Polmai, Sompob

Preferred name

Polmai, Sompob

Alternative Name

Polmai, S.

Main Affiliation

School of Engineering

sompob.po@kmitl.ac.th

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Experiment on fault current limiting by a single-phase bridge type fault current limiter with DC and AC reactors
(2010-12-01)
Sujjapan, Noppadol
;
Polmai, Sompob
This paper presents description of configuration and operation principle of a solid-state bridge-type SSFCL with DC and AC reactors. In this configuration the short-circuit limitation takes effect immediately after the fault by DC and AC reactor. The DC reactor is separated from the fault circuit after a half cycle period leaving only AC reactor for steady-state current limitation. This SSFCL is planned for used in microgrid for reliability enhancement and improve power quality at the point of common coupling. The laboratory-scale single phase model of a SSFCL is built for evaluation and validation. The experimental results are compared with the simulation result for confirmation.
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Generalized regression networks for partial discharge classification
(2016-01-18)
Pattanadech, N.
;
Nimsanong, P.
;
Potivejkul, S.
;
Yuthagowith, P.
;
Polmai, S.
This document represents a partial discharge (PD) classification by using Generalized Regression Networks (GRNN) model. Two PD classification models, GRNN1 with 11 input variables and GRNN2 with 3 selected derived statistic parameters, were investigated for classification of PD signals into 5 patterns, corona at high voltage side in air, corona at low voltage side in air, corona at high voltage side in mineral oil, corona at low voltage side in mineral oil and surface discharge in mineral oil. The conventional PD measurement was performed for measuring PD signals of the artificial PD models. The statistical parameters of the PD signals such as skewness, kurtosis, asymmetry, cross correlation and so on were calculated from the developed computer program. Then, 60% of the experimented data was used as a training data for the developed PD classification models. Another 40% experimented data was used to evaluate the performance of the designed PD classification models. It was found that the GRNN1 model can classify PD patterns better than GRNN2 model. The accuracy for PD classification of GRNN1 model was 100% while the accuracy of GRNN2 model was 97.5% of 40 testing data.
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Improvement of output dynamic performance of an average current mode controlled buck converter with a parallel controller
(2010-09-17)
Chrin, P.
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Trakuldit, S.
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Polmai, S.
;
Bunlaksananusorn, C.
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.
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Low voltage series arc fault detection using rogowski coil
(2018-08-13)
Sritrai, Eakburin
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Kittiratsatcha, Supat
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Polmai, Sompob
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.
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Experiment on distributed cooperative control with multi-agent system for a single-phase microgrid
(2015-08-17)
Leng, Darith
;
Polmai, Sompob
In a microgrid, electric generation is based on combination of small generators and renewable resources such as solar and wind. The operating conditions of the microgrid are dynamically altered by both the load and the intermittent nature of the renewable resources. To maintain the voltage and frequency stability of such microgrid, this paper presents distributed cooperative control of a microgrid using multi-agent system. The multi-agent system is implemented by using Mobile-C based on Client-Server architecture, and Ch and Embedded Ch as the agents run time. Serial communication is implemented for data exchange between agents and microgrid elements. To validate the effectiveness of the proposed control system, two scenarios have been experimented. The experimental results demonstrate the generator connecting/disconnecting and load shedding ability of the microgrid.
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A Transformerless Multi-Cell Solid-State Fault Current Limiter for Medium Voltage Power System
(2018-10-22)
Techama, Pantarote
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Polmai, Sompob
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Bunlaksananusorn, Chanin
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.
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Partial discharge classification using probabilistic neural network model
(2016-01-18)
Pattanadech, N.
;
Nimsanong, P.
;
Potivejkul, S.
;
Yuthagowith, P.
;
Polmai, S.
The aim of this paper is to propose the probabilistic neural network (PNN) model for classification partial discharge (PD) patterns, which comprised of corona discharge at high voltage side and at low voltage side in air, corona discharge at high voltage side and at low voltage side in mineral oil and surface discharge in mineral oil. Partial discharge signals were investigated by conventional method according to IEC60270. Independent parameters such as skewness, kurtosis, asymmetry, and cross correlation of the Φ-q-n PD patterns were analyzed. The PNN PD classification model was constructed. Moreover, the principal component analysis (PCA) was utilized to reduce the input dimension of the developed PD classification model. After that, 60% of the experimented data was used as a training data for the PD classification models. Another 40% experimented data was used for evaluation the performance of the designed PD classification models. Effects of spread parameters and input neuron numbers on the PD classification performance were examined. It was found that the first four score variable was appropriate to be used to construct the designed PNN model with the optimal spread value of 1.2. The proposed PD classification model can classify PD types with the accuracy of 100% of 40 tested data.
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The efficiency improvement of series connected PV panels operating under partial shading condition by using per-panel DC/DC converter
(2011-08-12)
Saranrom, Wuttichai
;
Polmai, Sompob
The influence of partial shading on series connected photovoltaic (PV) panels lowers the energy yield of the PV power generating system. It causes multiple maximum power points (MPPs) on the power-voltage (P-V) characteristic of a PV string connecting to a converter/inverter unit. With conventional maximum power point tracking (MPPT) algorithm, the controller may track a local MPP, instead of the global one, resulting in a reduction of output power of the PV system. Even if the MPPT techniques may be able to track the global MPP, the resultant output power obtained always less than the summation of the allowable maximum power of independent PV panels operating under the same condition. The aims of this paper are to study and propose the method which uses a concept of individual DC/DC converters per panel in order to improve the performance of the PV power generating system operating under partial shading condition. Matlab/Simulink simulation is conducted to show the efficiency improvement of the proposed system. © 2011 IEEE.
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Experiment on Hierarchical Control Based Power Quality Enhancement for Standalone Microgrid
(2018-10-22)
Leng, Darith
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Polmai, Sompob
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Soontorntaweesub, Kittichot
A 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.
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Transient respond comparison between modified droop control and virtual synchronous generator in standalone microgrid
(2019-07-01)
Leng, Darith
;
Polmai, Sompob
The inverter-based distributed generator (DG) plays a major role to solve the worldwide energy demand increasing and the environmental concern. The DG which controls by traditionally grid-connected current control confront some problems such as lacking the grid-forming ability and inertia. Therefore, the DG could not operate in standalone, and the DG's penetration rate is limited. To address these issues, the control strategy which imitates the synchronous's generator characteristic called droop control and virtual synchronous generator (VSG) are proposed recently. Seeing the potential of both control; this paper aims to investigate the dynamic performance of modified droop control and VSG. A simulation model of parallel DGs supply to a group of the load in the form of a standalone microgrid is implemented in MATLAB/Simulink. Two case studies such as power-sharing and load transient are carried out. The results have shown that VSG provides the outperform compare to the modified droop control when a large load transition is applied.

Polmai, Sompob

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