• Proceedings of the KIEE Conference
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• 2006.10c
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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.

• Proceedings of the KIEE Conference
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• 2001.05a
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• pp.17-19
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• 2001

In this paper, eigenvalue perturbation theory and its applications for the augmented system matrix are described. This theory is quite useful in the cases where any change in a system parameter results in signifiant changes to most of the elements of the augmented matrix or where the forming of sensitivity matrix so complicate. And AMEP(augmented matrix eigenvalue perturbation) for the excitation system parameters are computed for analysis of small signal stability of KEPCO 215-machine 791-bus system.

• Proceedings of the KIEE Conference
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• 2000.11a
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• pp.149-151
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• 2000

This paper compares the measurement values of harmonics to the analysis results in railroads testing system. Therefore, in this paper, new program to calculate THD(Total Harmonic Distortion) and measuring system of harmonics are developed. The harmonic measurement point is PCC(Point of Common Coupling), the primary side(154kV) of scott transformer, and the analysis is performed based on real KEPCO system data. As a result of this study, it is possible to present basic data and informations about harmonic problems which can be occurred in the future commercial railroad systems.

• Proceedings of the KIEE Conference
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• 1999.07c
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• pp.1054-1056
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• 1999

It is the most important in small signal stability analysis of large scale Power systems to compute only the dominant eigenvalues selectively with numerical stability and efficiency. In this Paper evoluted linear analysis program, transformed state matrix using Inverse transformation with complex shift and then Hessenberg process and iterative scheme are used to accelerate Hessenberg process, can calculate dominant eigenvalues. In this Paper, The accuracy of this Program has been validated against 4-machines 11-bus system and New England 10-machines 39-bus system. Also applied to KEPCO system - about 791-bus 250-machines 2500-branches, got 2568 order state matrix, and calculated two dominant modes. This analysis result equaled to result of EPRI's SSSP program to use commonly, and calculating time is faster.

• Proceedings of the KIEE Conference
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• 1999.07c
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• pp.1305-1307
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• 1999

dynamic analysis of power systems is required the information for building a transfer function of has the heavy calculation of high order matrices. Since generally the order of the state matrix is over the limit of commercial analysis programs such as MASS(Multi-Area Small Signal Stability) Program, it is necessary to develop dynamic equivalent systems with preserving essential properties of the original system. In this work, a procedurd to find an optimal location of FACTS controllers is presented. The procedure was applied to KEPCO system in the year of 2000. The results on a test system demonstrate the accuracy of dynamic equivalencing and verify the effect of FACTS controllers.

• Journal of Institute of Control, Robotics and Systems
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• v.21 no.9
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• pp.827-835
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• 2015

In this paper, we present the implementation method of Dynamic Matrix Control(DMC) block for use with a Rapid Control Prototyping(RCP) system and consider the speed control of a DC motor using the developed DMC block. Firstly, we briefly introduce a lab-built RCP system. Secondly, we present a method for implementing a DMC block using C-language, which enables the DMC algorithm to be represented in a library block that can be used in a Simulink environment. Finally, we use the developed DMC block for the speed control of a DC motor, through which we show that the DMC-based control system can be easily implemented and applied to the real-time control of systems with relatively fast dynamics.

• Proceedings of the KIEE Conference
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• 1995.11a
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• pp.64-66
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• 1995

This paper presents a new approach to evaluate optimal basic reliability indices of electric distribution systems using genetic algorithm. The use of optimal reliability evaluation is an important aspect of distribution system planning and operation to determine adequacy reliability level of each area. In this paper, the reliability model is based on the analytical method, connecting component failure to load point outage in each section. The proposed method applies genetic algorithm to calculate the optimal values of basic reliability indices, ie. failure rate and repair time, for a load point in the power distribution system, subject to minimizing interruption cost. Test results for the model system are reported in the paper compared with a direct optimization method(gradient projection).

• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.12
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• pp.2084-2090
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• 2007

The DGA (Dissolved Gases Analysis) technique has been widely using for fault diagnosis of the power transformers. Some electric power utility company establishes the criteria of DGA to improve reliability, because of difference of operation environment and design of power transformer. In this paper, we introduce intelligent diagnosis system for DGA result of KEPCO (Korea Electric Power Cooperation). This system can classify patterns type of gases ratio that frequently occurs in recent result of gases analysis using Fuzzy Inference. The classification of Patterns let us know that major causes of gases generation based on type of patterns. Finally, Neural Network based on patterns diagnose transformer. NN was trained using result data of DGA of actually faulted transformers recently. Result of intelligent diagnosis system is right well in comparison with actual inner inspection of transformers.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.215-216
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• 2015

The application of fault current limiter(FCL) reduces power system fault current for circuit breaker to operate properly due to reduced fault current. Also FCL reduces through fault current to the power system equipments. But FCL has changed power system parameters for short time, before application the magnitude of register, triggering current and protective relay coordination have to be studied. In this paper we will examine protective relay coordination with FCL. And propose better solution to assist improving of power system operation through the application of FCL.

• Proceedings of the KIEE Conference
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• 2002.11b
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• pp.250-252
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• 2002

Nowadays, one of the serious Problems in KEPCO system is the more higher fault current than the SCC(Short Circuit Capacity) of circuit breaker. There are many alternatives to reduce the increased fault current. As the superconductivity technology has been develops, the HTS-FCL(High Temperature Superconductor-Fault Current Limiter) can be a one of the attractive alternatives to solve the fault current problem. Under the this background, this paper presents distribution system EMTDC modeling and the application of EMTDC model for resistance type HTS-FCL in the developed distribution system model.