CUTTLEFISH OPTIMIZATION CONTROL OF SOLAR PV ARRAY FED LANDSMAN CONVERTER
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Author:
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A.R. GAYATHRI, D.M. MARY SYNTHIA REGIS PRABHA
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Abstract:
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This paper presents a new meta-heuristic bio-inspired optimization algorithm which is called Cuttle Fish Optimization
algorithm (CFO).CFO is based on the color changing behavior of cuttlefish to find the optimal solution. The patterns
and colors that are seen in cuttlefish are produced by reflected light from different layers of cells and it is the
combination of certain cells at once that allows cuttlefish to possess such a large array of patterns and colors. In this
paper the Solar Photo Voltaic (SPV) array is used which is receiving wide attention now days because the everlasting
solar energy is the best alternative to the conventional energy sources. This work primarily focuses on the design and
development of an efficient solar photovoltaic array utilizing a Landsman Converter with PID controller. Fuzzy logic
controller and CuttleFish optimization techniques are used for the optimized control of the converter output voltage.
The CuttleFish optimization technique has been found to provide better results for randomly varying atmospheric
conditions as compared to the existing control schemes. This topology is designed and modeled in MATLAB/Simulink
platform and its performance under varying environmental conditions is studied. Moreover the efficiency of the PV
array for various control schemes is analyzed rigorously.
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Keyword:
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Solar PV array, landsman converter, Cuttle Fish Optimization algorithm.
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EOI:
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DOI:
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https://doi.org/10.31838/ijpr/2018.10.04.052
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