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DOE OSTI · 1889985

Optimal Microgrid Networking for Maximal Load Delivery in Phase Unbalanced Distribution Grids: A Declarative Modeling Approach

Fobes, David M.·Nagarajan, Harsha·Bent, Russell Whitford
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Abstract

Over the last several years, microgrids have increasingly become a part of the discussion about technologies that can improve the resilience of modern electrical grids. During extreme situations, microgrids have the capability to provide electrical service to customers within their boundaries when they would otherwise experience disruptions, and, when networked together, provide services to additional customers outside the microgrid boundaries. As a result, these technologies have motivated the community to develop new approaches for leveraging networked microgrid capabilities that utilize increasing levels of modeling sophistication. This has yielded a new challenge, where it has becoming increasingly difficult to fully quantify and evaluate the contribution of such detail. Here, the primary innovation presented in this paper is a method to standardize the approach to quantifying and evaluating these contributions via a declarative modeling approach that supports seamless mix-and-match of representations to ease comparison of modeling approaches and develop comprehensive understandings of how new contributions improve solutions to this problem.

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24 POWER TRANSMISSION AND DISTRIBUTIONComputer ScienceDeclarative ModelingEnergy SciencesMathematicsMaximal Load DeliveryNetworked MicrogridsUnbalanced Optimal Power Flow

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Fobes, David M., Nagarajan, Harsha, Bent, Russell Whitford. 2022-09-21. Optimal Microgrid Networking for Maximal Load Delivery in Phase Unbalanced Distribution Grids: A Declarative Modeling Approach. https://doi.org/10.1109/tsg.2022.3208508

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