Frequency stability in island networks: Development of kaplan turbine model and control of dynamics

Michael Gratza, Rolf Witzmann, Christoph J. Steinhart, Michael Finkel, Martin Becker, Thomas Nagel, Tobias Wopperer, Helmut Wackerl

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Large switching events can potentially threaten the frequency stability in small island systems. Simulation models of generators and loads therefore help to predict the frequency behavior and deviations after switching events. Standard models for hydraulic systems are often unable to represent real system behavior during critical events with sufficient accuracy. A dynamic simulation model for a real double regulated Kaplan turbine is presented in this paper. The model is easily adapted to represent other Kaplan turbines. A method for measurement and calculation of the required parameters is presented. Further, it is shown that, through minor changes in the turbine control, drastic improvements in the dynamic turbine behavior can be achieved, without the need to change hardware components. All results are validated with the help of measurement data taken from a real 5 MW Kaplan turbine built in a run-of-the-river power plant.

Original languageEnglish
Title of host publication20th Power Systems Computation Conference, PSCC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781910963104
DOIs
StatePublished - 20 Aug 2018
Event20th Power Systems Computation Conference, PSCC 2018 - Dublin, Ireland
Duration: 11 Jun 201815 Jun 2018

Publication series

Name20th Power Systems Computation Conference, PSCC 2018

Conference

Conference20th Power Systems Computation Conference, PSCC 2018
Country/TerritoryIreland
CityDublin
Period11/06/1815/06/18

Keywords

  • Dynamic turbine model
  • Frequency stability
  • Improved dynamics
  • Island operation

Fingerprint

Dive into the research topics of 'Frequency stability in island networks: Development of kaplan turbine model and control of dynamics'. Together they form a unique fingerprint.

Cite this