IRMGR41018 Wind, Solar and Hydro Power Integration in Power Systems (Spring 2022)

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 advanced knowledge of electrical machines and prime movers

• can implement voltage and frequency control in a power system

• is able to develop a simulation model based on block diagrams and/or a mathematical model

• is able to analyze the role of smart grids in the integration of wind and solar power.

 

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 create wind power and power systems models with the help of dedicated software.

 

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 and voltage control; active and reactive power control

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

• Grid codes and technical regulations of wind power plants

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

 

The following topics will also be covered:

• Power system parameters of electrical machines and prime movers

• Effect of various energy sources in the power system

• Advantages and drawbacks of wind, solar and hydropower generation

• Energy storage

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 modelling and simulation exercises.

 

The 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 student¿s 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

• Attendance at 1 workshop

• 1 oral presentation

• 1 project report

Examination

Individual written exam 3 hours. All written aids and calculator are permitted.

 

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

Examiners

One internal and one external examiner.

Conditions for resit/rescheduled exams

If the student fails the written exam, they can re-take this exam maximum two more times. 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 of the written exam.

Course evaluation

The course will be evaluated by a standardized electronic form.

Literature

Last updated 05.10.2018. The reading list may be subject to change before the semester starts.

Thomas Ackermann (2012), Wind power in power systems, John Willey, 2nd edition

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