Maximum Power Point Tracking Algorithms Under Partial  Shading Condition

Sheliya Shabir; Satish Saini; Dharminder Kumar

doi:10.55524/

Authors

Sheliya Shabir M. Tech Scholar, Department of Electrical Engineering, RIMT University, Mandi Gobingarh, Punjab, India Author
Satish Saini Professor, Department of Electrical Engineering, RIMT University, Mandi Gobingarh, Punjab, India Author
Dharminder Kumar Assistant Professor, Department of Electrical Engineering, RIMT University, Mandi Gobingarh, Punjab, India Author

DOI:

https://doi.org/10.55524/

Keywords:

Photovoltaic (PV), Maximum Power Point Tracking (Mppt), Deterministic Algorithms, Stochastic Algorithms

Abstract

High and rising fuel consumption has occurred in past times. resulted in enormous growth in renewable energy generation and consumption. As economies Photovoltaic (PV) solar is becoming more popular as the world's interest in cleaner energy grows. is becoming a more viable option. PV energy harvesting and managing has numerous advantages, but it also has certain disadvantages, such as low energy conversion efficiency due to optical and electrical losses. Because of the random component associated with its genesis, the partial shading problem, the first of these losses is typically the most hardest to deal with. As a result, shading countermeasures exist as an important component of power converting unit, so as to reduce negative influence over power efficiency extraction. Despite the fact that each of these processes has its own set of shortcomings, a large range of different techniques have been devised as well as evaluated in literature to far. We proposes a MATLAB simulation to investigate the efficiency of set of numerous high power point tracking approaches over a large range of shading speeds, where PV array layout is created in three different settings under various partial shading conditions.

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