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

Conference paper (2022)

Authors

Mohsen Tajdinian Shiraz University
B. Behdani Intelligent Electrical Power Grids - EEMCS
Ali Goodarzi Fars Electricity Distribution Company
Harold R. Chamorro KTH Royal Institute of Technology
Vijay Sood Ontario Tech University
Research Group
Intelligent Electrical Power Grids (EEMCS) (TU Delft)
Copyright: © 2022 Mohsen Tajdinian, B. Behdani, Ali Goodarzi, Harold R. Chamorro, Vijay K. Sood
DOI
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https://doi.org/10.1109/EPEC56903.2022.10000243
Protection Fault Detection Internal Fault Phasor Estimation Shunt Capacitor Banks
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Published Date

2022

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

Intelligent Electrical Power Grids

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.