基于多智能体模拟方法的大用户峰谷电价响应研究  

Research on Large Customer Response Under Time-of-Use Electricity Pricing Policy Based on Multi-Agent System Simulation

作　　者：袁家海[1] 李蒙[1] 胡兆光 

机构地区：[1]华北电力大学工商管理学院 [2]国电动力经济研究中心

出　　处：《电网技术》2005年第23期44-49,共6页Power System Technology

摘　　要：为了提高峰谷分时电价政策的有效性,需要深入研究用户、尤其是大用户的电价响应机理,为此引入了多智能体模拟方法,在仿真过程中假设电价响应是众多用户分散决策的结果,且供电公司应能根据用户响应情况动态调整电价政策。文章阐述了仿真系统的设计原理与体系框架:用户智能体采用适应性智能体设计,基于模糊逻辑建立其响应规则;供电公司智能体采用学习型智能体设计,使用分类器学习算法进行规则学习;环境管理模块管理两类智能体的交互过程。最后以某实际电力公司为例进行了仿真计算。To enhance the effectiveness of electricity time-of-use(TOU) pricing,it is necessary to thoroughly research the price response mechanism of customers,especially that of large consumers.For this purpose,the multi-agent simulation is led into this paper.In simulation process the price response is regarded as the results of dispersal decision-makings of numerous customers and the power supply company have to possess the ability to dynamically adjust the pricing policy according to customers’ responses.Here,the...

关 键 词：峰谷分时电价 用户响应 多智能体系统 模拟 需求侧管理 电力市场 

分 类 号：TM743[电气工程—电力系统及自动化]