Three-objective parameter optimization method for vsg type fan considering dynamic and steady state performance
By establishing a linearized model and a multi-objective optimization model for the VSG direct-drive wind turbine, and using the MOGWO algorithm to optimize the control parameters, the coupling problem between the steady-state and dynamic performance of the VSG wind turbine was solved, thereby improving the wind turbine's operational stability and adaptability.
CN122241967APending Publication Date: 2026-06-19ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID JIBEI ELECTRIC POWER CO LTD +3
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID JIBEI ELECTRIC POWER CO LTD
- Filing Date
- 2026-02-03
- Publication Date
- 2026-06-19
Smart Images

Figure CN122241967A_ABST
Abstract
This invention discloses a three-objective parameter optimization method for VSG-type wind turbines that considers both dynamic and steady-state performance. The method includes: establishing a mathematical model of the VSG-type direct-drive wind turbine and linearizing the turbine's operation process to obtain a linearized model reflecting the relationship between control parameters and the turbine's steady-state power characteristics and dynamic oscillation characteristics; based on the linearized model, constructing a multi-objective parameter optimization model to characterize the turbine's steady-state performance, dynamic performance, and system operating characteristics; solving the multi-objective parameter optimization model while satisfying the constraints on control parameter values to determine the control parameter configuration scheme for the VSG-type direct-drive wind turbine, and applying the control parameters to the turbine control process. This invention enables the synergistic optimization of the wind turbine's steady-state power control performance and dynamic oscillation stability performance within a unified framework.
Need to check novelty before this filing date? Find Prior Art