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考虑可再生能源的配电网储能和电动汽车运行优化研究

刘自发 刘云阳 王新月 屈高强

中国电机工程学报2022,Vol.42Issue(5):1813-1825,中插15,14.
中国电机工程学报2022,Vol.42Issue(5):1813-1825,中插15,14.DOI:10.13334/j.0258-8013.pcsee.202448

考虑可再生能源的配电网储能和电动汽车运行优化研究

Operation Schedule Optimization of Energy Storage and Electric Vehicles in a Distribution Network With Renewable Energy Sources

刘自发 1刘云阳 2王新月 1屈高强3

作者信息

  • 1. 华北电力大学电气与电子工程学院,北京市 昌平区 102206
  • 2. 北京电力经济技术研究院, 北京市 西城区 100055
  • 3. 国网宁夏电力公司,宁夏回族自治区 银川市 750001
  • 折叠

摘要

Abstract

More and more renewable energy sources (RESs) and electric vehicles (Evs) have become part of the distribution network due to their rapid development and considerable environmental benefits. Because of the randomness and uncertainty of renewable energy and Evs, the electric power characteristics have been changed and the active power losses are increased, which decreases the safety and economics of the distribution network. Therefore, energy storage (ES) is given significant attention for regulating system power in order to make the network more economical. In this paper, the operational schedule optimization model of ES and Evs in the distribution network with RESs was proposed to diminish losses, improve voltage profile and maximize the benefits of the ES's or EVs' aggregator. In order to obtain the optimal schedule, three constraint strategies based on the particle swarm optimization (PSO) algorithm were proposed, including dead-time constraint, charging and discharging cycles constraint, and charging and discharging power optimization. Finally, a simulation of an IEEE 33-node distribution network was carried out to examine the effectiveness of the proposed approach. The results show that the network losses are reduced while the operating cost of the battery is decreased by using the method proposed in this paper.

关键词

储能/电动汽车/运行规划/可再生能源电源

Key words

energy storage/electric vehicle/operation schedule/renewable energy sources

分类

信息技术与安全科学

引用本文复制引用

刘自发,刘云阳,王新月,屈高强..考虑可再生能源的配电网储能和电动汽车运行优化研究[J].中国电机工程学报,2022,42(5):1813-1825,中插15,14.

基金项目

国家重点研发计划项目(2016YFB0900105).National Key R&D Program of China(2016YFB0900105). (2016YFB0900105)

中国电机工程学报

OA北大核心CSCDCSTPCD

0258-8013

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