Polmai, Sompob
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Preferred name
Polmai, Sompob
Alternative Name
Polmai, S.
Main Affiliation
Email
sompob.po@kmitl.ac.th
27 results
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Item type:Publication, Stabilization of power system using improved virtual inertia of virtual synchronous generator(2022-01-01) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Improvement of output dynamic performance of an average current mode controlled buck converter with a parallel controller(2010-09-17); This paper presents a parallel voltage controller to improve the output dynamic performance of a buck converter with Average Current Mode Control (ACMC). The parallel controller is a high-order controller synthesized from parallel connection of the two basic controllers. It is proposed to compensate the control-to-output transfer function of the converter, which has multiple poles and zeros. Up until now, the task is commonly performed by the two-pole one-zero controller, which is clearly not adequate and has somewhat limited the dynamic performance of the converter. In the paper, the design of parallel controller is illustrated with a 5V/2V ACMC buck converter. Experimental and simulated results that show the improvement of output voltage response to a step load change are presented. © 2010 IEEE. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Low voltage series arc fault detection using rogowski coil(2018-08-13); This paper presents series arc fault detection in low voltage ac circuit using Rogowski coil d/dt sensor. Series arc faults are simulated with various types of loads and current levels to understand the characteristic of arcing signal pattern and level. The Rogowski coil is designed to be able to detect high frequency di/dt component of the arc signal. The experimental results clearly show that by detecting the high frequency component of the di/dt, series arc fault condition can be reliably detected. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Experiment on distributed cooperative control with multi-agent system for a single-phase microgrid(2015-08-17) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Transformerless Multi-Cell Solid-State Fault Current Limiter for Medium Voltage Power System(2018-10-22); This paper proposes a transformerless solid-state fault current limiter composed of multiple cells of single-phase bridge controlled rectifier with DC reactor and an AC reactor connected in parallel with cascaded rectifier cells performing current limiting in steady state. The proposed fault current limiter can be used in medium-voltage power system without power transformer so the system is more compact. With modular design of each rectifier cell, the construction and maintenance of the system could also be simplified. In this paper, the circuit designs, the computer simulation and the construction of the solid-state fault current limiter prototype are presented. The simulation and experimental results show that the proposed fault current limiter can operate properly. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The efficiency improvement of series connected PV panels operating under partial shading condition by using per-panel DC/DC converter(2011-08-12) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Development of Converter and Control System for Variable Speed Permanent Magnet Synchronous Generator in Small Hydro Power Plant Model(2022-01-01); In micro and small hydro power plants, the flow and head of the water fluctuate seasonally. The torque-speed characteristic of hydro turbine requires variable speed operation of generator to always obtain maximum power generation. This paper presents variable speed control of a permanent magnet synchronous generator and maximum power point tracking for small hydro power plant. The INC-like maximum power point tracking algorithm is proposed and implemented. The experimental results validate the proposed algorithm. However the speed fluctuations are observed and have to be addressed in future study. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Experiment on Hierarchical Control Based Power Quality Enhancement for Standalone Microgrid(2018-10-22); Soontorntaweesub, KittichotA microgrid is a new paradigm of power grid which has triggered advancement toward a green, intelligent and power efficiency. Due to the intermittent nature of microgrid's resources and the unpredictable power demand, the microgrid's voltage and frequency may experience deviation. Therefore, the decentralized control which could provide a faster response is a must. In this paper, the decentralized hierarchical control is implemented to handle the microgrid issues and enhance the power quality. The first level deals with power sharing between parallel generator. The frequency restoration and energy storage control are implemented in the second level to handle the frequency deviation which results from the high integration of PV. The third level is based on the multiagent system to ensure supply-demand balancing, autonomous decision-making and real-time energy monitoring. A laboratory scale microgrid is build up to verify the proposed control. The experimental results prove the effectiveness of the proposed control throughout various operating condition. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Power and Phase Current Balancing Technique for Bidirectional Cascade Three-Phase CLLLC Resonant Converters(2025-01-01) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Comparison of Extended Kalman Filter and Long Short-Term Memory Neural Network for State of Charge Estimation of Lithium-Ion Battery(2023-01-01); The state of charge (SoC) estimation for lithium-ion batteries is an essential function of the battery management system (BMS) for ensuring reliable operation of electric vehicles. The nonlinear behavior of the battery makes estimating of SoC a challenging task. In this paper, SoC estimation based on model-based and data-driven methodology are implemented and compared. In the case of model-based estimation, static OCV-SOC test, AC impedance measurement and system identification technique are utilized to obtain accurate third order equivalent circuit model of the battery. Subsequently, SoC was estimated using Extended Kalman Filter (EKF). In the case of data-driven estimation, long short-Term memory recurrent neural network (LSTM-RNN) is adopted. The Input that fed into the network are terminal voltage and current, while output is SoC. The training set is WLTP Class 3 driving cycle, and the test set is WLTP Class 2 driving cycle. The performance of state estimation based on EKF and LSTM-RNN is evaluated through the RMSE. Considering only the accuracy of estimation, the SoC estimation using EKF is more accurate than LSTM-RNN, demonstrating the effectiveness of model-based state estimation.