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Area of study : 13.03.02 Electric power engineering and electric equipment
Major: Digital technologies in the electric power industry
Duration: 4 years
Start: September 1
Admission: open
Language : English
Entrance exams: Mathematics, Physics or Computer science and information and communication technologies
The profile “Digital Technologies in the Electric Power Industry” was developed at the request of leading industry enterprises. These companies are on the path to implementing “smart energy” solutions and need specialists with knowledge in the field of information technology, digital transformations in the electric power industry and mastery of modern software products used in the design and analysis of energy facilities. During the training, students will master the skills of working with special programs.
The knowledge that graduates of the Faculty of Energy receive with a profile in “Digital Technologies in the Electric Power Industry” allows them to work in leading generating, transmission power grid, installation and commissioning, operational dispatch, sales and design energy organizations in Russia, as well as in countries near and far abroad. The advantages of the training profile “Digital Technologies in the Electric Power Industry” are that in addition to basic knowledge in special disciplines in the field of “Electrical Power and Electrical Engineering”, students receive advanced knowledge in the field of digital technologies.
"Regional Electric Networks", "Siberian Generating Company", "Novosibirsk Energosbyt", RusHydro — Novosibirsk HPP", LLC "Modular Tornado Systems", PJSC "Interregional Distribution Grid Company of Siberia", and many others requested the development of "Digital technologies in the electric power industry." These businesses are pursuing smart energy solutions and require specialists with knowledge of information technology, digital transformations in the electric power industry, and modern software products used in the design and analysis of energy facilities. Students will learn how to work with special programs such as RastrWin, EUROSTAG, automated calculation of relay protection and automation settings, the automated workplace of a relay protection and automation specialist, Model Studio CS, EnergyCS, and many others during their studies. Graduates can work in leading electric power enterprises dealing with generating, transmitting, installing and commissioning, dispatching, selling, and design in Russia and other countries.
Students receive advanced knowledge in the following areas in addition to basic knowledge in special disciplines:
- Programming languages and technologies
- Databases
- Digital signal processing
- Human-machine interfaces designing
- Corporate information systems
- Intelligent systems in the electric utility industry: conceptual foundations
- Digital substations
- Digital technology and control microcontrollers in the electric utility industry
- Software tools of the professional activity
- Intelligent systems in the electric utility industry: new solutions and technologies
- Commercial dispatching
- Automatic regulation in the digital electric utility industry
- Intelligent accounting and measurement in the electric utility industry
- Automated control systems in the digital electric utility industry
- Cybersecurity in the electric utility industry
- Network technologies in electric power facilities
Graduates are in high demand at the companies dealing with energy generation, electric grid, energy repair, energy sales, design, and engineering enterprises.
- Activities within project operations
- AI systems in the electric power industry. Digital substation
- AI systems in the electric power industry: new solutions and technologies
- AI systems in the electric utility industry
- Application of artificial intelligence methods to energy facility management problems
- Automated control system in digital electric utility industry
- Closed-loop control in the digital electric utility industry
- Computer-aided engineering in the electric utility industry
- Database
- Electrical and electronic apparatus
- Electrical and Structure material science
- Electrical equipment for renewable energy installations
- Electrical system and grid
- Electrics at power stations and substations
- Electromagnetic compatibility in the electric utility industry
- Foundation of electrophysics in the electric utility industry
- Industrial electronics
- Information technology and programming fundamentals
- Information-measuring Technique
- Mathematical problem in electric power
- Methods of digital signal processing in power utility systems
- Modelization in the electric power industry
- Networking technology at electricity generation facilities
- Physico-mathematical foundations of the electric utility industry
- Power supply systems
- Probability theory and mathematical statistics
- Project activities
- Protective relaying and automation engineering
- RESOP (Renewable Sources of Power)
- Smart metering in the electric utility industry
- Software tools for professional activity
- Solutions and technologies of programming in the electric utility industry
- Transients in electric power systems
- Vadim Manusov
- Anastasia Rusina
- Alexander Ovsyannikov
- Dmitry Pavlyuchenko
- Svetlana Rodygina
- Analysis of measures to reduce energy losses in distribution networks
- Analysis of ways to reconstruct the power supply system for consumers in hard-to-reach settlements of Yakutskenergo
- Analysis of the operating modes of the radial section of the 110-kW electrical network to select the settings for the microprocessor protection of lines
- Analysis of the static stability of the power system
- Analysis of the efficiency of the energy storage to improve the quality of electricity
- Choice of operation parameters for the complex of backup protections for the C6 line from the side of NTEC-4
- Choice of operation parameters for relay protection of a 110 KW network section with a two-sided power supply using an automated complex for calculating settings
- Study of energy storage control algorithms to improve the reliability of wind farms
- Research and analysis of the power supply system of a residential area
- Study of the efficiency of transferring transformer points to consumers in distribution networks
- Study of the effectiveness of the use of energy storage for voltage control in the power system
- Assessment of the feasibility of using non-traditional energy sources for generating electricity
- Improving the quality of electricity with the non-linear nature of the load
- Increasing power transmission throughput capacity at Sayano-Shushenskaya Dam - Novokuznetsk
- Forecasting the residual life of transformers based on monitoring data
- Development of a load model for an electrodynamic model
- Development of a model for predicting electricity consumption using artificial intelligence
- Development of a model of the daily load schedule for calculating the normal mode on the example of the Pamir power system
- Creating an excitation controller for an electrodynamic synchronous machine
- Development of a system for oscillography of regime parameters of an electrodynamic system
- Development of a method for determining damage locations using neural networks
- Development of technical solutions for backup protection of lines with two-way power supply from all types of short circuits
- Development of a physical model of an overhead power line with a voltage of 10 kw to study the process of a single-phase earth fault
- Development of digital protection against increasing the frequency of the generator of the educational power plant
- Stabilization of frequency in the power system during load fluctuations
- Admission starts on June 20
- Admission stops on July 10
- The documents are sent to the university in electronic form through the NSTU Enrolee Personal Account. When submitting an application for admission in electronic form, the documents attached to it are submitted (sent) to the NSTU admission committee in the form of their electronic images (paper documents converted into electronic form by scanning or photographing with the provision of machine-readable recognition of its details)