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Journal articles on the topic 'Distributed Generators (DGs)'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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1

P., S. D. Bhimaraju, V. S. Ramachandra Murthy K., and Ravindra K. "Effect of Penetration of Wind DGs on Transient Stability of Captive Power Generation Units." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 2653–58. https://doi.org/10.35940/ijeat.C5812.029320.

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This paper presents the analysis of transient stability for industrial generators and the effect of distributed generator units on transient stability has been studied. Here we considered IEEE 39 busses system having one utility bus and 9 captive generation units. It is observed that the voltages at all the buses, decreased when Wind Power DGs are connected. Voltages at all the buses in the system are reduced because of reactive power demand by Induction Generators. The total load of the system is 121.57 MW + j 56.6 MVAr. Critical Clearing Times (CCTs) are obtained without introducing any DG a
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2

Lê, Phúc Duy, Dương Minh Bùi, Minh Ngọc Đoàn, and Phương Thanh Nguyễn. "An improved fault analysis method based on bus-voltage thresholds determination for distribution networks with distributed generators." Science & Technology Development Journal - Engineering and Technology 4, no. 2 (2021): first. http://dx.doi.org/10.32508/stdjet.v4i2.766.

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Integration of distributed generators (DGs) into a distribution network (DN) can impact on the reliability operation and stability of protection systems. Depending on DG types, their installed locations, and operation states, fault current values in the distribution network can be significantly changed such that protective devices can inaccurately operate. Traditional fault analysis methods have not considered the presence of distributed generators and their operation characteristics, bidirectional power flows and change in bus-voltage values in the DN. Therefore, improvement of fault current
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3

Shaik Rafiuddin, G. Ugender, V. Siddartha, P. Raviteja, and G. Sudheer Kumar. "Analysis of Loss Allocation in Radial Distribution Systems Incorporating Distributed Generation." International Journal of Scientific Research in Science and Technology 12, no. 1 (2025): 395–403. https://doi.org/10.32628/ijsrst2512139.

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This explores Distribution Loss Allocation for Radial Systems Including Distributed Generators (DGs), focusing on the application and comparison of four different loss allocation methods: Pro Rata, Marginal, Z-bus, and branch current decomposition method (BCDM). The primary objective is to calculate and allocate transmission losses among generators and consumers in a radial distribution network, particularly in the presence of DGs. The Pro Rata method, although simple, allocates losses proportionally but lacks precision in complex systems. The Marginal method improves allocation by considering
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4

Ramshanker, Abinands, Jacob Raglend Isaac, Belwin Edward Jeyeraj, Jose Swaminathan, and Ravi Kuppan. "Optimal DG Placement in Power Systems Using a Modified Flower Pollination Algorithm." Energies 15, no. 22 (2022): 8516. http://dx.doi.org/10.3390/en15228516.

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There is a huge requirement for power systems to reduce power losses. Adding distributed generators (DGs) is the most common approach to achieving lower power losses. However, several challenges arise, such as determining the ideal size as well as location of the utilized distributed generators. Most of the existing methods do not consider the variety of load types, the variety and size of the utilized DGs besides reducing the convergence time and enhancing the optimization results. The paper performed an optimization algorithm that integrated a golden search-based flower pollination algorithm
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5

Idrissi, Zineb El, Faissal El Mariami, Abdelaziz Belfqih, and Touria Haidi. "Impact of distributed power generation on protection coordination in distribution network." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 3 (2021): 1271–80. https://doi.org/10.11591/ijeecs.v23.i3.pp1271-1280.

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In the whole world and especially in Morocco, the electric power sector faces significant challenges and the demand for energy is increasing as fossil fuel sources are disappearing. Moreover, the high cost of construction of large production plants and the obligation to reduce greenhouse gas emissions are among the factors pushing the energy sector to integrate distributed generators DGs based on renewable energies into power grids. However, the integration of these generators increased the values of short-circuit currents in the network, which poses a real threat to the existing protection co
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6

Chen, Yanxia, Jing Li, Yu Wen, Moeed Sehnan, and Wanyu Xu. "A Hybrid Master–Slave Control Strategy for Multiple Distributed Generators in Microgrid." Energies 16, no. 2 (2023): 968. http://dx.doi.org/10.3390/en16020968.

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The problem of insufficient regulation ability in isolated microgrid operations in traditional master–slave control is targeted in this research. A hybrid master–slave control strategy is proposed to operate multiple distributed generators (DGs) in a microgrid with alleviated regulation characteristics. Firstly, a virtual synchronous generator control is adopted in the master DG to provide voltage and frequency support for the system; however, the lack of participation of the slave DG control in traditional PQ droop control in the system regulation makes a master DG susceptible to any load var
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7

Kumar, V., S. K. Sudabattula, and N. Dharavat. "Optimal integration of renewable distributed generators and electric vehicles in a radial distributed network." Journal of Physics: Conference Series 2327, no. 1 (2022): 012010. http://dx.doi.org/10.1088/1742-6596/2327/1/012010.

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Abstract With the rising interest in sustainable transportation efforts, the optimal integration of Electric Vehicles (EVs) in the transportation business has come into existence very drastically. However, because of the increased power consumption, their impact on the electric power market might result in more enormous losses in the active power, a reduced voltage profile, as well as reduced voltage stability limits. In Radial Distribution System (RDS), getting the reduced effect of EVs load is crucial. It is significantly important to build charging stations for EVs and Distributed Generator
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8

Radosavljević, Jordan, Miroljub Jevtić, and Dardan Klimenta. "Optimal Seasonal Voltage Control in Rural Distribution Networks with Distributed Generators." Journal of Electrical Engineering 61, no. 6 (2010): 321–31. http://dx.doi.org/10.2478/v10187-010-0051-2.

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Optimal Seasonal Voltage Control in Rural Distribution Networks with Distributed Generators This paper proposes a procedure for determining the optimal tap changer positions of off-voltage tap changing transformers in radial rural distribution networks in presence of distributed generators (DGs). The procedure is based on spatial network decomposition and as well as bringing down a branchy LV network to an equivalent line. Optimal voltage module values of PV nodes in the optimal seasonal control plan are determined by the application of a genetic algorithm. The proposed procedure is examined i
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9

Ijaz, Zohaib, Jobish John, Md Noor-A-Rahim, and Dirk Pesch. "Regression-Based Self-Triggered Control of Distributed Economic Dispatch over Lossy Communication Channels." Energies 17, no. 3 (2024): 658. http://dx.doi.org/10.3390/en17030658.

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An essential building block of today’s smart grids is the integration of various renewable power generators into the system. Renewable distributed generators (DGs) provide environment friendly energy at a low cost. In this work, a distributed economic dispatch (ED) system is considered for renewable DGs to address the scalability challenge and reduce single points of failure compared to a centralised ED system. A consensus control mechanism is devised to achieve the incremental cost (IC) consensus among the DGs and utilise a self-triggered control (STC) mechanism to reduce the communication of
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10

Sudabattula, Suresh Kumar, Kowsalya Muniswamy, and Velamuri Suresh. "Simultaneous Allocation of Distributed Generators and Shunt Capacitors in a Distribution System." ECTI Transactions on Electrical Engineering, Electronics, and Communications 17, no. 1 (2019): 35–50. http://dx.doi.org/10.37936/ecti-eec.2019171.215402.

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Performance of a distribution system is negatively affected with the usage of non linear loads and rapid growth in electricity demand. It is possible to improve the voltage profile and reduce the power loss in a distribution system, by integrating distributed generators (DGs) and shunt capacitors (SCs). Identifying the optimal location and capacity of DGs and SCsare the crucial factors affecting the DS performance. This paper aims to reduce the power losses in the DS and facilitates an improvement in voltage profile with optimal allocation of DGs and SCs. First, the vulnerable nodes for placem
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11

Chiandone, Massimiliano, Riccardo Campaner, Daniele Bosich, and Giorgio Sulligoi. "A Coordinated Voltage and Reactive Power Control Architecture for Large PV Power Plants." Energies 13, no. 10 (2020): 2441. http://dx.doi.org/10.3390/en13102441.

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The increasing presence of nonprogrammable renewable energy sources (RES) forces towards the development of new methods for voltage control. In the case of centralized generation, the hierarchical regulation or secondary voltage regulation (SVR) is guaranteed by coordinated voltage and reactive power controls in transmission systems. This type of regulation loses effectiveness when the generation becomes distributed and based on small and medium sized generators. To overcome this problem, it is important that also distributed generators, typically based on RES, participate in the voltage regul
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12

Pamuk, Nihat, and Umut Emre Uzun. "Optimal Allocation of Distributed Generations and Capacitor Banks in Distribution Systems Using Arithmetic Optimization Algorithm." Applied Sciences 14, no. 2 (2024): 831. http://dx.doi.org/10.3390/app14020831.

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In this paper, an optimization approach based on an arithmetic optimization algorithm (AOA) is proposed for specifying the optimal allocation of distribution generations/generators (DGs) and capacitor banks (CBs) in radial distribution systems. The AOA is a new population-based meta-heuristic algorithm that is essentially based on using basic arithmetic operators in mathematics. The proposed approach is employed to specify the optimum placement, capacity, and power factor of DGs and CBs to decrease the distribution systems’ total power loss and voltage deviation. To state the performance of th
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13

S.Jaber, Aqeel. "Maximum voltage gain index for distributed generators based on voltage power system profile." International Journal of Engineering & Technology 7, no. 4 (2019): 5612–17. http://dx.doi.org/10.14419/ijet.v7i4.23652.

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The challenges facing power systems have shown a growing tendency in the studies on distributed generation in the modernized world. One of the most important objectives of distributed generation systems is an improvement of the quality of power systems. Many indices have been proposed in the electrical power system literature. However, the previous criteria did not give a clear voltage advantage of the distributed generator’s location. In this paper, a new index is proposed to gauge the placement of distributed generators (DGs) in a power system. The new index depends on the maximum voltage
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14

Vatani, Mehrnoosh. "Transient Analysis of Switching the Distributed Generation Units in Distribution Networks." International Journal of Applied Power Engineering (IJAPE) 5, no. 3 (2016): 130. http://dx.doi.org/10.11591/ijape.v5.i3.pp130-136.

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<p>Adding distributed Generators (DGs) to the passive electrical networks causes major changes in the specifications of the network including voltage profile, short circuit level and transient stability. In this paper, the effect of DGs switching transient in network is considered. The DGs location are changed in different buses. Two types of DGs are used (i.e. wind and synchronous DGs). Switching transient signals are time variant. It has a continuous spectrum of frequency. Fast Fourier and Wavelet transform methods are used for transient analysis. The proposed method is applied to IEEE
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15

Idrissi, Zineb El, Faissal El Mariami, Abdelaziz Belfqih, and Touria Haidi. "Impact of distributed power generation on protection coordination in distribution network." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 3 (2021): 1271. http://dx.doi.org/10.11591/ijeecs.v23.i3.pp1271-1280.

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<p>In the whole world and especially in Morocco, the electric power sector faces significant challenges and the demand for energy is increasing as fossil fuel sources are disappearing. Moreover, the high cost of construction of large production plants and the obligation to reduce greenhouse gas emissions are among the factors pushing the energy sector to integrate distributed generators DGs based on renewable energies into power grids. However, the integration of these generators increased the values of short-circuit currents in the network, which poses a real threat to the existing prot
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16

Lê, Phúc Duy, Dương Minh Bùi, Minh Ngọc Đoàn, et al. "A FLISR approach for distribution networks integrated distributed generators." Science & Technology Development Journal - Engineering and Technology 3, no. 4 (2020): 542–57. http://dx.doi.org/10.32508/stdjet.v3i4.749.

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The penetration of distributed generators (DG ) into the distribution etworks (DN) greatly improves the reliability of electricity supply and reduces power loss. However, the operation of these DGs can also make the protection of distribution etwork more complex. This paper will examine the effects of two DG types on the protection of DN by analyzing the solution called Fault Location, Isolation and Service Restoration (FLISR). The FLISR approach considers DGs as auxiliary sources for the post-fault restoration plans in order to minimize the number of interrupted customers and unserved energy.
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17

Hashmi, Sharyar ul Hassan, Abasin Ulasyar, Haris Sheh Zad, Abraiz Khattak, and Kashif Imran. "Optimal Day-Ahead Scheduling for Campus Microgrid by using MILP Approach." Pakistan Journal of Engineering and Technology 4, no. 2 (2021): 21–27. http://dx.doi.org/10.51846/vol4iss2pp21-27.

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In this paper, energy management system (EMS) is proposed for institution which helps in reducing the operational cost with the help of using different distributed generators (DGs) and electric vehicles. For this purpose, a scenario is created in which university is connected with national grid having self-powered PV plant, electric vehicles and a diesel generator. Impact of various distributed generators and optimally scheduled energy storage system (ESS) are analyzed for the university campus which helps in reducing operational cost of energy by using campus load data. The proposed model con
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18

Fu, Han, Wenpei Li, Long Qiu, Yongheng Ai, and Zhixiong Liu. "A Communication Encryption-Based Distributed Cooperative Control for Distributed Generators in Microgrids under FDI Attacks." Energies 16, no. 23 (2023): 7754. http://dx.doi.org/10.3390/en16237754.

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To alleviate the hassle of false data injection (FDI) attacks on distributed generators (DGs) in microgrids, a communication encryption-based distributed cooperative control is proposed in this paper. Compared to the conventional distributed control strategies, the proposed control scheme is simpler with much less complex evaluation mechanism by upgrading the secondary control to a second-order control based on the finite-time control theory while combining an encryption strategy. The proposed algorithm provides constant injections to eliminate the impact of FDI attacks based on a robust commu
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19

Nalini, Telu*1 R. G. S. Rao2 V. S. Vakula 3. "ECONOMIC OPERATION OF RENEWABLE DGS IN DISTRIBUTED NETWORKS." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 10 (2017): 545–51. https://doi.org/10.5281/zenodo.1036450.

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The loads in distribution network are heterogeneous in nature and the fast growing electrical demand is due to manufacturing sector and domestic needs. The impact of load demand, affects the distribution network which leads to power interruptions and failures in the distribution system. To minimize theses problems, the decentralized generation by using distributed generators (DGs) is preferred. For optimal operation of distribution network, it is required to obtain optimal size and location of DGs. In this paper particle swarm optimization technique is implemented by considering economical and
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20

Zhou, Ziqiang, Fei Tang, Dichen Liu, Chenxu Wang, and Xin Gao. "Probabilistic Assessment of Distribution Network with High Penetration of Distributed Generators." Sustainability 12, no. 5 (2020): 1709. http://dx.doi.org/10.3390/su12051709.

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Over the past decades, the deployment of distributed generations (DGs) in distribution systems has grown dramatically due to the concerns of environment and carbon emission. However, a large number of DGs have introduced more uncertainties and challenges into the operation of distribution networks. Due to the stochastic nature of renewable energy resources, probabilistic tools are needed to assist systems operators in analyzing operating states of systems. To address this issue, we develop a probabilistic framework for the assessment of systems. In the proposed framework, the uncertainties of
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21

Li, Zhong Wen, Chuan Zhi Zang, Peng Zeng, Hai Bin Yu, and He Peng Li. "The Controller Parameters Optimization for Droop Controlled Distributed Generators in Microgrid." Applied Mechanics and Materials 672-674 (October 2014): 1329–35. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.1329.

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Microgrids are attracting a great deal of attention as integrated renewable energy resource can benefit both the utility and the customers. The droop-control method is popular for the microgrid stable operation as it avoids circulating currents among the converters without using any critical communication between them. The distributed generators should have high speed to follow the reference given by the droop controller, otherwise the system will fluctuate and even black out. Renewable energy powered Distributed Generators (DGs) are mostly inverter-interfaced and controlled by PI controllers.
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22

Ayodele, T. R., A. S. O. Ogunjuyigbe, and O. O. Akinola. "Optimal Location, Sizing, and Appropriate Technology Selection of Distributed Generators for Minimizing Power Loss Using Genetic Algorithm." Journal of Renewable Energy 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/832917.

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Genetic algorithm (GA) is utilized to select most suitable Distributed Generator (DG) technology for optimal operation of power system as well as determine the optimal location and size of the DG to minimize power loss on the network. Three classes of DG technologies, synchronous generators, asynchronous generators, and induction generators, are considered and included as part of the variables for the optimization problem. IEEE 14-bus network is used to test the applicability of the algorithm. The result reveals that the developed algorithm is able to successfully select the most suitable DG t
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Ni, Ketut Aryani, Soeprijanto Adi, and Made Yulistya Negara I. "Economic Dispatch using Quantum Evolutionary Algorithm in Electrical Power System involving Distributed Generators." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 5 (2017): 2365–73. https://doi.org/10.11591/ijece.v7i5.pp2365-2373.

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Unpredictable increase in power demands will overload the supply subsystems and insufficiently powered systems will suffer from instabilities, in which voltages drop below acceptable levels. Additional power sources are needed to satisfy the demand. Small capacity distributed generators (DGs) serve for this purpose well. One advantage of DGs is that they can be installed close to loads, so as to minimise loses. Optimum placements and sizing of DGs are critical to increase system voltages and to reduce loses. This will finally increase the overall system efficiency. This work exploits Quantum E
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Battu, Neelakanteshwar Rao, and Surender Reddy Salkuti. "Optimal placement of DGs in a multi-feed radial distribution system using actor-critic learning algorithm." International Journal of Applied Power Engineering (IJAPE) 14, no. 2 (2025): 319. https://doi.org/10.11591/ijape.v14.i2.pp319-327.

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Multi-feed radial distribution systems are used to reduce the losses in the system using reconfiguration techniques. Reconfiguration can reduce the losses in the system only to a certain extent. Introduction of distributed generators has vastly improved the performance of distribution systems. Distributed generators can be used for reduction of loss, the improvement of the voltage profile, and reliability enhancement. Distribution generators play a vital role in reducing the losses in the distribution system. Placement of distributed generators in a multifeed system is a complex task to be sol
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Liu, Hongbo, Shencheng Liu, Xueyang Gai, Yongfa Liu, Yutong Yan, and Li Sun. "Optimal Allocation of Distributed Generators in Active Distribution Network considering TOU Price." International Journal of Antennas and Propagation 2023 (March 23, 2023): 1–16. http://dx.doi.org/10.1155/2023/7471214.

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As the distributed generators (DGs) are connected to active distribution network (ADN), it strengthens the communication interest between the customs and DGs and can facilitate energy integration. This article proposes hybrid pricing for DG configuration by taking advantage of fixed pricing and dynamic pricing. The time sequence scenario of wind-photovoltaic-load power can be got by k-means, which can balance the calculation burden with multiple scenarios. The planning model is built as the optimal objective for minimal investment in operation and maintenance of DGs, reduction of network loss,
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Rosales, Antonio, Pedro Ponce, Hiram Ponce, and Arturo Molina. "A Robust Control Scheme for Renewable-Based Distributed Generators Using Artificial Hydrocarbon Networks." Energies 12, no. 10 (2019): 1896. http://dx.doi.org/10.3390/en12101896.

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Distributed generators (DGs) based on renewable energy systems such as wind turbines, solar panels, and storage systems, are key in transforming the current electric grid into a green and sustainable network. These DGs are called inverter-interfaced systems because they are integrated into the grid through power converters. However, inverter-interfaced systems lack inertia, deteriorating the stability of the grid as frequency and voltage oscillations emerge. Additionally, when DGs are connected to the grid, its robustness against unbalanced conditions must to be ensured. This paper presents a
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27

Boonnamol, Jenjira, and Thavatchai Tayjasanant. "Impacts of Distributed Generators on Voltage Sag Analysis." Advanced Materials Research 732-733 (August 2013): 877–81. http://dx.doi.org/10.4028/www.scientific.net/amr.732-733.877.

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This paper presents impacts of distributed generators (DGs) such as synchronous-based DG and inverter-based DG on voltage sag analysis in distribution systems. Voltage sag analysis is assessed through area of vulnerability (AOV), number of sags frequency (NSF) and voltage sag index (SARFI). Single line-to-ground and three-phase faults are investigated. Size and location of DG are carried out by using Particle Swarm Optimization algorithm (PSO) in order to minimize losses and number of sag frequency. Roy Billinton Test System (RBTS) Bus 2 is used for simulation cases. Results show that the dist
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Shahzad, Mohsin, Waseem Akram, Muhammad Arif, Uzair Khan, and Barkat Ullah. "Optimal Siting and Sizing of Distributed Generators by Strawberry Plant Propagation Algorithm." Energies 14, no. 6 (2021): 1744. http://dx.doi.org/10.3390/en14061744.

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Increasing the unplanned penetration of Distributed Generators (DGs) has spurred active and reactive power losses in the distribution system. This article suggests using a novel Strawberry Plant Propagation Algorithm (SPPA) for planning the placement of the DGs with the aim of reducing the network (active) power losses and improving the overall voltage profile. The proposed method (SPPA) has been tested on 33 and 69 node radial systems in MATLAB. A cost analysis was also performed and compared with other contemporary methods. The results for the considered variables show the significance of th
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Aryani, Ni Ketut, Adi Soeprijanto, I. Made Yulistya Negara, and Mat Syai’in. "Economic Dispatch Using Quantum Evolutionary Algorithm in Electrical Power System Involving Distributed Generators." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 5 (2017): 2365. http://dx.doi.org/10.11591/ijece.v7i5.pp2365-2373.

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Unpredictable increase in power demands will overload the supply subsystems and insufficiently powered systems will suffer from instabilities, in which voltages drop below acceptable levels. Additional power sources are needed to satisfy the demand. Small capacity distributed generators (DGs) serve for this purpose well. One advantage of DGs is that they can be installed close to loads, so as to minimise loses. Optimum placements and sizing of DGs are critical to increase system voltages and to reduce loses. This will finally increase the overall system efficiency. This work exploits Quantum E
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30

Harasis, Salman. "Development of a Droop Control Strategy for Flexible Operation of Distributed Generators." Jordan Journal of Electrical Engineering 8, no. 2 (2022): 179. http://dx.doi.org/10.5455/jjee.204-1643827749.

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Droop control is one of the control strategies utilized to establish a simple, effective, and a communication-less power sharing between several distributed generators (DGs) in power systems and microgrid networks. In this paper, the control of an inverter-based system operating with the proposed droop control is developed and analyzed. The proposed droop control with its adjustable nonlinearity level aims to flexibly control the DGs in order to fulfill multiple objectives that aim to stabilize the operation of the sources and optimize the power sharing. These objectives can be achieved, simul
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Zhao, Zhongwei, Xiangyu Zhang, and Cheng Zhong. "Model Predictive Secondary Frequency Control for Islanded Microgrid under Wind and Solar Stochastics." Electronics 12, no. 18 (2023): 3972. http://dx.doi.org/10.3390/electronics12183972.

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As microgrids are the main carriers of renewable energy sources (RESs), research on them has been receiving more attention. When considering the increase in the penetration of renewable energy sources/distributed generators (DGs) in microgrids, their low inertia and high stochastic power disturbance pose more challenges for frequency control. To address these challenges, this paper proposes a model predictive control (MPC) secondary control that incorporates an unknown input observer and where RESs/DGs use a deloading virtual synchronous generator (VSG) control to improve the system’s inertia.
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Li, Cheng Xi, Wen Jun Yan, and Qiang Yang. "Power Factor Optimization of Distributed Generations in Distribution Networks Based on Improved Particle Swarm Optimization Method." Advanced Materials Research 516-517 (May 2012): 1408–13. http://dx.doi.org/10.4028/www.scientific.net/amr.516-517.1408.

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The gradually extensive penetration of small-scale distributed renewable generators in existing medium-voltage power distribution networks highlights many technical challenges which call for urgent solutions from power utilities. This paper attempts to optimize the power factor of distributed generators (DGs) integrated in distribution networks and presents a novel algorithmic solution. With the aim of minimizing power loss whilst maintaining the node voltage, the problem is formulated with a mathematical model elaborating the DGs and a set of constraints in distribution networks and addressed
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Das, Madhab Chandra, Pritam Patel, Sarat Chandra Swain, and Binay Kumar Nayak. "New Energy Management System for RES-based Microgrid Operations using SGO." WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS 23 (September 27, 2024): 114–21. http://dx.doi.org/10.37394/23201.2024.23.11.

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Due to advantages such as abundant energy sources, environmentally friendly perspectives, and straightforward power extraction, there has been increasing research on integrated microgrids incorporating photovoltaic (PV), wind, and biogas systems. Efficient utilization of renewable energy sources (RES), backup distributed generators (DGs), and storage devices within the microgrid is essential to meet power demands. Consequently, Energy Management Systems (EMS) have been introduced to microgrids, focusing on monitoring various energy resources and regulating energy consumption at specific locati
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Ouyang, Jinxin, Yujie Chen, Yanbo Diao, and Fei Huang. "Modeling and Recognition of Latent False Data Injection Attacks on Distributed Cluster Control of Distribution Network." Electronics 14, no. 9 (2025): 1761. https://doi.org/10.3390/electronics14091761.

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The cyber–physical deep integration in distribution networks containing distributed generators (DGs) enables false data injection attacks (FDIAs) through data tampering in monitoring systems, posing cross-domain threats to power system security. Effective FDIA identification methods remain unavailable for distribution networks containing DGs under distributed cluster control. The cyber–physical interaction characteristics are systematically analyzed in the cyber–physical system (CPS) of distribution networks containing DGs under distributed cluster control. A latent FDIA model is established w
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Grisales-Noreña, Luis Fernando, Bonie Johana Restrepo-Cuestas, Brandon Cortés-Caicedo, Jhon Montano, Andrés Alfonso Rosales-Muñoz, and Marco Rivera. "Optimal Location and Sizing of Distributed Generators and Energy Storage Systems in Microgrids: A Review." Energies 16, no. 1 (2022): 106. http://dx.doi.org/10.3390/en16010106.

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This article reviews the main methodologies employed for the optimal location, sizing, and operation of Distributed Generators (DGs) and Energy Storage Systems (ESSs) in electrical networks. For such purpose, we first analyzed the devices that comprise a microgrid (MG) in an environment with Distributed Energy Resources (DERs) and their modes of operation. Following that, we examined the planning and operation of each DER considered in this study (DGs and ESSs). Finally, we addressed the joint integration of DGs and ESSs into MGs. From this literature review, we were able to identify both the
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B, Vivekanadam. "Ideal Time-Based Voltage Control using Evolutionary Algorithm in Distributed Generator Centered Networks." December 2020 2, no. 4 (2021): 233–38. http://dx.doi.org/10.36548/jei.2020.4.006.

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The distributed generators (DGs) consists of radial rural distribution networks that makes use of off-voltage tap changing transformers. Ideal tap changer positions for these transformers can be determined using the novel estimation technique proposed in this paper. A branchy low-voltage network is brought down to its equivalent line along with the utilization of spatial network decomposition in this technique. Evolutionary algorithm is used for determining the PV nodes ideal voltage module values in ideal seasonal control plan. A PQ node with 3 DGs incorporated in a radial 40-node network and
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37

Khonturaev, Ikrom, Mansur Khasanov, Muhiddin Anarbaev, Abror Kurbanov, Anvar Suyarov, and Urinboy Jalilov. "Atom Search Optimization Algorithm for Allocating Distributed Generators in Radial Distribution Systems." E3S Web of Conferences 264 (2021): 04084. http://dx.doi.org/10.1051/e3sconf/202126404084.

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In recent years the use of renewable energy sources (RES) by many power grid companies worldwide has increased significantly. The trend towards RES use is mainly due to environmental issues and rising fuel prices associated with conventional electricity generation. This paper introduces a hybrid approach to find the optimal location and size of distributed generations (DG) in the radial distribution system (RDS). The proposed approach is based on the atom search optimization (ASO) technique to calculate the optimal allocation of DGs and power loss sensitivity (PLS) index to obtain the best bus
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38

Nguyen, Tri Phuoc, Vo Ngoc Dieu, and Pandian Vasant. "Symbiotic Organism Search Algorithm for Optimal Size and Siting of Distributed Generators in Distribution Systems." International Journal of Energy Optimization and Engineering 6, no. 3 (2017): 1–28. http://dx.doi.org/10.4018/ijeoe.2017070101.

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This paper presents a new approach for solving optimal placement of distributed generation (OPDG) problem in distribution systems for minimizing active power loss. In this research, the loss sensitivity factor is used to identify the optimal locations for installation of DGs and symbiotic organisms search (SOS) is used to find the optimal size of DGs. The proposed SOS approach is defined as symbiotic relationships observed between two organisms in the ecosystem, which does not need control parameters like other meta-heuristic algorithms. The OPDG problem is considered with two different scenar
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Zhou, Yang, Yang, Yang, Littler, and Li. "Probabilistic Load Flow Algorithm of Distribution Networks with Distributed Generators and Electric Vehicles Integration." Energies 12, no. 22 (2019): 4234. http://dx.doi.org/10.3390/en12224234.

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Probabilistic Load Flow (PLF) calculations are important tools for analysis of the steady-state operation of electrical energy networks, especially for electrical energy distribution networks with large-scale distributed generators (DGs) and electric vehicle (EV) integration. Traditional PLF has used the Cumulant Method (CM) and Latin Hypercube Sampling (LHS) method. However, traditional CM requires that each input variable be independent of one another, and the Cholesky decomposition adopted by the traditional LHS has limitations in that it is only applicable for positive definite matrices. T
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Feng, Changsen, Fushuan Wen, Lijun Zhang, Chenbo Xu, Md Abdus Salam, and Shi You. "Decentralized Energy Management of Networked Microgrid Based on Alternating-Direction Multiplier Method." Energies 11, no. 10 (2018): 2555. http://dx.doi.org/10.3390/en11102555.

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With the ever-intensive utilization of distributed generators (DGs) and smart devices, distribution networks are evolving from a hierarchal structure to a distributed structure, which imposes significant challenges to network operators in system dispatch. A distributed energy-management method for a networked microgrid (NM) is proposed to coordinate a large number of DGs for maintaining secure and economic operations in the electricity-market environment. A second-order conic programming model is used to formulate the energy-management problem of an NM. Network decomposition was first carried
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Wanjekeche, Tom, Andreas A. Ndapuka, and Lupembe Nicksen Mukena. "Strategic Sizing and Placement of Distributed Generation in Radial Distributed Networks Using Multiobjective PSO." Journal of Energy 2023 (October 4, 2023): 1–14. http://dx.doi.org/10.1155/2023/6678491.

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Distributed generators (DGs) offer significant advantages to electric power systems, including improved system losses, stability, and reduced losses. However, realizing these benefits necessitates optimal DG site selection and sizing. This study proposes a traditional multiobjective particle swarm optimization (PSO) approach to determine the optimal location and size of renewable energy-based DGs (wind and solar) on the Namibian distribution system. The aim is to enhance voltage profiles and minimize power losses and total DG cost. Probabilistic models are employed to account for the random na
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42

Jamian, Jasrul Jamani, M. W. Mustafa, and Mohd Noor Abdullah. "Investigating the Impact of Distributed Generators Power Factor to Simultaneous Optimization Analysis." Applied Mechanics and Materials 785 (August 2015): 253–57. http://dx.doi.org/10.4028/www.scientific.net/amm.785.253.

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This paper discusses the optimal Distributed Generator (DG) coordination using the Particle Swarm Optimization (PSO) technique where the DG output and location are determined simultaneously. Furthermore, this study analyzes both single DG and multiple DGs configurations. The influence of DG Power Factor (PF) to the optimal DG placement and the DG output are investigated by varying the DG PF values. Specifically, the PF were configured to five values, which are 0.8, 0.85, 0.9, 0.95 and 1.0. From the results, the optimal DG placements are similar, regardless of the PF condition. For example, in
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43

Umar, Umar, Faanzir Faanzir, Iswan Iswan, et al. "Single-phase distributed generations for power balanced using adaptive real coded genetic algorithm." International Journal of Applied Power Engineering (IJAPE) 13, no. 1 (2023): 11–19. https://doi.org/10.11591/ijape.v13.i1.pp11-19.

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Easy access to distributed generation (DG) technology is promoting the utilization of single-phase DGs for residential purposes. Surplus energy generated by household DGs can be shared or sold to other communities through existing networks. However, the interconnection of single-phase DGs from residential generators to the distribution network requires careful handling to secure the reliability and quality of the electric power system. This paper focuses on the optimal placement of single-phase multi-type DGs on unbalanced distribution systems that are connected to nonlinear loads. The objecti
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Elsherif, A., T. Fetouh, and H. Shaaban. "Power Quality Investigation of Distribution Networks Embedded Wind Turbines." Journal of Wind Energy 2016 (April 12, 2016): 1–17. http://dx.doi.org/10.1155/2016/7820825.

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In recent years a multitude of events have created a new environment for the electric power infrastructure. The presence of small-scale generation near load spots is becoming common especially with the advent of renewable energy sources such as wind power energy. This type of generation is known as distributed generation (DG). The expansion of the distributed generators- (DGs-) based wind energy raises constraints on the distribution networks operation and power quality issues: voltage sag, voltage swell, voltage interruption, harmonic contents, flickering, frequency deviation, unbalance, and
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Adeagbo, Ayooluwa Peter, Funso Kehinde Ariyo, Kehinde Adeleye Makinde, Sunday Adeleke Salimon, Oludamilare Bode Adewuyi, and Olusola Kunle Akinde. "Integration of Solar Photovoltaic Distributed Generators in Distribution Networks Based on Site’s Condition." Solar 2, no. 1 (2022): 52–63. http://dx.doi.org/10.3390/solar2010004.

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The significance of Distributed Generators (DGs) in the technical and economic operations of electric power distribution systems cannot be overemphasized in recent times. This is essential as a result of the incessant increase in electrical energy demand, which is becoming considerably difficult to meet with the conventional means of energy supply. Thus, DGs offer better alternatives for providing a quality supply of energy near the site of consumption. This type of energy supply is cleaner and cheaper most of the time due to the lessened transmission losses, which consequently reduced the cos
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Umar, Umar, Faanzir Faanzir, Iswan Iswan, et al. "Single-phase distributed generations for power balanced using adaptive real coded genetic algorithm." International Journal of Applied Power Engineering (IJAPE) 13, no. 1 (2024): 11. http://dx.doi.org/10.11591/ijape.v13.i1.pp11-19.

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Easy access to distributed generation (DG) technology is promoting the utilization of single-phase DGs for residential purposes. Surplus energy generated by household DGs can be shared or sold to other communities through existing networks. However, the interconnection of single-phase DGs from residential generators to the distribution network requires careful handling to secure the reliability and quality of the electric power system. This paper focuses on the optimal placement of single-phase multi-type DGs on unbalanced distribution systems that are connected to nonlinear loads. The objecti
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47

Ton, T. N., T. T. Nguyen, A. V. Truong, and T. P. Vu. "Optimal Location and Size of Distributed Generators in an Electric Distribution System based on a Novel Metaheuristic Algorithm." Engineering, Technology & Applied Science Research 10, no. 1 (2020): 5325–29. https://doi.org/10.48084/etasr.3372.

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This paper proposes a method for optimizing the location and size of Distributed Generators (DGs) based on the Coyote Algorithm (COA), in order to minimize the power loss in an Electric Distribution System (EDS). Compared to other algorithms, COA does not need control parameters during its execution. The effectiveness of COA was evaluated in an EDS with 33 nodes for two scenarios: the optimization of location and capacity of DGs in an initial radial configuration, and the best radial configuration for power loss reduction. Results were compared with other methods, showing that the proposed COA
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48

Ton, T. N., T. T. Nguyen, A. V. Truong, and T. P. Vu. "Optimal Location and Size of Distributed Generators in an Elecric Distribution System based on a Novel Metaheuristic Algorithm." Engineering, Technology & Applied Science Research 10, no. 1 (2020): 5325–29. https://doi.org/10.5281/zenodo.3659654.

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This paper proposes a method for optimizing the location and size of Distributed Generators (DGs) based on the Coyote Algorithm (COA), in order to minimize the power loss in an Electric Distribution System (EDS). Compared to other algorithms, COA does not need control parameters during its execution. The effectiveness of COA was evaluated in an EDS with 33 nodes for two scenarios: the optimization of location and capacity of DGs in an initial radial configuration, and the best radial configuration for power loss reduction. Results were compared with other methods, showing that the proposed COA
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49

Markana, Anilkumar, Gargi Trivedi, and Praghnesh Bhatt. "Multi-objective optimization based optimal sizing & placement of multiple distributed generators for distribution network performance improvement." RAIRO - Operations Research 55, no. 2 (2021): 899–919. http://dx.doi.org/10.1051/ro/2021045.

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Integration of Distributed Generations (DGs) into radial distribution network (RDN) is an emerging need to explore the benefits of renewable energy sources (RES). Increasing penetration of RES based DGs in RDN without proper planning leads to several operational problems such as excessive energy losses, poor voltage quality and load balancing. Hence, in this work, multi-objective optimization (MOO) problem is formulated by carefully chosen three conflicting objectives such as power loss minimization, enhancement of load balancing index (LBI) and aggregate voltage deviation index (AVDI). Teachi
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Montoya, Oscar Danilo, Walter Gil-González, and Luis Fernando Grisales-Noreña. "Hybrid GA-SOCP Approach for Placement and Sizing of Distributed Generators in DC Networks." Applied Sciences 10, no. 23 (2020): 8616. http://dx.doi.org/10.3390/app10238616.

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This research addresses the problem of the optimal location and sizing distributed generators (DGs) in direct current (DC) distribution networks from the combinatorial optimization. It is proposed a master–slave optimization approach in order to solve the problems of placement and location of DGs, respectively. The master stage applies to the classical Chu & Beasley genetic algorithm (GA), while the slave stage resolves a second-order cone programming reformulation of the optimal power flow problem for DC grids. This master–slave approach generates a hybrid optimization approach, named GA-
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