RESEARCH ON CHARGING AND DISCHARGING STRATEGY OF ELECTRIC VEHICLES IN PARK MICRO-GRID BASED ON PIGEON-INSPIRED OPTIMIZATION ALGORITHM

被引:1
|
作者
Yu, Yueyuan [1 ]
Wang, Yachao [2 ]
Xu, Dezhi [1 ]
Dou, Zhenlan [3 ]
Yang, Mei [4 ]
机构
[1] Jiangnan Univ, Sch Internet Things Engn, 1800 Lihu Ave, Wuxi 214122, Peoples R China
[2] State Grid Jibei Mkt Serv Ctr, 1 Dizangnanxiang Rd, Beijing 100000, Peoples R China
[3] State Grid Shanghai Municipal Elect Power Co, World Expo Natl Network Pavil 677,Jumen Rd, Shanghai 200023, Peoples R China
[4] State Grid Beijing Comprehens Energy Planning & De, 60 Linxiao Rd, Beijing 102699, Peoples R China
基金
中国国家自然科学基金;
关键词
Electric vehicle; Vehicle-to-grid; Orderly charge and discharge; Charging; station; Improved pigeon-inspired optimization algorithm; CONTROLLER;
D O I
10.24507/ijicic.19.03.721
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
To reduce the adverse impact of electric vehicles on the power grid, compensate for instabilities caused by randomness of the distributed energy, reduce user cost, and improve user satisfaction, an optimisation strategy is proposed herein for orderly charging and discharging of electric vehicles. The daily load rate of the park micro-grid, peak-valley difference of the load, and economic benefits to the users are considered as the optimisation objectives, and the uncertainty of solar power generation and energy storage are considered fully. The strategy for pigeonholing optimisation based on quantum behaviour is proposed to organise the charging and discharging behaviours of electric vehicles reasonably while realising benign interactions between the electric vehicles and grid; the feasibility and superiority of the proposed strategy are also verified by simulation experiments.
引用
收藏
页码:721 / 735
页数:15
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