Power System Planning and Operation

Learning Outcomes

  1. describe exploitation characteristics of electric power system
  2. generate system load curve (piece-wise linear approximations)
  3. predict future system load by using independent methods
  4. calculate transmission capacities of interconnecting lines
  5. plan the hydro-thermal scheduling in the system

Forms of Teaching

Lectures

Lectures will provide a theoretical background to the students.

Exercises

These will be used to solve numerical examples to the students.

Laboratory

Laboratory exercises will take part in a computer laboratory.

Week by Week Schedule

  1. System states and security, Load forecasting and management
  2. Economic load dispatch, Multi-area coordination
  3. Short-run marginal cost, Minimum stable operating level, Maximum rate of ramping up or down, Minimum time period the unit is up and/or down, Supply function equilibrium, Unit commitment models
  4. Hydro-thermal coordination, Least-cost dispatch of available generation, Generator megawatt dispatch, Voltage and stability constraints
  5. Objective functions, Security-constrained optimal power flow
  6. Nodal prices
  7. Interconnectors, Transfer capacities (base, total, net, avaliable, already allocated), Transmission Reliability Margin, Interconnection capacity
  8. Midterm exam
  9. Price area based congestion management, Analytic functions for power system operation planning, Realised operation analysis and control, Power system load forecasting
  10. Optimal role of units in a power system, Load following
  11. The Nature of the Transmission Business, Cost-based Transmission Expansion, Value-based Transmission Expansion, Regulated and negotiated Third Party Access
  12. Generation Capacity from an Investor’s Perspective, Generation Capacity from the Customers’ Perspective, Optimization models for Problems of Generation Investment, Dependent and independent forecasting methods, Regression models
  13. Daily load profile and load duration curve, Load duration curve approximation, Weekly, monthly and annual load profiles
  14. Grid code, ENTSO-E recommendations, ERGEG rules
  15. Final exam

Study Programmes

University graduate
Audio Technologies and Electroacoustics (profile)
Free Elective Courses (3. semester)
Communication and Space Technologies (profile)
Free Elective Courses (3. semester)
Computational Modelling in Engineering (profile)
Free Elective Courses (3. semester)
Computer Engineering (profile)
Free Elective Courses (3. semester)
Computer Science (profile)
Free Elective Courses (3. semester)
Control Systems and Robotics (profile)
Free Elective Courses (3. semester)
Data Science (profile)
Free Elective Courses (3. semester)
Electrical Power Engineering (profile)
Elective Courses of the Profile (3. semester)
Electric Machines, Drives and Automation (profile)
Free Elective Courses (3. semester)
Electronic and Computer Engineering (profile)
Free Elective Courses (3. semester)
Electronics (profile)
Free Elective Courses (3. semester)
Information and Communication Engineering (profile)
Free Elective Courses (3. semester)
Network Science (profile)
Free Elective Courses (3. semester)
Software Engineering and Information Systems (profile)
Free Elective Courses (3. semester)

Literature

Benjamin F. Hobbs, Michael H. Rothkopf, Richard P. O'Neill, Hung-po Chao (2006.), The Next Generation of Electric Power Unit Commitment Models, Springer Science & Business Media
Miguel F. Anjos, Antonio J. Conejo (2017.), Unit Commitment in Electric Energy Systems, Foundations and Trends in Electric Energy Systems

Lecturers

Prof.
Marko Delimar
Assoc. Prof.
Hrvoje Pandžić

For students

General

ID 222652
  Winter semester
5 ECTS
L3 English Level
L1 e-Learning
30 Lectures
15 Exercises
5 Laboratory exercises

Grading System

Excellent
Very Good
Good
Acceptable

Similar Courses