Interval optimization scheduling of electric vehicle charging station including wind power generation

被引：0

作者：

Cheng S. ^{[1
]}

Yang K. ^{[1
]}

Wang Y.-Q. ^{[1
]}

Yan X. ^{[1
]}

Wei Z.-B. ^{[1
]}

机构：

[1] Yichang Key Laboratory of Intelligent Operation and Security Defense of Power System, China Three Gorges University, Yichang

来源：

Dianji yu Kongzhi Xuebao/Electric Machines and Control | 2021年 / 25卷 / 06期

关键词：

Electric vehicles; Interval algorithm; Interval scheduling; Transform objective function; Uncertainties; Wind power generation;

D O I：

10.15938/j.emc.2021.06.012

中图分类号：

学科分类号：

摘要：

The intermittent and fluctuation of wind power and the randomness of electric vehicle charging load causes the problem that source and load of charging station with distributed wind power generation (CS-DWPG) change within a certain range, so it is necessary to use uncertainty method to optimize the scheduling. Different from other scheduling model, this paper takes the interval value simulated by multiple scenes instead of the point value as the prediction result of wind power and base load, and establishes the interval optimization scheduling model of CS-DWPG based on the interval operation rules. Secondly, the scheduling scheme and objective function obtained by the optimization of the auxiliary model are not the optimal interval, so the decision variable and the interval value of the objective function are solved by transforming objective function. The simulation shows that the interval scheduling results cover all possible operating conditions of point-value scheduling and the robust optimization results are more conservative than interval's. Moreover, the interval scheduling results have less fluctuation and better peak load shifting effect than robust optimization, which proves the superiority and effectiveness of interval scheduling in dealing with uncertain scheduling problems. © 2021, Harbin University of Science and Technology Publication. All right reserved.

引用

页码：101 / 109

页数：8

共 29 条

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