• Usha Dhankar
• Dr. Poonam Singal

A Solar panel is a proficient power hotspot for the creation of electrical energy for extended years. Any deformity to solar cell panel surface prompt for decreased making of power and loss in the yield. Subsequently, the location of cracks on solar panel surfaces is the greatest essential stride during the inspection of solar panel, and it has main implication. In any case, these strategies cost lots of computation time and with low precision. Aiming for a few issues of the main method, a new framework is proposed to distinguish the cracks. Crack can be distinguished by utilizing optimization techniques based on segmentation. It is important to identify the crack in solar panel cells since they can directly diminish the execution of the panel and additionally the power yield. In view of the segmentation process, the potential regions which have cracks have been found, and then distinctive optimization algorithms were run on these areas to discover crack pixels. An extensive number of trials demonstrate that, this technique procures more good and additional full crack outlines with low addition costs.

Solar cell, Particle Swarm Optimization (PSO), Differential Particle Swarm Optimization (DPSO) and Fractional Order Differential Particle Swarm Optimization (FODPSO

"Solar Power Calculation using MPPT and DVFS Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.309-314, July-2018, Available :http://www.jetir.org/papers/JETIR1807050.pdf

"Solar Power Calculation using MPPT and DVFS Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp309-314, July-2018, Available at : http://www.jetir.org/papers/JETIR1807050.pdf