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Fossil fuel plant modeling for the dispatcher training simulator of the K-EMS
Authors: Yong Tae Yoon; Seon-Ju Ahn; Seong-Il Hur; Pyeong-Ik Hwang; Seung-Il Moon;
Abstract
The Korean energy management system (K-EMS) development project, which includes the development of the dispatcher training simulator (DTS), has been underway since 2005. The DTS provides a realistic environment for system dispatchers to practice operating tasks and experience emergency operating situations. In order to provide a realistic environment, the DTS includes many dynamic models of power plants, such as fossil fuel plant and hydro plants. In this paper, the fossil fuel power plant model for the DTS in K-EMS is introduced and verified through actual measurement data.
Related Organizations
- Seoul National University Korea (Republic of)
- Seoul National University Korea (Republic of)
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
0
Average
Average
Average