Amjad Ali
, Amjad Ullah Khattak, Ahmad Jamal
Photovoltaic System (PV)) is one of the abundant sources of renewable energy available on the earth. The PV system plays a vital rule to cope with electric power demands without affecting the environments; as it is one of the green energies. To get the maximum power from the available PV system and to utilize its maximum efficiency; the control techniques of the maximum power point have a great contribution. But the Partial shading condition makes it more challenging because of the local and Global maximum power points. The first challenge to cope with: is to find those maxima and minima which can be done by having a variable voltage source across the load to achieve a varying voltage. In the same way, while varying the voltage from zero to a maximum limit; there were two different maximum points of the power observed i.e., local and global maximum points. The Conventional control techniques (Incremental Conductance and Perturb and Observe) were applied to the PV system for maximum point achievement. The Incremental conductance has achieved the power near the local maximum point while P&O has improved this Power comparatively more than IC but still, it has been stuck to the local maximum point. Cuckoo search algorithm was able to bypass the local maximum point and successfully achieved the global maximum Power Point. Moreover, the Cuckoo control technique has a better transient response as compared to IC and P&O technique.
Amjad Ali Amjad Ullah Khattak Ahmad Jamal “Modeling of Partial Shading PV System to Predict and Achieve the Peak Power Point Usin International Journal of Engineering Works Vol. 9 Issue 02 PP. 32-38 February 2022 https://doi.org/10.34259/ijew.22.9023238.
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