Ngaopitakkul, Atthapol
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Ngaopitakkul, Atthapol
Alternative Name
Ngaopitakkul, A.
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Email
atthapol.ng@kmitl.ac.th
18 results
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Item type:Publication, Fault classification in transformer using low frequency component(2017-12-13); ; - 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, The combination of discrete wavelet transform and fuzzy logic algorithm for fault classification on transmission system(2012-10-01)In the literature for fault classification, several decision algorithms have different solutions and techniques. The most research works have only considered the fault diagnosis for single bus systems and two-bus systems. In fact, transmission lines are connected to each other and become a large grid connected system. During faults, it is necessary for the protection system to deal with a complicated transmission network. This paper proposes a new technique using discrete wavelet transform (DWT) and Fuzzy Logic in order to identify the fault types on transmission systems. The DWT is used to detect the high frequency components from these signals. Positive sequence current signals are used in fault detection decision algorithm. The variations of first scale high frequency component that detects fault are used as an input for the fuzzy logic. Various cases studies based on Thailand electricity transmission systems have been investigated so that the algorithm can be implemented. Fuzzy logic is also compared with the comparison of the coefficients DWT technique. The proposed method gives satisfactory accuracy, and will be very useful in the development of a modern protection scheme for electrical power transmission systems. ICIC International © 2012. - 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, Differential protection schemes for classification of fault detection between external fault and internal winding fault in transformer using probabilistic neural network(2012-12-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Comparison of mother wavelet for classification fault on hybrid transmission line systems(2017-07-01); Sreewirote, BanchaThis paper proposes comparison mother wavelets for fault classification on hybrid transmission line systems. Hybrid system consists of overhead line and underground cable of 115 kV. ATP/EMTP software has been used for generating fault signals. Then it varies location of fault, fault type and angle. Current signals and zero sequence are analyzed by Discrete Wavelet Transform (DWT) in MATLAB software. DWT decomposes high frequency components from fault signals. Coefficient in scale 1 has been decomposed from Mother Wavelets such as Daubechies (db), Symlets (sym), Biorthogonal (bior) and Coiflets (coif). The coefficient for any mother wavelet has same behavior but different value. Design algorithm for fault classification and compare the result. Therefore, comparison of mother wavelet for fault classification is important to provide the high accuracy. Daubechies (db) can give accuracy more than any mother wavelet. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Identification of fault types for a three-bus transmission network using Discrete Wavelet Transform and probabilistic neural networks(2007-12-01); This paper proposes a new algorithm for detecting faults in an electric power transmission network system. The Discrete Wavelet Transform (DWT) and probabilistic neural network (PNN) are used in order to detect the high frequency components and to identify fault types on a three-bus transmission network with a loop structure. Simulations and the training process for the neural network are performed using PSCAD/EMTDC and MATLAB. It is found that the proposed algorithm gives satisfactory results, and will be very useful in the development of a modern protection scheme for electrical power transmission network systems. © 2007 RPS. - 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, Study of Multi-distributed Generation Behavior when Fault Occurrence in Distribution System Using Wavelet Transform(2016-12-28); In the last decade the number of power generation using renewable energy has been rapidly increased due to the energy and environmental issue. This trend in renewable energy has shifting power generation system from Centralized Generation (CG) to Distributed Generation (DG). With the new power generation on conventional distribution system, Analysis on disturbance must be done to ensure safety and reliability of the system. This paper aim to analyze behavior of transient signal when disturbance occur in distribution system with distributed generation. System under study is 22kV distribution system consist of wind power generation unit. Simulation was done by using PSCAD/EMTP program. The Discrete Wavelet Transform (DWT) is applied for decomposition of fault signal. To evaluate wavelet characteristic when fault occur in the system, Comparison in case of distribution system with and without wind power generation were done. Result indicated that with distributed generation, fault level is increasing and cause a changing in wavelet signal characteristic. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, An experimental setup investigation to study characteristics of fault on transmission system(2015-01-01); ; This paper proposes the experimental setup for studying the characteristics of fault caused by balance and unbalance on a transmission system. The parameters of transmission system (inductance and capacitance) are calculated based on forms of transmission tower, size of conductor, types of conductor and arrangement of transmission line and, they normalized to obtain the values in the π- equivalent circuit model at voltage level of 400 V. In addition, the ATP/EMTP is used to compare the simulated results with the experimental setup in order to show the advantage of the experimental setup. The obtained results show that the similarity between the two waveforms. The experimental setup will be useful in the development of short-circuit protection system in laboratory.