Dynamic reconfiguration of distribution network based on improved optimal fuzzy C-means clustering and improved harmony search algorithm
Published:2015-06-10
author:ZHOU Jie-jie1,QUE Ling-yan2,WANG Liang-yi3,LU Min2,GUO Chuang-xin1
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Dynamic reconfiguration of distribution network based
on improved optimal fuzzy C-means clustering and
improved harmony search algorithm
ZHOU Jie-jie1,QUE Ling-yan2,WANG Liang-yi3,LU Min2,GUO Chuang-xin1
(1. School of Electrical Engineering,Zhejiang University,Hangzhou 310027,China;
2. State Grid Zhejiang Electric Power Company,Hangzhou 310000,China;
3. State Grid Chongqing Electric Power Company,Chongqing 404100,China)
Abstract:Aiming at the constraint of operation times of all switches and the inefficiency of harmony search algorithm,the improved
optimal fuzzy C-means clustering technology and the improved harmony search algorithm were proposed. The former was applied to
classify the operation state in a time interval according to load data that the dynamic reconfiguration of distribution network was converted
to the multiple static reconfigurations that take the corresponding cluster center as the representative load. The latter was applied to solve
the static reconfiguration. The optimal network structure at any time was determined by the corresponding cluster center's reconfiguration
result,at the same time,the reconfiguration time and the operated switches were known. On the basis of IEEE-33bus system's load data,
one day's load data was constructed and the dynamic reconfiguration was carried out. The results indicate that the proposed method can
strictly limit operation times of switches and improve the efficiency of harmony search algorithm.
Key words:distribution network;dynamic reconfiguration;improved optimal fuzzy clustering;improved harmony search algorithm