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

Pole placement approach for robust optimum design of PSS and TCSC-based stabilizers using reinforcement learning automata,10.1007/s00202-010-0147-5,El

Pole placement approach for robust optimum design of PSS and TCSC-based stabilizers using reinforcement learning automata   (Citations: 3)
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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.
Journal: Electrical Engineering - ELECTR ENG , vol. 91, no. 7, pp. 383-394, 2010
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    • ...The learning automaton and the games of the learning automata have also been used for multiple access channel selection [23], congestion avoidance in wireless networks [24], channel selection in radio networks [25], modeling a student’s behavior [26], clustering in wireless ad hoc networks [27], power system stabilizers [28], backbone formation in ad hoc wireless networks [29], and spectrum allocation in cognitive networks [30]...

    Omkar Tilaket al. Decentralized Indirect Methods for Learning Automata Games

    • ...FACTS devices are designed to enhance power system stability by increasing the system damping in addition to their primary functions such as voltage and power flow control [5]...

    Saeid Jalilzadehet al. Comparison of TCSC and PSS state feedback controller performances on d...

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