Intelligent Prediction of Alarm Response Time in Modular and Data-Centric Transmission Grid Operation
Year: 2025
Type: conference-paper
Abstract: This paper presents the theory and implementation of techniques to predict the time available for the Control Center personnel of transmission and distribution system operators to respond to an alarming event related to a grid asset. The described techniques include trendline, linear regression, value-at-risk and k-means classification-based prediction and are implemented to support decision-making even with poor quality SCADA data. These techniques have already been deployed in a modular transmission control center alarming and logging system and can be applied for a variety of assets in power systems as well as in other utilities and process industries.
Source: Tagung Zukünftige Stromnetze ...
Authors: Hamza Bokhari, Ilja Krybus, Maik Scholz, Ralf Heisig
Institution: 50Hertz Transmission GmbH (Germany)
Language: English
Topic: Smart Grid and Power Systems
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4411209180