• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
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  • 한국과학기술단체총연합회
  • 한국학술지인용색인
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Title Information Visualization Program for Analysis and Education of Power Systems - Part II: Power System Analysis Functions
Authors 김병호(young-Ho Kim) ; 홍민(Min Hong) ; 김규호(Kyu-Ho Kim) ; 김홍래(Hongrae Kim)
DOI https://doi.org/10.5370/KIEE.2020.69.9.1303
Page pp.1303-1311
ISSN 1975-8359
Keywords Power System Analysis; State Estimation; Power Flow; Visualization
Abstract As modern power system has grown rapidly and becomes complex, it is no longer possible to operate and develop the power systems without the help of a computer. By solving the computational problems required for planning, design and operation of the power system using a computer, it is possible to increase the quality of power system analysis, improve the efficiency of the power system operation, and increase the reliability of the power system. EMS (energy management system) includes many power system analysis applications, such as state estimation, power flow, stability analysis, fault analysis, economic dispatch and contingency analysis, which can analyze information for monitoring and control of the power system. In case of state estimation and power flow, their role is very important as application programs that are the basis of power system analysis. Commercial tools for power system analysis provide various visualization techniques for the expression of power system information and applications for grid analysis, but they do not usually include state estimation function as a basic application for power system analysis performed in a real-time environment. In addition, the cost of purchasing and maintaining commercial tools is very expensive. Therefore, it is necessary to use an educational application program that can be easily accessed and used by a user using computer in the educational stage for power system analysis. In this paper, we develop and introduce a program for power system analysis and education with information visualization function.