Development and research of an intelligent diagnostic system for equipment of electric power complexes

Abstract

Intelligent systems represent a new direction in the electrical power industry, and training students in this area requires appropriate updating of curricula and laboratory equipment. In this regard, it is necessary to create educational and research complexes in special disciplines to train specialists in intelligent electric power systems. This article presents an educational and research laboratory complex with elements of artificial intelligence for diagnosing the technical condition of equipment in electric power complexes. A free version of the IDE was used as an integrated development environment, which provides the basic functions and tools necessary for developing and debugging Python projects. The software part of the complex has been developed, including a digital twin of the laboratory installation, an executive part and a neural network model.