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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, Biomedical and Nuclear Engineering, Computer Engineering and Informatics, Electronics and Digital Systems, Energy Efficiency, Information and Communication Technologies, Microwave Engineering, Nanoelectronics and Photonics, Power Systems - Networks and Systems, Power Systems - Renewable Energy Sources, Power Systems - Substations and Power Equipment, 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 the concepts of state and parameter estimation in power systems, as well as system observability. Familiarization with the fundamentals and functionalities of SCADA systems.
    The outcome Students will be able to: Explain the principles of state estimation and parameter estimation in electric power systems (EPS). Analyze the observability of power systems and understand its significance for reliable system operation. Apply basic methods for implementing state estimators in EPS. Understand the architecture, components, and functions of SCADA systems.
    Contents
    Contents of lectures Introduction to state estimation in power systems (PS) PS modeling for state estimation purposes Basic methods of state estimation Observability of PS Detection and elimination of bad data Introduction to SCADA systems Architecture and components of SCADA systems Integration of SCADA systems with state estimators
    Contents of exercises Modeling of the power system Measurement analysis in power systems Implementation of the least squares method for state estimation Observability analysis of the system based on available measurements Detection and correction of bad data in measurements Visualization and analysis of estimation results Final project
    Literature
    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. Gomez-Exposito, A., Abur, A., Rousseaux, P., de la Villa Jaen, A., & Gomez-Quiles, C. (2011). On the use of PMUs in power system state estimation. In 17th power system computation conference. (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
    Projects 30
    Colloquia
    Seminars