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Mahmoud M. Elkholy
Ahmed Fathy



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Mahmoud M. Elkholy
Ahmed Fathy


WSEAS Transactions on Power Systems


Print ISSN: 1790-5060
E-ISSN: 2224-350X

Volume 12, 2017

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.



An Optimal PV System Fed Water Pump Three Phase Induction Motor without Storage Systems Based on TLBO Technique and ANN

AUTHORS: Mahmoud M. Elkholy, Ahmed Fathy

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ABSTRACT: In this paper an optimal performance of three phase induction motor drives a centrifugal water pump and fed from PV system without storage elements during starting and running is presented. A three level three phase inverter is used to convert the dc voltage from the PV array to a variable voltage and frequency to supply the three phase induction motor. The output voltage and frequency of the inverter are controlled to extract the maximum power from solar panel during running at different levels of irradiance and temperatures using a Teaching Learning Based Optimization (TLBO) algorithm with minimum motor losses. The ratio of voltage magnitude and frequency is held within rated values to avoid saturation and motor overheating. The rating of PV array is chosen to develop the rated power of the pump at normal irradiance and temperature. The output voltage of the inverter is controlled during starting to prevent an excessive current from PV and to develop a torque larger than pump torque. An ANN is developed to give an optimal inverter voltage and frequency to extract maximum power from the PV array. The complete model is simulated using MATLAB/ Simulink.

KEYWORDS: Photovoltaic panel, Water Pumping System, Three phase Induction Drive, TLBO, ANN

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WSEAS Transactions on Power Systems, ISSN / E-ISSN: 1790-5060 / 2224-350X, Volume 12, 2017, Art. #39, pp. 335-345


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