Maximum Power Point Tracking of PV System under Partial Shading Condition

Authors

  • S. M. Jaanaki Professor, Department of Electrical and Electronics Engineering, MVJ College of Engineering, Bangalore, Karnataka, India
  • R. Ashika PG Student, Department of Electrical and Electronics Engineering, MVJ College of Engineering, Bangalore, Karnataka, India
  • Dheeraj Patil PG Student, Department of Electrical and Electronics Engineering, MVJ College of Engineering, Bangalore, Karnataka, India
  • R. Ganapriya PG Student, Department of Electrical and Electronics Engineering, MVJ College of Engineering, Bangalore, Karnataka, India
  • P. Sinchana PG Student, Department of Electrical and Electronics Engineering, MVJ College of Engineering, Bangalore, Karnataka, India

DOI:

https://doi.org/10.51983/ajes-2019.8.S1.2316

Keywords:

Maximum Power Tracking (MPPT), Partial Shading and Perturb and Observe (P&O) Algorithm

Abstract

Over decades renewable resources such as photovoltaic systems have been used, which focuses on new growing power generation. Today cost and efficiency is the major factors of concern in order to harness and use these natural resources in a better possible way. Thus, the concept of Maximum Power Point Tracking (MPPT) has developed. Irrespective of continuous changes in temperature and irradiation maximum power point tracker plays an important role in tracking power from photovoltaic system. The Major challenge that the photovoltaic system goes through is even when PV panel is partially shaded what is the maximum power that can be tracked so that, the output power and efficiency get boosted up. MATLAB software is used to implement the P&O algorithm under partial condition under different irradiation and change in environmental condition.

References

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Published

23-03-2019

How to Cite

Jaanaki, S. M., R. Ashika, Patil, D. ., Ganapriya, R. ., & Sinchana, P. . (2019). Maximum Power Point Tracking of PV System under Partial Shading Condition. Asian Journal of Electrical Sciences, 8(S1), 10–14. https://doi.org/10.51983/ajes-2019.8.S1.2316

Issue

Vol. 8 No. S1 (2019): Special Issues June 2019

Section

Articles

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Copyright (c) 2019 The Research Publication

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