Abstract
The conductance of solar cell was nonlinearly with various atmospheric changes, which had resulted in false MPP. To overcome this problem, the proposed system is educated with the neural network. Although incremental conductance can grant marginally better overall performance in case of rapidly various atmospheric conditions, the accelerated complexity of the algorithm will require larger steeply priced hardware and therefore can also have an advantage over MPPT solely in massive PV arrays. The shortcoming of the fuzzy logic approach is lack of expertise of the obligation cycle variation, which results in suited accuracy level with terrible dynamic characteristics. To overcome the problem, PWM technique is applied, and the corresponding duty cycle is varied to trigger the inverter.
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Ravi Kishore, D., Vijay Muni, T., Srikanth, K.S. (2020). A Novel Power Electronic-Based Maximum Power Point Tracking Technique for Solar PV Applications. In: Siano, P., Jamuna, K. (eds) Advances in Smart Grid Technology. Lecture Notes in Electrical Engineering, vol 687. Springer, Singapore. https://doi.org/10.1007/978-981-15-7245-6_10
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