Situational Awareness of De-energized Lines During Loss of SCADA Communication in Electric Power Distribution Systems
Title | Situational Awareness of De-energized Lines During Loss of SCADA Communication in Electric Power Distribution Systems |
Publication Type | Conference Paper |
Year of Publication | 2022 |
Authors | Leak, Matthew Haslett, Venayagamoorthy, Ganesh Kumar |
Conference Name | 2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) |
Keywords | composability, Distributed databases, Distribution Systems, Load flow, load forecast, load forecasting, Neural networks, Poles and towers, power distribution, Predictive Metrics, Predictive models, pubcrawl, Resiliency, security situational awareness, situational awareness, Training data, Weather forecasting |
Abstract | With the electric power distribution grid facing ever increasing complexity and new threats from cyber-attacks, situational awareness for system operators is quickly becoming indispensable. Identifying de-energized lines on the distribution system during a SCADA communication failure is a prime example where operators need to act quickly to deal with an emergent loss of service. Loss of cellular towers, poor signal strength, and even cyber-attacks can impact SCADA visibility of line devices on the distribution system. Neural Networks (NNs) provide a unique approach to learn the characteristics of normal system behavior, identify when abnormal conditions occur, and flag these conditions for system operators. This study applies a 24-hour load forecast for distribution line devices given the weather forecast and day of the week, then determines the current state of distribution devices based on changes in SCADA analogs from communicating line devices. A neural network-based algorithm is applied to historical events on Alabama Power's distribution system to identify de-energized sections of line when a significant amount of SCADA information is hidden. |
DOI | 10.1109/TD43745.2022.9816985 |
Citation Key | leak_situational_2022 |