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Residential Demand Response Strategies and Applications in Active Distribution Network Management

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  • Davarzani, Sima
  • Pisica, Ioana
  • Taylor, Gareth A.
  • Munisami, Kevin J.

Abstract

Electricity distribution is moving towards active, more flexible, smarter and decentralized energy systems. This transition requires System Operators (SO) to dynamically monitor and control the power flow across the network. Demand Response (DR) can be considered as an alternative solution to the costly investment of upgrading conventional Distribution Networks (DN). Hence, the role of DR as a considerable potential of elastic demands in the Active Distribution Network Management (ADNM) is vital. The aim of this paper is to review the recent literature and pilot implementations towards residential DR activation and applications at the electricity distribution level. Background concepts, DR programmes and key participants in ADNM are explained. DR activation strategies for residential demand responsiveness at the network level are categorized and discussed together with the challenges and future directions of this technology. The most relevant DR innovation trials in Great Britain (GB) and their outcomes are also discussed.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:rensus:v:138:y:2021:i:c:s1364032120308510
    DOI: 10.1016/j.rser.2020.110567
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    2. Rene Prenc & Michele Rojnić & Dubravko Franković & Saša Vlahinić, 2022. "On the Development of Overcurrent Relay Optimization Problem for Active Distribution Networks," Energies, MDPI, vol. 15(18), pages 1-28, September.
    3. Irina I. Picioroaga & Andrei M. Tudose & Dorian O. Sidea & Constantin Bulac, 2022. "Supply Restoration in Active Distribution Networks Based on Soft Open Points with Embedded DC Microgrids," Mathematics, MDPI, vol. 10(2), pages 1-21, January.
    4. Cai, Qiran & Xu, Qingyang & Qing, Jing & Shi, Gang & Liang, Qiao-Mei, 2022. "Promoting wind and photovoltaics renewable energy integration through demand response: Dynamic pricing mechanism design and economic analysis for smart residential communities," Energy, Elsevier, vol. 261(PB).
    5. Wang, Chong & Ju, Ping & Wu, Feng & Pan, Xueping & Wang, Zhaoyu, 2022. "A systematic review on power system resilience from the perspective of generation, network, and load," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    6. Liu, Zhengguang & Guo, Zhiling & Chen, Qi & Song, Chenchen & Shang, Wenlong & Yuan, Meng & Zhang, Haoran, 2023. "A review of data-driven smart building-integrated photovoltaic systems: Challenges and objectives," Energy, Elsevier, vol. 263(PE).
    7. Jun Dong & Dongran Liu & Xihao Dou & Bo Li & Shiyao Lv & Yuzheng Jiang & Tongtao Ma, 2021. "Key Issues and Technical Applications in the Study of Power Markets as the System Adapts to the New Power System in China," Sustainability, MDPI, vol. 13(23), pages 1-29, December.
    8. Golmohamadi, Hessam, 2022. "Demand-side management in industrial sector: A review of heavy industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).

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