Study on influence of various wind farm correlations on voltage stability with multidimensional data streams method

Abstract

ABSTRACTRecently, the size of wind farms has been increasing. Large-scale grid-connection of wind farms has a great influence on power system voltage stability. Most of the current research methods consider the correlation of only a single variable, which is not accurate enough for the description of actual production, where there are many variables. This paper presents a multidimensional data stream method to analyze correlations. This method can analyze the correlation degree between wind speed, fan fault, and other variables. It needs only real-time data collected by wind farm, and does not need to construct complicated correlation functions. It overcomes the disadvantage of the state model of traditional wind farms which is not accurate enough, and brings large errors to the analysis results. The method is totally based on measured data so that it is relatively quick and has the potential to be implemented in real-world applications. Then, this method is used to study the influence of correlations on power system voltage stability. A case study based on the standard IEEE 24-bus power system validates the proposed method. Under various working conditions, the numerical simulation results also show that the proposed method has good robustness and applicability.