• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.1
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• pp.179-193
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• 2016

In power quality monitoring, voltage fluctuation is one of the power quality problems, which cause light flickers. To determine the flicker severity, the flicker meter concept was developed in an IEC 61000-4-15 standard. Generally, voltage fluctuations are described as an amplitude modulation(AM). The flicker meter of IEC 61000-4-15 as an international standard for flicker measurement recommends square demodulation method to detect flicker signals from voltage fluctuation signals. This paper suggests a new effective method using filter bank to detect and estimate flicker signals, which do not need square demodulation. For the accurate detection of flicker signals, the filter bank is designed with a full consideration of the spectrum characteristics of voltage fluctuation signals described as AM. The frequency and magnitude of the detected flicker signals are estimated using recursive method. Computer simulations were performed on synthesized signals to prove validity of the proposed method.

• Proceedings of the Korean Nuclear Society Conference
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• 2005.10a
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• pp.1087-1088
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• 2005

• The KSFM Journal of Fluid Machinery
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• v.16 no.4
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• pp.35-43
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• 2013

Most of the nuclear power plants(NPPs) adopts pressure difference type flow meters such as venturi and orifice meters for the measurement of feedwater flow rates to calculate reactor thermal power. However, corrosion products in the feedwater deposits on the flow meter by fouling as operating time goes. These effects lead to severe errors in the flow indication and then determination of reactor thermal power. The averaging BDFT, which has developed by Yun et al., has a potentiality to minimize this problem thanks to its inherent measurement principle. Therefore, it is expected that the averaging BDFT can replace the venturi meter for the feedwater pipe of steam generator of NPPs. The present work compares the amplification factor, K, based on CFD calculation against the K obtained from experiments in order to confirm whether a commercial CFD code can be applicable to the evaluation of characteristic for the averaging BDFT. In addition to this, the simulations to take into account of fouling effect are also carried out by rough wall option. The results show that the averaging BDFT is a promising flow meter for the accurate measurement of flow rates in the fouling condition of the NPPs.

• KEPCO Journal on Electric Power and Energy
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• v.2 no.2
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• pp.259-268
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• 2016

KEPCO installed AMI (Advanced Metering Infrastructure) metering system for low-voltage customers from 2008. AMI metering system of KEPCO has operated 2.55 million customers and will plan to operate 22 million customers until 2020. KEPCO developed AMI NMS (Network Management System) to operate the meter reading network efficiently. NMS monitors the network status of DCUs (Data Concentration Unit) and modems. NMS provides functionalities of data collection and analysis. It collects property data of network device, network topology information, communication performance information, fault information, and etc. It analyzes collected data and controls network devices by remote access. AMI NMS collects about 370 MIBs (Mangement Information Bases) using SNMP (Simple Network Management Protocol). This paper introduces main functionalities, designed context, and implemented service screen.

• Journal of IKEEE
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• v.22 no.3
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• pp.829-835
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• 2018

Recently, studies have been actively conducted to reduce spare power that is unnecessarily generated or wasted in existing power systems and to improve energy use efficiency. In this study, smart meter, which is one of the element technologies of smart grid, is implemented to improve the efficiency of energy use by controlling power of electric devices, and predicting trends of energy usage based on deep learning. We propose and develop an algorithm that controls the power of the electric devices by comparing the predicted power consumption with the real-time power consumption. To verify the performance of the proposed smart meter based on the deep running, we constructed the actual power consumption environment and obtained the power usage data in real time, and predicted the power consumption based on the deep learning model. We confirmed that the unnecessary power consumption can be reduced and the energy use efficiency increases through the proposed deep learning-based smart meter.

• Proceedings of the KIEE Conference
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• 1995.07c
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• pp.1347-1349
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• 1995

Insulators contaminated by salt particles may cause flashovers in humid climate or light rain. Therefore, the quantity of salt on insulators should be monitored not to exceed a critical value. We propose a new remote sensing technique to measure the quantity of salt on insulators of power systems. The amount of the salt is measured from the intensity of the spontaneous emission from the sodium atoms. In this paper, a compact remote on-line salt-meter composed of Q Switch pulsed Nd:YAG laser and emission signal detection system will be introduced. And as the first result of this study, the operating characteristics of our developing laser system is also introduced.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2005.05a
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• pp.235-239
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• 2005

This paper gives a field-test method and result of PQM(Power Quality Meter) and PQMS(Power Quality Management System). The field-test was carried out as our own method. So, the test method has several kinds of improvement in this paper because it is first time to try the field-test of the equipment. However, we expect that the test result of PQM & PQMS has been used as a reference data which makes a scheme of evaluating performance of the equipment that has been used or is developed.

• Proceedings of the KIEE Conference
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• 1995.11a
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• pp.43-45
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• 1995

In accordance with the development of switching devices, the voltage and current signal have involved the time harmonics. But most power meter is designed to operate in sinusoidal signal. Therefore, this paper evaluate the operating state and characteristic of power meter under the voltage and current included the time harmonics, analysing the results which are obtained by means of theorical analysis and an experiment of several instruments for power measuring.

• Journal of Drive and Control
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• v.14 no.3
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• pp.1-7
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• 2017

Energy consumption of conventional hydraulic excavators controlled by MCV is considerable when negative load is applied because the meter orifice and meter-out orifice are machined in one spool. Therefore, IMV is introduced to save energy use of hydraulic excavators, but existing hydraulic excavators have various advantages so it is difficult to make a clear comparison. In this study, we compare the use of an existing MCV excavator that has many advantages such as negative control, and IMV for boom up and down operation, and if IMV is used to save energy, we will examine the cause. If possible, for comparability under the same conditions, both systems use pressure balance valves to minimize power consumption when not using power in the actuator. The orifice area at each notch of each valve is calculated, and energy saving is verified by comparing the two systems through simulation.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.11
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• pp.167-174
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• 2012

In this paper a ultrasonic oil level meter for measuring oil levels of vehicle transmissions is designed and its effectiveness is shown by experiments. On a FPGA(Field Programmable Gate Array) project IDE(Integrated Development Environment), all digital circuits for the meter is designed using a FPGA, which enables simplicity and high performance of the meter as well as short developing time. Also, power supplying circuit and analog circuits to process low voltage ultrasonic echo signal are designed and simulated. Under experiments, the designed level meter is verified to provide accuracy to within 1mm.