标题：A Substation Fault Diagnosis Method Based on IEC61850
作者：Gao Zhanjun; Wang Junshan; Gao Nuo
作者机构：[Gao Zhanjun; Wang Junshan] Shandong Univ, Minist Educ, Key Lab Power Syst Intelligent Dispatch & Control, Jinan 250100, Shandong, Peoples R China.; 更多
会议名称：General Meeting of the IEEE-Power-and-Energy-Society
会议日期：JUL 26-30, 2015
来源：2015 IEEE POWER & ENERGY SOCIETY GENERAL MEETING
关键词：Intelligent Substation; Alarm Information; Bayesian Algorithm;; Information Entropy Difference; Decision Fusion
摘要：Substations play an important role in power systems. The application of the IEC6I850 standard changes the situation of the traditional substation greatly. The information in the intelligent substation is rich, but it is difficult for the operators to digest them in a short time without an effective assistant tool. A fault diagnosis method which uses the alarming information of the primary and secondary system of the intelligent substation is proposed in this paper. This method first uses the Bayesian based algorithm to find the possible faulty set HI. And at the same time, the information entropy difference algorithm is used to obtain the fault assumption set H2. Then the fault assumption set H2 is used to calculate the fault correctness and a decision fusion algorithm can locate the fault components accurately. Finally, a fault scenario is served for demonstrating the feasibility and validity of the method presented.