ISSN 1000-1026
CN 32-1180/TP
  • ISSN 1000-1026
  • CN 32-1180/TP

Citation: LIU Dunnan,ZHANG Qian,LI Xiaotong,GU Yugui,TAN Zhongfu.Identification of Potential Harmful Behaviors in Electricity Market Based on Cloud Model and Fuzzy Petri Net[J].Automation of Electric Power Systems,2019,43(2):25-33. DOI: 10.7500/AEPS20180405004 copy

Identification of Potential Harmful Behaviors in Electricity Market Based on Cloud Model and Fuzzy Petri Net

  • Received Date: April 05, 2018
    Accepted Date: June 11, 2018
    Available Online: September 17, 2018

  • Abstract:

        To solve the problem of identification and control of potential harmful transactions in electricity market, a method for identifying potential harmful behaviors based on the cloud model and the fuzzy Petri net is proposed to realize real-time warning of potential hazards in the transaction process. The cloud model and the fuzzy Petri net are applied to pattern recognition, which effectively solves the problem that the potential hazard behavior is difficult to quantify, and overcomes the defects that the general recognition method is not easy to understand. Firstly, a general framework and procedure for identifying potential harmful behaviors is designed. Secondly, two methods of building feature cloud based on reverse cloud generator and expert description are described. Meanwhile, a fuzzy Petri net structure and recognition algorithm for potential harmful behaviors is designed. Finally, an example is made and analyzed by using the real transaction data of monthly auction market in Jiangxi Province, which shows the results given by the proposed method are highly consistent with the results obtained by artificial analysis and actual data.


  • Keywords:

    electricity market; market supervision; potential harmful behavior; pattern identification; cloud model; fuzzy Petri net


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