Coordinated Distribution Network Reconfiguration and Multiperiod Optimal Power Flow for Renewable-Rich Systems with Battery Energy Storage

Coordinated Distribution Network Reconfiguration and Multiperiod Optimal Power Flow for Renewable-Rich Systems with Battery Energy Storage | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL IET Generation, Transmission & Distribution This is a preprint and has not been peer reviewed. Data may be preliminary. 12 May 2026 V1 Latest version Share on Coordinated Distribution Network Reconfiguration and Multiperiod Optimal Power Flow for Renewable-Rich Systems with Battery Energy Storage Authors : Yanick Gomes 0009-0001-8887-7952 [email protected] and Edmarcio Belati [email protected] Authors Info & Affiliations https://doi.org/10.22541/authorea.15003158/v1 16 views 15 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract The high penetration of Distributed Energy Resources (DERs) in radial distribution networks introduces significant operational chal lenges, including increased power losses and reverse power flows. This paper proposes a two-phase coordinated framework that integrates Distribution Network Reconfiguration (DNR) and Multiperiod Optimal Power Flow (MOPF) with Battery Energy Storage Systems (BESS) over a 24-hour horizon. In the first phase, Differential Evolution (DE) is selected among three metaheuristic algo rithms through a systematic evaluation, achieving a 100% success rate in identifying optimal hourly network configurations. Based on these results, a representative daily topology is determined. In the second phase, a mixed-integer nonlinear programming (MINLP) model is employed to optimise BESS operation, considering renewable generation and load variability. The proposed approach is validated on a modified IEEE 33-bus system. Results show that DNR alone reduces power losses by 28.06%, cor responding to annual savings of USD 25,833. When combined with BESS, the coordinated DNR–BESS strategy achieves a loss reduction of 33.93%, increasing savings to USD 31,210, while effectively mitigating reverse power flows. These results demon strate that the proposed coordinated framework significantly outperforms conventional single-strategy approaches, providing an effective and practical solution for the operation of active distribution networks with high renewable penetration. 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(1) Download 355.31 KB File (framework.png) framework Download 1005.32 KB File (pso_sobol.png) pso_sobol Download 300.75 KB File (iet.bib) iet Download 26.22 KB Information & Authors Information Version history V1 Version 1 12 May 2026 Collection IET Generation, Transmission & Distribution Keywords electric power generation energy storage power distribution planning power distribution protection power generation reliability power grids power system management power systems power distribution power grids power system analysis computing power system dynamic stability power system economics power system control power system measurement power system planning power system protection power systems coupled circuits power systems smart power grids Distribution Planning and Operation distribution networks distributed power generation energy storage AC-AC power convertors AC-DC power convertors electric power generation energy storage power distribution planning power distribution protection power generation reliability power grids power system management power systems power distribution power grids power system analysis computing power system dynamic stability power system economics power system control power system measurement power system planning power system protection power systems coupled circuits power systems smart power grids Authors Affiliations Yanick Gomes 0009-0001-8887-7952 [email protected] View all articles by this author Edmarcio Belati [email protected] UFABC, Santo André, Brazil View all articles by this author Metrics & Citations Metrics Article Usage 16 views 15 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Yanick Gomes, Edmarcio Belati. Coordinated Distribution Network Reconfiguration and Multiperiod Optimal Power Flow for Renewable-Rich Systems with Battery Energy Storage. Authorea . 12 May 2026. DOI: https://doi.org/10.22541/authorea.15003158/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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