基于事件驱动的电力系统频率安全指标评估方法及系统
By employing an event-driven method for evaluating power system frequency security indicators, and utilizing open-loop decoupling and piecewise analytical models, the problem of speed and accuracy in power system frequency security assessment under high-proportion renewable energy access is solved, achieving efficient frequency security assessment that is applicable to modern low-inertia power grids.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HUNAN UNIV
- Filing Date
- 2026-05-26
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to quickly and accurately assess frequency security indicators in power systems, especially when a high proportion of renewable energy is integrated. Traditional methods are time-consuming or lack sufficient accuracy, while artificial intelligence methods have poor physical interpretability, making it difficult to meet the reliability and traceability requirements of power systems.
An event-driven method for evaluating power system frequency security indicators is adopted. By using an open-loop decoupling strategy, the closed-loop swing equation is transformed into a parameterized system frequency trajectory function. Combined with an event-driven piecewise analytical model and iterative solution algorithm, the minimum frequency point and the rate of frequency change are accurately analyzed. An analytical solution framework based on matrix exponents is constructed to handle high-order nonlinear elements.
It enables rapid and accurate assessment of frequency security indicators in power systems with a high proportion of renewable energy integration, improving calculation speed by tens of times while maintaining mathematical rigor and physical clarity, and is suitable for online assessment of modern low-inertia power grids.
Smart Images
Figure CN122267812B_ABST