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 106

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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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An open circuit fault diagnostic technique in IGBTS for ac to dc converters applied in microgrid applications
(2011-01-01)
Khomfoi, Surin
;
Sae-Kok, Warachart
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Ngamroo, Issarachai
An open circuit fault diagnostic method in IGBTs for the ac to dc converters used in microgrid applications is developed in this paper. An ac to dc converter is a key technology for microgrids in order to interface both distributed generation (DG) and renewable energy resources (RES). Also, highly reliable ac to dc converters are necessary to keep converters in continuous operation as long as possible during power switch fault conditions. Therefore, the proposed fault diagnostic method is developed to reduce the fault detection time and to avoid any other fault alarms because continuous operation is desired. The proposed diagnostic method is a combination of the absolute normalized dc current technique and the false alarm suppression algorithm to overcome the long fault detection time and fault alarm problems. The simulation and experimental results show that the developed fault diagnostic method can perform fault detection within about one cycle. The results illustrate that the reliability of an ac to dc converter interfaced with a microgrid can be improved by using the proposed fault diagnostic method.
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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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Coordinated PHEV, PV, and ESS for Microgrid Frequency Regulation Using Centralized Model Predictive Control Considering Variation of PHEV Number
(2018-01-01)
Pahasa, J.
;
Ngamroo, I.
The integration of plug-in hybrid electric vehicles (PHEVs), photovoltaic (PV) generators, and energy storage systems (ESSs) into microgrids is highly anticipated. A coordinated control of PHEVs, PVs, and ESS will support frequency control in a microgrid. However, the size of the ESS depends on the surplus power of PV. The lower the surplus power is, the smaller the size of ESS. Furthermore, the number of available PHEVs vary with the cumulative number of the participating PHEVs. This variation of the number of PHEVs may reduce the PHEVs' control effect in the microgrid. This paper proposes a coordinated control of PHEVs, PVs, and ESSs for frequency control in the microgrid using a centralized model predictive control (CMPC) considering the variation of PHEV numbers. The objectives of the coordinated control are: 1) to suppress the system frequency fluctuation and 2) to minimize the surplus power of PV and, therefore, reduce the size of ESS. Simulation studies indicate that the coordinated control of PHEVs, PVs, and ESSs by the proposed CMPC is superior to that of the proportional integral derivative control and the distributed MPC in terms of minimizing the frequency fluctuation, the PV surplus power, and the ESS size.
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Robust voltage stabilization in an isolated wind-diesel power system using pso based-fixed structure H∞ loop shaping control
(2009-07-30)
Vachyirasricirikul, Sitthidet
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Ngamroo, Issarachai
;
Kaitwanidvilai, Somyot
It is well known that the power system controller designed by H∞ control is complicated, high order and impractical. In power system applications, practical structures such as proportional integral derivative (PID) etc., are widely used, because of their simple structure, less number of tuning parameters and low-order. However, tuning of controller parameters to achieve a good performance and robustness is based on designer's experiences. To overcome this problem, this paper proposes a fixed structure robust H∞ loop shaping control to design Static Var Compensator (SVC) and Automatic Voltage Regulator (AVR) for robust stabilization of voltage fluctuation in an isolated wind-diesel hybrid power system. The structure of the robust controller of SVC and AVR is specified by a PID controller. In the system modeling, a normalized coprime factorization is applied to represent possible unstructured uncertainties in the power system such as variation of system parameters, generating and loading conditions etc. Based on the H∞ loop shaping, the performance and robust stability conditions are formulated as the optimization problem. The particle swarm optimization is applied to solve for PID control parameters of SVC and AVR simultaneously. Simulation studies confirm the control effect and robustness of the proposed control. © 2009 The Institute of Electrical Engineers of Japan.
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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
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Nanda, Cuk Supriyadi Ali
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Dechanupaprittha, Sanchai
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Watanabe, Masayuki
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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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Optimal Superconducting Coil Integrated into PV Generators for Smoothing Power and Regulating Voltage in Distribution System with PHEVs
(2016-10-01)
Kreeumporn, Worapong
;
Ngamroo, Issarachai
Nowadays, the proliferation of photovoltaic (PV) generators and plug-in hybrid electric vehicles (PHEVs) into power distribution systems highly escalates. The variable PV power and the abrupt power charging of PHEVs result in system power and voltage fluctuations. This paper presents the new application of the superconducting coil (SC), which is connected between the dc link of PV generators to solve this problem. Using the dc-to-dc converter as an interfaced circuit, the SC can share the inverters with the PV generators. In addition, the PV generators with the common SC are able to provide the smooth power output and regulate the system voltage. The PV inverters and the dc-to-dc converter are controlled by the proportional-integral (PI) controllers. The optimization of the PI parameters and SC inductance is performed, so that the power and voltage fluctuations are minimized. Simulation results indicate that the PV generators with the common SC, which has a lower SC inductance, provide the same smoothing effect on the PV power fluctuation as the superconducting magnetic energy storage (SMES) installed at the PV terminal. In addition, they give the superior voltage regulation effect to the SMES.
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MPC-Based Virtual Energy Storage System Using PV and Air Conditioner to Emulate Virtual Inertia and Frequency Regulation of the Low-Inertia Microgrid
(2022-01-01)
Pahasa, Jonglak
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Potejana, Potejanasak
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Ngamroo, Issarachai
Grid-connected large-scale power converter-based intermittent renewable energy sources (RES) reduce system inertia, increase frequency fluctuation, and increase the rate of change of frequency (RoCoF). An energy storage system (ESS) is an indispensable component of a smart grid, and is used to overcome low-inertia problems. However, the capital and maintenance costs of ESS are high and high RoCoF events are less frequent in power systems. Therefore, the introduction of a virtual energy storage system (VESS) to provide the function of a conventional ESS for power system ancillary services is an innovative and cost-effective method. This study investigated a VESS using photovoltaic (PV) generators and inverter air conditioners (IACs) to provide virtual inertia and frequency regulation for a low-inertia microgrid. A model predictive control (MPC)-based VESS regulates indoor temperature, microgrid frequency, and RoCoF. The impact of parameter variation, that is, the microgrid frequency weight, indoor temperature weight, virtual inertia gain, and number of IACs, was studied and selected by considering the ability of the parameters to provide virtual inertia and frequency regulation. Finally, the efficiency and robustness of the proposed MPC-based VESS technique are compared with those of a conventional VESS. Simulation results revealed that the proposed MPC-based VESS can improve the virtual inertia, reduce the frequency deviation, and reduce the RoCoF of the studied microgrid. In addition, the proposed method is robust to variations in the system parameters.
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WLAV state estimation for power system containing multitype FACTS devices
(2013-01-01)
Rakpenthai, Chawasak
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Uatrongjit, Sermsak
;
Ngamroo, Issarachai
This paper presents the state estimation of power system in which not only the bus voltages but also the states of the flexible AC transmission system (FACTS) are considered as the state variables. By using the rectangular form of state variables and equivalent measurement techniques, a linear measurement model with constraints of FACTS device is obtained. The predictor-corrector interior point method based on the weighted least absolute value criterion is developed for solving the optimization problem. Simulation results on the modified IEEE 14-bus and 118-bus test systems are provided. The numerical results indicate the effectiveness of the proposed approach. © 2013 Institute of Electrical Engineers of Japan.
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Incorporating ObjectStab library and fuzzy logic toolbox for design of power system damping controller
(2008-12-26)
Ngamroo, Issarachai
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Somritvanitcha, Boonrat
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Hongesombut, Komsan
ObjectStab is a general purpose simulation tool for power system stability studies developed by Modelica which is an object-oriented modeling language. It provides enough modeling flexibility to allow addition or modification of new power system components. This article describes an incorporated use of ObjectStab library and fuzzy logic toolbox in Matlab/Simulink to enhance the application of this library into fuzzy control design environment. The example provided here is the modeling of the static synchronous series compensator (SSSC) which is the new device developed in the ObjectStab. In addition, the interface of ObjectStab with Matlab/Simulink for an SSSC damping controller design by fuzzy logic toolbox is explained step by step. In fuzzy control design, a simple approach to extract membership functions and fuzzy logic control rules based on observed signals is presented. Simulation studies in a two-area four-generator power system confirm the effectiveness of the fuzzy controller of SSSC designed by the incorporated use of ObjectStab and fuzzy logic toolbox. © 2008 Wiley Periodicals Inc.

Ngamroo, Issarachai

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