Integrated reactive power optimization for distribution systems considering electric vehicle dis-/charging support

被引:2
|
作者
Chen, Junbin [1 ]
Bei, Guoyue [1 ]
Zhang, Qiangzhong [1 ]
Huang, Luqi [1 ]
Liu, Kaiyue [1 ]
Chen, Pufan [2 ]
机构
[1] Guangdong Power Grid Co Ltd, Shanwei Power Supply Bur, Shanwei City 516600, Peoples R China
[2] South China Univ Technol, Sch Elect Power, Guangzhou 510640, Peoples R China
关键词
Electric vehicles; Bi-directional chargers; Power factor angle; Ordered dis-/charging; Reactive power optimization; OPERATION;
D O I
10.1016/j.egyr.2023.04.189
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Electric vehicle (EV) charging, and discharging have an important reactive power support capability for the distribution network, for which a reactive power optimization method considering EV dis-/charging is proposed. Firstly, the principle of charger's reactive power regulation is analysed, and a charger state constraint model is established to satisfy the constraints on the power factor angle by modifying the charger state for the battery capacity and the target power of the users. Secondly, a quantification method for user reactive power optimization subsidies is proposed to establish network-side and user-side demand indicators respectively, and to integrate reactive power optimization target function for the distribution system. Then, bi-directional charger's PF is taken as the optimization variable, and the charger power factor angle optimization method is proposed based on the Particle Swarm Optimization (PSO) algorithm, so as to establish a reactive power optimization model considered the orderly dis-/charging, in order to realize the active/reactive power regulation between the distribution network and Owners of the EV. Finally, simulations are carried out using the IEEE-33 model as an example. Results proved that presented orderly dis-/charging method can increase voltage profile and decrease loss rate of the network to 40%, but also significantly decrease customer's expenditure to 13%, while satisfying the temporary travel demand of customers. (C) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页码:1888 / 1896
页数:9
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