Title :
Application of Improved Partheno-Genetic Algorithm in Distribution Network Switch Optimal Planning
Author :
Junhong, Chen ; Junxiang, Hu ; Xunyan, Zhen
Author_Institution :
Hebei Agric. Univ., Baoding, China
Abstract :
Distribution Network Switch optimal planning can improve security and economy of power system and exert the potentiality of existing Distribution Network, which has great economic and social benefits. Combination the characteristics of Distribution Network switch optimal, Improved Partheno-Genetic Algorithm based on Niche technique is put forward to optimize the mummer and location of Distribution Network switch in this paper. Make use of Niche technique search all local optimal solution to get global optimal solution and speed up the search speed. The simulation results have indicated that Improved Partheno-genetic Algorithm is validity and feasibility, which also can be used in many practical domains.
Keywords :
distribution networks; genetic algorithms; power system planning; power system security; Niche technique; distribution network switch optimal planning; partheno-genetic algorithm; power system economy; power system security; Algorithm design and analysis; Genetics; Investments; Maintenance engineering; Planning; Reliability; Switches; Distribution network Switch; Improved Partheno-Genetic Algorithm; Niche technique; optimal planning;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
DOI :
10.1109/iCECE.2010.121