An Aggregation Modeling Method of Large-scale Wind Farms in Power System Transient Stability Analysis

Abstract

The operation states of wind turbines of large-scale wind farms are not identical due to the influence of voltage distribution and wake effect, etc.. So the accuracy of traditional single-machine dynamic aggregation model of wind farms is hard to meet the demand of security and stability analysis of power system with large-scale wind power integration. In order to improve the credibility of transient stability analysis of power systems. A simple fixed-scale clustering method of wind turbines was proposed, which takes “the sensitivity of the wind turbines affected by power systems fault” as the grouping index. Based on the clustering method, the aggregation modeling method of wind turbines and power collection system was proposed. In addition, the detailed model, multi-machine aggregation model and dual-machine aggregation model were established by taking an actual grid-connected large-scale wind farm as an example. And the validity and reliability of the proposed aggregation modeling method of wind farms were verified by simulation analysis.