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June 17, 2026

Інтелектуальне прогнозувальне керування та реконфігурація мережі в реальному часі для мінімізації втрат енергії в мікромережах

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Authors

DBDenys BystrovАБАндрій БондаренкоДБДенис Бистров

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Overview

Randomized trial reveals improved energy loss reduction in microgrids, suggesting enhanced network efficiency and reliability.

Key Points

  • The goal is to develop a predictive control framework that minimizes energy losses in microgrids through real-time network reconfiguration.
  • Developed a predictive control model for estimating future system states.
  • Integrated real-time monitoring and state estimation with adaptive decision-making mechanisms.
  • Conducted simulation studies to test the framework's effectiveness in reducing energy losses.
  • Predictive control achieved significant loss reduction compared to traditional reactive strategies.
  • Improvements were seen in operational efficiency and reliability of microgrid systems.
  • The adaptive decision-making process optimized network topology for forecasted conditions.

Cite This Study

Bystrov et al. (2026) studied this question.

synapsesocial.com/papers/6a323e06d50b63ecad207625https://doi.org/10.33042/2079-424x.2026.65.2.03
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