Abstract
This paper proposes a source-independent method for the detection and classification of faults along Transmission Lines (TLs). It aims to reduce the protection issues arising from Inverter-Based Resources (IBRs). Inspired by Power Line Communication (PLC), the proposed method utilizes high-frequency carrier waves which are sent from either side of a TL over each phase. As faults disrupt the propagation of carriers, the receiving carrier waves before and during faults exhibit differences. Based on this principle, the proposed method continuously compares the receiving carrier waves with a short history of them to detect and classify faults.The performance of the proposed method was evaluated using EMTP-RV and MATLAB, and compared to traditional phasor-based distance relays. The simulation results confirm the capability of the proposed method in detection and classification of different faults regardless of power sources types.
| Original language | English |
|---|---|
| Title of host publication | 2024 IEEE Power and Energy Society General Meeting, PESGM 2024 |
| Publisher | IEEE Computer Society |
| ISBN (Electronic) | 9798350381832 |
| ISBN (Print) | 9798350381832 |
| DOIs | |
| State | Published - Oct 4 2024 |
| Event | 2024 IEEE Power and Energy Society General Meeting, PESGM 2024 - Seattle, United States Duration: Jul 21 2024 → Jul 25 2024 |
Publication series
| Name | IEEE Power and Energy Society General Meeting |
|---|---|
| ISSN (Print) | 1944-9925 |
| ISSN (Electronic) | 1944-9933 |
Conference
| Conference | 2024 IEEE Power and Energy Society General Meeting, PESGM 2024 |
|---|---|
| Country/Territory | United States |
| City | Seattle |
| Period | 07/21/24 → 07/25/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Scopus Subject Areas
- Energy Engineering and Power Technology
- Nuclear Energy and Engineering
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
Keywords
- Fault classification
- IBRs
- and source independent
- fault detection
- inverter-based resource
- protection
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