Abstract
This research article presents a novel fuzzy-assisted nonlinear proportional-integral (f-NPI) controller based optimal power generation method for a 100 kW grid-connected solar photovoltaic (SPV) system with boost converter topology. The primary objective is to optimise power generation when variations in irradiance and temperature are experienced. f-PI and novel f-NPI based PV array reference current predictor is implemented to adjust the duty cycle for the converter. The gain parameters of controllers are being fairly tuned using teaching-learning based optimisation (TLBO) technique. A comprehensive simulation analysis is carried out using MATLAB R2017a, which verifies that the utilisation of primitive parameters, i.e., irradiance and temperature for the proposed controller exhibits enhanced performance in comparison to extant P&O and fuzzy logic controller (using secondary/conventional parameters like voltage and current) in terms of settling time, efficiency and THD. Moreover, the operation of the novel f-NPI based method is found to comply with IEEE 929 standard.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Renewable Energy Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
