Title :
A GA-Fuzzy Automatic Generation Controller for interconnected power systems
Author :
Boesack, Craig D. ; Marwal, Tshilidzi ; Nelwamondo, Fulufhelo V.
Author_Institution :
Sch. of Electr. & Inf. Eng., Univ. of the Witwatersrand, Johannesburg, South Africa
Abstract :
This paper presents a GA-Fuzzy Automatic Generation Controller for large interconnected power systems. The design of Fuzzy Logic Controllers by means of expert knowledge have typically been the traditional design norm, however, this may not yield optimal performance. Therefore, genetic algorithms are used to design and optimize the fuzzy controller as applied to the Automatic Generation Control problem of large power systems.
Keywords :
control system synthesis; fuzzy control; genetic algorithms; power generation control; power system interconnection; GA-fuzzy automatic generation controller; design norm; fuzzy controller design; fuzzy controller optimization; fuzzy logic controllers; genetic algorithms; large interconnected power systems; Automatic generation control; Frequency control; Fuzzy logic; Genetic algorithms; Genetics; Power system stability; Robustness; Automatic generation control; genetic algorithms; interconnected power systems;
Conference_Titel :
Advanced Computational Intelligence (IWACI), 2011 Fourth International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-61284-374-2
DOI :
10.1109/IWACI.2011.6160102
