Development of an Equivalent Wind-Farm Model for Frequency Regulation

Abstract

The operational security of power systems for wind farm integration becomes more important as the penetration of wind generation increases. A wind farm may contain hundreds of wind turbines (WT) and thus the power system simulations based on the complex model of a WT consumes much time. This paper proposes an equivalent wind farm model with the frequency-regulation function. The main research works include the establishment of the generic model of a WT, the development of single-and multi-machine equivalent models for a large wind farm, the clustering of WTs based on the developed nonlinear wake model and the Fuzzy C-means(FCM) clustering algorithm, the integration of the frequency-regulation function into the equivalent wind farm (WF) model, and the validation of the developed equivalent WF model by various operating scenarios. The results demonstrate that the proposed multi-machine equivalent method based on the FCM clustering provides a more accurate model than a single-WT equivalent model. Consequently, the research results provides a solution for simulating a large-scale wind power integration, providing efficient, accurate, and fast steady-state and dynamic analyses.