A Comparative Analysis of Prominent Virtual Synchronous Generator Strategies Under Different Network Conditions
The virtual synchronous generator (VSG) is the most widely used grid-forming inverter (GFMI) control technique. The VSG can provide enhanced ancillary services and improved dynamic response compared to conventional synchronous generators and grid-following inverters (GFLIs). Developing an improved u...
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IEEE
2024-01-01
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| Series: | IEEE Open Access Journal of Power and Energy |
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| Online Access: | https://ieeexplore.ieee.org/document/10488377/ |
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| author | Chalitha Liyanage Inam Nutkani Lasantha Meegahapola |
| author_facet | Chalitha Liyanage Inam Nutkani Lasantha Meegahapola |
| author_sort | Chalitha Liyanage |
| collection | DOAJ |
| description | The virtual synchronous generator (VSG) is the most widely used grid-forming inverter (GFMI) control technique. The VSG can provide enhanced ancillary services and improved dynamic response compared to conventional synchronous generators and grid-following inverters (GFLIs). Developing an improved understanding of VSG strategies is vital to deploy them in the appropriate context in power grids. Therefore, this paper provides a rigorous comparative performance analysis of prominent VSG strategies (e.g., ISE-Lab, synchronverter, Kawasaki Heavy Industries (KHI) model, and power synchronisation control (PSC)) under different network conditions (e.g., X/R ratios, network faults, and load types). Dynamic simulation studies have been carried out using a simplified test system to assess the performance of VSG models. Furthermore, comprehensive mathematical models of VSGs have been derived in order to verify the simulation results through a frequency domain stability analysis. Moreover, the offline simulation platform results have been validated in real-time using the IEEE-39 bus network on the OPAL-RT platform. According to the analysis, the synchronverter-based VSGs perform much better under low X/R ratios, fault conditions, and dynamic loads. Hence, they are more suitable for distribution grids and load centres with a high share of dynamic loads. |
| format | Article |
| id | doaj-art-cc3176a8f830463aaa7f4f2e09dce2e5 |
| institution | Kabale University |
| issn | 2687-7910 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Access Journal of Power and Energy |
| spelling | doaj-art-cc3176a8f830463aaa7f4f2e09dce2e52025-01-21T00:03:15ZengIEEEIEEE Open Access Journal of Power and Energy2687-79102024-01-011117819510.1109/OAJPE.2024.338435410488377A Comparative Analysis of Prominent Virtual Synchronous Generator Strategies Under Different Network ConditionsChalitha Liyanage0https://orcid.org/0009-0005-2656-0553Inam Nutkani1https://orcid.org/0000-0001-5827-6649Lasantha Meegahapola2https://orcid.org/0000-0003-4471-8471Department of Electrical and Electronic Engineering, RMIT University, Melbourne, VIC, AustraliaDepartment of Electrical and Electronic Engineering, RMIT University, Melbourne, VIC, AustraliaDepartment of Electrical and Electronic Engineering, RMIT University, Melbourne, VIC, AustraliaThe virtual synchronous generator (VSG) is the most widely used grid-forming inverter (GFMI) control technique. The VSG can provide enhanced ancillary services and improved dynamic response compared to conventional synchronous generators and grid-following inverters (GFLIs). Developing an improved understanding of VSG strategies is vital to deploy them in the appropriate context in power grids. Therefore, this paper provides a rigorous comparative performance analysis of prominent VSG strategies (e.g., ISE-Lab, synchronverter, Kawasaki Heavy Industries (KHI) model, and power synchronisation control (PSC)) under different network conditions (e.g., X/R ratios, network faults, and load types). Dynamic simulation studies have been carried out using a simplified test system to assess the performance of VSG models. Furthermore, comprehensive mathematical models of VSGs have been derived in order to verify the simulation results through a frequency domain stability analysis. Moreover, the offline simulation platform results have been validated in real-time using the IEEE-39 bus network on the OPAL-RT platform. According to the analysis, the synchronverter-based VSGs perform much better under low X/R ratios, fault conditions, and dynamic loads. Hence, they are more suitable for distribution grids and load centres with a high share of dynamic loads.https://ieeexplore.ieee.org/document/10488377/Dynamic loadsfrequency stabilitygrid forming inverter (GFMI)system strengthvirtual synchronous generator (VSG)virtual inertia |
| spellingShingle | Chalitha Liyanage Inam Nutkani Lasantha Meegahapola A Comparative Analysis of Prominent Virtual Synchronous Generator Strategies Under Different Network Conditions IEEE Open Access Journal of Power and Energy Dynamic loads frequency stability grid forming inverter (GFMI) system strength virtual synchronous generator (VSG) virtual inertia |
| title | A Comparative Analysis of Prominent Virtual Synchronous Generator Strategies Under Different Network Conditions |
| title_full | A Comparative Analysis of Prominent Virtual Synchronous Generator Strategies Under Different Network Conditions |
| title_fullStr | A Comparative Analysis of Prominent Virtual Synchronous Generator Strategies Under Different Network Conditions |
| title_full_unstemmed | A Comparative Analysis of Prominent Virtual Synchronous Generator Strategies Under Different Network Conditions |
| title_short | A Comparative Analysis of Prominent Virtual Synchronous Generator Strategies Under Different Network Conditions |
| title_sort | comparative analysis of prominent virtual synchronous generator strategies under different network conditions |
| topic | Dynamic loads frequency stability grid forming inverter (GFMI) system strength virtual synchronous generator (VSG) virtual inertia |
| url | https://ieeexplore.ieee.org/document/10488377/ |
| work_keys_str_mv | AT chalithaliyanage acomparativeanalysisofprominentvirtualsynchronousgeneratorstrategiesunderdifferentnetworkconditions AT inamnutkani acomparativeanalysisofprominentvirtualsynchronousgeneratorstrategiesunderdifferentnetworkconditions AT lasanthameegahapola acomparativeanalysisofprominentvirtualsynchronousgeneratorstrategiesunderdifferentnetworkconditions AT chalithaliyanage comparativeanalysisofprominentvirtualsynchronousgeneratorstrategiesunderdifferentnetworkconditions AT inamnutkani comparativeanalysisofprominentvirtualsynchronousgeneratorstrategiesunderdifferentnetworkconditions AT lasanthameegahapola comparativeanalysisofprominentvirtualsynchronousgeneratorstrategiesunderdifferentnetworkconditions |