Scientists of the Kazakh National University named after al-Farabi are developing a hybrid wind-solar energy system.

In the context of the growing global energy demand and increasing environmental requirements, the development of renewable energy sources has become one of the key directions of scientific research. At the Kazakh National University named after al-Farabi, a scientific program is being implemented to develop a hybrid wind-solar energy system aimed at improving electricity generation efficiency and ensuring stable energy supply for small settlements.

The modern stage of energy development is characterized by a gradual transition to environmentally friendly technologies. Despite the significant potential of renewable energy sources in Kazakhstan, their practical implementation remains limited. This is associated with regional climatic features, high initial investment costs, and insufficient development of intelligent energy management systems. The research conducted by university scientists is focused on solving these challenges.

The main idea of the project is the development of a hybrid energy system combining solar and wind power generation. Special attention is given to improving the efficiency of photovoltaic panels by optimizing maximum power point tracking algorithms. For this purpose, new metaheuristic and hybrid control algorithms are being developed, which allow rapid detection of the global maximum power point even under partial shading conditions.

Within the project, a prototype of a vertical-axis carousel-type wind turbine is also being developed. Such designs are characterized by simple operation and can function effectively under turbulent airflow conditions. In addition, it is planned to introduce a blade anti-icing protection system, which is especially important for operating equipment in cold climatic environments.

An important direction of the research is the application of artificial intelligence technologies. Based on neural networks, a model for predicting electricity generation of the hybrid system is being created. The use of intelligent algorithms enables both short-term and long-term forecasting of power generation depending on weather conditions. To collect data, a distributed wireless sensor network is used, measuring air temperature, pressure, humidity, wind speed and direction, as well as solar radiation intensity.

The developed system is intended to be integrated with Smart Grid and Micro Grid concepts. This will ensure efficient energy distribution among consumers, improve the stability of the power network, and reduce electricity losses. The use of intelligent monitoring will provide automatic control of hybrid station operating modes.

The project is expected to achieve several significant scientific and technological results. An experimental prototype of a modular vertical-axis wind turbine will be created. New control algorithms for photovoltaic systems will also be developed to accelerate the search for the optimal operating point. In addition, an artificial neural network model for energy generation forecasting will be developed.

The scientific significance of the project lies in studying the relationship between climatic conditions, energy system structure, and power generation efficiency. The obtained results will expand knowledge in the field of renewable energy and materials for future energy systems.

The practical significance of the development is associated with reducing electricity costs, improving energy supply reliability, and attracting investment into the green energy sector. The application of hybrid systems will help ensure stable electricity supply to remote regions and strengthen the country’s energy security.

The research program is conducted in accordance with international scientific standards. The results of the work will be published in peer-reviewed scientific journals and presented at international conferences. Special attention is given to training young scientific personnel, as doctoral, master’s, and undergraduate students are involved in the project.

Thus, the development of a hybrid wind-solar energy system with intelligent control represents an important contribution to sustainable energy development. The research is aimed at improving energy efficiency, reducing environmental impact, and creating a technological foundation for future energy systems.