branch detail

Power Electrical and Electronic Engineering

FEKTAbbreviation: PKA-SEEAcad. year: 2017/2018Specialisation: -

Programme: Electrical Engineering and Communication

Length of Study: 4 years

Accredited from: 25.7.2007Accredited until: 31.12.2020

Profile of the branch

The goal of the postgradual doctoral (PhD) study is the education for scientific work in the area of power electrical engineering and power systems. Graduates of PhD find occupation either as scientific or research workers including industrial development, either as universty teachers and in higher manager functions as well

Key learning outcomes

PhD-graduate obtains high theoretical knowledge and will learn to solve complicated scientific and technological problems by oneself PhD-graduate is ready for further professional rise with a high degree of adaptivity Graduates of PhD find occupation either as scientific or research workers including industrial development, either as universty teachers and in higher manager functions as well

Occupational profiles of graduates with examples

The graduate obtains broad knowledge of subject of high power engineering. The knowledge is build mainly on theoretical background of the subject. Moreover the graduate will obtain deep special knowledge aimed in direction of his/her thesis. The graduate will be able to perform scientific and/or applied research based on up to date theoretical knowledge. The graduate will be able to organize and lead a team of researchers in the studied subject.

Programme supervisor

Issued topics of Doctoral Study Program

  1. Modeling of current interruption in electric fuses

    Electric fuses are protection elements widely used in low- and medium voltage power distribution networks. Fuses are typically designed to have fuse elements as segmented thin metal conductors that are embedded in silica sand. Due to over currents and short circuit currents the fuse elements are heated up and melted, an electric arc is ignited. Thus the mode of operation can be separated into a pre-arcing and a arcing phase. In the arcing phase the generated plasma is interacting with the filler medium (sand) and the fault energy is stored in the sand, leading to melting of the sand. The morphometric properties of the filler have an influence on the arc plasma, e.g. the plasma composition, thermodynamic and transport properties. The approach for this thesis is to first identify existing modeling approaches and evaluate from a numerical and result quality point of view. Starting point are existing arc models that are developed mainly for atmospheric gas discharge, but have limited validity in this application. As a second step a suitable model should be adopted or implemented and the identified model shortcomings should be addressed. The necessary transport, thermodynamic and absorption coefficients for the metal vapor and silica sand mixture need to be gathered. As a third step the model is applied to predict the interruption process for a specified fuse. By means of comparison of test results and simulation results the model accuracy and sensitivity is evaluated.

    Tutor: Kloc Petr, Mgr., Ph.D.

  2. Modeling of switching arcs in mineral oil

    Mineral oil is used as an insulation medium in medium voltage power distribution equipment, like transformers or pad mount switchgear. In different applications switching is performed by means of electromechanical contacts that are submerged in mineral oil. During contact opening, an electric arc is formed and energy is transferred into the mineral oil, mainly by heat conduction and radiation. As a result, mineral oil is vaporized and gas bubbles are formed that are interacting with the oil. Close to current zero, the gas bubble starts collapsing since the energy input is decreasing. This will change the plasma conditions like pressure and temperature, which influences the plasma decay and therefore the dielectric recovery. The main goal of the thesis is to develop and implement a stable and performant multiphase flow solver in order to be able to simulate the complex interactions that occur during arc switching/arc interruption in mineral oil. This includes the modeling of phase change (oil  oil vapor) and determining the necessary thermodynamic, transport and radiation properties. Starting point are existing arc models that are developed mainly for atmospheric gas discharged, but have limited validity in this application. In a second step the processes during recovery should be investigated, since a prediction of successful interruption is determined by the rise of transient recovery voltage vs. dielectric recovery. In a third step the model accuracy and sensitivity is evaluated by comparison with actual test results.

    Tutor: Kloc Petr, Mgr., Ph.D.

Course structure diagram with ECTS credits

1. year of study, winter semester
DBM1AAdvanced methods of processing and analysis of imagesen4winterOptional specializedDrExyes
DTK2AApplied cryptographyen4winterOptional specializedDrExyes
DET1AElectrotechnical materials, material systems and production processesen4winterOptional specializedDrExyes
DFY1AJunctions and nanostructuresen4winterOptional specializedDrExyes
DEE1AMathematical Modelling of Electrical Power Systemsen4winterOptional specializedDrExyes
DME1AMicroelectronic Systemsen4winterOptional specializedDrExyes
DRE1AModern electronic circuit designen4winterOptional specializedDrExyes
DAM1ASelected chaps from automatic controlen4winterOptional specializedDrExyes
DVE1ASelected problems from power electronics and electrical drivesen4winterOptional specializedDrExyes
DTE1ASpecial Measurement Methodsen4winterOptional specializedDrExyes
DMA1AStatistics, Stochastic Processes, Operations Researchen4winterOptional specializedDrExyes
DJA6AEnglish for post-graduatescs4winterGeneral knowledgeDrExyes
1. year of study, summer semester
DMA2ADiscrete Processes in Electrical Engineeringen4summerOptional specializedDrExyes
DME2AMicroelectronic technologiesen4summerOptional specializedDrExyes
DRE2AModern digital wireless communicationen4summerOptional specializedDrExyes
DTK1AModern network technologiesen4summerOptional specializedDrExyes
DTE2ANumerical Computations with Partial Differential Equationsen4summerOptional specializedDrExyes
DET2ASelected diagnostic methods, reliability and qualityen4summerOptional specializedDrExyes
DAM2ASelected chaps from measuring techniquesen4summerOptional specializedDrExyes
DBM2ASelected problems of biomedical engineeringen4summerOptional specializedDrExyes
DEE2ASelected problems of electricity productionen4summerOptional specializedDrExyes
DFY2ASpectroscopic methods for non-destructive diagnostics en4summerOptional specializedDrExyes
DVE2ATopical Issues of Electrical Machines and Apparatusen4summerOptional specializedDrExyes
1. year of study, both semester
DQJAAEnglish for the state doctoral examcs4bothCompulsoryDrExyes