Study on distribution network reconfiguration based on genetic simulated annealing algorithm

Author

Zhigang, Ma

Author_Institution

Huizhou Power Supply Bur. of Guangdong Power Grid Corp., Huizhou, China

fYear

2008

fDate

10-13 Dec. 2008

Firstpage

1

Lastpage

7

Abstract

The article studies on the application of genetic simulated annealing algorithm in power distribution network reconfiguration. Taking the minimum loss of distribution network as an objective function, the individuals that can not meet the load constraint conditions during reconfiguration will be introduced as penalty functions into the objective function. According to the characteristics of power distribution network, make improvements to fitness function, crossover and mutation in genetic algorithms. Carry out a research on the replication strategy of Metropolis Criteria in simulated annealing algorithm and finally prove the feasibility and validity of this algorithm via a typical example.

Keywords

distribution networks; genetic algorithms; simulated annealing; Metropolis Criteria; distribution network loss; distribution network reconfiguration; genetic algorithms; genetic simulated annealing algorithm; load constraint conditions; power distribution network reconfiguration; Automatic control; Automation; Biological cells; Communication system control; Genetic algorithms; Power generation economics; Power systems; Protection; Simulated annealing; Switches; Genetic simulated annealing algorithm; Network reconfiguration; Power distribution network;

fLanguage

English

Publisher

ieee

Conference_Titel

Electricity Distribution, 2008. CICED 2008. China International Conference on

Conference_Location

Guangzhou

Print_ISBN

978-1-4244-3373-5

Electronic_ISBN

978-1-4244-3372-8

Type

conf

DOI

10.1109/CICED.2008.5211684

Filename

5211684