A hybrid neuro-fuzzy power system stabilizer for multimachine power systems

• Published in: IEEE transactions on power systems Vol. 13; no. 4; pp. 1323 - 1330
• Main Authors: Abido, M.A., Abdel-Magid, Y.L.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.11.1998; Institute of Electrical and Electronics Engineers
• Subjects: Adaptive control; Applied sciences; Automata. Logic controller; Computer science; control theory; systems; Control theory. Systems; Disturbances. Regulation. Protection; Electric, optical and optoelectronic circuits; Electrical engineering. Electrical power engineering; Electrical power engineering; Electronics; Exact sciences and technology; Fuzzy logic; Fuzzy systems; Hybrid power systems; Minerals; Neural networks; Petroleum; Power networks and lines; Power system dynamics; Power system modeling; Power system stability; Fuzzy logic; Multimachine power system; Electric power; Stabilization system; Neural network; Experimental study; Hybrid system
• ISSN: 0885-8950
• DOI: 10.1109/59.736272

A fuzzy basis function network (FBFN) based power system stabilizer (PSS) is presented in this paper to improve power system dynamic stability. The proposed FBFN based PSS provides a natural framework for combining numerical and linguistic information in a uniform fashion. The proposed FBFN is trained over a wide range of operating conditions in order to re-tune the PSS parameters in real-time based on machine loading conditions. The orthogonal least squares (OLS) learning algorithm is developed for designing an adequate and parsimonious FBFN model. Time domain simulations of a single machine infinite bus system and a multimachine power system subject to major disturbances are investigated. The performance of the proposed FBFN PSS is compared with that of conventional (CPSS). The results show the capability of the proposed FBFN PSS to enhance the system damping of local modes of oscillations over a wide range of operating conditions. The decentralized nature of the proposed FBFN PSS makes it easy to install and tune.