Application of Multi-agent in Power Term Load Forecasting
The mid-long term electric load forecasting provide essential data for the grid planning, it is helpful to optimize the planning of the power system. Solving the problem by the way of some agents cooperation is the focus of multi-agent systems theory and technology. It is more useful to do the forecasting by the multi-agent collaboration than individual agent do it independently. So that, in this paper introduces a multi-agent system diagnosis model. This model include three diagnosis-agents, a managementagent and fusion-agent .In this model the Diagnosisagent are established according to the growth trend prediction technology, regression model and Grey forecasting techniques, which are three different kinds of load forecasting algorithm . Those diagnosis-agents are regulated and controlled by the Management-agent, which purpose to achieve the fault diagnosis in consultation under all diagnosis-agents. The fusion-agent will give the final load under the control situation which is from the Managementagents message, forecasting result which should be from all the Diagnosis-agents forecast result and numbers of different diagnosis-agent
electric system mid-long term load forecasting Multi-agent
Zhao Wenqing Niu Chunxiang Wang Fei
School of Control and Computer Engineering, North China Electric Power University School of Business School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, H
国际会议
哈尔滨
英文
359-362
2011-12-24（万方平台首次上网日期，不代表论文的发表时间）