A self-tuning generalized predictive power system stabilizer

• Published in: International journal of electrical power & energy systems Vol. 20; no. 3; pp. 213 - 219
• Main Authors: Barreiros, J.A.L., e Silva, A.S., Simões Costa, A.J.A.
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.03.1998; Elsevier
• Subjects: adaptive control; Applied sciences; Disturbances. Regulation. Protection; Electrical engineering. Electrical power engineering; Electrical power engineering; Exact sciences and technology; generalized predictive control; Power networks and lines; power system stabilizer; adaptive control; power system stabilizer; generalized predictive control; Brazil; Computer simulation; Electric power systems; Least squares method; Adaptive control; Dynamic stability
• ISSN: 0142-0615; 1879-3517
• DOI: 10.1016/S0142-0615(97)00049-5

This paper presents a new self-tuning stabilizer for enhancement of the dynamic stability in power systems. An adaptive control algorithm tracks the system operating conditions by using a least-squares identification technique and the controller is synthesized via a generalized predictive control scheme. The stabilizer proposed is evaluated by computer simulation of a single-machine system and the influence of its main design parameters is analysed. The same scheme is then applied to a multi-machine equivalent of the Southern Brazil power system. The results obtained in the simulation tests for both systems indicate that the proposed scheme can be applied to synthesize power system stabilizers.