Ngamroo, Issarachai

Preferred name

Ngamroo, Issarachai

Alternative Name

Ngamroo, I.

Main Affiliation

School of Engineering

issarachai.ng@kmitl.ac.th

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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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EVs Charging Power Control Participating in Supplementary Frequency Stabilization for Microgrids: Uncertainty and Global Sensitivity Analysis
(2021-01-01)
Jamroen, Chaowanan
;
Ngamroo, Issarachai
;
Dechanupaprittha, Sanchai
Electric vehicle (EV) potential has broadly been highlighted in providing ancillary services in a microgrid, such as grid reserve and regulation support. However, uncertain behaviors of EV charging raise crucial concerns for both the utilities and EV owners. In this paper, the impacts of EV charging uncertainties for EV charging power control participating in supplementary frequency stabilization are assessed separately based on the two perspectives, i.e., power capacity for the utility perspective and expected EV energy for the EV owner perspective. On the one hand, the power capacity accessed by the utility directly relates to the stabilization capability, which depends on the number of EVs that are willing to participate in the frequency stabilization program and the rated charging power of EV. On the other hand, the variance of expected EV energy realized by the EV owners is considered in terms of the remaining state of charge (SoC), energy capacity, and available charging time. Besides, a variance-based global sensitivity analysis (GSA) is essentially applied to identify the influential parameters of these uncertainties. The simulation studies are conducted using a microgrid environment via DIgSILENT Powerfactory software to reveal such impacts of EV charging uncertainties based on the two perspectives. The results indicate that the number of participating EVs is the most influential parameter for frequency stabilization capability, followed by the rated charging power of EV. From the EV owner's perspective, the energy capacity is the dominant parameter affecting the expected EV energy variance, followed by the remaining energy and available charging time.
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A robust SMES controller design for stabilization of inter-area oscillations based on wide area synchronized phasor measurements
(2009-12-01)
Ngamroo, Issarachai
;
Ali Nanda, Cuk Supriyadi
;
Dechanupaprittha, Sanchai
;
Watanabe, Masayuki
;
Mitani, Yasunori
This paper proposes a robust power controller design of superconducting magnetic energy storage (SMES) based on wide area synchronized phasor measurement units (PMUs) for stabilization of inter-area oscillation. The structure of active and reactive power controllers of SMES is the first-order lead/lag compensator. Assuming 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 robust control design, unstructured system uncertainties such as various operating conditions, system parameters variation, etc., are represented by the inverse additive perturbation and included in the SOM. 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 6-machine power system confirm that the robustness of the proposed SMES is much superior to the conventional SMES against various operating conditions and fault locations. © 2009 Elsevier B.V. All rights reserved.
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Test results of evaluating eigen-characteristics of interarea power swing mode derived from PMU data in Thailand system
(2007-12-01)
Higuma, Kenichiro
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Dechanupaprittha, Sanchai
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Morimoto, Hisayosi
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Watanabe, Masayuki
;
Mitani, Yasunori
The status of Thailand power system in northern, central and southern areas are monitored and collected by using multiple synchronized Phasor Measurement Units (PMUs). An analysis result of oscillation characteristics shows clearly that the power oscillation is observable at a frequency around 0.5Hz between central and southern areas. The power system stability is analyzed by determining eigenvalue from phase difference between central and southern areas. In this paper, the eigen-characteristics estimated from the PMU data in the steady state fluctuations have been confirmed by comparing the transient behaviour when a large disturbance occurred in the power system. Accordingly, methods of estimating eigenvalues from system data were examined. As a result, transitions of the stability could be estimated systematically using proposed methods.
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A practical design of fuzzy SMES controller based on synchronized phasor measurement for interconnected power system
(2007-12-01)
Dechanupaprittha, Sanchai
;
Hongesombut, Komsan
;
Watanabe, Masayuki
;
Mitani, Yasunori
;
Ngamroo, Issarachai
Recently, fuzzy logic control has widely received attention in various power system applications, despite difficulties of obtaining its control rules and membership functions. Nowadays, power system consists of multiple areas where load variations with abrupt changes always exist, and proper control rules and membership functions could be hardly achieved. This paper proposes a practical design of fuzzy logic controllers for superconducting magnetic energy storage (SMES) based on wide area synchronized phasor measurement for improving stability of interconnected power system. Moreover, a heuristic method is applied for determining control rules and membership functions. The estimated model is determined via a coupled vibration model for detection and assessment of an approximated inter-area oscillation mode. Finally, some simulation studies based on a two-area four-machine power system are carried out to examine the performance and effectiveness of the designed fuzzy SMES controller. © 2007 RPS.
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Estimation of dominant power oscillation modes based on ConvLSTM approach using synchrophasor data and cross-validation technique
(2022-09-01)
Senesoulin, Fanta
;
Ngamroo, Issarachai
;
Dechanupaprittha, Sanchai
This paper proposes a deep neural network approach considering performance-based cross-validation and confidence interval analysis to estimate a power system's dominant power oscillation modes. Due to increased electricity demands, power utilities implement various generation sources in their power systems. Accordingly, a modern power system is increasingly complex as a multi-area and multi-machine power system. The electromechanical oscillation modes arise inevitably. Moreover, a major-unexpected event could excite weakly damped power oscillation modes and cause power system instability. The estimation of dominant power oscillation modes is significant for power system monitoring and control. A fast computing time of such modes estimation is essential for further actions. This paper applies the convolutional long short-term memory 2-dimension (ConvLSTM2D) approach to estimate dominant oscillation modes based on synchrophasor data. The proposed ConvLSTM2D approach provides precise estimation with a great opportunity to avoid a forced power system outage. The simulation results of the ConvLSTM2D approach show better accuracy of the dominant power oscillation modes estimated in comparison with the state-of-the-art algorithms (SOTA), i.e., long short-term memory (LSTM), gated recurrent unit (GRU), and hybrid convolutional neural networks-long short-term memory (CNN-LSTM) algorithms. The proposed approach is a systematic approach that can be adaptively improved over time. In addition, the proposed approach can be further applied to wide-area monitoring considering the stability margin of a transmission system.
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A practical design of a fuzzy SMES controller based on synchronized phasor measurement for interconnected power systems
(2008-04-23)
Dechanupaprittha, Sanchai
;
Hongesombut, Komsan
;
Watanabe, Masayuki
;
Mitani, Yasunori
;
Ngamroo, Issarachai
Recently, fuzzy logic control has widely received attention in various power system applications, despite difficulties of obtaining its control rules and membership functions. Nowadays, power systems consist of multiple areas where load variations with abrupt changes always exist, and proper control rules and membership functions could hardly be achieved. This paper proposes a practical design of fuzzy logic controllers for superconducting magnetic energy storage (SMES) based on a wide area synchronized phasor measurement for enhancing the stability of an interconnected power system. Moreover, a heuristic method is applied for determining control rules and membership functions. The estimated model is determined via a simplified oscillation model for detection and assessment of an approximated inter-area oscillation mode. Finally, some simulation studies based on a two-area four-machine power system are carried out to examine the performance and effectiveness of the designed fuzzy SMES controller. Copyright 2008 The Berkeley Electronic Press. All rights reserved.
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Enhancement of load frequency stabilization effect of superconducting magnetic energy storage by static synchronous series compensator based on H∞ control
(2007-04-01)
Ngamroo, Issarachai
;
Taeratanachai, Chanin
;
Dechanupaprittha, Sanchai
;
Mitani, Yasunori
It is well known that the load frequency stabilization effect of superconducting magnetic energy storage (SMES) in an interconnected power system is restricted to its located area. The SMES almost has no frequency stabilization effect in another interconnected area. To enhance the frequency stabilization effect of SMES, the static synchronous series compensator (SSSC) can be applied as an auxiliary device. The SSSC can be used as an energy transfer device of the SMES to stabilize the frequency in another interconnected area. The proposed technique not only introduces a sophisticated frequency stabilization in deregulated power systems but also offers a smart energy management control of SMES. In addition, to take the robust stability of the controlled power system against system uncertainties into account, the H<inf>∞</inf> control is used to design robust frequency stabilizers of the SMES and SSSC. Simulation results in a two area interconnected power system confirm the high robustness of the frequency stabilizers SMES and SSSC against load disturbances and system uncertainties. © 2006 Elsevier Ltd. 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.
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Stabilization of tie-line power flow by robust SMES controller for interconnected power system with wind farms
(2007-06-01)
Dechanupaprittha, Sanchai
;
Hongesombut, Komsan
;
Watanabe, Masayuki
;
Mitani, Yasunori
;
Ngamroo, Issarachai
This paper presents the use of superconducting magnetic energy storage (SMES) with robust controllers for stabilization of tie-line power flow in a longitudinally interconnected power system with wind farms. The high penetration of wind power with abrupt changes causes fluctuations of tie-line power flow and significantly affects the effective use of transmission lines. A simultaneous active and reactive power control scheme of SMES including a characteristic of SMES coil current is employed for realizing a permissible range of SMES operation. Moreover, a multiplicative uncertainty model is considered in the parameter optimization of robust SMES controllers by using a heuristic method. Finally, simulation results are carried out to show the effectiveness and robustness under various situations. © 2007 IEEE.

Ngamroo, Issarachai

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