Development of MPPT Algorithm and Wind Rose Model for Wind Farm in Maharashtra
Krishnat U. Jadhav1, Archana G. Thosar2
1Mr. Krishnat Uttam Jadhav*, Assistant Professor, Department of BSH, Dr. Daulatrao Aher College of Engineering, Karad, India.
2Dr. Archana G. Thosar, Professor, Department of Electrical Engineering, Government College of Engineering, Pune, India.
Manuscript received on February 06, 2020. | Revised Manuscript received on February 10, 2020. | Manuscript published on February 30, 2020. | PP: 1321-1325 | Volume-9 Issue-3, February, 2020. | Retrieval Number: C5368029320/2020©BEIESP | DOI: 10.35940/ijeat.C5368.029320
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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 work focuses on enhancements of the maximum power point tracking for wind energy village. This work also targeted on numerous variables like air density, wind speed and impression of other geographical regions specific ecological elements. The Incremental Conductance along with Fractional open Circuit Voltage algorithms are usually is much less fruitful and still has problem in determining perfect step-size. To eliminate such drawbacks we recommended Hybrid execution of MPPT algorithms for maximum power point tracking to achieve the best possible power operation. The algorithms are presented by using Matlab simulation. This paper also delivers results for wind farm for various climate conditions in Maharashtra region with wind rose analysis. The outcomes attained are ideal for equivalent weather conditions based on air density variations and Hybrid Algorithm execution can be applied to draw out maximum power point. Results shows that recommended method is more efficient maximum power point tracking method with less execution time for any renewable energy resources.
Keywords: MPPT algorithms, power optimization, wind energy, incremental conductance, wind rose, wind farm analysis.