Abstract
Faster detection of faults, can lead to better and more efficient control of power system against cascading failures triggered by the faults. This article presents a novel detection algorithm using statistical methods for the detection of events that lead to FIDVR. Furthermore we show that the algorithm is computationally efficient and quick enough to provide the control inputs to an UVLS scheme using in-feed PMU data. Thus, it is ensured that the minimal level of load to be shed is determined on-the-fly as the event develops.
| Original language | English |
|---|---|
| Title of host publication | IET Conference Publications |
| Publisher | IEEE |
| Number of pages | 6 |
| Edition | CP759 |
| ISBN (Print) | 9781785617911, 9781839531330 |
| DOIs | |
| Publication status | Published - 2019 |
| Event | 11th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion - Dubrovnik, Croatia Duration: 12 Nov 2018 → 15 Nov 2018 http://medpower2018.com/ |
Publication series
| Name | IET Conference Publications |
|---|---|
| Number | CP759 |
| Volume | 2018 |
Conference
| Conference | 11th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion |
|---|---|
| Abbreviated title | MEDPOWER 2018 |
| Country/Territory | Croatia |
| City | Dubrovnik |
| Period | 12/11/18 → 15/11/18 |
| Internet address |
Bibliographical note
"Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public."