引用本文:徐浩,夏鑫珏,李辉,等.计及充电请求预测补偿的电动汽车有序充电策略[J].电力系统保护与控制,2016,44(24):74-81.
XU Hao,XIA Xinjue,LI Hui,et al.An ordered charging strategy for electric vehicles accounting the compensation of predicted charging requests[J].Power System Protection and Control,2016,44(24):74-81
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计及充电请求预测补偿的电动汽车有序充电策略
徐浩1,夏鑫珏2,李 辉1,欧阳帆1,刘海峰1,张 磊3,梁文武1
(1.国网湖南省电力公司电力科学研究院，湖南 长沙 410007;2.河北省电力勘测设计研究院，
河北 石家庄 050031;3.国网湖南省电力公司，湖南 长沙 410000)
摘要:
针对现有有序充电策略未能充分考虑和应用后续时段内新增充电请求的问题，提出了一种计及充电请求预测补偿的住宅区电动汽车有序充电控制策略。在均分出的每个控制时段末，该策略依据实际新增充电请求数据修正了先前控制时段对当前控制时段新增充电请求的预测结果，并采用预测结果对后续各控制时间段内的新增待充电请求作了补偿，提高了充电请求预测结果的应用效果。在此基础上，构建了使系统负荷波动最小的有序充电控制模型。大量的算例分析及结果表明，该策略实施效果上佳，应用前景可观。
关键词:  电动汽车  住宅区充电行为  充电请求预测  动态优化  有序充电策略
DOI：10.7667/PSPC152220
分类号:
基金项目:
An ordered charging strategy for electric vehicles accounting the compensation of predicted charging requests
XU Hao1,XIA Xinjue2,LI Hui1,OUYANG Fan1,LIU Haifeng1,ZHANG Lei3,LIANG Wenwu1
(1. State Grid Hunan Electric Power Corporation Research Institute, Changsha 410007, China;2. Hebei Electric Power Design &
Research Institute, Shijiazhuang 050031, China;3. State Grid Hunan Electric Power Corporation, Changsha 410000, China)
Abstract:
Aiming at the problem of an inadequate consideration and application of newly generated charging requests in subsequent periods, this paper proposes an ordered charging strategy accounting the compensation of predicted charging requests for the residential charging behaviors. At the end of each control periods evenly divided, the strategy corrects the predicted results of newly generated charging request of the current control time period, which is conducted in the former control time periods, and utilizes the predicted charging requests to compensate the newly added electric vehicles waiting for charging in each control time periods following the current control time period, which improves the application effect of predicted results of charging requests effectively. On this basis, the paper establishes an ordered charging control model aimed at minimizing the load fluctuations. Numerous example analyses and results show that the strategy can obtain very good implementation effects, and thus own great application prospects.
Key words:  electric vehicle  residential charging behavior  charging request prediction  dynamic optimization  ordered charging
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