Using immune genetic algorithm to optimize the reactive power

Huang, Wei, Hu, Eric and Ghamami, Khayam 2004, Using immune genetic algorithm to optimize the reactive power, in AUPEC 2004 : Australasian Universities Power Engineering Conference Brisbane, Australia, University of Queensland, School of Information Technology & Electrical Engineering, Brisbane, Qld, pp. 1-8.

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Title Using immune genetic algorithm to optimize the reactive power
Author(s) Huang, Wei
Hu, Eric
Ghamami, Khayam
Conference name AUPEC : Australasian Universities Power Engineering Conference (2004 : Brisbane, Australia)
Conference location Brisbane, Australia
Conference dates 26-29 September 2004
Title of proceedings AUPEC 2004 : Australasian Universities Power Engineering Conference Brisbane, Australia
Editor(s) Saha, Tapan
Publication date 2004
Start page 1
End page 8
Publisher University of Queensland, School of Information Technology & Electrical Engineering
Place of publication Brisbane, Qld
Summary A novel algorithm, immune genetic algorithm (IGA) is proposed for reactive power optimization of power system. While retaining excellent characteristics of genetic algorithm (GA), through imitating the biological immune system, the algorithm evaluates and selects the optimal solutions by the affinities between antigens and antibodies. With the regulation of the activating and suppressing of antibodies, IGA can achieve the dynamic balance between individual diversity and population convergence, and avoid getting into the local optimal solution. The proposed IGA is applied to the IEEE 30-bus system, and the results show that it is superior to the GA with good population convergence and fast computing speed.
ISBN 1864997753
9781864997750
Language eng
Field of Research 090699 Electrical and Electronic Engineering not elsewhere classified
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30009647

Document type: Conference Paper
Collection: School of Engineering and Technology
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