Congestion management based on particle swarm optimization

Author

Chen, Zhi Xu ; Zhang, Li zi ; Shu, Jun

Author_Institution

North China Electr. Power Univ., Beijing

fYear

2005

fDate

Nov. 29 2005-Dec. 2 2005

Firstpage

1019

Abstract

After analyzing the regulation of North East China electricity market and the constraint of safe operation of unit and transmission grid, this paper proposes a congestion management model that is appropriate for power pool. PSO (particle swarm optimizer) is introduced to solve the complex nonlinear model. The results caused by different PSO parameters are analyzed through using IEEE30 bus system. As shown in the results, relief congestion using PSO is proved to be effective, which excels curtailment congestion using interior point method and genetic algorithm

Keywords

genetic algorithms; particle swarm optimisation; power markets; power system economics; power system management; IEEE30 bus system; North East China electricity market; congestion management; curtailment congestion; genetic algorithm; interior point method; particle swarm optimization; power pool; transmission grid; Contracts; Electricity supply industry; Energy management; Load flow; Particle swarm optimization; Power generation economics; Power system management; Power system modeling; Power system reliability; Power transmission lines; Genetic Algorithm; PSO; congestion management; double fitness value; electricity market; interior point method;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Conference, 2005. IPEC 2005. The 7th International

Conference_Location

Singapore

Print_ISBN

981-05-5702-7

Type

conf

DOI

10.1109/IPEC.2005.207057

Filename

1627346