Conference proceeding
Curve fitting polynomial technique compared to ANFIS technique for maximum power point tracking
2017 8th International Renewable Energy Congress (IREC), pp 1-6
Mar 2017
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In this paper, an approach of designing a fast tracking MPPT is introduced using a predicted sixth order polynomial curve fitting MPPT technique. The results are compared with the lower order polynomials curve fitting MPPT and also compared with the Artificial Neuro-Fuzzy Inference System (ANFIS) results. The polynomials were generated from an offline solar data. This work was done to validate the effect of using a higher order polynomials under various weather conditions using modified CUK DC-DC converter. Findings suggest that using the 6 th order polynomial curve fitting and the ANFIS techniques could track the highest maximum power point than the lower order curve techniques.
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Details
- Title
- Curve fitting polynomial technique compared to ANFIS technique for maximum power point tracking
- Creators
- Adedayo M. Farayola - University of JohannesburgAli N. Hasan - University of JohannesburgAhmad Ali - University of Johannesburg
- Publication Details
- 2017 8th International Renewable Energy Congress (IREC), pp 1-6
- Publisher
- IEEE
- Number of pages
- 6
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Engineering Leadership and Society/Engineering Technology
- Web of Science ID
- WOS:000455472700059
- Scopus ID
- 2-s2.0-85020239366
- Other Identifier
- 991022004766404721
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- Web of Science research areas
- Energy & Fuels