19M021ESE - Power system state estimation and SCADA

Course specification
Course title Power system state estimation and SCADA
Acronym 19M021ESE
Study programme Electrical Engineering and Computing
Module Applied Mathematics, Audio and Video Technologies, Biomedical and Environmental Engineering, Computer Engineering and Informatics, Electronics and Digital Systems, Energy Efficiency, Microwave Engineering, Nanoelectronics and Photonics, Power Systems, Signals and Systems, Software Engineering
Type of study master academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
    ESPB 6.0 Status elective
    Condition Exams: Power system analysis
    The goal Introduction to students about the SCADA system for managing the electric power system as a comprehensive and clear structural unit. Learning about preventive and corrective management actions related to changes in the condition and parameters of the power systems. Getting to know the concept of managing the distribution system.
    The outcome Training students for the application and use of different systems and structures for power systems management.
    Contents of lectures SCADA functions and organization of the control and management system. Dispatch centers and communication protocols in the electric power industry. State and parameter estimation. Intelligent measurements and WAMS systems. Methods of dynamic estimation. WAMPAC systems in the management of electric power systems. Algorithms of distributed power system management.
    Contents of exercises Demonstration and operation of existing classical and synchronized phasor measurement devices. Work on algorithms for system state and signal estimation. Development of software for measuring control systems. Work on the development of new software for this area.
    1. E. Vaahedi, Practical power system operation, Wiley, 2014 (Original title)
    2. M. Kezunovic at all, Application of Time Synchronized Measurements in Power System Transmission Networks, Springer, 2014 (Original title)
    3. M. Shahidehpour, Y. Wang, Communication and Control in Electric Power Systems, Applications of Parallel and Distributed Processing, Wiley, 2003. (Original title)
    4. A. Abur, A.G. Expoіsito, Power System State Estimation - Theory and Implementation, Marcel Dekker, 2004 (Original title)
    5. S.C. Savulescu, Real-time stability assessment in modern power system control centers, IEEE Press, 2009 (Original title)
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    2 2
    Methods of teaching Classic lectures and lectures in electronic form (presentation). Practices include classical tasks and problems solving using computer calculations.
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures Test paper
    Practical lessons 20 Oral examination 50
    Seminars 30