Abstract
The dynamic equivalence of wind farms is widely used for model simplification. While, the accuracy will be lower without considering the influence of wind speed correlation caused by topography and wake effect. In order to improve the accuracy, this paper proposes a dynamic cluster equivalence method of coherent generators based on hierarchical clustering analysis. Firstly, it analyses the impacts of equivalence’s accuracy such as wind speed distribution, wake effect and control strategy of turbine. Then, it uses hierarchical clustering method to correlate the disturbed trajectory of rotor current of the intra-site turbines and obtains the dynamic clustering results. Finally, it uses power loss method to obtain the equivalent parameters of multi-machine equivalent model. Simulation results verify the effectiveness of this method.
Highlights
As the scale of wind farms grows, we focus on the impact of dynamic characteristics on the system
Due to the difference of the control method of turbines caused by complex terrain, there is a certain difference between the dynamic characteristics of turbines in a large-scale wind farm
This paper proposes a dynamic clustering equivalent method that takes into account the intra-site complex terrain
Summary
As the scale of wind farms grows, we focus on the impact of dynamic characteristics on the system. The single-machine equivalent method is to equalize a wind farm into a wind turbine. Due to the difference of the control method of turbines caused by complex terrain, there is a certain difference between the dynamic characteristics of turbines in a large-scale wind farm. References [7,8,9] research the division of the coherent turbines composed of doubly fed induction generators (DFIG) It uses the transient trajectory of the turbines’ voltage or rotor current to cluster. This paper proposes a dynamic clustering equivalent method that takes into account the intra-site complex terrain. The accuracy of the model is verified by the simulation of MATLAB/Simulink
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