PV Vortex Blade-Less Wind Hybrid System Based Cuckoo Search Maximum Power Point Tracking Algorithm

PV Vortex Blade-Less Wind Hybrid System Based Cuckoo Search Maximum Power Point Tracking Algorithm
Author(s):
BHUKYA SAMUEL NAIK, Dr.B.V Shanker Ram, Dr.M.Rajendar Reddy , Dr.M.Sudhakaran
Keywords:

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.
Article Details
Unique Paper ID: 155899 Publication Volume & Issue: Volume 9, Issue 2 Page(s): 970 - 977
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