Risk-constrained minimization of combined event detection and decision time for online transient stability assessment

Gonzalez, Jhonny and Papadopoulos, Panagiotis N. and Milanović, Jovica V. and Peskir, Goran and Moriarty, John (2021) Risk-constrained minimization of combined event detection and decision time for online transient stability assessment. IEEE Transactions on Smart Grid, 12 (5). pp. 4564-4572. ISSN 1949-3053 (https://doi.org/10.1109/TSG.2021.3086236)

[thumbnail of Gonzalez-etal-TSG-2021-Risk-constrained-minimisation-of-combined-event-detection-and-decision-time]
Preview
 Text. Filename: Gonzalez_etal_TSG_2021_Risk_constrained_minimisation_of_combined_event_detection_and_decision_time.pdf
Accepted Author Manuscript
Download (571kB)| Preview

Abstract

This paper addresses the problem of 'quickest possible' online transient stability assessment, by minimizing the decision time of combined event detection that might lead to a system split and unstable generator group prediction, from real-time wide area power system measurements. More importantly it does so by respecting predefined probabilistic error constraints for the prediction. The statistical theory of optimal detection is applied, firstly to choose the detection threshold and secondly to select a flexible assessment time, after using probabilistic neural networks to provide a temporal representation of the data. On simulated wide area measurements from the interconnected New England test system and New York power system this approach is between two and three times faster on average than strategies based on fixed assessment times, despite having comparable error rates.

ORCID iDs

Gonzalez, Jhonny, Papadopoulos, Panagiotis N. ORCID logoORCID: https://orcid.org/0000-0001-7343-2590, Milanović, Jovica V., Peskir, Goran and Moriarty, John;
  • Item type:Article
    ID code:76786
    Dates:
    Date
    Event
    30 September 2021
    Published
    3 June 2021
    Published Online
    29 May 2021
    Accepted
    Notes:© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Science > Mathematics > Electronic computers. Computer science
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:16 Jun 2021 08:44
    Last modified:20 Nov 2024 21:24
    URI:https://strathprints.strath.ac.uk/id/eprint/76786
CORE (COnnecting REpositories)