Tytuł pozycji:
Increasing the efficiency of a hybrid photoelectric system of a local object with a storage battery using forecast
The implementation of a photovoltaic system with a storage battery to meet the needs of a local object and the ability to generate energy into the grid during peak hours is considered. The principles of implementation of the planned generation of energy into the grid during peak hours with a decrease in electricity consumption from the grid have been substantiated. In this case, the setting of the SB degree charge is carried out according to the forecast of the generation of the photovoltaic battery for the next day with a preliminary estimate of the generation power to the grid. The updated value of the generation power to the grid is determined according to the forecast data by the beginning of the morning peak, taking into account the actual generation power of the photovoltaic battery. Subsequently, at the intervals of discreteness of the forecast, the value of the generation power into the grid is corrected taking into account the actual generation power of the photovoltaic battery, the load and the degree of storage battery charge. The storage battery charge mode is set taking into account the forecast data at the end of the morning peak. The corresponding algorithm of the system functioning was developed. Simulation of energy processes in the system for a daily cycle of operation with an estimation of the cost of paying for electricity has been carried out. In this case, the archived weather data were used. It is shown that with the adopted system parameters, this solution allows providing the power generation to the grid in the evening peak of 19% to the load power, and in the morning peak up to 200%. Reducing the cost of payment consumed by a local object from the electricity grid is at one tariff rate in the summer period from 1.6 times to 14 times, in winter from 1.1 to 1.55.
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
