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

Author

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  • 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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    Cited by:

    1. Yang Tang & Yifeng Liu & Weiqiang Huo & Meng Chen & Shilong Ye & Lei Cheng, 2023. "Optimal Allocation Scheme of Renewable Energy Consumption Responsibility Weight under Renewable Portfolio Standards: An Integrated Evolutionary Game and Stochastic Optimization Approach," Energies, MDPI, vol. 16(7), pages 1-22, March.

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