Abstract
In this article, the results of research on the creation of regime automation based on the WAMS-WACS system on the North-South transit are given. They include the use of new information technologies in the formation of data for assessing the state of the network at the rate of the process, methods and algorithms for controlling the modes of the NES of the Republic of Kazakhstan in real time, forming daily schedules and balance power flows using forecasting based on artificial intelligence. Key words: synchronized vector measurements, stability, mode automation, neural network, artificial intelligence.