Smart Power Systems

Overview

Compentency

Analysis and synthesis of smart power systems and integration of RE resources

Module type

elective module

Semester

summer

Site

Kassel

Language

English

Workload

75 hours course attendance; 50 hours self-study

Credits points

5

Recommended qualifications

none

Smart Grids

Learning Outcome

After the successful participation in the course Smart Grids the students are able to:

  • understand the key drivers as well as design principles of the smart grid (communication)
  • evaluate the communication infrastructure required to set up smart grids

Content

  • Overview of smart grids and smart grid communications (SGC)
  • Power generation:
    • equipment-conditioning information and load conditions of the generation equipment
  • Transmission:
    • state of high-voltage power lines
    • devices in the transmission substations
    • power lines and feeders
  • Consumers:
    • overall power-usage information (meter reading) and information about power usage by devices inside the home
    • automatic meter reading
    • advanced metering infrastructure
    • privacy issues in smart grids
  • Communication technologies used in SGC:
    • power line communications
    • fiber optic communications
    • wireless devices
  • Demand Response Management (DR):
    • utility companies and energy load management/reduction
    • factors for DR programs
    • automation of DR as key concept which helps to reduce human intervention and increases accuracy and responsiveness to the DR program
  • SGC:
    • activities in standardization bodies on SGC
    • practical experience gained in SGC lab experiments

Details

  • Lecturer: Marc Selig
  • Teaching method: lecture, lab training
  • SWS: 3
  • Credit points: 3
  • Examination: presentations (4 x 15 min)

Grid Integration

Learning Outcome

After the successful participation in the course Grid Integration the students are able to:

  • understand the design, problems and operation of integrated grids with respect to the specific properties of renewable energies,

  • apply advanced schemes like online-monitoring and forecasting.

Content

  • Spatio-temporal behaviour of wind and solar power:
    • wind and solar power as energy sources
    • the spatio-temporal behaviour of wind and solar power
  • Integrating wind and solar power in the electricity grid:
    • grid operation
    • wind and solar power in electricity grids
    • balancing of production and consumption
    • grid connection and ancillary services for the grid
  • Strategies and tools for the operation of the electricity supply system:
    • online-monitoring and smoothing effects o wind power and solar power forecasting
    • control options for the renewable power plant 
  • Outlook: virtual power plant, storage, load management

Details

  • Lecturer: Reinhard Mackensen
  • Teaching method: lecture
  • SWS: 2
  • Credit points: 2
  • Examination: written exam (90 min) or report (5-6 pages)