Semester 7


Course: Electric Power Transmission and Distribution



Course Code: YΕΗ1
Course Level: Undergratuate
Obligatory/Elective: Obligatory
Semester: 7
Division: Division of Energy
Group: Main Course
ECTS Credits: 5
Hours Per Week: 4
Website: eclass.uowm.gr/courses/HMMY101/
Language: Greek
Content:

The course consists of the following subjects/entities:
1. Power lines electrical characteristics
• overhead power lines and underground cables, calculation of
suspension arrow and forces in over-head power lines
2. Electrical models of power lines
• short line model, medium and long line models, two-terminal
models, power transfer and lines’ operational limits
3. Voltage regulation
• reactive power compensation, special types of transformers and
synchronous compensators, trans-former tap-changer
4. AC power flow analysis
• basic concepts, power flow in radial networks, simplified power
flow methods, Gauss-Seidel method, complex power flow in large
systems Newton-Raphson method, decoupled power flow
5. Distribution network topologies in Low and Medium Voltage
• distribution network types, distribution network operation,
medium voltage substations
6. Distribution network analysis
• voltage drop computation in distribution network with
distributed loads, distribution network power loss computation,
distribution network node voltage regulation
7. Distribution network load
• load curve, peak load, energy demand, mean load, demand
factor, usage factor, synchronization coefficient, load demand
patterns.

Learning Outcomes:

After successful completion of the course, students will be to:
• Understand and recognize the structural and operations
differences between transmission and distribution power systems.
• Compute the electrical characteristics of different power
line models and understand their single-phase circuits
• Apply the suitable reactive power compensation type and
voltage regulation method in power lines
• Understand power flow in power lines and its
mathematical modelling
• Compute AC power flow in a power circuit and compute
voltage drop
• Compute power loss in a power line
• Know the distribution network topologies and their
structural characteristics
• Understand different load demand patterns kai compute
the demand characteristics
• Analyze and simulate power systems via software packages
(e.g., DigSILENT)
General Competences:
• Search for, analysis and synthesis of data and information
by the use of appropriate technologies
• Decision-making
• Group/Team work
• Project planning and management
• Development of free, creative and inductive thinking
• Development of new research ideas

Pre-requirements:

-

Teaching Methods:

-

Validation:

The language of evaluation is Greek. The overall rating is divided as
follows:
- Laboratory exercises (30%)
- Written work (30%)
- Final exams (40%) consisting of:
1) problem solving
2) short-answer questions
3) multiple choice tests
The laboratory exercises are based on the analysis of a circuit-case
study through a software tool.
The essay writing is based either on the literature review for the
development of a topic description work based on scientific
publications, or on the development of algorithms and
methodologies for solving research problems for innovative
research actions on Power Systems.
The course examination process includes short answer questions
and solving tutorial exercises.
The answers of the exam questions are posted in eclass, and the
grade of each subject in which they are evaluated is known in
advance to the students.
Each student can request a demonstration of the writing and his /
her grade will be analyzed.

Suggested Books:

[1] Transmission and Distribution of electric energy, Weedy B. M.,
Cory B. J. ION publication, Code Eudoxus: 14651
[2] Power System Analysis, John Grainger, William Stevenson, Jr.
Code Eudoxus:59369529
[3] Power Systems, 2nd edition, P. Malatestas, Code Eudoxus:
59388044
[4] Power Systems, Nasar Syed A., Code Eudoxus: 18548740
Relevant scientific journals:
• IEEE Transactions on Power Systems
• IEEE Transactions on Smart Grid
• Electric Power System Research (Elsevier)

Lecturer: Bouhouras Aggelos