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Pole placement approach for robust optimum design of PSS and TCSC-based stabilizers using reinforcement learning automata

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Abstract

Power system stability enhancement via robust optimum design of power system stabilizers (PSSs) and thyristor controlled series capacitor (TCSC)-based stabilizers is thoroughly investigated in this paper. The design problem of PSS and TCSC-based stabilizers is formulated as an optimization problem where a reinforcement learning automata-based optimization algorithm is applied to search for the optimal setting of the proposed PSS and CSC parameters. A pole placement based objective function is considered to shift the dominant system eigenvalues to the left in the s-plane. For evaluation of the effectiveness and robustness of the proposed stabilizers, their performances have been examined on a weakly connected power system subjected to different disturbances, loading conditions, and system parameter variations. The nonlinear simulation results and eigenvalues analysis demonstrate the high performance of the proposed stabilizers and their ability to provide efficient damping of low frequency oscillations. In addition, it is observed that the proposed CSC has greatly improved the voltage profile of system under severe disturbances.

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Authors and Affiliations

  1. Electrical and Computer Engineering Faculty, K.N. Toosi University of Technology, Tehran, Iran

    M. Kashki

  2. Electrical Engineering Department, King Fahd University of Petroleum and Minerals, KFUPM Box 183, Dhahran, 31261, Saudi Arabia

    M. A. Abido

  3. Electrical Engineering Program, The Petroleum Institute, P.O. Box 2533, Abu Dhabi, United Arab Emirates

    Y. L. Abdel-Magid

Authors
  1. M. Kashki
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  2. M. A. Abido
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  3. Y. L. Abdel-Magid
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Corresponding author

Correspondence to M. A. Abido.

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Kashki, M., Abido, M.A. & Abdel-Magid, Y.L. Pole placement approach for robust optimum design of PSS and TCSC-based stabilizers using reinforcement learning automata. Electr Eng 91, 383–394 (2010). https://doi.org/10.1007/s00202-010-0147-5

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  • DOI: https://doi.org/10.1007/s00202-010-0147-5

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