Feasible region state space mapping evaluation method for droop and inertia support coefficients of wind farm

By using an online collaborative iterative evaluation framework and constructing a linear function relationship using historical wind farm data, the coupling problem in the feasible region evaluation of wind farm droop-inertia coefficient is solved. This enables rapid and accurate evaluation of wind farm frequency regulation capability, reduces communication and computational burden, and supports real-time optimization of the power system.

CN119029850BActive Publication Date: 2026-09-11TIANJIN UNIV
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Patent Information

Application Number
CN202411118215.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-08-15
Publication Date
2026-09-11
Estimated Expiration
2044-08-15

AI Technical Summary

Technical Problem

Existing technologies cannot effectively consider the coupling relationship between wind farms when evaluating the feasible region of wind farm droop-inertia coefficient, resulting in inaccurate frequency dynamic changes. Furthermore, they rely on centralized models and historical data, which imposes a heavy communication burden and prevents real-time response.

Method used

By constructing a collaborative iterative evaluation framework between wind farms and power system operators, and utilizing operational data from historical databases, a linear functional relationship is established between wind turbine final speed, wind turbine maximum power, wind farm droop coefficient, wind farm inertia support coefficient, wind speed, power system droop coefficient, and power system inertia coefficient. Online collaborative iterative evaluation of the feasible region of wind farm droop and inertia support coefficient is then conducted.

Benefits of technology

It achieves a fast response that does not depend on the accuracy of static model parameters, reduces the computational and communication burden on the system side, can accurately evaluate the feasible region of the droop-inertia frequency regulation coefficient of the wind farm, and supports real-time optimization of primary frequency regulation capability.

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Abstract

The application discloses a wind farm droop and inertia support coefficient feasible region state space mapping evaluation method, wherein historical database operation data participating in primary frequency modulation is utilized on the wind farm side to construct a state space mapping linear function relationship formula among the wind farm droop coefficient, the wind farm inertia support coefficient, the wind speed, the power system droop coefficient and the power system inertia coefficient in the process of primary frequency modulation and inertia support, and the final speed of the wind turbine and the maximum power of the wind turbine; real-time wind speed of the wind farm and received power system droop and inertia parameters are measured, the linear function relationship formula among the above variables is utilized, the wind turbine final speed limit and the wind turbine power limit are considered, the wind farm droop and inertia support coefficient feasible region boundary is evaluated online, and the power system operation side is reported; the power system operation side updates the system coefficient and issues each wind farm, and the optimal droop-inertia frequency modulation coefficient feasible region of each wind farm and the power system where the wind farm is located is solved.
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