Abstract
This paper presents a decentralized state-feedback controller design based on robust control theory to ensure system stability and voltage regulation in multimachine power systems. The power system is decomposed in n subsystems each represented by a state-space model with bounded parameter uncertainties and unknown input disturbances of class L ∞ which model couplings with the generators of the others subsystems. The proposed controller designed according to a Riccati-based approach is robust with respect to uncertain network parameters and counteracts the effects of the disturbances. A stability analysis in presence of L ∞ disturbances is also given. The control law is straightforward and cost effective because it is function of constant gains and of local measurable machine variables. Numerical simulations give evidence of the achievements in terms of system transient stability as well as voltage regulation, also in comparison with another design technique.
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Recommended by Editor Yoshito Ohta.
Giuseppe Fusco received his Laurea degree in Electrotechnical Engineering from the University of Naples Federico II, Italy. He is currently an Associate Professor in Control Engineering at the University of Cassino and Souther Lazio, Italy. His research interests include control theory and its application to power systems and smart grids. He is Regional Europe Editor of the International Journal of Modelling, Identification and Control InderScience Publisher.
Mario Russo received his Laurea degree in Electrotechnical Engineering from the Università degli Studi di Napoli, Italy, in 1988. Since 2005, he is a Full Professor in Electric Power Systems at the University of Cassino and Souther Lazio, Italy. His research interests include distributed generation, smart grids and power systems control. He is a member of the IEEE, of the Associazione Elettrotecnica Italiana (AEIT) and of IFAC.
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Fusco, G., Russo, M. Design of decentralized robust controller for voltage regulation and stabilization of multimachine power systems. Int. J. Control Autom. Syst. 11, 277–285 (2013). https://doi.org/10.1007/s12555-012-0063-8
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DOI: https://doi.org/10.1007/s12555-012-0063-8