Type of studies | Title |
---|---|
Doctoral Academic Studies | Power, Electronic and Telecommunication Engineering (Year: 1, Semester: Summer) |
Category | Scientific-professional |
Scientific or art field | Electroenergetics |
ECTS | 10 |
The main goal of the course is to gain knowledge about the optimal planning of distribution network drive on a daily, weekly, monthly and annual basis.
Knowledge of plant distribution networks. Knowledge of mathematical optimization procedures applied in the processing of distribution networks.
Modern methods of forecasting consumption: Basic statistics. Regression analysis. Correlation theory. The analysis of time series. Methods of artificial intelligence. Forecast of spatial distribution of consumption. Rates and billing of electricity: Expense access. Tariff Classification. Applications in various countries. Trip distributed generators: micro / mini hydropower plants. Gas plant. Solar power. Wind turbine farms and others. Application of modern methods of distribution network planning facilities: Radial and complex Feeder. Influence of Var / Volt regulation. Distribution transformer station. Locating the source transformer station and expansion of distribution networks. Software packages for planning. Modern systems for distribution networks control (DMS): Design. Databases. Software environment. Interacting with the user. Network Management. Analytical energy functions. Application of modern optimization techniques to solve the basic energy function is a DMS: optimization techniques (linear and nonlinear programming, search methods, methods of artificial intelligence, convex programming, etc.). Energy function (forecast load, power flow, power restoration, reconfiguration of network control, load control, excess control, and other). Part of the teaching activity on the subject is a self-study research in the field of facility planning and optimization of distribution networks. Study research includes active monitoring of the primary scientific sources, organization and execution of experiments and statistical data processing, numerical simulation, writing a paper with the topic close to the scientific and teaching area of the subject of student`s doctoral dissertation.
Lectures and mentoring (consultation). Study research.
Authors | Title | Year | Publisher | Language |
---|---|---|---|---|
* * * | 2002 | English | ||
2003 | English | |||
1994 | English | |||
2001 | English | |||
2005 | English | |||
2004 | English | |||
1997 | English | |||
2005 | English | |||
2004 | English | |||
2005 | English | |||
2004 | English | |||
1999 | English | |||
1998 | English | |||
2002 | English | |||
2002 | English | |||
2000 | English |
Course activity | Pre-examination | Obligations | Number of points |
---|---|---|---|
Project | Yes | Yes | 50.00 |
Oral part of the exam | No | Yes | 50.00 |
Associate Professor
Full Professor
© 2024. Faculty of Technical Sciences.
Address: Trg Dositeja Obradovića 6, 21102 Novi Sad
© 2024. Faculty of Technical Sciences.