With the development of power grid scale and the increase of load, the difference of reactive voltage in different regions is enhancing, and the problem of voltage stability in the center region of the load is increasingly prominent, while high voltage and reactive power surplus are likely to occur in some periods in the lighter load region. It is urgent to comprehensively evaluate the reactive voltage status in multiple regions of the power grid, so as to provide data support for the coordinated control of global reactive power and the interaction between regions. In view of this, an evaluation method based on fuzzy C-means clustering (FCM) and dynamic time warping (DTW) is proposed. In this method, FCM is used to fuzzy cluster the index data of multiple time sections to form the cluster center and extract the average characteristics of the samples. At the same time, DTW is used for pattern recognition of the cluster center data and the reference samples, which can evaluate the voltage support ability of multiple time sections. Taking a typical power grid as an example, the effectiveness of the proposed evaluation method is verified.