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13D021MO - Power Systems Optimization

Course specification
Course title Power Systems Optimization
Acronym 13D021MO
Study programme Electrical Engineering and Computing
Module
Type of study doctoral studies
Lecturer (for classes)
Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
      ESPB 9.0 Status elective
      Condition none
      The goal Make students capable to apply optimization methods of solving complex optimization problems in power system
      The outcome Students are capable of solving power system optimization problems by their own.
      Contents
      Contents of lectures Introduction. Linear, nonlinear, and quadratic programming. Decomposition and relaxation methods. Dynamic, goal, geometric, multicriterial, and combinatorial programming, artificial intelligence methods. Applications on static and dynamic problems in power systems: optimal power flow, optimal investment and operational planning, voltage - reactive optimization problems.
      Contents of exercises study research work
      Literature
      1. "Application of Optimization Methods for Economy/Security Functions in power System Operation", IEEE Tutorial Course, new York, 1990. (Original title)
      2. P.E. Gill, W.Murray, M.Wright: "Practical Optimization"", Academic Press, London, 1981. (Original title)
      3. M.S. Bazaraa, J.J. Jarvis, H.D. Sherali: "Linear Programming and Network Flows", John Wiley and Sons, 1990. (Original title)
      Number of hours per week during the semester/trimester/year
      Lectures Exercises OTC Study and Research Other classes
      6
      Methods of teaching lectures
      Knowledge score (maximum points 100)
      Pre obligations Points Final exam Points
      Activites during lectures Test paper 70
      Practical lessons Oral examination
      Projects
      Colloquia 30
      Seminars