DocumentCode :
2739425
Title :
A Survey on Application of Swarm Intelligence Computation to Electric Power System
Author :
Bai, Hua ; Zhao, Bo
Author_Institution :
Dept. of Electr. Eng., Zhejiang Univ., Hangzhou
Volume :
2
fYear :
0
fDate :
0-0 0
Firstpage :
7587
Lastpage :
7591
Abstract :
Swarm intelligence computation is becoming an important topic in the field of artificial intelligence, and is successfully applied in a lot of fields, which is indicating fairly great potential for development. Recently, there are abundant reports on its practical applications in power system. In this paper, on the basis of describing three typical swarm intelligence algorithms: ant colony optimization, particle swarm optimization and population-based immune algorithm, the current research situation of the applications in the fields of economic dispatch of power system, unit commitment, reactive power optimization dispatch, generation expansion planning, capacitor placement, short-term load forecasting and optimal design is summarized. Finally, the central research directions of swarm intelligence computation in the future are proposed
Keywords :
artificial life; load forecasting; particle swarm optimisation; power engineering computing; power generation planning; power system economics; reactive power; ant colony optimization; artificial intelligence; capacitor placement; economic dispatch; electric power system; generation expansion planning; optimal design; particle swarm optimization; population-based immune algorithm; reactive power optimization dispatch; short-term load forecasting; swarm intelligence computation; Ant colony optimization; Artificial intelligence; Design optimization; Economic forecasting; Particle swarm optimization; Power generation; Power generation economics; Power system economics; Power system planning; Reactive power; Ant colony optimization; Particle swarm optimization; Population-based immune algorithm; Power system; Swarm intelligence computation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1713441
Filename :
1713441
Link To Document :
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