A Novel Power Sharing Strategy Based on Virtual Flux Droop and Model Predictive Control for Islanded Low-Voltage AC Microgrids
The droop control scheme based on <i>Q</i> − ω and <i>P</i> − <i>V</i> 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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/16/4893 |
| _version_ | 1797524034131329024 |
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| author | Saheb Khanabdal Mahdi Banejad Frede Blaabjerg Nasser Hosseinzadeh |
| author_facet | Saheb Khanabdal Mahdi Banejad Frede Blaabjerg Nasser Hosseinzadeh |
| author_sort | Saheb Khanabdal |
| collection | DOAJ |
| description | The droop control scheme based on <i>Q</i> − ω and <i>P</i> − <i>V</i> 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. |
| first_indexed | 2024-03-10T08:51:34Z |
| format | Article |
| id | doaj.art-53f584d2bd5e4f17a2ad6e2131217090 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T08:51:34Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-53f584d2bd5e4f17a2ad6e21312170902023-11-22T07:28:56ZengMDPI AGEnergies1996-10732021-08-011416489310.3390/en14164893A Novel Power Sharing Strategy Based on Virtual Flux Droop and Model Predictive Control for Islanded Low-Voltage AC MicrogridsSaheb Khanabdal0Mahdi Banejad1Frede Blaabjerg2Nasser Hosseinzadeh3Department of Electrical Engineering, Shahrood University of Technology, Shahrood 3619995161, IranDepartment of Electrical Engineering, Shahrood University of Technology, Shahrood 3619995161, IranDepartment of Energy Technology, Aalborg University, 9220 Aalborg, DenmarkCentre for Smart Power and Energy Research, School of Engineering, Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, VIC 3216, AustraliaThe droop control scheme based on <i>Q</i> − ω and <i>P</i> − <i>V</i> 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.https://www.mdpi.com/1996-1073/14/16/4893droop controlmicrogridmodel predictive controlpower sharingremote community energy resiliencevirtual flux |
| spellingShingle | Saheb Khanabdal Mahdi Banejad Frede Blaabjerg Nasser Hosseinzadeh A Novel Power Sharing Strategy Based on Virtual Flux Droop and Model Predictive Control for Islanded Low-Voltage AC Microgrids Energies droop control microgrid model predictive control power sharing remote community energy resilience virtual flux |
| title | A Novel Power Sharing Strategy Based on Virtual Flux Droop and Model Predictive Control for Islanded Low-Voltage AC Microgrids |
| title_full | A Novel Power Sharing Strategy Based on Virtual Flux Droop and Model Predictive Control for Islanded Low-Voltage AC Microgrids |
| title_fullStr | A Novel Power Sharing Strategy Based on Virtual Flux Droop and Model Predictive Control for Islanded Low-Voltage AC Microgrids |
| title_full_unstemmed | A Novel Power Sharing Strategy Based on Virtual Flux Droop and Model Predictive Control for Islanded Low-Voltage AC Microgrids |
| title_short | A Novel Power Sharing Strategy Based on Virtual Flux Droop and Model Predictive Control for Islanded Low-Voltage AC Microgrids |
| title_sort | novel power sharing strategy based on virtual flux droop and model predictive control for islanded low voltage ac microgrids |
| topic | droop control microgrid model predictive control power sharing remote community energy resilience virtual flux |
| url | https://www.mdpi.com/1996-1073/14/16/4893 |
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