Microgrid Resilience Training

What is the definition of microgrid resilience?

Microgrid resilience refers to building highly resilient microgrids that require a methodological assessment of potential threats and identification of vulnerabilities, and the design of mitigation strategies. This paper provides a comprehensive review of threats, vulnerabilities, and mitigation strategies and develops this definition for microgrid resilience.

What are microgrid-based resilience enhancement approaches in distribution systems?

The objective of this paper is to present an updated comprehensive review of the literature on two main categories of microgrid-based resilience enhancement approaches in distribution systems: 1) optimal microgrid formation and 2) optimal microgrid scheduling and energy management.

Is a microgrid resilient against cyber threats?

Microgrids can provide a backup source of power during grid outages and ensure the resilience of critical loads. However, this requires that the microgrid itself is resilient to both physical and cyber threats.

Do critical infrastructure systems affect resilience modeling of a microgrid?

Critical Infrastructure (CI) systems pose threats to microgrid operation due to their highly interdependent nature. The impact of interdependencies between CI systems on resilience modeling of the microgrid is discussed. Due to interruptions in natural gas and/or water supply, there are threats to the microgrid.

Are microgrids resilient during disruptive events?

Microgrids can be made more resilient during a disruptive event by considering a set of mitigation measures in the planning phase of their design. This increases microgrids' robustness or resistance and maintains supply. (In the Original Operational Mode section of Fig. 8 )

Can digital twins improve resilience scheduling for microgrids?

Strong uncertainty of renewables puts high demands on the fast response of flexibility resources and resilience-oriented optimal scheduling for microgrids (MGs). Digital twins (DT) technology based on data-driven methods is a potential solution to this problem. A DT-based online resilience scheduling framework for MGs is designed in this study.