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Optimizing Boost Converter and Cascaded Inverter Performance in PV Systems with Hybrid PI-Fuzzy Logic Control

Author(s) Sree Lakshmi Vineetha. B, Muthukumar. P
Country India
Abstract The increasing dependence on renewable energy, especially solar power, faces challenges due to the variability of solar energy and changing load demands. Boost converters are crucial for enhancing energy output in photovoltaic (PV) systems. However, traditional control methods like Proportional-Integral (PI) controllers face challenges in effectively managing the fluctuations in solar energy and load demands. Fuzzy Logic Controllers (FLCs) offer better adaptability, but their integration with PI controllers in PV systems has not been widely explored. This paper proposes a hybrid control strategy that combines PI control with fuzzy logic in a Pulse Width Modulation (PWM) framework to improve the performance of boost converters in PV applications. The proposed solution combines the reliability of PI control with the flexibility of fuzzy logic to enhance voltage regulation, speed up response times, and increase energy efficiency. Small-signal modeling and simulations are used to analyze the system’s performance under varying conditions. Matlab simulation is carried out different conditions to verify the performance of the proposed control strategy under fluctuating solar energy and load demands.
Keywords -
Field Physics
Published In Volume 11, Issue 1, January-March 2020
Published On 2020-01-03
Cite This Optimizing Boost Converter and Cascaded Inverter Performance in PV Systems with Hybrid PI-Fuzzy Logic Control - Sree Lakshmi Vineetha. B, Muthukumar. P - IJSAT Volume 11, Issue 1, January-March 2020. DOI 10.5281/zenodo.14473918
DOI https://doi.org/10.5281/zenodo.14473918
Short DOI https://doi.org/g8vmk9
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