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Power ramp-rate control algorithm with optimal State of Charge reference via Dynamic Programming

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  • Duchaud, Jean-Laurent
  • Notton, Gilles
  • Darras, Christophe
  • Voyant, Cyril

Abstract

This article presents a new control algorithm for an Intermittent Renewable Energy Systems coupled with an Energy Storage System (ESS) connected to a load and to the grid. It aims to limit grid power ramp-rate, to optimize energy trading and to manage the ESS State of Charge (SoC) under several constraints. The strategy uses a ramp-rate limiter algorithm with a SoC feedback control. The controller reference is optimized with a Dynamic Programming algorithm using weather and consumption predictions. Every 2 h, the optimization is refreshed with the actual SoC and new predictions. The algorithm is applied on real data measured in Ajaccio and shows a light improvement in the plant operation cost and ensures that the ESS is not depleted at the end of the day.

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  • Duchaud, Jean-Laurent & Notton, Gilles & Darras, Christophe & Voyant, Cyril, 2018. "Power ramp-rate control algorithm with optimal State of Charge reference via Dynamic Programming," Energy, Elsevier, vol. 149(C), pages 709-717.
    • Handle: RePEc:eee:energy:v:149:y:2018:i:c:p:709-717
    DOI: 10.1016/j.energy.2018.02.064
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    Cited by:

    1. Duchaud, Jean-Laurent & Notton, Gilles & Fouilloy, Alexis & Voyant, Cyril, 2019. "Hybrid renewable power plant sizing – Graphical decision tool, sensitivity analysis and applications in Ajaccio and Tilos," Applied Energy, Elsevier, vol. 254(C).
    2. Elkholy, M.H. & Metwally, Hamid & Farahat, M.A. & Senjyu, Tomonobu & Elsayed Lotfy, Mohammed, 2022. "Smart centralized energy management system for autonomous microgrid using FPGA," Applied Energy, Elsevier, vol. 317(C).
    3. Huo, Yujia & Gruosso, Giambattista, 2020. "A novel ramp-rate control of grid-tied PV-Battery systems to reduce required battery capacity," Energy, Elsevier, vol. 210(C).

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