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A Two-Phase Hybrid Trading of Green Certificate under Renewables Portfolio Standards in Community of Active Energy Agents

Author

Listed:
  • Yaxin Tan

    (College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China)

  • Zhiyu Xu

    (College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China
    Sino-German Research Center on Intelligent Sciences and Technology (CDFIWT), Tongji University, Shanghai 201804, China)

  • Weisheng Xu

    (College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China
    Office of Informatization, Tongji University, Shanghai 200092, China)

Abstract

The future distribution network is a community involving numerous active energy agents (AEAs) and a local operator. Each AEA is obligated to meet the renewables portfolio standards (RPS) with enough green certificates (GCs), which can be obtained from renewable energy consumption or from GC trading. This paper concentrates on the GC trading in AEA community and proposes a two-phase hybrid mechanism, which combines the peer-to-peer (P2P) phase and the centralized phase. In Phase 1, GCs are traded among AEAs in P2P manner. All AEAs are classified into two types: naïve and sophisticated, each of which has the specific preference in GC trading. Additionally, each AEA finds trading partners by adopting multi-option-based matching. In Phase 2, the remaining GCs are traded between AEAs and the local operator. Numeric studies are performed on a 30-AEA community in three different market scenarios: globally balanced, undersupplied, and oversupplied. Simulation results indicate the optimality of bi-option, verify the effectiveness of the hybrid trading, and reveal the economic advantages over the sole centralized counterpart. The impact of AEA type is also discussed on both updating quotation and concluding deals.

Suggested Citation

  • Yaxin Tan & Zhiyu Xu & Weisheng Xu, 2022. "A Two-Phase Hybrid Trading of Green Certificate under Renewables Portfolio Standards in Community of Active Energy Agents," Energies, MDPI, vol. 15(19), pages 1-17, September.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:6915-:d:921109
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    References listed on IDEAS

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    1. Unger, Thomas & Ahlgren, Erik O., 2005. "Impacts of a common green certificate market on electricity and CO2-emission markets in the Nordic countries," Energy Policy, Elsevier, vol. 33(16), pages 2152-2163, November.
    2. Marchenko, O.V., 2008. "Modeling of a green certificate market," Renewable Energy, Elsevier, vol. 33(8), pages 1953-1958.
    3. Lipp, Judith, 2007. "Lessons for effective renewable electricity policy from Denmark, Germany and the United Kingdom," Energy Policy, Elsevier, vol. 35(11), pages 5481-5495, November.
    4. Ryan Wiser & Kevin Porter & Robert Grace, 2005. "Evaluating Experience with Renewables Portfolio Standards in the United States," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 10(2), pages 237-263, April.
    5. Sun, Yanming, 2016. "The optimal percentage requirement and welfare comparisons in a two-country electricity market with a common tradable green certificate system," Economic Modelling, Elsevier, vol. 55(C), pages 322-327.
    6. Ning Wang & Weisheng Xu & Zhiyu Xu & Weihui Shao, 2018. "Peer-to-Peer Energy Trading among Microgrids with Multidimensional Willingness," Energies, MDPI, vol. 11(12), pages 1-22, November.
    7. Min Fu & Zhiyu Xu & Ning Wang & Xiaoyu Lyu & Weisheng Xu, 2020. "“Peer-to-Peer Plus” Electricity Transaction within Community of Active Energy Agents Regarding Distribution Network Constraints," Energies, MDPI, vol. 13(9), pages 1-23, May.
    8. Zahedi, A., 2010. "A review on feed-in tariff in Australia, what it is now and what it should be," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 3252-3255, December.
    9. Thomas Morstyn & Niall Farrell & Sarah J. Darby & Malcolm D. McCulloch, 2018. "Using peer-to-peer energy-trading platforms to incentivize prosumers to form federated power plants," Nature Energy, Nature, vol. 3(2), pages 94-101, February.
    10. Zhang, Chenghua & Wu, Jianzhong & Zhou, Yue & Cheng, Meng & Long, Chao, 2018. "Peer-to-Peer energy trading in a Microgrid," Applied Energy, Elsevier, vol. 220(C), pages 1-12.
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    Cited by:

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