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The increasing demand for electricity necessitates the expansion of power generation, prompting the integration of both renewable and nonrenewable bases into the electricity grid. However, the variability inherent in renewable sources complicates the design of power flow systems. To address this challenge, a hybrid architecture combining photovoltaic (PV) panels, fuel cells, wind turbines, and a battery energy storage system (BESS) is proposed. This study explores the integration of various converters and control methodologies to efficiently integrate the hybrid renewable energy system with the utility grid. In this PV system, an extremely high gain (single-ended primary-inductance converter) SEPIC converter is employed. Maximum power is extracted from PV utilizing clever Cascaded (Artificial Neural Network) ANN (Maximum Power Point Tracking) MPPT, which also maintains a steady DC link voltage. This proposed design achieves optimum and effectual management of the various sources, assuring superior power excellence for the AC grid, controlling both the power equal and frequency of the AC grid. The findings obtained using simulation software MATLAB show that the recommended technique preserves a sustainable environment with increased efficiency and low harmonics. The comparison graph shows the proposed converter efficiency value as 91.2% and the THD value as 1.06%
Chitra et al. (Wed,) studied this question.
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