Control of Microgrids

Learning Outcomes

  1. Explain functioning and characteristics of microgrid components: renewable energy sources, converters and energy storage systems
  2. Demonstrate control of typical DC and AC power converters
  3. Employ simple algorithms of predictive control in microgrid energy flows balancing
  4. Demonstrate off-grid microgrid operation
  5. Design hierarchical control system of microgrid components and overall microgrid system
  6. Choose microgrid components and recommend basic dimensions
  7. Arrange microgrid with power grid operation by predictive control algorithms
  8. Combine microgrid possibilities and services with power grid operation
  9. Choose appropriate business model for integration of a single or multiple microgrid systems to power grid

Forms of Teaching

Lectures

Exercises

Laboratory

Week by Week Schedule

  1. Off-grid operation and control of microgrids
  2. Off-grid operation and control of microgrids
  3. Off-grid operation and control of microgrids
  4. Hyerarchial control of microgrids
  5. Hyerarchial control of microgrids
  6. Hyerarchial control of microgrids
  7. Hyerarchial control of microgrids
  8. Midterm exam
  9. Constraints and objectives in microgrids coordination on the distribution grid
  10. Constraints and objectives in microgrids coordination on the distribution grid
  11. Concept of price-based control of microgrid-grid energy exchange
  12. Concept of price-based control of microgrid-grid energy exchange
  13. Concept of bounding microgrid-grid energy exchange
  14. Concept of bounding microgrid-grid energy exchange
  15. Final exam

Study Programmes

University graduate
Audio Technologies and Electroacoustics (profile)
Free Elective Courses (1. semester) (3. semester)
Communication and Space Technologies (profile)
Free Elective Courses (1. semester) (3. semester)
Computational Modelling in Engineering (profile)
Free Elective Courses (1. semester) (3. semester)
Computer Engineering (profile)
Free Elective Courses (1. semester) (3. semester)
Computer Science (profile)
Free Elective Courses (1. semester) (3. semester)
Control Systems and Robotics (profile)
Elective Courses of the Profile (3. semester)
Data Science (profile)
Free Elective Courses (1. semester) (3. semester)
Electrical Power Engineering (profile)
Elective Courses of the Profile (3. semester)
Electric Machines, Drives and Automation (profile)
Free Elective Courses (1. semester) (3. semester)
Electronic and Computer Engineering (profile)
Free Elective Courses (1. semester) (3. semester)
Electronics (profile)
Free Elective Courses (1. semester) (3. semester)
Information and Communication Engineering (profile)
Free Elective Courses (1. semester) (3. semester)
Network Science (profile)
Free Elective Courses (1. semester) (3. semester)
Software Engineering and Information Systems (profile)
Free Elective Courses (1. semester) (3. semester)

Literature

(.), -,
(.), G. M. Masters, Renewable and Efficient Electric Power Systems (2004), John Wiley & Sons,
(.), C. Bordons, F. Garcia-Torres, M. Ridao, Model Predictive Control of Microgrids (2019), Springer,

For students

General

ID 223707
  Winter semester
5 ECTS
L3 English Level
L1 e-Learning
30 Lectures
10 Laboratory exercises