DocumentCode
1777685
Title
Industrial enterprise distribution network planning based on multiple population genetic algorithm
Author
Lei Yang ; Shiqing Li ; Nan Xiong ; Sanmin Xu
Author_Institution
Inst. of Electr. Eng., Beijing, China
fYear
2014
fDate
20-22 Oct. 2014
Firstpage
550
Lastpage
555
Abstract
In the view of existing contradiction between solving current problems and long-term planning in the industrial enterprise distribution network, the paper has combined recent planning and long-term planning and constructed mathematical model of multi objectives and multi constraints. A multi population genetic algorithm is adopted to solve the model. It can not only enhance the global search ability but also improve the convergence speed and prevent the premature problem. In the process of solving, we use graph theory to repair infeasible solutions and ensure the feasibility of the solution. Results of the example show that the performance of the proposed method is excellent.
Keywords
genetic algorithms; power distribution planning; industrial enterprise distribution network planning; long term planning; multiconstraint optimization; multiobjective optimization; multiple population genetic algorithm; Genetic algorithms; Maintenance engineering; Mathematical model; Planning; Power systems; Sociology; Statistics; Distribution net work planning; Industrial enterprise; Multi objective and multi constrains; Multi population genetic algorithm; Radiation network;
fLanguage
English
Publisher
ieee
Conference_Titel
Power System Technology (POWERCON), 2014 International Conference on
Conference_Location
Chengdu
Type
conf
DOI
10.1109/POWERCON.2014.6993762
Filename
6993762
Link To Document