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A motivational local trading framework with 2-round auctioning and settlement rules embedded in smart contracts for a small citizen energy community

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  • Oprea, Simona-Vasilica
  • Bâra, Adela
  • Diaconita, Vlad

Abstract

We propose a motivational local trading framework with a 2-round auctioning system and a novel settlement approach to stimulate local transactions on the electricity surplus of a small community. Two auction price systems and several settlement mechanisms are formulated and compared to assess local trading profit and local market efficiency. We also implement a SC-based mechanism that embeds the auction results and rules to increase trust in the bidding and settlement processes. Our simulations use actual consumption and generation data from 11 houses with smart appliances and self-generation capabilities. We show that auctions, if used consistently, can help the development of a local trade by encouraging people to buy from their neighbors and invest in more generating facilities, knowing that there is a local market on which to rely. Compared to the hybrid - Pay-as-Bid (PaB) in the 1st round plus Uniform Price (UP) in the 2nd round - approach, the pure 2-round UP auction was shown to decrease trading with the retailer by 7.5%. The market indicators are quite similar for the two pricing methods, whereas the proposed settlement mechanism reduces the buyers' payments by 7% and increases sellers' encashments by around 8%.

Suggested Citation

  • Oprea, Simona-Vasilica & Bâra, Adela & Diaconita, Vlad, 2022. "A motivational local trading framework with 2-round auctioning and settlement rules embedded in smart contracts for a small citizen energy community," Renewable Energy, Elsevier, vol. 193(C), pages 225-239.
    • Handle: RePEc:eee:renene:v:193:y:2022:i:c:p:225-239
    DOI: 10.1016/j.renene.2022.04.149
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    1. Kermani, Mostafa & Adelmanesh, Behin & Shirdare, Erfan & Sima, Catalina Alexandra & Carnì, Domenico Luca & Martirano, Luigi, 2021. "Intelligent energy management based on SCADA system in a real Microgrid for smart building applications," Renewable Energy, Elsevier, vol. 171(C), pages 1115-1127.
    2. Oprea, Simona-Vasilica & Bâra, Adela, 2021. "Devising a trading mechanism with a joint price adjustment for local electricity markets using blockchain. Insights for policy makers," Energy Policy, Elsevier, vol. 152(C).
    3. Max R. Blouin & Roberto Serrano, 2001. "A Decentralized Market with Common Values Uncertainty: Non-Steady States," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(2), pages 323-346.
    4. Venizelou, Venizelos & Makrides, George & Efthymiou, Venizelos & Georghiou, George E., 2020. "Methodology for deploying cost-optimum price-based demand side management for residential prosumers," Renewable Energy, Elsevier, vol. 153(C), pages 228-240.
    5. Roger B. Myerson, 1981. "Optimal Auction Design," Mathematics of Operations Research, INFORMS, vol. 6(1), pages 58-73, February.
    6. Mengelkamp, Esther & Gärttner, Johannes & Rock, Kerstin & Kessler, Scott & Orsini, Lawrence & Weinhardt, Christof, 2018. "Designing microgrid energy markets," Applied Energy, Elsevier, vol. 210(C), pages 870-880.
    7. Gjorgievski, Vladimir Z. & Cundeva, Snezana & Georghiou, George E., 2021. "Social arrangements, technical designs and impacts of energy communities: A review," Renewable Energy, Elsevier, vol. 169(C), pages 1138-1156.
    8. Andoni, Merlinda & Robu, Valentin & Flynn, David & Abram, Simone & Geach, Dale & Jenkins, David & McCallum, Peter & Peacock, Andrew, 2019. "Blockchain technology in the energy sector: A systematic review of challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 143-174.
    9. Paladin, Andrea & Das, Ridoy & Wang, Yue & Ali, Zunaib & Kotter, Richard & Putrus, Ghanim & Turri, Roberto, 2021. "Micro market based optimisation framework for decentralised management of distributed flexibility assets," Renewable Energy, Elsevier, vol. 163(C), pages 1595-1611.
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    Cited by:

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    3. Dorahaki, Sobhan & Rashidinejad, Masoud & Fatemi Ardestani, Seyed Farshad & Abdollahi, Amir & Salehizadeh, Mohammad Reza, 2023. "An integrated model for citizen energy communities and renewable energy communities based on clean energy package: A two-stage risk-based approach," Energy, Elsevier, vol. 277(C).

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