Cited by 88Smart Grid Energy ManagementMicrogrid Control and OptimizationIntegrated Energy Systems Optimization

Energy scheduling of a smart microgrid with shared photovoltaic panels and storage: The case of the Ballen marina in Samsø

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Carli, Raffaele, Dotoli, Mariagrazia, Jantzen, Jan, Kristensen, Michael, Ben Othman, Sarah·2020·Energy

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Crossref · 10.1016/j.energy.2020.117188

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  • MPC for ES control enables multiple objectives and constraints to be handled explicitly and allows the ES schedule to be tailored to improve voltage profiles, reduce losses, and respect both device and network limits.

    “This enables multiple objectives and constraints to be handled explicitly and allows the ES schedule to be tailored to improve voltage profiles, reduce losses, and respect both device and network limits [86][87][88][89].”

    From Voltage Regulation in Rooftop PV-Rich Distribution Networks: A Review and Detailed Case Study (2026) · cites this paper as [86]

    The paper’s MPC energy-scheduling passage (section and page unavailable in our copy) describes optimizing battery charging, controllable loads, and grid exchange to increase solar self-supply or reduce energy costs. It supports explicit scheduling objectives, but the available passages do not address improved voltage profiles, reduced network losses, or network limits. (LLM, conf=0.84)

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Authors
Carli, R., Dotoli, M., Jantzen, J., Kristensen, M., & Ben Othman, S.
Affiliations
  • Polytechnic University of Bari (IT)
  • Samsø Energy Academy (DK)
Corresponding author
Carli, Raffaele
Venue
Energy
Publisher
Elsevier BV
Published
2020-05
Volume
198
Pages
117188
ISSN
0360-5442 (ISSN-L)
OpenAlex
W3006824955
Cited by
88
References
0
Citations by year
2026: 6 · 2025: 7 · 2024: 9 · 2023: 10 · 2022: 15 · 2021: 24 · 2020: 17
FWCI
5.67
Type
journal article
Language
en
Open access
Locations
  • Energy (publishedVersion)
  • HAL (submittedVersion, other-oa)
  • RePEc: Research Papers in Economics (submittedVersion)
  • LillOA (Université de Lille (University Of Lille)) (submittedVersion, other-oa)
Funders
Horizon 2020
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
  • Physical Sciences › Engineering › Control and Systems Engineering › Microgrid Control and Optimization
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
Keywords
smart microgrids, energy scheduling, model predictive control, demand-side management, battery energy storage, photovoltaic modules, flexible loads, mixed-integer linear programming, self-consumption, grid energy exchange, marinas, SAM, SMILE project

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