收稿日期: 2014-01-03
修回日期: 2014-01-24
网络出版日期: 2014-05-01
基金资助
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)
Comprehensive Evaluation of Power Quality Based on Self -Organizing Feature Mapping Networks
Received date: 2014-01-03
Revised date: 2014-01-24
Online published: 2014-05-01
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)
付学谦 陈皓勇 蔡润庆 . 基于自组织特征映射网络的电能质量综合评估[J]. 华南理工大学学报(自然科学版), 2014 , 42(6) : 7 -11 . DOI: 10.3969/j.issn.1000-565X.2014.06.002
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.
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