Coordinated Transient Voltage Support Considering Induction Motor Dynamics in PV-Integrated Distribution Networks Under Symmetrical Faults

During symmetrical faults in photovoltaic (PV)-integrated distribution networks, induction motor (IM) deceleration elevates reactive-power demand and delays post-fault voltage recovery, whereas conventional voltage-driven support can withdraw prematurely upon initial voltage rebound. To resolve this mismatch, this paper proposes a coordinated transient voltage support (CTVS) strategy that explicitly incorporates IM electromechanical dynamics. A coupled differential-algebraic equation (DAE) model integrating third-order IM dynamics, distributed PV (DPV) DC-link dynamics, and network power balance is formulated, from which a trajectory-local closed-loop Q–V sensitivity is derived to characterize location-dependent support effectiveness. The CTVS controller coordinates critical-bus voltage magnitude, voltage-decrease rate, and rotor slip through fixed spatial participation coefficients under local converter current limits and DC-link voltage feedback. Case studies on a modified IEEE 33-bus feeder under Bus-32 three-phase faults demonstrate that, for the representative 140 ms fault, CTVS suppresses post-fault secondary voltage depression and reduces the sustained recovery delay to 23.85 ms, compared with 342.30 ms for local low-voltage ride-through and 390.85 ms for adaptive Q–V droop control. Matched ablations identify slip-conditioned support persistence as the principal contributor to sustained voltage recovery, whereas the fixed spatial coefficients provide a local allocation advantage under unsaturated conditions rather than a separate large-disturbance recovery benefit under the tested conditions.

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Publication Details

Journal
Symmetry
Published
2026-11-05
DOI
https://doi.org/10.3390/sym18111859
Primary Topic
Microgrid Control and Optimization
Type
article
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article

Coordinated Transient Voltage Support Considering Induction Motor Dynamics in PV-Integrated Distribution Networks Under Symmetrical Faults

Wenxiang Xu, Yi Wang, Cheng Wang, Yichen Zhou et al.
Symmetry
Microgrid Control and Optimization
article

Coordinated Transient Voltage Support Considering Induction Motor Dynamics in PV-Integrated Distribution Networks Under Symmetrical Faults

Wenxiang Xu, Yi Wang, Cheng Wang, Yichen Zhou, Tao Zhou
article en

Abstract

During symmetrical faults in photovoltaic (PV)-integrated distribution networks, induction motor (IM) deceleration elevates reactive-power demand and delays post-fault voltage recovery, whereas conventional voltage-driven support can withdraw prematurely upon initial voltage rebound. To resolve this mismatch, this paper proposes a coordinated transient voltage support (CTVS) strategy that explicitly incorporates IM electromechanical dynamics. A coupled differential-algebraic equation (DAE) model integrating third-order IM dynamics, distributed PV (DPV) DC-link dynamics, and network power balance is formulated, from which a trajectory-local closed-loop Q–V sensitivity is derived to characterize location-dependent support effectiveness. The CTVS controller coordinates critical-bus voltage magnitude, voltage-decrease rate, and rotor slip through fixed spatial participation coefficients under local converter current limits and DC-link voltage feedback. Case studies on a modified IEEE 33-bus feeder under Bus-32 three-phase faults demonstrate that, for the representative 140 ms fault, CTVS suppresses post-fault secondary voltage depression and reduces the sustained recovery delay to 23.85 ms, compared with 342.30 ms for local low-voltage ride-through and 390.85 ms for adaptive Q–V droop control. Matched ablations identify slip-conditioned support persistence as the principal contributor to sustained voltage recovery, whereas the fixed spatial coefficients provide a local allocation advantage under unsaturated conditions rather than a separate large-disturbance recovery benefit under the tested conditions.

SymmetryVol. 18(11)
North China Electric Power University (CN), Nanjing University of Science and Technology (CN), Zhengzhou University (CN)
Openalex Percentile: Top 20%
Microgrid Control and Optimization
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