基于光储充电站的电动汽车分层优化调度

doi:10.3969/j.issn.2097-0706.2023.09.002

综合智慧能源 ›› 2023, Vol. 45 ›› Issue (9): 11-17.doi: 10.3969/j.issn.2097-0706.2023.09.002

基于光储充电站的电动汽车分层优化调度

胡超¹(), 彭文河²(), 方支剑²()

1.华电湖北发电有限公司，武汉 430063
2.中国地质大学（武汉）自动化学院，武汉 430074

收稿日期:2023-06-05 修回日期:2023-07-20 出版日期:2023-08-17 发布日期:2023-08-17
作者简介:胡超（1980），男，工程师，硕士，从事新能源集控及远程诊断管理、信息化运维管理工作， hu.c@chd.com.cn；
彭文河（1998），男，在读硕士研究生，从事能量优化调度研究， wenhepeng@cug.edu.cn；
方支剑（1988），男，教授，博士生导师，IEEE会员，博士，从事电力电子与能量变换、储能与电动汽车能量变换等方面的研究，fzjwhu@foxmail.com。
基金资助:
中国华电集团科技项目(CHDKJ22-01-31)

Hierarchical optimization scheduling for electric vehicles with PV-power storage charging stations

HU Chao¹(), PENG Wenhe²(), FANG Zhijian²()

1. Huadian Hubei Power Generation Company Limited，Wuhan 430063，China
2. School of Automation， China University of Geosciences （Wuhan）， Wuhan 430074，China

Received:2023-06-05 Revised:2023-07-20 Online:2023-08-17 Published:2023-08-17
Supported by:
Science and Technology Program of China Huadian Corporation(CHDKJ22-01-31)

摘要/Abstract

摘要：

电动汽车（EV）具有环保、可充放电等特点，在一定条件下可视为储能电池参与微网的电力运行，因此基于光储充一体化的EV充电站成为应对能源互联网的重要举措，但EV充电负荷具有很强的随机性，变化的EV负荷会改变一定时期内的负荷特性，给微网的稳定运行带来一定困难。为解决大量EV接入时可能出现的维数灾难、求解慢等问题，提出了一种分层的EV优化调度策略。首先，建立微网内部组成单元模型及约束条件；其次，建立EV的动态电价模型；然后，以微网运行成本、EV充放电收益和配网网损为优化对象，建立光储充电站EV优化调度策略及各层目标函数并采用自适应粒子群算法进行优化。仿真结果表明，EV的接入起到了“削峰填谷”的作用，极大减少了EV充电成本和微网优化成本并可以满足车主的出行需求。

关键词: 电动汽车, 储能, 微网, 动态电价模型, 光储充电站, 优化调度, 削峰填谷, 能源互联网

Abstract:

Since electric vehicles are environmentally friendly and rechargeable， they can be taken as batteries under certain circumstances and participate in the operation of microgrids. As a result，PV-power storage integrated systems are important for the development of Energy Internet. But EV loads are highly volatile. The random EV loads with the attributes varying with time will impact the stable operation of microgrids. To address the dimension disaster and low effectiveness of the problem solving that accrues when large-scale EVs are connected to the power grid， a hierarchical optimization scheduling strategy is proposed. Based on the models for different units in the microgrid and different constraints， the dynamic electricity price model for EVs is established. To achieve the lowest operation cost of the microgrid， the highest profit from discharging and charging EVs and the minimal network loss， the optimization scheduling strategy for electric vehicles with PV-power storage charging stations is put forward， and the optimization objects on different layers are solved by adaptive particle swarm optimization. Finally， the simulation results show that the availability of electric vehicles contributes to peak load regulation， and the strategy can accommodate vehicle owners' needs while significantly lowering the operation cost of microgrid and charging cost of EVs.

Key words: electric vehicle, energy storage, microgrid, dynamic electricity price model, PV-power storage charging station, optimize scheduling, peak load regulation, Energy Internet

中图分类号:

TK019：TM72

胡超, 彭文河, 方支剑. 基于光储充电站的电动汽车分层优化调度[J]. 综合智慧能源, 2023, 45(9): 11-17.

HU Chao, PENG Wenhe, FANG Zhijian. Hierarchical optimization scheduling for electric vehicles with PV-power storage charging stations[J]. Integrated Intelligent Energy, 2023, 45(9): 11-17.

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成本	EV有序充放电	EV无序充电
EV充放电成本	55.884 2	724.650 3
微网优化成本	2 982.7	4 404.5

基于光储充电站的电动汽车分层优化调度

Hierarchical optimization scheduling for electric vehicles with PV-power storage charging stations

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