Advances in Reliability, Resiliency, and Cyber-Risk Assessment of Transmission, Distribution, and Transportation Electrical Smart Assets

Dear Colleagues,

Because of political, environmental, and societal pressure, the power grid is set for one of its most dramatic shifts in operating philosophy in the last 100 years with the introduction of a broad smart grid concept. Smartening electrical assets, including electrified transportation, is the most advanced tool to face the challenges of increased and improved usage of electrical energy, conjugated with efficiency, cost reduction, reliability, safety, and Return of Investment (ROI).

Among other elements, the smart grid involves elevating a grid, asset, or energy management function to a level of self-knowledge of optimal operating conditions, easily shared with asset and grid managers, including not only metering, but also actuators and the capability of the electrical asset to self-diagnose their health, availability, and integrity.

The recent advances in diagnostic properties and measurement techniques, condition assessment, cyber-risk and threat assessment, machine learning and big data management, information theory, internet-of-things, reliability, resiliency and contribution to asset smartening, and cloud computing, create a new paradigm for the reliability, resiliency, health conditions and cyber-risk assessment and management of emerging smart grid applications and assets. The main goal of this Special Issue is to bring together scholars, researchers, scientists, engineers, and administrators on a common platform to develop, design, and publish new ideas and concepts to improve the monitoring functions of smart asset systems. The relevant topics include, but are not limited to the following:

• Sensing and control for cyber-risk management and assessment;
• Diagnostic properties, measurement techniques, condition monitoring, and health assessment of electrical apparatus;
• Supervisory and data acquisition systems (SCADA) security and reliability;
• Reliability and statistics of smart asset systems;
• Attack and threat modeling and assessment approaches;
• Machine learning and big data for emerging smart asset applications;
• Smart grid and smart asset security and real-time assessment.

Dr.  Charalambos Konstantinou
Dr. Gian Carlo Montanari
Guest Editors

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• smart asset systems
• cyber-risk management and assessment
• electrical apparatus
• diagnostic properties
• measurement techniques
• condition monitoring
• machine learning
• big data
• real-time assessment
• power grid
• electrified transportation