Reactive power optimization of distribution network based on GA with simulated annealing selection

Author

Zhou Shan ; Liu Wen-zhou ; Cai Chang-qing ; Zhang Li

Author_Institution

Changchun Inst. of Technol., Changchun, China

fYear

2011

fDate

3-5 Aug. 2011

Firstpage

1054

Lastpage

1057

Abstract

The simulated annealing receiving Metropolis norm as individual replacement policy used for integrated optimization of reactive power of distribution network, establish mathematical models of integrated optimization of reactive power considering comprehensively network loss and minimum voltage deviation in line with the actual distribution network, programming application program, by the evidence of IEEE6 nodes distribution network results, improve the simulated annealing and selection of genetic algorithm so as to meet the basic requirements for distribution network Reactive Power Planning, achieve the optimization of reactive power compensation.

Keywords

genetic algorithms; power distribution planning; reactive power; simulated annealing; GA; IEEE6 nodes; distribution network; distribution network reactive power planning; genetic algorithm; mathematical models; minimum voltage deviation; reactive power compensation; reactive power optimization; simulated annealing selection; Annealing; Genetic algorithms; Planning; Reactive power; Simulated annealing; distribution network; genetic algorithms; reactive power optimization; simulated annealing algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Education (ICCSE), 2011 6th International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-9717-1

Type

conf

DOI

10.1109/ICCSE.2011.6028817

Filename

6028817