DocumentCode
403271
Title
Intelligent computational methods for power systems optimization problems
Author
Pahwa, A. ; Chavali, S. ; Das, S.
Author_Institution
Dept. of Electr. & Comput. Eng., Kansas State Libr., Manhattan, KS, USA
Volume
1
fYear
2003
fDate
13-17 July 2003
Abstract
Many power systems problems require optimization of an objective. Several of these problems are combinatorial and thus they have a discrete objective function. Various intelligent computational methods, some derived from nature, were used to solve such problems. This presentation provides a brief introduction to various intelligent computational methods. Results obtained for an example problem using a genetic algorithm and an ant colony optimization approach is presented and compared.
Keywords
genetic algorithms; power system planning; ant colony optimization approach; discrete objective function; genetic algorithm; intelligent computational methods; power systems optimization problems; system planning; Ant colony optimization; Computational intelligence; Computational modeling; Genetic algorithms; Optimization methods; Power system planning; Power system reliability; Power systems; Simulated annealing; Solids;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society General Meeting, 2003, IEEE
Print_ISBN
0-7803-7989-6
Type
conf
DOI
10.1109/PES.2003.1267153
Filename
1267153
Link To Document