PI controller design using artificial bee colony algorithm for MPPT of photovoltaic system supplied DC motor‐pump load |
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Authors: | A. S. Oshaba E. S. Ali S. M. Abd Elazim |
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Affiliation: | 1. Electronics Research Institute, Power Electronics and Energy Conversions, NRC Blg., Dokki, Egypt;2. Electrical Department, Faculty of Engineering, Jazan University, Jazan, Kingdom of Saudi Arabia;3. Electric Power and Machine Department, Faculty of Engineering, Zagazig University, Zagazig, Egypt |
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Abstract: | Maximum Power Point Tracking (MPPT) is used in Photovoltaic (PV) systems to maximize its output power. A new MPPT system has been suggested for PV‐DC motor pump system by designing two PI controllers. The first one is used to reach MPPT by monitoring the voltage and current of the PV array and adjusting the duty cycle of the DC/DC converter. The second PI controller is designed for speed control of DC series motor by setting the voltage fed to the DC series motor through another DC/DC converter. The suggested design problem of MPPT and speed controller is formulated as an optimization task which is solved by Artificial Bee Colony (ABC) to search for optimal parameters of PI controllers. Simulation results have shown the validity of the developed technique in delivering MPPT to DC series motor pump system under atmospheric conditions and tracking the reference speed of motor. Moreover, the performance of the ABC algorithm is compared with Genetic Algorithm for various disturbances to prove its robustness. © 2015 Wiley Periodicals, Inc. Complexity 21: 99–111, 2016 |
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Keywords: | photovoltaic system optimization algorithm maximum power point tracking PI controller DC series motor pump system |
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