IRMGR41018 Wind, Solar and Hydro Power Integration in Power Systems (Spring 2025)

The course is connected to the following study programs

Master in Green Energy Technology (Compulsory in Smart Energy Technology profile).

Recommended requirements

Basic knowledge of electric circuits. Previous knowledge of the fundamental area within energy technology or the subject Renewable energy (10 ECTS) from the 1st semester courses.

Lecture Semester

Second semester (spring).

The student's learning outcomes after completing the course

Knowledge:

The student

• Has knowledge about converters application in integration of PV systems

• Has knowledge about different wind turbine generators, working principle, Grid converters for integration of wind generators

• Hydro power plant modelling and integration

• Modelling of power system for frequency regulation

• Grid integration codes

 

Skills:

The student

• can formulate and implement a model for an integrated power system, and can analyze the results

• can utilize stationary and dynamic models of wind turbines, photovoltaic (PV) systems and hydropower plants

• can simulate output power of PV models, its integration with converter, aerodynamic power of wind turbines, frequency regulation of power system

 

General competence:

The student

• can conduct a project in collaboration with other students

• can present a scientific topic orally

• can apply acquired knowledge and skills to solve advanced tasks and projects.

Content

• Wind power systems, control and grid integration

• Photovoltaic (PV) inverter topologies, configurations and control strategies, grid integration

• Grid codes and technical regulations of wind and PV power plants

• Wind power, solar power, hydropower and smart grid. Active management of distribution systems

 

The following topics will also be covered:

• Energy resources components, modelling and control strategy

• Integration impact of energy sources in the power system

• Use of software tools

Forms of teaching and learning

A variety of teaching and learning methods will be used, from regular lectures with basic teaching using video-projection and other interactive devices (dialogue-based teaching) but also using individual and group modeling and simulation exercises.

Several numbers of exercises/assignments (some using simulation software, mainly MATLAB) will be assigned to the students, which have to be performed individually and submitted. These are mandatory exercises. Each student has to deliver an Oral Seminar (mandatory) of his/her choice on the topic, related to the course, which should be also agreed with the Course Coordinator/Instructor. One project work in a group of 2-3 (minimum 2, maximum 3) students have to be completed (mandatory), which will have use of simulation software.

The individual/group work based teaching will force students to develop not only computer simulation skills but also to use their social skills in cooperation and communication. The course will also include the laboratory exercises and project work to develop project-based learning method, which will highlight the students' abilities in solving practical problems and teamwork.

New topics and simulation tools will be introduced by presenting concrete examples and problems using teaching methods with an inductive approach.

Workload

125-150 hours.

Coursework requirements - conditions for taking the exam

• Submission of 3 exercises

• Submission of Report for one Project work

Examination

This exam consists of two parts:

Part 1: Oral presentation of project work. Duration: 30 minutes. Counts as 50% of the final grade

Part 2: Individual written exam. Duration: 1.5 Hour. Counts as 50% of the final grade

 

All written aids and calculator are permitted.

Both partial exams must be passed to get a final grade in the subject. 

Grades from A to F, where A is the best grade, E is the lowest passed grade, and F is failed.

Examiners

Two internal examiners or one internal and one external examiner.

Conditions for resit/rescheduled exams

If the oral presentation is graded as failed, the student will be given one more chance to present.

If the student fails the written exam, a resit will be arranged in August the following semester.

The students do not need to do the coursework assignments again to be allowed a re-take the exams

Course evaluation

The course will be evaluated by a standardized electronic form.

Literature

The current reading list for 2023 Spring can be found in Leganto

For Exercises, relevant papers and MATLAB files to be used in simulation will be provided.

Additional literature will be specified at the start of the semester.