Designing power system stabilizer for multimachine power system using neuro-fuzzy algorithm

• Main Authors: Othman, M. F., Mahfouf, M., Linkens, D. A.
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2001
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/1487/1/JT35D5.pdf; http://eprints.utm.my/id/eprint/1487/
• Institution: Universiti Teknologi Malaysia

This paper describes a design procedure for a fuzzy logic based power system stabilizer (FLPSS) and adaptive neuro-fuzzy inference system (ANFIS) and investigates their robustness for a multi-machine power system. Speed deviation of a machine and its derivative are chosen as the input signals to the FLPSS. A four-machine and a two-area power system is used as the case study. Computer simulations for the test system subjected to transient disturbances i.e. a three phase fault, were carried out and the results showed that the proposed controller is able to prove its effectiveness and improve the system damping when compared to a conventional lead-lag based power system stabilizer controller.