MS1ADM - Electric Power Distribution Automation

Course specification
Course title Electric Power Distribution Automation
Acronym MS1ADM
Study programme Electrical Engineering and Computing
Module Power Systems
Type of study master academic studies
Lecturer (for classes)
    Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
      ESPB 6.0 Status elective
      Condition none
      The goal The aim of the subject is to introduce students to the concepts, technologies, planning and exploitation of industrial distribution networks. In addition, it is necessary to introduce students to aspects of the network economy, quality of delivery of electricity and thermal boundary regimes.
      The outcome Students will be trained to independently operate the tasks of designing, planning, analysis and optimization of distribution networks and industrial medium with emphasis on computer applications.
      Contents of lectures General considerations. Load characteristics. A household as an element of the system. Industrial consumers. Principle network solutions. Load forecasting. Load flow. Reliability and security. Reconfiguration and losses. Technical and economic aspects. The economic load. Optimal parameters of the network. Thermal aspects of the network elements loading. Electric power quality. Voltage regulation.
      Contents of exercises none
      1. M.K. Khedkar, G.M. Dhole, A Textbook of Electric Power Distribution Automation, University Science Press, New Delhi, 2011. (Original title)
      2. James A. Momoh, Electric power distribution, automation, protection and control, Howard University, Washington DC, USA, CRC Press, 2007. (Original title)
      3. James Momoh, Smart.Grid - Fundamentals of Design and Analysis, John Wiley & Sons, Inc., New Jersey, 2012 (Original title)
      Number of hours per week during the semester/trimester/year
      Lectures Exercises OTC Study and Research Other classes
      3 1
      Methods of teaching Lectures, auditory exercises, discussions, demonstrations
      Knowledge score (maximum points 100)
      Pre obligations Points Final exam Points
      Activites during lectures 10 Test paper 0
      Practical lessons 0 Oral examination 45
      Projects 0
      Colloquia 0
      Seminars 45