DocumentCode :
3323513
Title :
Tutorial on Intelligent Optimization and Control for Power Systems: An Introduction
Author :
Lee, Kwang Y.
Author_Institution :
Power Syst. Control Lab., Pennsylvania State Univ., University Park, PA
fYear :
2005
fDate :
6-10 Nov. 2005
Firstpage :
2
Lastpage :
5
Abstract :
The purpose of this tutorial is to provide with basic knowledge of recent advances in intelligent optimization and control techniques, and how they are combined with knowledge elements in computational intelligence systems. Applications to power problems are stressed, and example applications are presented. The tutorial is composed of three parts: The first part gives an overview of particle swarm optimization and ant colony search algorithm. The second part deals with differential evolution and Pareto multi objective optimization. Finally, the third part covers neural dynamic programming and adaptive critic design technique
Keywords :
Pareto optimisation; artificial life; dynamic programming; particle swarm optimisation; power system control; search problems; Pareto multiobjective optimization; adaptive critic design; ant colony search; computational intelligence systems; differential evolution; intelligent control; intelligent optimization; neural dynamic programming; particle swarm optimization; power systems; Ant colony optimization; Competitive intelligence; Computational intelligence; Control systems; Intelligent control; Pareto optimization; Particle swarm optimization; Power system control; Power systems; Tutorial;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Application to Power Systems, 2005. Proceedings of the 13th International Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
1-59975-174-7
Type :
conf
DOI :
10.1109/ISAP.2005.1599235
Filename :
1599235
Link To Document :
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