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科学制定峰谷分时电价政策,有利于提高系统可靠性与经济性。基于多智能体技术,提出了智能体系统(multi-agent system,MAS)总体框图,阐述了供电智能体、用户智能体和政府部门智能体的学习过程及其相互影响,结合电量电价弹性矩阵,考虑了不同用户的用电和响应特点以及用户智能体内部的相互影响。仿真过程可以动态显示供电智能体的调整动作、用户智能体的响应行为和负荷越限情况,以及政府部门智能体的干预行为。仿真结果表明:根据文中模型获得的峰谷分时电价策略具有更好的“移峰填谷”效果,兼顾供需双方的经济利益和用户用电习惯,供电、用户、政府智能体间实现信息共享。
The scientific development of the TOU pricing policy will help improve system reliability and economy. Based on the multi-agent technology, a general block diagram of multi-agent system (MAS) is proposed. The learning process and its interaction between the power supply agents, user agents and government agents are described. Combining with the electricity price elasticity matrix, Consider the power consumption and response characteristics of different users and the interaction within the user agent. The simulation process can dynamically display the adjustment actions of the power supply agent, the response behavior of the user agent and the over load condition, as well as the intervention of the government agency. The simulation results show that the strategy of time-of-use price-peak price based on the model in this paper has a better effect of shifting the peak to fill the valley, taking into account the economic benefits of both supply and demand and the user’s habit of using electricity, power supply, users and government agencies Information Sharing.