Probability Estimation for the Fault Detection and Isolation of Pmu-Based Transmission Line System of Smart Grid
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Date
2018
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Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Open Access Color
Green Open Access
No
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Publicly Funded
No
Abstract
Phasor measurement sensor plays an important role in finding the fault location in smart transmission line grid by sensing the voltage and current phasors of the sum of zero- and/or positive sequence entering the phasor measurement unit and communicate with the other PMU sensor installed at other buses in order to isolate the faulty transmission line. This work studies the accuracy and reliability of the information flow of the backup protection system in transmission line network. A method is proposed to find the fault detection and isolation probabilities of the transmission line of smart grid. We propose the development of Markovian model of the Western System Coordinating Council (WSCC-9) bus system with backup protection zone and formally verify the model via probabilistic model checker tool in order to analyse the system accuracy, efficiency and reliability by developing the logical properties. Furthermore, prediction of the success/failure isolation probabilities of transmission line is done. The probabilistic model checker (PRISM) is utilized for the estimation of all the success /failure probabilities and the verification of the WSCC-9 bus model via logical properties. © 2018 IEEE.
Description
5th International Conference on Electrical and Electronics Engineering, ICEEE 2018 -- 3 May 2018 through 5 May 2018 -- 137377
Keywords
formal verification, PMU, PRISM, protection system, Electric lines, Electric power transmission networks, Formal verification, Markov processes, Model checking, Phase measurement, Phasor measurement units, Prisms, Smart power grids, Efficiency and reliability, Fault detection and isolation, Isolation probabilities, Probabilistic modeling, Protection systems, Smart transmission lines, Transmission line networks, Transmission line systems, Fault detection
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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OpenCitations Citation Count
4
Source
2018 5th International Conference on Electrical and Electronics Engineering, ICEEE 2018
Volume
Issue
Start Page
284
End Page
288
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Citations
CrossRef : 4
Scopus : 7
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Mendeley Readers : 10
SCOPUS™ Citations
7
checked on Mar 15, 2026
Web of Science™ Citations
5
checked on Mar 15, 2026
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