Adaptive neuro-fuzzy approach for maximum power point tracking with high gain converter for photo voltaic applications
Journal: International Journal of Advanced Technology and Engineering Exploration (IJATEE) (Vol.9, No. 93)Publication Date: 2022-08-30
Authors : S. Narthana P. Muthu Thiruvengadam; J. Gnanavadivel;
Page : 1168-1182
Keywords : Maximumpower point tracking (MPPT); High gain DC-DC converter; Perturb and observe (P&O) and Fuzzy logic controller (FLC); Adaptive neuro-fuzzy inference system (ANFIS).;
Abstract
Energy is essential for improving the management of the power systems. One of the major concerns in the power sector is increasing demand of power that tends to increase the demand for fossil fuels causing environmental problems. Thus, it is essential to use variable renewable energies for direct current (DC) micro grid applications. Solar photovoltaic (PV) is one of the phenomena where the solar irradiance is converted to electrical power through solar cell. A new high gain converter is implemented which is fed from solar PV to track the maximum voltage and power so as to elevate the output efficiency of the PV panel. The envisioned converter can be effectively worked in continuous conduction mode (CCM) with same gating pulse for the two switches that guarantees wide plying range. The preferred converter comprises least number of components and achieves a maximum gain of 25 for the switch on period of 0.8 which makes the control circuit simpler compared to other non-coupled inductor topologies. Presently, special maximum power point tracking (MPPT) procedures have been acquainted to track the maximum power point (MPP) viably of which adaptive neuro fuzzy inference system (ANFIS) based controller is used in this article and high efficiency of about 98.96% is attained with a good dynamic response. Over here, the potency of the system is endorsed by means of MATLAB/SIMULINK and compared with the other standard MPPT methods. Further, functioning and assessment of the conspired work are inspected carefully and verified effectively.
Other Latest Articles
- A self adaptive cognitive deep learning framework for classifying graphology features to Big five personality traits
- Forecasting non-linear macroeconomic indexes of India: an ensemble of MLP and Holt’s linear methods
- Entropy for item inclination in sub-community based recommender system
- Strategic report on MEMS based carbon monoxide sensor technology for environmental air quality monitoring using unmanned aerial vehicle
- Analysis of subthreshold swing in junctionless cylindrical surrounding gate MOSFET using Gaussian doping profile
Last modified: 2022-10-04 17:22:24