Authors: Janjić, Aleksandar
Velimirović, Lazar 
Affiliations: Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: Integrated fault location and isolation strategy in distribution networks using Markov decision process
Journal: Electric Power Systems Research
Volume: 180
Issue Date: 1-Mar-2020
Rank: M21
ISSN: 0378-7796
DOI: 10.1016/j.epsr.2019.106172
The data gathered from various intelligent sensors installed throughout the network could be utilized for the fault localization, helping the system restoration, reducing the outage time and improving system reliability. However, due to the distribution network characteristics and particularities, the precise fault location is very hard to determine, especially in isolated neutral networks. Consequently, the restoration process is affected by the fault location error and the probability of fault in the exact location. In this paper, Markov Decision Process is used as a tool for the determination of the faulted feeder section and its isolation from the grid. The algorithm is based on the optimization of several criteria, while the transition probabilities among states are obtained from fault passage indicators status. The posterior probability that the particular section is faulted is obtained using the Bayes probability theory. The methodology is tested on the IEEE 123 distribution test network.
Keywords: Bayes theorem | Fault location | Markov decision process | Supply restoration
Publisher: Elsevier
Project: Research and development of energy efficient and environment friendly polygeneration systems based on renewable energy sources utilization 
Development of new information and communication technologies, based on advanced mathematical methods, with applications in medicine, telecommunications, power systems, protection of national heritage and education 

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