Pothisarn, Chaichan
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Preferred name
Pothisarn, Chaichan
Alternative Name
Pothisarn, C.
Main Affiliation
Email
chaichan.po@kmitl.ac.th
26 results
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Item type:Publication, Classification of Capacitor Bank Switching Using Fuzzy Interference Systems in 230 kV Substation(2024-01-01); ; ; Lertwanitrot, PraikanokFlexible AC transmission systems are used for enhancing the stability, transmission efficiency, and reliability of AC grids. Additionally, the most cost-effective devices for compensating reactive power are Mechanically Switched Capacitors (MSCs). This study proposes a novel algorithm for detection and capacitor bank switching transient signals in MSC, to prevent the protective relay maloperation by these transients. The Discrete wavelet transform (DWT) is used for effective time-frequency analysis and detection of measured three-phase current signals. DWT extracts the detailed wavelet coefficients of current signals at levels 1 to 30. In addition, the fuzzy inference system (FIS) has been used to determine the type of switching transient. The proposed combination of FIS and DWT has been tested on 230 kV substation and the result demonstrated precision for the identification and classification of both transient signals in MSC with 88% accuracy rate. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Effects of Conditional Changes on High-Voltage Direct Current Transmission Line Characteristic(2022-01-01); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A phase diagram approach to the detection and location of faulty capacitor units in A 115-kV capacitor bank based on unbalanced current arguments(2023-03-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Behaviour analysis of H-bridge high-voltage capacitor banks fault on 230-kV substation using discrete wavelet transform(2023-11-01); The protection of traditional high-voltage capacitor banks relies on an unbalance relay which operates when an internal fuse is blown. However, the unbalance relay cannot indicate the cause of the fault. Thus, an operator wastes time and human resources investigating the fault issues. In this paper, a fault which occurred in a 230-kV power system of Electricity Generating Authority of Thailand was observed by performing simulations using the Power Systems Computer Aided Design (PSCAD) program. The study system based on the double bus station and 72 MVAR capacitor banks was installed in the form of a back-to-back topology. Three scenarios were considered: normal condition, fault occurrence in one capacitor bank and fault occurrence in both capacitor banks. Current characteristics such as the current phase and difference in unbalance current were considered. In addition, discrete wavelet transform was applied to solve the ambiguity of current generated from the PSCAD. The authors’ results suggest that identifying fault events using a coefficient of wavelet is more efficient than relying on the current amplitude. The findings mentioned in this paper can be applied in a traditional power system protection scheme to enhance a system's reliability. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Reduction of Impact from Voltage Sags During Faults in Distribution System by Installing Neutral Grounding Resistor(2025-01-01); This research focuses on a small power producer operating a cogeneration power plant that utilizes natural gas as fuel to generate electricity. The plant, with a capacity of 90 MW, supplies both electricity and steam to industrial customers within a designated industrial zone. Power is delivered to four feeder industrial customers and the Electricity Generating Authority of Thailand (EGAT) at voltage levels of 115 kV and 22 kV. The five customers connected to Feeder 4 at 22 kV experienced voltage sags caused by short circuits in the distribution system. These sags had a significant impact on their production processes, as the machinery in their factories is interdependent and requires high-quality power to function properly. Certain machines, being highly sensitive to voltage fluctuations, stop operating if the voltage drops outside their acceptable range. This disrupts the production process, as the halted machinery must undergo recovery and restart procedures, which are time-consuming. Consequently, this downtime leads to delays and lost revenue opportunities for the affected customers. This issue is a significant concern for factories in industrial estates. Therefore, to address this problem, this research focuses on studying methods to mitigate the impact of voltage sags by installing a Neutral Grounding Resistor (NGR). The study simulates the distribution system during a single line to ground fault. This research examines the effects of voltage sags to inform the design of NGR installations, including investment and cost-effectiveness for resistances of 0, 6, 13, 19 and 26 ohms. Simultaneously, the study also investigates the potential for voltage swell in the distribution system due to the installation of the NGR. The study is conducted using MATLAB Simulink simulations. The findings suggest that installing an NGR with a resistance of 13 ohms is the optimal choice, offering optimal voltage sag, voltage swell, and fault current performance. The budget for the NGR installation by a contractor is approximately 1,000,000 THB, while the total cost for replacing the surge arresters in the system would be 135,000 THB. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, An Evaluation Study on Electric Appliance Characteristics and Load Patterns in Residential Buildings(2026-01-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Transient Analysis to Distinguish Mechanically Switched Capacitors Using Discrete Wavelet Transform and Artificial Intelligence(2026-01-01); ; Capacitor banks are widely used in modern power systems for reactive power compensation and voltage regulation. However, switching operations of mechanically switched capacitors (MSCs) can generate transient phenomena, such as inrush currents, which may resemble fault currents and lead to misoperation of protection systems. Therefore, accurate detection and classification of transient events are essential for reliable system operation. This study proposes a hybrid approach for transient signal analysis and classification by integrating the discrete wavelet transform (DWT) with artificial intelligence (AI) techniques, including probabilistic neural networks and fuzzy inference systems (FIS). The DWT performs time–frequency analysis to extract multi-scale wavelet features from three-phase current signals. The proposed method enables both discrimination between inrush and fault currents and multi-class classification of transient events among six capacitor switching conditions, namely base case, pre-insertion resistor, pre-insertion inductor, current limiting reactor, 6% reactor, and synchronous closing. The methodology is validated using PSCAD/EMTDC simulations under isolated and back-to-back capacitor switching scenarios. The results demonstrate that the proposed DWT–AI approach achieves high classification accuracy exceeding 95%, outperforming conventional methods based on DWT alone and DWT combined with FIS. Furthermore, the proposed method improves protection system performance by reducing false tripping caused by transient inrush currents, while maintaining reliable fault detection capability. The findings confirm that integrating time–frequency signal processing with AI-based classification provides an effective and practical solution for transient event discrimination in MSC capacitor bank systems. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Wavelet Transform and Artificial Intelligence for Unbalanced Current Protection of 230kV Capacitor Switching Transient Inrush Current(2021-01-01); High transient inrush currents from back-to-back capacitor switching can cause the maloperation of protective relays, especially the instantaneous overcurrent (50) and unbalanced current protection relays (60C). This paper presents a combination of discrete wavelet transforms and artificial intelligence as an efficient technique to analyze the inrush current switching. The discrete wavelet transform is used to detect and classify either isolated or back-to-back capacitor switching transient signals. After that, the output from wavelet coefficients acts as the artificial intelligence input for discriminating the 6-difference cases of transient inrush current mitigation methods by using the combination of discrete wavelet transform and fuzzy inference system and discrete wavelet transform and probabilistic neural network. The proposed technique of discrete wavelet transform for detection and classification shows enhanced performance accuracy of 100 %. The fuzzy inference system and probabilistic neural network that can discriminate the inrush current mitigation methods have a high accuracy of 90.57 % and 96.72 %, respectively. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Study on Installation of Neutral Ground Resistance in Very Small Power Plant Transformer(2022-01-01); ; Faults in the distribution system of the Thai electrical system occur frequently. Such faults directly affect the protective equipment of the distribution system. The protective device disconnects the circuit unnecessarily on many occasions because it detects a higher current than expected. In this study, a 22-kV distribution system and a very small power plant (VSPP) were connected. The system consists of two feeders. Feeder 1 supplies electricity directly to the load; a fault was enforced in this feeder. Feeder 2 supplies electricity directly to the load; the VSPP was connected to this feeder. The fault in Feeder 1 was simulated, and the behavior of the defense system was studied. Unnecessary disconnection of the VSPP circuit took place because the high fault current caused the overcurrent protection relay to operate instantaneously. Therefore, a neutral ground resistance was installed at the VSPP transformer to reduce the fault current, extend the relay operating time to the delay range, and reduce unnecessary disconnections of the overcurrent protection relay of the VSPP. In addition, when a fault occurs in the distribution system, the faulted phase voltage decreases, whereas the non-faulted phase voltage increases. Surge arresters and voltage transformers must be able to withstand an increase in voltage. This is also explained and discussed in this paper. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Design and techno-economic evaluation of a nanogrid system for a small-scale public railway station building in Thailand(2025-12-01);