Research on Aggregated Modeling of Wind Farms Considering Dynamic Coupling Characteristics and Stability Optimization in Weak Grid Environments
DOI:
https://doi.org/10.13052/spee1048-5236.4525Keywords:
Wind Farm, Grid-Forming, Grid-Following, Aggregation Modeling, Short-Circuit RatioAbstract
The application of Grid-Forming (GFM) and Grid-Following (GFL) controllers has effectively enhanced the strength of increasingly weakened power system. However, the inherent high-order and nonlinear characteristics of wind farm models pose numerous challenges to the simulation and analysis of the dynamic stability of modern power systems.
To address these challenges, this paper proposes an innovative aggregated modeling approach for wind farms, which enables large-scale simulation and serves as a powerful tool for modern power system stability analysis. Based on the distinct Thevenin equivalent circuits of GFL and GFM units, this study introduces their respective rotor current and stator voltage weighting coefficients for the aggregation of wind turbines operating under different control modes. The constructed model can accurately represent wind farm dynamic characteristics across varying grid strengths and fault conditions. To verify the proposed model’s effectiveness, this paper compares the accuracy of the modal aggregation method against other multi-machine representation methods under Fault Ride-Through (FRT) conditions. Results demonstrate a significant reduction in errors between the proposed aggregation model and detailed model in the pre-fault, fault-on and post-fault stages. In addition, the aggregated model is utilized to investigate the port characteristics of wind farms with different GFM-GFL unit proportions. It is shown that a reasonable increase in the proportion of GFM and GFL units can significantly enhance the operational stability of wind turbines under low Short-Circuit Ratio (SCR) conditions, and effectively expand their stable operating range in weak grid environments.
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