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 and Nasser Hosseinzadeh
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Saheb Khanabdal: Department of Electrical Engineering, Shahrood University of Technology, Shahrood 3619995161, Iran
Mahdi Banejad: Department of Electrical Engineering, Shahrood University of Technology, Shahrood 3619995161, Iran
Frede Blaabjerg: Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark
Nasser Hosseinzadeh: Centre for Smart Power and Energy Research, School of Engineering, Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, VIC 3216, Australia

Energies, 2021, vol. 14, issue 16, 1-17

Abstract: 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 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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