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Author: search.filters.author.Dechanupaprittha, S.Subject: search.filters.subject.Inverse additive perturbation

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    Stabilization of tie-line power oscillations by robust SMES in interconnected power system with large wind farms
    (2009-12-16)
    Ngamroo, I.
    ;
    Cuk Supriyadi, A. N.
    ;
    Dechanupaprittha, S.
    ;
    Mitani, Y.
    This paper proposes a robust controller design of Superconducting Magnetic Energy Storage (SMES) for stabilization of interconnected power systems with wind farms. The inverse additive perturbation is applied to represent system uncertainties such as variation of system parameters, several generating and loading conditions etc. The structure of active and reactive power controllers of SMES is the first-order lead-lag compensator. To tune the controller parameters, the optimization problem is formulated based on the enhancement of additive stability margin. The particle swarm optimization is used to solve for controller parameters. Simulation studies in a six-area interconnected power system with wind farms confirm the robustness of the proposed SMES against various system operating conditions.
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    Inverse additive perturbation-based optimization of robust PSS in an interconnected power system with wind farms
    (2008-12-01)
    Cuk Supriyadi, A. N.
    ;
    Ngamroo, I.
    ;
    Kunakorn, A.
    ;
    Dechanupaprittha, S.
    ;
    Watanabe, M.
    This paper proposes a design of robust power system stabilizer (RPSS) based on inverse additive perturbation optimization in an interconnected power system with wind farms. In the design, system uncertainties are represented by the inverse additive model. The robust stability condition is used to form the optimization problem of PSS parameters. The structure of PSS is a conventional second-order lead-lag controller. The genetic algorithm is applied to solve the problem and achieve the PSS parameters. Simulation studies in the two-area four-machine system with wind farms confirm that the damping effect and robustness of the proposed PSS are superior to those of the compared PSS. © 2008 SICE.