Network configuration type converter reduced order method and device based on singular perturbation-reactive power decoupling
By using the singular perturbation-reactive power decoupling method, the grid-type converter is reduced in order, which solves the complexity problem of high-order models. It achieves the reduction of model order while ensuring the accuracy of dynamic characteristics and stability analysis, and is suitable for power angle stability and voltage dynamic characteristic analysis.
CN121813580BActive Publication Date: 2026-06-02HUAZHONG UNIV OF SCI & TECH
Patent Information
- Authority / Receiving Office
- CN Β· China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HUAZHONG UNIV OF SCI & TECH
- Filing Date
- 2026-03-06
- Publication Date
- 2026-06-02
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Figure CN121813580B_ABST
Abstract
The application belongs to the technical field of power systems, and specifically discloses a network type converter reduced order method and device based on singular perturbation-reactive decoupling. Through the application, the original state space model is converted; based on the singular perturbation strategy, the order reduction processing is performed according to the target variable characteristics; the voltage dynamic equation in the outer loop of reactive power control is processed, the reactive power decoupling is performed by introducing the voltage state variable into the active power control state equation, and the differential equation based on the phase angle relationship is established. Through the above mode, for the fast subsystem electromagnetic dynamic process, the electromagnetic dynamic state variable is processed based on the singular perturbation strategy, the voltage dynamic equation in the outer loop of reactive power control is processed, the high-order dynamic term is eliminated, the main dynamic characteristics in the state space are retained, the model order and the solving complexity are significantly reduced, so that the model order can be systematically reduced under the premise of ensuring the key dynamic characteristics and the stability analysis accuracy.
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