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作 者:迟忠君[1] 万庆祝[2] 陈娅兰[2] 孙健[1] 谷君[1] 张淼[1] 王鑫 CHI Zhong-jun;WAN Qing-zhu;CHEN Ya-lan;SUN Jian;GU Jun;ZHANG Miao;WANG Xin(State Grid Beijing Electric Power Company,Beijing 100075,China;Institute of Electrical and Control Engineering,North China University of Technology,Beijing 100144,China;State Grid Maintenance Company of Shanxi Electric Power Corporation,Taiyuan 030006,China)
机构地区:[1]国网北京市电力公司,北京100075 [2]北方工业大学电气与控制工程学院,北京100144 [3]国网山西省电力公司检修分公司,太原030006
出 处:《应用科学学报》2018年第6期987-995,共9页Journal of Applied Sciences
基 金:北京市电力节能关键技术协同创新基金(2011)(No.PXM2016_014212_000016);北京市教委专项基金(No.XN097)资助
摘 要:需求响应是智能电网灵活互动性的一种体现,在电力节能与电网削峰填谷中应用前景广阔.家庭热水器在需求响应中具有极大的优化运行潜力,但难以确定用电费用与热水温度两个目标之间的权重.为此,提出了一种基于纳什谈判的家用热水器优化方法,将热水器的用电费用与用户对水温的舒适度视为博弈的双方.通过纳什谈判的方法获得博弈过程的纳什谈判解,进而得到热水器的运行计划.仿真验证表明,该方法能有效地优化热水器的需求响应,同时实现了用电费用与用户舒适度之间的平衡.Demand response is an embodiment of the smart grid flexible interactivity. It has a broad application prospect in energy saving, peak clipping and valley filling. Household water heater in demand response has a great potential of optimal operation. However, in the demand response process of water heater, the weight between electricity cost and water temperature is difficult to determine. This paper proposes a household water heater optimization method based on the Nash bargaining. The water temperature and the electricity cost are considered as the two sides of game theory. The Nash equilibrium solution,which determines the water heater operation plan, is obtained by using Nash bargaining. Simulations show that the proposed method can effectively optimize the running of water heater and keep the balance between electricity cost and water temperature at the same time.
分 类 号:TM762[电气工程—电力系统及自动化]
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