Power Network Decomposition with New Ant Colony Optimization

Author

Mori, Hiroyuki ; Komatsu, Yubun

Author_Institution

Dept. of Electr. & Electron. Eng., Meiji Univ., Kawasaki

fYear

2006

fDate

11-15 June 2006

Firstpage

1

Lastpage

6

Abstract

In this paper, a new method is proposed for power network decomposition. The proposed method is based on ant colony optimization (ACO) that is one of meta-heuristics. In recent years, power systems become more complicated due to the emergence of the deregulated power market. As a result, there is a trend that the decentralized control scheme should be implemented to smooth power system operation and control. This paper proposes an efficient power network decomposition method to realize decentralized voltage and reactive power control with ACO. It is base on swarm intelligence that a set of agents evaluates better solutions. The heuristics of node connections is introduced into the ACO algorithms. The proposed method is successfully applied to the IEEE 118-node system

Keywords

decentralised control; particle swarm optimisation; power system control; reactive power control; voltage control; ACO; IEEE 118-node system; ant colony optimization; decentralized voltage control; meta-heuristics; power market; power network decomposition; power system control; power system operation; reactive power control; swarm intelligence; Ant colony optimization; Distributed control; Iterative algorithms; Optimization methods; Particle swarm optimization; Power markets; Power system planning; Power system simulation; Power systems; Reactive power control; Ant colony optimization; decentralized control; meta-heuristics; power network decomposition; swarm intelligence;

fLanguage

English

Publisher

ieee

Conference_Titel

Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on

Conference_Location

Stockholm

Print_ISBN

978-91-7178-585-5

Type

conf

DOI

10.1109/PMAPS.2006.360248

Filename

4202260