Evaluation of Reactive Power and Voltage Support Capability of Power Grid Based on Big Data

With the development of new energy power grid construction, the failure of the power grid and the accidents caused by the collapse of the whole network are increasing, which are mainly attributed to the voltage drop of the power grid caused by reactive power shortage. Therefore, it is necessary to evaluate the reactive voltage support capacity of the power grid, customize quantitative indexes based on the evaluation content, and conduct data mining for the massive data in the operation of the power grid to form visual data content for operation and maintenance personnel to maintain and monitor the power grid. Based on the above background and with the clustering method as the technical core, this paper formulated the evaluation system of power grid reactive voltage support capability based on big data to carry out technical evaluation of power grid reactive voltage support capability. On this basis, this article establishes a complete set of reactive voltage support capability evaluation systems through the basic framework of data mining to improve the versatility of the indexes by optimizing the correlation coefficient and adding dynamic correlation indexes to adapt to multiple data sample categories.