Power systems II

This course extends into the field of electric power systems based on the course EEN320. It focuses on the use of computational methods for the analysis of electric power systems in steady-state as well as during symmetrical and asymmetrical faults. It proceeds to provide the fundamental understanding of protection devices operation and selection.

Meet your instructor

Petros Aristidou

Learning outcome

On completion of this course, students should be able to:

  • Understand the fundamental computational methods to analyze the steady-state and under-fault operation of electric power systems;
  • Understand and analyze the basic power transfer limits in electric power systems; and,
  • Understand the fundamentals of protection devices and protection selection.


  1. Revision of power engineering fundamentals (per-unit, line/transformer/generator/load models)
  2. Fundamentals of power system operation (Surge impedance loading, lossless line, efficiency, loadability, maximum power over line, P-δ and P-V characteristics, Ferranti effect)
  3. Power flow analysis (nodal admittance matrix, NR-method, fast decoupled, DC power flow)
  4. Unbalanced operation (symmetrical components)
  5. Fault analysis (modeling line/transformer/generator during fault, solid faults)
  6. Protection fundamentals (fundamentals, structure, overcurrent, distance, differential, digital relays)

Course books

  • A. Gómez-Expósito, A. J. Conejo, and C. A. Canizares, Electric Energy Systems Analysis and Operation, 2nd edition, CRC Press, 2018.
  • D. Glover, M. S. Sarma and T. Overbye, Power System Analysis & Design, 6th edition, Cengage Learning, 2017.
  • Nasser Tleis, Power Systems Modelling and Fault Analysis : Theory and Practice, 2nd edition, Academic Press, 2019.
  • Ν. Βοβός, Γ. Γιαννακόπουλος, “Ανάλυση Συστημάτων Ηλεκτρικής Ενέργειας”, Β’ έκδοση, εκδόσεις ΖΗΤΗ, 2019


  • Theory delivered through lectures (in class ≈ 28 hours)
  • Practical examples (online ≈ 8 hours)
  • Hardware laboratory work (in lab ≈ 10 hours)
  • Software laboratory work (in lab ≈ 10 hours)
  • Moodle Link


Assessment type% of grade
Mid-term exam20
Software lab exam20
Hardware lab exam20
Final exam40