Applications of evolutionary computation in electric power systems

Author

Alves da Silva, Alexandre P. ; Abrão, Pedro José

Author_Institution

Fed. Eng. Sch., Itajuba, Brazil

Volume

2

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

1057

Lastpage

1062

Abstract

This survey covers the broad area of evolutionary computation applications to optimization, model identification, and control in power systems. Due to space limitation, all reviewed papers have been selected since 1996, from IEEE Transactions only. A total of 85 articles are listed in this survey. It shows the development of the area and identifies current trends. The following techniques are considered under the scope of evolutionary computation: evolutionary algorithms (e.g., genetic algorithms, evolution strategies, evolutionary programming, and genetic programming), simulated annealing, tabu search, and particle swarm optimization

Keywords

evolutionary computation; optimisation; power system analysis computing; power system control; power system identification; search problems; IEEE Transactions; control; evolution strategies; evolutionary algorithms; evolutionary computation; evolutionary programming; genetic algorithms; genetic programming; model identification; optimization; particle swarm optimization; power systems; simulated annealing; tabu search; Computational modeling; Control system synthesis; Evolutionary computation; Genetic algorithms; Genetic programming; Particle swarm optimization; Power system control; Power system modeling; Power systems; Simulated annealing;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-7282-4

Type

conf

DOI

10.1109/CEC.2002.1004389

Filename

1004389