Abstract

Purpose. The purpose of this article is to study the role of "Green energy" in the concept of generation distribution, to analyze the contribution of renewable sources to the stability of energy. The main tasks include improving models of electric photo panels and wind generators to achieve environmental and economic efficiency. Methodology. Mathematical modeling of photovoltaic panels and wind generators, analysis of the effect of the precision factor and the efficiency factor of the inverter on power generation. A comparative analysis of the obtained results with real data is used to validate the models. The aerodynamic characteristics of the wind generator and the influence on the output power are studied. An optimized model for forecasting the efficiency of hybrid systems using green technologies is being developed. Findings. The obtained research results reveal the key contribution of "Green Energy" to the concept of distributed generation. The methods of mathematical model panels and the use of photovoltaic generators, together with the application of the current coefficient and taking into account the efficiency of the inverter, made it possible to increase the accuracy of forecasting electricity generation. The developed model takes into account the aerodynamic characteristics of the wind generator, emphasizing the realized possibility of exceeding the nominal power in accordance with the real characteristics. The obtained results are compared with real data for validation and confirmation of the effectiveness of the system. Originality. It consists in improving the model of photovoltaic panels, taking into account the influence of the inverter and the aerodynamic features of the wind generator. The work found that the largest generation of wind generators on earth is from October to February, indicating the advantage of combining solar and wind energy. Practical value. It consists in optimizing the forecasting of electricity generation in hybrid systems, which determined the increase in accuracy and adaptability to real conditions. Your study represents the potential for the development of "Green Energy" in communities with a large area and medium capacity.

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