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@article{155899,
        author = {BHUKYA SAMUEL NAIK and Dr.B.V Shanker Ram and Dr.M.Rajendar Reddy  and Dr.M.Sudhakaran },
        title = {PV Vortex Blade-Less Wind Hybrid System Based Cuckoo Search Maximum Power Point Tracking Algorithm},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {2},
        pages = {970-977},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155899},
        abstract = {Finding a PV-Vortex Blade-less Wind hybrid system with maximum power point using Cuckoo search MPPT is the major objective of this article Blade-less freestanding hybrid systems employing wind and solar energy may now be built at a fraction of the cost. It is difficult to keep up with quickly changing environmental circumstances using typical MPPT algorithms (incremental conductance, P and O, and particle swarms). The Cuckoo Search Algorithm (CSA), an evolutionary algorithmic approach, is used to find the best quantity of electricity. For both WIND and PV, the DC-DC step-up boost converters are being employed using the CS artificial intelligence technique. After the maximum power point tracking technique is proposed to the DC link or DC loads, the DC/DC converters raise the voltage of the two sources. Matlab Simulink is used to develop and verify the outcomes of the Blade-less hybrid system.},
        keywords = {},
        month = {},
        }