Comprehensive Review and Analysis on Applications and Advantages of Soft Computing Based Maximum Power Point Tracking in Solar PV Energy System

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Bharat Bhushan Jain
Nandkishor Gupta
Ashish Raj
Sandeep Kumar


For both production and daily living, electricity is essential. Power generation, power transmission, power conversion, and power consumption make up the four components of the power system. It is difficult to set up transmission and transmission systems for minimal power demands on isolated farms, forest farms, and islands. The past ten years have seen the discovery and publication of several methods for finding MPP. These technologies differ in many ways, including the types of sensors used, their complexity, price, speed of detection, accuracy in tracking changes in light and temperature, the materials required for the application or user data, etc. There are several methods, including P&O, ear networks, open or short-circle volumes, current probe, and fuzzy logic controllers. The majority of these techniques provide at least locally, however others, such open or short circular circuits, only provide an average MPP. This is not an issue because the V-P curve often has just one meaningful value. However, there will be more than one maximum in these curves if the PV curve is somewhat obscured. This research article provides a thorough analysis of the various renewable energy sources, as well as their maximum point tracking methodologies and comparison outcomes.

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Bharat Bhushan Jain, Nandkishor Gupta, Ashish Raj, & Sandeep Kumar. (2022). Comprehensive Review and Analysis on Applications and Advantages of Soft Computing Based Maximum Power Point Tracking in Solar PV Energy System. International Journal on Recent Technologies in Mechanical and Electrical Engineering, 9(3), 67–74.


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