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A Novel Criterion of Transient Stability Analysis for the Wind Power Grid-Connected System

delete2026-04-01
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PRE
AI
M
Meiling Ma
J
Jinhao Yuan *
H
Han Wang
郑岩 cover
郑岩 (Zheng Yan)
Y
Yanbing Jia
DOI:10.1109/TPWRD.2026.3655797delete
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Abstract

Abstract

En 中文
The large-scale integration of new energy sources into the power grid leads to a low-inertia characteristic of the grid. This weakens the ability of the grid to regulate when disturbed and poses a severe risk of transient instability. Conventional methods of power system stability analysis face the limitation of being overly conservative. This paper adopts a manifold-based stability analysis method, combined with the distribution of singularities, to characterize the boundary of stability domain (BSD) of the system. The domain is mapped onto the unit sphere via central projection transformation, which offers a more intuitive representation of the domain. There is a contradiction between the size of the domain and the dynamic response speed; specifically, increasing the domain may reduce the dynamic response speed. In this paper, a novel criterion of transient stability analysis, namely the singularity invariance criterion (SIC) is proposed. This criterion enables dynamic adjustment of system parameters to avoid the contradiction. The IEEE 39 bus system simulation shows that under the same parameter variation conditions, the SIC-based method can increase TVI/% by 14.84% (BSD size index) and reduce RTVI/% (response speed index) by 14.93%, which is superior to the energy function method. This criterion provides a new theoretical basis for the stability analysis of grid-connected systems.
Keywords:
Power system stability
Doubly fed induction generators
Wind power generation
Transient analysis
Thermal stability
Stability criteria
Generators
Rotors
Numerical stability
Manifolds
Transient stability
stability domain
DFIG
wind power
manifolds
criterion

Journal

IEEE Transactions on Power Delivery cover
IEEE Transactions on Power Delivery
IF:
3.7
Papers:
9.1K
Citations:
2.2W

Organization

S
shanghai jiao tong university
Scholars:
15.1W
Papers: 11.5W
Citations: 159
U
university of shanghai for science & technology
Scholars:
1.3K
Papers: 397
Citations: 0
T
taiyuan university of technology
Scholars:
5.3K
Papers: 1.7K
Citations: 0
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