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 180

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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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Bidirectional power controller design of PHEV for robust frequency control
(2012-06-12)
Ngamroo, Issarachai
;
Rattanapornchai, Chalotorn
This paper presents a bidirectional power controller design of plug-in hybrid electric vehicle (PHEV) for robust frequency control in the two-area interconnected power system with wind farms. The controller structure is a proportional integral (PI). System uncertainties such as various wind patterns, system parameters variation etc., are modeled by the inverse output multiplicative perturbation. The particle swarm optimization is applied for tuning the PI parameters based on the mixed H2/H∞ control technique. Simulation results confirm the superior performance and robustness of the proposed controller.
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Least squares support vector machine for power system stabilizer design using wide area phasor measurements
(2011-07-01)
Pahasa, Jonglak
;
Ngamroo, Issarachai
This paper proposes a design method of power system stabilizer by a least squares support vector machine (LS-SVMPSS) for wide area stability control. Both local and inter-area data based on synchronized phasor measurements considering time delay are considered as the input features of the LS-SVMPSS. A large number of the training data sets of a multi-machine power system are reduced by the measurement of similarity between samples. Removing the redundant data in the training set not only improves the LS-SVMPSS performance but also decreases computation expense during the operation of LS-SVMPSS. The LS-SVMPSS parameters and the similarity threshold are optimized by a genetic algorithm. As a result, the redundant data in the training set can be discarded while the reduced data are the optimal support vectors in the LS-SVMPSS model. The LS-SVMPSS control signals can be adapted in real time by various operating conditions and different disturbances. The performance of the LS-SVMPSS is compared with the conventional PSS and the neural network-based PSS. Simulation results in a two-area four-machine power system demonstrate that the proposed LS-SVMPSS is very robust to various disturbances under wide range of operating conditions in comparison to other PSSs. © 2011 ISSN.
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Wide-area robust SMES controller design using synchronized PMUS for stabilization of interconnected power system with wind farms
(2010-01-01)
Ngamroo, Issarachai
;
Nanda, Cuk Supriyadi Ali
;
Dechanupaprittha, Sanchai
;
Watanabe, Masayuki
;
Mitani, Yasunori
The high penetration of wind power into interconnected power system may cause the severe problem of inter-area oscillations. To stabilize power oscillations, superconducting magnetic energy storage (SMES), which is capable of controlling active and reactive powers simultaneously, can be applied. To achieve the practical SMES controller design, this paper focuses on a robust SMES controller design based on wide-area synchronized phasor measurement units (PMUs) in an interconnected power system with wind farms. The structure of active and reactive power controllers of SMES is the first-order lead/lag compensator. Assuming that multiple PMUs are located in an interconnected power system, the steady-state phasor data are obtained by applying the small load perturbation. Using the phasor data, the simplified oscillation model (SOM) included with SMES power controllers can be identified and applied to estimate the dominant inter-area oscillation modes. In the design, unstructured system uncertainties such as various operating conditions, system parameters variation, random wind patterns, etc., are represented by the inverse additive perturbation. To enhance the system robust stability margin, the optimization of SMES control parameters is solved by genetic algorithm in the SOM. Simulation studies in the West Japan six-machine power system confirm that the robustness of the proposed SMES is much superior to that of the conventional SMES against various operating conditions. © 2010 Institute of Electrical Engineers of Japan.
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PSO-based learning of support vector machines for adaptive TCSC
(2012-06-12)
Pahasa, Jonglak
;
Hongesombut, Komsan
;
Ngamroo, Issarachai
This paper proposes the design of an adaptive thyristor controlled series capacitor (TCSC) using support vector machines (SVMs) and particle swarm optimization (PSO). The SVMs for an adaptive TCSC are trained by the data obtained from a multi-machine power system. PSO is used to optimize the SVM parameters based on k-fold cross-validation technique. The TCSC parameters produced by SVMs can be adapted by various operating conditions. Simulation results in a two-area four-machine power system demonstrate that the proposed SVMs for an adaptive TCSC is much superior to the conventional TCSC with fixed parameters under various operating conditions.
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Distributed frequency suppression method using inverter for photovoltaic power generation
(2019-07-01)
Kato, Koki
;
Iwane, Yuji
;
Horie, Shunsuke
;
Goda, Tadahiro
;
Yukita, Kazuto
In this paper, the frequency variation suppression method for dispersed photovoltaic power generation (PV) is proposed. The variation of system frequency can occur due to the shortage of power generator adjustment under the massive installation of PV. In addition, the PV which is not equipped with frequency control results in the system frequency change. To handle this problem, a frequency control method by giving generator constants to distributed PVs is presented. Since, the distributed PVs cannot exchange information such as power generation amount and solar radiation amount etc., only the capacity of distributed PV is used. As a result, the generator constants of each PV can be calculated, and the frequency control can be performed. Study results confirm that the power generation output of PV which changes momentarily can be supplemented by giving the generator constants to distributed PVs.
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Power oscillation suppression by robust SMES in power system with large wind power penetration
(2009-01-01)
Ngamroo, Issarachai
;
Cuk Supriyadi, A. N.
;
Dechanupaprittha, Sanchai
;
Mitani, Yasunori
The large penetration of wind farm into interconnected power systems may cause the severe problem of tie-line power oscillations. To suppress power oscillations, the superconducting magnetic energy storage (SMES) which is able to control active and reactive powers simultaneously, can be applied. On the other hand, several generating and loading conditions, variation of system parameters, etc., cause uncertainties in the system. The SMES controller designed without considering system uncertainties may fail to suppress power oscillations. To enhance the robustness of SMES controller against system uncertainties, this paper proposes a robust control design of SMES by taking system uncertainties into account. The inverse additive perturbation is applied to represent the unstructured system uncertainties and included in power system modeling. The configuration of active and reactive power controllers is the first-order lead-lag compensator with single input feedback. To tune the controller parameters, the optimization problem is formulated based on the enhancement of robust stability margin. The particle swarm optimization is used to solve the problem and achieve the controller parameters. Simulation studies in the six-area interconnected power system with wind farms confirm the robustness of the proposed SMES under various operating conditions. © 2008 Elsevier B.V. All rights reserved.
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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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Stabilization of microgrid with intermittent renewable energy sources by SMES with optimal coil size
(2011-11-01)
Saejia, M.
;
Ngamroo, I.
It is well known that the superconducting coil is the vital part of a superconducting magnetic energy storage (SMES) unit. This paper deals with the power controller design of a SMES unit with an optimal coil size for stabilization of an isolated microgrid. The study microgrid consists of renewable energy sources with intermittent power outputs i.e., wind and photovoltaic. Since power generations from such renewable sources are unpredictable and variable, these result in power fluctuations in a microgrid. To stabilize power fluctuations, a SMES unit with a fast control of active and reactive power can be applied. The structure of a power controller is the practical proportional-integral (PI). Based on the minimization of the variance of power fluctuations from renewable sources as well as the initial stored energy of SMES, the optimal PI parameters and coil size are automatically and simultaneously tuned by a particle swarm optimization. Simulation studies show that the proposed SMES controller with an optimal coil size is able to effectively alleviate power fluctuations under various power patterns from intermittent renewable sources. © 2011 Elsevier B.V. All rights reserved.
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Practical design of smes controller for improving power system stability based on wide area synchronized phasor measurement
(2007-12-01)
Dechanupaprittha, Sanchai
;
Hongesombut, Komsan
;
Watanabe, Masayuki
;
Mitani, Yasunori
;
Ngamroo, Issarachai
This paper proposes a practical design of superconducting magnetic energy storage (SMES) controller for improving power system stability based on synchronized phasor measurement. In interconnected power system, load variations with abrupt changes cause fluctuations of tie-line power flow and significantly affect its stability. As a promising energy storage device, SMES is utilized as a channel for improving power system stability. In particular, SMES controller is designed by taking advantages of the wide area synchronized phasor measurement. Moreover, a tabusearch algorithm is employed for optimally tuning controller parameters. The estimated model is determined as an extended coupled vibration model for detection and assessment of an approximated interarea oscillation mode. Finally, simulation study is carried out to examine and demonstrate the effectiveness of the proposed design method.

Ngamroo, Issarachai

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