Ngaopitakkul, Atthapol
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Ngaopitakkul, Atthapol
Alternative Name
Ngaopitakkul, A.
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Email
atthapol.ng@kmitl.ac.th
12 results
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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, Lightning location on 115-kV transmission line using travelling waves(2018-11-01); Leelajindakrairerk, MonthonA lightning strike can be very severe to the transmission system with high impulse current that can damage equipment and cause the operation of the system to be halted. However, currently used lightning location methodology that does not provide the desired accuracy. So, this paper proposed the lightning location methodology on the transmission line based on discrete wavelet transform (DWT) and travelling wave theory. The Alternative Transients Program/Electromagnetic Transients Program (ATP/EMTP) software has been used to simulate the transmission system using in this research. The comparative study between proposed and currently used has been done in order to evaluate the performance in term of accuracy to detect the lightning location on the transmission line. The result has shown that the proposed methodology can be achieved desire accuracy and can be further implemented in actual transmission line protection system in the future. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Impact of Wind Power Generation Sizing on the Characteristic of Distribution System Under Fault Condition(2022-01-01); ; ; Songsukthawan, PanapongIn the recent decade, there has been a rising concern in energy consumption and environmental issues. This trend has shifted the electric authority to focus from fossil fuel to renewable energy. The distributed generation (DG) using a renewable energy source has been raising. The presence of DG can cause using renewable energy sources to cause a technical issue on system protection and operation. This paper aims to study the impact of different DG size installations on the distribution system in terms of the system characteristics. The study is done in both normal conditions and in cases of fault occurrence. The system using in this research is a 22-kV distribution system consists of Wind Power Generation as the DG connected into the distribution line that modeled after part of the Provincial Electricity Authority (PEA) in the northern part of Thailand. The simulation was done using PSCAD software. The result from simulation reveals the impact of DG on the distribution system characteristics in terms of significant change in the measured current and voltage signal. Thus, the analysis of the impact of DG on the system must be done to ensure the reliability of the power system. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Influence of wind farm on distribution system: Current characteristics during fault occurrence(2018-01-01); ; ; ; Leelajindakrairerk, MonthonIn this past few years, installation of distributed generator (DG) has become topic of interest in many countries due to rapid increase in energy and environmental issue. Generating power from renewable source has been proposed to compensate fossil fuel that is currently depleted. Wind power is one of the renewable energy sources that gains a huge attention, and many utilities are connecting wind power to distribution system. This number is going to get higher in the near future. Research on influence of wind power on system must be done in order to ensure the reliability of power system. This paper aims to study an impact of wind power-integrated distribution system when fault occurs in the system for various conditions. Many factors capable of changing system characteristics have been taken into account such as distribution system consisting of multi-wind power generation, size of wind power generation, fault type, and location of fault. Distribution system under this study is modeled based on 22 kv distribution network of Provincial Electricity Authority (PEA) in Thailand. Simulation will be done by using PSCAD/EMTP. Result obtained from case studies will be used to analyze and evaluate the effect of installation of wind power. The result indicates that the DG contributes significant fault current to the system when fault occurs. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Internal Fault Classification Algorithm in Power Transformer Based on Discrete Wavelet Transform and Fuzzy Logic(2017-11-15); ; ; This paper proposed classification algorithm that combination of wavelet transform and fuzzy logic to classifying the internal fault type in power transform. The decision algorithm process, a structure of the fuzzy logic consists of 4 inputs and 1 output. The maximum ratio of DWT at & #xbc; cycle of phase A, B, C is performed as input variables while the output variables are designated corresponding to various types of internal faults. The 50 MVA, 115/23 kV three-phase power transformer has been modelled and simulate to evaluate the performance of proposed algorithm. The results show that the proposed algorithm gives satisfactory results, however, the overall accuracy indicates that this algorithm requires the further improvement. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Application of probabilistic neural networks using high-frequency components’ differential current for transformer protection schemes to discriminate between external faults and internal winding faults in power transformers(2021-11-01); ; Leelajindakrairerk, MonthonInternal and external faults in a power transformer are discriminated in this paper using an algorithm based on a combination of a discrete wavelet transform (DWT) and a probabilistic neural network (PNN). DWT decomposes high-frequency fault components using the maximum coefficients of a 1/4 cycle DWT as input patterns for the training process in a decision algorithm. A division algorithm between a zero sequence of post-fault differential current waveforms and the differential current coefficient in the 1/4 cycle DWT is used to detect the maximum ratio and faults. The simulation system uses various study cases based on Thailand’s electricity transmission and distribution systems. The simulation results demonstrated that the PNN and BPNN are effectively implemented and perform fault detection with satisfactory accuracy. However, the PNN method is most suitable for detecting internal and external faults, and the maximum coefficient algorithm is the most effective in detecting the fault. This study will be useful in differential protection for power transformers. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, An approach for voltage drop improvement in 22 kV PEA distribution system based on high voltage capacitor placement(2023-10-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Application of probabilistic neural network with transmission and distribution protection schemes for classification of fault types on radial, loop, and underground structures(2018-06-01); Leelajindakrairerk, MonthonThis paper proposes the development of transmission and distribution protection schemes to classify faults along transmission and distribution systems. The systems under consideration are composed of a 500-kV radial (two-bus single circuit), loop (three-bus double circuit) structure transmission systems, and a 115-kV radial structure underground distribution system. This complex system shows the advantage of the proposed method. A decision algorithm based on a discrete wavelet transform (DWT) and probabilistic neural network is investigated for inclusion in a transmission and distribution protection system. Fault signals in each case are extracted to several scales on the DWT to decompose high-frequency components from fault signals using the mother wavelet daubechies4. The maximum coefficients of a DWT at 1/4 cycle that can detect faults are used as input patterns for the training process in a decision algorithm. In addition, coefficients from a DWT technique and a back-propagation neural network algorithm are also compared with the proposed algorithm in this paper. Moreover, the real signal from an experimental set-up was investigated. Based on the accurate results for the simulation signal and real signal, it can be concluded that the proposed algorithm is adequate for other power systems with different line models and that it can be applied to actual systems even if the accuracy is slightly reduced by the effect of noise in an actual system. Thus, the overall results show that the proposed algorithm can detect a faulty bus and classify types of fault with satisfactory results. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Solar water heating in residential building(2019-07-01); ; ; Songsukthawan, PanapongThe electrical consumption has been rapidly increased in the past few decades. However, environment concern and depleting of fossil fuel lead to raise of alternative energy. One of the applications for solar energy that has gain significant attention is solar thermal for watering heating that can replace electricity. This paper aims to presents feasibility on solar water heating for residential building in Thailand. The analysis has been done on both energy performance and economic perspective using RETscreen software and Bangkok, Thailand as case study location in order to verify the feasibility of solar water heating application in residential building. The result has shown the potential of solar water heating system application in residential building as a replacement to conventional electrical water heating. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Application of support vector machines algorithm for discriminating between external fault and internal winding fault in power transformer(2014-02-04); ; ; Suechoey, BoonlertThe differential relaying principle is used for protection of medium and large power transformers. In the past decade, several decision algorithms have different solutions and techniques. This paper proposes a new technique using discrete wavelet transform (DWT) and support vector machines (SVM) to classify and discriminate between external fault and internal fault in power transformer. The DWT is used to detect the high frequency components from fault signals. The variations of first scale high frequency component that detects fault are used as input for the SVM. The proposed method gives satisfactory accuracy, and will be very useful in the development of a modern protection scheme for electrical power transmission systems. © 2014 ICIC International.