Linear quadratic regulator design for power system stabilizer using biogeography based optimization method

In this paper biogeography based optimization algorithm (BBO) is utilized to propose a new control method (BBO-OPSS) which optimizes the state weighting matrix (Q) and the control weighting matrix (R) of the linear quadratic regulator (LQR). The method is used to find the optimal design of the power system stabilizer (PSS) for a single machine infinite bus system operating at different loading conditions. Then, the proposed controller results will be compared with conventional designed power system stabilizer (CPSS) and normal optimal power system stabilizer (OPSS) (where the weighting matrices are generated by trial and error) to show the effectiveness and robustness of the proposed algorithm.

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