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Analysis of interturn fault characteristics in single phase transformer using experimental setup
(2017-01-30)
Bunjongjit, S.
;
Klomjit, J.
;
Ngaopitakkul, A.
This paper aims to study characteristics of interturn fault in a single-phase transformer using an experimental setup. Conventional dry-type single-phase transformer rated of 15 kVA and voltage of 220/440 V has been used in the experiment. The winding of transformer was separated as three sub-coils and to evaluate characteristics of interturn fault, the short-circuit between the sub-coil of high voltage side has been performed as the interturn fault. The obtained results show that the behavior of the winding fault is important for developing a fault detection scheme.
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An experimental setup investigation to study characteristics of fault on transmission system
(2015-01-01)
Yindeesap, P.
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Ngaopitakkul, A.
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Pothisarn, C.
;
Jettanasen, C.
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.
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Impact of multi-distributed generation on key parameter in distribution system
(2015-01-01)
Ananwattanaporn, S.
;
Ngaopitakkul, A.
In recent year Distributed generation (DG) has become a point of interest in many countries due to several advantages such as improvement in power reliability, reduction of loss in transmission system, improved efficiency in network and lower environment impact. With this much benefit many networks working on integrate renewable energy source DG to the grid connection. Although it has many advantages, installation of DG in distribution network create several effect on the system. One of major effect is the fault current during a grid disturbance because DG changes the grid contribution to the fault current depending on the penetration level, locations and type of DGs, the operation of the protective system can be affected. In network that already has DG connected installing a new DG in network result in significant chance in fault current. Many research has been done such as effect of connecting DG in distribution network. This paper proposes an impact of multi-DG on distribution system characteristic when fault occur. System under studied is 22-kv distribution network with photovoltaic (PV) array and Wind Power Generation using PSCAD/EMTP program. Key parameter such as System current, voltage were obtained in simulation. Result from simulation reveal that DG has an effect on distribution system characteristic. Obtaining data from research can be used to design protection system for distribution system in the future.
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Differential protection schemes for classification of fault detection between external fault and internal winding fault in transformer using probabilistic neural network
(2012-12-01)
Jettanasen, C.
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Klomjit, J.
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Positharn, C.
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Bunjongjit, S.
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Ngaopitakkul, A.
This paper proposes an algorithm based on a combination of discrete wavelet transform (DWT) and probabilistic neural network (PNN) for discriminating between external fault and internal winding fault in power transformer. The coefficients of the first scale from the DWT that can detect fault are investigated. The maximum coefficients details (cD1) from DWT in first scale at 1/4 cycle of phase A, B, C and zero sequence for post-fault differential current waveforms have been used as an input for the training process of the PNN in a decision algorithm. Various cases studies based on Thailand electricity transmission and distribution systems have been investigated so that the algorithm can be implemented. The results show that the proposed algorithm is capable of performing the fault detection with satisfactory accuracy. © 2012 IEEE.
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Identification of fault types for a three-bus transmission network using Discrete Wavelet Transform and probabilistic neural networks
(2007-12-01)
Patcharoen, T.
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Ngaopitakkul, A.
;
Kunakorn, A.
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.
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Discrete wavelet transform and probabilistic neural networks algorithm for identification of fault locations on transmission systems
(2004-12-01)
Ngaopitakkul, A.
;
Kunakorn, A.
;
Bunjongjit, S.
This paper proposes a new algorithm for detecting faults in an electric power transmission 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 locations on the transmission system. Simulations and the training process for the neural network are performed using ATP/EMTP and MATLAB. It is found that the proposed algorithm gives satisfactory results, and will be very useful in the development of a power system protection scheme. © 2004 IEEE.

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