Electric Load Modeling Based on Evidence Reasoning
Zhu Jianquan1,Liu Feng2,Mei Shengwei2,Liu Mingbo1
1.School of Electric Power Engineering South China University of Technology Guangzhou 510640 China; 2.State Key Laboratory of Power Systems Department of Electrical Engineering Tsinghua University Beijing 100084 China
Abstract:A novel electric load modeling method is presented from the view of information fusion.First,the framework of electric load modeling is given with the evidence reasoning algorithm as a basic theoretical tool,which not only develops the traditional classification and modeling method in a new way,but also satisfies the needs of simulations in various environments.Secondly,the electric load model is built in detail based on the evidence reasoning algorithm.With the model,information of electric load from various sources,levels,and times can be fully utilized and the complex load characteristics are described accurately.The specific links,e.g.the choice of evidences and the assignment of basic reliability,are also analyzed.The simulation results demonstrate its effectiveness in the online simulation and predictive simulation,respectively.
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