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A two-stage time-shiftable flexible demand-based Negawatt trading framework in low-voltage distribution networks

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  • Zhang, Chenxi
  • Qiu, Jing
  • Yang, Yi

Abstract

To address challenges in demand-side management amid the burgeoning electrification and the proliferation of emerging loads like electric vehicles (EVs), this paper proposes a novel time-shiftable flexible demand (TSFD)-based peer-to-peer (P2P) negawatt (nW) trading framework aimed at unleashing the potential of residential demand flexibility. Unlike the conventional demand response (DR) schemes, the proposed framework empowers residential consumers to spontaneously and actively arrange their energy usage behaviors based on dynamic market signals, providing them with higher arbitrage opportunities. A two-stage P2P nW trading model is formulated for the proposed framework. In the first stage, a comprehensive nW-oriented home energy management system (HEMS) model is introduced, integrating the intricacies of market role switching and diverse characteristics of TSFD. In the second stage, an intra-community rule-driven P2P nW trading mechanism, encompassing detailed allocation, matchmaking, and payment rules, is designed to ensure the autonomy and independence of participants and efficient market-clearing. The iterative process between the two stages enables optimal scheduling of flexible demand, changeable market roles, and bidding strategies, thereby decreasing electricity usage costs for all nW prosumers. The proposed framework is tested on a 35-node low-voltage (LV) distribution system and simulation results validate its effectiveness and superiority in improving economic benefits and managing demand within the residential community.

Suggested Citation

  • Zhang, Chenxi & Qiu, Jing & Yang, Yi, 2025. "A two-stage time-shiftable flexible demand-based Negawatt trading framework in low-voltage distribution networks," Applied Energy, Elsevier, vol. 382(C).
    • Handle: RePEc:eee:appene:v:382:y:2025:i:c:s0306261924025893
    DOI: 10.1016/j.apenergy.2024.125205
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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. Esther, B. Priya & Kumar, K. Sathish, 2016. "A survey on residential Demand Side Management architecture, approaches, optimization models and methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 342-351.
    3. Azim, M. Imran & Tushar, Wayes & Saha, Tapan K., 2021. "Cooperative negawatt P2P energy trading for low-voltage distribution networks," Applied Energy, Elsevier, vol. 299(C).
    4. Azim, M. Imran & Tushar, Wayes & Saha, Tapan K. & Yuen, Chau & Smith, David, 2022. "Peer-to-peer kilowatt and negawatt trading: A review of challenges and recent advances in distribution networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    5. Zhang, Chenxi & Yang, Yi & Wang, Yunqi & Qiu, Jing & Zhao, Junhua, 2024. "Auction-based peer-to-peer energy trading considering echelon utilization of retired electric vehicle second-life batteries," Applied Energy, Elsevier, vol. 358(C).
    6. Guerrero, Jaysson & Gebbran, Daniel & Mhanna, Sleiman & Chapman, Archie C. & Verbič, Gregor, 2020. "Towards a transactive energy system for integration of distributed energy resources: Home energy management, distributed optimal power flow, and peer-to-peer energy trading," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    7. Wayes Tushar & Tapan K. Saha & Chau Yuen & David Smith & Peta Ashworth & H. Vincent Poor & Subarna Basnet, 2020. "Challenges and prospects for negawatt trading in light of recent technological developments," Nature Energy, Nature, vol. 5(11), pages 834-841, November.
    8. Nizami, Sohrab & Tushar, Wayes & Hossain, M.J. & Yuen, Chau & Saha, Tapan & Poor, H. Vincent, 2022. "Transactive energy for low voltage residential networks: A review," Applied Energy, Elsevier, vol. 323(C).
    9. Davarzani, Sima & Pisica, Ioana & Taylor, Gareth A. & Munisami, Kevin J., 2021. "Residential Demand Response Strategies and Applications in Active Distribution Network Management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    10. Aalami, H.A. & Moghaddam, M. Parsa & Yousefi, G.R., 2010. "Demand response modeling considering Interruptible/Curtailable loads and capacity market programs," Applied Energy, Elsevier, vol. 87(1), pages 243-250, January.
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