Maximum Power Point Tracking using Direct Control with Cuckoo Search for Photovoltaic Module under Partial Shading Condition
Abstract
In these days, our country Pakistan is facing numerous crises. Electric power is one of them. Therefore, it is time to presents such sources to beat the crises of power. Sources should be like which do not upset the atmosphere. In most of the methods, CO2 generated that spoil the nature solar energy is becoming vital source of renewable energy resources. As such, it is very essential that those in engineering fields be aware of the technologies related with this area. Many cities are built totally with plan of executing Solar technology and this is one of the renewable resources has multiplied across loads areas. Still, it is behind in the track of being a leading energy resource. This work proposes direct control for MPP for photovoltaic module using cuckoo search under partly covered state. It is accredited that artificial intelligence Cuckoo search algorithm shows several merits like fast convergence and higher efficiency using fewer tuning parameters. To justify direct control using CS as a viable MPPT option, a brief analysis is accomplished against two different algorithms, Direct Control and Cuckoo Search algorithm. The ability of the algorithm is to handle the partial shading condition is verified.
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