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Distributed Network-Constrained P2P Community-Based Market for Distribution Networks

Author

Listed:
  • Carlos Oliveira

    (Center for Power and Energy Systems, Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), 4200-465 Porto, Portugal
    Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal)

  • Micael Simões

    (Center for Power and Energy Systems, Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), 4200-465 Porto, Portugal
    Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal)

  • Leonardo Bitencourt

    (Electrical Energy Department, Federal University of Juiz de Fora (UFJF), Juiz de Fora 36036-330, MG, Brazil)

  • Tiago Soares

    (Center for Power and Energy Systems, Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), 4200-465 Porto, Portugal)

  • Manuel A. Matos

    (Center for Power and Energy Systems, Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), 4200-465 Porto, Portugal
    Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal)

Abstract

Energy communities have been designed to empower consumers while maximizing the self-consumption of local renewable energy sources (RESs). Their presence in distribution systems can result in strong modifications in the operation and management of such systems, moving from a centralized operation to a distributed one. In this scope, this work proposes a distributed community-based local energy market that aims at minimizing the costs of each community member, accounting for the technical network constraints. The alternating direction method of multipliers (ADMM) is adopted to distribute the market, and preserve, as much as possible, the privacy of the prosumers’ assets, production, and demand. The proposed method is tested on a 10-bus medium voltage radial distribution network, in which each node contains a large prosumer, and the relaxed branch flow model is adopted to model the optimization problem. The market framework is proposed and modeled in a centralized and distributed fashion. Market clearing on a day-ahead basis is carried out taking into account actual energy exchanges, as generation from renewable sources is uncertain. The comparison between the centralized and distributed ADMM approach shows an 0.098% error for the nodes’ voltages. The integrated OPF in the community-based market is a computational burden that increases the resolution of the market dispatch problem by about eight times the computation time, from 200.7 s (without OPF) to 1670.2 s. An important conclusion is that the proposed market structure guarantees that P2P exchanges avoid the violation of the network constraints, and ensures that community agents’ can still benefit from the community-based architecture advantages.

Suggested Citation

  • Carlos Oliveira & Micael Simões & Leonardo Bitencourt & Tiago Soares & Manuel A. Matos, 2023. "Distributed Network-Constrained P2P Community-Based Market for Distribution Networks," Energies, MDPI, vol. 16(3), pages 1-16, February.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1520-:d:1056799
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    References listed on IDEAS

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    1. Tushar, Wayes & Yuen, Chau & Saha, Tapan K. & Morstyn, Thomas & Chapman, Archie C. & Alam, M. Jan E. & Hanif, Sarmad & Poor, H. Vincent, 2021. "Peer-to-peer energy systems for connected communities: A review of recent advances and emerging challenges," Applied Energy, Elsevier, vol. 282(PA).
    2. Liu, Guodong & Jiang, Tao & Ollis, Thomas B. & Zhang, Xiaohu & Tomsovic, Kevin, 2019. "Distributed energy management for community microgrids considering network operational constraints and building thermal dynamics," Applied Energy, Elsevier, vol. 239(C), pages 83-95.
    3. Ruan, Hebin & Gao, Hongjun & Qiu, Haifeng & Gooi, Hoay Beng & Liu, Junyong, 2023. "Distributed operation optimization of active distribution network with P2P electricity trading in blockchain environment," Applied Energy, Elsevier, vol. 331(C).
    4. Lüth, Alexandra & Zepter, Jan Martin & Crespo del Granado, Pedro & Egging, Ruud, 2018. "Local electricity market designs for peer-to-peer trading: The role of battery flexibility," Applied Energy, Elsevier, vol. 229(C), pages 1233-1243.
    5. van Leeuwen, Gijs & AlSkaif, Tarek & Gibescu, Madeleine & van Sark, Wilfried, 2020. "An integrated blockchain-based energy management platform with bilateral trading for microgrid communities," Applied Energy, Elsevier, vol. 263(C).
    6. Wanessa Guedes & Lucas Deotti & Bruno Dias & Tiago Soares & Leonardo Willer de Oliveira, 2022. "Community Energy Markets with Battery Energy Storage Systems: A General Modeling with Applications," Energies, MDPI, vol. 15(20), pages 1-22, October.
    7. Dynge, Marthe Fogstad & Crespo del Granado, Pedro & Hashemipour, Naser & Korpås, Magnus, 2021. "Impact of local electricity markets and peer-to-peer trading on low-voltage grid operations," Applied Energy, Elsevier, vol. 301(C).
    8. Cornélusse, Bertrand & Savelli, Iacopo & Paoletti, Simone & Giannitrapani, Antonio & Vicino, Antonio, 2019. "A community microgrid architecture with an internal local market," Applied Energy, Elsevier, vol. 242(C), pages 547-560.
    9. Bertrand Corn'elusse & Iacopo Savelli & Simone Paoletti & Antonio Giannitrapani & Antonio Vicino, 2018. "A Community Microgrid Architecture with an Internal Local Market," Papers 1810.09803, arXiv.org, revised Feb 2019.
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