Control of Microgrids

Data is displayed for academic year: 2023./2024.

Lecturers

Assoc. Prof.
Vinko Lešić
Prof.
Mario Vašak

Course Description

Functioning and voltage-current characteristics of fundamental microgrid components: photovoltaic panels, wind turbines, lead-acid and lithium-ion batteries, fuel cells, as well as typical energy consumption profiles. Off-grid operation, design of microgrid component dimensions in the conditions of variable power production and consumption. Functionality of typical AC and DC power converters and efficiency variation in the operating area. Hierarchical control system of microgrid components. Power converter current control loops, DC or AC bus voltage control, and high-level power balancing of production, consumption and storage. Controller design in hierarchical control system. Simple transactive controller for bi-directional power flow with the grid. Adjustments to intermittent energy sources and storage systems in variable electricity market conditions. Mathematical formulation of optimisation problem for balancing microgrid power flows and optimum storage system charging and discharging control, with linear program and mathematical description of physical system limitations. Possibility of microgrid participation in power grid control. Existing and promising business models and trends of microgrid integration to power grid through aggregators or direct peer-to-peer communication. Information and communication technology methods for microgrid integration based on exchanging the price-consumption profiles.

Study Programmes

University graduate
[FER3-HR] Audio Technologies and Electroacoustics - profile
Elective Courses (1. semester) (3. semester)
[FER3-HR] Communication and Space Technologies - profile
Elective Courses (1. semester) (3. semester)
[FER3-HR] Computational Modelling in Engineering - profile
Elective Courses (1. semester) (3. semester)
[FER3-HR] Computer Engineering - profile
Elective Courses (1. semester) (3. semester)
[FER3-HR] Computer Science - profile
Elective Courses (1. semester) (3. semester)
[FER3-HR] Control Systems and Robotics - profile
Elective Courses (1. semester) (3. semester)
Elective Courses of the Profile (3. semester)
[FER3-HR] Data Science - profile
Elective Courses (1. semester) (3. semester)
[FER3-HR] Electrical Power Engineering - profile
Elective Courses (1. semester) (3. semester)
Elective Courses of the Profile (3. semester)
[FER3-HR] Electric Machines, Drives and Automation - profile
Elective Courses (1. semester) (3. semester)
[FER3-HR] Electronic and Computer Engineering - profile
Elective Courses (1. semester) (3. semester)
[FER3-HR] Electronics - profile
Elective Courses (1. semester) (3. semester)
[FER3-HR] Information and Communication Engineering - profile
Elective Courses (1. semester) (3. semester)
[FER3-HR] Network Science - profile
Elective Courses (1. semester) (3. semester)
[FER3-HR] Software Engineering and Information Systems - profile
Elective Courses (1. semester) (3. semester)

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

Lectures.

Exercises

Numerical examples.

Laboratory

Exercises in Matlab.

Week by Week Schedule

  1. Connecting voltage and current sources on a common energy bus and their control.
  2. Controllable DC sources -- control of currents and voltages, maintaining maximum power point.
  3. Integration of controllable sources in a DC microgrid with hierarchical control of currents, voltages and powers.
  4. Elaboration of example for laboratory exercise in DC microgrids control. Numerical examples.
  5. Controllable AC sources -- regulation of currents, voltages, active and reactive power, and frequency. Phase locked loop (PLL). DC/AC and AC/DC conversions.
  6. Integration of controllable sources in an AC microgrid with hierarchical control of currents, voltages, powers and frequency.
  7. Elaboration of example for laboratory exercise in AC microgrids control. Numerical examples.
  8. Midterm exam
  9. Optimization of power flows in a microgrid with production, consumption and storage systems. Use of convex or sequential convex programming.
  10. Optimization of power flows in a microgrid with production, consumption and storage systems. Use of convex or sequential convex programming.
  11. Elaboration of an example of a complete DC microgrid control system.
  12. Elaboration of an example of a complete AC microgrid control system.
  13. Elaboration of the task for the laboratory exercise in microgrids optimization.
  14. Numerical examples.
  15. Final exam

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
L1 English Level
L1 e-Learning
30 Lectures
0 Seminar
0 Exercises
10 Laboratory exercises
0 Project laboratory
0 Physical education excercises

Grading System

Excellent
Very Good
Good
Sufficient

Similar Courses