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Performance Improvements of Induction Motor Drive Supplied by Hybrid Wind and Storage Generation System Based on Mine Blast Algorithm

Author

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  • Shiref A. Abdalla

    (Malaysia-Japan International Institute of Technology (MJIIT), Utm Kuala Lumpur, Jalan Sultan Yahya Petra, Kuala Lumpur 54100, Malaysia)

  • Shahrum S. Abdullah

    (Malaysia-Japan International Institute of Technology (MJIIT), Utm Kuala Lumpur, Jalan Sultan Yahya Petra, Kuala Lumpur 54100, Malaysia)

Abstract

This research investigates the performance improvements of induction motor (IM) drive supplied by a hybrid wind/battery storage system based on the optimal mine blast algorithm. This is done by using IM field-oriented speed control as an independent dynamic load and a battery as a storage power unit. To ensure the accuracy and quality of energy equilibrium in autonomous wind power systems, there is an urgent and necessary demand for battery storage units. So in principle, the overall system of the complete model is configured to be combined with an uncontrolled rectifier, a steady magnetic synchronous generator (PMSG), a buck converter, and a lead–acid battery (LAB) in addition to an induction motor. According to the imposed controller, the loads required power can be obtained effectively by the prescribed battery storage and the wind generation units. Considering the suggested vector control to adjust the induction motor velocity through a three-phase inverter, it will be obtained 220 V/50 Hz, which is the principal target of this research. Moreover, the system with the proposed optimal control is compared with the optimal control based on genetic algorithm (GA) and the classical PID control. It is, therefore, possible to conclude that the results of numerical calculations and simulations illustrate that the studied system has strong achievement and perfect predictor of the electric parameter waveforms.

Suggested Citation

  • Shiref A. Abdalla & Shahrum S. Abdullah, 2019. "Performance Improvements of Induction Motor Drive Supplied by Hybrid Wind and Storage Generation System Based on Mine Blast Algorithm," Energies, MDPI, vol. 12(15), pages 1-17, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:2947-:d:253524
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    References listed on IDEAS

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    1. Sung-Won Lee & Kwan-Ho Chun, 2019. "Adaptive Sliding Mode Control for PMSG Wind Turbine Systems," Energies, MDPI, vol. 12(4), pages 1-17, February.
    2. Ghaeth Fandi & Ibrahim Ahmad & Famous O. Igbinovia & Zdenek Muller & Josef Tlusty & Vladimir Krepl, 2018. "Voltage Regulation and Power Loss Minimization in Radial Distribution Systems via Reactive Power Injection and Distributed Generation Unit Placement," Energies, MDPI, vol. 11(6), pages 1-17, May.
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