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.
|Title of host publication||IET Conference Publications|
|Number of pages||6|
|ISBN (Print)||9781785617911, 9781839531330|
|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
|Name||IET Conference Publications|
|Conference||11th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion|
|Abbreviated title||MEDPOWER 2018|
|Period||12/11/18 → 15/11/18|
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