Faculty of Technical Sciences

Subject: Smart electricity grids (17.DE405)

Native organizations units: Department of Power, Electronic and Telecommunication Engineering
General information:
 
Category Scientific-professional
Scientific or art field Electroenergetics
ECTS 10

The main course objective is acquiring knowledge on modern management methods in power engineering networks. Advanced systems of automation, remote controlling and operation optimization and plant planning, together with smart systems for consumption and production management are the basis of “smart grids”. The objective is to obtain knowledge on models of the stated smart grid components.

Knowledge on models of smart grid components. Knowledge on integrated management systems of power networks (SCADA, DMS, OMS, EMS), remote systems, systems o power consumption (Demand Response) and system for optimal management of distributed generators on renewable energy sources.

Integrated management systems (SCADA, DMS, OMS, EMS), remote systems, systems for consumption management (Demand response) and systems for optimal management of distributed generators for renewable energy sources (Distributed Generators). Business analysis, investment costs and smart grid using, benefits of using smart grids and technical and economic analysis. Part of the course is based on the independent study and research work in the field of regulation of electric power industry in the free market economy. Study and research work is based on the primary scientific sources, organization and conduction of experiments as well as statistical analysis of data, numerical simulations, and writing a paper on the narrow scientific area in which doctoral dissertation is based.

Lectures. Consultation. Study and research work.

Authors Title Year Publisher Language
Course activity Pre-examination Obligations Number of points
Oral part of the exam No Yes 50.00
Project Yes Yes 50.00

Assoc. Prof. Popović Željko

Associate Professor

Lectures

Prof. Popović Dragan

Full Professor

Lectures

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

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(+381) 21 6350 413

Fax : (+381) 21 458 133
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© 2024. Faculty of Technical Sciences.