The course consists of two blocks, each consisting of a project assignment, lectures and exercise sessions. Block one includes analysis and modeling of the need for Information exchange for power system control. The aim is to train the students to analyze different perspectives on information necessary for power system control. The project assignment in the block includes implementation of a simple information model for the exchange of data on power systems. Block two includes basics in programming techniques and computer science focusing on machine learning methods with applications in power systems. The project assignment in the block consists of developing machine learning algorithms for forecasting.
Intended learning outcomes *
The aim of the course is to train the students in developing computer systems for advanced planning, operation and control of electric power systems.
On completion of the course, the student will be able to:
· Analyze a control problem and suggest appropriate system architecture.
· Analyze the need for information exchange and suggest appropriate information models and protocols.
· Develop simple software for a controller.
· Analyze the information needed for a given automation and control function for power systems.
· Create consistent information models for power systems control
The course is to a large extent performed as project assignments in which information models and analysis methods are developed.
Literature and preparations
Specific prerequisites *
Bachelor degree corresponding to 180 ECTS and Eglish level 6.
EH2741 communication and control in electric power systems
EH2741 Communication & Control in Electric Power Systems
Artifical Intelligence a Modern Approach, Russel & Norvig
IntelliGrid Common Information Model Primer, EPRI Technical Report 2013
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.