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《Transactions of China Electrotechnical Society》 2008-02
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Improved Particle Swarm Optimization Method and Its Application in the Siting and Sizing of Distributed Generation Planning

Liu Bo Zhang Yan Yang Na (Shanghai Jiaotong University Shanghai 200240 China)  
This paper analyses the influence of network loss when distribution generation (DG) access to distribution network, and presents a new algorithm to optimize the site and size of DG based on integrating the use of simulated annealing (SA) and particle swarm optimal (PSO) algorithm. The purposed algorithm is to find how much distribution network loss can be further reduced. With two examples the superiority of the proposed algorithm is demonstrated in comparison with the genetic algorithms and simulated annealing algorithm. 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.
【CateGory Index】: TM715
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