Design of a solar MPP tracker with improved fuzzy logic
Durbanjali Das1, Saptadip Saha2, Priyanath Das3
1Durbanjali Das, Department of Electrical Engineering, National Institute of Technology Agartala, Jirania, Agartala-799046, West Tripura, India.
2Saptadip Saha, Ex. Asst. Professor, Department of Electrical Engineering, National Institute of Technology Agartala, Jirania, Agartala-799046, West Tripura, India.
3Priyanath Das, Department of Electrical Engineering, National Institute of Technology Agartala, Jirania, Agartala-799046, West Tripura, India.
Manuscript received on 12 August 2019. | Revised Manuscript received on 17 August 2019. | Manuscript published on 30 September 2019. | PP: 8465-8469 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6604098319/2019©BEIESP | DOI: 10.35940/ijrte.C6604.098319
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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 introduces a fresh control technique for monitoring the maximum power point of the standalone photovoltaic system at variable solar cell temperature and insolation. Here, the method uses a fuzzy logic controller which is used to track maximum radiation of solar at all time and both the azimuth and elevation angles of sun. A sampling process is used to measure the PV array power and voltage that decides an optimal increment of sample which is required to get the optimal operating voltage that permits maximum power tracking. This method provides high accuracy and reliable result around the optimum point. This proposed fuzzy logic based MPP tracker has shown a better performance compare to existing methods with a power conversion efficiency of ~95.7%. Different steps of designed controller and the set of fuzzy logic has been shown along with its simulation.
Index Terms: Solar Photovoltaic, Fuzzy, Mamdani, Member Function, MPPT.
Scope of the Article: fuzzy logic