LAPSE:2023.6230
Published Article

LAPSE:2023.6230
Transient Stability Improvement of Large-Scale Photovoltaic Grid Using a Flywheel as a Synchronous Machine
February 23, 2023
Abstract
The global climate protection policy aimed at achieving a zero greenhouse gas emissions target has led to the fast incorporation of large-scale photovoltaics into the power network. The conventional AC grid was not modeled to be incorporated with large-scale non-synchronous inverter-based energy resources (IBR). Incorporating inertia-free IBR into the grid leads to technical issues such as the degradation of system strength and inertia, therefore affecting the safety and reliability of the electrical power system. This research introduced a new solution to incorporate a flywheel in the rotor of a synchronous machine to improve the dynamic inertia control during a system disruption and to maintain the constancy of the system. The objective of this work is to enhance large-scale photovoltaic systems in such a way that they can avoid failures during a fault. A model of transient constancy with two synchronous generators and a LSPV is established in PowerWorld modeling software. A line-to-ground and three-phase fault are simulated in a system with up to 50% IBR penetration. The outcomes showed that the power network was able to ride through faults (RTFs) and that the stability of frequency and voltage are enhanced because of a flywheel that improved grid inertia and strength.
The global climate protection policy aimed at achieving a zero greenhouse gas emissions target has led to the fast incorporation of large-scale photovoltaics into the power network. The conventional AC grid was not modeled to be incorporated with large-scale non-synchronous inverter-based energy resources (IBR). Incorporating inertia-free IBR into the grid leads to technical issues such as the degradation of system strength and inertia, therefore affecting the safety and reliability of the electrical power system. This research introduced a new solution to incorporate a flywheel in the rotor of a synchronous machine to improve the dynamic inertia control during a system disruption and to maintain the constancy of the system. The objective of this work is to enhance large-scale photovoltaic systems in such a way that they can avoid failures during a fault. A model of transient constancy with two synchronous generators and a LSPV is established in PowerWorld modeling software. A line-to-ground and three-phase fault are simulated in a system with up to 50% IBR penetration. The outcomes showed that the power network was able to ride through faults (RTFs) and that the stability of frequency and voltage are enhanced because of a flywheel that improved grid inertia and strength.
Record ID
Keywords
flywheel, inertia, inverter-based energy resources, PV, synchronous machine
Subject
Suggested Citation
Marupi M, Batool M, Alizadeh M, Zanib N. Transient Stability Improvement of Large-Scale Photovoltaic Grid Using a Flywheel as a Synchronous Machine. (2023). LAPSE:2023.6230
Author Affiliations
Marupi M: School of Electrical Engineering, Engineering Institute of Technology, Perth 6005, Australia
Batool M: School of Electrical Engineering, Engineering Institute of Technology, Perth 6005, Australia
Alizadeh M: School of Electrical Engineering, Engineering Institute of Technology, Perth 6005, Australia
Zanib N: Department of Electrical Engineering, University of Engineering and Technology, Taxila 47050, Pakistan [ORCID]
Batool M: School of Electrical Engineering, Engineering Institute of Technology, Perth 6005, Australia
Alizadeh M: School of Electrical Engineering, Engineering Institute of Technology, Perth 6005, Australia
Zanib N: Department of Electrical Engineering, University of Engineering and Technology, Taxila 47050, Pakistan [ORCID]
Journal Name
Energies
Volume
16
Issue
2
First Page
689
Year
2023
Publication Date
2023-01-06
ISSN
1996-1073
Version Comments
Original Submission
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PII: en16020689, Publication Type: Journal Article
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LAPSE:2023.6230
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https://doi.org/10.3390/en16020689
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Feb 23, 2023
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