Particle Swarm-Based Active Power Command Correction Virtual Synchronous Generator Control for Inverters with Current Limiting Capability and Enhanced Transient Stability.
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| Title: | Particle Swarm-Based Active Power Command Correction Virtual Synchronous Generator Control for Inverters with Current Limiting Capability and Enhanced Transient Stability. |
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| Authors: | Wang, Qiang1 (AUTHOR), Shi, Min1,2 (AUTHOR), Lv, Hao1 (AUTHOR), Zhang, Fei-Fei1,2 (AUTHOR), Gao, Yan1 (AUTHOR) gaoy3@he.sgcc.com.cn, Lv, Chen-Miao2 (AUTHOR), Yin, Xiao-Qi2 (AUTHOR), Yan, Juan2 (AUTHOR) |
| Source: | Energies (19961073). May2026, Vol. 19 Issue 10, p2460. 18p. |
| Subject Terms: | *Particle swarm optimization, *Dynamic stability, *Electric inverters, *Current limiters, *Electric power system stability, *Electric power system faults, *Synchronous generators |
| Abstract: | When a fault occurs in the power grid to which the Virtual Synchronous Generator (VSG) is connected, it leads to overcurrent phenomena, which threatens the safety of the inverter and easily results in device damage. Although existing direct current limiting unit (CLU) control strategies can restrict the fault current, the input active power command far exceeds the power output, causing the virtual rotor to continuously accelerate. This leads to power angle divergence and a subsequent loss of synchronization. To address the conflict between direct current-limiting control and system transient stability, this paper proposes a control strategy based on the Particle Swarm Optimization (PSO) algorithm to modify the active power command, building upon existing direct current-limiting VSG control. During grid faults, the output current is constrained to its maximum value, leading to a reduction in the system's output power. By leveraging the PSO algorithm, the proposed strategy decreases the active power command to minimize the power mismatch between the command and the output. This maximizes the system's transient stability by minimizing the rotor acceleration torque and effectively suppressing excessive power angle deviation. Meanwhile, the active power command reduction is introduced as a penalty term to maximize the active power output capability during the fault period. Simulation results demonstrate that, compared to VSG with only direct current-limiting control, the proposed strategy significantly enhances the transient stability and transmission efficiency of the VSG under long-term fault conditions across various grid voltage sag scenarios. Furthermore, it ensures a seamless transition from the fault state to normal operation during short-term faults. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 194141574 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Particle Swarm-Based Active Power Command Correction Virtual Synchronous Generator Control for Inverters with Current Limiting Capability and Enhanced Transient Stability. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+Qiang%22">Wang, Qiang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shi%2C+Min%22">Shi, Min</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lv%2C+Hao%22">Lv, Hao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Fei-Fei%22">Zhang, Fei-Fei</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gao%2C+Yan%22">Gao, Yan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> gaoy3@he.sgcc.com.cn</i><br /><searchLink fieldCode="AR" term="%22Lv%2C+Chen-Miao%22">Lv, Chen-Miao</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yin%2C+Xiao-Qi%22">Yin, Xiao-Qi</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yan%2C+Juan%22">Yan, Juan</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. May2026, Vol. 19 Issue 10, p2460. 18p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Particle+swarm+optimization%22">Particle swarm optimization</searchLink><br />*<searchLink fieldCode="DE" term="%22Dynamic+stability%22">Dynamic stability</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+inverters%22">Electric inverters</searchLink><br />*<searchLink fieldCode="DE" term="%22Current+limiters%22">Current limiters</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+power+system+stability%22">Electric power system stability</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+power+system+faults%22">Electric power system faults</searchLink><br />*<searchLink fieldCode="DE" term="%22Synchronous+generators%22">Synchronous generators</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: When a fault occurs in the power grid to which the Virtual Synchronous Generator (VSG) is connected, it leads to overcurrent phenomena, which threatens the safety of the inverter and easily results in device damage. Although existing direct current limiting unit (CLU) control strategies can restrict the fault current, the input active power command far exceeds the power output, causing the virtual rotor to continuously accelerate. This leads to power angle divergence and a subsequent loss of synchronization. To address the conflict between direct current-limiting control and system transient stability, this paper proposes a control strategy based on the Particle Swarm Optimization (PSO) algorithm to modify the active power command, building upon existing direct current-limiting VSG control. During grid faults, the output current is constrained to its maximum value, leading to a reduction in the system's output power. By leveraging the PSO algorithm, the proposed strategy decreases the active power command to minimize the power mismatch between the command and the output. This maximizes the system's transient stability by minimizing the rotor acceleration torque and effectively suppressing excessive power angle deviation. Meanwhile, the active power command reduction is introduced as a penalty term to maximize the active power output capability during the fault period. Simulation results demonstrate that, compared to VSG with only direct current-limiting control, the proposed strategy significantly enhances the transient stability and transmission efficiency of the VSG under long-term fault conditions across various grid voltage sag scenarios. Furthermore, it ensures a seamless transition from the fault state to normal operation during short-term faults. [ABSTRACT FROM AUTHOR] |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en19102460 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 2460 Subjects: – SubjectFull: Particle swarm optimization Type: general – SubjectFull: Dynamic stability Type: general – SubjectFull: Electric inverters Type: general – SubjectFull: Current limiters Type: general – SubjectFull: Electric power system stability Type: general – SubjectFull: Electric power system faults Type: general – SubjectFull: Synchronous generators Type: general Titles: – TitleFull: Particle Swarm-Based Active Power Command Correction Virtual Synchronous Generator Control for Inverters with Current Limiting Capability and Enhanced Transient Stability. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Qiang – PersonEntity: Name: NameFull: Shi, Min – PersonEntity: Name: NameFull: Lv, Hao – PersonEntity: Name: NameFull: Zhang, Fei-Fei – PersonEntity: Name: NameFull: Gao, Yan – PersonEntity: Name: NameFull: Lv, Chen-Miao – PersonEntity: Name: NameFull: Yin, Xiao-Qi – PersonEntity: Name: NameFull: Yan, Juan IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 19 – Type: issue Value: 10 Titles: – TitleFull: Energies (19961073) Type: main |
| ResultId | 1 |
