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Center for Nonlinear Studies |
Electric power is crucial in maintaining services for critical applications across multiple infrastructures such as communication and transportation. Starting with lessons learned from field observations during extreme events, the talk proceeds to define and model power supply resiliency considering distributed energy resources in the form of microgrids and lifeline dependencies during extreme events. The talk also discusses buffering or storage as a fundamental notion necessary to characterize and regulate failure propagation within networks and between dependent infrastructure systems. Infrastructures are often characterized by the function or services they provide. In general, physical infrastructure components allow for the flow of such services from a source to a sink (or service user). In turn, such service flow within an infrastructure system requires proper internal connectivity and control and, often, services that are usually provided by other infrastructure systems. Thus, power resiliency modeling is performed using failure or quality degradation and restoration times for its system components and its associated services. Additionally, grid tied microgrids provide diversity in power sources using distributed energy resources that also have dependencies on other infrastructures and storage. Results indicate that storage and diversity are key features that improve power supply resiliency in extreme events and can delay or prevent failure propagation within and between networks.
Host: Russell Bent