Robust network topology for unbalanced active distribution networks with uncertain injections
Abstract This research paper introduces a comprehensive formulation for robust dynamic network reconfiguration (NR) of unbalanced active electric distribution networks (DNs). Network reconfiguration is a potent strategy to minimise active power loss in DN as it involves altering network topology thr...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-12-01
|
Series: | IET Energy Systems Integration |
Subjects: | |
Online Access: | https://doi.org/10.1049/esi2.12172 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832582981272731648 |
---|---|
author | Sanat Kumar Paul Abheejeet Mohapatra Dulal Chandra Das |
author_facet | Sanat Kumar Paul Abheejeet Mohapatra Dulal Chandra Das |
author_sort | Sanat Kumar Paul |
collection | DOAJ |
description | Abstract This research paper introduces a comprehensive formulation for robust dynamic network reconfiguration (NR) of unbalanced active electric distribution networks (DNs). Network reconfiguration is a potent strategy to minimise active power loss in DN as it involves altering network topology through sectionalising (normally closed) and tie‐line switches (normally open). However, NR is usually a mixed integer NP‐hard non‐linear optimisation problem due to the discrete nature of the switches. Hence, including variable injection uncertainties (from generation or load) for an unbalanced active DN with all its attributes further poses a significant challenge in solving NR. The proposed formulation addresses these challenges in a robust optimisation (RO) framework to get a robust topology and power and voltage set points for dispatchable Distributed Generators (DGs). Also, Chance‐Constrained robust formulations are proposed to regulate the conservatism of RO. Numerical analyses demonstrate the impact of conservative robust NR on DG set points compared to the non‐robust NR method. Tests on a modified unbalanced IEEE 34‐bus system and comparison with previous formulations verify the efficacy of the proposed approach, showcasing its effectiveness. |
format | Article |
id | doaj-art-dd550358e4534b0ab8597528242adaf1 |
institution | Kabale University |
issn | 2516-8401 |
language | English |
publishDate | 2024-12-01 |
publisher | Wiley |
record_format | Article |
series | IET Energy Systems Integration |
spelling | doaj-art-dd550358e4534b0ab8597528242adaf12025-01-29T05:18:54ZengWileyIET Energy Systems Integration2516-84012024-12-016S182884410.1049/esi2.12172Robust network topology for unbalanced active distribution networks with uncertain injectionsSanat Kumar Paul0Abheejeet Mohapatra1Dulal Chandra Das2Department of Electrical Engineering NIT Silchar Silchar Assam IndiaDepartment of Electrical Engineering IIT Kanpur Kanpur Uttar Pradesh IndiaDepartment of Electrical Engineering NIT Silchar Silchar Assam IndiaAbstract This research paper introduces a comprehensive formulation for robust dynamic network reconfiguration (NR) of unbalanced active electric distribution networks (DNs). Network reconfiguration is a potent strategy to minimise active power loss in DN as it involves altering network topology through sectionalising (normally closed) and tie‐line switches (normally open). However, NR is usually a mixed integer NP‐hard non‐linear optimisation problem due to the discrete nature of the switches. Hence, including variable injection uncertainties (from generation or load) for an unbalanced active DN with all its attributes further poses a significant challenge in solving NR. The proposed formulation addresses these challenges in a robust optimisation (RO) framework to get a robust topology and power and voltage set points for dispatchable Distributed Generators (DGs). Also, Chance‐Constrained robust formulations are proposed to regulate the conservatism of RO. Numerical analyses demonstrate the impact of conservative robust NR on DG set points compared to the non‐robust NR method. Tests on a modified unbalanced IEEE 34‐bus system and comparison with previous formulations verify the efficacy of the proposed approach, showcasing its effectiveness.https://doi.org/10.1049/esi2.12172distributed power generationdistribution networksoptimisationpower distribution planningsmart power grids |
spellingShingle | Sanat Kumar Paul Abheejeet Mohapatra Dulal Chandra Das Robust network topology for unbalanced active distribution networks with uncertain injections IET Energy Systems Integration distributed power generation distribution networks optimisation power distribution planning smart power grids |
title | Robust network topology for unbalanced active distribution networks with uncertain injections |
title_full | Robust network topology for unbalanced active distribution networks with uncertain injections |
title_fullStr | Robust network topology for unbalanced active distribution networks with uncertain injections |
title_full_unstemmed | Robust network topology for unbalanced active distribution networks with uncertain injections |
title_short | Robust network topology for unbalanced active distribution networks with uncertain injections |
title_sort | robust network topology for unbalanced active distribution networks with uncertain injections |
topic | distributed power generation distribution networks optimisation power distribution planning smart power grids |
url | https://doi.org/10.1049/esi2.12172 |
work_keys_str_mv | AT sanatkumarpaul robustnetworktopologyforunbalancedactivedistributionnetworkswithuncertaininjections AT abheejeetmohapatra robustnetworktopologyforunbalancedactivedistributionnetworkswithuncertaininjections AT dulalchandradas robustnetworktopologyforunbalancedactivedistributionnetworkswithuncertaininjections |