Distributed energy generation and RES

The research area focuses on conducting fundamental and applied research and development activities aimed at improving the efficiency of renewable energy utilization and advancing intelligent distributed generation systems.

The research activities include the development of methods and technologies for integrating distributed energy resources into modern power systems, including solar and wind power plants, energy storage systems, local energy complexes, and smart grids. Particular attention is given to improving the reliability, efficiency, and controllability of energy facilities while considering the variable nature of renewable energy generation.

One of the key research directions is the development of mathematical models and software solutions for analyzing the operating modes of distributed energy systems, forecasting energy generation, optimizing power flows, and managing interactions between different generation sources. The application of digital modeling, artificial intelligence, and data analytics methods enables more efficient operation of renewable energy facilities.

The research includes the development of microgrid control algorithms, methods for forecasting electricity generation from renewable sources, technologies for integrating energy storage systems, and intelligent monitoring solutions for distributed energy facilities.

The obtained results contribute to the development of digital and low-carbon energy systems, improving the efficiency of renewable energy utilization, ensuring the resilience of power systems, and creating new solutions for the transition toward intelligent distributed energy complexes.