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http://dx.doi.org/10.7471/ikeee.2018.22.3.754

A Study on the State Estimation Algorithm for DC System Analysis  

Kwon, Hyuk-Il (Electronics Engineering, Daegu Catholic University)
Kim, Hong-Joo (Smart Power Distribution Laboratory, KEPRI)
Kim, Juyong (Smart Power Distribution Laboratory, KEPRI)
Cho, Yoon-Sung (Electronics Engineering, Daegu Catholic University)
Publication Information
Journal of IKEEE / v.22, no.3, 2018 , pp. 754-758 More about this Journal
Abstract
Analysis methods in the power system are static analysis, dynamic analysis and online analysis, offline analysis. The static analysis is used for the existing power system analysis method and the static analysis is mainly used for PSS / E. However, in the real system where the value changes in real time which we are using, dynamic analysis is required which can be analyzed in real time for accurate analysis. Therefore, attention is focused on EMS (Energy Management System) and importance is increasing. Among the various EMS systems, we will cover state estimation, which is a static on-line analysis that can receive and interpret data from the acquisition point in real time. DC systems are spreading in various fields such as DC load, DC distribution, renewable energy. As such, much attention and attention are focused on the DC system. In this paper, we have studied the feasibility through the case study and the interpretation of the state estimation that can be applied to the DC system.
Keywords
EMS; State Estimation System; DC systems; DC distribution; Case study;
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  • Reference
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