Emerging maximum power point control algorithms for PV system: review, challenges and future trends
摘要
The maximum power point tracking (MPPT) algorithms are essential for ensuring optimal energy conversion and efficient power transfer between the photovoltaic (PV) system and the load. This paper provides a comprehensive review of emerging MPPT algorithms for PV systems under different weather conditions, with a focus on their challenges and future trends. The review covers various types of converters, inverters, MPPT techniques including traditional, optimization, and artificial intelligence (AI)-based control strategies used in PV systems. The converters play a crucial role in converting the DC power generated by the PV panels into usable power that can be consumed by different loads. The paper highlights the working principle, limitations, challenges, and comparison of these techniques to choose most suitable algorithm for a specific application. Furthermore, the review discusses the future trends and enhancement in MPPT algorithms, such as the use of AI and optimization techniques to improve the performance and efficiency of PV systems. Overall, this paper provides valuable perspectives into the current state of MPPT algorithms for PV systems and the potential avenues for future research in this field.