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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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Robust controller design of microturbine and electrolyzer for frequency stabilization in a microgrid system with plug-in hybrid electric vehicles
(2012-12-01)
Vachirasricirikul, Sitthidet
;
Ngamroo, Issarachai
This paper proposes a new robust controller design of microturbine (MT) and electrolyzer (ES) in a control and monitoring system (CMS) for frequency stabilization in a microgrid system with plug-in hybrid electric vehicles (PHEVs). In the studied microgrid, the MT is normally used to provide the main power to the loads while the ES absorbs the power from the system to produce the hydrogen as the fuel input for the power generation of the fuel cell. On the other hand, the large numbers of PHEVs are utilized in the consumer side. The concurrent charging powers of PHEVs cause a problem of severe frequency fluctuation in the microgrid. To solve this problem, the frequency stabilization of CMS is performed by controlling the power output of MT and ES. The controller structure of MT and ES is a proportional integral with a single input. To enhance the tracking performance and the robustness against system uncertainties of the designed MT and ES controllers, the control parameters are optimized by shuffled frog leaping algorithm based on specified-structure mixed H <inf>2</inf>/H <inf>∞</inf> control technique. Simulation results not only show the frequency stabilization effect against the random charging power of PHEVs but also the high robustness of the proposed robust MT and ES controllers against the system parameters variation. © 2012 Elsevier Ltd. All rights reserved.
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Robust coordinated control of electrolyzer and PSS for stabilization of microgrid based on PID-based mixed H 2/H ∞ control
(2012-09-01)
Ngamroo, Issarachai
In the stand-alone microgrid with hybrid wind, fuel cell (FC) with electrolyzer (EZ) and diesel generations, the intermittent wind power may cause the serious power fluctuation. In addition to the hydrogen production for FC, the EZ can be used to alleviate power fluctuation by an appropriate control of the absorbed power. Nevertheless, the EZ may fail to suppress the power fluctuation due to large disturbances. To enhance the EZ control performance, a power system stabilizer (PSS) which is assumed to be equipped with a diesel generator can be used. This paper proposes the robust coordinated control of EZ and PSS for microgrid stabilization. The structure of power controller of EZ and PSS is a proportional-integral-derivative (PID). To improve the damping performance and robustness of EZ controller and PSS, the PID parameters of both EZ and PSS are simultaneously tuned based on the mixed H <inf>2</inf>/H <inf>∞</inf> control by bee colony optimization. Simulation studies show that the stabilizing performance and robustness of the proposed EZ and PSS are superior to those of the individual device under system uncertainties such as various wind patterns, loading conditions and severe faults. © 2012 Elsevier Ltd.
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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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Augmentation of electrolyzer control by SFCL for isolated power system stabilization using bee colony optimization
(2012-01-01)
Chaiyatham, Theerawut
;
Ngamroo, Issarachai
Recently, the hybrid diesel generations and renewable energy sources which consist of wind turbine generators and fuel cells equipped with electrolyzers (EZ) have been proposed for isolated power systems. In this hybrid system, the EZ can be controlled to rapidly absorb the fluctuating power output from wind generators in addition to the hydrogen production for fuel cells. Nevertheless, under the occurrence of the severe faults in the system, the EZ may fail to absorb the transient power fluctuation which may result in the system instability. To enhance the control effect of EZ, this paper applies the resistive type superconducting fault current limiter (SFCL) for stabilization of an isolated power system with hybrid wind/fuel cell and EZ/diesel generations. The bee colony optimization is automatically applied to achieve the optimal resistance value of SFCL and power controller parameters of EZ based on the minimization of power fluctuation. Simulation study confirms that the SFCL not only suppresses the transient power fluctuation considerably, but also augments the EZ control performance robustly against severe faults, high load demands, and various wind power patterns. © 2012 Praise Worthy Prize S.r.l.
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Augmentation of electrolyzer control effect by PSS for microgrid stabilization using PID-based mixed H2/H∞ control
(2011-01-01)
Ngamroo, Issarachai
In an isolated microgrid with hybrid wind, fuel cell (FC) with electrolyzer (EZ) and diesel generations, the intermittent wind power may cause the serious power fluctuation. In addition to the hydrogen production for FC, the EZ can be used to alleviate power fluctuation by control of the absorbed power. Nevertheless, the EZ may fail to suppress the power fluctuation due to the severe faults. To augment the EZ control performance, a power system stabilizer (PSS) which is assumed to be equipped with a diesel generator can be applied. This paper proposes the robust stabilization of isolated microgrid by EZ and PSS. The structure of power controller of EZ and PSS is a proportional-integral-derivative (PID) controller. To improve the damping performance and robustness of EZ controller and PSS, the PID parameters of both EZ and PSS are simultaneously tuned based on the mixed H<inf>2</inf>/H<inf>∞</inf> control by bee colony optimization. Simulation studies show that the stabilizing performance and robustness of the proposed EZ and PSS are superior to those of the individual device under system uncertainties such as various wind patterns, loading conditions and severe faults. © 2011 Praise Worthy Prize S.r.l. - All rights reserved.

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