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 10

Some of the metrics are blocked by your
consent settings
Incorporating ObjectStab library and fuzzy logic toolbox for design of power system damping controller
(2008-12-26)
Ngamroo, Issarachai
;
Somritvanitcha, Boonrat
;
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.
Some of the metrics are blocked by your
consent settings
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.
Some of the metrics are blocked by your
consent settings
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.
Some of the metrics are blocked by your
consent settings
Small-signal analysis of multiple virtual synchronous machines to enhance frequency stability of grid-connected high renewables
(2021-04-01)
Kerdphol, Thongchart
;
Rahman, Fathin Saifur
;
Watanabe, Masayuki
;
Mitani, Yasunori
;
Hongesombut, Komsan
The virtual synchronous machine technology is considered as an important technique to effectively control the shortcomings of renewable energy-based power electronics interfaces, providing backup inertia and regulating grid stability. Conventionally, the virtual synchronous machine with a large capacity is responsible for controlling the entire grid stability against renewable penetration. It is usually operated as a centralised control system. But what if virtual synchronous machines with small capacities are independently operated by their additional droop control schemes, and will they present better performance than the single virtual synchronous machine? This study proposes the multiple virtual synchronous machine system with different active power-frequency (P-f) droop characteristics to improve inertia support regarding frequency stability improvement. The comprehensive small-signal modelling of the multiple virtual synchronous machine unit is designed to include the additional P-f droop characteristics. Then, the dynamic characteristics (steady-state and transient responses) and static stability of the multiple virtual synchronous machines are compared with the single virtual synchronous machine at the same rated capacity in both eigenvalue/sensitivity-domain and time-domain analysis. The obtained results reveal that the system with the presence of several virtual synchronous machines is more stable than the system with single virtual synchronous machine, maintaining stable and secure system operation during the contingency.
Some of the metrics are blocked by your
consent settings
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.
Some of the metrics are blocked by your
consent settings
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.
Some of the metrics are blocked by your
consent settings
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.
Some of the metrics are blocked by your
consent settings
Design and analysis of robust SMES controller for stability enhancement of interconnected power system taking coil size into consideration
(2009-01-01)
Dechanupaprittha, Sanchai
;
Sakamoto, Naotoshi
;
Hongesombut, Komsan
;
Watanabe, Masayuki
;
Mitani, Yasunori
In power applications, efficiency and effectiveness of SMES with proper control are promising and highly remarkable, however, quite costly. Accordingly, optimum design and utilization are essentially needed. This paper presents the design and analysis of robust SMES controller for stability enhancement of interconnected power system taking coil size into consideration. With lead/lag controller structure, parameters of robust SMES controller can be optimized by a metaheuristic method; meanwhile, a multiplicative uncertainty is included in the design to cope with system uncertainties. Lastly, aiming at achieving optimum design and utilization, robust controllers for SMES with different coil sizes are examined to investigate performance and robustness under different situations via simulation studies. © 2009 IEEE.
Some of the metrics are blocked by your
consent settings
ConvLSTM-based real-time power flow estimation of smart grid with high penetration of uncertain PV considering measurement noise
(2024-04-01)
Senesoulin, Fanta
;
Hongesombut, Komsan
;
Ngamroo, Issarachai
;
Dechanupaprittha, Sanchai
A modern smart grid tends to have increasingly various uncertain renewable generations. Due to different geographical areas and network topology constraints, operations of a smart grid become complicated and challenging. Moreover, using existing methods, power flow estimation in real-time could be time-consuming and computationally expensive. This paper proposes an efficient deep learning approach to estimate real-time power flow solutions of the smart grid with high penetration of uncertain PV generations using synchrophasor data considering measurement noise. The performance and effectiveness of the proposed convolutional long short-term memory (ConvLSTM) with time-series cross-validation technique are examined using synchrophasor data with Gaussian noise in the IEEE 39 bus test system. The proposed ConvLSTM approach shows better robust performance than weighted least square (WLS) state estimation and long short-term memory (LSTM) approaches. In addition, state measurements and confidence intervals are employed to confirm the accuracy of estimated real-time power flow results. The accurate real-time power flow estimation is crucial to determining dynamic available transfer capability (ATC) results and efficient operations of smart grids.
Some of the metrics are blocked by your
consent settings
Design of SMES controller for improving stabilization of interconnected power system based on synchronized phasor measurement
(2007-12-01)
Dechanupaprittha, Sanchai
;
Hongesombut, Komsan
;
Watanabe, Masayuki
;
Mitani, Yasunori
;
Ngamroo, Issarachai
This paper presents the design of superconducting magnetic energy storage (SMES) controller for improving stabilization of interconnected power system based on synchronized phasor measurement. Load variations with abrupt changes occurring in a power system cause fluctuations of tie-line power flow and significantly disturb the effective use of transmission lines. As one of promising energy storage devices, SMES is applied for power system stabilization. SMES controller is designed based on the wide area synchronized phasor measurement. The estimated model is determined as a coupled vibration model for detection and assessment of an approximated inter-area oscillation mode. Finally, some simulation studies are carried out to demonstrate the applicability and effectiveness of the design method. ©2007 IEEE.

Ngamroo, Issarachai

Filters

Settings

Sort By

Results per page