Now showing 1 - 10 of 49
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    Electrical line losses indistribution system with the inclusion of very small power producer
    (2012-06-12)
    Chiradeja, Pathomthat
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    Distributed generation is becoming increasingly attractive to the power industry. Several distributed generation technologies such as wind energy systems, solar energy systems, biomass, and biogas are becoming economically viable. Thai government by the Department of Alternative Energy Development and Efficiency has issued the Renewable Energy Development Plan (REDP) in order to promote the usage of renewable energy. In addition, a policy that aims to increase the electric power generation from renewable energy is to expand the amount of electrical power to connect to the distribution system. After the implementing of this policy, both of the numbers and generation capacity of distributed generation who are willing to sell the electric power are significantly increasing. Under this policy, very small power producer (VSPP) has to pay the fee of 2% of its electrical energy sold to electricity utility. The main purpose of this fee is to cover the electrical line losses due to the employment of distributed generation (DG) or VSPP. However, the suitable and fairness for both VSPP and utility is still questionable. The goal of this paper is to analyze the effect of electrical line losses with the installing DG or VSPP into the distribution system. The results of this paper can be used and created the suitable and fairness of the fee for both VSPP and utility.
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    Classification of Capacitor Bank Switching Using Fuzzy Interference Systems in 230 kV Substation
    (2024-01-01)
    Patcharoen, Theerasak
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    ; ; ;
    Lertwanitrot, Praikanok
    Flexible AC transmission systems are used for enhancing the stability, transmission efficiency, and reliability of AC grids. Additionally, the most cost-effective devices for compensating reactive power are Mechanically Switched Capacitors (MSCs). This study proposes a novel algorithm for detection and capacitor bank switching transient signals in MSC, to prevent the protective relay maloperation by these transients. The Discrete wavelet transform (DWT) is used for effective time-frequency analysis and detection of measured three-phase current signals. DWT extracts the detailed wavelet coefficients of current signals at levels 1 to 30. In addition, the fuzzy inference system (FIS) has been used to determine the type of switching transient. The proposed combination of FIS and DWT has been tested on 230 kV substation and the result demonstrated precision for the identification and classification of both transient signals in MSC with 88% accuracy rate.
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    Coefficient comparison technique of discrete wavelet transform for discriminating between external short circuit and internal winding fault in power transformer
    (2012-01-01) ; ;
    Klomjit, J.
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    This paper proposes a technique for detecting and identifying internal winding fault of three-phase two-winding transformer which variations of coefficients of high frequency component obtained from DWT of differential current are analyzed. The maximum coefficient details of DWT are performed as comparison indicator in order to discriminate between internal fault and external short circuit. Various cases based on Thailand electricity transmission and distribution systems are studied to verify the validity of the proposed algorithm. Results show that the proposed technique has good accuracy to detect fault and to identify its position in the considered system.
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    Performance and electromagnetic compatibility of a photovoltaic power converter
    (2017-07-02) ;
    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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    Reduction of Impact from Voltage Sags During Faults in Distribution System by Installing Neutral Grounding Resistor
    (2025-01-01)
    Phannil, Natthanon
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    ;
    This research focuses on a small power producer operating a cogeneration power plant that utilizes natural gas as fuel to generate electricity. The plant, with a capacity of 90 MW, supplies both electricity and steam to industrial customers within a designated industrial zone. Power is delivered to four feeder industrial customers and the Electricity Generating Authority of Thailand (EGAT) at voltage levels of 115 kV and 22 kV. The five customers connected to Feeder 4 at 22 kV experienced voltage sags caused by short circuits in the distribution system. These sags had a significant impact on their production processes, as the machinery in their factories is interdependent and requires high-quality power to function properly. Certain machines, being highly sensitive to voltage fluctuations, stop operating if the voltage drops outside their acceptable range. This disrupts the production process, as the halted machinery must undergo recovery and restart procedures, which are time-consuming. Consequently, this downtime leads to delays and lost revenue opportunities for the affected customers. This issue is a significant concern for factories in industrial estates. Therefore, to address this problem, this research focuses on studying methods to mitigate the impact of voltage sags by installing a Neutral Grounding Resistor (NGR). The study simulates the distribution system during a single line to ground fault. This research examines the effects of voltage sags to inform the design of NGR installations, including investment and cost-effectiveness for resistances of 0, 6, 13, 19 and 26 ohms. Simultaneously, the study also investigates the potential for voltage swell in the distribution system due to the installation of the NGR. The study is conducted using MATLAB Simulink simulations. The findings suggest that installing an NGR with a resistance of 13 ohms is the optimal choice, offering optimal voltage sag, voltage swell, and fault current performance. The budget for the NGR installation by a contractor is approximately 1,000,000 THB, while the total cost for replacing the surge arresters in the system would be 135,000 THB.
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    An Evaluation Study on Electric Appliance Characteristics and Load Patterns in Residential Buildings
    (2026-01-01)
    Thongsuk, Surakit
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    Songsukthawan, Panapong
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    Sottiyaphai, Chayanut
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    Energy usage in residential buildings has been constantly increasing as work-from-home trends continue to maintain popularity. To improve energy efficiency, the load profile and electric appliances in households need to be established and analyzed. This study aims to evaluate the characteristics of electric appliances that are commonly used in residential buildings under various operating conditions. An experimental setup with household electric appliances was built, and power quality meters were installed to assess the patterns under various operating conditions. In addition, the usage patterns were used to construct the daily load profile and analyze the energy consumption in residential buildings. The results demonstrate that load patterns constructed from actual measurements can achieve an accurate depiction of energy usage in residential buildings. The obtained load profile can be used in load control to improve energy efficiency and the application of renewable energy in demand reduction.
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    Identification of the fault location for three-terminal transmission lines using discrete wavelet transforms
    (2009-12-16)
    Chiradeja, P.
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    This paper proposes a technique to detect fault locations in a three-bus transmission system using discrete wavelet transform (DWT). The comparison among the first peak time in first scale of each terminal (buses) that can detect fault is performed and the two fastest first peak time obtained from comparison are used as an input data for traveling wave equation later. A comparison of results obtained from three different types of mother wavelet is discussed in order to identify the fault locations with an application of traveling wave theory. It is shown that the db4 mother wavelet produces better results than those from 'sym4' and 'coif4', with a mean error of less than 400 m.
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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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    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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    Discrete wavelet transform and back-propagation neural networks algorithm for fault classification on transmission line
    (2009-12-16) ;
    This paper proposes a technique using Discrete Wavelet Transform (DWT) and Back-Propagation Neural Network (BPNN) to identify the fault types on single circuit transmission lines. The ATP/EMTP is used to simulate fault signals. The mother wavelet daubechies4 (db4) is employed to decompose high frequency component from these signals. The variations of first scale high frequency component that detect fault are used as an input for the training pattern. The result has shown that the proposed technique gives satisfactory results.
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    Discrete wavelet transform and back-propagation neural networks algorithm for fault classification in underground cable
    (2011-07-26) ; ; ;
    Chiradeja, P.
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    This paper proposes a new technique using discrete wavelet transform (DWT) and back-propagation neural network (BPNN) for fault classifications on underground cable. Simulations and the training process for the back-propagation neural network are performed using ATP/EMTP and MATLAB. The mother wavelet daubechies4 (db4) is employed to decompose high frequency component from these signals. Positive sequence current signals are used in fault detection decision algorithm. The variations of first scale high frequency component that detect fault are used as an input for the training pattern. Various cases studies based on Thailand electricity distribution underground systems have been investigated so that the algorithm can be implemented. The results are shown that an average accuracy values obtained from BPNN can indicate the fault classification with satisfactory accuracy, and will be very useful in the development of a power system protection scheme.