Title :
Intelligent optimization algorithm for the locating and sizing of distributed generation planning
Author :
Liu, Bo ; Yuan, Zhiqiang ; Bao, Hailong
Author_Institution :
Shanghai Electr. Power Design Inst. Co., Ltd., Shanghai, China
Abstract :
This paper analyses the influence of network loss when distribution generation (DG) access to distribution network, and presents an intelligent optimization algorithm to optimize the locating and sizing of DG based on modified particle swarm optimal (PSO) algorithm. The purposed algorithm is to find how much distribution network loss can be further reduced. With an example the superiority of the proposed algorithm is demonstrated in comparison with the genetic algorithms. The calculation results show that the proposed algorithm to solve the problem of distributed generation planning has strong global search ability and rapid convergence speed.
Keywords :
genetic algorithms; power distribution planning; power generation planning; distributed generation planning; distribution network loss; genetic algorithms; global search ability; intelligent optimization algorithm; modified particle swarm optimal algorithm; rapid convergence speed; Annealing; Convergence; Gallium; Optimization; Reliability; Substations; Distribution generation; distribution network; intelligent optimization algorithm; locating and Sizing;
Conference_Titel :
Electricity Distribution (CICED), 2010 China International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4577-0066-8