DOE OSTI · 3484930
Cybersecurity Risk Profiles for Distributed Energy Resource Management Systems
Abstract
Managing the digitalization of increasingly diversity energy resources is a complex challenge for energy systems planners and managers. As the penetration of solar photovoltaics (PV) and other distributed renewable energy resources (DERs) expands, distributed energy resource management systems (DERMS) will play an increasingly important role in managing, monitoring, and controlling DERs as electric systems before more distributed, interconnected, and networked. However, the cybersecurity implications of DERMS deployments are not well understood today. A lack of understanding around the cybersecurity implications of DERMS deployments and variability in the security posture of DERMS vendors, owners, and operators could introduce new security risks to evolving electric power systems. This paper describes cybersecurity attack scenarios on DERMS, identifies related cybersecurity standards and guidelines, reviews the security features of state-of-the-art DERMS solutions, and offers cybersecurity guidance for DERMS vendors, owners, and operators to protect DERMS' unique capabilities. Standardizing cybersecurity requirements for DERMS could help improve the security of DERMS integrations and improve innovations that are more secure by design. The cybersecurity guidance found in this paper is intended to offer a unified approach and lay the foundation for future standardization of DERMS cybersecurity to reduce risk to the solar industry and other renewable energy stakeholders when integrating these technologies with electric power systems.
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Neely, Chelsea [National Laboratory of the Rockies, Golden, CO (United States)], Cryar, Ryan [National Laboratory of the Rockies, Golden, CO (United States)], Guerra, Jennifer [National Laboratory of the Rockies, Golden, CO (United States)], Saleem, Danish [National Laboratory of the Rockies, Golden, CO (United States)]. 2026-08-20. Cybersecurity Risk Profiles for Distributed Energy Resource Management Systems. https://doi.org/10.66816/tp3801758
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