DocumentCode :
1693196
Title :
A novel algorithm for distribution network reconfiguration based on evolutionary programming
Author :
Zhang Bingda ; Yang, Liu
Author_Institution :
Key Lab. of Power Syst. Simulation & Control, Tianjin Univ., Tianjin, China
Volume :
1
fYear :
2011
Firstpage :
31
Lastpage :
35
Abstract :
Because there are slow evolutionary process and difficult smooth convergence in evolutionary programming algorithm, a mutation operator for distribution network reconfiguration is proposed. In order to guarantee that new individuals from mutation is close to the optimal individual actively, times of topology restructure should be inversely proportional to evolutionary generations, and both selection operators for switch to open and to close should be set in the process of topology restructure. Simplified calculation methods of power loss of network, quadratic load moment and selection operators are given. The feasibility of method proposed above is verified in the system of the operation optimization and the assistant decision of the 10kV distribution network, which is located in Shangqiu power supply bureau, Henan Province.
Keywords :
convergence; evolutionary computation; losses; mathematical operators; power distribution economics; Shangqiu power supply; distribution network reconfiguration; evolutionary programming; mutation operator; operation optimization; power loss; quadratic load moment; selection operator; smooth convergence; topology restructure; voltage 10 kV; Equations; Load flow analysis; Programming; Switches; Topology; branch exchange algorithm; distribution network reconfiguration; evolutionary programming; mutation operator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Power System Automation and Protection (APAP), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-9622-8
Type :
conf
DOI :
10.1109/APAP.2011.6180380
Filename :
6180380
Link To Document :
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