文献类型：期刊文献

英文题名：Optimal sizing and sitting of EVCS in the distribution system using metaheuristics: A case study

作者：Chen, Liang[1];Xu, Chunxiang[1];Song, Heqing[2];Jermsittiparsert, Kittisak[3,4,5]

第一作者：Chen, Liang

通讯作者：Song, HQ[1];Jermsittiparsert, K[2]

机构：[1]Zhengzhou Univ Technol, Zhengzhou 450000, Peoples R China;[2]Zhejiang Gongshang Univ, Hangzhou Coll Commerce, Hangzhou 311508, Peoples R China;[3]Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam;[4]Duy Tan Univ, Fac Informat Technol, Da Nang 550000, Vietnam;[5]Henan Univ Econ & Law, MBA Sch, Zhengzhou 450046, Henan, Peoples R China

第一机构：Zhengzhou Univ Technol, Zhengzhou 450000, Peoples R China

通讯机构：[1]corresponding author), Zhejiang Gongshang Univ, Hangzhou Coll Commerce, Hangzhou 311508, Peoples R China;[2]corresponding author), Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam.

年份：2021

卷号：7

起止页码：0-9

外文期刊名：ENERGY REPORTS

收录：;EI(收录号：20205209671640);Scopus(收录号：2-s2.0-85097883508);WOS:【SCI-EXPANDED(收录号:WOS:000701658700001)】；

语种：英文

外文关键词：Electric vehicle charging station; Allocation; Optimization; Balanced Mayfly Algorithm; Installation cost

摘要：In this study, a new optimal allocation and sizing have been proposed for an Electric Vehicle Charging Station (EVCS) on a Distribution System in Allahabad, India. The main idea is to optimize the EVCS configuration by considering Voltage Profile Improvement Index (VPII), Reactive Power Loss Reduction Index (QLRI), Real Power Loss Reduction Index (PLRI), and the preliminary development cost to get the minimum value of the installation cost and to provide higher quality of parameters for the power grid. For solving the studied nonlinear mixed-integer optimization problem, a new improved metaheuristic, called Balanced Mayfly Algorithm (BMA) is proposed. The modification is established to improve the accuracy and to resolve the exploration issue of the algorithm. The BMA used two modifications including elite mayfly couples and chaos mechanism to resolve these issues as it is possible. After validating the algorithm, it is applied to 30-bus distribution system in Allahabad, India and its results are compared with GAIPSO and basic MA. The results indicated that the voltage shape is smoothened and a reasonable balance between voltage profile and network losses is obtained. The results also show that the suggested method with 18.358 MW active power loss, 73.826 MVar reactive power loss, 10961 s computational burden, and 415 number of charging ports gives superior performance with lesser power losses. The number of CS allocated through GAIPSO and MA does not satisfy the demand of the city's consumers. (C) 2020 The Author(s). Published by Elsevier Ltd.