Journal of South China University of Technology (Natural Science Edition) ›› 2014, Vol. 42 ›› Issue (6): 7-11.doi: 10.3969/j.issn.1000-565X.2014.06.002

• Power & Electrical Engineering • Previous Articles     Next Articles

Comprehensive Evaluation of Power Quality Based on Self -Organizing Feature Mapping Networks

Fu Xue- qian Chen Hao- yong Cai Run- qing   

  1. School of Electric Power,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2014-01-03 Revised:2014-01-24 Online:2014-06-25 Published:2014-05-01
  • Contact: 陈皓勇(1975-)，男，教授，博士生导师，主要从事电力市场、智能电网、电力系统优化规划与运行研究 E-mail:eehychen@scut.edu.cn
  • About author:付学谦(1985-)，男，博士生，主要从事电能质量综合评估、分布式电源规划研究．E-mail:fuxueqian@ncepu．edu．cn
  • Supported by:

    国家自然科学基金资助项目(51177049);国家自然科学基金优秀青年科学基金资助项目(51322702)

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Abstract:

Proposed in this paper is a new comprehensive evaluation method of power quality based on self- organi-zing feature mapping (SOFM) networks,which is used to support the multi- level transactions of power quality infuture power market and the comprehensive management of power quality.The authors introduce the model andprinciple of SOFM networks,put forward an SOFM network model for the comprehensive evaluation of power quality,and make a comparison between the proposed evaluation method and several generally- used methods by using thesamples in literatures.The results show that the proposed method is suitable for the comprehensive evaluation ofpower quality and is of great practicability.

Key words: self- organizing feature mapping network, power quality, comprehensive evaluation, grade