Optimal allocation of solar photovoltaic distributed generation in electrical distribution networks using Archimedes optimization algorithm
作者机构：Department of Electrical and Electronics EngineeringSchool of Engineering and TechnologyCHRIST(Deemed to be University)Bangalore-560074KarnatakaIndia Department of Electrical&Electronics EngineeringR.V.R.&J.C.College of EngineeringGuntur-522019Andhra PradeshIndia
出 版 物：《Clean Energy》 (清洁能源（英文）)
年 卷 期：2022年第6卷第2期
页 面：271-287页
核心收录：
学科分类：08[工学] 0807[工学-动力工程及工程热物理]
主 题：solar photovoltaic system electrical distribution network composite load modelling Archimedes optimization algorithm distributed generation
摘 要：This paper proposes to resolve optimal solar photovoltaic(SPV)system locations and sizes in electrical distribution networks using a novel Archimedes optimization algorithm(AOA)inspired by physical principles in order to minimize network dependence and greenhouse gas(GHG)emissions to the greatest extent *** sensitivity factors are used to predefine the search space for sites,and AOA is used to identify the optimal locations and sizes of SPV systems for reducing grid dependence and GHG emissions from conventional power *** with composite agriculture loads on a practical Indian 22-bus agricultural feeder,a 28-bus rural feeder and an IEEE 85-bus feeder demonstrated the critical nature of optimally distributed SPV systems for minimizing grid reliance and reducing GHG emissions from conventional energy ***,the voltage profile of the network has been enhanced,resulting in significant reductions in distribution *** results of AOA were compared to those of several other nature-inspired heuristic algorithms previously published in the literature,and it was observed that AOA outperformed them in terms of convergence and redundancy when solving complex,non-linear and multivariable optimization problems.
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