Khomfoi, Surin

Preferred name

Khomfoi, Surin

Alternative Name

Khomfoi, S.

Main Affiliation

School of Engineering

surin.kh@kmitl.ac.th

Now showing 1 - 10 of 27

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Fault Detection and Predictive Maintenance Paradigm for Solar PV Systems
(2024-01-01)
Limpaporn, Poompat
;
Khomfoi, Surin
This research paper introduces the Box Plot model for the fault detection and degradation analysis in solar photovoltaic (PV) systems. The suggested method contains a mathematics equation and systematic flowchart algorithm to detect and categorize various fault types, such as direct current (DC) ground fault, DC overvoltage fault, and partial shading. The technique evaluates and monitors the performance and degradation of PV panel by processing comprehensive input data such as voltage, current, irradiance, temperature, power, solar PV systems related data and PV panel parameter data. The Box Plot model efficiently monitors fault analysis and degradation detection, adapting to various operational conditions with accuracy, resulting in a powerful tool for assessing the reliability and performance of solar PV systems. The Box Plot model is tested by using the three sets of the solar PV power plant collected data from the PV panel strings in the same array that nearby each other and verifying the Box Plot model effectiveness by comparing the model analysis result with the solar PV power plant operation and maintenance report. This methodology makes a major contribution to predictive maintenance operations and ensuring more reliability for the PV systems.
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Hamiltonian-Differential Flatness Control Laws for Battery/Ultracapacitor for Hybrid Electric Vehicle Applications
(2023-01-01)
Mungporn, Pongsiri
;
Khomfoi, Surin
;
Inteeworn, Ridtee
;
Gonmanee, Apinun
;
Pierfederici, Serge
This paper introduces the Hamiltonian-differential flatness control laws specifically designed for battery and ultracapacitor (UC) hybrid vehicle systems. The main goal of these control laws is to effectively manage power flow and optimize energy utilization in hybrid systems combining batteries and UC. The proposed control laws use Hamiltonian control and differential flatness techniques to dynamically regulate the energy distribution between the battery and UC, particularly in the context of constant power load (CPL) challenges within DC Microgrid applications, including vehicle systems. To confirm the efficiency of the proposed control strategy, the experimental test bench has been set up with a Li-ion battery module (LFeLi-48100TB, 48 Vdc, 100 Ah) and a UC module with a capacitance of (188.88 F, 51.3 V.) Finally, the experimental results confirm the exceptional performance of the studied control law throughout the load-drive cycles.
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Smart Home Energy Management using BEVSE for Vehicle-to-Home (V2H) Systems
(2025-01-01)
Ketjaem, Supakorn
;
Khomfoi, Surin
This paper presents a method for managing household energy consumption and production in homes utilizing electric vehicles (EVs). The approach integrates a Home Energy Management System (HEMS) with Bidirectional Electric Vehicle Supply Equipment (BEVSE), which enables both charging and discharging of EVs using Vehicle-to-Home (V2H) and Vehicle-to-Grid (V2G) technologies. These technologies allow EVs to supply power to household appliances and feed energy back into the grid while ensuring that energy consumption and distribution remain within the meter's capacity limits. Simulation results from MATLAB Simulink demonstrate that this approach helps prevent potential damage to the power system, mitigates energy shortages, and enhances grid stability.
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A Review of Converters for Green Hydrogen Generation in Consideration of Renewable Energy
(2024-01-01)
Vivanthanarot, Saman
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Khomfoi, Surin
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Phophongviwat, Teeraphon
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Somboonpanya, Nattapon
;
Phongsawat, Suwaphit
Hydrogen is set to revolutionize the future energy landscape with its wide-ranging applications across various sectors. With global decarbonization objectives, water electrolysis provides a sustainable way to produce hydrogen, especially when it is driven by renewable energy sources. This process predominantly utilizes grid electricity, but the growing implementation of renewable energy-powered microgrids presents an attractive alternative for hydrogen production. The produced hydrogen can be used not only for electrical generation within the microgrid but also for local heating and as a fuel for transportation. Power converters are crucial in ensuring stability and reliability in hydrogen production. The paper reviews the power electronics converters required to match the DC and AC voltage source with the needs of electrolyzers. Moreover, this paper explores the technologies of electrolyzers powered by renewable energy sources, with a particular focus on wind turbines and PV.
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Electric Vehicle Charging Station incorporating with an Energy Management and Demand Response Technique
(2022-01-01)
Peanjad, Pannawat
;
Khomfoi, Surin
A study of Demand Response (DR) function and Energy management for an electrical vehicle (EV) charger is presented in this paper. The proposed technique is to prevent the electrical system within the rated power by controlling electric vehicle chargers loads to the electrical system. A power management method for limiting the charging current and charging time by using state of charge (SoC) as a priority point index is developed. The power management method is also developed as a calculation algorithm for determining the charging current limit rating for electric vehicle chargers. The simulation model is also developed for validating a DR management function of the electric vehicle charger according to Provincial Electricity Authority of Thailand (PEA) load characteristic data. The results show that the proposed DR function can manage the charging current of each electric vehicle charger appropriately. Also. the proposed technique can prevent the rated power demand of the transformer distribution. The study illustrates that this method is an effective protection for the distribution transformer and can be able to apply as a DR function to manage electrical energy more efficiently.
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Coordinated Control of Electric Vehicles and Renewable Energy Sources for Frequency Regulation in Microgrids
(2020-01-01)
Jampeethong, Phoompat
;
Khomfoi, Surin
A Control technique of electric vehicles (EVs) cooperating with ac microgrids is considered as an important role with integration of renewable energy sources (RES), i.e. wind and solar farms. As known, the intermittent power generations of these RESs can provide significant changes of the frequency in microgrids. Consequently, outputs of these generations are regarded as continuous disturbances. Previously, the ability to permit frequency stabilizing effect was usually neglected in microgrid design; thereupon, the performance of controller may be ineffective to regulate the frequency in such a microgrid. To address this problem, a new coordination of EV, wind farm (WF), and photovoltaic (PV) for microgrid frequency regulation is proposed in this article. In the control design, the proposed adaptive PI controller is developed by using practical proportional integral (PI) controllers. An effect of a small delay is also considered in input-output pairs of the adaptive PI controllers. Simulation model is developed for validating the proposed controller. Simulation results demonstrate that the proposed coordinated control technique of EVs, WF, and PV power generation provides a better frequency regulation performance than a fixed PI controller under various uncertainties such as wind and solar power fluctuations, N-1 outages, disconnection of RESs, load variations, and the number of EVs.
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Non-isolated Onboard EV Charger Controller Design Based on Port-Hamiltonian Approach
(2023-01-01)
Somboonpanya, Nattapon
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Khomfoi, Surin
;
Phophongviwat, Teeraphon
The growth of the electric vehicles (EVs) market and the inadequacy of EV infrastructure, especially EV charging station, have led to an increase in charging EVs at home or the workplace. Onboard EV chargers (OBCs) have been installed on electric vehicles to charge batteries. The trend of increasing power rating and minimized sizing of OBCs, the improvement in stability and performance has been interesting. This paper demonstrates non-isolated EV onboard chargers with controller design based on Port-Hamiltonian control law to approach a robust control system and operate under wide operating range. Finally, the feasibility of the proposed control scheme is validated through experiment in laboratory.
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Wireless Power Transfer System for Autonomous Driving Robot Battery Charging
(2023-01-01)
Pairindra, Worapong
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Khomfoi, Surin
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Takorabet, Noureddine
;
Thounthong, Phatiphat
This paper presents a prototype of a 48V, 200W with 85 kHz wireless power transfer. The load-independent charging topology consists of an LCC/C resonant tank that provides an autonomous driving robot that is used in many industrial applications. The validation is carried out using MATLAB/Simulink and hardware implementation. The rear side battery can apparently be charged with a 15cm distance between two coils and the output voltage can be controlled at a specific level with approximately 70% efficiency.
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State of Health Estimation of LFP Batteries Using DC Internal Resistance and Neural Network
(2022-01-01)
Peanjad, Pannawat
;
Manee-Inn, Chaitouch
;
Khomfoi, Surin
Studying the state of health estimation of lithium-ion phosphate batteries (LFP) using an Artificial neural network (ANN). This research examines the relationship between DC internal resistance and the state of health (SoH) of batteries. The advantage of DC internal resistance measurement is that it does not require battery removal from the system. Analysis of degradation patterns in the application of several cycles. Then apply the previously studied relationship to train the ANN to design and test the model with other battery packs. As a result, the error value is acceptable. ( MAE = 9.06%, MSE = 1.23% and RMSE = 11.11% ). Thus, this ANN Model can assist in the early detection of a potential battery failure due to battery degradation.
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The Development of a 1 kW Mid-Range Wireless Power Transfer Platform for Autonomous Guided Vehicle Applications Using an LCC-S Resonant Compensator
(2025-06-01)
Pairindra, Worapong
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Phongsawat, Suwaphit
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Phophongviwat, Teeraphon
;
Khomfoi, Surin
This study presents the development, simulation, and hardware implementation of a 48 V, 1 kW mid-range wireless power transfer (WPT) platform for autonomous guided vehicle (AGV) charging in industrial applications. The system uses an LCC-S compensation topology, selected for its ability to maintain a constant output voltage and deliver high efficiency even under load variations at a typical coil distance of 15 cm. It can also operate at different distances by adjusting the compensator circuit. A proportional–integral (PI) controller is implemented for current regulation, offering a practical, low-cost solution well suited to industrial embedded systems. Compared to advanced control strategies, the PI controller provides sufficient accuracy with minimal computational demand, enabling reliable operation in real-world environments. Current adjustment can be dynamically carried out in response to real-time changes and continuously monitored based on the AGV battery’s state of charge (SOC). Simulation and experimental results validate the system’s performance, achieving over 80% efficiency and demonstrating its feasibility for scalable, robust AGV charging in Industry 4.0 Manufacturing Settings.

Khomfoi, Surin

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