A Fully Automated Solar Tracking System
Bonamsetti Madhu1, Karri Vinay Sudheer2, S. Rajasekhar3
1Bonamsetti Madhu, Department of Electrical and Electronics Engineering, KoneruLakshmaiah Education Foundation, Vaddeswaram, A.P., India.
2Karri VinaySudheer, Department of Electrical and Electronics Engineering, KoneruLakshmaiah Education Foundation, Vaddeswaram, A.P., India.
3S. Rajasekhar, Department of Electrical and Electronics Engineering, KoneruLakshmaiah Education Foundation, Vaddeswaram, A.P., India.
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 4923-4927 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B5139129219/2019©BEIESP | DOI: 10.35940/ijeat.B5139.129219
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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: This is dual axis tracking system, the path of the sun is been tracked by the system is been determined in this procedure. The optimization goal is to increase the amount of generation energy with the help photovoltaic system considering the tracking system consumption. Determination of the tilt angle and azimuth angle trajectories is described as a nonlinear and bounded optimization problem, in future there will be drastic amount of shortage of non-renewable energy resources, we have to replace these resources ,For collection of solar energy we need to improve of efficiency we used sensors (LDR) for tracking of suns path to make sure that the panel should be placed in MPPT- (maximum power point tracking) to observe more efficiency to make sure that the panel should be placed in MPPT point.
Keywords: High altitude wind control (HAWC), Power electronic converter (PEC), and cost of power (COE).