Journal articles: 'Modèle du bus radial'

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Ahsan, Syed Muhammad, Hassan Abbas Khan, Akhtar Hussain, Sarmad Tariq, and Nauman Ahmad Zaffar. "Harmonic Analysis of Grid-Connected Solar PV Systems with Nonlinear Household Loads in Low-Voltage Distribution Networks." Sustainability 13, no. 7 (March 26, 2021): 3709. http://dx.doi.org/10.3390/su13073709.

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Grid-connected rooftop and ground-mounted solar photovoltaics (PV) systems have gained attraction globally in recent years due to (a) reduced PV module prices, (b) maturing inverter technology, and (c) incentives through feed-in tariff (FiT) or net metering. The large penetration of grid-connected PVs coupled with nonlinear loads and bidirectional power flows impacts grid voltage levels and total harmonic distortion (THD) at the low-voltage (LV) distribution feeder. In this study, LV power quality issues with significant nonlinear loads were evaluated at the point of common coupling (PCC). Various cases of PV penetration (0 to 100%) were evaluated for practical feeder data in a weak grid environment and tested at the radial modified IEEE-34 bus system to evaluate total harmonic distortion in the current (THDi) and voltage (THDv) at PCC along with the seasonal variations. Results showed lower active, reactive, and apparent power losses of 1.9, 2.6, and 3.3%, respectively, with 50% solar PV penetration in the LV network as the voltage profile of the LV network was significantly improved compared to the base case of no solar. Further, with 50% PV penetration, THDi and THDv at PCC were noted as 10.2 and 5.2%, respectively, which is within the IEEE benchmarks at LV.

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Chérubin, Audrey. "De l’homme-bus au modèle entrepreneurial." Cahiers du Genre 67, no. 2 (2019): 121. http://dx.doi.org/10.3917/cdge.067.0121.

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Sultana, Sneha, and Provas Kumar Roy. "Capacitor Placement in Radial Distribution System Using Oppositional Cuckoo Optimization Algorithm." International Journal of Swarm Intelligence Research 9, no. 3 (July 2018): 64–95. http://dx.doi.org/10.4018/ijsir.2018070103.

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Capacitors in distribution systems are used to supply reactive power to minimize power loss. This article presents an efficient optimization algorithm named oppositional cuckoo optimization algorithm (OCOA) for optimal allocation of capacitor in radial distribution systems to determine the optimal locations and sizes of capacitors with an objective of reduction of total cost considering different constraints. To test feasibility and effectiveness of the proposed OCOA, it is applied on 22-bus, 69-bus, 85-bus and 141-bus radial distribution systems as test studies and the results are compared with other methods available in literature. Comparison between the proposed method in this article and similar methods in other research works shows the effectiveness of the proposed method for solving optimum capacitor planning problem in radial distribution system.

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Farrag, Mahmoud Ali, Maged Gamal Zahra, and Shaimaa Omran. "Planning models for optimal routing of radial distribution systems." International Journal of Applied Power Engineering (IJAPE) 10, no. 2 (June 1, 2021): 108. http://dx.doi.org/10.11591/ijape.v10.i2.pp108-117.

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This paper presents three planning models for optimal routing of radial distribution systems. In the first two models, the cost function includes capital cost of lines, energy loss cost, and bays cost. The constraints equations include power balance equations, voltage drop equations, radiality equations, logic equations, thermal limit equations, and bus voltage limit equations. The first model considers the energy loss equation in its quadratic form while the second model approximates the energy loss equation of each cable size by a simple linear segment considering the economic loading of each cable size. In the third model, two sub-models are used where the first one gets the optimal radial network configuration regardless of the cable sizes and voltage constraints. In the second sub-model the best cable size on each selected line of the first model is determined to minimize the system costs while considering the bus voltage limit constraint and thermal limit constraint. Verification of the proposed planning models has been made using a real 11 kV 34-bus distribution network with 68 initial lines.

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Karim, Andi Nurtrimarini. "Intra Analisis Gangguan Tiga Fasa Seimbang Menggunakan Pendekatan Metode Radial Equivalent Independent DIMO Pada Sistem Interkoneksi Sulbagsel." Jurnal Penelitian Enjiniring 22, no. 1 (May 20, 2019): 81–88. http://dx.doi.org/10.25042/jpe.052018.14.

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Makalah ini menyajikan analisis gangguan transient tiga fasa seimbang pada system interkoneksi Sulawesi Bagian Selatan (Sulbagsel). Sistem interkoneksi Sulbagsel yang multi mesin dan sangat kompleks tentu sangat berpengaruh pada perubahan-perubahan kondisi pada sistem, baik itu saat terjadinya hubung singkat maupun perubahan beban yang tiba-tiba pada system. Melalui pendekatan Metode Radial Equivalent Independent Dimo (REI-Dimo) maka akan dilakukan studi analisis system interkoneksi Sulbagsel yang terdiri dari 44 bus, 15 generator, 47 line, dan 34 beban yang selanjutnya akan di reduksi untuk mendapatkan bus generator terlemah serta arus gangguan terbesar pada bus. Hasil analisis diperoleh bahwa saat dilakukan simulasi hubung singkat didapatkan bus terlemah berada pada bus generator 2 (Pinrang) dengan nilai tegangan rata-rata selama gangguan sebesar 0.6492 pu. Sementara untuk arus gangguan terbesar terjadi pada bus 12 (Sengkang) yakni sebesar 29.9189 pu. Kata Kunci : Transient Stability, REI-Dimo, Hubung Singkat, Sulbagsel.

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Akbar Firdaus, Aji, Ontoseno Penangsang, Adi Soeprijanto, and Dimas Fajar U.P. "Distribution Network Reconfiguration Using Binary Particle Swarm Optimization to Minimize Losses and Decrease Voltage Stability Index." Bulletin of Electrical Engineering and Informatics 7, no. 4 (December 1, 2018): 514–21. http://dx.doi.org/10.11591/eei.v7i4.821.

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Power losses and voltage drop are existing problems in radial distribution networks. This power losses and voltage drop affect the voltage stability level. Reconfiguring the network is a form of approach to improve the quality of electrical power. The network reconfiguration aims to minimize power losses and voltage drop as well as decreasing the Voltage Stability Index (VSI). In this research, network reconfiguration uses binary particle swarm optimization algorithm and Bus Injection to Branch Current-Branch Current to Bus Voltage (BIBC-BCBV) method to analyze the radial system power flow. This scheme was tested on the 33-bus IEEE radial distribution system 12.66 kV. The simulation results show that before reconfiguration, the active power loss is 202.7126 kW and the VSI is 0.20012. After reconfiguration, the active power loss and VSI decreased to 139.5697 kW and 0.14662, respectively. It has decreased the power loss for 31.3136% significantly while the VSI value is closer to zero.

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The, Tung Tran, Sy Nguyen Quoc, and Dieu Vo Ngoc. "Symbiotic Organism Search Algorithm for Power Loss Minimization in Radial Distribution Systems by Network Reconfiguration and Distributed Generation Placement." Mathematical Problems in Engineering 2020 (June 22, 2020): 1–22. http://dx.doi.org/10.1155/2020/1615792.

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This paper proposes the Symbiotic Organism Search (SOS) algorithm to find the optimal network configuration and the placement of distributed generation (DG) units that minimize the real power loss in radial distribution networks. The proposed algorithm simulates symbiotic relationships such as mutualism, commensalism, and parasitism for solving the optimization problems. In the optimization process, the reconfiguration problem produces a large number of infeasible network configurations. To reduce these infeasible individuals and ensure the radial topology of the network, the graph theory was applied during the power flow. The implementation of the proposed SOS algorithm was carried out on 33-bus, 69-bus, 84-bus, and 119-bus distribution networks considering seven different scenarios. Simulation results and performance comparison with other optimization methods showed that the SOS-based approach was very effective in solving the network reconfiguration and DG placement problems, especially for complex and large-scale distribution networks.

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Ogawa, H., S. Furuya, H. Koseki, H. Iida, K. Sato, and K. Yamagishi. "A Study on the Contour of the Truck and Bus Radial Tire." Tire Science and Technology 18, no. 4 (October 1, 1990): 236–61. http://dx.doi.org/10.2346/1.2141702.

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Abstract The Tension Control Optimization Theory, TCOT, allows for heavy duty truck and bus tires with greater bead and belt durability and increased fuel efficiency than conventionally shaped truck and bus tires, without sacrificing other important performance characteristics such as maneuverability, wear resistance, etc. Before TCOT, conventional truck and bus tires used the theory of the natural equilibrium shape as a base. TCOT technology expands the Rolling Contour Optimization Theory, RCOT, and proposes the ultimate tire casing contour according to tire application. TCOT optimizes the control of the tension in an inflated tire and the control of the change of the contour by inflation pressure, and regulates strains in the belts and plycord edges, limiting the occurrence and spread of minute but potentially damaging cracks in the vulnerable edges of a rolling tire.

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Araga, Idris A., Abel E. Airoboman, and Simon A. Auta. "Voltage profile improvement and losses minimization for Hayin Rigasa radial network Kaduna using distributed generation." Journal of Advances in Science and Engineering 5, no. 1 (July 31, 2021): 20–36. http://dx.doi.org/10.37121/jase.v5i1.163.

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This research work has presented the application of distributed generation (DG) units in a simultaneous placement approach on IEEE 33 radial test systems for validation of the technique with further implementation on 56-Bus Hayin Rigasa feeder. The genetic algorithm (GA) is employed in obtaining the optimal sizes and load loss sensitivity index for locations of the DGs for entire active and reactive power loss reduction. The voltage profile index is computed for each bus of the networks to ascertain the weakest voltage bus of the network before and after DG and circuit breaker allocation. The simultaneous placement approach of the DGs is tested with the IEEE 33-bus test networks and Hayin Rigasa feeder network and the results obtained are confirmed by comparing with the results gotten from separate DGs allocation on the networks. For IEEE 33-bus system, the simultaneous allocation of DGs and of optimal sizes 750 kW, 800 kW and at locations of buses 2 and 6 respectively, lead to a 66.49 % and 68.64 % drop in active and reactive power loss and 3.02 % improvement in voltage profile. For the 56-bus Hayin Rigasa network in Kaduna distribution network, the simultaneous placement of DGs of sizes 1,470 kW and 1490 kW at locations of bus 16 and 23 respectively, lead to a 79.54 % and 73.98 % drop in active and reactive power loss and 15.94 % improvement in voltage profile. From results comparison, it is evident that the allocation of DGs using the combination GA and load loss sensitivity index, gives an improved performance in relations to power loss reduction and voltage profile improvements of networks when compared to without DGs.

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Kikusato, Hiroshi, Taha Selim Ustun, Dai Orihara, Jun Hashimoto, and Kenji Otani. "Aggregation of Radial Distribution System Bus with Volt-Var Control." Energies 14, no. 17 (August 30, 2021): 5390. http://dx.doi.org/10.3390/en14175390.

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The high penetration of the distributed energy resources (DERs) encourages themselves to implement grid-supporting functions, such as volt-var control. The quasi-static time-series (QSTS) simulation is an essential technique to evaluate the impact of active DERs on the grid. Meanwhile, the increase of complexity on the circuit model causes a heavy computational burden of QSTS simulation. Although circuit reduction methods have been proposed, there have been few methods that can appropriately handle the distribution system (DS) with multiple voltage control devices, such as DERs implementing volt-var control. To address the remaining issues, this paper proposes an offline bus aggregation method for DS with volt-var control. The method determines the volt-var curve for the aggregated bus on the basis of historical data to reduce error in the aggregated model, and its offline process solves the computational convergence issue concerned in the online one. The effectiveness of the proposed method is validated in the simulation using a Japanese low-voltage DS model. The simulation results show that the proposed method can reduce the voltage error and computational time. Furthermore, the versatility of the proposed method is verified to show the performance does not heavily depend on how to select historical data for model-building.

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Battu, Neelakanteshwar Rao, A. R. Abhyankar, and Nilanjan Senroy. "DG Planning with Amalgamation of Operational and Reliability Considerations." International Journal of Emerging Electric Power Systems 17, no. 2 (April 1, 2016): 131–41. http://dx.doi.org/10.1515/ijeeps-2015-0142.

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Abstract Distributed Generation has been playing a vital role in dealing issues related to distribution systems. This paper presents an approach which provides policy maker with a set of solutions for DG placement to optimize reliability and real power loss of the system. Optimal location of a Distributed Generator is evaluated based on performance indices derived for reliability index and real power loss. The proposed approach is applied on a 15-bus radial distribution system and a 18-bus radial distribution system with conventional and wind distributed generators individually.

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Bhongade, S., and Sachin Arya. "Optimal Capacitors in Radial Distribution System for Loss Reduction and Voltage Enhancement." Indonesian Journal of Electrical Engineering and Computer Science 2, no. 3 (June 1, 2016): 566. http://dx.doi.org/10.11591/ijeecs.v2.i3.pp566-582.

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The work presented in this paper is carried out with the objective of identifying the optimal location and size (Kvar ratings) of shunt capacitors to be placed in radial distribution system, to have overall economy considering the saving due to energy loss minimization. To achieve this objective, a two stage methodology is adopted in this paper. In the first stage, the base case load flow of uncompensated distribution system is carried out. On the basis of base case load flow solution, Nominal voltage magnitudes and Loss Sensitivity Factors are calculated and the weak buses are selected for capacitor placement.In the second stage, Particle Swarm Optimization (PSO) algorithm is used to identify the size of the capacitors to be placed at the selected buses for minimizing the power loss. The developed algorithm is tested for 10-bus, 34-bus and 85-bus Radial Distribution Systems. The results show that there has been an enhancement in voltage profile and reduction in power loss thus resulting in much annual saving.

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Yuli Asmi, Rahman, Agus Siswanto, and Irwan Mahmudi. "Stability issues in presence variable distributed generation into radial distribution network." MATEC Web of Conferences 218 (2018): 01005. http://dx.doi.org/10.1051/matecconf/201821801005.

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Related to environmental issues resulting from the use of traditional energy sources, drive usage of renewable energy is increasing. Changes in the structure of the network will certainly affect the changes in voltage stability. In this paper, discuss the impact of the stability after distributed generation penetration whose its output intermittent relatively. The simulation based PSAT software and tested into IEEE 30 bus system. Observation of voltage deviation and SVSI-index on some load buses in conditions before and after integration of wind generation. Load condition is a very determining factor of bus voltage stability index. This relates to the active power and reactive power needs that must be injected by DG penetration.

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Liang, Chen, Guolin Wang, Dengfeng An, and Yinwei Ma. "Tread wear and footprint geometrical characters of truck bus radial tires." Chinese Journal of Mechanical Engineering 26, no. 3 (May 2013): 506–11. http://dx.doi.org/10.3901/cjme.2013.03.506.

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Chang, Shyue Koong. "Radial bus networks with multi-period and many-to-many demand." Journal of Advanced Transportation 25, no. 2 (March 1991): 225–46. http://dx.doi.org/10.1002/atr.5670250207.

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Yuvaraj, T., K. Ravi, and K. R. Devabalaji. "Optimal Allocation of DG and DSTATCOM in Radial Distribution System Using Cuckoo Search Optimization Algorithm." Modelling and Simulation in Engineering 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/2857926.

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This paper proposes a new approach to determine the optimal location and sizing of Distributed Generation (DG) and Distribution STATic COMpensator (DSTATCOM) simultaneously in the distribution network. The objective function is formulated to minimize the total power losses of the system subjected to equality and inequality constraints. Loss sensitivity factor (LSF) and Voltage Stability Index (VSI) are used to predetermine the optimal location of DG and DSTATCOM, respectively. Recently developed nature-inspired cuckoo search algorithm (CSA) has been used to determine the optimal size of both DG and DSTATCOM. In the present work, five different cases have been considered during DG and DSTATCOM placement to access the performance of the proposed technique. To check the feasibility, the proposed method is tested on IEEE 12-bus, 34-bus, and 69-bus radial distribution system and the results were compared with other existing techniques.

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Nawaz, Sarfaraz, M. P. Sharma, and Abhishek Gupta. "Optimal Allocation of Capacitor Bank in Radial Distribution System using Analytical Approach." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 2 (April 1, 2017): 748. http://dx.doi.org/10.11591/ijece.v7i2.pp748-753.

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In this paper, a novel analytical technique is proposed for optimal allocation of shunt capacitor bank in radial distribution system. An objective function is formulated to determine the optimal size, number and location of capacitor bank for real & reactive power loss reduction, voltage profile enhancement and annual cost saving. A new constant, Power Voltage Sensitivity Constant (PVSC), has been proposed here. The value of PVSC constant decides the candidate bus location and size. The achievability of the proposed method has been demonstrated on IEEE-69 bus and real distribution system of Jamawaramgarh, Jaipur city. The obtained results are compared with latest optimization techniques to show the effectiveness and robustness of the proposed technique.

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Saxena, Akash, and Ankit Kumar Sharma. "Assessment of Global Voltage Stability Margin through Radial Basis Function Neural Network." Advances in Electrical Engineering 2016 (September 29, 2016): 1–11. http://dx.doi.org/10.1155/2016/4858431.

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Dynamic operating conditions along with contingencies often present formidable challenges to the power engineers. Decisions pertaining to the control strategies taken by the system operators at energy management centre are based on the information about the system’s behavior. The application of ANN as a tool for voltage stability assessment is empirical because of its ability to do parallel data processing with high accuracy, fast response, and capability to model dynamic, nonlinear, and noisy data. This paper presents an effective methodology based on Radial Basis Function Neural Network (RBFN) to predict Global Voltage Stability Margin (GVSM), for any unseen loading condition of the system. GVSM is used to assess the overall voltage stability status of the power system. A comparative analysis of different topologies of ANN, namely, Feedforward Backprop (FFBP), Cascade Forward Backprop (CFB), Generalized Regression (GR), Layer Recurrent (LR), Nonlinear Autoregressive Exogenous (NARX), ELMAN Backprop, and Feedforward Distributed Time Delay Network (FFDTDN), is carried out on the basis of capability of the prediction of GVSM. The efficacy of RBFN is better than other networks, which is validated by taking the predictions of GVSM at different levels of Additive White Gaussian Noise (AWGN) in input features. The results obtained from ANNs are validated through the offline Newton Raphson (N-R) method. The proposed methodology is tested over IEEE 14-bus, IEEE 30-bus, and IEEE 118-bus test systems.

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Simamora, Yoakim, Ibnu Hajar, and Alex Fernandes. "Penerapan Algoritma Kunang – Kunang (Firefly Algorithm) untuk Optimasi Rekonfigurasi Jaringan Distribusi Radial." Energi & Kelistrikan 11, no. 2 (October 16, 2019): 71–79. http://dx.doi.org/10.33322/energi.v11i2.498.

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ABSTRAK Penelitian ini membahas tentang rekonfigurasi jaringan untuk meminimalkan rugi jaringan pada sistem distribusi. Nilai rekonfigurasi jaringan dibatasi oleh jumlah tie switch yang ada pada jaringan distribusi. Rekonfigurasi jaringan Distribusi merupakan salah satu cara yang dilakukan untuk memperbaiki kualitas daya, kualitas daya dalam hal ini adalah perbaikan jatuh tegangan dan rugi – rugi daya. Binary firefly algorithm digunakan untuk optimasi rekonfigurasi jaringan Distribusi IEEE 33 bus. Skema ini diujikan pada sistem 12,66 kV. Hasil simulasi dengan menggunakan binary firefly algorithm pada saat belum dilakuakn optimasi pada sistem distribusi IEEE 33 bus memiliki rugi jaringan sebesar 202,69 kW dengan tegangan minimum 0,91 pu. Setelah rekonfigurasi jaringan rugi jaringan yang optimal sebesar 139,53 kW dengan tegangan minimum 0,95 pu. Kata kunci: Rekonfigurasi, Rugi-rugi Daya, Fire Fly Algorithm

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Et al., Christeen G. Boktor. "Harmonic Analysis Considering DG Allocation and Load Growth in the Radial Distribution System." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (April 5, 2021): 1741–52. http://dx.doi.org/10.17762/turcomat.v12i6.3381.

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In the radial distribution system (RDS), the existence of nonlinear loads causes the generation of harmonic currents, which lead to a lot of problems in the system and equipment, such as electronic equipment is used to control the system due to its effectiveness and accuracy. But these are led to an increase in power losses, equipment will be damaged because of overloads, distortion in voltage and current waveforms. So, the importance of harmonic analysis is increased in the last researches and application for designing and determining its effect in the distribution system. Its benefit appears in finding how much the waveforms for voltage and current are distorted in all the buses in RDS. In this study, we will use the direct approach method to calculate harmonic load flow (HLF) analysis depending on two matrices BIBC and BCBV to determine the relationship between first branch current and bus injection, second branch current with bus voltage. This method is robust and more efficient in solving HLF. It will be applied on IEEE 34 bus system by using a hybrid optimization technique HPOGWO to determine the size for the distributed generated DG. Single, double, and triple units will inject to enhancement voltage profile considering load growth with harmonic sources (HRS) and comparing with the network without HRS.

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Angalaeswari, S., P. Sanjeevikumar, K. Jamuna, and Zbigniew Leonowicz. "Hybrid PIPSO-SQP Algorithm for Real Power Loss Minimization in Radial Distribution Systems with Optimal Placement of Distributed Generation." Sustainability 12, no. 14 (July 18, 2020): 5787. http://dx.doi.org/10.3390/su12145787.

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This paper proposes the hybrid sequential quadratic programming (SQP) technique based on active set method for identifying the optimal placement and rating of distribution generation (DG) incorporated in radial distribution systems (RDS) for minimizing the real power loss satisfying power balance equations and voltage limits. SQP runs quadratic programming sequentially as a sub-program to obtain the best solution by using an active set method. In this paper, the best optimal solution is selected with less computation time by combining the benefits of both classical and meta-heuristic methods. SQP is a classical method that is more sensitive to initial value selection and the evolutionary methods give approximate solution. Hence, the initial values for the SQP technique were obtained from the meta–heuristic method of Parameter Improved Particle Swarm Optimization (PIPSO) algorithm. The proposed hybrid PIPSO–SQP method was implemented in IEEE 33-bus RDS, IEEE 69-bus RDS, and IEEE 118-bus RDS under different loading conditions. The results show that the proposed method has efficient reduction in real power loss minimization through the enhancement of the bus voltage profile.

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Mekhamer, S. F., R. H. Shehata, A. Y. Abdelaziz, and M. A. Al-Gabalawy. "Enhancing radial distribution system performance by optimal placement of DSTATCOM." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 3 (June 1, 2020): 2850. http://dx.doi.org/10.11591/ijece.v10i3.pp2850-2860.

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In this paper, A novel modified optimization method was used to find the optimal location and size for placing distribution Static Compensator in the radial distribution test feeder in order to improve its performance by minimizing the total power losses of the test feeder, enhancing the voltage profile and reducing the costs. The modified grey wolf optimization algorithm is used for the first time to solve this kind of optimization problem. An objective function was developed to study the radial distribution system included total power loss of the system and costs due to power loss in system. The proposed method is applied to two different test distribution feeders (33 bus and 69 bus test systems) using different Dstatcom sizes and the acquired results were analyzed and compared to other recent optimization methods applied to the same test feeders to ensure the effectiveness of the used method and its superiority over other recent optimization mehods. The major findings from obtained results that the applied technique found the most minimized total power loss in system ,the best improved voltage profile and most reduction in costs due power loss compared to other methods .

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Jamil Mahfoud, Rabea, Yonghui Sun, Nizar Faisal Alkayem, Hassan Haes Alhelou, Pierluigi Siano, and Miadreza Shafie-khah. "A Novel Combined Evolutionary Algorithm for Optimal Planning of Distributed Generators in Radial Distribution Systems." Applied Sciences 9, no. 16 (August 17, 2019): 3394. http://dx.doi.org/10.3390/app9163394.

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In this paper, a novel, combined evolutionary algorithm for solving the optimal planning of distributed generators (OPDG) problem in radial distribution systems (RDSs) is proposed. This algorithm is developed by uniquely combining the original differential evolution algorithm (DE) with the search mechanism of Lévy flights (LF). Furthermore, the quasi-opposition based learning concept (QOBL) is applied to generate the initial population of the combined DELF. As a result, the new algorithm called the quasi-oppositional differential evolution Lévy flights algorithm (QODELFA) is presented. The proposed technique is utilized to solve the OPDG problem in RDSs by taking three objective functions (OFs) under consideration. Those OFs are the active power loss minimization, the voltage profile improvement, and the voltage stability enhancement. Different combinations of those three OFs are considered while satisfying several operational constraints. The robustness of the proposed QODELFA is tested and verified on the IEEE 33-bus, 69-bus, and 118-bus systems and the results are compared to other existing methods in the literature. The conducted comparisons show that the proposed algorithm outperforms many previous available methods and it is highly recommended as a robust and efficient technique for solving the OPDG problem.

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Setia, Giri Angga, Fauzia Haz, and Gibson Hilman Maruhum Sianipar. "Performa Metode Aliran Daya Fast Decoupled di Jaringan Distribusi." JTERA (Jurnal Teknologi Rekayasa) 3, no. 2 (December 3, 2018): 249. http://dx.doi.org/10.31544/jtera.v3.i2.2018.249-254.

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Makalah ini menyajikan suatu performa metode aliran daya fast decoupled di jaringan distribusi. Karakteristik jaringan distribusi diantaranya rasio saluran R/X tinggi, struktur radial, saluran terdiri dari 1, 2, dan 3 fasa, serta beban tidak seimbang. Permasalahan mengenai kompleksnya karakteristik jaringan tersebut menuntut para peneliti untuk mengembangkan metode aliran daya konvensional agar dapat diterapkan. Metode aliran daya fast decoupled dapat bekerja dengan baik di jaringan transmisi. Karakteristik jaringan distribusi dengan rasio saluran R/X yang tinggi mengurangi kemampuan konvergensinya dan bahkan terjadi divergensi. Oleh karena itu, makalah ini mengajukan pengembangan metode fast decoupled berupa rotasi sumbu yang dilakukan di setiap bus. Pengujian dilakukan pada standar jaringan distribusi IEEE 13 dan 34 bus. Performa pada jaringan distribusi 13 bus membutuhkan 3,5 iterasi dengan waktu komputasi 0,049 detik dan sudut rotasi optimal -43,4°, sedangkan performa pada jaringan distribusi 34 bus membutuhkan 4 iterasi dengan waktu komputasi 0,152 detik dan sudut rotasi optimal -61,4°. Ketika dibandingkan dengan metode Backward-Forward Sweep (BFS) yang merupakan metode favorit dalam melakukan perhitungan aliran daya di jaringan distribusi radial, menunjukkan bahwa keduanya memiliki performa yang sama baiknya. Oleh karena itu, metode rotasi sumbu fast decoupled layak diterapkan dengan variasi karakteristik jaringan distribusi. Selain itu, metode ini dapat diterima secara umum karena tidak hanya dapat diterapkan dengan baik di jaringan transmisi, tetapi di jaringan distribusi.

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Tamilselvan, V., and T. Jayabarathi. "Multi objective Flower Pollination Algorithm for solving capacitor placement in radial distribution system using data structure load flow analysis." Archives of Electrical Engineering 65, no. 2 (June 1, 2016): 203–20. http://dx.doi.org/10.1515/aee-2016-0014.

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Abstract The radial distribution system is a rugged system, it is also the most commonly used system, which suffers by loss and low voltage at the end bus. This loss can be reduced by the use of a capacitor in the system, which injects reactive current and also improves the voltage magnitude in the buses. The real power loss in the distribution line is the I2R loss which depends on the current and resistance. The connection of the capacitor in the bus reduces the reactive current and losses. The loss reduction is equal to the increase in generation, necessary for the electric power provided by firms. For consumers, the quality of power supply depends on the voltage magnitude level, which is also considered and hence the objective of the problem becomes the multi objective of loss minimization and the minimization of voltage deviation. In this paper, the optimal location and size of the capacitor is found using a new computational intelligent algorithm called Flower Pollination Algorithm (FPA). To calculate the power flow and losses in the system, novel data structure load flow is introduced. In this, each bus is considered as a node with bus associated data. Links between the nodes are distribution lines and their own resistance and reactance. To validate the developed FPA solutions standard test cases, IEEE 33 and IEEE 69 radial distribution systems are considered.

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Latreche, Y., H. R. E. H. Bouchekara, M. S. Javaid, M. M. Aman, H. Mokhlis, and F. Kerrour. "Optimal incorporation of multiple distributed generation units based on a new system maximum loadability computation approach and vortex searching algorithm." International Journal of Applied Power Engineering (IJAPE) 8, no. 2 (August 1, 2019): 186. http://dx.doi.org/10.11591/ijape.v8.i2.pp186-208.

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In this paper, the optimal incorporation of distributed generation (OIDG) units for the maximization of the system‟s loadability is investigated (based on sizing and siting). To this end a new computational approach for computing maximum loadability of the system is developed. This approach has been compared with the classical one on different radial test systems (RTS) and is found to be faster and more accurate. The OIDG problem is formulated mathematically as an optimization problem with the objective function to maximize system‟s loadability, the imposed constraints are; voltage limits, thermal limits and DG penetration level. The optimization algorithm used is to solve the OIDG problem is the Vortex searching algorithm (VS). The tested radial distribution systems are the standard 33-bus and 69-bus systems. This paper also discusses some other interesting findings about VS algorithm.

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Malleswari, Vericherla N., and K. Chandra Sekhar. "Load Modeling Effect on Voltage Stability in Radial Distribu-tion Systems – A Case Study." International Journal of Engineering & Technology 7, no. 4.24 (November 27, 2018): 87. http://dx.doi.org/10.14419/ijet.v7i4.24.21862.

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Generally, the distribution systems have served for different types of loads like commercial, industrial, residential, agriculture and municipality etc. and diverse changes in consumption pattern occur at any part of the network at any time of the day. During light loading condition, the voltage profile can increase and vice versa for peak loading condition. Under these circumstances, it is worthwhile to understand the voltage stability for planning of any Volt/VAr controls. This paper has presented the voltage stability analysis of 12-bus and 85-bus standard radial distribution systems using line stability index. Different load models have been taken and under each model, the system performance as well as its stability discussed. The focal points are suitable for planning studies like Volt/VAr controls, optimal location of Distribution Generation (DG) or load shedding etc.

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Mohamed, Norainon, and Dahaman Ishak. "Improved load flow formulation for radial distribution networks." Indonesian Journal of Electrical Engineering and Computer Science 15, no. 3 (September 1, 2019): 1144. http://dx.doi.org/10.11591/ijeecs.v15.i3.pp1144-1153.

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This paper aims to provide an improved load flow formulation for solving load flow problem in radial distribution networks. The improved algorithm is formulated from the basic Kirchoff’s voltage law. The proposed method does not need any matrix multiplication, and the voltage equation is derived to compute the voltage at each node. The proposed method is then tested on 28-bus, IEEE-33 and IEEE-69 systems of radial distribution networks with different resistance to reactance ratio and different condition of loads. The simulation results from the suggested algorithm show that the proposed method has fast convergence capability compared with other existing methods. A very good agreement is achieved.

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Deb, Gagari, and Kabir Chakraborty. "Gauss-Seidel Method based Voltage Security Analysis of Distribution System." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 1 (February 1, 2018): 43. http://dx.doi.org/10.11591/ijece.v8i1.pp43-51.

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Complexity of modern power network and Large disturbance results voltage collapse. So, voltage security analysis is important in power system. Indicators are helpful in voltage stability analysis, as they give information about the state of the system. In this paper a new indicator namely Distribution System Stability Indicator (DSSI) has been formulated using the information of Phasor Measurement Unit (PMU).The proposed indicator (DSSI) is tested on standard IEEE 33 bus radial distribution system. The suggested indicator is also applicable to the equivalent two bus system of a multi-bus power system. The proposed indicator is calculated for different contingent conditions at different system load configurations. The result of DSSI is verified with the standard indicator (VSI) which proves applicability of the proposed indicator. The bus voltages of all the buses at base loading and at maximum loading are evaluated for base data and for tripping of most critical line.

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Kamarudin, Muhamad Najib, Tengku Juhana Tengku Hashim, and AbdulHamid Musa. "Optimal sizing and location of distributed generation for loss minimization using firefly algorithm." Indonesian Journal of Electrical Engineering and Computer Science 14, no. 1 (April 1, 2019): 421. http://dx.doi.org/10.11591/ijeecs.v14.i1.pp421-427.

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Distributed generation (DG) plays an important role in improving power quality as well as system realibility. As the incorporation of DG in the power distribution network creates several problems to the network operators, locating a suitable capacity and placement for DG will essentially help to improve the quality of power delivery to the end users. This paper presents the simulation of an application of firefly algorithm (FA) for optimally locating the most suitable placement and capacity of distributed generation (DG) in IEEE 33-bus radial distribution network. This strategy aims at minimizing losses together with improving the voltage profile in distribution network. The losses in real power and voltages at each bus are obtained using load flow analysis which was performed on an IEEE 33-bus radial distribution network using forward sweep method. The proposed method comprises of simulation of the test system with DG as well as in the absence of DG in the system. A comparison between the Firefly Algorithm (FA) with Genetic Algorithm (GA) is also demonstrated in this paper. The results obtained have proven that the Firefly Algorithm has a better capability at improving both the voltage profile and the power losses in the system.

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Azad, Sasan, Mohammad Mehdi Amiri, Morteza Nazari Heris, Ali Mosallanejad, and Mohammad Taghi Ameli. "A Novel Analytical Approach for Optimal Placement and Sizing of Distributed Generations in Radial Electrical Energy Distribution Systems." Sustainability 13, no. 18 (September 13, 2021): 10224. http://dx.doi.org/10.3390/su131810224.

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Considering the strong influence of distributed generation (DG) in electric distribution systems and its impact on network voltage losses and stability, a new challenge has appeared for such systems. In this study, a novel analytical algorithm is proposed to distinguish the optimal location and size of DGs in radial distribution networks based on a new combined index (CI) to reduce active power losses and improve system voltage profiles. To obtain the CI, active power losses and voltage stability indexes were used in the proposed approach. The CI index with sensitivity analysis was effective in decreasing power losses and improving voltage stability. Optimal DG size was determined based on a search algorithm to reduce active power losses. The considered scheme was examined through IEEE 12-bus and 33-bus radial distribution test systems (RDTS), and the obtained results were compared and validated in comparison with other available methods. The results and analysis verified the effectiveness of the proposed algorithm in reducing power losses and improving the distribution system voltage profiles by determining the appropriate location and optimal DG size. In IEEE 12 and 33 bus networks, the minimum voltage increased from 0.9434 p.u and 0.9039 p.u to 0.9907 p.u and 0.9402 p.u, respectively. Additionally, the annual cost of energy losses decreased by 78.23% and 64.37%, respectively.

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Salkuti, Surender Reddy, and Young Hwan Lho. "Optimum Location of Voltage Regulators in the Radial Distribution Systems." International Journal of Emerging Electric Power Systems 17, no. 3 (June 1, 2016): 351–61. http://dx.doi.org/10.1515/ijeeps-2015-0197.

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Abstract In this paper, a new heuristic algorithm is proposed for the optimum voltage control, which is applicable for the large Radial Distribution Systems (RDSs). In the RDSs, voltage levels at different buses can be maintained within the specified limits using the conductor grading or placing the Voltage Regulators (VRs) and capacitors at suitable locations. The proposed Back Tracking Algorithm (BTA) proposes the optimal location, number and tap positions of VRs to maintain the voltage profile within the desired limits and decreases losses in the system, which in turn maximizes the net savings in the operation of distribution system. In addition to BTA, an approach using the fuzzy logic called Fuzzy Expert System (FES) is also proposed, and the results of FES are compared with the results of BTA. This heuristic algorithm proposes the optimal location and tap setting of VRs, which contributes a smooth voltage profile along the network. It also used to access the minimum number of initially considered VRs, by moving them in such way as to control the network voltage at minimum possible cost. It is concluded that the FES also gives the optimal placement and the number along with the tap settings of VRs. The proposed FES contributes good voltage regulation, and decreases the power loss which in turn increases the net savings when compared to the BTA. The effectiveness of the proposed heuristic approaches are examined on practical 47 bus and 69 bus Radial Distribution Systems (RDSs).

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Hantash, Neda, Tamer Khatib, and Maher Khammash. "An Improved Particle Swarm Optimization Algorithm forOptimal Allocation of Distributed Generation Units in Radial Power Systems." Applied Computational Intelligence and Soft Computing 2020 (September 3, 2020): 1–8. http://dx.doi.org/10.1155/2020/8824988.

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In this paper, an improved particle swarm optimization method (PSO) is proposed to optimally size and place a DG unit in an electrical power system so as to improve voltage profile and reduce active power losses in the system. An IEEE 34 distribution bus system is used as a case study for this research. A new equation of weight inertia is proposed so as to improve the performance of the PSO conventional algorithm. This development is done by controlling the inertia weight which affects the updating velocity of particles in the algorithm. Matlab codes are developed for the adapted electrical power system and the improved PSO algorithm. Results show that the proposed PSO algorithm successfully finds the optimal size and location of the desired DG unit with a capacity of 1.6722 MW at bus number 10. This makes the voltage magnitude of the selected bus equal to 1.0055 pu and improves the status of the electrical power system in general. The minimum value of fitness losses using the applied algorithm is found to be 0.0.0406 while the average elapsed time is 62.2325 s. In addition to that, the proposed PSO algorithm reduces the active power losses by 31.6%. This means that the average elapsed time is reduced by 21% by using the proposed PSO algorithm as compared to the conventional PSO algorithm that is based on the liner inertia weight equation.

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Airoboman, Abel E., Ayemere P. Oriaifo, and Samuel T. Wara. "Impact of faults on bus stability on an island 330kV mesh network on the Nigerian grid." Journal of Electrical, Control and Telecommunication Research 2 (November 9, 2020): 30–41. http://dx.doi.org/10.37121/jectr.vol2.121.

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This study carried out an assessment on the impact of faults on bus stability along the Benin-IkejaWest-Aiyede-Oshogbo-Benin (BIAOB) 330kV island network. The sensitivity of BIAOB as a ring network on the Nigerian grid aroused the interest behind its choice for this study. The network parameters were collated from the National Control Centre, Oshogbo and the network was modeled on the MATLAB 2015 environment using the obtained data. A high reactive power flow was observed in all the buses while the lowest voltage profile was observed on the Line-Line-Line-Ground (L-L-L-G) simulated in bus 1. This is an indication that symmetrical faults have the greatest impact on the network. Further results showed that the BIAOB network has a better voltage profile when compared with other radial network from existing literature. The paper concluded by recommending the closure of more radial network on the grid in order to improve its performance.

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Y. Abdelaziz, A., S. F. Mekhamer, and R. H. Shehata. "Solution of distributed generation allocation problem using a novel method." Indonesian Journal of Electrical Engineering and Computer Science 15, no. 2 (August 1, 2019): 554. http://dx.doi.org/10.11591/ijeecs.v15.i2.pp554-564.

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In this paper, A novel optimization technique called whale optimization algorithm (WOA) is modified, used and implemented to find the best possible solution to the problem of optimal locating and sizing of Distributed Generation (DG) resources such as photovoltaic cells, fuel cells and kVAR compensators in radial distribution feeders. The modified technique is used for the first time to solve this kind of optimization problem which includes optimal sizing and location of DG units in radial distribution feeder.The proposed method is applied to two different test distribution feeders (15 bus and 33 bus test systems) using different DG types and the acquired results are analyzed and compared to other modern optimization methods to confirm that they give the best results, lowest system real power losses and highest voltage profile improvement among the other modern methods implemented on the same test systems.

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Faraby, Muhira Dzar, Ontoseno Penangsang, Rony Seto Wibowo, and Andi Fitriati. "Coordinated planning in improving power quality considering the use of nonlinear load in radial distribution system." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 6 (December 1, 2021): 4610. http://dx.doi.org/10.11591/ijece.v11i6.pp4610-4621.

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Power quality has an important role in the distribution of electrical energy. The use of non-linear load can generate harmonic spread which can reduce the power quality in the radial distribution system. This research is in form of coordinated planning by combining distributed generation placement, capacitor placement and network reconfiguration to simultaneously minimize active power losses, total harmonic distortion (THD), and voltage deviation as an objective function using the particle swarm optimization method. This optimization technique will be tested on two types of networks in the form 33-bus and 69-bus IEEE Standard Test System to show effectiveness of the proposed method. The use of MATLAB programming shows the result of simulation of increasing power quality achieved for all scenario of proposed method.

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Jain, Sanjay, Ganga Agnihotri, Shilpa Kalambe, and Renuka Kamdar. "Siting and Sizing of DG in Medium Primary Radial Distribution System with Enhanced Voltage Stability." Chinese Journal of Engineering 2014 (April 29, 2014): 1–9. http://dx.doi.org/10.1155/2014/518970.

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This paper intends to enumerate the impact of distributed generation (DG) on distribution system in terms of active as well as reactive power loss reduction and improved voltage stability. The novelty of the method proposed in this paper is the simple and effective way of sizing and siting of DG in a distribution system by using two-port Z-bus parameters. The validity of the method is verified by comparing the results with already published methods. Comparative study presented has shown that the proposed method leads existing methods in terms of its simplicity, undemanding calculation procedures, and less computational efforts and so does the time. The method is implemented on IEEE 69-bus test radial distribution system and results show significant reduction in distribution power losses with improved voltage profile of the system. Simulation is carried out in MATLAB environment for execution of the proposed algorithm.

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Satish, Raavi, Kanchapogu Vaisakh, Almoataz Y. Abdelaziz, and Adel El-Shahat. "A Novel Three-Phase Power Flow Algorithm for the Evaluation of the Impact of Renewable Energy Sources and D-STATCOM Devices on Unbalanced Radial Distribution Networks." Energies 14, no. 19 (September 27, 2021): 6152. http://dx.doi.org/10.3390/en14196152.

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The impacts of the fast growth of renewable energy sources (RESs) and distribution static synchronous compensators (D-STATCOMs) on unbalanced radial distribution networks (URDNs) are analyzed with three-phase power flow algorithms (PFAs). As the URDNs are unbalanced, they can experience voltage unbalance (VU). This paper proposes a novel three-phase PFA for URDNs with multiple RES and D-STATCOM device integrations. The bus number matrix (BNM) and branch number matrix (BRNM) developed in this paper make the implementation of the proposed PFA simple. These matrices are developed to store the bus numbers and branch numbers of newly created sections of the URDN. Both PQ and PV modeling of RES and PV modeling of D-STATCOM devices are effectively integrated into the proposed three-phase PFA. The accuracy of the proposed PFA has been tested on the IEEE-13 bus URDN and the results are found to be accurate with the IEEE results. Several study examples have been conducted on the IEEE-13 bus and the IEEE-34 bus URDNs with multiple integrations of three-phase RESs and three-phase D-STATCOMs. Test results indicate that these integrations improve the voltage profile, reduce the power loss and reduce the severity of the VU.

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Duong, Minh, Thai Pham, Thang Nguyen, Anh Doan, and Hai Tran. "Determination of Optimal Location and Sizing of Solar Photovoltaic Distribution Generation Units in Radial Distribution Systems." Energies 12, no. 1 (January 6, 2019): 174. http://dx.doi.org/10.3390/en12010174.

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This paper presents an effective biogeography-based optimization (BBO) for optimal location and sizing of solar photovoltaic distributed generation (PVDG) units to reduce power losses while maintaining voltage profile and voltage harmonic distortion at the limits. This applied algorithm was motivated by biogeography, that the study of the distribution of biological species through time and space. This technique is able to expand the searching space and retain good solution group at each generation. Therefore, the applied method can significantly improve performance. The effectiveness of the applied algorithm is validated by testing it on IEEE 33-bus and IEEE 69-bus radial distribution systems. The obtained results are compared with the genetic algorithm (GA), the particle swarm optimization algorithm (PSO) and the artificial bee colony algorithm (ABC). As a result, the applied algorithm offers better solution quality and accuracy with faster convergence.

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Yahyaoui, Hiba, Abdelkader Dekdouk, and Saoussen Krichen. "GPU-Based Power Flow Method a Multi-Objective Power Optimization Model for Reconfiguration Problem in Radial Distribution Networks." International Journal of Energy Optimization and Engineering 7, no. 4 (October 2018): 56–67. http://dx.doi.org/10.4018/ijeoe.2018100103.

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This article addresses the distribution network reconfiguration problem (DNRP) and the power flow method. The studied DNRP operates on standard configurations of electrical networks. The main objectives handled are the minimization of power loss, the number of switching operations and the deviations of bus voltages from their rated values. Metaheuristic approaches based on Greedy Iterated Local Search where proposed to solve the DNRP. A benchmarking testbed on standard systems well illustrates the incentive behind using GrILS for solving the DNRP. In addition, the proposed approaches and the power flow method where implemented on GPU architecture. The GPU implementation shows its effectiveness against the CPU in terms of time consuming specially for large-scale bus systems.

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Abdelkader, M. A., Mostafa A. Elshahed, and Zeinab H. Osman. "A New Power Flow Algorithm for Passive and Active Radial Distribution Networks." International Journal of Engineering Research in Africa 40 (December 2018): 101–18. http://dx.doi.org/10.4028/www.scientific.net/jera.40.101.

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Due to the rapid increase in electricity consumption, there is a tendency to install distributed generations (DGs) at the level of distribution systems. Therefore, the distribution systems become active, and special load flow methods have to be developed and applied due to its radial structure and the relatively high ratio of resistance to reactance components. This paper presents a new forward algorithm for balanced three-phase load-flow analysis of radial distribution networks (RDNs). Kirchhoff’s Current Law and Kirchhoff’s Voltage Law are utilized. However, a new arrangement of these equations is presented based on formation of virtual slack buses and subsystems truncated from the original network during iteration. The proposed algorithm firstly applied on three IEEE benchmark RDNs with different cases such as different load models, various loading levels to illustrate the convergence even high loading, and inserted DGs,; then it is applied on a real system in Egypt. Its high convergence rate is tested for the DG optimization problem. Further, the virtual subsystems can be utilized to recognize quickly the effect of load changes on the bus voltage profile. The results show that the proposed algorithm is more accurate, not sensitive to initial value, simple equations are used, and robust with high convergence rate because of employing the updated bus voltages immediately after determining their value.

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Beza, Teketay Mulu, Yen-Chih Huang, and Cheng-Chien Kuo. "A Hybrid Optimization Approach for Power Loss Reduction and DG Penetration Level Increment in Electrical Distribution Network." Energies 13, no. 22 (November 17, 2020): 6008. http://dx.doi.org/10.3390/en13226008.

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The electrical distribution system has experienced a number of important changes due to the integration of distributed and renewable energy resources. Optimal integration of distributed generators (DGs) and distribution network reconfiguration (DNR) of the radial network have significant impacts on the power system. The main aim of this study is to optimize the power loss reduction and DG penetration level increment while keeping the voltage profile improvements with in the permissible limit. To do so, a hybrid of analytical approach and particle swarm optimization (PSO) are proposed. The proposed approach was tested on 33-bus and 69-bus distribution networks, and significant improvements in power loss reduction, DG penetration increment, and voltage profile were achieved. Compared with the base case scenario, power loss was reduced by 89.76% and the DG penetration level was increased by 81.59% in the 69-bus test system. Similarly, a power loss reduction of 82.13% and DG penetration level increment of 80.55% was attained for the 33-bus test system. The simulation results obtained are compared with other methods published in the literature.

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Muthulakshmi, K., R. M. Sasiraja, and V. Suresh Kumar. "The Proper Location and Sizing of Multiple Distributed Generators for Maximizing Voltage Stability Using PSO." Journal of Circuits, Systems and Computers 26, no. 04 (December 6, 2016): 1750057. http://dx.doi.org/10.1142/s0218126617500578.

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Energy technologies and their efficient use plays a vital role in socio-economic development of any country. In the recent years, the restructuring of electricity market evolves some major improvements in the technologies of energy production and thus, it has paved the way for increasing the applications of Distributed Generation (DG) with renewable energy sources. In this research, the optimal placement and sizing of multiple DGs are achieved by a novel indicator United Bus and Line Voltage Firmness Factor (UBL_VFF). The objectives of this work are the minimization of system losses and maximization of voltage stability and they are achieved by identifying the weakest voltage bus due to the weakest link in the system. Particle Swarm Optimization (PSO) is used for solving this optimization problem. The effectiveness of this proposed approach is tested in 33 and 69 bus radial distribution test systems. The results of this proposed method is compared with the results reported in the contemporary literature. The results have proved to be robust in terms of reduction in system losses and maximization of bus and line voltage stability.

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Deng, Yiling, and Yadan Yan. "Evaluating Route and Frequency Design of Bus Lines Based on Data Envelopment Analysis with Network Epsilon-Based Measures." Journal of Advanced Transportation 2019 (May 26, 2019): 1–12. http://dx.doi.org/10.1155/2019/5024253.

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Increasing the efficiency of bus transit remains to be a challenge of urban transportation. Since the optimization of bus routes and their frequencies is significant for transit efficiency, this study aims to develop two data envelopment analysis (DEA) models using network epsilon-based measures (NEBMs). The first NEBM model adopts twelve indicators to evaluate the rationality of the route network design; the second NEBM model uses nine indicators to evaluate the efficiency of the frequency setting. Both NEBM models can simultaneously consider radial and nonradial inputs and outputs and dig into details of the “input/output transformation box.” Finally, the bus transit system of Nanjing in China is used as a case study. Results show that the overall efficiency of network route design is higher than that of frequency setting. According to comparisons between descriptive statistics of the top and bottom performers, inefficiency causes of bottom performers are identified and corresponding improvement measures are suggested. The proposed models are helpful for the development of bus transit systems and can be applied on a yearly/monthly basis.

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Hota, Ambika Prasad, and Sivkumar Mishra. "Loss allocation in distribution networks with distributed generators undergoing network reconfiguration." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 4 (August 1, 2020): 3375. http://dx.doi.org/10.11591/ijece.v10i4.pp3375-3383.

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In this paper, a branch exchange based heuristic network reconfiguration method is proposed for obtaining an optimal network in a deregulated power system. A unique bus identification scheme is employed which makes the load flow and loss calculation faster due to its reduced search time under varying network topological environment. The proposed power loss allocation technique eliminates the effect of cross-term analytically from the loss formulation without any assumptions and approximations. The effectiveness of the proposed reconfiguration and loss allocation methods are investigated by comparing the results obtained by the present approach with that of the existing “Quadratic method” using a 33-bus radial distribution system with/without DGs.

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M, Ramesh Babu, C. Venkatesh Kumar, and R. Sreekanth. "Optimal volt/var control of distribution system using MOPSO." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 3 (December 1, 2019): 1088. http://dx.doi.org/10.11591/ijeecs.v16.i3.pp1088-1095.

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This paper presents a novel method for solving multi-objective Volt/Var control of radial distribution system. The Volt/Var control is formulated as a multi-objective optimization problem which consists of the following objectives: minimization of real power loss, minimization of total voltage deviation and minimization of number of OLTC’s and capacitor operation and voltage fluctuations for a day-a-head in Distribution system.The Proposed MOPSO Algorithm is used to find the optimal settings of control variables such as On-Load tap changer (OLTC) and Shunt Capacitor. The proposed MOPSO algorithm is tested on a standard IEEE33-bus and 69-bus distribution system.

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Nguyen, Phuoc Tri, Thi Nguyen Anh, Dieu Vo Ngoc, and Tung Le Thanh. "A Cost-Benefit Analysis of Capacitor Allocation Problem in Radial Distribution Networks Using an Improved Stochastic Fractal Search Algorithm." Complexity 2020 (December 1, 2020): 1–32. http://dx.doi.org/10.1155/2020/8811674.

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This research proposes a modified metaheuristic optimization algorithm, named as improved stochastic fractal search (ISFS), which is formed based on the integration of the quasiopposition-based learning (QOBL) and chaotic local search (CLS) schemes into the original SFS algorithm for solving the optimal capacitor placement (OCP) in radial distribution networks (RDNs). The test problem involves the determination of the optimal number, location, and size of fixed and switched capacitors at different loading conditions so that the network total yearly cost is minimized with simultaneous fulfillment of operating constraints. Also, the hourly on/off scheduling plans of switched shunt capacitors (SCs) considering a modified cost objective function are obtained. The proposed ISFS algorithm has been tested on two IEEE 69-bus and 119-bus RDNs and a practical 152-bus RDN. For clarifying the effectiveness and validation of the ISFS, the simulated results have been compared with those of other previously utilized solution approaches in the literature as well as the original SFS. From result comparison, the proposed ISFS outperforms other previous approaches regarding solution quality and statistical performance for the compared cases, especially in the complex and large-scale networks. Notably, compared with the original SFS, the proposed ISFS shows a significantly better performance in all the tested cases.

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Rekha, E., D. Sattianadan, and M. Sudhakaran. "Maximum Loss Reduction and Voltage Profile Improvement with Placement of Hybrid Solar-Wind System." Advanced Materials Research 768 (September 2013): 371–77. http://dx.doi.org/10.4028/www.scientific.net/amr.768.371.

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Distributed generators (DG) are much beneficial in reducing the losses effectively compared to other methods of loss reduction. It is expected to become more important in future generation. This paper deals with the multi DGs placement in radial distribution system to reduce the system power loss and improve the voltage profile by using the optimization technique of particle swarm optimization (PSO). The PSO provides a population-based search procedure in which individuals called particles change their positions with time. Initially, the algorithm randomly generates the particle positions representing the size and location of DG. The proposed PSO algorithm is used to determine optimal sizes and locations of multi-DGs. The objective function is the combination of real, reactive power loss and voltage profile with consideration of weights and impact indices with and without DG. Test results indicate that PSO method can obtain better results on loss reduction and voltage profile improvement than the simple heuristic search method on the IEEE33-bus and IEEE 90-bus radial distribution systems.

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Alkhalaf, Salem, Tomonobu Senjyu, Ayat Ali Saleh, Ashraf M. Hemeida, and Al-Attar Ali Mohamed. "A MODA and MODE Comparison for Optimal Allocation of Distributed Generations with Different Load Levels." Sustainability 11, no. 19 (September 26, 2019): 5323. http://dx.doi.org/10.3390/su11195323.

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In this paper, the performance of different optimization techniques namely, multi-objective dragonfly algorithm (MODA) and multi-objective differential evolution (MODE) are presented and compared. The uncertainty effect of a wind turbine (WT) on the performance of the distribution system is taken into account. The point estimate method (PEM) is used to model the uncertainty in wind power. Optimization methods are applied to determine the multi-objective optimal allocation of distributed generation (DG) in radial distribution systems at a different load level (light, normal, heavy load level). The multi-objective function is expressed to minimize the total power loss, total operating cost, and improve the voltage stability index of the radial distribution system (RDS). Multi-objective proposed algorithms are used to generate the Pareto optimal solutions; and a fuzzy decision-making function is used to produce a hybrid function for obtaining the best compromise solution. The proposed algorithms are carried out on 33-bus and IEEE-69-bus power systems. The simulation results show the effectiveness of installing the proper size of DG at the suitable location based on different techniques.

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Simamora, Yoakim, Sigit Sukmajati, and Rio Afrianda. "OPTIMASI REKONFIGURASI JARINGAN DISTRIBUSI RADIAL UNTUK MEMINIMALKAN RUGI JARINGAN MENGGUNAKAN METODE SIMPLE BRANCH EXCHANGE." Energi & Kelistrikan 10, no. 2 (January 28, 2019): 102–11. http://dx.doi.org/10.33322/energi.v10i2.218.

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The increasing electric energy consumption must be balanced with good electricity network quality. To overcome this, we need a distribution network reconfiguration. Reconfiguration in power distribution network is done to improve power distribution network quality. Problem that exist in the radial distribution network is power losses. To minimize the power losses can be overcome by compensating capacitor. Done by determining the location of capacitors in distribution networks. With that the capacitor compensates the distribution network is more effective and efficient in distributing power. In this research discusses the network reconfiguration using simple branch exchange method to reduce power losses in radial distribution networks . Plant that used in this final project is IEEE 33 bus feeders. Simple branch exchange method is a kind of heuristic method . It works by selecting the order of the loop is done for distribution networks reconfiguration. Simulation results show that the use of a simple branch exchange method for reconfiguring network can reduce energy loss by 63,4677 kW. From the simulation results using the distribution system IEEE 33 bus feeders, showed that the decrease of energy losses from 202,6845 kW become 139,2168 kW.

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Journal articles on the topic 'Modèle du bus radial'

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