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

Author

Niu, Dong-xiao ; Ling, Yun-peng ; Zhao, Qi ; Zhao, Qing-ying

Author_Institution

Sch. of Bus. & Adm., North China Electr. Power Univ., Baoding

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

2846

Lastpage

2850

Abstract

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

Keywords

particle swarm optimisation; power transmission planning; power transmission reliability; search problems; borderline search strategy; particle swarm optimization; power transmission network expansion planning; Convergence; Cybernetics; Electronic mail; Genetic algorithms; Machine learning; Numerical simulation; Optimization methods; Particle swarm optimization; Safety; Strategic planning; Uncertainty; Borderline search strategy; Particle swarm optimization algorithm; Transmission network expansion planning;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.259067

Filename

4028546