Title :
Intelligent parallel controller based on fuzzy linguistic rules assessment
Author :
Al-Olimat, Khalid S. ; Ghandakly, Adel A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Ohio Northern Univ., Ada, OH, USA
Abstract :
An intelligent parallel regulator is proposed to improve the performance of electric power systems. The improved stabilizer consists of a conventional power system stabilizer (PSS) working in parallel with a selected adaptive PSS. A fuzzy logic assessment block performs the functional paralleling of the two controllers to achieve a desired performance. The effectiveness of the proposed stabilizer is demonstrated through simulation studies for selected different operating conditions
Keywords :
fuzzy logic; fuzzy set theory; intelligent control; power system control; power system stability; self-adjusting systems; adaptive power system stabilizer; fuzzy linguistic rules assessment; intelligent parallel controller; Automatic control; Control systems; Educational institutions; Fuzzy control; Fuzzy logic; Fuzzy sets; Power engineering and energy; Power system simulation; Regulators; Signal processing;
Conference_Titel :
System Theory, 2001. Proceedings of the 33rd Southeastern Symposium on
Conference_Location :
Athens, OH
Print_ISBN :
0-7803-6661-1
DOI :
10.1109/SSST.2001.918546
