Abstract
The capacity to reap the highest output power in various environmental conditions is one of the most critical tasks in the application of photovoltaic (PV) systems. Although many cutting-edge methods have been developed to accomplish this, the majority of methods have significant drawbacks, for instance, poor tracking capabilities and heavy computational load. Therefore, the aim of this work is to present a control algorithm that takes into account the connection between the solar array output power and the controller's PWM duty cycle of the MPPT boost converter. The proposed customized CNN is implemented in MATLAB/SIMULINK and compared with well known for its performance. The findings demonstrate an increase in the PV system's ability to generate power in any weather, as well as a reduction in the effects of rapid changes in solar irradiation on output power.
Publisher
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Subject
Computer Science Applications,General Engineering,Environmental Engineering
Reference21 articles.
1. Li D, Li J and Wang N (2021) "A Novel Technique Based on Peafowl Optimization Algorithm for Maximum Power Point Tracking of PV SystemsUnder Partial Shading Condition". Front. Energy Res. 9:801571. doi: 10.3389/fenrg.2021.801571 [CrossRef]
2. Hiren Patel & Vivek Agarwal. "Matlab-based modeling to study the effects of partial shading on pv array characteristics". Energy Conversion, IEEE Transactions on, vol. 23, no. 1, pp. 302-310, 2008. [CrossRef]
3. M. Irwanto et al., "Analysis simulation of the photovoltaic output performance", Power Engineering and Optimization Conference (PEOCO) 2014 IEEE 8th International, pp. 477-481, 2014. [CrossRef]
4. Faranda, Roberto & Leva, S, "Energy comparison of MPPT techniques for PV Systems". J. Electromagn. Anal. Appl.2008.
5. Geoff Walker. "Evaluating mppt converter topologies using a matlab pv model". Journal of Electrical & Electronics Engineering, Vol.21, issue 1, pp.49-56, 2001.