AI based MPPT Controller for Solar PV System
P. Rajasekeran1, G. Ezhilarasan2, Shaheen P. C3, Sahal C. V4, Ganesh. M5
1P. Rajasekeran, Associate Professor, Department of EEE, Aarupadai Veedu Institute of Technology, Chennai (Tamil Nadu), India.
2Dr. G. Ezhilarasan, Professor, Department of EEE, Aarupadai Veedu Institute of Technology, Chennai (Tamil Nadu), India.
3Shaheen P. C, Department of EEE, Aarupadai Veedu Institute of Technology, Chennai (Tamil Nadu), India.
4Sahal C. V, Department of EEE, Aarupadai Veedu Institute of Technology, Chennai (Tamil Nadu), India.
5Ganesh. M, UG, Students, Department of EEE, Aarupadai Veedu Institute of Technology, Chennai (Tamil Nadu), India.
Manuscript received on 13 November 2019 | Revised Manuscript received on 21 December 2019 | Manuscript Published on 31 December 2019 | PP: 592-595 | Volume-9 Issue-2S4 December 2019 | Retrieval Number: B11871292S419/2019©BEIESP | DOI: 10.35940/ijitee.B1187.1292S419
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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 article discusses Artificial intelligence based Maximum Power Point Tracking (MPPT) for solar Photo-voltaics based system. MPPT is used to improve the efficiency as well as to raise the output through the photovoltaic system through continuous tracking of MPP. The work demands the use of fuzzy logic control technology; hence the PV-cell is interfaced with a DC step-up converter connected with a dc load. Boost converters convert the output of low voltage DC to output of high voltage DC. Following taken through the solar panel are thermal factor like temperature and isolation. The validation of the proposed controller is also discussed.
Keywords: Fuzzy Logic Controller, PV-cell, Solar Tracking Maximum Power, Step-up Converter.
Scope of the Article: Fuzzy Logics