Power optimization in photovoltaic systems by integrating bio-inspired algorithms in a charge controller: a review
DOI:
https://doi.org/10.56294/saludcyt20251615Keywords:
photovoltaic energy, dc/dc converter, AI, genetic algorithmAbstract
Photovoltaics is not only presented as a viable response to the global energy crisis, but also as a fundamental tool to mitigate the negative impacts of climate change. However, the efficiency of photovoltaic systems is often compromised by factors such as climate variability, shading, and the intrinsic complexity of solar cells. In this context, the implementation of bio-inspired algorithms in the charge controller stands as an innovative and promising approach to optimize the power generated by solar panels, thus maximizing the overall performance of the system.
The convergence between engineering and nature represents a fascinating path towards efficiency in solar energy generation. By incorporating bio-inspired algorithms into the charge controller of a photovoltaic system, we not only advance power optimization, but also open the door to new perspectives for research in renewable energy. Therefore, this research not only contributes to current knowledge in the field of photovoltaics, but also invites us to continue exploring the infinite possibilities offered by the integration of biological principles in engineering for the benefit of a sustainable future.
The results obtained not only validated the effectiveness of these approaches in power optimization, but also revealed a significant improvement in the stability and adaptability of the system under changing conditions.
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