文章摘要
胥 栋,叶傲霜,张少迪,罗其华,官乐乐,杨继光.基于电动汽车价格弹性需求响应的综合能源系统优化调度[J].电力需求侧管理,2023,25(4):73-79
基于电动汽车价格弹性需求响应的综合能源系统优化调度
Optimal dispatch of integrated energy system with electric vehicle demand response based on elastic price
投稿时间:2023-01-02  修订日期:2023-03-08
DOI:10. 3969 / j. issn. 1009-1831. 2023. 04. 012
中文关键词: 需求响应  价格弹性  经济优化  电动汽车
英文关键词: demand response  elastic price  economic optimal  electric vehicles
基金项目:上海市科学技术委员会科研计划项目(19DZ1205703)
作者单位
胥 栋 国网上海市电力公司 浦东供电公司上海 200120 
叶傲霜 国网上海市电力公司 浦东供电公司上海 200120 
张少迪 上海电器科学研究所(集团)有限公司 上海市智能电网需求响应重点实验室上海 200063 
罗其华 上海电力大学 自动化工程学院上海 200090 
官乐乐 上海电力大学 自动化工程学院上海 200090 
杨继光 上海电力大学 自动化工程学院上海 200090 
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中文摘要:
      针对电动汽车无序充电行为影响综合能源系统运行经济性的问题,提出一种考虑电动汽车电池荷电状态(stateof charge,SOC)弹性电价需求响应的综合能源系统优化调度策略。该策略首先分析了电动汽车充电行为,提出了考虑SOC的电动汽车弹性电价,建立基于电动汽车SOC因子的价格弹性需求响应优化调度模型;其次,在满足系统正常运行的前提下,以综合能源系统运行成本最小为目标,建立含电动汽车需求响应的区域综合能源系统模型,并采用混合线性规划进行求解;最后,根据电动汽车SOC弹性电价引导电动汽车参与需求响应,设置了3个场景进行对比,从电负荷、需求响应和热负荷3个方面分析了综合能源系统设备出力情况和系统运行成本。仿真结果表明,通过SOC弹性电价引导电动汽车参与综合能源系统需求响应,具有较好的可行性和经济性。
英文摘要:
      Aiming at the problem that the disorderly charging behavior of electric vehicles affects the operating economy of the integrated energy system, an integrated energy system optimal dispatch strategy that takes into account the elastic electricity price demand response of electric vehicles is proposed. This strategy first analyzes the charging behavior of electric vehicles, introduces incentive demand response, and considers the elastic electricity price based on the time-of-use electricity price, and establishes an electric vehicle elastic electricity price demand response optimal dispatch model;secondly, under the premise of meeting the normal operation of the system. The goal is to minimize the operating cost of the integrated energy system. A regional integrated energy system model with electric vehicle demand response is established and solved by hybrid linear programming. Finally, model sets three scenarios and four different flexible electricity prices based on whether electric vehicles participate in demand response. Make comparisons and analyze the equipment output and system operating costs under different scenarios and different electricity prices. The simulation results show that it is feasible and economical to guide electric vehicles to participate in the demand response of the integrated energy system through flexible electricity prices.
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