Shunt Capacitor Bank Fault Detection and Localization Using Sub-Cycle Algorithm

Conference Paper (2022)
Author(s)

Mohsen Tajdinian (Shiraz University)

B. Behdani (TU Delft - Intelligent Electrical Power Grids)

Ali Goodarzi (Fars Electricity Distribution Company)

Harold Chamorro (KTH Royal Institute of Technology)

Vijay Sood (Ontario Tech University)

Research Group
Intelligent Electrical Power Grids
Copyright
© 2022 Mohsen Tajdinian, B. Behdani, Ali Goodarzi, Harold R. Chamorro, Vijay K. Sood
DOI related publication
https://doi.org/10.1109/EPEC56903.2022.10000243
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Mohsen Tajdinian, B. Behdani, Ali Goodarzi, Harold R. Chamorro, Vijay K. Sood
Research Group
Intelligent Electrical Power Grids
Pages (from-to)
170-175
ISBN (print)
978-1-6654-6319-5
ISBN (electronic)
978-1-6654-6318-8
Reuse Rights

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Abstract

Fast internal detection and location in Shunt Ca-pacitor Banks (SCBs) can lead to the prevention of damages to other SCBs' elements and consequently avoid undesirable performance and effects in power system operation. This paper targets the performance of phasor-based algorithms of failure detection and fault location of SCBs. Being dependent on the fundamental phasor components which usually are calculated based on the Discrete Fourier Transform (DFT), the failure detection and fault location algorithms suffer from almost one-cycle delay. This paper provides sub-cycle phasor estimation based on the least-square technique. The proposed algorithm is evaluated for different configurations of SCBs considering different fuse protection designs. The proposed method provides a criterion for relay decision-making in the case of multiple faulty phases condition. The proposed method is designed to monitor and detect consecutive failures based on the existing data of commercial relays. Performance evaluations are conducted under different circumstances namely voltage unbalance conditions and multiple internal fault locations.

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