An Energy Storage Assessment: Using Frequency Modulation Approach to Capture Optimal Coordination

Wan Chen, Baolian Liu, Muhammad Shahzad Nazir, Ahmed N. Abdalla, Mohamed A. Mohamed, Zujun Ding, Muhammad Shoaib Bhutta and Mehr Gul
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Wan Chen: Faculty of Automation, Huaiyin Institute of Technology, Huai’an 223003, China
Baolian Liu: Faculty of Automation, Huaiyin Institute of Technology, Huai’an 223003, China
Muhammad Shahzad Nazir: Faculty of Automation, Huaiyin Institute of Technology, Huai’an 223003, China
Ahmed N. Abdalla: Faculty of Electronic Information Engineering, Huaiyin Institute of Technology, Huai’an 223003, China
Mohamed A. Mohamed: Electrical Engineering Department, Faculty of Engineering, Minia University, Minia 61519, Egypt
Zujun Ding: Faculty of Automation, Huaiyin Institute of Technology, Huai’an 223003, China
Muhammad Shoaib Bhutta: School of Automotive and Transportation Engineering, Guilin University of Aerospace Technology, Guilin 541004, China
Mehr Gul: Department of Electrical Engineering, Balochistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta 1800, Pakistan

Sustainability, 2022, vol. 14, issue 14, 1-15

Abstract: To reduce the allocation of energy storage capacity in wind farms and improve economic benefits, this study is focused on the virtual synchronous generator (synchronverter) technology. A system accompanied by wind power, energy storage, a synchronous generator and load is presented in detail. A brief description of the virtual synchronous generator control strategy is given. The capacity allocation is based on different optimization goals and the optimal energy storage capacity configuration of the coordinated frequency modulation (FM) control strategy. The detail of the dual-loop control strategy is carried out by establishing the grid-connected transfer function model of the synchronverter energy storage and a theoretical model of life cycle cost is established. The optimal control strategy of coordinated FM for wind storage is implemented using MATLAB software. The simulation showed that the proposed strategy provided the energy storage capacity at high wind speed, which is configured to be 5.9% of the installed capacity of the wind turbine, marking a reduction of 26% compared with the 8% capacity required for independent support. In addition, the proposed method has improved the energy storage capacity configuration of the coordinated FM control strategy.

Keywords: energy storage system (ESS); synchronverter; wind energy; frequency modulation (FM); capacity configuration (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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