Journal of South China University of Technology (Natural Science Edition) ›› 2016, Vol. 44 ›› Issue (8): 39-46.doi: 10.3969/j.issn.1000-565X.2016.08.007

• Power & Electrical Engineering • Previous Articles     Next Articles

Electricity-Saving Classification Method of Area Substations Based on Fuzzy Clustering

OUYANG Sen GAO Man-man YANG Jia-hao WANG Ke-ying   

  1. School of Electric Power,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2015-09-24 Revised:2015-12-16 Online:2016-08-25 Published:2016-07-04
  • Contact: 欧阳森( 1974-) ,男,博士,副研究员,主要从事电能质量、节能技术、智能电器等的研究. E-mail:ouyangs@scut.edu.cn
  • About author:欧阳森( 1974-) ,男,博士,副研究员,主要从事电能质量、节能技术、智能电器等的研究.
  • Supported by:
    Supported by the National Natural Science Foundation of China ( NSFC) ( 51377060) the Natural Science Foundation of Guangdong Province( 2016A030313476)

Abstract: Area substations are numerous and diverse,and they have complex line loss and electricity-saving features.In order to effectively investigate the electricity-saving of area substations and scientifically classify area substations,an electricity-saving classification method of area substations is proposed based on the fuzzy c-means clustering.In the method,first,a comprehensive index system is designed for the electricity-saving classification,which includes the basic property index sub system and the electrical property index sub system.The basic property index sub system covers the basic parameters of substations,such as the capacity and number of main transformers.The electrical property index sub system covers the electrical parameters of substations,such as the transport capacity and the electricity consumption.Next,according to the influence of each index on the loss and electricity-saving features of the substations,the index weights are determined by means of the analytic hierarchy process ( AHP) ,and an electricity-saving classification model of the substations is constructed based on AHP-FCM.Then,numerous area substations are classified into several categories respectively by utilizing the designed comprehensive index system,the basic property index sub system and the electrical property index sub system.Moreover,the indepth understanding of the loss and comprehensive electricity-saving features of the substations are obtained by analyzing and comparing three kinds of electricity-saving classification results and the corresponding clustering results,which can provide guidance for the follow-up studies.Finally,the feasibility and effectiveness of the proposed method are verified by analyzing the actual data of 90 transformer substations.

Key words: fuzzy clustering, analytic hierarchy process, index system for electricity-saving classification, area substation

CLC Number: