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Author: search.filters.author.Chaiyatham, TheerawutSubject: search.filters.subject.Microgrid

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    Alleviation of power fluctuation in a microgrid by electrolyzer based on optimal fuzzy gain scheduling PID control
    (2014-01-01)
    Chaiyatham, Theerawut
    ;
    Ngamroo, Issarachai
    This paper presents an application of the electrolyzer (EZ) to alleviate the power fluctuation in a microgrid with hybrid power generations from wind, photovoltaic array, fuel cell, and diesel engine. In this microgrid, the intermittent power generations from wind and photovoltaic arrays cause severe power fluctuation. With the fast response of EZ, the power absorbed by EZ can be controlled to compensate for the power fluctuation, in addition to the hydrogen production for fuel cell. The structure of the active and reactive power controllers of EZ is the fuzzy gain scheduling of a proportional-integral-derivative (FGS-PID) controller. Without trial and error, the scale factors, membership functions, and control rules of the FGS-PID controller are automatically optimized by bee colony optimization. A simulation study confirms that the proposed EZ with optimal FGS-PID controller is much superior to the optimal PID controller in terms of damping effect, robustness against disturbances, and hydrogen production. © 2014 Institute of Electrical Engineers of Japan.
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    A bee colony optimization based-fuzzy logic-pid control design of electrolyzer for microgrid stabilization
    (2012-09-01)
    Chaiyatham, Theerawut
    ;
    Ngamroo, Issarachai
    This paper proposes the optimal fuzzy logic based-proportional-integral-derivative (FLPID) controller design of the electrolyzer (EZ) by a bee colony optimization (BCO) for microgrid (MG) stabilization. The study MG system consists of wind power (WP), photovoltaic (PV), fuel cell (FC) equipped with EZ, diesel generator, and load. The intermittent power generations from WP and PV cause the severe power fluctuation in the MG. To alleviate power fluctuation, the EZ which is normally used to produce the hydrogen input for FC, can be applied. By control of active and reactive powers absorbed by EZ, the power fluctuation can be stabilized. The structure of active and reactive power controllers of EZ is the FLPID which consists of scale factors (SCs), membership functions (MFs), and control rules (CRs). Without trial and error, SCs, MFs, and CRs of the FLPID controller are automatically optimized by a BCO. Simulation study confirms that the proposed EZ with an optimal FLPID controller is much superior to the EZ with a conventional FLPID controller or an optimal PID controller in terms of stabilizing effect and robustness against various loading conditions and severe disturbances. © 2012 ICIC International.
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    Microgrid stabilization by electrolyzer with optimal fuzzy gain scheduling PID control
    (2012-06-12)
    Chaiyatham, Theerawut
    ;
    Ngamroo, Issarachai
    This paper presents the alleviation of power fluctuation by the electrolyzer (EZ) in a stand-alone microgrid (MG) with hybrid power generations from wind, photovoltaic, fuel cell, and diesel engine. In this MG, the intermittent power generations from wind and photovoltaic cause the severe power fluctuation. With the fast response of EZ, the power absorbed by EZ can be controlled to compensate for power oscillation, in addition to the hydrogen production for fuel cell. The structure of active and reactive power controllers of EZ is the fuzzy gain scheduling of proportional-integral-derivative (FGS-PID) controller. Without trial and error, the scale factors, the membership functions, and the control rules of the FGS-PID controller are automatically optimized by bee colony optimization. Simulation study confirms that the proposed EZ with optimal FGS-PID controller is much superior to the optimal PID controller in terms of damping effect and robustness against disturbances.
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    Microgrid stabilization using controllable electrolyzer & fuel cell based on bee colony optimization of fuzzy-pid controller
    (2010-12-01)
    Chaiyatham, Theerawut
    ;
    Ngamroo, Issarachai
    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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    Design of robust control and monitoring system for microgrid stabilization
    (2009-10-22)
    Vachirasricirikul, Sitthidet
    ;
    Ngamroo, Issarachai
    ;
    Kaitwanidvilai, Somyot
    ;
    Chaiyatham, Theerawut
    This paper proposes a design of the robust control and monitoring system (RCMS) for stabilization of microgrid (MG) system. The power sources in MG consists of wind power (WP), photovoltaic (PV), micro-turbine (MT) and fuel cell (FC). Due to intermittent powers from WP, PV and load fluctuations, the MG stabilization of RCMS is performed by controlling 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 the proportional integral (PI). By taking system uncertainties into account, control parameters of MT and ES are simultaneously optimized based on the particle swarm optimization (PSO) based fixed-structure H<inf>∞</inf> loop shaping control. Simulation results show the robustness and effectiveness of the proposed RCMS against the variation of system parameters and operating conditions. ©2009 IEEE.