Boesack, CDMarwal, TNelwamondo, Fulufhelo V2012-04-162012-04-162011-10Boesack, CD, Marwal, T and Nelwamondo, FV. A GA-fuzzy automatic generation controller for interconnected power system. 4th International Workshop on Advanced Computational Intelligence (IWACI 2011), Wuhan, Hubei, China, 19-21 October 2011978-1-61284-375-9http://ieeexplore.ieee.org/application/enterprise/entconfirmation.jsp?arnumber=06160102http://hdl.handle.net/10204/57634th International Workshop on Advanced Computational Intelligence (IWACI 2011), Wuhan, Hubei, China, 19-21 October 2011. This is an ABSTRACT ONLY.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.enAutomatic generation controlInterconnected power systemsGenetic algorithmsFuzzy logic controllersPower systemsConference PresentationBoesack, C., Marwal, T., & Nelwamondo, F. V. (2011). A GA-fuzzy automatic generation controller for interconnected power system. IEEE. http://hdl.handle.net/10204/5763Boesack, CD, T Marwal, and Fulufhelo V Nelwamondo. "A GA-fuzzy automatic generation controller for interconnected power system." (2011): http://hdl.handle.net/10204/5763Boesack C, Marwal T, Nelwamondo FV, A GA-fuzzy automatic generation controller for interconnected power system; IEEE; 2011. http://hdl.handle.net/10204/5763 .TY - Conference Presentation AU - Boesack, CD AU - Marwal, T AU - Nelwamondo, Fulufhelo V AB - 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. DA - 2011-10 DB - ResearchSpace DP - CSIR KW - Automatic generation control KW - Interconnected power systems KW - Genetic algorithms KW - Fuzzy logic controllers KW - Power systems LK - https://researchspace.csir.co.za PY - 2011 SM - 978-1-61284-375-9 T1 - A GA-fuzzy automatic generation controller for interconnected power system TI - A GA-fuzzy automatic generation controller for interconnected power system UR - http://hdl.handle.net/10204/5763 ER -