Menu

Distributed Generation Systems

 COURSE SYLLABUS    (PDF Version)    COURSE RESOURCES
 

 EEE4029 - Distributed Generation Systems   2+0+0  ECTS: 4

 
Year / Semester : Fall
:Course Level : Undergraduate 4th year
Compulsory / Elective : Technical elective
Department : Electrical and Electronics Engineering
Prerequisite : None
Education system : Face to face
Course Duration : 14 weeks – 2 hours per week
Faculty Member : Prof. Dr. İsmail H. ALTAŞ
Alternative Faculty Member : None
Language of Instruction : English
Internship :: None


 

Objectives of the Course

The students are subject to learn electric power generating systems, centralized and distributed generation of electrical power, wind energy systems, distributed wind energy, Photovoltaic solar energy systems, distributed PV energy systems, Interfacing wind energy systems into distributed generation, interfacing PV energy systems into distributed generation, Small hydro, Battery charging units, micro grids, energy management in distributed generation systems, modelling and simulation of distributed generation.

 

Contents of the Course

Electric power generating systems, centralized and distributed generation of electrical power, wind energy systems, distributed wind energy, Photovoltaic solar energy systems, distributed PV energy systems, Battery charging units, Interfacing wind energy systems into distributed generation, interfacing PV energy systems into distributed generation, small hydro and other renewables, energy management in distributed generation systems, modelling and simulation of distributed generation.


Learning Outcomes

Upon successful completion of the course, the students will be able to :
L
O - 1 : Have sufficient knowledge on the conventional power genereting systems
LO - 2 : Have sufficient information on world energy outlook.
LO - 3 : Have sufficient knowledge on wind energy system components
LO - 4 : Design and utilize the wind energy systems
LO - 5 : Have the sufficient knowledge to analyse and simulate solar PV systems
LO - 6 : Design and utilize solar PV systems.
LO - 7 : Desgn and utilize smart grid connected wind and PV systems
LO - 8 : Have the information about sizing and selection of capacitors in 3-phase power systems
LO - 9 : Design compensators for power factor improvement and power quality
LO - 10 : Manage the operation of smart grid connected renewable energy systems


Teaching Plan

 Week 1 Electric power generating systems
 Week 2 Centralized and distributed generation of electrical power
 Week 3 Wind energy systems
 Week 4 Wind energy systems
 Week 5 Interfacing wind energy systems into distributed generation
 Week 6 Photovoltaic solar energy systems
 Week 7 Photovoltaic solar energy systems
 Week 8 Interfacing PV energy systems into distributed generation
 Week 9 Midterm exam
 Week 10 Battery charging units, small hydro and other renewables
 Week 11 Micro grids
 Week 12 Energy management in distributed generation systems
 Week 13 Modelling and simulation of distributed generation.
 Week 14 Modelling and simulation of distributed generation.
 Week 15 Project evaluations and student presentations
 Week 16 Final exam


Text Book / Course Material

 

  1. Ismail H. Altas, unpublished lecture notes
  2. Ismail H. Altas, "Fuzzy Logic Control in Energy Systems with design applications in MATLAB/Simulink", The Institution of Engineering and Technology (The IET) Books, 2017.


Additional resources
 

  1. Gharehpetian, G.B., Agah, S.M.M., 2017; Distributed Generation Systems: Design, Operation and Grid Integration, Butterworth-Heinemann
  2. Bollen, M.H.J., Hassan, F., 2011; Integration of Distributed Generation in the Power System, Wiley-IEEE Press
  3. Jenkins, N., Ekanayake, J.B., Strbac, G., 2010; Distributed Generation, IET
  4. Mahmoud, M.S., AL-Sunni, F.M., 2015; Control and Optimization of Distributed Generation Systems, Springer
  5. Bansal, R., 2017; Handbook of Distributed Generation: Electric Power Technologies, Economics and Environmental Impacts, Springer


Evaluation Methods
 

Method Week Date Duration (Hour) Contribution (%)
Midterm 9   2 30
Presentation 14 - 15   2 10
Project 15   2 10
End of term exam 16   2 50


Student Work Load and its Distribution

Type of work Duration (hours pw) Number of weeks
Lectures (face to face teaching) 2 14
extracurricular work 2 10
Preparation for the Midterm Exam 2 7
Midterm 2 1
Homework 1 10
Project 1 10
End of term exam 1 5
Other 1 2 1