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Bibliographic Details
Main Authors: Liu, Bin, Braslavsky, Julio H.
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2308.14293
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author Liu, Bin
Braslavsky, Julio H.
author_facet Liu, Bin
Braslavsky, Julio H.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2308_14293
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Robust Dynamic Operating Envelopes via Superellipsoid-based Convex Optimisation in Unbalanced Distribution Networks
Liu, Bin
Braslavsky, Julio H.
Optimization and Control
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.
title Robust Dynamic Operating Envelopes via Superellipsoid-based Convex Optimisation in Unbalanced Distribution Networks
topic Optimization and Control
url https://arxiv.org/abs/2308.14293