• Title/Summary/Keyword: Power data analysis

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CIM-Based System For Real-Time Voltage Stability Analysis (CIM 기반의 실시간 전압안정도 해석 시스템 구축)

  • Lee, Sung-Woo;Jang, Moon-Jong;Seo, Dong-Wan;Namkoong, Won
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.27 no.10
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    • pp.41-49
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    • 2013
  • There is a wide variety of system and applications in the power system. However, they have compatibility issues because they use different data standard and communication method. With the introduction of the smart grid, power system has been grow and diversified. Therefore power system need to be compatible with each other and the interoperability between applications is increasingly important. Thus, the IEC established IEC61970 and CIM Standard data exchange model for interoperability and system integration. Server-Client system was constructed which using CIM HSDA(Part4), a standard communication model, presented in IEC 619710. Also, self-developed real-time voltage stability analysis application and contingency analysis application was used. CIM HSDA was used for data input and real-time analysis. Tolerance of result which is in the range of allowable derived by Perform real-time voltage stability and contingency analysis of Jeju power system, and then compare it's result with PSS/E result.

A Study On Measurement-based Load Modeling Using PSCAD/EMTDC (PSCAD/EMTDC를 이용한 측정기반의 부하모델링 연구)

  • Lee, Kyung-Sang;Park, Rae-Jun;Song, Kyung-Bin
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.6
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    • pp.1079-1085
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    • 2011
  • To supply electrical power with high quality, the power system must be optimized in many ways such as planning, control and management. In order to optimize the power system, the analysis of the power system is necessary. The elements of the power system require an accurate model to analysis of the power system. The components of the power systems such as generators, transformers and transmission lines have been studied and researched a lot in their modeling and very sophisticated models have been proposed. However, in case of load in-depth studies on the exact model are required. In this paper, measurement-based load modeling method using real-time measured data is proposed in various methods to reflect the characteristics of the load. To prove the validity of the proposed method, PSCAD/EMTDC program is used to configure the power system and measurement data according to the various failures are used to study on load modeling.

Analysis of Heat Characteristics for Fault Power Utility (전기설비 사고의 열적 특성 분석)

  • 김기화
    • Fire Science and Engineering
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    • v.11 no.4
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    • pp.25-31
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    • 1997
  • In this study, EMTP(Electromagnetic Transients Program) which is one of the most well-known computer simulation methods is used to collect the data for a power plant fault. EMTP is the program for an interpretation of the phenomena of electric transients, and is designed to manifest the data of the electric current and voltage etc. at the time of a power plant fault. By EMTP, I analyze the properties of the heat energy which are transferred from the electrics when a power plant fault brings out. In terms of the results of this study, it is able to measure the heat energy at a power plant fault (power transformer) and to be acquired of the related data. And moreover, these data are expected to be used as a standard for the protection of the fire owing to a high voltage power transformer fault.

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Multi-physics Analysis for Temperature Rise Prediction of Power Transformer

  • Ahn, Hyun-Mo;Kim, Joong-Kyoung;Oh, Yeon-Ho;Song, Ki-Dong;Hahn, Sung-Chin
    • Journal of Electrical Engineering and Technology
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    • v.9 no.1
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    • pp.114-120
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    • 2014
  • In this paper, a method for multi-physics analysis of the temperature-dependent properties of an oil-immersed transformer is discussed. To couple thermal fields with electromagnetic and fluid fields, an algorithm employing a user defined function (UDF) is proposed. Using electromagnetic analysis, electric power loss dependent on temperature rise is calculated; these are used as input data for multi-physics analysis in order to predict the temperature rise. A heat transfer coefficient is applied only at the outermost boundary between transformer and the atmosphere in order to reduce the analysis region. To verify the validity of the proposed method, the predicted temperature rises in high-voltage (HV) and low-voltage (LV) windings and radiators were compared with the experimental values.

Method and Application for Reliability Analysis of Measurement Data in Nuclear Power Plant (원전 배관의 두께 측정 데이터에 대한 신뢰도 분석 방법 및 적용)

  • Yun, Hun;Hwang, Kyeongmo;Lee, Hyoseoung;Moon, Seungjae
    • Corrosion Science and Technology
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    • v.14 no.1
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    • pp.33-39
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    • 2015
  • Pipe wall-thinning by flow-accelerated corrosion and various types of erosion is significant damage in secondary system piping of nuclear power plants(NPPs). All NPPs in Korea have management programs to ensure pipe integrity from degradation mechanisms. Ultrasonic test(UT) is widely used for pipe wall thickness measurement. Numerous UT measurements have been performed during scheduled outages. Wall-thinning rates are determined conservatively according to several evaluation methods developed by Electric Power Research Institute(EPRI). The issue of reliability caused by measurement error should be considered in the process of evaluation. The reliability analysis method was developed for single and multiple measurement data in the previous researches. This paper describes the application results of reliability analysis method to real measurement data during scheduled outage and proved its benefits.

Development of EMTDC model component for HTS power cable considering critical current, critical temperature and recovery time (임계전류, 임계온도 및 회복시간을 고려한 초전도 전력케이블의 EMTDC 모델 컴포넌트 개발)

  • Bang, Jong-Hyun;Kim, Jae-Ho;Sim, Ki-Deok;Cho, Jeon-Wook;Yoon, Jae-Young;Park, Min-Won;Yu, In-Keun
    • Progress in Superconductivity and Cryogenics
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    • v.8 no.1
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    • pp.39-44
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    • 2006
  • Before applying HTS power cable to the real utility. system analysis should be carried out by some simulation tools . Hereby the electrical power system analysis is very important for practical use of HTS devices. Nowadays PSCAD/EMTDC simulation tool is one of the most popular and useful analysis tool for the electrical power system analysis. Unfortunately the model component for HTS power cable is not provided in the PSCAD/EMTDC simulation tool In this paper. the EMTDC model component for HTS power cable has been developed considering critical current, critical temperature and recovery time constant that depend on the sorts of HTS wire. The numerical model of HTS Power cable in PSCAD/EMTDC was designed by using the real experimented data obtained from the real HTS 1G wire test. The utility application analysis of HTS power cable was also performed using the developed model component and the parameters of the real utility network in this study. The author's got good results. The developed model component for HTS power cable could be variously used when the power system includes HTS power cable, especially it will be readily analyzed by PSCAD/EMTDC in order to obtain the data for the level of fault current power flow, and power losses, and so on.

A Residual Power Estimation Scheme Using Machine Learning in Wireless Sensor Networks (센서 네트워크에서 기계학습을 사용한 잔류 전력 추정 방안)

  • Bae, Shi-Kyu
    • Journal of Korea Multimedia Society
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    • v.24 no.1
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    • pp.67-74
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    • 2021
  • As IoT(Internet Of Things) devices like a smart sensor have constrained power sources, a power strategy is critical in WSN(Wireless Sensor Networks). Therefore, it is necessary to figure out the residual power of each sensor node for managing power strategies in WSN, which, however, requires additional data transmission, leading to more power consumption. In this paper, a residual power estimation method was proposed, which uses ignorantly small amount of power consumption in the resource-constrained wireless networks including WSN. A residual power prediction is possible with the least data transmission by using Machine Learning method with some training data in this proposal. The performance of the proposed scheme was evaluated by machine learning method, simulation, and analysis.

An Analysis of Determinants of Foreign Direct Investment to ASEAN+3 Member Nations (ASEAN+3회원국에 대한 해외직접투자 결정요인 분석)

  • Son, Yong-Jung
    • International Commerce and Information Review
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    • v.11 no.2
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    • pp.111-126
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    • 2009
  • This study analysed determinants of Foreign Direct Investment to ASEAN+ 3 member nations using panel data for which cross-sectional data are combined with time series data. The data for the analysis included the amount of FDI, GDP, and indexes of economic independence. This study collected data from six nations(Indonesia, Malaysia, Philippines, Singapore, Thailand, Vietnam) whose data were easily available, China and Japan from 2003 to 2007 and analysed them. The results are summarized as follows: Using the pooled OLS method, we found Model 2 had the highest explanatory power whose adjusted R-squared was 89.4%, which accounted for about 89% of foreign investment. Using the fixed effect model, Model 2 had the highest explanatory power whose adjusted R-squared was 96.8%, which accounted for about 97% of foreign investment. Using the probability effect model, Model 5 had the highest explanatory power, but in respect to its statistical significance, only GDP was 1% significant and the rest variables had no significance.

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Output Characterization Analysis of Induction Generator using Test Data (시험 데이터를 이용한 유도발전기의 출력 특성 분석)

  • Kim, Jong-Gyeum
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.7
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    • pp.1027-1032
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    • 2013
  • Induction generator is used primarily in small hydroelectric power station less than 1000kW recently. Unlike the synchronous generator, induction generator produces electricity when it is rotated above synchronous speed. In this study, we calculated the parameters of the induction generator with test reports presented by the manufacturer and analyzed that how much the induction generator has produced power near the rated speed. If we can use the test data to calculate the parameters, it is possible the output characteristics analysis of the induction generator. As a result of analysis, we concluded that output of induction generator varies sensitively for small changes in rotational speed in the near synchronous speed.

Economic Analysis on the Interconnected Electric Power System in Northeast Asia (동북아 전력계통 연계에 따른 경제성 분석)

  • Chung, Koo-Hyung;Kim, Kyung-Min;Park, Jung-Sung;Han, Seck-Man;Kim, Bal-Ho
    • Proceedings of the KIEE Conference
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    • 2005.07a
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    • pp.766-768
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    • 2005
  • Interstate electric power system, as an alternative for energy cooperation under regional economic bloc, has been hotly debated before progressing the restructure in electric power industry and rapidly expanded in many regions after 1990s. Especially, since northeast asia has strong supplementation in resource, load shape, fuel mix etc., interconnection of electric power systems in this region may bring considerable economic benefits. For the economic analysis, we implement ORIRES model developed by ESI, Russia. ORIRES is a linear programming (LP) model for electric power system operation and planning. Since ORIRES requires data relatively less than other model, it is suitable for northeast asia that has considerable restriction against required data acquisition. In this paper, we perform an economic analysis on interconnection in northeast asia.

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