Local Optimum Embranchment Based Convergence Guarantee Particle Swarm Optimization and Its Application in Transmission Network Planning

This paper summarizes some improved methods of particle swarm optimization (PSO), analyses its critical reasons in convergence dilemma, and then puts forward local optimum embranchment optimization method and local depth optimization method according to the characters of transmission network expansi...

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Bibliographic Details
Main Authors: Yi-Xiong Jin, Hao-Zhong Cheng, Jian-Yong Yan, Li Zhang
Format: Conference Proceeding
Language:English
Subjects:
constructive heuristic algorithm
Convergence of numerical methods
embranchment optimization
Gaussian processes
Genetic mutations
global optimum
Heuristic algorithms
local optimum
Numerical simulation
Optimization methods
Particle swarm optimization
Power grids
Power supplies
power transmission network planning
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Summary:This paper summarizes some improved methods of particle swarm optimization (PSO), analyses its critical reasons in convergence dilemma, and then puts forward local optimum embranchment optimization method and local depth optimization method according to the characters of transmission network expansion planning. Numerical simulation results demonstrate these two methods can not only overcome the convergence dilemma, but also improve the search efficiency and guarantee its local and global search ability simultaneously. These methods also shed new light on other optimization methods
ISSN:2160-8636
2160-8644
DOI:10.1109/TDC.2005.1546847