Non-Homogeneous Sampling Rate Wide Area Backup Protection using Synchrophasors and IED Data

Conference paper (2022)

Authors

Jose de Jesus Chavez Intelligent Electrical Power Grids - EEMCS
Nidarshan Veerakumar Intelligent Electrical Power Grids - EEMCS
M. Popov Intelligent Electrical Power Grids - EEMCS
P. Palensky Intelligent Electrical Power Grids - EEMCS
Sadegh Azizi University of Leeds
Enrique Melgoza The National Technological Institute of Mexico
Vladimir Terzija Shandong University
Research Group
Intelligent Electrical Power Grids (EEMCS) (TU Delft)
Copyright: © 2022 Jose de Jesus Chavez, Nidarshan Veerakumar, M. Popov, P. Palensky, Sadegh Azizi, Enrique Melgoza, Vladimir Terzija
DOI: https://doi.org/10.1109/SGSMA51733.2022.9806006
Fault detection Real-time simulation Synchrophasor data Transmission system Wide-area backup protection
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Published Date

2022

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

Intelligent Electrical Power Grids

Abstract

Fault currents may result in cascading failures and even system collapse if not detected and cleared on time. To account for the possibility of failure of primary protection under stressed system conditions, an extra layer of protection is commonly employed, referred to as backup protection. This paper introduces an effective formulation for realizing remote backup protection using available data from PMUs and Intelligent Electronic Devices (IEDs). The proposed method is split into three main stages. The first stage deals with the zoning detection of the fault. The second stage is aimed at faulted line detection, and finally, the third stage determines the fault distance on the faulted line. The method is designed to take full advantage of measurements provided by PMUs and IEDs. The challenges associated with different reporting rates are resolved thanks to the dynamic decimator employed to this end. The proposed method has been implemented in real-time by applying co-simulation with MATLAB and validated using the New England IEEE 39 bus system with several fault events.