Robust decentralized multi-machine power system stabilizer design using quantitative feedback theory |
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| Affiliation: | 1. Institute for Genome Research and Systems Biology, Center for Biotechnology (CeBiTec), Bielefeld University, D-33615 Bielefeld, Germany;2. Faculty of Technology, Center for Biotechnology (CeBiTec), Bielefeld University, D-33615 Bielefeld, Germany;3. Pacific Biosciences Germany GmbH, Germany;4. Departamento de Bioquímica y Biología Molecular, Universidad de Córdoba, Córdoba, Spain;5. Departamento de Bioquímica y Biología Molecular y Genética, Facultad de Veterinaria, Universidad de Extremadura, Avenida de la Universidad SN, E-10071Cáceres, Spain;1. Department of Water Resources Development and Management, Indian Institute of Technology, Roorkee (IIT-Roorkee), Uttarakand 247667, India;2. Department of Electrical Engineering, Indian Institute of Technology, Roorkee (IIT-Roorkee), Uttarakand 247667, India;1. Department of Computer Science, Winona State University, 175 W. Mark St., Winona, MN, United States;2. Department of Computer Science and Engineering, Mississippi State University, 300 Butler Hall, Starkville, MS, United State;3. Department of Computer Science, University of Illinois at Springfield, United States;1. Section of Automation and Control, Department of Electronic Systems, Aalborg University, Fredrik Bajers Vej 7, 9220 Aalborg Ø, Denmark;2. Fuji Electric Co., Ltd., Fujimachi 1-Banchi Hino City, Tokyo 191-8502, Japan;3. Added Values P/S, Lysholt All 10, 7100 Vejle, Denmark |
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| Abstract: | A new robust power system stabilizer (PSS) design using Quantitative Feedback Theory (QFT) for damping electromechanical modes of oscillations and enhancing power system stability is proposed in this paper. The design procedure is carried out on a multi-input–multi-output (MIMO), non-minimum phase and unstable plant. A multi-machine electric power system with system parametric uncertainties is considered as a case study. To show the effectiveness of the QFT technique, the proposed method is compared with a conventional PSS (CPSS) whose parameters are tuned using the classical lead-lag compensation and genetic algorithms. Several nonlinear time-domain simulation tests indicate that the suggested control scheme is robust to the changes in the system parameters and also to successfully reject the disturbances. The results also show that the performance of the QFT method given in this paper is more desirable than CPSS and genetic algorithm (GA). |
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