Efficient planning, operation and control of electric power systems are completely dependent on well functioning computer systems. A key function in these systems is the ability to analyse large amounts of data. Such analysis needs to be done both in off-line situations to optimize dispatch of generation, forecast production of RES, plan grid expansions and understand customer behaviour, but also in real-time to identify faults and risks of instability as well as decision support for automatic grid reconfiguration. For all these applications, the analysis of large amounts of high quality data - popularly know as Big Data - is critical for providing necessary support for decision-making or automated control actions.
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:
EH2741 Communication & Control in Electric Power Systems.
The course consists of three blocks: Software development in Java, power system data modelling and machine learning. The software development block runs throughout the course and forms the basis for the two other blocks.