The research on the hybrid intelligent algorithm to reactive power optimization

Author

Ai, Xin ; Yang, Jun ; Xie, Shengli

Author_Institution

Dept. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing

fYear

2008

fDate

6-9 April 2008

Firstpage

1009

Lastpage

1013

Abstract

In this paper, a new voltage-reactive power optimization method is introduced, which considers the equipment operational cost and confines the number of operated equipment in each optimization. This paper presents a method of reactive power optimization using the hybrid intelligent algorithm (HIA), which is based on IGA and MSCOA, can be easily coded to work on parallel or distributed environment since IGA and MSCOA have the characteristic of parallelization. The hybrid intelligent algorithm is applied to the IEEE 30-bus system and the computing results prove the method of reactive power optimization which is based on the hybrid intelligent algorithm in this paper is effective and valuable in theory and practice.

Keywords

costing; optimisation; reactive power control; IEEE 30-bus system; MSCOA; equipment operational cost; hybrid intelligent algorithm; immune genetic algorithm; voltage-reactive power optimization method; Chaos; Cost function; Genetic algorithms; Hybrid power systems; Optimization methods; Power system security; Reactive power; Reactive power control; Stochastic processes; Voltage; Regional network; hybrid intelligent algorithm(HIA); voltage and reactive power control;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on

Conference_Location

Nanjuing

Print_ISBN

978-7-900714-13-8

Electronic_ISBN

978-7-900714-13-8

Type

conf

DOI

10.1109/DRPT.2008.4523554

Filename

4523554