Title :
Optimization of Capacitor Switching in Distribution Network Based on Improved Genetic Algorithm
Author :
Siqing, Sheng ; Nan, Gao ; Zhigang, Ma ; Jing, Wu
Author_Institution :
Sch. of Electr. & Electr. Eng., North China Electr. Power Univ., Baoding, China
Abstract :
Optimization of capacitor switching is very important in distribution network for its efficiency in reducing power loss of the system. In this paper, improved genetic algorithm is used to find the optimal running state, whose power loss is the minimum. The United States PG&E distribution network is used as an example and the optimization result is efficient.
Keywords :
capacitor switching; distribution networks; genetic algorithms; United States PG&E; capacitor switching; distribution network; genetic algorithm; optimization; power loss; Biological cells; Constraint optimization; Convergence; Evolution (biology); Genetic algorithms; Optimal control; Power system planning; Search methods; Switched capacitor networks; Switches; Improved Genetic Algorithm; capacitor switching; distribution network;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.521
