Ngamroo, Issarachai

Preferred name

Ngamroo, Issarachai

Alternative Name

Ngamroo, I.

Main Affiliation

School of Engineering

issarachai.ng@kmitl.ac.th

Now showing 1 - 10 of 13

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Improvement of power system transient stability by PV farm with fuzzy gain scheduling of PID controller
(2017-09-01)
Chaiyatham, Theerawut
;
Ngamroo, Issarachai
The extensive proliferation of large photovoltaic (PV) farms in power systems deteriorates both system inertia and synchronizing coupling. Under the occurrence of severe faults, the power system transient stability may be jeopardized. Nevertheless, the fast active power control ability of the PV inverter leads to the possibility of transient stability improvement. This paper focuses on the new application of large PV farms equipped with a fuzzy gain scheduling of proportional-integral-derivative (FGS-PID) controller for transient stabilization of a multimachine power system. The FGS-PID controller is used to control the PV inverter, so that the PV power output can be modulated to stabilize the transient power swing when the faults take place. To obtain the stabilizing performance, the scale factors, membership functions, and control rules of the FGS-PID controller are determined by a bee colony optimization. Simulation study in a two-area interconnected power system exhibits the superior stabilizing effect and robustness of the PV with FGS-PID controller over the PV with maximum power point tracking (MPPT) controller, optimal PID controller, and Ziegler-Nichols tuned PID controller, under various faults, line flows, and solar insolations. In addition, without losing the main function of power generation, the PV with FGS-PID control is able to supply energy to the system almost equal as the PV with MPPT, during stabilization.
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Transient stabilization of power swing by controllable PV farm equipped with optimal fuzzy gain scheduling of PID controller
(2014-10-15)
Chaiyatham, Theerawut
;
Ngamroo, Issarachai
The severe faults in power systems may cause the power swing and transient instability. On the other hand, recently, the large photovoltaic (PV) farms have been extensively installed in power systems. With the ability of PV inverter, it is possible to control the PV output power quickly to stabilize the power swing. This paper proposes an optimal fuzzy gain scheduling of PID (FGS-PID) controller equipped with the PV inverter for stabilization of power swing. Without trial and error, the scale factors, membership functions and control rules of the FGS-PID controller are automatically obtained by a bee colony optimization. Simulation study in a single machine infinite bus system confirms the superior stabilizing effect of the PV with proposed FGS-PID in comparison to the PV with MPPT and the PV with PID.
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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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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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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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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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Fuzzy logic PID-based SMES controller design using bee colony optimization for stabilization of inter-area oscillation
(2009-10-22)
Chaiyatham, Theerawut
;
Ngamroo, Issarachai
;
Pothiya, Saravuth
;
Vachirasricirikul, Sitthidet
This paper proposes a design of Fuzzy Logic based-Proportional-Integral- Derivative (FLPID) controller of Superconducting Magnetic Energy Storage (SMES) by a Bee Colony Optimization (BCO) for stabilization of inter-area oscillation in an interconnected power system. Conventionally, the scale factors, membership functions and control rules of FLPID are obtained by trial and error method or experiences of designers. To tackle this problem, the BCO is applied to simultaneously tune all control parameters of FLPID controller based on the minimization of the integral of time-multiplied absolute error of the generators speed difference between any two areas. Simulation results in a two-area four-machine power system show the superior stabilizing effect of the SMES with the proposed optimal FLPID controller in comparison with the SMES with conventional FLPID controller. ©2009 IEEE.
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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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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.

Ngamroo, Issarachai

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