Maximum Power Point Tracking with Artificial Neural Network
Divyansh Mathur
Mr. Divyansh Mathur, 14/1 Civil Lines, Kanpur, Uttar Pradesh, India.
Manuscript received on January 11, 2014. | Revised Manuscript received on January 15, 2014. | Manuscript published on January 25, 2014. | PP:38-42 | Volume-2 Issue-3, January 2014. | Retrieval Number: C0641012314/2014©BEIESP
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© The Authors. Published By: 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: Fossil fuels’ rapid depletion andneed to protect the environmenthas left us to thinkupon alternatives and solutions to curb the excess use of conventional sources and shift focus on the renewable energy. As final year project, my inspiration was[1], and through it I’vetried my best to designa prototypemodel inclusive of techniques that support the need to harness the solar energy.
Keywords: Maximum Power Point, Buck-Boost Converter, Neural Network Architecture