Purpose. To ensure the energy security of Ukraine.
Application area. Energy and energy efficiency.
Advantages. There are no analogues in Ukraine.
Description. Imital power control models of an energy system based on wind generators and solar batteries based on hierarchical color networks Petri among the CPN Tools; Architecture of the intellectual control system for components of the autonomous hybrid system. The architecture of a neural network was investigated and developed to control an energy system based on solar batteries in the algorithm for searching for a maximum power point. The architecture of the LSTM neural network was studied and developed to control the components of the hybrid energy system (photovoltaic panels, wind generator). The operating modes of the energy module on solar panels and the energy module based on a wind generator for teaching neural networks like LSTM are determined. Developed software of the control system based on neural networks of energy control systems based on the technology for searching for a maximum power point and neural networks of the LSTM type. The most effective multi-criteria genetic algorithms for distribution tasks (Spea, NSGA2, E-MOEA) have been determined. On their basis, the components of the software for managing the distribution of resources in an autonomous hybrid energy system were developed.