A Generalized Framework for Service Restoration in a Resilient Power Distribution System

Poudel, Shiva; Dubey, Anamika; Schneider, Kevin P.

doi:10.1109/jsyst.2020.3011901

A Generalized Framework for Service Restoration in a Resilient Power Distribution System

Journal Article · Mon Aug 10 00:00:00 EDT 2020 · IEEE Systems Journal

DOI:https://doi.org/10.1109/jsyst.2020.3011901· OSTI ID:1907431

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Washington State Univ., Pullman, WA (United States)
Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Seattle Research Center

An electric power grid is one of the complex infrastructures, and because of its complex nature, there is simply no way that outages can be completely avoided. Thus, a modern society that depends on reliable electric supply requires a resilient electric system that can recover from disruptions while integrating emerging smart grid technologies. Here, this article presents a novel approach for service restoration in a modern power distribution system with controllable switches and distributed generation (DG) resources for any kind of outage. The proposed framework supports both the traditional service restoration using feeder reconfiguration and the grid-forming DG-assisted intentional islands that are dynamically sized using algorithms based on the fault scenario, available resources, and priority of loads. The problem is formulated as a mixed-integer linear program that incorporates critical system connectivity and operating constraints. Simulations are performed to demonstrate the effectiveness of the proposed approach using a large-scale four-feeder 1069-bus three-phase unbalanced distribution test system. It is demonstrated that the framework is effective in utilizing all available resources in quickly restoring the power supply to improve resiliency during extreme events and is scalable for a large-scale unbalanced power distribution system.

View Accepted Manuscript (DOE)

Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-76RL01830

OSTI ID:: 1907431

Report Number(s):: PNNL-SA-154731

Journal Information:: IEEE Systems Journal, Vol. 16, Issue 1; ISSN 1932-8184

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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