Abstract
This paper addresses the problem of finding a threshold (critical value of rotor angle) for the identification of transient instability by the sole use of the information on rotor angles. Several threshold values for rotor angles have been used in the past without a clear agreement on a standard value. In this paper a probabilistic approach to the problem is proposed, so that for any network a threshold can be defined based on set accuracy, while at the same time minimizing the instability identification time. Results demonstrate that highly accurate robust rotor angle thresholds can be found, even for highly uncertain power networks with a high penetration of Renewable Energy Sources (RES).
Original language | English |
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Title of host publication | 2019 IEEE Milan PowerTech |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Number of pages | 6 |
ISBN (Electronic) | 9781538647226 |
DOIs | |
Publication status | Published - 26 Aug 2019 |
Event | 2019 IEEE Milan PowerTech, PowerTech 2019 - Milan, Italy Duration: 23 Jun 2019 → 27 Jun 2019 |
Conference
Conference | 2019 IEEE Milan PowerTech, PowerTech 2019 |
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Country/Territory | Italy |
City | Milan |
Period | 23/06/19 → 27/06/19 |
Funding
This work was supported by the School of Electrical and Electronic Engineering PhD scholarship award of The University of Manchester and by the EPSRC, U.K., through the HubNet consortium (grant number: EP/N030028/1).
Keywords
- center of inertia
- transient instability identification
- transient instability threshold
- uncertainties