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MDP based real time restoration for earthquake damaged active distribution systems
Date
2023-05-01
Author
Arpalı, Onur Yigit
Yılmaz, Uğur Can
GÜLDÜR ERKAL, BURCU
Aydın Göl, Ebru
Göl, Murat
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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After a disaster, presence of electricity becomes even more crucial compared to its role in daily life. In this paper, an online decision support method is developed to restore medium voltage active distribution systems after an earthquake. The proposed method employs Markov Decision Process (MDP) to determine the sequence of actions which minimizes the expected restoration time. The method firstly predicts the health condition of the system components based on the Probability of Failure (Pf). These Pf values were priorly computed and plotted against Peak Ground Acceleration (PGA) values. Then a sequence of restoration actions, i.e. the restoration strategy, for the system operator is determined by considering the prediction of health conditions and power flow analysis results. During the field operation, if an unexpected situation, i.e. unexpected state of a component or a significant variation in electrical quantities, is encountered by the system operator, the proposed method updates the restoration strategy by considering those variations from the initial prediction.
Subject Keywords
Decision support
,
Disaster management
,
Distribution systems
,
Markov Decision Process
,
State estimation
URI
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85148545746&origin=inward
https://hdl.handle.net/11511/102662
Journal
Electric Power Systems Research
DOI
https://doi.org/10.1016/j.epsr.2023.109230
Collections
Department of Computer Engineering, Article
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BibTeX
O. Y. Arpalı, U. C. Yılmaz, B. GÜLDÜR ERKAL, E. Aydın Göl, and M. Göl, “MDP based real time restoration for earthquake damaged active distribution systems,”
Electric Power Systems Research
, vol. 218, pp. 0–0, 2023, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85148545746&origin=inward.