Modelling and Design of Five Parameter Single Diode Photovoltaic Model with Artificial Intelligent MPPT Power System
A. Chandramouli1, V. Sivachidambaranathan2, R. Arulmurugan3
1A. Chandramouli, Department of Electrical, Sathyabama Institute of Science Technology, Chennai (Tamil Nadu), India.
2V. Sivachidambaranathan, Department of Electrical, Sathyabama Institute of Science Technology, Chennai (Tamil Nadu), India.
3R. Arulmurugan, Department of Electrical Engineering, Sanjivani College of Engineering, Kopargaon (Maharashtra), India.
Manuscript received on 19 August 2019 | Revised Manuscript received on 10 September 2019 | Manuscript Published on 17 September 2019 | PP: 1063-1068 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B10140882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1014.0882S819
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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: In this article, an improved single diode Photo Voltaic mathematical system with novel Fuzzy Logic Control (FLC) based maximum power extraction approach was developed. The photovoltaic module voltage versus current characteristics derivation were developed and it’s utilized to extract the photovoltaic module unknown arguments via as saturation current, light generated current, shunt and ideality factor, series resistance at reference. The various mathematical models are utilized to determine the photovoltaic system arguments at reference circumference by acquainting equations to calculate the value of resistance in series and shunt. The production of highest power of PV modules were equated with dissimilar manufactured PV model with various environmental conditions. The percentage relative error and highest power is computed and compared with previous models in the survey for dissimilar photovoltaic modules. Further, in this paper added with improved Perturb and Observe (P&O) based FLC control approach utilized to extract the highest energy from solar panel. The output of the developed system exposes the good performance during steady state period and transient periods. Moreover to confirm the developed photovoltaic model matches exactly with that of Sandia PV module.
Keywords: Fuzzy Logic Controller, Improved Perturbation and Observation, Maximum Energy Extraction.
Scope of the Article: Artificial Intelligence