考虑电动汽车用户满意度的微网分层优化调度策略

doi:10.11930/j.issn.1004-9649.202005079

中国电力 ›› 2020, Vol. 53 ›› Issue (12): 83-91.DOI: 10.11930/j.issn.1004-9649.202005079

• 城镇地区分布式多能互补能源系统关键技术专栏 • 上一篇下一篇

考虑电动汽车用户满意度的微网分层优化调度策略

于会群¹, 尹申¹, 张浩², 时珊珊³, 彭道刚¹, 蔡国顺¹

1. 上海电力大学自动化工程学院，上海 200090;
2. 同济大学电子与信息工程学院，上海 201804;
3. 国网上海市电力公司电力科学研究院，上海 200437

收稿日期:2020-05-11 修回日期:2020-07-12 发布日期:2020-12-16
作者简介:于会群(1978—)，女，博士，副教授，从事电站自动化技术、分布式能源控制技术、微电网控制技术研究，E-mail：yuhuiqun@shiep.edu.cn;尹申(1996—)，男，通信作者，硕士研究生，从事区域能源互联网，电动汽车优化调度研究，E-mail：875849283@qq.com
基金资助:
国家自然科学基金项目资助(71871160)；国网上海市电力公司科技项目(52094019007G)

Optimization Strategy of Microgrid Hierarchical Scheduling Considering Electric Vehicles User Satisfaction Degree

YU Huiqun¹, YIN Shen¹, ZHANG Hao², SHI Shanshan³, PENG Daogang¹, CAI Guoshun¹

1. School of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China;
2. School of Electronic and Information Engineering, Tongji University, Shanghai 201804,China;
3. State Grid Shanghai Electric Power Company Electric Power Research Institute, Shanghai 200437, China

Received:2020-05-11 Revised:2020-07-12 Published:2020-12-16
Supported by:
This work is supported by National Natural Science Foundation of China (No.71871160), Science and Technology Project of State Grid Shanghai Electric Power Company(No.52094019007G)

摘要/Abstract

摘要： 针对住宅区微网中的电动汽车集群，提出一种考虑电动汽车用户满意度的微网分层优化调度策略。将微网调度优化的过程分为负荷层和源储层，负荷层在保证用户满意度的前提下，利用电动汽车的储能特性平抑微网的负荷峰值，源储层先用可再生能源出力支持微网用电负荷，多余出力部分则通过电动汽车进行消纳，使得微网综合运行成本达到最低。然后，用改进蚁狮算法求解源储层模型，最后，通过算例进行验证。结果表明，相对于电动汽车无序充电，该策略大幅提升了微网运行的经济性、可靠性以及电动汽车用户的满意度。

关键词: 电动汽车, 用户满意度, 微网, 分层优化调度策略, 改进蚁狮算法

Abstract: In this paper, a hierarchical scheduling optimization strategy considering electric vehicle user satisfaction degree is proposed for electric vehicle cluster in residential microgrid. Microgrid scheduling optimization process can be divided into load layer and source storage layer. The load layer utilizes the energy storage characteristics of electric vehicles to smooth the peak of the original load in the microgrid under the premise of ensuring user satisfaction of electric vehicles. Renewable energy is used to support the load of the microgrid in the source storage layer, and the excess part is absorbed by the dispatchable electric vehicle, which makes the comprehensive cost of the microgrid minimized. The improved ant lion algorithm is used to solve the model of the source storage layer. Lastly, verify through an example. The result shows that the strategy greatly improves the economics and reliability of microgrid compared with the disordered charge of electric vehicles. Meanwhile, the satisfaction degree of electric vehicle user is improved.

Key words: electric vehicle, user satisfaction degree, microgrid, hierarchical optimization scheduling strategy, improved ant lion algorithm

于会群, 尹申, 张浩, 时珊珊, 彭道刚, 蔡国顺. 考虑电动汽车用户满意度的微网分层优化调度策略[J]. 中国电力, 2020, 53(12): 83-91.

YU Huiqun, YIN Shen, ZHANG Hao, SHI Shanshan, PENG Daogang, CAI Guoshun. Optimization Strategy of Microgrid Hierarchical Scheduling Considering Electric Vehicles User Satisfaction Degree[J]. Electric Power, 2020, 53(12): 83-91.

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https://www.electricpower.com.cn/CN/Y2020/V53/I12/83

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考虑电动汽车用户满意度的微网分层优化调度策略

Optimization Strategy of Microgrid Hierarchical Scheduling Considering Electric Vehicles User Satisfaction Degree

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考虑电动汽车用户满意度的微网分层优化调度策略

Optimization Strategy of Microgrid Hierarchical Scheduling Considering Electric Vehicles User Satisfaction Degree

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