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All Journal International Journal of Advances in Applied Sciences
Kumar, Kotha Kalyan
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Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Mathematics Physics

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Intelligent control strategies for grid-connected photovoltaic wind hybrid energy systems using ANFIS Babu, Thiruveedula Madhu; Chenchireddy, Kalagotla; Kumar, Kotha Kalyan; Nehal, Vasukul; Srihitha, Sappidi; Vikas, Marikal Ram
International Journal of Advances in Applied Sciences Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i3.pp497-506

Abstract

This study proposes intelligent control strategies for optimizing the grid integration of photovoltaic (PV) and wind energy in hybrid systems using an adaptive neuro-fuzzy inference system (ANFIS). The ANFIS control aims to enhance grid stability, improve power management, and maximize renewable energy (RE) utilization. The hybrid system's performance is evaluated through simulations, considering various environmental conditions and load demands. Results demonstrate the effectiveness of the proposed ANFIS-based control in dynamically adjusting the power output from PV and wind sources, ensuring efficient grid-connected operation. The findings underscore the potential of intelligent control strategies to contribute to the reliable and sustainable integration of RE into the grid.
Co-Authors Babu, Thiruveedula Madhu Chenchireddy, Kalagotla Nehal, Vasukul Srihitha, Sappidi Vikas, Marikal Ram