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    Item type:Publication,
    Microgrid stabilization using controllable electrolyzer & fuel cell based on bee colony optimization of fuzzy-pid controller
    (2010-12-01)
    Chaiyatham, Theerawut
    ;
    Due to the intermittent power generations from wind and photovoltaic in the microgrid, these result in the power fluctuation. To suppress power fluctuation, the coordinated controls of aqua electrolyzer (AE) and fuel cell (FC) can be applied as the controllable distributed generations. In this paper, a bee colony optimization (BCO) is proposed to design the optimal fuzzy logic based-proportional-integral-derivative (FLPID) controller of AE and FC. Without trial and error as in the conventional FLPID controller design, scale factors, membership functions and control rules of the optimal FLPID controller are automatically and simultaneously tuned by the BCO. Simulation results confirm the superior effect of the proposed optimal FLPID controller in comparison with the conventional FLPID controller.
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    Item type:Publication,
    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.
    ;
    ;
    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.