• Journal of Industrial Technology
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• v.26 no.A
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• pp.63-68
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• 2006

In this paper, remote monitoring system for wind turbine is developed. The developed system consists of data acquisition for wind sensor, and monitoring for site environment. In order to accomplish effective monitoring, the system uses Datasocket, SMB, FTP, Web Server, and G Web Server. Two computer system - one is data acquisition computer using Windows-XP and the other is monitoring computer using UNIX - constraint the distribute system with individual tasks. By using this system, one can perform various monitoring and control tasks in Wind-Turbine application, efficiently.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.525-526
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• 2015

친환경 에너지 발전에 대한 관심이 높아지고 고유가 상황이 길어지면서 에너지 자립섬에 대한 많은 연구와 투자가 집중되고 있다. 본 논문에서는 에너지 자립섬 실증을 위한 준비 단계로 서해안에 위치한 Y섬의 실제 데이터 정보를 분석하여 전력 계통을 구성해 보았다. 이를 위하여 신재생에너지원 중 태양광 발전, 풍력 발전, 연료 전지 및 에너지 저장 장치에 대한 특성을 고려하였으며 최근 친환경 에너지 자립섬 조성 사업을 시작한 울릉도 사업 모델을 기초로 하였다.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.523-524
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• 2015

신재생 에너지는 발전 시 연료가 들지 않는다는 특징과 친환경적인 이유로 각광 받고 있다. 이러한 특징으로 인해 에너지 독립 계통을 구성하는 데 주요 역할을 한다. 풍력, 태양광, 에너지 저장 장치 등이 분산 전원으로서 계통을 구성하게 되는데, 낮은 효율과 높은 초기 설치비용으로 인해 디젤 발전기나 마이크로 터빈 등 소형 발전기를 예비 전력으로서 부착하는 경우가 대부분이다. 이러한 분산 전원들은 가격이 제각각이며 기존의 화석연료 발전기처럼 비용 함수 모델링이 어려워 경제적 분석이 어려웠다. 이 논문은 이러한 신재생 에너지를 사용한 독립 마이크로그리드를 경제적 관점에서 분석하는 것이 목적이다. 따라서 계통을 분석하는 가장 보편적인 방법인 최적 조류 계산(OPF, Optimal Power Flow)방법과 가격을 최소화하는 점을 찾는 경제급전(ED, Economic Dispatch)방법을 사용하였다. 두 가지 방법의 결과를 비교하여 발전 비용을 줄일 수 있는지에 대해 조사하였다. 7-Bus 가상 계통을 만들어 사용하였고, OPF와 ED의 발전 비용은 PowerFactory$^{(R)}$ 프로그램을 통해 시뮬레이션 하여 데이터를 얻었다.

• Proceedings of the KIPE Conference
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• 2007.07a
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• pp.58-60
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• 2007

국내 신재생에너지의 보급은 정부 보조금 지원을 통해 국내 지역별로 다양한 형태, 발전 용량으로 보급되고 있다. 그 중에서도 태양광 발전의 주택보급과 산간지역의 풍력발전 보급은 발전 규모와 설비가 대형화 되어 가고 있다. 본 논문에서는 이러한 발전 시스템 지원을 위한 지역 기후 현황 분석과 발전 시스템과의 연계를 통해 특성을 분석하고자 하였다.

• The Journal of Society for e-Business Studies
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• v.23 no.2
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• pp.111-121
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• 2018

Many problems in rotating machinery such as aircraft engines, wind turbines and motors are caused by bearing defects. The abnormalities of the bearing can be detected by analyzing signal data such as vibration or noise, proper pre-processing through a few signal processing techniques is required to analyze their frequencies. In this paper, we introduce the condition monitoring method for diagnosing the failure of the rotating machines by analyzing the vibration signal of the bearing. From the collected signal data, the normal states are trained, and then normal or abnormal state data are classified based on the trained normal state. For preprocessing, a Hamming window is applied to eliminate leakage generated in this process, and the cepstrum analysis is performed to obtain the original signal of the signal data, called the formant. From the vibration data of the IMS bearing dataset, we have extracted 6 statistic indicators using the cepstral coefficients and showed that the application of the Mahalanobis distance classifier can monitor the bearing status and detect the failure in advance.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.255-258
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• 2022

As environmental pollution continues, attention on renewable energy is on the constant rise in recent days. Although various kinds of renewable energy such as solar, wind power and biomass energy have been generated in Jeju, opening and analyzing cases on related data seem insufficient. Therefore, this study is being conducted to deduce the variables which have high relation with solar panel&s output and to understand machine learning methods that can be applied to solar power generation data by utilizing Kaggle platform, which is actively used by a number of scientists. Then, it is planned to propose a form of solar power generation dataset by researching machine learning methods that could be applied to the data. To be specific, analyzing solar power generation data with the Kaggle platform, this study will provide complements on gathering solar power data in Jeju. This study is anticipated to be utilized on data analysis for developing the solar power industry in Jeju. That is, this study is expected to reveal the room for improvement inherent in existing open datasets in Jeju, so that they could be constructed in a suitable form for machine learning for AI analytics. Through this process, a method to increase efficiency of solar power generation is anticipated to be prepared.

• Journal of Korean Society for Geospatial Information Science
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• v.20 no.2
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• pp.15-22
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• 2012

The variation in the wind speed with height above ground is called the wind shear profile. In the field of wind resource assessment, analysts typically use one of two mathematical relations to characterize the measured wind shear profile: the logarithmic profile (log law) and the power law profile (power law). The logarithmic law uses the surface roughness as a parameter, and the power law uses the power law exponent as a parameter. The shape of the wind shear profile typically depends on several factors, most notably the roughness of the surrounding terrain and the stability of the atmosphere. Since the atmospheric stability changes with season, time of day, and meteorological conditions, the surface roughness and the power law exponent also tends to change in time. For this study, Using the observed data from Met-mast, located in Pyeongdae, Handong in Jeju. we used the matlab and windograper to calculate roughness length and the law exponents. These calculations are similar to reference the data, but they have different ranges. In the ocean case, each reference data and calculated data was the same, but the crop area is higher than the earlier studies. In addition, the agricultural village is lower than the earlier studies.

• Journal of the Korea Convergence Society
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• v.2 no.3
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• pp.7-14
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• 2011

This paper deals with the efficient management for the intelligent distribution system related with the renewable energy sources, using the wire-wireless monitoring and control device. This device is mainly composed of 2 sections. One is monitoring device with the Autobase S/W and the other is control device using PLC. This paper proposes a wire and wireless monitoring and control device which can monitor and control the 50Kw PV system installed remotely (about 1Km) in the campus of the Korea University of Technology and Education. By the analysis of PV output characteristic using the device proposed in this paper, it is confirmed that the device can contribute the maintenance of PV system and also the establishment of Smart Grid.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.4
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• pp.269-277
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• 2019

In this paper, the compatibility analysis on the track record operation center for the regional industry upbringing is presented. The renewable energy sources such as solar, wind and battery energy storage system have been widely spread in these days. Also the requirements on the efficiency, reliability and power demands of these distributed systems are increasing and they can be demands on the construction of the data track record center for renewable energy industries in order to promote the local industries. The analysis on the size of the de-centralized power system are performed based on the technical issues. The necessities, requirements and center goals to meet these missions are presented in the following session. The proposal of the 1 MW operation center construction and operations are presented in the result of the compatibility analysis. And the lists of the required equipments in the operation facilities are suggested to have proper operational capabilities. The results of this research can be applied in the fundamental data to promote the regional renewable industries.

• Journal of the Society of Disaster Information
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• v.17 no.4
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• pp.684-693
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• 2021

Purpose: The purpose is to establish a safe facility environment from abnormal voltages such as lightning by developing a smart land resistance measuring device that can acquire real-time land resistance data using Arduino. Method: This paper studied design models and application cases by developing a land resistance acquisition and analysis system with Arduino and a power line communication (PLC) system. Some sites in the wind power generation complex in Gyeongsangnam-do were selected as test beds, and real-time land resistance data applied with new technologies were obtained. The electrode arrangement adopted a smart electrode arrangement using a combination of a Wenner four electrode arrangement and a Schlumberger electrode arrangement. Result: First, the characteristic of this technology is that the depth of smart multi-electrodes is organized differently to reduce the error range of the acquired data even in the stratigraphic structure with specificity between floors. Second, IT convergence technology was applied to enable real-time transmission and reception of information on land resistance data acquired from smart ground electrodes through the Internet of Things. Finally, it is possible to establish a regular management system and analyze big data accumulated in the server to check the trend of changes in various elements, and to model the optimal ground algorithm and ground system design for the IT convergence environment. Conclusion: This technology will reduce surge damage caused by lightning on urban infrastructure underlying the 4th industrial era and design an optimized ground system model to protect the safety and life of users. It is also expected to secure intellectual property rights of pure domestic technology to create jobs and revitalize our industry, which has been stagnant as a pandemic in the post-COVID-19 era.