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Energies 2017, 10(5), 643; doi:10.3390/en10050643

Optimal Control Based on Maximum Power Point Tracking (MPPT) of an Autonomous Hybrid Photovoltaic/Storage System in Micro Grid Applications

1
Electrical Engineering Department, Faculty of Engineering, University of Tabuk, Tabuk 71491, Saudi Arabia
2
Electrical Engineering Department, Faculty of Engineering, Sohag University, Sohag 82524, Egypt
*
Author to whom correspondence should be addressed.
Academic Editor: Wenxin Liu
Received: 3 March 2017 / Revised: 7 April 2017 / Accepted: 16 April 2017 / Published: 7 May 2017
(This article belongs to the Special Issue Advanced Operation and Control of Smart Microgrids)
View Full-Text   |   Download PDF [1494 KB, uploaded 7 May 2017]   |  

Abstract

This paper investigates how to increase the efficiency of a photovoltaic/energy storage generation unit supplying dynamic loads by regulating and managing both the photovoltaic generator and the storage battery charge-discharge modes. The proposed photovoltaic/energy storage unit is proposed to supply an induction motor driven industrial pump with controlled speed and/or a DC motor driven water pump. An optimal proportional-integral-derivative control based on an Artificial Bee Colony Optimization algorithm is used to regulate the photovoltaic generator in case of normal operation or in case of maximum power point tracking (MPPT) and to also control the battery storage charge discharge modes. A vector control based on the proposed optimal control is used to regulate the induction motor rotor speed at its low reference values needed by the industrial pump. First, a total model of the entire system is obtained. The controller performance with the proposed system is studied with both a DC motor and/or induction motor loads. Simulation results show that the proposed photovoltaic/storage generator is able to supply the suggested dynamic loads under different conditions and with good performance. Also, it is noticed that operating the photovoltaic base on maximum power point tracking condition will give about 43% extra generation power than the normal operation case. View Full-Text
Keywords: photovoltaic; energy storage system; artificial bee colony optimization algorithm; DC motor pump system; induction motor-industrial pump system photovoltaic; energy storage system; artificial bee colony optimization algorithm; DC motor pump system; induction motor-industrial pump system
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Atawi, I.E.; Kassem, A.M. Optimal Control Based on Maximum Power Point Tracking (MPPT) of an Autonomous Hybrid Photovoltaic/Storage System in Micro Grid Applications. Energies 2017, 10, 643.

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