Optimal Reactive Power Optimization by Ant Colony Search Algorithm

Author

Oumarou, Ibrahim ; Jiang, Daozhuo ; Yijia, Cao

Author_Institution

Coll. of Eletrcal Eng., Zhejiang Univ., Hangzhou, China

Volume

3

fYear

2009

fDate

14-16 Aug. 2009

Firstpage

50

Lastpage

55

Abstract

The paper presents an Ant Colony Search Algorithm (ACSA) for optimal reactive power optimization and voltage control of power systems. ACSA is a new co-operative agents´ approach, which is inspired by the observation of the behavior of real ant colonies on the topic of ant trial formation and foraging methods. Hence, in the ACSA a set of co-operative agents called Â¿AntsÂ¿ co-operates to find better solution for reactive power optimization problem. To analyze the efficiency and effectiveness of this search algorithms,the proposed methods is applied to the IEEE 30, 57, 191(practical) test bus system and the results are compared to those of conventional mathematical methods, genetic algorithm and adaptive genetic algorithm.

Keywords

optimisation; power systems; reactive power control; search problems; voltage control; IEEE 191; IEEE 30; IEEE 57; ant colony search algorithm; cooperative agents; optimal reactive power optimization; power systems; test bus system; voltage control; Ant colony optimization; Costs; Genetic algorithms; Optimization methods; Power generation; Power systems; Propagation losses; Reactive power; Reactive power control; Voltage control; Ant colony Search Algorithm; Genetic Algorithm; Reactive Power Optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2009. ICNC '09. Fifth International Conference on

Conference_Location

Tianjin

Print_ISBN

978-0-7695-3736-8

Type

conf

DOI

10.1109/ICNC.2009.602

Filename

5363847