Novosibirsk state technical university (NSTU) has developed a unique program to improve the reliability of autonomous power supply systems for industrial facilities. The written code is a decision support tool for the design of an electrical network and offers the best option for the placement of equipment.
Nikita Sergeev, an assistant at the Department of Electric Power Plants at NSTU-NETI, presented a program that automatically evaluates the reliability of power supply, identifies load nodes with voltage deviations, and offers optimal options for arranging two types of devices: automatic voltage control points to maintain it at a preset level and reclosers, automatic devices to increase reliability and accelerate power supply restoration.
According to the author, the program simulates emergency shutdowns of network elements and determines the possibility of restoring power supply. "The software simulates emergency situations and calculates the economic damage from them. In case of an emergency, the damaged area is automatically turned off by reclosers, then with their help, the power supply to disconnected consumers is automatically restored by switching on backup power supply routes. And since reclosers are quite expensive devices, the program selects and offers optimal options for choosing the number of reclosers and their placement for reliability. This is especially important for industrial facilities, as an emergency shutdown of equipment leads to loss of oil and gas and corresponding economic damage," the developer said.
The Python program allows you to calculate network parameters, analyze reliability, optimize, and visually compare the network before and after the proposed changes. In a short time, the development calculates and sorts out thousands of options for the arrangement of equipment, after which it offers the most optimal one, which the designer can accept or adjust if necessary. This reduces the complexity of the process of finding the most cost-effective design solutions.
Gazprom Neft experts highly appreciated the domestic development to improve the reliability of autonomous power supply systems for industrial facilities. According to the results of the Scientific and Technical Conference of Young Specialists of the Chief Engineer Unit-2025 in St. Petersburg, Nikita Sergeev's project won the first place.
Earlier, NSTU-NETI developed a program for calculating and designing electrical networks based on the use of evolutionary algorithms and artificial intelligence methods.