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Journal articles on the topic 'Distributed generation placement'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Haghifam, M. R., H. Falaghi, and O. P. Malik. "Risk-based distributed generation placement." IET Generation, Transmission & Distribution 2, no. 2 (2008): 252. http://dx.doi.org/10.1049/iet-gtd:20070046.

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Kumar, Mahesh, Bhagwan Das, Mazhar Hussain Baloch, Perumal Nallagownden, Irraivan Elamvazuthi, and Abid Ali. "Optimal Placement and Sizing of Distributed Generators and Distributed-Static Compensator in Radial Distribution System." International Journal of Energy Optimization and Engineering 8, no. 1 (2019): 47–66. http://dx.doi.org/10.4018/ijeoe.2019010103.

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The electricity demand increment, fossil fuel depletion, and environmental degradation open the interest of power utilities to utilize the distributed generation (DG) and distributed-static compensator (DSTATCOM) in the distribution system. The optimal placement and sizing of these generations have positive benefits, whereas non-optimal placement and size may worsen the existing operational characteristics of the distribution system. Therefore, this article presents a new methodology for optimal placement and sizing of distributed generation and distributed-static compensator in a radial distr

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3

Chen, Xiaodao, and Shiyan Hu. "Distributed Generation Placement for Power Distribution Networks." Journal of Circuits, Systems and Computers 24, no. 01 (2014): 1550009. http://dx.doi.org/10.1142/s0218126615500097.

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Growing concerns on the energy crisis impose great challenges in development and deployment of the smart grid technologies into the existing electrical power system. A key enabling technology in smart grid is distributed generation, which refers to the technology that power generating sources are located in a highly distributed fashion and each customer is both a consumer and a producer for energy. An important optimization problem in distributed generation design is the insertion of distributed generators (DGs), which are often renewable resources exploiting e.g., photovoltaic, hydro, wind, o

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Bagas Sastra Negara, I. Made, Ngakan Putu Satriya Utama, and Cok Gede Indra Partha. "OPTIMASI PENEMPATAN DISTRIBUTED GENERATION PADA PENYULANG GOA LAWAH MENGGUNAKAN METODE PARTICLE SWARM OPTIMIZATION (PSO)." Jurnal SPEKTRUM 5, no. 2 (2018): 74. http://dx.doi.org/10.24843/spektrum.2018.v05.i02.p10.

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Distributed Generation (DG) is a small-scale power plant located close to the center of load. Goa Lawah feeder is a broadcast that is close to the potential of DG namely the Mini Hydro Power Plant on the Unda River in Klungkung Regency. In this research the optimization of Distributed Generation placement to Goa Lawah feeder. Optimization of Distributed Generation placement aims to reduce the value of loss of power that exist in the feeder Goa Lawah. The results of the research obtained at the point of bus 123 by Distributed Generation placement using Particle Swarm Optimization (PSO) method,

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Rekha and Channappa Byalihal Shankaralingappa. "Optimal allocation of solar and wind distributed generation using particle swarm optimization technique." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 1 (2023): 229–37. https://doi.org/10.11591/ijece.v13i1.pp229-237.

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Power demand in the current days is increasing more and more where the conventional power generation systems are failing to meet these power demands due to less availability of non-renewable resources. Hence, many of the researchers are working on the distributed generation (DG) by using renewable resources like wind and solar. The penetration towards wind, solar DG faced challenging situations during power generation due to uncertainty in the wind speed and solar radiation. Recent studies have predicted that the combination of both solar and wind can lead to better performance. However, the s

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KUMAR SAMALA, Rajesh, and Mercy ROSALINA KOTAPUTI. "Multi distributed generation placement using ant-lion optimization." European Journal of Electrical Engineering 19, no. 5-6 (2017): 253–67. http://dx.doi.org/10.3166/ejee.19.256-267.

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7

Naga Lakshmi, G. V., A. Jayalaxmi, and Venkataramana Veeramsetty. "Optimal placement of distributed generation using firefly algorithm." IOP Conference Series: Materials Science and Engineering 981 (December 5, 2020): 042060. http://dx.doi.org/10.1088/1757-899x/981/4/042060.

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Bidram, A., M. E. H. Golshan, and A. Davoudi. "Distributed generation placement considering first swing stability margin." Electronics Letters 48, no. 12 (2012): 724. http://dx.doi.org/10.1049/el.2012.0053.

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9

Pavani, N. Anjani, and K. Swarnasri. "Optimal Placement of Distributed Generation in Distribution Networks." HCTL Open International Journal of Technology Innovations and Research (IJTIR) 24, April 2017 (2017): 8–21. https://doi.org/10.5281/zenodo.571596.

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Due to the restructuring in electricity market and environmental concerns penetration level of DG unit has been increased rapidly. It is also playing a significant role in minimization of line losses of a power system network. So it is very important to define the size and location of distributed generation unit to be allocated in a power system network. On the other hand, due to radial distribution systems basic inherent features such as radial structure, a wide range of 𝑿/𝑹ratios, and a large number of nodes. The optimal sizing and sitting problem of a DG unit cannot be determined by the con

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Shah, Mohazzem Hossain, and Hasib Chowdhury Abdul. "Multi-objective optimal placement of distributed generations for dynamic loads." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 4 (2019): 2303–13. https://doi.org/10.11591/ijece.v9i4.pp2303-2313.

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Large amount of active power losses and low voltage profile are the two major issues concerning the integration of distributed generations with existing power system networks. High R/X ratio and long distance of radial network further aggravates the issues. Optimal placement of distributed generators can address these issues significantly by alleviating active power losses and ameliorating voltage profile in a cost effective manner. In this research, multi-objective optimal placement problem is decomposed into minimization of total active power losses, maximization of bus voltage profile enhan

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Zulkiffli, Bin Abdul Hamid, Jipinus Sylvester, Musirin Ismail, Murtadha Othman Muhammad, and Hidayah Salimin Rahmatul. "Optimal sizing of distributed generation using firefly algorithm and loss sensitivity for voltage stability improvement." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 17, no. 2 (2020): 720–27. https://doi.org/10.11591/ijeecs.v17.i2.pp720-727.

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This paper proposes an optimization technique for distributed generation (DG) sizing in power system. The DG placement was done through Loss Sensitive (LS) technique to determine the suitable locations. The LS index is calculated such that the change in power losses is divided with generation increment and a rank of buses is obtained to identify the suitable locations for DG placement. Subsequently, a meta-heuristic algorithm, known as Firefly Algorithm (FA) was run to obtain the optimal size or capacity of the DG. The installation takes into consideration the aspect of voltage stability in te

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Uchendu, Moses. "Placement of Distributed Generation and Shunt Capacitor in Distribution Network using Cuckoo Search Algorithm." Nigerian Journal of Technological Development 17, no. 2 (2020): 79–87. http://dx.doi.org/10.4314/njtd.v17i2.2.

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This work aims at reduction in active and reactive power loss reduction in distribution networks as well as to improve the voltage stability of the networks. Optimum Distributed Generation (DG) placement and sizing is carried out in conjunction with shunt capacitor placement and sizing to determine the appropriate sizes of DG units and Capacitor banks to be placed in the networks so as not to violate certain constraints. The optimal sizes of the DG units and capacitor banks were obtained on application of a Cuckoo Search Optimization Algorithm while computations for Voltage stability was perfo

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13

Gkaidatzis, Paschalis, Aggelos Bouhouras, Kallisthenis Sgouras, Dimitrios Doukas, Georgios Christoforidis, and Dimitris Labridis. "Efficient RES Penetration under Optimal Distributed Generation Placement Approach." Energies 12, no. 7 (2019): 1250. http://dx.doi.org/10.3390/en12071250.

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In this paper, a novel version of the Optimal Distributed Generation Placement (ODGP) problem regarding the siting and sizing of Renewable Energy Sources (RESs) units is presented, called Optimal RES placement (ORESP). Power losses constitute the objective function to be minimized, subject to operational constraints. The simultaneous installation of a mix of RESs is considered and the Capacity Factor (CF) ratio is used as an aid for taking into account: (a) the geographical characteristics of the area, in which the examined Distribution Network (DN) is placed, (b) the different weather conditi

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Song, Young-Won, Kyebyung Lee, and Chang-Hyun Park. "Optimal Placement of Distributed Generation Units Considering Voltage Sags." Transactions of The Korean Institute of Electrical Engineers 62, no. 11 (2013): 1505–10. http://dx.doi.org/10.5370/kiee.2013.62.11.1505.

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15

Kalidas Babu, Gera, and P. V. Ramana rao. "Optimal placement of distributed generation using colliding bodies optimization." International Journal of Engineering & Technology 7, no. 3.3 (2018): 168. http://dx.doi.org/10.14419/ijet.v7i2.32.15589.

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The present paper foremost objective is to resolve best practicable location of solar photovoltaic distribution generation (DG) of several cases using different distribution load power factors and to analyze power loss reduction. This objective achieved by a recent developed method, the so called colliding bodies’ optimization algorithm, to perceive optimum location. Performances of colliding bodies’ optimization algorithm have been evaluated and compared with other search algorithms. The execution to test viability and efficiency, the proposed collid-ing bodies’ optimization is simulated on s

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Biswas, Soma, Swapan Kumar Goswami, and Amitava Chatterjee. "Optimum distributed generation placement with voltage sag effect minimization." Energy Conversion and Management 53, no. 1 (2012): 163–74. http://dx.doi.org/10.1016/j.enconman.2011.08.020.

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17

Bansal, Manoj Kumar, Pratibha Garg, Neha Gupta, and Mohini Agarwal. "Optimal Placement of Renewable Energy based Distributed Generation Units using MCDM Technique." International Journal of Mathematical, Engineering and Management Sciences 6, no. 4 (2021): 1199–213. http://dx.doi.org/10.33889/ijmems.2021.6.4.072.

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The distribution of electricity has become a challenge as there are losses associated with its distribution and transmission. In reducing such losses employment of Distributed Generation units in the transmission network can benefit greatly. Thus, the concern is on the optimal placement of Distributed Generation units that can provide maximum benefits and optimize several conflicting attributes. In this paper, the emphasis is laid on determining an optimal location for the placement of a Distributed Generation unit under conflicting attributes such as losses, real and reactive power, and volta

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18

Dorahaki, Sobhan. "Optimal DG Placement with the Aim of Profits Maximization." Indonesian Journal of Electrical Engineering and Computer Science 1, no. 2 (2016): 249. http://dx.doi.org/10.11591/ijeecs.v1.i2.pp249-254.

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<p>Using distributed generation power plants is common due to advantages such as system capacity release, voltage support and reduced energy losses in power networks. Prior to the creation of distributed generation plants (DG), economic calculation is needed in order to find the optimum location. In this study, IEEE 57 bus test system is evaluated using two index of LMP and CP. Then, the optimal location of distributed generation plants is studied in experimental network. Finally, the effects of DG correct location on buses LMP after DG installation is studied.</p>

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19

Ananwattanaporn, Santipont, Surakit Thongsuk, Praikanok Lertwanitrot, Suntiti Yoomak, and Issarachai Ngamroo. "Characteristics of Various Single Wind-Power Distributed Generation Placements for Voltage Drop Improvement in a 22 kV Distribution System." Sustainability 16, no. 10 (2024): 4295. http://dx.doi.org/10.3390/su16104295.

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A major challenge in distribution systems is the issue of voltage drop along the distribution line resulting from an increased load capacity connected to the utility. A significant voltage drop can affect the performance of a distribution system and cause quality issues for end users, impacting the system’s long-term sustainability and reliability. Therefore, regulations have been set stating that the voltage level should not be more that 5% higher or lower than the rated voltage. Thus, in this study, we aimed to evaluate the voltage level characteristics of a 22 kV distribution system that re

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20

Duraisamy, Kesavan, Sudhakiran Ponnuru, Jovin Deglus, Sakthidasan Arulprakasam, Rajakumar Palanisamy, and Raja Soosaimarian Peter. "Multi-objective hunter prey optimizer technique for distributed generation placement." International Journal of Applied Power Engineering (IJAPE) 14, no. 1 (2025): 146. https://doi.org/10.11591/ijape.v14.i1.pp146-154.

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Accommodation of distributed generation (DG) units in the distribution power network (DPN) reduces the power losses (PL), improves the voltage profile (VP), and enhances the stability. The size and site for distribution generations have to be optimized to avail favorable results. Otherwise, the DPN may experience greater power losses, higher voltage deviation, and voltage instability issues. This article implements an optimization technique using a hunter-prey optimizer (HPO) algorithm to optimize single and multiple (two) DG units in the radial DPN to minimize total real power losses (RPL) an

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21

Duraisamy, Kesavan, Sudhakiran Ponnuru, Jovin Deglus, Sakthidasan Arulprakasam, Rajakumar Palanisamy, and Raja Soosaimarian Peter. "Multi-objective hunter prey optimizer technique for distributed generation placement." International Journal of Applied Power Engineering (IJAPE) 14, no. 1 (2025): 146–54. https://doi.org/10.11591/ijape.v14.i1.pp146-154.

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Accommodation of distributed generation (DG) units in the distribution power network (DPN) reduces the power losses (PL), improves the voltage profile (VP), and enhances the stability. The size and site for distribution generations have to be optimized to avail favorable results. Otherwise, the DPN may experience greater power losses, higher voltage deviation, and voltage instability issues. This article implements an optimization technique using a hunter-prey optimizer (HPO) algorithm to optimize single and multiple (two) DG units in the radial DPN to minimize total real power losses (RPL) an

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22

Sarika, Daruru, Palepu Suresh Babu, Pasala Gopi, Manubolu Damodar Reddy, and Suresh Babu Potladurty. "Optimal distributed generator placement for loss reduction using fuzzy and adaptive grey wolf algorithm." International Journal of Applied Power Engineering (IJAPE) 14, no. 1 (2025): 155. https://doi.org/10.11591/ijape.v14.i1.pp155-162.

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This research provides a new methodology for locating distributed generation (DG) units in distribution electrical networks utilizing the fuzzy and adaptive grey wolf optimization algorithm (AGWOA) to decrease power losses and enhance the voltage profile. Everyday living relies heavily on electrical energy. The promotion of generating electrical power from renewable energy sources such as wind, tidal wave, and solar energy has arisen due to the significant value placed on all prospective energy sources capable of producing it. There has been substantial research on integrating distributed gene

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Sarika, Daruru, Palepu Suresh Babu, Pasala Gopi, Manubolu Damodar Reddy, and Suresh Babu Potladurty. "Optimal distributed generator placement for loss reduction using fuzzy and adaptive grey wolf algorithm." International Journal of Applied Power Engineering (IJAPE) 14, no. 1 (2025): 155–62. https://doi.org/10.11591/ijape.v14.i1.pp155-162.

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This research provides a new methodology for locating distributed generation (DG) units in distribution electrical networks utilizing the fuzzy and adaptive grey wolf optimization algorithm (AGWOA) to decrease power losses and enhance the voltage profile. Everyday living relies heavily on electrical energy. The promotion of generating electrical power from renewable energy sources such as wind, tidal wave, and solar energy has arisen due to the significant value placed on all prospective energy sources capable of producing it. There has been substantial research on integrating distributed gene

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24

Sodsri, Parichart, Bongkoj Sookananta, and Mongkol Pusayatanont. "Optimal Placement of Distributed Generation Using Bacterial Foraging Optimization Algorithm." Applied Mechanics and Materials 781 (August 2015): 329–32. http://dx.doi.org/10.4028/www.scientific.net/amm.781.329.

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This paper presents the determination of the optimal distributed generation (DG) placement using bacterial foraging optimization algorithm (BFOA). The BFO mimics the seeking-nutrient behavior of the E. coli bacteria. It is utilized here to find the location and size of the DG installation in radial distribution system in order to obtain minimum system losses. The operation constraints include bus voltage limits, distribution line thermal limits, system power balance and generation power limits. The algorithm is tested on the IEEE 33 bus system. The result shows that the algorithm could be used

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Alba, L. M., and M. A. Fernández. "Distributed generation resources placement in power systems considering electricity markets." Annals of Electrical and Electronic Engineering 2, no. 1 (2019): 6–11. http://dx.doi.org/10.21833/aeee.2019.01.002.

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Nageswari, D., N. Kalaiarasi, and G. Geethamahalakshmi. "Optimal Placement and Sizing of Distributed Generation Using Metaheuristic Algorithm." Computer Systems Science and Engineering 41, no. 2 (2022): 493–509. http://dx.doi.org/10.32604/csse.2022.020539.

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Anbuchandran, S., R. Rengaraj, A. Bhuvanesh, and M. Karuppasamypandiyan. "A Multi-objective Optimum Distributed Generation Placement Using Firefly Algorithm." Journal of Electrical Engineering & Technology 17, no. 2 (2021): 945–53. http://dx.doi.org/10.1007/s42835-021-00946-8.

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Kadiman, Sugiarto. "TECHNO-ECONOMIC ASSESMENT FOR DISTRIBUTED GENERATION PLACEMENT IN DISTRIBUTION SYSTEM." KURVATEK 4, no. 1 (2019): 1–6. http://dx.doi.org/10.33579/krvtk.v4i1.1132.

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This paper presents a proposed function which is known as techno-economic model for optimal placement of distributed generation (DG) resources in distribution systems in order to minimize the power losses and improve voltage profile. Combined sensitivity factors (CSF), such real power loss reduction index, reactive power loss reduction index, voltage profile improvement index, and life cycle cost, and particle swarm optimization (PSO) are applied to the proposed technique to obtain the best compromise between these costs. Simulation results on IEEE 14-bus test system are presented to demonstra

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Kyrylenko, O. V., L. M. Lukianenko, and I. S. Goncharenko. "STOCHASTIC APPROACH TO DETERMINATION OF THE DISTRIBUTED GENERATION OPTIMAL PLACEMENT." Tekhnichna Elektrodynamika 2017, no. 1 (2017): 62–70. http://dx.doi.org/10.15407/techned2017.01.062.

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Nguyen, Thuan Thanh, Ngoc Anh Nguyen, Thanh Long Duong, Thanh Quyen Ngo, and Thanhquy Bach. "Modified sunflower optimization for network reconfiguration and distributed generation placement." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 6 (2022): 5765. http://dx.doi.org/10.11591/ijece.v12i6.pp5765-5774.

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<span lang="EN-US">This paper proposed modified sunflower optimization (MSFO) for the combination of network reconfiguration and distributed generation placement problem (NR-DGP) to minimize power loss of the electric distribution system (EDS). Sunflower optimization (SFO) is inspired form the ideal of sunflower plant motion to get the sunlight and its reproduction. To enhance the performance of SFO, it is modified to MSFO wherein, the pollination and mortality techniques have been modified by using Levy distribution and mutation of the best solutions. The results are evaluated on two te

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31

Jiang, Zhipeng, Tiande Guo, and Wei Pei. "A New Placement Scheme of Distributed Generation in Power Grid." Energy and Power Engineering 05, no. 04 (2013): 740–45. http://dx.doi.org/10.4236/epe.2013.54b143.

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Uniyal, Ankit, and Ashwani Kumar. "Optimal Distributed Generation Placement with Multiple Objectives Considering Probabilistic Load." Procedia Computer Science 125 (2018): 382–88. http://dx.doi.org/10.1016/j.procs.2017.12.050.

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Nguyen, Thuan Thanh. "Enhanced sunflower optimization for placement distributed generation in distribution system." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 1 (2021): 107. http://dx.doi.org/10.11591/ijece.v11i1.pp107-113.

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Installation of distribution generation (DG) in the distribution system gains many technical benefits. To obtain more benefits, the location and size of DG must be selected with the appropriate values. This paper presents a method for optimizing location and size of DG in the distribution system based on enhanced sunflower optimization (ESFO) to minimize power loss of the system. In which, based on the operational mechanisms of the original sunflower optimization (SFO), a mutation technique is added for updating the best plant. The calculated results on the 33 nodes test system have shown that

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Hossain, Shah Mohazzem, and Abdul Hasib Chowdhury. "Optimal Placement of Distributed Generation to Enhance BusVoltage Qualitative Index." International Journal of Engineering and Technology 10, no. 6 (2018): 1778–86. http://dx.doi.org/10.21817/ijet/2018/v10i6/181006078.

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Nugroho, Agung, Ajub Ajulian ZM, and Bambang Winardi. "The Effect Of Distributed Generation (DG) Placement On Electricity Reliability." Engineering and Technology International Journal 5, no. 01 (2023): 62–70. http://dx.doi.org/10.55642/eatij.v5i01.288.

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The continuity of the supply of electric power is becoming a greater demand from consumers. Feeder MRA05 GI Mrica Banjarnegara supplies electrical energy for parts of Banjarnegara Regency until 2020 has 4 distributed generations, namely PLTMH Sigebang 500 KW, PLTMH Kincang 320 KW, PLTMH Adipasir 320 KW, PLTMH Rakit 500 KW. Based on recorded data in 2020, the MRA05 feeder experienced 15 blackouts/year, with a total outage duration of 38.68 hours/year, of course it was enough to disrupt the continuity of the distribution of electrical energy to consumers. This research discusses the magnitude of

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Öner, Ahmet, and Ali Abur. "Voltage stability based placement of distributed generation against extreme events." Electric Power Systems Research 189 (December 2020): 106713. http://dx.doi.org/10.1016/j.epsr.2020.106713.

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Thuan, Thanh Nguyen. "Enhanced sunflower optimization for placement distributed generation in distribution system." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 1 (2021): 107–13. https://doi.org/10.11591/ijece.v11i1.pp107-113.

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Installation of distribution generation (DG) in the distribution system gains many technical benefits. To obtain more benefits, the location and size of DG must be selected with the appropriate values. This paper presents a method for optimizing location and size of DG in the distribution system based on enhanced sunflower optimization (ESFO) to minimize power loss of the system. In which, based on the operational mechanisms of the original sunflower optimization (SFO), a mutation technique is added for updating the best plant. The calculated results on the 33 nodes test system have shown that

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38

Thuan, Thanh Nguyen, Anh Nguyen Ngoc, Long Duong Thanh, Quyen Ngo Thanh, and Bach Thanhquy. "Modified sunflower optimization for network reconfiguration and distributed generation placement." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 6 (2022): 5765–74. https://doi.org/10.11591/ijece.v12i6.pp5765-5774.

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This paper proposed modified sunflower optimization (MSFO) for the combination of network reconfiguration and distributed generation placement problem (NR-DGP) to minimize power loss of the electric distribution system (EDS). Sunflower optimization (SFO) is inspired form the ideal of sunflower plant motion to get the sunlight and its reproduction. To enhance the performance of SFO, it is modified to MSFO wherein, the pollination and mortality techniques have been modified by using Levy distribution and mutation of the best solutions. The results are evaluated on two test systems. The efficienc

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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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Kumar, Mahesh, Aneel Kumar, Amir Mahmood Soomro, Mazhar Baloch, Sohaib Tahir Chaudhary, and Muzamil Ahmed Shaikh. "A Comprehensive Review of Optimizing Multi-Energy Multi-Objective Distribution Systems with Electric Vehicle Charging Stations." World Electric Vehicle Journal 15, no. 11 (2024): 523. http://dx.doi.org/10.3390/wevj15110523.

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Electric vehicles worldwide provide numerous key advantages in the energy sector. They are advantageous over fossil fuel vehicles in many aspects: for example, they consume no fuel, are economical, and only require charging the internal batteries, which power the motor for propulsion. Thus, due to their numerous advantages, research is necessary to improve the technological aspects that can enhance electric vehicles’ overall performance and efficiency. However, electric vehicle charging stations are the key hindrance to their adoption. Charging stations will affect grid stability and may lead

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Chizindu, Stanley Esobinenwu. "OPTIMAL PLACEMENT OF DISTRIBUTED GENERATION (DG) UNITS IN POWER SYSTEM USING REPEATED LOAD FLOW ANALYSIS METHOD." International Journal of Engineering Science and Applied Mathematics 14, no. 9 (2023): 15–32. https://doi.org/10.5281/zenodo.8367108.

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In this paper, Repeated Load Flow Analysis method has been used to determine the optimal placement of Distributed Generation (DG) units in power system. A test network - 73-bus Port Harcourt 33 kV Power distribution system has been simulated in Electrical Transient Analyzer program (ETAP 12.6) software using Newton Raphson (N-R) load flow method. The optimal placement of the DGs is selected at the candidate load buses where voltage profile rises to acceptable limit through load flow repeated simulation. The result obtained identified the following buses:  16, 31, 37, 53, 57, 58, 59, 67, a

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Shakirov, V. A., V. G. Kurbatsky, N. V. Tomin, and G. B. Guliev. "Distributed placement of wind farms to minimize the impact of power fluctuations on the electric power system." Safety and Reliability of Power Industry 14, no. 1 (2021): 52–60. http://dx.doi.org/10.24223/1999-5555-2021-14-1-52-60.

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The problem of the influence of power fluctuations of wind farms due to the variability of the wind speed on the electric power system is considered. With high wind energy penetration, an increase in the operating reserve in electric power systems is required to cover possible sudden power fluctuations. One of the ways to reduce the stochastic nature of the wind farms power generation is their geographically distributed location. A method is proposed for the selection of capacity and distributed placement of wind farms, taking into account the factor of the variability of the total generated p

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Chege, S.N., D.K. Murage, and P.K. Kihato. "Optimal Placement of Distributed Generation and Capacitors in Radial Distribution Networks Using Hybrid Evolution Programming Algorithm." European Journal of Advances in Engineering and Technology 6, no. 1 (2019): 19–31. https://doi.org/10.5281/zenodo.10671905.

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<strong>ABSTRACT</strong> Distribution systems form a critical part of the power system by linking the consumer to the transmission system. They are extensive and complex and require adequate planning. One of the main challenges in distribution networks is voltage instability. Voltage instability can be mitigated by distributed generation and capacitor placement in distribution networks. The effectiveness of these components is greatly dependent on how optimal they are placed and sized within the distribution network. Due to complexity of distribution networks, planning becomes a complex task,

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Tarraq, Ali, Mariami Faissal El, and Abdelaziz Belfqih. "New typical power curves generation approach for accurate renewable distributed generation placement in the radial distribution system." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 5 (2023): 4909–18. https://doi.org/10.11591/ijece.v13i5.pp4909-4918.

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This paper investigates, for the first time, the accuracy of normalized power curves (NPCs), often used to incorporate uncertainties related to wind and solar power generation, when integrating renewable distributed generation (RDG), in the radial distribution system (RDS). In this regard, the present study proposes a comprehensive, simple, and more accurate model, for estimating the expected hourly solar and wind power generation, by adopting a purely probabilistic approach. Actually, in the case of solar RDG, the proposed model allows the calculation of the expected power, without going thro

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Su, Chun Lien. "Distributed Generation and Network Upgrades Placements for Distribution System Expansion Planning." Advanced Materials Research 433-440 (January 2012): 1740–44. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.1740.

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In contrast with the traditional distribution expansion planning approach, significant giants can be realized in terms of outage loss, supply quality, and load carrying capacity from the distribution expansion with a suitable size and siting of distributed generation (DG). However, in order to achieve these planning goals, it often requires network upgrades to accommodate the anticipated power flows in the distribution system with DG. To improve utilization and expansion of distribution system, this paper proposes a methodology to derive the optimal strategy of generation expansion and network

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Ivković, Sejo, Adnan Bosović, and Mustafa Musić. "Optimal Capacitor Placement in Real Distribution Network with Reactive Power Support of Distributed Generation." B&H Electrical Engineering 18, no. 1 (2024): 12–23. http://dx.doi.org/10.2478/bhee-2024-0002.

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Abstract This paper investigates the strategic placement of capacitor banks in the distribution network of Gračanica, with a specific focus on the medium-voltage feeder Grades. The primary objective is to optimize voltage profiles, minimize power losses, and enhance the overall performance of the distribution network. The significance of this research lies in its thorough examination of optimal capacitor placement within the medium-voltage (MV) branch of distribution networks, specifically considering the intricate interplay between capacitor banks and MV branch components, underlining the nec

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M. Suwi, Owdean, Jackson J. Justo, and Manyahi J. Mighanda. "Optimal Placement of Distributed Generation Units in Power Distribution Networks Using Particle Swarm Optimization." Tanzania Journal of Engineering and Technology 44, no. 2 (2025): 319–30. https://doi.org/10.52339/tjet.v44i2.1308.

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Power losses and voltage drops in distribution networks are critical issues in power system operation, reducing efficiency, reliability, and overall quality of the power supply to customers. Additionally, the rising electricity demand, deregulation of energy markets, and congestion in transmission networks have further contributed to the declining performance of the grid. To address these challenges, integrating distributed generation units (DGUs) into electric distribution systems has gained significant attention. Furthermore, the integration of DGUs into conventional fossil fuel-based power

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Vijay, R., and Muppalla Abhilash. "Elephant Herding Optimization for Optimum Allocation of Electrical Distributed Generation on Distributed Power Networks." Asian Journal of Electrical Sciences 7, no. 2 (2018): 70–76. http://dx.doi.org/10.51983/ajes-2018.7.2.2108.

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This paper deals with optimum allocation of distributed generation in the electrical distribution system. Due to rapidly increasing energy demand on the distribution network, the system is experiencing disturbances like equipment overloading, voltage sags and swell. In this paper the thermal and power loss constraints are considered for optimal operation. The optimal placement and sizing of distributed generation on electric distribution network by Elephant herding Optimization (EHO) technique. The conventional optimization technique fails due to its complexity while solving the nonlinear prob

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Arvind, Raj, Fadilah Ab Aziz Nur, Mat Yasin Zuhaila, and Ashida Salim Nur. "Investigation of distributed generation units placement and sizing based on voltage stability condition indicator (VSCI)." International Journal of Power Electronics and Drive System (IJPEDS) 10, no. 3 (2019): 1317–23. https://doi.org/10.11591/ijpeds.v10.i3.pp1317-1323.

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Voltage instability in power distribution systems can result in voltage collapse throughout the grid. Today, with the advanced of power generation technology from renewable sources, concerns of utility companies are much being focused on the stability of the grid when there is an integration of distributed generation (DG) in the system. This paper presents a study on DG units’ placement and sizing in a radial distribution network by using a predeveloped index called Voltage Stability Condition Index (VSCI). In this paper, VSCI is used to determine DG placement candidates, while the value

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M.S.Giridhar and Rani P.Sobha. "Multi-objective Pareto based Optimal Placement and Sizing of Solar PV and Wind Generation System." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 10, no. 1 (2020): 146–51. https://doi.org/10.35940/ijitee.A8141.1110120.

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Appropriate placement and sizing of distributed generation is required for reducing power loss and improvement in voltage profile of power system. Solar photovoltaic (PV) and wind energy are two prominent sources of distributed generation. In this paper, the authors propose a novel method to analyze the optimal placement and sizing of the solar PV and wind generation system in a radial distribution system..A multi objective function is selected for optimal siting and sizing. A 33-bus distribution system has been considered for testing the developed algorithm. Optimal location is obtained by pl

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