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Author: search.filters.author.Chaiyatham, T.

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    Design of optimal fuzzy logic-PID controller using bee colony optimization for frequency control in an isolated wind-diesel system
    (2009-12-16)
    Chaiyatham, T.
    ;
    Ngamroo, I.
    ;
    Pothiya, S.
    ;
    Vachirasricirikul, S.
    Generally, the inevitable problems in the fuzzy logic-PID (FLPID) control design are the trial and error of the setting of scale factors, membership functions and control rules. To solve these problems, this paper proposes the optimal FLPID controller design using bee colony optimization (BCO) for the load frequency control in the microglia system. The considered microgrid is the hybrid wind-diesel isolated system. The BCO is applied to automatically optimize the FLPID controllers of governor in the diesel side and blade pitch control in the wind side. Simulation studies show the superior robustness of the optimal FLPID against system parameters variation in comparison with the optimal PID controller and the non-optimal FLPID controller.
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    Robust frequency stabilization in a microgrid system
    (2009-12-16)
    Vachirasricirikul, S.
    ;
    Ngamroo, I.
    ;
    Kaitwanidvilai, S.
    ;
    Chaiyatham, T.
    This paper proposes a new design of a robust control and monitoring system (RCMS) for robust stabilization of frequency fluctuation in a microgrid (MG) system. In MG system, the power sources consists of wind power (WP), photovoltaic (PV), microturbine (MT) and fuel cell (FC). Due to WP, PV and load fluctuations, the frequency stabilization of RCMS is performed by adjusting the power outputs of MT and electrolyzer system (ES) in both islanding and interconnected utility grid operations. The structure of MT and ES controllers is a proportional integral (PI). To enhance the robustness of designed controllers against system uncertainties, controller parameters of MT and ES are concurrently tuned by the particle swarm optimization based on a specified-structure H<inf>∞</inf> loop shaping control. Simulation results display the effectiveness and robustness of the proposed RCMS against system parameters variation and several operating conditions.