Title :
Reactive power optimization of distribution network based on improved artificial fish swarm algorithm
Author :
Yuan, Yuan ; Hong, Zhu ; Ming, Zhang ; Hongqin, Zhu ; Xuyan, Wang ; He, Wang ; Jincao, Chen ; Junfang, Zhang
Author_Institution :
Dispatch Center, Nanjing Power Supply, Nanjing, China
Abstract :
The hybrid artificial fish swarm optimization algorithm based on mutation operator and simulated annealing algorithm (MAFSA) is studied and improved. The mutation operator was improved and a method for tentative determining of mutation probability was presented in improved MAFSA (IMAFSA). Besides, economic and security objective function is also applied to improve the model of reactive power optimization of distribution network. The result obtained from simulated calculation in real distribution network shows that the IMAFSA applied in reactive power optimization of distribution network is reasonable and feasible.
Keywords :
distribution networks; reactive power; simulated annealing; artificial fish swarm algorithm; distribution network; mutation operator; mutation probability; reactive power optimization; simulated annealing algorithm; Annealing; Automation; Biological system modeling; Artificial fish swarm algorithm; Distribution network; Mutation operator; Reactive power optimization;
Conference_Titel :
Electricity Distribution (CICED), 2010 China International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4577-0066-8
