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Detection, localization and fault diagnosis using PetriNets for smart power distribution grids
Published in Institute of Electrical and Electronics Engineers Inc.
2018
Pages: 596 - 600
Abstract
Fault detection in novel distribution systems has been a big challenge with increasing distributed generation. Addition of non-linear devices has increased the rate of fault occurrence and thus a need to identify and rectify the fault with in a short interval. Inclusion of smart devices such as smart meters and PMU(s) can help a lot in reducing the fault detection time. Since most of the fault detection algorithms use iteration and a number of assumptions of the network topology, often the difference between the calculated fault distance and the real fault distance is huge. In the case of micro grid a single fault can result in more than one fault directions. Using petri nets can be of great use for fault detection as it has some major advantages. Petri nets don't use iterations and can precisely narrow down the fault depending upon the input data. A distribution network has been taken and simulated for both single and multiple fault instance. The algorithm was found to be simple and efficient. It can take information from protection device too which in aver all makes it a much more cost efficient method to challenge fault detection. © 2017 IEEE.
About the journal
JournalData powered by Typeset2017 7th International Conference on Power Systems, ICPS 2017
PublisherData powered by TypesetInstitute of Electrical and Electronics Engineers Inc.
Open AccessNo
Concepts (12)
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    Iterative methods
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    Network architecture
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    Petri nets
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    Distribution systems
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    DISTRIBUTION/MICRO-GRID
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    FAULT DETECTION ALGORITHM
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    FAULT DIRECTION
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    Multiple faults
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    Network topology
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    NON-LINEAR DEVICES
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    PROTECTION DEVICE
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    Fault detection