A Research on Various Maximum Power Point Tracking Algorithms in a Photovoltaic System
South Asian Journal of Engineering and Technology Vol. 2, No. 26, p. 1-8, (2014)
5 Pages Posted: 20 Jan 2017 Last revised: 29 Jan 2017
Date Written: 2014
Maximum Power Point Tracking is a method used frequently with wind turbines and photovoltaic solar systems to exploit the power extraction under all climatic conditions. Although solar power is mostly covered, the principle applies normally to sources with variable power. Photovoltaic solar schemes exist in many diverse structures with regard to their relationship to inverter systems, battery banks, external grids and other electrical loads. Irrespective of the ultimate destination of solar power, though the central problem addressed by Maximum Power Point Tracking is that the efficiency of power transfer from the solar cell mainly depends on both the quantity of sunlight falling on the solar panels and the electrical characteristics of load. The main objective of this paper is to make a research and compare the performance of various Maximum Power Point Tracking algorithms in a photovoltaic system (Perturbation and Observation, Incremental Conductance and Hill Climbing algorithms). Perturbation and Observation Maximum Power Point Tracking algorithm holds fast dynamic-response and well-regulated Photovoltaic output voltage than Hill Climbing Algorithm. The deterministic procedure of Incremental Conductance algorithm is more complicated than the other two algorithms.
Keywords: Maximum Power Point Tracking, Perturbation and Observation Algorithm, Incremental Conductance Algorithm, Hill Climbing Algorithm
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