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September 10, 2025Scientific ReportsOpen Access

A novel data-driven NLMPC strategy for techno-economic microgrid management with battery energy storage under uncertainty

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Authors

EYElnaz YaghoubiEYElaheh YaghoubiMJMehdi Zareian Jahromi

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Overview

This framework optimizes microgrid operation with energy storage, demonstrating cost savings and stability improvements.

Key Points

  • The NLMPC framework achieves a 39.2% reduction in costs compared to conventional methods, highlighting its efficiency.
  • Utilizing Monte Carlo simulations allows robust handling of renewable energy uncertainties, crucial for microgrid stability.
  • Gaussian Process Regression models the behavior of energy storage systems, improving predictive accuracy and management.
  • Integrating distributed generation and energy storage systems, the framework ensures optimal power flow despite variable conditions.

Cite This Study

Yaghoubi et al. (2025) studied this question.

synapsesocial.com/papers/68c1a77254b1d3bfb60e06b2https://doi.org/10.1038/s41598-025-13906-3
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