Summary
Modern electrical substations are increasingly becoming complex technological systems equipped with digital relay protection, monitoring, and control systems. The growing complexity of equipment increases the requirements for the qualification level of operating personnel and raises the risk of erroneous actions that may lead to serious accidents, particularly given the limitations of traditional training methods. Existing theoretical courses and static simulators do not fully replicate real emergency situations, resulting in a high level of abstraction in training and insufficient personnel readiness for abnormal operating conditions.
Read more Read lessTo address this problem, an intelligent emergency training system for substation operating personnel has been developed, based on digital power system simulation and neural network technologies. The system features a modular architecture that includes a power system operating mode mathematical modeling module, a neural network–based dynamic scenario generation module, and a 3D visualization module. The developed system is characterized by adaptive training capabilities and a high level of realism achieved through accurate digital modeling of processes and interactive visualization. The digital simulator platform enables automatic logging of operator actions and their formalized assessment according to predefined criteria. As a result, the application of this intelligent system reduces the conventionality of the training process and enhances the reliability of decision-making by operating personnel under emergency conditions.
Additional informations
| Publication type | Session Materials |
|---|---|
| Reference | B3_12635_2026 |
| Publication year | |
| Publisher | CIGRE |
| Country | Serbia |
| Study committees | |
| File size | 608 KB |
| Price for non member | 30 € |
| Price for member | 30 € |
Authors
PASHKOV Roman - Branch of PJSC «Rosseti – Krasnoyarsk Enterprise of Main Electric Networks Russia
Keywords
