ANOCA: AC Network-aware Optimal Curtailment Approach for Dynamic Hosting Capacity
Conference Year
2024
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.
Primary Faculty Mentor Name
Amritanshu Pandey
Status
Graduate
Student College
College of Engineering and Mathematical Sciences
Program/Major
Electrical Engineering
Primary Research Category
Engineering and Math Science
ANOCA: AC Network-aware Optimal Curtailment Approach for Dynamic Hosting Capacity
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.