LAPSE:2023.33830v1
Published Article
LAPSE:2023.33830v1
A Novel Power Sharing Strategy Based on Virtual Flux Droop and Model Predictive Control for Islanded Low-Voltage AC Microgrids
Saheb Khanabdal, Mahdi Banejad, Frede Blaabjerg, Nasser Hosseinzadeh
April 24, 2023
The droop control scheme based on Q − ω and P − V characteristics is conventionally employed to share the load power among sources in an islanded low-voltage microgrid with resistive line impedances. However, it suffers from poor active power sharing, and is vulnerable to sustained deviations in frequency and voltage. Therefore, accurate power sharing and maintaining the frequency and voltage in the desired ranges are challenging. This paper proposes a novel microgrid control strategy to address these issues. The proposed strategy consists of a virtual flux droop and a model predictive control, in which the virtual flux is the time integral of the voltage. Firstly, the novel virtual flux droop control is proposed to accurately control the power sharing among DGs. Then, the model predictive flux control is employed to generate the appropriate switching signals. The proposed strategy is simple without needing multiple feedback control loops. In addition, pulse width modulation is not required and tuning challenges for PI regulators are avoided. In order to evaluate the effectiveness of the proposed microgrid control strategy, simulation analysis is carried out in Matlab/Simulink software environment. The results show that accurate power sharing is achieved while a good dynamic response is provided. Furthermore, the voltage and frequency deviations are significantly improved.
Keywords
droop control, microgrid, Model Predictive Control, power sharing, remote community energy resilience, virtual flux
Suggested Citation
Khanabdal S, Banejad M, Blaabjerg F, Hosseinzadeh N. A Novel Power Sharing Strategy Based on Virtual Flux Droop and Model Predictive Control for Islanded Low-Voltage AC Microgrids. (2023). LAPSE:2023.33830v1
Author Affiliations
Khanabdal S: Department of Electrical Engineering, Shahrood University of Technology, Shahrood 3619995161, Iran
Banejad M: Department of Electrical Engineering, Shahrood University of Technology, Shahrood 3619995161, Iran
Blaabjerg F: Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark [ORCID]
Hosseinzadeh N: Centre for Smart Power and Energy Research, School of Engineering, Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, VIC 3216, Australia [ORCID]
Journal Name
Energies
Volume
14
Issue
16
First Page
4893
Year
2021
Publication Date
2021-08-10
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14164893, Publication Type: Journal Article
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doi:10.3390/en14164893
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Apr 24, 2023
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