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    Performance and electromagnetic interference mitigation of DC-DC converter connected to photovoltaic panel
    (2019-11-01)
    Jettanasen, C.
    ;
    Pothisarn, C.
    Renewable energy has been rapidly increased in terms of installed capacity. However, the electronic components inside such a system can cause a serious threat such as Electromagnetic Interference (EMI) to nearby sensitive devices/equipment. This paper aims to study on performance of DC-DC boost converter connected to photovoltaic panel and how to reduce EMI emissions issued in the system. A passive EMI low-pass filtering is one of various mitigation techniques. The designed converter connected to photovoltaic panel and EMI filter are tested in both simulation software and field testing by using EN55022 standard as a reference.
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    Performance and electromagnetic compatibility of a photovoltaic power converter
    (2017-07-02)
    Jettanasen, C.
    ;
    Pothisarn, C.
    This study aims to evaluate the performance of DC-DC converter in photovoltaic system. Electromagnetic compatibility (EMC) characteristics, issues and its effect on photovoltaic power converter are performed and taken into consideration. ĆUK converter has been built in this research. The proposed filter circuit is also created and integrated in ĆUK converter in photovoltaic system, and tested in field testing. The EN 55011 standard has been applied as a reference in order to verify the performance of the proposed filter circuit in terms of Electromagnetic Interference (EMI) reduction in actual application.
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    Power loss analysis in distribution system comprising photovoltaic energy source
    (2017-01-30)
    Chiradeja, P.
    ;
    Pothisarn, C.
    The impact of power loss when renewable energy source is installed in distribution system is investigated. The distribution system is transferred from 115 kV, and 100 MVA into level of laboratory voltage 400 V, 150 VA distribution system converted by per-unit to 400 V, 150 VA using per-unit technique while the renewable source is simulated by using the simulator DC power (or photovoltaic simulator) with micro inverter. To study the characteristics and variation of power loss in distribution model, the size of load, and the location of renewable source are performed. The obtained result from experimental setup has been analyzed in terms of power loss. It can be seen that the distribution system can reduce the power loss when the renewable source is suitably interconnected in the distribution system.
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    An experimental setup investigation to study characteristics of fault on transmission system
    (2015-01-01)
    Yindeesap, P.
    ;
    Ngaopitakkul, A.
    ;
    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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    Improvement to reduce training time of back-propagation neural networks for discrimination between external short circuit and internal winding fault
    (2014-11-05)
    Bunjongjit, S.
    ;
    Ngaopitakkul, A.
    ;
    Pothisarn, C.
    ;
    Jettanasen, C.
    This paper proposes the improvement technique to reduce training time of back-propagation neural network. The decision algorithm based on the hybrid of discrete wavelet transform (DWT) and back-propagation neural network (BPNN) has been proposed to classify between external fault and internal fault in power transformer. The DWT is employed to decompose high frequency component of post-fault differential current signals and used as an input pattern for the training process of a neural network in a decision algorithm with a use of the BPNN. The proposed technique is compared with conventional training process of BPNN in terms of average accuracy and training time process. The obtained results show that the proposed technique can reduce of training process duration time and is very effective in classifying between external fault and internal fault in power transformer with satisfactory accuracy.
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    Selection of proper activation functions in back-propagation neural network algorithm for single-circuit transmission line
    (2014-01-01)
    Suttisinthong, N.
    ;
    Seewirote, B.
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    Ngaopitakkul, A.
    ;
    Pothisarn, C.
    This paper proposes an appropriate activation function for the fault classification decision algorithm. The decision algorithm based on the hybrid of discrete wavelet transform (DWT) and back-propagation neural network (BPNN) has been proposed to classify the fault type. The DWT is employed to decompose high frequency component of current signals. The maximum coefficient from the first scale at 1/4 cycle of phase A, B, and C of post-fault current signals and zero sequence current obtained by the DWT have been used as an input variable in a decision algorithm. The activation functions in each hidden layer and output layer have been varied, and the results obtained from the decision algorithm have been investigated with the variation of fault inception angles, fault types, and fault locations. The results have illustrated that the use of Hyperbolic tangent sigmoid function in the first and the second layers with Linear function in the output layer is the most appropriate scheme for the transmission system.
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    Analysis of electrical losses in transformers using artificial neural networks
    (2014-01-01)
    Suttisinthong, N.
    ;
    Pothisarn, C.
    This paper proposes a technique to analysis electrical losses in distribution transformers 1-phase 30 kVA using of back-propagation neural networks (BPNN). Experimental data at various temperature of transformers obtained from manufacturer, are employed as an input pattern for BPNN while output pattern which corresponding to total losses in transformers. The total number of test set are 150 sets in order to verify the validity of the proposes technique. The results show that average accuracy obtained from the proposes technique gives satisfactory accuracy.
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    Analytical study of harmonics issued from LED lamp driver
    (2014-01-01)
    Jettanasen, C.
    ;
    Pothisarn, C.
    Harmonics are always generated in any nonlinear electrical/electronic systems, and cause severe problems in terms of performance and operation. This paper focuses on analytical study of harmonics originated from LED lamps usually functioning using a driver. Since the driver is a switching device, it will be thus a direct harmonic and/or electromagnetic interference (EMI) source of the system. In order to suppress or reduce produced harmonics, a low-pass harmonic filtering technique is proposed and applied. The experimental results can reveal harmonic reduction effectiveness by comparing with lighting standard, which is herein IEC 1000-3-2 (or EN 61000-3-2); this confirms finally the Electromagnetic Compatibility (EMC) of the system.
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    Inrush current analysis for switching large shunt capacitor bank in a 230 kV substation system
    (2013-12-01)
    Patcharoen, T.
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    Ngaopitakkul, A.
    ;
    Pothisarn, C.
    This paper presents the simulation and investigation of switching large shunt capacitor bank in a 230kV Thailand substation system. Simulation is performed using PSCAD/EMTDC. The inrush current is generated by energizing of the 4×72 Mvar, 230 kV shunt capacitor banks. The purpose is to observe the inrush current to ensure safe and successful operations of the shunt capacitor banks. In addition, the effects of parameters such as sizing of current limiting reactor (CLR), pre-insert resistor (PIR) and 6% detuning reactor are investigated. The results of simulations are shown that the 6% detuning reactor can reduce inrush current more than other methods. © 2013 IEEE.
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    Relation among velocity of lightning travelling wave, lightning stroke current, and tower footing resistance to study back-flashover on the insulators in transmission tower
    (2013-01-01)
    Pothisarn, C.
    ;
    Thongsuk, S.
    This paper studies the impact of back-flashover on the insulators with various velocities of lightning travelling wave, the lightning stroke current, and the tower footing resistance. The impedance of transmission tower section such as top tower, upper phase, middle phase, and lower phase that is calculated with lightning velocity dependent parameters is also considered. The velocity of lightning travelling wave at 300 m/μs and 200 m/μs is compared to consider back-flashover including maximum voltage at the cross arm and voltage across insulators. The results is shown that the velocity of lightning travelling wave plays an important role for the back-flashover voltage across insulator as well as the tower footing resistance and the lightning stroke current. © 2013 Praise Worthy Prize S.r.l. - All rights reserved.