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전력시스템 해석과 교육을 위한 정보시각화 프로그램 개발 - Part 1: 계통도 편집 기능
차효원,김병호,홍민,김규호,김홍래 대한전기학회 2020 전기학회논문지 Vol.69 No.9
In modern power systems, the data for the analysis, monitoring, and operation has become massive. In order to provide the present operating states of the power systems, it is required to have effective visualization methods. In this paper, we present the software to monitor and analyze the power system operations and to show the operating information of the power systems. The program includes the functions for drawing and editing the power system configuration and related information. Automatic drawing function of one line diagram for the power systems is included in the software program, using the geographical information of the buses. The information on buses, lines, transformers and shunt devices can be modified on the diagram and also in the text-based files. The developed software will be used to analyze the operating conditions of the power systems, and also to educate the power system operators.
이수원(Su-Won Lee),차효원(Hyo-Won Cha),김병호(Byoung-Ho Kim),김홍래(Hongrae Kim) 대한전기학회 2021 전기학회논문지 Vol.70 No.4
As the economy develops and power demand increases, the need for stable power system operation is also increasing. State estimation, one of the important functions of EMS(energy management system), estimates the state of the power system which is essential for reliable power system operation. State estimation has traditionally been performed using measurement data, obtained from SCADA(supervisory control acquisition system). PMU(phasor measurement unit), which appeared in the early 1990s, improved state estimation by providing more accurate synchronized data than SCADA measurement data. However, due to various problems, the PMU cannot be implemented at all buses in the power system, and for this problem, a study on a hybrid state estimation technique using both SCADA and PMU measurement data is required. This paper proposes a new technique for hybrid state estimation using SCADA and PMU measurement data. The proposed technique can improve the conventional state estimator and reduce the influence of bad data. Tests are done in the IEEE test system and the KEPCO power system.