LAPSE:2019.0574
Published Article
LAPSE:2019.0574
Modeling, Management, and Control of an Autonomous Wind/Fuel Cell Micro-Grid System
Ibrahem E. Atawi, Ahmed M. Kassem, Sherif A. Zaid
June 8, 2019
This paper proposes a microelectric power grid that includes wind and fuel cell power generation units, as well as a water electrolyzer for producing hydrogen gas. The grid is loaded by an induction motor (IM) as a dynamic load and constant impedance load. An optimal control algorithm using the Mine Blast Algorithm (MBA) is designed to improve the performance of the proposed renewable energy system. Normally, wind power is adapted to feed the loads at normal circumstances. Nevertheless, the fuel cell compensates extra load power demand. An optimal controller is applied to regulate the load voltage and frequency of the main power inverter. Also, optimal vector control is applied to the IM speed control. The response of the microgrid with the proposed optimal control is obtained under step variation in wind speed, load impedance, IM rotor speed, and motor mechanical load torque. The simulation results indicate that the proposed renewable generation system supplies the system loads perfectly and keeps up the desired load demand. Furthermore, the IM speed performance is acceptable under turbulent wind speed.
Keywords
fuel cell, hybrid system, IM, induction generator, mine blast optimizer, wind energy
Suggested Citation
Atawi IE, Kassem AM, Zaid SA. Modeling, Management, and Control of an Autonomous Wind/Fuel Cell Micro-Grid System. (2019). LAPSE:2019.0574
Author Affiliations
Atawi IE: Department of Electrical Engineering, Faculty of Engineering, University of Tabuk, Tabuk 71491, Saudi Arabia
Kassem AM: Department of Electrical Engineering, Faculty of Engineering, Sohag University, Sohag 82524, Egypt
Zaid SA: Department of Electrical Power, Faculty of Engineering, Cairo University, Cairo 12613, Egypt
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Journal Name
Processes
Volume
7
Issue
2
Article Number
E85
Year
2019
Publication Date
2019-02-08
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr7020085, Publication Type: Journal Article
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LAPSE:2019.0574
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doi:10.3390/pr7020085
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Jun 8, 2019
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CC BY 4.0
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[v1] (Original Submission)
Jun 8, 2019
 
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Jun 8, 2019
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Original Submitter
Calvin Tsay
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