峰谷分时电价下的用户响应行为研究

Customer Response Behavior in Time-of-Use Price

在基于消费者心理学原理建立的峰谷分时电价下用户响应模型的基础上,根据峰谷分时电价制定过程需要,准确把握用户响应特性的需求,基于加权最小二乘法建立了用户响应度曲线的参数辨识模型;提出了用户真实响应度曲线的获取是一个利用历史数据反复修正的过程,并解决了分段线性的响应度曲线的拐点处理问题;然后针对峰谷电价不同实施情况的用户,制定了峰谷分时电价下用户响应行为的实时仿真流程,并用实例说明了上述模型的有效性和优越性。

On the basis of customer response model for time-of-use（TOU） price,which was built based on the principle of consumer psychology,to meet the requirement during the drafting of TOU price to accurately grasp the demand of customer response characteristic a parameter identification model of customer responsivity curve was built by weighted least square method;it was pointed out that the acquisition of genuine customer responsivity curve was a repeatedly revising process by use of historical data and the problem of processing inflection points in piecewise linearized responsivity curve was solved;for customers to which the implementations of TOU price were different,the process of real-time simulation of customer response behavior in TOU price was drafted,and both effectiveness and advantage of the proposed model were verified by actual load data of a certain industrial customer.