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IJSTR >> Volume 8 - Issue 11, November 2019 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

MPP Technique Using PSO With Inertia Under Dynamic Environmental Conditions

[Full Text]



Shamshad Ali, Uzair Malik, Majid Jamil, M A Khan



Solar PV, MPPT, Global Maximum Power Point, Local Maximum Power Point, Particle Swarm Optimization (PSO).



The output power in PV module depends upon the solar irradiance and atmospheric conditions. Maximum power does not fluctuate under uniform environmental conditions. However, during the varying atmospheric conditions all the modules are not able to produce stable voltage. So, the PV characteristics become highly non-linear. To solve this non-linear problem the concept of PSO with inertia and without inertia is being used, which will be capable for tracing the global maximum power point. Since PV characteristics under varying atmosphere conditions consist of many peaks called as local maxima and global maxima. This paper presents the MPP technique using PSO with inertia under dynamic environmental conditions. So, with inertia optimizes the conditions under partial conditions and identify global maximum power point. This technique requires very less time to converge maximum power to the global maximum power point than the meta-heuristic techniques and as well as the conventional PSO.



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