Application of differential evolution to power system stabilizer design

In recent years, many Evolutionary Algorithms (EAs) such as Genetic Algorithms (GAs) have been proposed to optimally tune the parameters of the PSS. GAs are population based search methods inspired by the mechanism of evolution and natural genetic. Despite the fact that GAs are robust and have given promising results in many applications, they still have some drawbacks. Some of these drawbacks are related to the problem of genetic drift in GA which restricts the diversity in the population. ... To cope with the above mentioned drawbacks, many variants of GAs have been proposed often tailored to a particular problem. Recently, several simpler and yet effective heuristic algorithms such as Population Based Incremental Learning (PBIL) and Differential Evolution (DE), etc., have received increasing attention.

Grantor dc:publisher.institution

Department of Electrical Engineering

Year dc:date.issued

2012

Author dc:creator

• Mulumba, Tshina Fa

Advisor dc:contributor.advisor

• Folly, Komla A

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/11427/12026

OAI identifier oai:identifier

oai:open.uct.ac.za:11427/12026