| 电动汽车参与电力系统优化调度的谈判策略 |
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| 引用本文： | 刘伟佳,文福拴,薛禹胜,汪宏华,叶乐燕,陈瑛.电动汽车参与电力系统优化调度的谈判策略[J].电力系统自动化,2015,39(17):192-200. |
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| 作者姓名： | 刘伟佳 文福拴 薛禹胜 汪宏华 叶乐燕 陈瑛 |
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| 作者单位： | 浙江大学电气工程学院, 浙江省杭州市 310027,浙江大学电气工程学院, 浙江省杭州市 310027; 文莱科技大学电机与电子工程系, 斯里巴加湾市 BS8675， 文莱,南瑞集团公司(国网电力科学研究院), 江苏省南京市 211106,国网浙江省电力公司电动汽车服务分公司, 浙江省杭州市 310007,国网浙江省电力公司电动汽车服务分公司, 浙江省杭州市 310007,国网浙江省电力公司电动汽车服务分公司, 浙江省杭州市 310007 |
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| 基金项目： | 国家重点基础研究发展计划(973计划)资助项目(2013CB228202);国家自然科学基金委员会(NSFC)与英国工程与自然研究理事会(EPSRC)合作研究项目(51361130153,51361130152);国网浙江省电力公司科技项目(5211DF13500M) |
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| 摘 要： | 以电动汽车为代表的灵活电力负荷参与电力系统优化调度可以改善系统运行的经济性,对于这类负荷电力公司或相关管理机构应给予适当的经济激励。考虑到电动汽车代理商与电力系统调度机构之间的信息不对称,这部分经济激励应该由电力公司和电动汽车车主代理通过谈判来确定。在此背景下,研究了电动汽车代理商与电力公司针对电动汽车参与日前优化调度的谈判策略。首先,建立了计及电动汽车代理商参与系统优化调度的数学模型和电动汽车代理商的充电需求模型。之后,根据电动汽车代理商和电力公司分别对电动汽车参与系统优化调度为电力公司带来的收益和电动汽车代理可能遭受的损失的估计,分别给出了其谈判报价策略和报价调整策略。最后,以修改的IEEE 30节点系统为例,对所提出的电动汽车代理商谈判策略进行了仿真分析,说明了所提方法的基本特征。
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| 关 键 词： | 电动汽车 优化调度 需求侧响应 谈判策略 |
| 收稿时间： | 2014/7/24 0:00:00 |
| 修稿时间： | 2/2/2015 12:00:00 AM |
Negotiation Strategies for Participation of Electric Vehicles in Power System Optimal Dispatching |
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| LIU Weiji,WEN Fushuan,XUE Yusheng,WANG Honghu,YE Leyan and CHEN Ying.Negotiation Strategies for Participation of Electric Vehicles in Power System Optimal Dispatching[J].Automation of Electric Power Systems,2015,39(17):192-200. |
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| Authors: | LIU Weiji WEN Fushuan XUE Yusheng WANG Honghu YE Leyan and CHEN Ying |
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| Affiliation: | College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China,College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China; Department of Electrical & Electronic Engineering, Institut Teknologi Brunei, Bandar Seri Begawan BS8675, Brunei,NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211106, China,Division of Electric Vehicle Service, State Grid Zhejiang Electric Power Company, Hangzhou 310007, China,Division of Electric Vehicle Service, State Grid Zhejiang Electric Power Company, Hangzhou 310007, China and Division of Electric Vehicle Service, State Grid Zhejiang Electric Power Company, Hangzhou 310007, China |
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| Abstract: | The employment of flexible electric loads such as electric vehicles (EVs) in power system optimal dispatching could improve the operation economics of the power system concerned. For this type of load, the electric power company or related management agency should give appropriate economic incentives. Since neither the EV aggregators nor the electric power company are sure about the profits or costs of the other side for scheduling the EV charging loads, a negotiation process can be introduced to work out reasonable economic rewards. Against this background, the negotiation strategies between the EV aggregators and the power company are studied for the participation of EV in day-ahead optimal dispatching. First, the optimal dispatching model considering the participation of the EV aggregators and the charging load model for the EV aggregators are developed. The negotiation bidding strategies and the bidding adjusting strategies between the EV aggregators and the power company are proposed next based on their expectations of possible economic revenues of the power company and possible losses suffered by the EV aggregators through dispatching the EV charging loads. Finally, with the modified IEEE 30-bus system as an example, the negotiation strategies developed are simulated and analyzed to account for the basic characteristics of the strategies. This work is supported by National Basic Research Program of China (973 Program) (No. 2013CB228202), National Natural Science Foundation of China (No. 51361130153, No. 51361130152) and State Grid Zhejiang Electric Power Company (No. 5211DF13500M). |
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| Keywords: | electric vehicle (EV) optimal dispatching demand response negotiation strategy |
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