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권중지(J.J Kwon),트란트룽틴(T.T. Tran),정상헌(S.H Jeong),시보(Shi Bo),최재석(J.S. Choi),차준민(J.M Cha),윤용태(Y.T Yoon),최홍석(H.S. Choi),전동훈(D.H. Jeon) 대한전기학회 2006 대한전기학회 학술대회 논문집 Vol.2006 No.11
This paper deals with the application of the concept of POM to analysis of power system behavior and describes a practical method of PRA for KEPCO system. This paper presents not only marginal power flow evaluation of KEPCO system in view point of physical and operation mode by using Physical and Operational Margins (POM Ver.2.2), which is developed by V&R Energy System Research, but also by using Probabilistic Reliability Assessment (PRA Ver.3.1), which is developed by EPRI. The ability of the method to provide insights on root causes, weak points and regional causes and effects was shown. The approach offers fast and accurate determination of bottlenecks in the transmission network and optimal mitigation measures to alleviate the identified violations.
A Basic Study on Relationship between Reliability and Congestion Cost of Composite Power System
최재석(J.S. Choi),트란트룽틴(T.T. Tran),권중지(J.J. Kwon),정상헌(S.H. Jeong),시보(Shi Bo),Timothy Mount,Robert Thomas 대한전기학회 2006 대한전기학회 학술대회 논문집 Vol.2006 No.11
This paper describes a probabilistic annual congestion cost assessment of a grid at a composite power system derived from a model. This probabilistic congestion cost assessment simulation model includes capacity limitation and uncertainties of the generators and transmission lines. In this paper, the proposed probabilistic congestion cost assessment model is focused on an annualized simulation methodology for solving long-term grid expansion planning issues. It emphasizes the questions of "how should the uncertainties of system elements (generators, lines and transformers, etc.) be considered for annual congestion cost assessment from the macro economic view point?". This simulation methodology comes essentially from a probabilistic production cost simulation model of composite power systems. This type of model comes from a nodal equivalent load duration curve based on a new effective load model at load points. The characteristics and effectiveness of this new simulation model are illustrated by several case studies of a test system.