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

Author

Listed:
  • Ibrahem E. Atawi

    (Electrical Engineering Department, Faculty of Engineering, University of Tabuk, Tabuk 71491, Saudi Arabia)

  • Ahmed M. Kassem

    (Electrical Engineering Department, Faculty of Engineering, Sohag University, Sohag 82524, Egypt)

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.

Suggested Citation

  • Ibrahem E. Atawi & Ahmed M. Kassem, 2017. "Optimal Control Based on Maximum Power Point Tracking (MPPT) of an Autonomous Hybrid Photovoltaic/Storage System in Micro Grid Applications," Energies, MDPI, vol. 10(5), pages 1-14, May.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:5:p:643-:d:97836
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    References listed on IDEAS

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    1. Kyriakarakos, George & Dounis, Anastasios I. & Rozakis, Stelios & Arvanitis, Konstantinos G. & Papadakis, George, 2011. "Polygeneration microgrids: A viable solution in remote areas for supplying power, potable water and hydrogen as transportation fuel," Applied Energy, Elsevier, vol. 88(12), pages 4517-4526.
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    Cited by:

    1. Andrzej Soboń & Daniel Słyś & Mariusz Ruszel & Alicja Wiącek, 2021. "Prospects for the Use of Hydrogen in the Armed Forces," Energies, MDPI, vol. 14(21), pages 1-12, October.
    2. Carlos Robles Algarín & John Taborda Giraldo & Omar Rodríguez Álvarez, 2017. "Fuzzy Logic Based MPPT Controller for a PV System," Energies, MDPI, vol. 10(12), pages 1-18, December.
    3. Ahmad Taher Azar & Azher M. Abed & Farah Ayad Abdulmajeed & Ibrahim A. Hameed & Nashwa Ahmad Kamal & Anwar Jaafar Mohamad Jawad & Ali Hashim Abbas & Zainab Abdulateef Rashed & Zahraa Sabah Hashim & Mo, 2022. "A New Nonlinear Controller for the Maximum Power Point Tracking of Photovoltaic Systems in Micro Grid Applications Based on Modified Anti-Disturbance Compensation," Sustainability, MDPI, vol. 14(17), pages 1-25, August.
    4. Yajing Gao & Fushen Xue & Wenhai Yang & Yanping Sun & Yongjian Sun & Haifeng Liang & Peng Li, 2017. "A Three-Part Electricity Price Mechanism for Photovoltaic-Battery Energy Storage Power Plants Considering the Power Quality and Ancillary Service," Energies, MDPI, vol. 10(9), pages 1-21, August.
    5. Xin Lyu & Ke Yang & Juejing Fang & Jinzhou Tang & Yu Wang, 2022. "Feasibility Study of Construction of Pumped Storage Power Station Using Abandoned Mines: A Case Study of the Shitai Mine," Energies, MDPI, vol. 16(1), pages 1-16, December.

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