Development of AI agents for cellular energy systems to increase flexibilities provided by sector coupling and distributed storage

Abstract

The rise in small-scale power production and high-energy consumers is straining the power grid, especially during peak hours. Addressing this challenge requires both infrastructure upgrades and innovative control strategies. This work introduces a modular architecture for integrating various Power-to-X (P2X) technologies, offering a universal, adaptive control solution. By employing an architecture for integrating several AI agents for optimization problems, we are able to provide different optimization mechanisms with their respective advantages or disadvantages. The proposed system optimizes the available flexibilities through different P2X technologies and aims to enhance the use of renewable energies within the energy cells.