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19E024KEE - Power Quality

Course specification
Course title Power Quality
Acronym 19E024KEE
Study programme Electrical Engineering and Computing
Module
Type of study bachelor academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
ESPB 6.0 Status elective
Condition No prerequisites.
The goal Introduction and specification of power quality problems, their sources and effects. Introducing measures and devices to resolve the power quality problems.
The outcome Enabling students for using the various systems for power quality monitoring and evaluation of power system performance. Enabling students to define, choose and apply adequate measures to resolve the power quality problems.
Contents
URL to the subject page http://ees.etf.bg.ac.rs/predmet.php?Id=27
URL to lectures https://teams.microsoft.com/l/team/19%3aSf91slDboVtA7sP6kAmaCx0aKUD8Y1GtRdSqW2v1DBg1%40thread.tacv2/conversations?groupId=688d1974-b92c-4216-882c-b5b80342ccdf&tenantId=1774ef2e-9c62-478a-8d3a-fd2a495547ba
Contents of lectures Significance of power quality in modern power systems. Power quality indices. Overview of Standards. Theoretical processing of harmonics. Powers in the presence of harmonics. Conventional sources of harmonics. Static sources of harmonics. Interharmonics and flickers. Effects of higher harmonics and resonances. Application of capacitors for power factor correction. Passive filters.
Contents of exercises Analysis of power quality measurement systems. Analysis of the results of measurements with respect to available standards. Defining measures to eliminate undesirable phenomena related to power quality.
Literature
  1. J. C. Das, Power System Harmonics and Passive Filter Design, Wiley, 2015. (Original title)
  2. V. Katić, A.Tokić, T. Konjić, "Kvalitet električne energije", knjiga u sklopu EU Tempus projekta (Original title)
Number of hours per week during the semester/trimester/year
Lectures Exercises OTC Study and Research Other classes
2 1 1
Methods of teaching Classical lectures and presentations. Practices include problems analysis, laboratory measurements and computer simulations.
Knowledge score (maximum points 100)
Pre obligations Points Final exam Points
Activites during lectures Test paper 70
Practical lessons 30 Oral examination
Projects
Colloquia
Seminars