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Appl. Sci. 2016, 6(12), 435; doi:10.3390/app6120435

Development of a Sequential Restoration Strategy Based on the Enhanced Dijkstra Algorithm for Korean Power Systems

Departement of Energy Grid, Sangmyung University, Seoul 03016, Korea
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Author to whom correspondence should be addressed.
Academic Editors: Josep M. Guerrero and Amjad Anvari-Moghaddam
Received: 3 October 2016 / Revised: 2 December 2016 / Accepted: 12 December 2016 / Published: 15 December 2016
View Full-Text   |   Download PDF [2324 KB, uploaded 15 December 2016]   |  

Abstract

When a blackout occurs, it is important to reduce the time for power system restoration to minimize damage. For fast restoration, it is important to reduce taking time for the selection of generators, transmission lines and transformers. In addition, it is essential that a determination of a generator start-up sequence (GSS) be made to restore the power system. In this paper, we propose the optimal selection of black start units through the generator start-up sequence (GSS) to minimize the restoration time using generator characteristic data and the enhanced Dijkstra algorithm. For each restoration step, the sequence selected for the next start unit is recalculated to reflect the system conditions. The proposed method is verified by the empirical Korean power systems. View Full-Text
Keywords: restoration; black start service; power system restoration; generator start-up sequence restoration; black start service; power system restoration; generator start-up sequence
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Goo, B.; Jung, S.; Hur, J. Development of a Sequential Restoration Strategy Based on the Enhanced Dijkstra Algorithm for Korean Power Systems. Appl. Sci. 2016, 6, 435.

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