Abstract

The issues of increasing the efficiency of a hybrid photovoltaic system with a storage battery for a local object by improving energy management by forecasting with simulation of energy processes in the system are considered. It is proposed to combine the functions of ensuring the auxiliary needs of the object with the planned generation of energy to the grid for the day ahead during peak hours. In the absence of generation to the grid in the case of sufficient energy from the photovoltaic and storage batteries, the system operates in an autonomous mode. To reduce energy consumption from the network, it is proposed to switch to work with the grid with predicting the degree of battery charge and correcting the load power when the voltage decreases within acceptable limits. To study the efficiency of energy management according to the forecast, simulation modeling of energy processes in the daily cycle was used. The developed model with a block for predicting the degree of battery charge allows you to investigate the operation of the system under various weather conditions with an estimate of the cost of paying for electricity from the grid at multizone billing. In this case, the archived data of the forecast of the generation of a photovoltaic battery from open web resources were used. The simulation results confirm the efficiency of the proposed solutions and the possibility of reducing costs even in the absence of generation to the grid. The solutions obtained are the basis for the design of software control complexes for photovoltaic systems with batteries with improved energy efficiency

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