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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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Optimal fuzzy gain scheduling of PID controller of superconducting magnetic energy storage for power system stabilization
(2013-05-21)
Chaiyatham, Theerawut
;
Ngamroo, Issarachai
It is well known that the proportional-integral-derivative (PID) can be applied to solve practical control problems effectively. However, in the face of the high system nonlinearity, the PID controller with fixed parameters may fail to provide satisfactory control performance. To enhance the PID control effect, a new design of the fuzzy gain scheduling of PID controller (FGS-PID) is presented in this paper. The proposed technique is applied to design FGS-PID controllers of superconducting magnetic energy storage (SMES) for power system stabilization. Without trial and error, the scale factors, membership functions and control rules of the FGS-PID controller are automatically tuned by a bee colony optimization. With the optimal FGS-PID controller, the PID parameters can be adjusted automatically according to various system operating conditions. As a result, the high robustness of the FGS-PID controller can be expected. Simulation study confirms that the stabilizing effect and robustness of the proposed SMES with an optimal FGS-PID controller are much superior to those of the SMES with an optimal PID controller. © 2013 ICIC International.
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Bee colony optimization of battery capacity and location for alleviation of voltage rise by photovoltaic generation in power distribution system
(2013-03-28)
Chaiyatham, Theerawut
;
Ngamroo, Issarachai
Recently, an installation of photovoltaic (PV) power generation in power distribution systems has been paid attention to around the world. Nevertheless, the PV generation may cause a reverse power flow which results in the voltage rise problem. To tackle this problem, the battery energy storage can be applied. However, the optimal placement and capacity of battery are very important issue to be considered due to the high cost of battery. This paper applies the bee colony optimization to determining the optimal location and size of battery. Simulation results with many scenarios confirm the control effect of battery optimized by the proposed method. © 2013 ICIC International.
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A self-tuning PID-based SMES controller by optimal fuzzy gain scheduling for stabilization of inter-area power system oscillation
(2013-01-16)
Chaiyatham, Theerawut
;
Ngamroo, Issarachai
Generally, the PID (Proportional-Integral-Derivative) controller with fixed parameters may fail to provide satisfactory performance when the system nonlinearity is high. To augment the PID control effect, the optimal fuzzy gain scheduling for a self-tuning PID controller (FGS-PID) is presented in this paper. The proposed technique is applied to design an FGS-PID controller of superconducting magnetic energy storage (SMES) for stabilization of inter-area power system oscillation. Without trial and error, the scale factors, membership functions and control rules of the FGS-PID controller are automatically tuned by a bee colony optimization. With the optimal FGS-PID controller, the PID parameters can be adjusted automatically according to various system operating conditions. As a result, the high robustness of the FGS-PID controller can be expected. Simulation study confirms that the stabilizing effect and robustness of the proposed SMES with an optimal FGS-PID controller are much superior to those of the SMES with an optimal PID controller. © 2013 ICIC International.
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Application of electrolyzer to alleviate power fluctuation in a stand alone microgrid based on an optimal fuzzy PID control
(2012-12-01)
Ngamroo, Issarachai
Due to the high intermittent power generations from wind and photovoltaic in the microgrid (MG) system, these result in the severe power fluctuation. When the fuel cell (FC) equipped with the aqua electrolyzer (AE) has been installed in the MG, in addition to hydrogen production for FC, the absorbed power by AE can be controlled to alleviate the power fluctuation. This paper proposes the coordinated control of AE and FC to solve the power fluctuation problem in the MG. By control of the power absorption by AE and the power production by FC, the power fluctuation in the MG can be suppressed. The optimal fuzzy logic based-proportional-integral-derivative (FLPID) is used to design the controllers 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 a bee colony optimization. Simulation results confirm the superior stabilizing effect of the proposed optimal FLPID controller in comparison with the conventional FLPID controller under several system disturbances. © 2012 Elsevier Ltd. All rights reserved.
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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 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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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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