文章摘要
吴巨爱,薛禹胜,谢东亮.电动汽车聚合商对备用服务能力的优化[J].电力系统自动化. DOI: 10.7500/AEPS20181204003.
WU Juai,XUE Yusheng,.Optimization of Reserve Service Capacity by Electric Vehicle Aggregator[J].Automation of Electric Power Systems. DOI: 10.7500/AEPS20181204003.
电动汽车聚合商对备用服务能力的优化
Optimization of Reserve Service Capacity by Electric Vehicle Aggregator
DOI:10.7500/AEPS20181204003
关键词: 电动汽车  聚合商  运行备用  需求侧响应  调度策略优化  效容比指标
KeyWords: electric vehicle  aggregator  reserve  demand side response  dispatching strategy optimization  efficiency capacity ratio
上网日期:2019-03-13
基金项目:国家重点研发计划“促进可再生能源消纳的风电光伏发电功率预测技术及应用”(2018YFB0904200);国家电网公司总部科技项目“电力转型对能源转型的主动支撑研究——以青海省为例”
作者单位E-mail
吴巨爱 南京理工大学 wujuai@sgepri.sgcc.com.cn 
薛禹胜 南瑞集团有限公司 xueyusheng@sgepri.sgcc.com.cn 
谢东亮 南瑞集团有限公司 xiedongliang@sgepri.sgcc.com.cn 
摘要:
      电力市场环境下实现电动汽车(electric vehicle, EV)的聚类,并积极参与有序充/放电,可以为受端电网提供多样化的功率调节手段,有利于大规模间歇性新能源的消纳。站在EV聚合商(aggregator)这一中间环节,能够更全面地分析市场环境下如何有效利用这一分散的可调控资源。聚合商旨在最大化自身收益,而制定合理的EV充/放电策略是达成该优化目标的途径,但策略的制定同时也受制于市场环境、用户用车需求与参与有序充/放电意愿等因素。本文首先分析了影响聚合商充/放电策略的因素,进而提出了可接纳EV参与竞争的用户充/放电合约及相应的市场机制;在此基础上,构建了EV聚合商同时参与现货和备用市场的优化问题,提出了基于效容比指标求解充/放电策略的分布式算法;最后通过实例验证了算法的准确性与高效性。
Abstract:
      The orderly charge/discharge of electric vehicles (EVs) can provide diversified power regulation methods for receiving-end power grid in the power market environment, which is conducive to the consumption of large-scale renewable energy generation. From EV aggregator’s perspective, it can be more comprehensively analyzed how to use this decentralized and regulatable resource effectively in the power market. EV aggregator’s aim is to maximize its profit, and the formulation of EV charge/discharge strategy is the way to achieve this optimization goal, but the strategy formulation is also subject to the market environment, users’ travel demands and willingness. In this paper, the relevant factors affecting aggregator’s strategy formulation are first analyzed, then the charge/discharge contract mechanism for EV users and the corresponding market mechanism which allow EVs participate in market competition are discussed. On this basis, the optimization problem is built to ensure EVs participate in the electricity spot market and reserve market simultaneously. Then a distributed algorithm based on the “efficiency capacity ratio” index is proposed. Finally, an example is provided to verify the accuracy and efficiency of this algorithm.
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