87236 - Electric Power Systems M

Learning outcomes

The course provides the basics for understanding the main aspects of modern power systems/smart grids analysis and operation in steady state and transient/dynamic conditions. At the end of the course students are able to understand the main technical problems relevant to transmission and distribution of electric energy, and can solve them with particular reference to load flow, short circuit calculation, stability, frequency control, voltage control and renewable sources diffusion in the electric network and smart grids.

Course contents

The course covers the key technical characteristics of the operation and control of modern electric power systems.

Course content:

Module 1 (6 CFU)

• Introduction to electric power systems.
• Power flow analysis.
• Fault analysis.
• Power system dynamics and stability.
  
• Angular stability.
• Voltage stability.
• Control of active power and frequency. Automatic generation control.

Module 2 (3 CFU) only for electrical energy engineering students.

• Electromagnetic transients.
• Interaction between electromagnetic transients and electromechanical transients.
• EMTP simulations of power systems in steady state and transient conditions.

Readings/Bibliography

Lecture notes (https://virtuale.unibo.it/ ).

Helpful reference books:

module 1

• J.J. Grainger, W.D. Stevenson, Power system analysis, McGraw-Hill 1994.
• H. Saadat, Power system analysis, PSA Publishing, 2010.

module 2

• J. Machowski, J.W. Bialek, J.R. Bumby, Power system dynamics : stability and control, Chichester, U.K. : Wiley, 2008
• M.H.J. Bollen, The Smart Grid: Adapting the Power System to New Challenges, Morgan & Claypool Publishers; 2011.

Teaching methods

Theoretical lectures and guided programming and simulation activities in the computer lab.

Assessment methods

The exam is a closed-book test on eol.unibo.it with a single overall score. The test includes theory and application calculations to evaluate the candidate's knowledge of and ability to apply the key concepts presented throughout the course (modules 1 and 2). Students may request a final evaluation colloquium to improve their test score.

Students are assessed on their complete knowledge of the course content and its application to solving engineering problems, with marks of excellence. Mnemonic knowledge of the subject matter with limited synthesis and analysis capabilities and difficulty applying it to case studies leads to lower evaluations. Negative assessments or low marks are justified by learning gaps and an inability to apply knowledge to case studies.

Teaching tools

https://virtuale.unibo.it/

For classes in Lab. 2, all students must register in advance on the website
http://infoy.ing.unibo.it
(without selecting the "I need a DB2 account" option).

Before the first lecture, please also obtain a free account from the website https://eu.pythonanywhere.com/ .

Please write down your personal usernames and passwords and bring them with you to Lab. 2. You will use your chosen username and password to access the lab computer and use pythonanywhere.

Office hours

See the website of Alberto Borghetti