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An Improved Particle Swarm Optimization Method Based on Borderline Search Strategy for Transmission Network Expansion Planning

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4 Author(s)
Dong-xiao Niu ; Sch. of Bus. & Adm., North China Electr. Power Univ., Baoding ; Yun-Peng Ling ; Qi Zhao ; Qing-Ying Zhao

To solve the problem of network expansion, an improved particle swarm optimization algorithm (PSO) is proposed in this paper. This method initialized the particle swarm according to borderline search mind, made the initialized particle near the safety line, overcomes the defect of the uncertainty in the rational distribution of particle initialization, optimizing the range of the initialization. Numerical simulation results of power transmission network planning demonstrate the feasibility and efficiency of this method, and shed new light on the further improving of PSO

Published in:

Machine Learning and Cybernetics, 2006 International Conference on

Date of Conference:

13-16 Aug. 2006