Energy Management and Optimization of Vehicle-to-grid Systems for Wind Power Integration

被引:62
|
作者
Wang, Wei [1 ]
Liu, Liu [2 ]
Liu, Jizhen [1 ]
Chen, Zhe [3 ]
机构
[1] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China
[2] North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China
[3] Aalborg Univ, Dept Energy Technol, DK-9220 Aalborg, Denmark
来源
基金
中国国家自然科学基金;
关键词
Dynamic programming; electric vehicle; knapsack problem; wavelet packet decomposition; wind power integration; IN ELECTRIC VEHICLES; STORAGE SYSTEM; RENEWABLE ENERGY; MODEL; STRATEGY;
D O I
10.17775/CSEEJPES.2020.01610
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
An approach to smoothing the fluctuations of large-scale wind power is investigated using vehicle-to-grid (V2G) systems. First, an energy management and optimization system is designed and modeled. By using the wavelet packet decomposition method, the target grid-connected wind power, the required electric vehicle (EV) power, and supercapacitor power are determined. The energy management model for EVs is then developed by introducing a knapsack problem that can evaluate the needs of an EV fleet. Furthermore, an optimized dispatch strategy for EVs and wind power is developed by using a dynamic programming method. A case study demonstrates that the energy management and optimization method for V2G systems achieves noticeable performance improvements over benchmark techniques.
引用
收藏
页码:172 / 180
页数:9
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