Fuzzy Stabilization of Power Systems in a Co-Generation Scheme Subject to Random Abrupt Variations of Operating Conditions

• Published in: IEEE transactions on control systems technology Vol. 15; no. 2; pp. 384 - 393
• Main Authors: Arrifano, N.S.D., Oliveira, V.A., Ramos, R.A., Bretas, N.G., Oliveira, R.V.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.03.2007; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Automatic control; Co-generation; Computer science; control theory; systems; Computer simulation; Control systems; Control theory. Systems; Electrical engineering. Electrical power engineering; Electrical machines; Exact sciences and technology; Fluctuation; Fluctuations; Fuzzy; fuzzy logic control; Fuzzy systems; Industrial plants; Industrial power systems; linear matrix inequalities; Manufacturing engineering; Markovian jumps; Mathematical models; Oscillations; Power system control; Power system modeling; Power system simulation; power system stabilizers (PSSs); Power systems; Regulation and control; Voltage regulators; Markov process; Industrial power system; Fuzzy system; Probabilistic approach; Co-generation; Stabilization; power system stabilizers (PSSs); Modeling; Operating conditions; Fuzzy logic; Fuzzy control; Control constraint; linear matrix inequalities; Model reference adaptive control systems; Voltage; Logic control; Linear matrix inequality; Engine control; Jump process; Markovian jumps; fuzzy logic control; Single machine
• ISSN: 1063-6536; 1558-0865
• DOI: 10.1109/TCST.2006.886443

In this brief, a new stabilizing controller for the power system of an industrial plant operating in a co-generation scheme is proposed. The main source of perturbations considered in the operating conditions are random abrupt fluctuations in the local load, corresponding to the industrial processes being turned on and/or off. These fluctuations are described as Markovian jumps in the parameters of the power system. The proposed controller follows a standard structure which combines an automatic voltage regulator with a supplementary stabilizing term. This term is obtained with a fuzzy-model-based control technique formulated in the context of linear matrix inequalities under damping and control input constraints. Simulations performed on both a single-machine infinite-bus model and on a multimachine model show the effectiveness of the proposed fuzzy control strategy in reducing the oscillations as well as in maintaining a desired operating condition