In recent years, due to rising energy prices and an increasing desire to reduce environmental
pollution, interest in building self-sufficient electricity systems from renewable sources has
grown. Solar power plants are becoming a key technology in the transition to a low-carbon
society, as they enable local electricity production and reduce dependence on the grid. Their
efficiency is further enhanced by the use of energy storage systems and advanced consumption
management, allowing stable operation even under unfavourable weather conditions.
As part of this thesis, such a system was developed and implemented, tailored for operation in
a real household environment. The thesis presents a comprehensive self-supply electricity
system, which includes a solar power plant with a maximum output of approximately 17 kW, a
Deye hybrid inverter connected to a 25 kWh battery storage unit, and a heating management
system. The system is designed to enable efficient use of renewable energy while maintaining
safety redundancy through the existing oil-based heating system, ensuring energy selfsufficiency
even during the lowest solar irradiation periods in winter.
The heating system is controlled by a Siemens LOGO! controller, which manages the operation
of the heat pump and hot water tank (boiler) using four three-way solenoid valves, a mixing
valve for underfloor heating, and three water pumps circulating water throughout the system. It
also includes weather forecasting using an ESP32 microcontroller, which enables the battery
charging and energy use to be adjusted based on the predicted sunlight for the following day.
Data communication between the Deye inverter and the rest of the system takes place via the
Modbus RTU protocol using the USR-DR134 interface, enabling reliable and scalable
integration of all components. The conclusion of the thesis also discusses an energy use
optimization strategy based on prioritization of loads, storage, and efficient control.
The system was designed, implemented, and tested under real conditions, with results
demonstrating a high level of efficiency, reliability, and potential for system upgrades toward
smart home integration and improved energy flexibility.
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