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Journal articles on the topic 'Optimal siting and sizing'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

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1

Cetinay, Hale, Fernando A. Kuipers, and A. Nezih Guven. "Optimal siting and sizing of wind farms." Renewable Energy 101 (February 2017): 51–58. http://dx.doi.org/10.1016/j.renene.2016.08.008.

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Lamedica, Regina, Alessandro Ruvio, Laura Palagi, and Nicola Mortelliti. "Optimal Siting and Sizing of Wayside Energy Storage Systems in a D.C. Railway Line." Energies 13, no. 23 (2020): 6271. http://dx.doi.org/10.3390/en13236271.

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The paper proposes an optimal siting and sizing methodology to design an energy storage system (ESS) for railway lines. The scope is to maximize the economic benefits. The problem of the optimal siting and sizing of an ESS is addressed and solved by a software developed by the authors using the particle swarm algorithm, whose objective function is based on the net present value (NPV). The railway line, using a standard working day timetable, has been simulated in order to estimate the power flow between the trains finding the siting and sizing of electrical substations and storage systems suit

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3

Sun, Tao, Linjun Zeng, Feng Zheng, Ping Zhang, Xinyao Xiang, and Yiqiang Chen. "Two-Layer Optimization Model for the Siting and Sizing of Energy Storage Systems in Distribution Networks." Processes 8, no. 5 (2020): 559. http://dx.doi.org/10.3390/pr8050559.

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One of the most important issues that must be taken into consideration during the planning of energy storage systems (ESSs) is improving distribution network economy, reliability, and stability. This paper presents a two-layer optimization model to determine the optimal siting and sizing of ESSs in the distribution network and their best compromise between the real power loss, voltage stability margin, and the application cost of ESSs. Thereinto, an improved bat algorithm based on non-dominated sorting (NSIBA), as an outer layer optimization model, is employed to obtain the Pareto optimal solu

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Wesley, Dansarki Nanly, Abubakar Abdulkarim, P. U. Okorie, et al. "A Review on Optimal Siting and Sizing of DSTATCOM." Journal of Applied Materials and Technology 3, no. 1 (2022): 30–42. http://dx.doi.org/10.31258/jamt.3.1.30-42.

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The continuous demand for electrical energy by industries and domestic users have stressed the electricity consumption to a high level. Because most components of domestic and industrial systems are made of power electronics devices in their designs. In addition, modern electrical power distribution networks (DNs) are subjected to major disturbances. Consequently, today’s power system is laden with power quality problems such as excessive energy losses, voltage deviations, poor power factor (PF), voltage instability and reliability issues to mentioned just a few. To forestall these disturbance

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Albers, H. J., L. Preonas, T. Capitán, E. J. Z. Robinson, and R. Madrigal-Ballestero. "Optimal Siting, Sizing, and Enforcement of Marine Protected Areas." Environmental and Resource Economics 77, no. 1 (2020): 229–69. http://dx.doi.org/10.1007/s10640-020-00472-7.

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6

Yan, Shuchang, Yu Zheng, and David John Hill. "Frequency Constrained Optimal Siting and Sizing of Energy Storage." IEEE Access 7 (2019): 91785–98. http://dx.doi.org/10.1109/access.2019.2927024.

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7

Alamelu, Somasundaram, S. Baskar, C. K. Babulal, and S. Jeyadevi. "Optimal siting and sizing of UPFC using evolutionary algorithms." International Journal of Electrical Power & Energy Systems 69 (July 2015): 222–31. http://dx.doi.org/10.1016/j.ijepes.2014.12.081.

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8

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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9

Leelawati, Sunda, Jitendra singh Bhadoriya Prof., Rahul Srivastav Prof., and H.K.Mishra Prof. "DIFFERENT OPTIMIZATION METHOD FOR SITTING AND SIZING OF DISTRIBUTED GENERATION IN ELECTRICAL NETWORK." International Journal of Advances in Engineering & Scientific Research 3, no. 3 (2016): 85–101. https://doi.org/10.5281/zenodo.10753600.

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<strong><em>Abstract:</em></strong> In distributed network losses are compare to transmission and generation system. Losses reduce the efficiency of system and making worst scenario for power system. Several methods are used to reduce the losses like incorporating fact devices, restructuring of power system etc. Distributed generation is now becoming popular for not only reducing the total burden on generator but also for decreasing the losses in power system. the main problems comes for siting & sizing for distribution generation so that it should be placed effectively , hence increase th

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10

A., Mahmoud Pesaran H., Abdullah Asuhaimi Bin Mohd Zin, Azhar Bin Khairuddin, and Omid Shariati. "Optimal Sizing and Siting of Distributed Generators by Exhaustive Search." Distributed Generation & Alternative Energy Journal 30, no. 3 (2015): 29–56. http://dx.doi.org/10.1080/21563306.2015.11461421.

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11

Fernandez-Blanco, Ricardo, Yury Dvorkin, Bolun Xu, Yishen Wang, and Daniel S. Kirschen. "Optimal Energy Storage Siting and Sizing: A WECC Case Study." IEEE Transactions on Sustainable Energy 8, no. 2 (2017): 733–43. http://dx.doi.org/10.1109/tste.2016.2616444.

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12

Ranjbari, Mohammad Hossein, Abolfazl Shaheri, Rezvaneh Dalili, and Rahman Soroush. "Optimal allocation of distributed generation using an analytical method with consideration of technical and economic parameters." Journal of Research in Science, Engineering and Technology 3, no. 01 (2019): 9–17. http://dx.doi.org/10.24200/jrset.vol3iss01pp9-17.

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In order to benefit maximally from positive features of Distributed Generation (DG) supplies, the finding of location (siting), and determination of optimal capacity of these supplies are inevitable in power distribution networks so that the researches indicate that if this important process is not considered in installation of DG supplies, not only the given positive goals and features are not fulfilled in installation of DG supplies, but also it is probably led to the worse status in installation of power supplies than the past as well. As a result, determination of optimal size and position

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13

Boonluk, Panyawoot, Apirat Siritaratiwat, Pradit Fuangfoo, and Sirote Khunkitti. "Optimal Siting and Sizing of Battery Energy Storage Systems for Distribution Network of Distribution System Operators." Batteries 6, no. 4 (2020): 56. http://dx.doi.org/10.3390/batteries6040056.

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In this work, optimal siting and sizing of a battery energy storage system (BESS) in a distribution network with renewable energy sources (RESs) of distribution network operators (DNO) are presented to reduce the effect of RES fluctuations for power generation reliability and quality. The optimal siting and sizing of the BESS are found by minimizing the costs caused by the voltage deviations, power losses, and peak demands in the distribution network for improving the performance of the distribution network. The simulation results of the BESS installation were evaluated in the IEEE 33-bus dist

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14

Hu, Changbin, Jufu Deng, Chao Liu, Shanna Luo, Xuecheng Li, and Heng Lu. "Achieving an Optimal Decision for the Joint Planning of Renewable Power Supply and Energy Storage for Offshore Oil–Gas Platforms." Applied Sciences 13, no. 15 (2023): 8833. http://dx.doi.org/10.3390/app13158833.

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To address the complexity of siting and sizing for the renewable energy and energy storage (ES) of offshore oil–gas platforms, as well as to enhance the utilization of renewable energy and to ensure the power-flow stability of offshore oil–gas platforms, this paper proposes a hierarchical clustering-and-planning method for wind turbine (WT)/photovoltaic (PV) ES. The proposed strategy consists of three stages. First, the WT/PV power generation is forecast by a LightGBM model. The WT/PV siting and sizing at each node of the distribution network is optimized with a particle swarm optimization (PS

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15

Ghimire, Santosh, and Seyed Morteza Alizadeh. "Developing a Decision Tree Algorithm for Wind Power Plants Siting and Sizing in Distribution Networks." Energies 14, no. 8 (2021): 2293. http://dx.doi.org/10.3390/en14082293.

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The interconnection of wind power plants (WPPs) with distribution networks has posed many challenges concerned with voltage stability at the point of common coupling (PCC). In a distribution network connected WPP, the short-circuit ratio (SCR) and impedance angle ratio seen at PCC (X/RPCC) are the most important parameters, which affect the PCC voltage (VPCC) stability. Hence, design engineers need to conduct the WPP siting and sizing assessment considering the SCR and X/RPCC seen at each potential PCC site to ensure that the voltage stability requirements defined by grid codes are provided. I

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16

Abuelnasr, Marwa, Walid El-Khattam, and Ibrahim Helal. "Investigation of the impact of Photovoltaic Sizing and Siting Modeling on Micro-grids Energy Management Optimization." MATEC Web of Conferences 171 (2018): 02004. http://dx.doi.org/10.1051/matecconf/201817102004.

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The modeling of micro-grid’s PV units’ and loads’ size and distribution along its network could severely affect the accuracy of power losses calculation and; thus the amount of energy to be imported from the main-grid to balance the load. Also, it will affect the micro-grid’s optimal energy management results. Therefore, a comprehensive analysis is carried out to assess the impact of the PV’s and the load’s sizing and sitting (either lumped or distributed). Four case studies are carried out to illustrate the impact of the modeling on the micro-grid’s losses and the imported energy from the mai

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17

Wang, Bo. "Research on solving the optimal sizing and siting of distributed generation." IOP Conference Series: Earth and Environmental Science 52 (January 2017): 012040. http://dx.doi.org/10.1088/1742-6596/52/1/012040.

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18

Zhang, Shenxi, Haozhong Cheng, Ke Li, Masoud Bazargan, and Liangzhong Yao. "Optimal siting and sizing of intermittent distributed generators in distribution system." IEEJ Transactions on Electrical and Electronic Engineering 10, no. 6 (2015): 628–35. http://dx.doi.org/10.1002/tee.22129.

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19

Reddy, S. Yogendra, Daka Seshi Reddy, and G. Kesava Rao. "Optimal Siting and Sizing of Solar Power Sources in Interconnection Grid System." International Journal of Applied Power Engineering (IJAPE) 5, no. 1 (2016): 1. http://dx.doi.org/10.11591/ijape.v5.i1.pp1-13.

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<span>Growing concerns electrical power demand in need and necessity of daily livelihood of life. Impacted over addition power demanded there is climate impacts, environmental conditions due to conventional power generation resulted in improvement of cheaper solar power generation in the whole distribution system network, and programs offered by governments have contributed to an increment in the number of distributed energy resources (DERs) system in commercial and domestic electrical power output. It is well known that fact the non-optimal size and non-optimal siting system may lead to

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20

Krstic, Nikola N., Dragan S. Tasic, Dardan O. Klimenta, and Milos J. Milovanovic. "Improving the Operation of a Distribution Network by Optimal Siting and Sizing of Photovoltaic-Battery Energy Storage Systems." Elektronika ir Elektrotechnika 30, no. 5 (2024): 70–82. https://doi.org/10.5755/j02.eie.38870.

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This paper proposes an updated two-step approach to improve the operation of a distribution network (DN) through the optimal siting and sizing of one, two, or three systems, each consisting of a photovoltaic (PV) generator and a battery energy storage (BES) unit – the so-called “PV-BES system”. The first step of the approach determines the optimal sites and optimal powers of the PV-BES systems, taking into account the DN load profile and the required improvement in DN operation. Parameters used to describe the quality of the DN operation include the average daily power losses and the voltage p

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21

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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22

Cheng, Xiao Yue, and Jin Ling Lu. "Optimal Siting and Sizing of Distributed Generation Planning in a Standalone Microgrid." Advanced Materials Research 960-961 (June 2014): 1048–53. http://dx.doi.org/10.4028/www.scientific.net/amr.960-961.1048.

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This paper introduces renewable energy to ensure offshore platforms as a stand-alone microgrid operate reliably economically in low-carbon environment, considering volatility of CO2 emission price. A probability distribution model and economic model containing investment cost and low-carbon effect is established respectively, using latin hypercube sampling (LHS), meanwhile, the stochastic power is adopted to judge whether the built planning model can meet power flow constraint, Monte Carlo method is used to simulate characteristics of distributed generation ( DG), a probabilistic power flow is

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23

Liu, Zhipeng, Fushuan Wen, and Gerard Ledwich. "Optimal Siting and Sizing of Distributed Generators in Distribution Systems Considering Uncertainties." IEEE Transactions on Power Delivery 26, no. 4 (2011): 2541–51. http://dx.doi.org/10.1109/tpwrd.2011.2165972.

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24

Kaur, Damanjeet. "Optimal DG Siting and Sizing in Distribution System using PSO-DE Approach." MATEC Web of Conferences 57 (2016): 02016. http://dx.doi.org/10.1051/matecconf/20165702016.

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25

Pesaran, Mahmoud, Abdullah Asuhaimi Mohd Zin, Azhar Khairuddin, and Omid Shariati. "Optimal Sizing and Siting of Distributed Generators by a Weighted Exhaustive Search." Electric Power Components and Systems 42, no. 11 (2014): 1131–42. http://dx.doi.org/10.1080/15325008.2014.921947.

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26

Henrique, Letícia F., Walquiria N. Silva, Caio C. A. Silva, Bruno H. Dias, Leonardo W. Oliveira, and Madson C. de Almeida. "Optimal siting and sizing of distributed energy resources in a Smart Campus." Electric Power Systems Research 217 (April 2023): 109095. http://dx.doi.org/10.1016/j.epsr.2022.109095.

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27

Kazemi, Mohammad Amin, Mostafa Sedighizadeh, Mohammad Javad Mirzaei, and Omid Homaee. "Optimal siting and sizing of distribution system operator owned EV parking lots." Applied Energy 179 (October 2016): 1176–84. http://dx.doi.org/10.1016/j.apenergy.2016.06.125.

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28

Boonluk, Panyawoot, Sirote Khunkitti, Pradit Fuangfoo, and Apirat Siritaratiwat. "Optimal Siting and Sizing of Battery Energy Storage: Case Study Seventh Feeder at Nakhon Phanom Substation in Thailand." Energies 14, no. 5 (2021): 1458. http://dx.doi.org/10.3390/en14051458.

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The optimal siting and sizing of battery energy storage system (BESS) is proposed in this study to improve the performance of the seventh feeder at Nakhon Phanom substation, which is a distribution network with the connected photovoltaic (PV) in Thailand. The considered objective function aims to improve the distribution network performance by minimizing costs incurred in the distribution network within a day, comprising of voltage regulation cost, real power loss cost, and peak demand cost. Particle swarm optimization (PSO) is applied to solve the optimization problem. It is found that the op

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29

Bawa, Abubakar, Muhammad Uthman, Farouq E. Shaibu, and Koledowo Saliu Oyewale. "Optimal Sizing and Sitting of Distributed Generation for Power Quality Improvement of Distribution Network." European Journal of Engineering Research and Science 4, no. 10 (2019): 18–23. http://dx.doi.org/10.24018/ejers.2019.4.10.1555.

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The Point of Common Coupling (PCC) where suppliers’ responsibility and customers demand meet is of great concern due to increase degree of voltage variation assessment; valuable indicator of system conditions (voltage profile). Unstable condition of the power system outside operational or statutory limit, an adverse effect of nonlinear loads usually generate harmonics as well as fundamental frequency voltage variations and increase rate of power losses. These loads need to be compensated for. The major concerns of utility operations is to mitigate adverse effect of this system conditions. This

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30

Bawa, Abubakar, Muhammad Uthman, Farouq E. Shaibu, and Koledowo Saliu Oyewale. "Optimal Sizing and Sitting of Distributed Generation for Power Quality Improvement of Distribution Network." European Journal of Engineering and Technology Research 4, no. 10 (2019): 18–23. http://dx.doi.org/10.24018/ejeng.2019.4.10.1555.

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The Point of Common Coupling (PCC) where suppliers’ responsibility and customers demand meet is of great concern due to increase degree of voltage variation assessment; valuable indicator of system conditions (voltage profile). Unstable condition of the power system outside operational or statutory limit, an adverse effect of nonlinear loads usually generate harmonics as well as fundamental frequency voltage variations and increase rate of power losses. These loads need to be compensated for. The major concerns of utility operations is to mitigate adverse effect of this system conditions. This

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31

Et. al., N. Karuppiah,. "Optimal siting and sizing of multiple type DGs for the performance enhancement of Distribution System using Differential Evolution Algorithm." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (2021): 1140–46. http://dx.doi.org/10.17762/turcomat.v12i2.1135.

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The necessity of Distributed Generation (DG) in the modern power system has increased greatly. Optimal placement and sizing of DGs have a significant impact on the objectives of voltage stability enhancement, real and reactive power loss minimization and power system security and reliability. Different types of DGs such as Type I, Type II, Type III and Type IVare placed. The optimal placement of these DGs is found using Voltage Stability Index (VSI). The optimal sizing of these DGs is done using Differential Evolution (DE) algorithm. MATLAB simulation is carried out in standard IEEE 33-bus tes

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32

Ahmadi, Dr Javad, and Dr Yingjie Zhao. "OPTIMIZING ELECTRIC VEHICLE CHARGING INFRASTRUCTURE: A MULTI-OBJECTIVE GENETIC ALGORITHM APPROACH FOR SITING AND SIZING." International Journal of Next-Generation Engineering and Technology 2, no. 03 (2025): 1–7. https://doi.org/10.55640/ijnget-v02i03-01.

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The rapid growth of electric vehicles (EVs) necessitates the strategic development of efficient charging infrastructure. This study proposes a multi-objective genetic algorithm (MOGA) approach for optimizing the siting and sizing of EV charging stations. The model incorporates multiple conflicting objectives, including cost minimization, user accessibility, grid stability, and environmental impact. By simulating various urban deployment scenarios, the algorithm identifies optimal solutions that balance these objectives, offering robust and scalable planning strategies. Results from case studie

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Shomefun, TS, A. Ademola, COA Awosope, and AI Adekitan. "Critical Review of Different Methods for Siting and Sizing Distributed-generators." TELKOMNIKA Telecommunication, Computing, Electronics and Control 16, no. 5 (2018): 2395–405. https://doi.org/10.12928/TELKOMNIKA.v16i5.9693.

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Due to several benefits attached to distributed generators such as reduction in line losses, improved voltage profile, reliable system etc., the study on how to optimally site and size distributed generators has been on the increase for more than two decades. This has propelled several researchers to explore various scientific and engineering powerful simulation tools, valid and reliable scientific methods like analytical, meta-heuristic and hybrid methods to optimally place and size distributed generator(s) for optimal benefits. This study gives a critical review of different methods used in

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Liu, Wei, Fengming Luo, Yuanhong Liu, and Wei Ding. "Optimal Siting and Sizing of Distributed Generation Based on Improved Nondominated Sorting Genetic Algorithm II." Processes 7, no. 12 (2019): 955. http://dx.doi.org/10.3390/pr7120955.

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With the development of distributed generation technology, the problem of distributed generation (DG) planning become one of the important subjects. This paper proposes an Improved non-dominated sorting genetic algorithm-II (INSGA-II) for solving the optimal siting and sizing of DG units. Firstly, the multi-objective optimization model is established by considering the energy-saving benefit, line loss, and voltage deviation values. In addition, relay protection constraints are introduced on the basis of node voltage, branch current, and capacity constraints. Secondly, the violation constrained

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35

Xing, Haijun, Hong Fan, Xin Sun, Shaoyun Hong, and Haozhong Cheng. "Optimal siting and sizing of distributed renewable energy in an active distribution network." CSEE Journal of Power and Energy Systems 4, no. 3 (2018): 380–87. http://dx.doi.org/10.17775/cseejpes.2016.00480.

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36

Azazy, Nancy Gamaleldin, Walid E. Helmy, and Hany Mohamed Hasanien. "Optimal Siting and Sizing of DGs on Distribution Networks Using Grey Wolf Algorithm." International Journal on Energy Conversion (IRECON) 9, no. 3 (2021): 113. http://dx.doi.org/10.15866/irecon.v9i3.20365.

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37

Gilasi, Yasin, Seyed Hamid Hosseini, and Hossein Ranjbar. "Resiliency-oriented optimal siting and sizing of distributed energy resources in distribution systems." Electric Power Systems Research 208 (July 2022): 107875. http://dx.doi.org/10.1016/j.epsr.2022.107875.

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Prakash, Prem, and Dheeraj K. Khatod. "Optimal sizing and siting techniques for distributed generation in distribution systems: A review." Renewable and Sustainable Energy Reviews 57 (May 2016): 111–30. http://dx.doi.org/10.1016/j.rser.2015.12.099.

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39

Wang, Chengshan, Guanyu Song, Peng Li, Haoran Ji, Jinli Zhao, and Jianzhong Wu. "Optimal siting and sizing of soft open points in active electrical distribution networks." Applied Energy 189 (March 2017): 301–9. http://dx.doi.org/10.1016/j.apenergy.2016.12.075.

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Novoa, Laura, Robert Flores, and Jack Brouwer. "Optimal renewable generation and battery storage sizing and siting considering local transformer limits." Applied Energy 256 (December 2019): 113926. http://dx.doi.org/10.1016/j.apenergy.2019.113926.

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41

Jin, Ding, Huayu Zhang, Bing Han, Gang Liu, Fei Xue, and Shaofeng Lu. "Optimal Siting and Sizing of Electric Vehicle Energy Supplement Infrastructure in Highway Networks." Inventions 8, no. 5 (2023): 117. http://dx.doi.org/10.3390/inventions8050117.

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The electric vehicle (EV) market is expanding rapidly to achieve the future goal of eco-friendly transportation. The scientific planning of energy supplement infrastructures (ESIs), with appropriate locations and capacity, is imperative to develop the EV industry. In this research, a mixed integer linear programming (MILP) model is proposed to optimize the location and capacity of ESIs, including vehicle charging stations (VCSs), battery swapping stations (BSSs), and battery charging stations (BCSs), in highway networks. The objective of this model is to minimize the total cost with the averag

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42

El-Ela, Adel Abo, Ragab El-Sehiemy, Sohir M. Allam, and Asmaa Adel Mubarak. "Optimal sizing and siting of single tunned passive filter based on jellyfish algorithm." Energy Technologies and Environment 2, no. 2 (2024): 37–48. http://dx.doi.org/10.58567/ete02020002.

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<p class="MsoNormal" style="margin-top: 10pt; text-align: justify;"><span lang="EN-US" style="font-family: 'times new roman', times, serif; font-size: 14pt;">The presence of electrical harmonics in low voltage networks causes many problems for customers, the most important of which is the decrease in the power quality beyond the permissible limits, which leads to a decrease in voltage for long periods, a decrease in power factor and a large losses in the electrical network due to the deformation of the electric waveform of voltage and current. The aim of this paper is to design an

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43

Buaklee, Wirote, and Komsan Hongesombut. "Optimal DG Allocation in a Smart Distribution Grid Using Cuckoo Search Algorithm." ECTI Transactions on Electrical Engineering, Electronics, and Communications 11, no. 2 (2013): 16–22. http://dx.doi.org/10.37936/ecti-eec.2013112.170637.

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In a smart distribution grid environment, the applications of Distributed Generation (DG) are widely employed. Using these applications can have both positive and negative impacts on the distribution system. The sizing and location of their installations are the issues that should be taken into consideration to gain the maximum benet. This paper presents a application of the Cuckoo Search (CS) for the optimal sizing and siting of DG in a smart distribution power system in order to minimize real power losses by maintaining the fault level and the voltage variation within the acceptable limit. T

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44

Ali, E. S., and S. M. Abd Elazim. "Optimal Sizing and Locations of Capacitors Using Slime Mould Algorithm." WSEAS TRANSACTIONS ON POWER SYSTEMS 17 (November 23, 2022): 382–90. http://dx.doi.org/10.37394/232016.2022.17.38.

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A new and powerful approach called Slime Mould Algorithm (SMA) is suggested in this paper, for optimal siting and sizing of capacitors for an IEEE distribution network. First, the most nominee buses for installing capacitors are developed using various indices. Loss Sensitivity Factors (LSF), Voltage Stability Index (VSI), and Power Loss Index (PLI) are employed to determine the selected buses. Then the proposed SMA is used to deduce the size of capacitors and their positions from the picked buses. The objective function is introduced to minimize the net cost and then, increase the total savin

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Al-Shamma’a, Abdullrahman A., Hassan M. Hussein Farh, and Khalil Alsharabi. "Integrating Firefly and Crow Algorithms for the Resilient Sizing and Siting of Renewable Distributed Generation Systems under Faulty Scenarios." Sustainability 16, no. 4 (2024): 1521. http://dx.doi.org/10.3390/su16041521.

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This study aimed to optimize the sizing and allocation of renewable distributed generation (RDG) systems, with a focus on renewable sources, under N-1 faulty line conditions. The IEEE 30-bus power system benchmark served as a case study for us to analyze and enhance the reliability and quality of the power system in the presence of faults. The firefly algorithm (FFA) combined with the crow search (CS) optimizer was used to achieve optimal RDG sizing and allocation through solving the optimal power flow (OPF) under the most severe N-1 faulty line. The reason for hybridization lies in leveraging

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Sun, Wentao, Yi Ge, Guojing Liu, et al. "Siting and Sizing Method of GFM Converters Based on Genetic Algorithm." Inventions 10, no. 1 (2025): 13. https://doi.org/10.3390/inventions10010013.

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The rising integration of renewable energy sources has resulted in a diminished capacity for voltage support within the system, which is characterized by low inertia and a reduced short circuit ratio (SCR). In order to improve grid strength and enhance the capacity for renewable energy integration, an initial analysis was conducted on the grid support capabilities of grid-forming (GFM) stations, followed by an investigation into how grid strength influences the dominant operational modes of GFM converters. Subsequently, leveraging the definition of the multi-infeed short circuit ratio, a calcu

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Zanin, Paulo S., Lina Paola Garcés Negrete, Gelson A. A. Brigatto, and Jesús M. López-Lezama. "A Multi-Objective Hybrid Genetic Algorithm for Sizing and Siting of Renewable Distributed Generation." Applied Sciences 11, no. 16 (2021): 7442. http://dx.doi.org/10.3390/app11167442.

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Renewable generation has been addressed in several aspects but it still represents a new paradigm for the expansion of the electricity supply. This paper aims to propose a new model for the sizing and siting problem of distributed generation (DG), based on renewable sources and considering three main aspects: technical, from the distribution utility viewpoint; economical, from the DG owner’s viewpoint, and environmental, from a sustainability perspective. A multi-objective Genetic Algorithm and the Maximin metric are implemented to obtain optimal Pareto sets; also, three decision criteria, con

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Khan, Noor Habib, Yong Wang, De Tian, Raheela Jamal, Salah Kamel, and Mohamed Ebeed. "Optimal Siting and Sizing of SSSC Using Modified Salp Swarm Algorithm Considering Optimal Reactive Power Dispatch Problem." IEEE Access 9 (2021): 49249–66. http://dx.doi.org/10.1109/access.2021.3061503.

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Chen, Dapeng, Zhaoxia Jing, and Huijuan Tan. "Optimal Siting and Sizing of Used Battery Energy Storage Based on Accelerating Benders Decomposition." IEEE Access 7 (2019): 42993–3003. http://dx.doi.org/10.1109/access.2019.2906876.

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Forooghi Nematollahi, A., A. Dadkhah, O. Asgari Gashteroodkhani, and B. Vahidi. "Optimal sizing and siting of DGs for loss reduction using an iterative-analytical method." Journal of Renewable and Sustainable Energy 8, no. 5 (2016): 055301. http://dx.doi.org/10.1063/1.4966230.

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