ANOCA: AC Network-aware Optimal Curtailment Approach for Dynamic Hosting Capacity
Badmus, Emmanuel Oluwatobi
Badmus, Emmanuel Oluwatobi
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Abstract
The exponential growth of distributed energy resources (DERs) challenges distribution grids, limiting prosumers’ ability to export power without breaching technical constraints. Current dynamic hosting capacity (DHC) algorithms, based on operating envelopes (OE), inadequately address this due to their reliance on convex or linear models that fail to accurately represent grid physics. We introduce a bi-level optimization framework utilizing three-phase AC models for DHC. This framework combines prosumer-initiated optimization with utility-driven infeasibility management, employing L1, L2, and L∞-norm curtailment schemes. Tested on a 1420-node network, it ensures optimal DER curtailment while maintaining AC network feasibility.
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Graduate
Date
2024-01-01