Power Distribution Network Reconfiguration for Distributed Generation Maximization

[2406.11332] Power Distribution Network Reconfiguration for Distributed Generation Maximization Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Mathematics > Optimization and Control arXiv:2406.11332 (math) [Submitted on 17 Jun 2024 ( v1 ), last revised 9 Apr 2026 (this version, v2)] Title: Power Distribution Network Reconfiguration for Distributed Generation Maximization Authors: Kin Cheong Sou , Gabriel Malmer , Lovisa Thorin , Olof Samuelsson View a PDF of the paper titled Power Distribution Network Reconfiguration for Distributed Generation Maximization, by Kin Cheong Sou and 3 other authors View PDF HTML (experimental) Abstract: Network reconfiguration can significantly increase the hosting capacity (HC) for distributed generation (DG) in radially operated systems, thereby reducing the need for costly infrastructure upgrades. However, when the objective is DG maximization, jointly optimizing topology and power dispatch remains computationally challenging. Existing approaches often rely on relaxations or approximations, yet we provide counterexamples showing that interior point methods, linearized DistFlow and second-order cone relaxations all yield erroneous results. To overcome this, we propose a solution framework based on the exact DistFlow equations, formulated as a bilinear program and solved using spatial branch-and-bound (SBB). Numerical studies on standard benchmarks and a 533-bus real-world system demonstrate that our proposed method reliably performs reconfiguration and dispatch within time frames compatible with real-time operation. Subjects: Optimization and Control (math.OC) ; Systems and Control (eess.SY) Cite as: arXiv:2406.11332 [math.OC] (or arXiv:2406.11332v2 [math.OC] for this version) https://doi.org/10.48550/arXiv.2406.11332 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Kin Cheong Sou [ view email ] [v1] Mon, 17 Jun 2024 08:43:02 UTC (26,446 KB) [v2] Thu, 9 Apr 2026 07:49:02 UTC (1,895 KB) Full-text links: Access Paper: View a PDF of the paper titled Power Distribution Network Reconfiguration for Distributed Generation Maximization, by Kin Cheong Sou and 3 other authors View PDF HTML (experimental) TeX Source view license Current browse context: math.OC < prev | next > new | recent | 2024-06 Change to browse by: cs cs.SY eess eess.SY math References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from

Related documents

• Reliability correlated optimal planning of distribution network with distributed generation#16685
• Decentralised Plug-and-Play Stability Conditions for AC Grids-Part II: Unstable Subsystems#975378
• An evaluation of current high-performance networks#612028
• Optimizing renewable fuel supply chain network design under sustainability and uncertainty considerations / Mina Farajiamiri ; Grit Walther, Sandra Venghaus#658404
• The U.S. Interconnection Queue System: Cascading Vulnerability Analysis and a Resilience Engineering Framework#997336