AI-Enabled Centralized Automation for Switching-Based Restoration and Operating-Mode Optimization in DER-Rich Power Districts
The digital transformation of distribution networks is changing the requirements for post-emergency management. The high proportion of distributed energy resources (DER) and controlled loads creates uncertainty in operation and complicates the restoration of power districts. Improving the reliability of automatic restoration of normal power system operation in power districts that include DER is becoming increasingly important. Therefore, a centralized automation system for restoring power district operation is proposed. The application of the developed intelligent method for optimizing power district topology and the implementation of a centralized automation model not only solves this problem but also improves the reliability of normal power system operation in power districts that include DER. © 2026 IEEE.
Библиографическая ссылка
Gurina L.A., Kulikov, Aleksandr, Tomin N.V. AI-Enabled Centralized Automation for Switching-Based Restoration and Operating-Mode Optimization in DER-Rich Power Districts // Proceedings - 2026 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2026. P.130-135. DOI: 10.1109/ICIEAM69213.2026.11549618
