Experimental Verification of MPPT Algorithms for Photovoltaic Systems
Sachin Angadi1, Divya C. Badiger2, Uday Kumar R. Yaragatti3, A. B. Raju4
1Sachin Angadi, Assistant Professor, Department of Electrical & Electronics Engineering, KLE Technological University, Hubballi (Karnataka), India.
2Divya Chandrashekhar Badiger, Department of Electrical and Electronics Engineering, KLE Technological University, Hubballi (Karnataka), India.
3Uday Kumar R. Yaragatti, Lecturer, Department of Electrical and Electronics Engineering, NITK Surathkal (Karnataka), India.
3Sri A. B. Raju, Professor and Head, Department of Electrical and Electronics Engineering, BVB College of Engineering and Technology Campus, KLE Technological University, Hubballi (Karnataka), India.
Manuscript received on 24 February 2020 | Revised Manuscript received on 10 March 2020 | Manuscript Published on 18 March 2020 | PP: 124-129 | Volume-8 Issue-6S March 2020 | Retrieval Number: F10190386S20/2020©BEIESP | DOI: 10.35940/ijrte.F1019.0386S20
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Changing meteorological conditions influence the output power of the Photovolataic systems, which affect the overall performance of the system, in turn reduces the overall efficiency. So, to draw maximal power from the PV system a technique called maximum power point tracking (MPPT) is incorporated. Two perturbations-based algorithms are presented in this paper are Perturb and Observe (P&O), and Modified drift-free perturb and observe (MP&O). Fixed step size duty ratio is used in both of these algorithms. The boost converter is used between the photovoltaic module and the resistive Load. The simulation and experimental results for 250W PV module are presented. The simulation studies are carried out in MATLAB SIMULINK. The algorithms are implemented using TMS320F28069M.
Keywords: Boost Converter, Duty Ratio, Maximum Power Point Tracking, Perturb and Observe, Modified drift-free Perturb and Observe.
Scope of the Article: Web Algorithms