The thesis deals with the establishment of a test environment for the implementation of active production, storage, and consumption using a smart home system. The system includes a small-scale solar power plant, a battery storage unit, and electrical consumers. The consumers are selected household appliances that represent major consumers in households and are therefore the subject of consideration. The consumers have built-in connectivity with the smart grid, allowing for active consumption management. Connectivity and integration are provided by the open-source Home Assistant system, which integrates all parts of the smart home. The air conditioning unit, which is part of the system, contains an ESP8266 communication module with ESPhome software installed, ensuring temperature control and operation of the air conditioning unit. At the same time, it returns room temperature data to the home automation system. The purpose of such a system is to optimize production, consumption, charging, and storage of energy. The system represents an alternative to existing household self-sufficient power systems. The advantages of such a system are lower grid loads and higher energy utilization at the production site.
It describes the planning and setup of the system, its operation, and the connection of the system into a functioning whole. The system also includes a battery storage unit to ensure the highest possible self-sufficiency with electrical energy. The principles of integrating the system into the smart home and automating consumers, as well as production forecasting for consumption optimization, are presented. Methods of managing the solar power plant inverter for changing operation and switching battery charging and discharging are presented.
The goal is to establish a system within the smart home framework that will allow for further development of the system, which will be automated and will provide automatic switching and decisions on when to use which source of electrical energy to power the household. This will ensure the highest possible level of self-sufficiency, and when this is not possible due to a lack of solar energy, it will compensate for the shortfall from the grid. Currently, system switches are performed manually based on data provided by the home automation system.
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