Dynamic Equivalence Modeling Method for Offshore PMSG Wind Farms Based on Improved R-K Clustering Algorithm

To improve the accuracy and precision of the offshore direct-drive wind farm (PMSG) equivalence model, this paper proposes a dynamic equivalence method for offshore PMSG wind farms based on the improved R-K clustering algorithm. The method selects suitable cluster indicators, clusters the indicator data using the improved R- K clustering algorithm, and then equates the offshore PMSG wind farms to multiple wind turbines based on the capacity-weighting method to achieve dynamic equivalence of PMSG wind farms. Finally, to verify the accuracy of the model, a dynamic equivalence model was built on the PSCAD/EMTDC simulation platform and analyzed in comparison with the single machine equivalence model and the detailed model. The simulation results show that the model is in good agreement with the detailed model, and it can reflect the dynamic response characteristics of the PMSG wind farm at the grid connection point accurately.