Method and device for evaluating local inertia supporting capability of new energy delivery type AC / DC power system
By establishing a parameterized differential-algebraic equation model and a hybrid automata model, the problem of spatiotemporal heterogeneity of inertia in AC/DC power systems for new energy transmission was solved, enabling accurate identification and risk assessment of weak inertia regions and improving the accuracy and predictive ability of system stability assessment.
Patent Information
- Application Number
- CN202511840427.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-08
- Publication Date
- 2026-04-21
AI Technical Summary
Traditional methods cannot identify and assess the spatiotemporal heterogeneity of inertia in AC/DC power systems that transmit new energy sources to other regions, which leads to the inability to accurately identify areas with weak local inertia support capabilities, and consequently causes HVDC commutation failure or protection malfunction.
A parameterized differential-algebraic equation model of new energy power generation equipment including synchronous generator and converter interface is established. The inertia distribution matrix is derived using the generalized energy framework. Combined with the hybrid automata model, the dynamic evolution trend of the inertia weak region is predicted, and the mapping relationship between inertia support capacity and commutation failure risk of high voltage DC converter station is evaluated.
It enables accurate identification and risk assessment of areas with weak local inertia support capacity, reveals the direct link between inertia distribution and DC stability, can predict future risk trends, and provides stability margin assessment.