A system and novel methodology to track maximum power from photo voltaic system: A comparative and experimental analysis
This paper gives a new control technique that allows the system to operate at maximum power based on power perturbs and Duty cycle variations along with the Experimental validation using five different methodologies. Though, it is experiencing quite a few drawbacks due to fixed perturb values, the s...
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Published in | Journal of King Saud University. Engineering sciences Vol. 32; no. 7; pp. 442 - 458 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.11.2020
Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | This paper gives a new control technique that allows the system to operate at maximum power based on power perturbs and Duty cycle variations along with the Experimental validation using five different methodologies. Though, it is experiencing quite a few drawbacks due to fixed perturb values, the steady state oscillations(SSO) are relative to the perturb value. Larger perturb values cause more oscillations. Unluckily, smaller perturb values result in slower response. This problem can be overcome by adding an appropriate irradiance loop to the basic fixed step size algorithm. This technique is intended for quicker response to irradiance and temperature changes with varying perturbations. However, the problems in which incremental and decremented step of voltage perturbs and the current change threshold remain unclear. This drawback can be minimised by choosing Adaptive fixed Duty Cycle Algorithm (AFDCA) with a fixed duty cycle perturb of photovoltaic system. The tracking capability of new proposed technique has been validated through simulation and experimental set-up with a 100 W solar panel with variation of irradiance under STC, For incremental/step change in irradiance, variations with the load, voltage perturb changes with fine tuning steps, variation of Duty Cycle parameters along with settling times of Power to steady state. |
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ISSN: | 1018-3639 1018-3639 |
DOI: | 10.1016/j.jksues.2018.02.006 |