期刊
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
卷 69, 期 3, 页码 765-772出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TEM.2021.3055139
关键词
Computer crime; Load forecasting; Power systems; Computer hacking; Data integrity; Data models; Vegetation; Artificial intelligence; cyber security; data attacks; load forecasting; machine learning; outage management systems; power systems; state estimation
资金
- Department of Energy [DE-OE0000811]
- National Science Foundation [1839812]
- Directorate For Engineering
- Div Of Electrical, Commun & Cyber Sys [1839812] Funding Source: National Science Foundation
This article discusses potential cyberattacks on power systems, introduces a new research topic on data integrity attacks to outage management systems, and relates this topic to recent progress in state estimation, load forecasting, and outage prediction areas.
In developed countries, the electric grid and the Internet are societal necessities. In developing countries, both have grown rapidly during the past few decades. The operational benefits from adding digital and communications overlays to the power grid and the resulting coevolution of the two technologies have expose the power systems to potential cyberattacks. The outage management system (OMS) is a crucial component of outage restoration and reliability planning. In this article, we propose a new research topic on data integrity attacks to OMSs. We discuss the scenarios of such attacks, their consequences, and the means to detect and mitigate the attacks. We relate this proposed research topic to the recent progress in three areas, state estimation, load forecasting, and outage prediction. Finally, we discuss the practical challenges and future research directions.
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