电力系统自动化2019，Vol.43Issue(2)：25-33,9.DOI:10.7500/AEPS20180405004
基于云模型与模糊Petri网的电力市场潜在危害行为识别
Identification of Potential Harmful Behaviors in Electricity Market Based on Cloud Model and Fuzzy Petri Net
刘敦楠 1张潜 1李霄彤 1顾宇桂 2谭忠富1
作者信息
- 1. 新能源电力系统国家重点实验室(华北电力大学), 北京市 102206
- 2. 北京电力交易中心有限公司, 北京市 100031
- 折叠
摘要
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, ageneral 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.关键词
电力市场/市场监管/潜在危害行为/模式识别/云模型/模糊Petri网Key words
electricity market/market supervision/potential harmful behavior/pattern identification/cloud model/fuzzy Petri net引用本文复制引用
刘敦楠,张潜,李霄彤,顾宇桂,谭忠富..基于云模型与模糊Petri网的电力市场潜在危害行为识别[J].电力系统自动化,2019,43(2):25-33,9.
