Abstract
Single phase faults in ungrounded power distribution systems cause small fault currents and are thus hard to locate. Besides, more and more distributed generations especially renewable generations are integrated into the power grid. The fundamental frequency short circuit current contributed by distributed generations (DG) could be small, and hence it is challenging to use overcurrent protection to protect distribution systems with DGs. This paper proposes a new travelling wave based protection method for identifying the faulted feeder. Traveling wave is generated by the faults and travels to the feeder head. Recording and analysis of the traveling wave features can help decide the faulted feeder. To increase the robustness and fault tolerance, Bayesian inference method is applied to combine prior information about feeder fault probability and IED recordings to determine the actual faulted section. The method is versatile and is applicable to feeders with or without DGs.
| Original language | English |
|---|---|
| Title of host publication | 2021 IEEE Kansas Power and Energy Conference, KPEC 2021 |
| ISBN (Electronic) | 9781665441193 |
| DOIs | |
| State | Published - 2021 |
| Event | 2nd Annual IEEE Kansas Power and Energy Conference, KPEC 2021 - Manhattan, United States Duration: Apr 19 2021 → Apr 20 2021 |
Publication series
| Name | 2021 IEEE Kansas Power and Energy Conference, KPEC 2021 |
|---|
Conference
| Conference | 2nd Annual IEEE Kansas Power and Energy Conference, KPEC 2021 |
|---|---|
| Country/Territory | United States |
| City | Manhattan |
| Period | 4/19/21 → 4/20/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE
Keywords
- Bayesian inference
- Fault identification
- Transients
- Traveling wave
- Ungrounded power system
ASJC Scopus subject areas
- Computer Networks and Communications
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Control and Optimization
