Wholesale Market Participation via Competitive DER Aggregation

[2307.02004] Wholesale Market Participation via Competitive DER Aggregation Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Electrical Engineering and Systems Science > Systems and Control arXiv:2307.02004 (eess) [Submitted on 5 Jul 2023 ( v1 ), last revised 14 Apr 2026 (this version, v6)] Title: Wholesale Market Participation via Competitive DER Aggregation Authors: Cong Chen , Ahmed S. Alahmed , Timothy D. Mount , Lang Tong View a PDF of the paper titled Wholesale Market Participation via Competitive DER Aggregation, by Cong Chen and 3 other authors View PDF HTML (experimental) Abstract: We consider the aggregation of distributed energy resources (DERs), such as solar PV, energy storage, and flexible loads, by a profit-seeking aggregator participating directly in the wholesale market under distribution network access constraints. We propose a competitive DER aggregator (DERA) model that directly controls local DERs to maximize its profits, while ensuring each aggregated customer gains a surplus higher than their surplus under the regulated retail tariff. The DERA participates in the wholesale electricity market as virtual storage with optimized generation offers and consumption bids derived from the propoed competitive aggregation model. Also derived are DERA's bid curves for the distribution network access and DERA's profitability when competing with the regulated retail tariff. We show that, with the same distribution network access, the proposed DERA's wholesale market participation achieves the same welfare-maximizing outcome as when its customers participate directly in the wholesale market. Extensive numerical studies compare the proposed DERA with existing methods in terms of customer surplus and DERA profit. We empirically evaluate how many DERAs can survive in the competition at long-run equilibrium, and assess the impacts of DER adoption levels and distribution network access on short-run operations. Subjects: Systems and Control (eess.SY) Cite as: arXiv:2307.02004 [eess.SY] (or arXiv:2307.02004v6 [eess.SY] for this version) https://doi.org/10.48550/arXiv.2307.02004 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Cong Chen [ view email ] [v1] Wed, 5 Jul 2023 03:29:31 UTC (1,549 KB) [v2] Mon, 8 Jan 2024 03:00:21 UTC (1,254 KB) [v3] Sun, 23 Jun 2024 15:51:15 UTC (768 KB) [v4] Fri, 11 Jul 2025 05:51:42 UTC (829 KB) [v5] Sun, 7 Dec 2025 17:15:49 UTC (829 KB) [v6] Tue, 14 Apr 2026 23:59:06 UTC (838 KB) Full-text links: Access Paper: View a PDF of the paper titled Wholesale Market Participation via Competitive DER Aggregation, by Cong Chen and 3 other authors View PDF HTML (experimental) TeX Source view license Current browse context: eess.SY < prev | next > new | recent | 2023-07 Change to browse by: cs cs.SY eess 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

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