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电动公交车充电站代理商的月度交易模型与日运行优化策略
引用本文:李睿雪,胡泽春,段小宇. 电动公交车充电站代理商的月度交易模型与日运行优化策略[J]. 电力建设, 2019, 40(1): 27-34. DOI: 10.3969/j.issn.1000-7229.2019.01.004
作者姓名:李睿雪  胡泽春  段小宇
作者单位:清华大学电机工程与应用电子技术系,北京市,100084;清华大学电机工程与应用电子技术系,北京市,100084;清华大学电机工程与应用电子技术系,北京市,100084
基金项目:国家自然科学基金项目(U1766205, 51477082);国家电网公司科技项目(52110417001G)
摘    要:以电力大用户参与电力市场交易为背景,研究电动公交车光储充电站通过代理商参与月度电力交易的优化问题。基于实际电动公交车充电站的充电历史数据,提出了电动公交车代理商参与月度市场双边交易的优化模型,该模型考虑了充电站内光伏发电和充电负荷的随机性;提出了最小化偏差电量惩罚的充电站日运行优化策略与实施方法,通过控制充电站内储能系统充放电策略减小月度合同的偏差损失。算例结果表明,所提出的模型和策略可给出代理商月度交易的优化方案,并可显著减少合同偏差电量、降低惩罚费用。

关 键 词:电动公交车  充电站  电池储能  随机优化  电力市场

Monthly Bilateral Electricity Transaction Model and Daily Optimal Operation Strategy for the Agent of Electric Bus Charging Stations
LI Ruixue,HU Zechun,DUAN Xiaoyu. Monthly Bilateral Electricity Transaction Model and Daily Optimal Operation Strategy for the Agent of Electric Bus Charging Stations[J]. Electric Power Construction, 2019, 40(1): 27-34. DOI: 10.3969/j.issn.1000-7229.2019.01.004
Authors:LI Ruixue  HU Zechun  DUAN Xiaoyu
Affiliation:Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Abstract:This paper works on the problem of monthly electricity transaction optimization for the electric bus charging stations with solar power and energy storage through an agent, with regard to large electricity consumer participating the monthly electricity market. On the basis of the historical charging records of some actual electric bus charging stations, an optimization model for the agent of electric bus charging stations to participate in the monthly market bilateral transaction is proposed. The randomness of PV generation and the charging demands are taken into account in the model. An optimal dispatch model and implementation method are proposed to minimize the deviation penalty of the monthly contract via the charging and discharging schedule of energy storage system within electric bus charging station. Simulation results show that the proposed models and strategies can effectively provide the monthly optimal transaction decision of the agent and significantly mitigate the deviation penalty between contract and actual electricity consumption.
Keywords:electric bus  charging station  battery storage system  stochastic optimization  electric power market  
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