The decision making method for power purchase and distribution planning with a new adaptive genetic algorithm

Author

Zhang, Guoli ; Wang, Siyan ; Dou, Mingxin

Author_Institution

Coll. of Math. & Phys., North China Electr. Power Univ., Baoding, China

Volume

2

fYear

2009

fDate

19-20 Dec. 2009

Firstpage

168

Lastpage

171

Abstract

In this paper, an improved adaptive genetic algorithm is applied to the proposed power purchase and distribution planning model. The new genetic algorithm adopts new method to get crossover probability. In the late evolutionary stage, there is only mutation operation, crossover probability is zero. Example analysis shows that the new algorithm has good performance in searching the better distribution scheme. It can obtain an excellent distribution scheme for the example which proposed in the paper.

Keywords

distributed decision making; genetic algorithms; power distribution planning; power markets; adaptive genetic algorithm; decision making method; distribution planning model; power purchase; Cities and towns; Costs; Decision making; Educational institutions; Genetic algorithms; Genetic mutations; Intelligent transportation systems; Mathematics; Power generation; Technology planning; crossover; genetic algorithm; mutation; power distribution; power purchase;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics and Intelligent Transportation System (PEITS), 2009 2nd International Conference on

Conference_Location

Shenzhen

Print_ISBN

978-1-4244-4544-8

Type

conf

DOI

10.1109/PEITS.2009.5406930

Filename

5406930