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May 7, 2026ElectricityOpen Access

Plug-and-Play Planning and Operation of N Grid-Connected Microgrids Under Uncertainty: A Data-Driven Optimization Framework Using Open French Load Profiles

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Authors

SKStefanos KeskinisCECostas Elmasides

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Overview

This framework enhances microgrid integration and operational efficiency in distribution networks, suggesting improved hosting capacity.

Key Points

  • To develop a data-driven optimization framework for planning and operating grid-connected microgrids under uncertainty.
  • Employ real, open-access hourly load data from France for microgrid modeling.
  • Use a scenario-based stochastic modeling approach to incorporate load variability.
  • Formulate plug-and-play integration rules to assess feasibility of additional microgrids.
  • Demonstrated that coordinated planning improves performance at the point of common coupling (PCC).
  • Reduced operational stress on the distribution network.
  • Quantified feeder hosting capacity for safe integration of microgrids.

Cite This Study

Keskinis et al. (2026) studied this question.

synapsesocial.com/papers/69fbe2f2164b5133a91a2505https://doi.org/10.3390/electricity7020041
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