• HOME
  • About Journal
    • Historical evolution
    • Journal Honors
  • Editorial Board
    • Members of Committee
    • Director of the Committee
    • President and Editor in chief
  • Submission Guide
    • Instructions for Authors
    • Manuscript Processing Flow
    • Model Text
    • Procedures for Submission
  • Academic Influence
  • Open Access
  • Ethics&Policies
    • Publication Ethics Statement
    • Peer Review Process
    • Academic Misconduct Identification and Treatment
    • Advertising and Marketing
    • Correction and Retraction
    • Conflict of Interest
    • Authorship & Copyright
  • Contact Us
  • Chinese
Site search        
文章摘要
基于模糊聚类排序及状态均匀性的电网安全性风险评估
Power Grid Security Risk Assessment Based On Fuzzy Cluster and State Homogeneity
Received:April 27, 2017  Revised:April 27, 2017
DOI:
中文关键词: 熵  指标可比性  模糊聚类  安全性  风险评估
英文关键词: entropy  comparability of index  fuzzy cluster  security  risk assessment
基金项目:
Author NameAffiliationE-mail
huangwenjing SiChuan University huangwenjing_scu@163.com 
lihuaqiang* SiChuan Uniersity 923204042@qq.com 
Hits: 1725
Download times: 564
中文摘要:
      电网安全性风险评估对预防大停电事故的发生具有重要意义。针对现有安全性风险评估中严重度指标的可比性、可理解性问题,本文提出一种基于模糊聚类排序的安全性风险评估方法。基于运行可靠性理论,构建事故概率模型;运用熵理论,建立系统状态分布熵,克服现有风险评估方法对系统均匀性考虑的欠缺;考虑指标间可比性问题,采用模糊聚类排序算法求取系统全局综合严重度指标。IEEE30节点系统仿真结果证明本文方法能够合理有效辨识N-1及N-k故障风险。
英文摘要:
      The power grid security risk assessment is of great significance for preventing catastrophic failures. Due to the shortcomings of the existing security risk assessment methods in comparability and understandability of severity index, a security risk assessment method based on fuzzy cluster analysis is put forward. The method uses operational reliability theory, to build the grid failure model. based on the entropy theory, building system state entropy overcomes the shortage of traditional severity model which consider state homogeneity insufficiently. Refer to the comparability of index,using the fuzzy cluster method calculate global system severity index. Through analyzing the IEEE30 system simulation, it proves that the method can effectively identify N-1 and N-k contingency risks.
View Full Text   View/Add Comment  Download reader
Close
  • Home
  • About Journal
    • Historical evolution
    • Journal Honors
  • Editorial Board
    • Members of Committee
    • Director of the Committee
    • President and Editor in chief
  • Submission Guide
    • Instructions for Authors
    • Manuscript Processing Flow
    • Model Text
    • Procedures for Submission
  • Academic Influence
  • Open Access
  • Ethics&Policies
    • Publication Ethics Statement
    • Peer Review Process
    • Academic Misconduct Identification and Treatment
    • Advertising and Marketing
    • Correction and Retraction
    • Conflict of Interest
    • Authorship & Copyright
  • Contact Us
  • 中文页面
Address: No.2000, Chuangxin Road, Songbei District, Harbin, China    Zip code: 150028
E-mail: dcyb@vip.163.com    Telephone: 0451-86611021
© 2012 Electrical Measurement & Instrumentation
黑ICP备11006624号-1
Support:Beijing Qinyun Technology Development Co., Ltd