• 전력전자학회논문지
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• 제14권6호
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• pp.440-448
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• 2009

설비용 전원선 EMI 필터(Facility power-line EMI filter)는 컴퓨터 센터와 같이 전자기적인 노이즈에 민감한 장비를 가진 배전 설비로 유입되는 EMI를 차단하기 위해 사용된다. 따라서 전류용량이 크며 특정한 응용분야에서는 MIL-STD 220 기준으로 14kHz~10GHz의 광대역에서 최고 100dB 이상의 삽입 손실(Insertion loss)이 요구된다. 이러한 요구조건을 만족하기 위해서는 광대역의 주파수에서 커패시터, 인덕터 등의 특성 분석과 고차 LC 필터 (High order LC filter) 설계기술이 필요하다. 본 논문에서는 이러한 광대역 설비용 전원선 EMI 필터의 설계에 대하여 기술하였다. 먼저, EMI 필터 설계를 위한 필터의 특징과 구조, 필터의 설계 과정, 필터 설계 방법 등에 대한 연구를 수행하였다. 그리고 필터 구성의 기본 소자인 커패시터와 인덕터의 특성에 대해 분석하였다. 최종적으로 광대역 설비용 전원선 EMI 필터를 설계 및 제작하여 실험을 수행하였으며, 실험 결과의 비교 분석을 통해 연구 결과를 검증하였다.

• 조명전기설비학회논문지
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• 제28권3호
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• pp.78-83
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• 2014

To minimize the financial loss due to power facility malfunction, on-line diagnostic techniques are required to grasp any abnormal state of facilities in the live line as well as devices to diagnose abnormal states of power facility in an easy and prompt manner. This study aims to develop a portable UV detecting system by means of UV sensors for easier and efficient inspection of the degradation state of power facility in a long distance. Accordingly, it includes a simulation of corona discharges that may occur due to degradation of power facility and detection of ultraviolet pulse generation depending on the corona discharge intensity and measuring distance in application of UV sensors. Additionally, the optimal algorithm is determined for its application to the system's degradation diagnosis program based on the measured experiment data.

• 조명전기설비학회논문지
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• 제15권1호
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• pp.78-83
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• 2001

본 연구에서는 아파트에 시설되어 있는 동력설비들의 운전실태를 측정하고 분석하여 동력변압기 최적용량산출을 위한 동력부하의 종합수용률을 제시하였다. 측정결과 설비별 수용률은 급수동력부하는 47[%]로 분석되었으며 변압기를 효율적으로 운전하기 위해서는 동력부하의 종합 수용률을 현재의 52[%]에서 42[%]로 변경하는것이 적절한 것으로 분석되었다.

• Wind and Structures
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• 제10권5호
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• pp.401-420
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• 2007

Field measurements of the wind-induced response of two residential reinforced concrete buildings, among the tallest in the world, have been performed during two typhoons. Natural periods and damping values have been determined and compared with other field measurements and empirical predictors. Suitable and common empirical predictors of natural period and structural damping have been obtained that describe the trend of tall, reinforced concrete buildings whose structural vibrations have been measured in the collection of studies in Hong Kong compiled by the authors. This data is especially important as the amount of information known about the dynamic parameters of buildings of these heights is limited. Effects of the variation of the natural period and damping values on the alongwind response of a tall building for serviceability-level wind conditions have been profiled using the gust response factor approach. When using this approach on these two buildings, the often overestimated natural periods and structural damping values suggested by empirical predictors tended to offset each other. Gust response factors calculated using the natural periods and structural damping values measured in the field were smaller than if calculated using design-stage values.

• 전기학회논문지P
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• 제56권1호
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• pp.56-62
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• 2007

In this paper, design method for power tower hazard diagnosis/predition system based on UsN was proposed. The proposed method used multi-hybrid sensors to measure rotation, displacement, and inclination state of power tower, and made decision/prediction of hazard of power tower. System design was made with requirement analysis of monitoring for transmission power facility and use of MEMS and optic fiber sensors. For hazard decision, analysis of correlation was made using sensor output. LN based on IEC61850,international standard for digital substation, was also proposed. For transmission facility monitoring, digital substation and power tower were considered as parts of power facility networks.

• KEPCO Journal on Electric Power and Energy
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• 제8권2호
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• pp.137-141
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• 2022

To inspect the power facility faults using artificial intelligence, it need that improve the accuracy of the diagnostic model are required. Data augmentation skill using generative adversarial network (GAN) is one of the best ways to improve deep learning performance. GAN model can create realistic-looking fake images using two competitive learning networks such as discriminator and generator. In this study, we intend to verify the effectiveness of virtual data generation technology by including the fake image of power facility generated through GAN in the deep learning training set. The GAN-based fake image was created for damage of LP insulator, and ResNet based normal and defect classification model was developed to verify the effect. Through this, we analyzed the model accuracy according to the ratio of normal and defective training data.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2011년도 제42회 하계학술대회
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• pp.509-510
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• 2011

한국전력공사 배전선로의 가공설비(특고압)는 2011.03 현재 약 615,089 km가 설치 운전 중에 있으며 해마다 가공전선 단선 고장이 일어나고 있어, 원인 규명 및 방지대책을 강구하고 있다. 본 연구에서는 가공전선 단선사고의 일반적인 사례 LP 애자 설치개소가 아닌 선로 중간에서 단선 고장난 사고사례에 관한 것으로써 전선피복(절연체)의 두께와 impulse voltage에 따른 Pinhole 형성 그리고 단선 메커니즘에 대해서 기술하였다.

• 대한전기학회논문지:전력기술부문A
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• 제48권10호
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• pp.1349-1355
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• 1999

A power distribution facility map is drawn on cadastral map. Besides, grid lines are added on the map for sectionalization. For automatic recognition of the map, we first extract recognizing regions. In this paper, we propose an extraction method of recognizing regions by partially extending thinned image. The proposed method is consist of three phases, binarization phase, thinning phase and partial extending phase. The first phase generate a binary image using threshold value which is obtained by histogram analysis. The binary image contains many part of recognizing regions, but not all. The second phase generate thinned image which is generated by appling thinning operator to the binary image. And the third phase extends thinned image from terminal point until satisfying termination condition. The proposed method is tested on several power distribution facility maps, and the results are presented.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 하계학술대회 논문집 A
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• pp.501-503
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• 2001

Electric power consumption is highly increasing as the social trend requiring comfortable life, the population in a big city and the industrial development. Therefore it has become to be very important to supply the stable high-quality power. As these trend, the underground power transmission facility is highly increasing in the center of a city. As the proportion to increase facility in tunnel, the fire prevention measures of the underground transmission line become very important.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년 학술대회 논문집 정보 및 제어부문
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• pp.488-490
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• 2006

In the electric power industry, It is important that the supply of energy must always be guaranteed. To satisfy these requirements, various forms of technologies are needed, such as RFID tag, reader, sensor network, middleware and so on. WSN (Wireless Sensor Network) technologies of the electric power industry are in the early stage and there is no clear guideline for developing electric facility management system using WSN. Relevant experience is limited, the challenge will be to derive requirement from business practice and to determine whether it is possible or not. To explore this issue, we focus on researching and field test of prototype system in Korea Electric Power Corporation (KEPCO). In this paper we describe requirement from power industry. And we introduce design and implementation of the power facility monitoring system.