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A two-stage coordination strategy for the control of distributed storage at the household level—Arbitrage between users preferences and distribution grid objectives

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  • Rigo-Mariani, Rémy
  • Debusschere, Vincent

Abstract

This paper focuses on a two-stage coordination strategy for distributed storage systems located at the end-user level. A first day-ahead commitment stage lies on the Alternating Direction Method of Multipliers adapted to a decentralized problem in which the followers and leaders exchange prices (Lagrangian)/quantities information over iterations. Then a three-step coordination is proposed for real-time control to guarantee a fast convergence while trying to remain as close as possible to the profiles scheduled in the look-ahead stage. Specific attention is attached to the end-users’ objective function and their willingness to respond to coordinator signals. A layout of up to 100 households is simulated with the performances assessed regarding the trade-off between loss of revenue and global objective improvements. The impacts of load and solar generation forecasts errors are also investigated along with the effect of storage parameters. Obtained results highlight the need for a trade-off between the targeted objective in the look-ahead phase, and the confidence that it can be fulfilled in real-time.

Suggested Citation

  • Rigo-Mariani, Rémy & Debusschere, Vincent, 2024. "A two-stage coordination strategy for the control of distributed storage at the household level—Arbitrage between users preferences and distribution grid objectives," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 224(PB), pages 111-127.
    • Handle: RePEc:eee:matcom:v:224:y:2024:i:pb:p:111-127
    DOI: 10.1016/j.matcom.2023.08.033
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    References listed on IDEAS

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    1. Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
    2. Klingler, Anna-Lena, 2017. "Self-consumption with PV+Battery systems: A market diffusion model considering individual consumer behaviour and preferences," Applied Energy, Elsevier, vol. 205(C), pages 1560-1570.
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