The support vector machine application in the implementation of multidimensional relay protection

Power engineering digital transformation, the use of different intelligent electronic devices (IEDs), high-speed communication protocols provide extensive opportunities for relay protection and automation systems modernization of power utilities. One of the most promising avenues of power engineering development is design of new protection devices, whose principles are based on the elements of artificial intelligence and machine learning. The article discusses the features of the application of one of the most common machine learning algorithms, the support vector machine, by the example of constructing a three-dimensional fault detector, which would serve to increase a transmission line stepped protection selectivity. The proposed fault detector has high recognition ability and ease of technical implementation as part of the protection IED