Robust Dynamic Operating Envelopes via Superellipsoid-based Convex Optimisation in Unbalanced Distribution Networks

TL;DR

This paper introduces a robust method for calculating dynamic operating envelopes in unbalanced distribution networks, effectively managing uncertainties to optimize network capacity and DER integration.

Contribution

It presents a superellipsoid-based convex optimization approach that enhances robustness against uncertainties in capacity utilization, achieving near-global optimality.

Findings

The proposed method improves robustness against uncertainties.

It attains near-global optimality performance.

The approach effectively manages DER integration in distribution networks.

Abstract

Dynamic operating envelopes (DOEs) have been introduced to integrate distributed energy resources (DER) in distribution networks via real-time management of network capacity limits. Recent research demonstrates that uncertainties in DOE calculations should be carefully considered to ensure network integrity while minimising curtailment of consumer DERs. This letter proposes a novel approach to calculating DOEs that is robust against uncertainties in the utilisation of allocated capacity limits and demonstrates that the reported solution can attain close to global optimality performance compared with existing approaches.