Graduate study programme

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Quality and Reliability in Electric Power Systems DEa2-05

ECTS 6 | P 45 | A 15 | L 15 | K 0 | ISVU 149837 | Academic year: 2019./2020.

Course groups

Prikaži sve grupe na predmetu

Course lecturers

MARIĆ PREDRAG, Associate
KLAIĆ ZVONIMIR, Lecturer
PRIMORAC MARIO, Associate
NIKOLOVSKI SRETE, Lecturer

Goals

Introduce students to voltage quality standards, voltage quality parameters, power quality analysis and applications in the power system. Introduce students to probability distributions of voltage events in the power system, reliability indicators of distribution and transmission networks.

Conditions for enrollment

Requirements met for enrolling in the study programme

Course description

Voltage quality standards, voltage quality parameters: voltage variations and flicker, voltage dips and interruptions, voltage swells and overvoltage, harmonics, voltage imbalance. Analysis of power quality measurements and monitoring results. Stochastic evaluation of voltage dips due to short circuits in a power system. Economic effects of a poor power quality. Impact of renewable sources on a power quality. Power quality in smart grids. Probability distribution of the power system operating states (Markov model states of space and probability, frequency and duration of breaks for serial, parallel and mixed component connections). Conditions for operation, repair, disconnection, generator states and consumption states relay. Reliability indicators, reliability indicators distribution networks.

Student requirements

Defined by the Student evaluation criteria of the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek and paragraph 1.9

Monitoring of students

Defined by the Student evaluation criteria of the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek and paragraph 1.9

Obligatory literature

1. 1 Tokić, A; Milardić, V. Kvalitet električne energije PrintCom Tuzla, 2015.

2. 2 Chowdhury, Ali ; Don Kova Power Distribution System Reliability: Practical Methods and Applications.

3. 3 l. Baggini, A. Handbook of Power Quality John Wiley & Sons Ltd, 2008.

4. 4 Zvonimir Klaić Mjerenje i analiza kvalitete električne energije u distribucijskoj mreži prema EN 50160 magistarski rad, Osijek 2006.


Pretraži literaturu na:

Recommended additional literature

1. 1 HRN EN 50160:2012, Naponske karakteristike električne energije iz javnog distribucijskog sustava

2. 2 IEEE std 1159-1995 – IEEE Recommended Practice for Monitoring Electric Power Quality IEEE Standards Board, 1995

3. 3 EURELECTRIC: Power Quality in European Electricity Supply Networks Brussels, 2002.

4. 4 Ph. Feracci Cahier Technique no. 199 – Power Quality Schneider Electric, 2001.

5. 5 V. Mikuličić, Z- Šimić Modeli pouzdanosti i raspoloživosti i rizika u EES-u I dio Kigen, 2008

6. 6 R. Billinton, R.N: Allan Reliability Assesment of Large Electric Power Systems Kluwer Academic Publisher 1988

7. 7 Math H.J. Bollen Understanding Power Quality Problems IEEE Press, Wiley, 2000.

8. 8 Srete Nikolovski Analiza pouzdanosti EES.a Skripta ETF Osijek 1995

Course assessment

Conducting university questionnaires on teachers (student-teacher relationship, transparency of assessment criteria, motivation for teaching, teaching clarity, etc.). Conducting Faculty surveys on courses (upon passing the exam, student self-assessment of the adopted learning outcomes and student workload in relation to the number of ECTS credits allocated to activities and courses as a whole).

Overview of course assesment

Learning outcomes
Upon successful completion of the course, students will be able to:

1. compare international and European standards for power quality and the Grid code of a power system

2. explain and describe voltage quality indices, their causes and consequences and the methods for improvement

3. interpret the stochastic assessment of the annual number of voltage dips due to short circuits in the part of a power system and the cost of voltage dips in an industrial facility

4. evaluate and interpret the results of measuring and monitoring of the power quality

5. apply probability density functions of stohastical process in an electric power system

6. understand the reliability and availability indices of transmission and distribution networks

7. develop the models for reliability indices computation using software for transmission and a distribution network analysis



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