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电动汽车代理在电力市场的最优竞标策略

宫鑫 林涛 苏秉华

电网技术2016,Vol.40Issue(9):2596-2602,7.
电网技术2016,Vol.40Issue(9):2596-2602,7.DOI:10.13335/j.1000-3673.pst.2016.09.003

电动汽车代理在电力市场的最优竞标策略

Optimal Bidding Strategy of a Electric Vehicle Aggregator in Electricity Market

宫鑫 1林涛 1苏秉华2

作者信息

  • 1. 武汉大学 电气工程学院,湖北省 武汉市 430072
  • 2. 北京理工大学珠海学院 信息学院,广东省 珠海市 519085
  • 折叠

摘要

Abstract

ABSTRACT:Withrapid development of electricity market and electric vehicle (EV),EVaggregator can help EV usersto decrease charging costs by bidding in electricity market. Bidding model of an aggregatorparticipating in day-ahead and real-time electricity market was proposed with objective of minimizing charging costs while satisfying EVs' flexible demand.The aggregator was assumed to potentially influence pricesinday-ahead and real-time market.Bidding strategy of the aggregator was formulated as a bi-level model,withthe upper level model representingcharging cost minimization of the aggregator, whereas the lower level model representing market clearing providingmarket price and energy for the upper level model.Bids of other market participants and EV driving pattern werenotknown to the aggregator in advance. They were seen as fuzzy variables and random variables. Uncertainty theory was used to solve thisrandom-fuzzy programming problem. A numerical example was used to illustrate feasibility of the proposed method.The results indicate that the bidding strategycandecrease EVs’charging costs effectively.

关键词

电动汽车/竞标策略/电力市场/不确定变量

Key words

EV/bidding strategy/electricity market/uncertainty variable

分类

信息技术与安全科学

引用本文复制引用

宫鑫,林涛,苏秉华..电动汽车代理在电力市场的最优竞标策略[J].电网技术,2016,40(9):2596-2602,7.

基金项目

国家自然科学基金资助项目(51177111)。Project Supported by National Natural Science Foundation of China(NSFC)(51177111) (51177111)

电网技术

OA北大核心CSCDCSTPCD

1000-3673

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