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SIMULATION AND ANALYSIS OF A HYBRID PHOTOVOLTAIC SYSTEM FOR POWERING ELECTRIC VEHICLE CHARGING STATIONS
Abstract
Hybrid energy systems are a fundamental component of the future of energy resources. They are applicable across various sectors of industry and daily life. This study examines the integration of a photovoltaic system within a smart grid of charging stations for electric vehicles. The hybrid system consists of solar panels, inverters and an injection point. By simulating solar panels in simulator and analysis, the generated power over time is assessed based on solar irradiation data for a specific geographical location. The obtained results allow to plan a battery charging schedule, to distribute the generated energy when electric vehicles (EVs) are available for charging, and to predict a scheduled charging session. The simulation environment allows to select an orientation angle for the direction to the irradiation of the solar panels, which is calculated depending on the location coordinates, the power and number of solar panels and other parameters. The analysis presents gaps and challenges for the design of hybrid systems, deriving loss data and estimating the achieved energy efficiency of the solar panel type. In addition to spectral correction and system losses, the Incidence Angle Modifier (IAM) loss factor is also taken into account, which is a parameter to account for additional system losses that are not explicitly modelled in the software. The IAM loss factor is used as a general correction factor to adjust the energy output of the photovoltaic (PV) system. The simulation works with data from the previous year or several years and based on training, the generated power for future days can be predicted.
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