This master's thesis deals with the issue of optimizing the utilization of a battery energy storage system in connection with a solar power plant and the electrical network with the aim of maximizing the economic benefit. For this purpose, a linear optimization model of the described system was developed. In the model, the stock market prices from the day-ahead market and the forecast of electricity production from the solar power plant are taken into account as input time-dependent variables. The new network tariff costs are also taken into account.
The results of the retrospective analysis confirm that by properly managing the energy flows in the described system, we can increase revenue. The influence of the selected connection power for the consumption of electricity and the determination of the declared power of the network tariff blocks on the additional income realized with the battery is also shown.
The solution for optimizing the management of the battery storage was integrated into an application that runs on an internal server and sends commands for the desired operating state of the system to the programmable logic controller of the power plant.
The adequacy of the solution was confirmed initially by automatically switching off the solar power plant at negative electricity prices and later by using it with a battery. Despite the limited operating data due to technical and weather constraints, the results show the effectiveness of the solution with the possibility of further improvements.
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