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电动汽车与可再生能源的协调优化

周杨 王东华

广东电力2016,Vol.29Issue(10):42-48,7.
广东电力2016,Vol.29Issue(10):42-48,7.DOI:10.3969/j.issn.1007-290X.2016.10.008

电动汽车与可再生能源的协调优化

Coordinated Optimization on Electric Vehicles and Renewable Energy

周杨 1王东华2

作者信息

  • 1. 广东电网发展研究院有限责任公司,广东 广州 510080
  • 2. 中国南方电网有限责任公司超高压输电公司广州局,广东广州510405
  • 折叠

摘要

Abstract

In allusion to multi-objective coordinated dispatching for electric vehicles and renewable energy,this paper establi-shes a multi-objective coordinated control model taking minimum load fluctuation of the power distribution network,mini-mum network loss and minimum charging cost of electric vehicle users for objective functions. It also uses quantum particle swarm(PSO)multi-objective searching algorithm for solution and then gets reasonable network accessing numbers of electric vehicles at each time. IEEE-33 node power distribution system is used for simulating experiment and results indicate that it is able to reduce generation intermittent of renewable energy and influence on the power grid by random of network accessing of electric vehicles by taking battery energy storage system of the electric vehicle as cushion for the power grid and renew-able energy,as well as promote maximization of bilateral benefits of grid side and user side.

关键词

电动汽车/可再生能源/协调控制/量子粒子群优化算法/多目标优化

Key words

electric vehicle/renewable energy/coordinated control/quantum particle swarm optimization algorithm/multi-objective optimization

分类

信息技术与安全科学

引用本文复制引用

周杨,王东华..电动汽车与可再生能源的协调优化[J].广东电力,2016,29(10):42-48,7.

广东电力

OACSTPCD

1007-290X

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