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http://dx.doi.org/10.5302/J.ICROS.2014.14.0015

Design of an Adaptive Robust Controller Based on Explorized Policy Iteration for the Stabilization of Multimachine Power Systems  

Chun, Tae Yoon (Department of Electrical Engineering, Yonsei University)
Park, Jin Bae (Department of Electrical Engineering, Yonsei University)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.20, no.11, 2014 , pp. 1118-1124 More about this Journal
Abstract
This paper proposes a novel controller design scheme for multimachine power systems based on the explorized policy iteration. Power systems have several uncertainties on system dynamics due to the various effects of interconnections between generators. To solve this problem, the proposed method solves the LQR (Linear Quadratic Regulation) problem of isolated subsystems without the knowledge of a system matrix and the interconnection parameters of multimachine power systems. By selecting the proper performance indices, it guarantees the stability and convergence of the LQ optimal control. To implement the proposed scheme, the least squares based online method is also investigated in terms of PE (Persistency of Excitation), interconnection parameters and exploration signals. Finally, the performance and effectiveness of the proposed algorithm are demonstrated by numerical simulations of three-machine power systems with governor controllers.
Keywords
multimachine system; adaptive dynamic programming; explorized policy iteration; optimal control;
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