Computer Science ›› 2015, Vol. 42 ›› Issue (Z11): 16-18.

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Multi-objective Siting and Sizing of Distributed Generation Planning Based on Improved Particle Swarm Optimization Algorithm

ZHOU Yang, XU Wei-sheng, WANG Ning and SHAO Wei-hui   

  • Online:2018-11-14 Published:2018-11-14

Abstract: By analyzing the impact of the distributed generations(DGs) on the distribution network,a method was built for siting and sizing of DGs in the distribution network.Comprehensively considering three indices of active power losses,voltage quality and DG capacity,the paper presented an improved particle swarm optimization algorithm for multi-objective optimization based on fuzzy theory.The proposed method was testified on IEEE 14-node system achieved by MATLAB.Simulation results show that the solving algorithm has high capability of global search and better convergence rate.The feasibility and effectiveness of the method and the algorithm were finally evaluated through comparative analysis.

Key words: Distributed generations,Siting and sizing,Particle swarm optimization,Multi-objective optimization

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