Advances in Methods and Metrics for Power Systems, from Reliability to Resilience

Dear Colleagues,

Modern-day society has become increasingly dependent upon electrical infrastructure for many subsequent benefits to the net quality of life. Consequently, large power outages can result in great social-economic damage and individual death. Maintaining acceptable performance levels of the electric power grid is therefore of critical importance. This Special Issue in Energies titled “Advances in Methods and Metrics for Power Systems, from Reliability to Resilience” focuses on innovative and novel interdisciplinary research for improving power grid resilience, building upon traditional reliability to advance concepts that address manmade and natural threats. Understanding value starts with the ability to measure benefit, so this Special Issue is focused on illuminating ideas and approaches that benchmark measurable improvement toward achieving resilience to cyber attacks, complex failures, damaging storms, and the like. The scope covers important areas, such as power system control schemes, system hardening designs, assessment methods, cyber–physical systems, cyber–physical root cause assessment and visualization, and resilience metrics for both the distribution and transmission level. General topics of interest include, but are not limited to, the following:

• Power systems resilience and reliability: metrics, methods, challenges, definitions, and practical implementations;
• Microgrids: fault tolerance reconfigurations, intelligent controls, energy diversification, solid state power electronics, and resilience metrics;
• Distribution and transmission system state awareness: resilience metrics, cyber–physical control/anomaly detection, distributed analysis, and cyber–physical visualization of root cause;
• Power systems control theory: intelligent, reconfigurable, optimal, and human-machine interaction;
• Power system sensor architectures: embedded modeling and analysis, intelligence and agents, wireless control and determinism, and multi-parameter integration and diversity;
• Computational intelligence: machine learning, neural networks, fuzzy logic, evolutionary computation, and Bayesian belief networks;
• Cyber–physical power and energy systems: real-time communication, protection, control, resilience, reliability, sustainability, and efficiency;
• Distributed intelligence: Failure/error tolerance and recovery, adaptable/flexible architectures, reconfigurable microgrids, multi-level/agent systems, multi-sensor fusion, tele-presence, probabilistic behaviors, performance validation/verification, and communications security;
• Cyber architecture: health indicators and defense optimization;
• Data fusion: data reduction, security characterization, data diversity, anomaly detection, and response prioritization.

Dr. Bjorn Vaagensmith
Dr. Craig Rieger
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• Power systems resilience metrics
• Resilient control systems
• Power systems reliability
• Probabilistic risk assessment
• Microgrids
• Distribution and transmission systems
• Power systems control theory
• Power system sensor architectures
• Cyber–physical systems
• Cyber–physical state awareness.