Title :
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
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;
Conference_Titel :
Power Electronics and Intelligent Transportation System (PEITS), 2009 2nd International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-4544-8
DOI :
10.1109/PEITS.2009.5406930