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Identification of Energy Storage Capacities Within Large-Scale Power Plants and Development of Control Strategies to Increase Marketable Grid Services

[+] Author Affiliations
Moritz Huebel

University of Rostock, Rostock, GermanyFVTR GmbH, Rostock, Germany

Juergen Nocke, Egon Hassel

University of Rostock, Rostock, Germany

Sebastian Meinke

Vattenfall Research & Development, Berlin, Germany

Paper No. POWER2015-49179, pp. V001T11A004; 10 pages
  • ASME 2015 Power Conference collocated with the ASME 2015 9th International Conference on Energy Sustainability, the ASME 2015 13th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2015 Nuclear Forum
  • ASME 2015 Power Conference
  • San Diego, California, USA, June 28–July 2, 2015
  • Conference Sponsors: Power Division
  • ISBN: 978-0-7918-5660-4
  • Copyright © 2015 by ASME


In order to meet future demands, existing and new plants need to be optimized to offer additional control reserves to stabilize an electrical grid, which is highly penetrated by fluctuating renewables. Since this requires a dynamic investigation, transient physical based models of different power plants have been developed to evaluate effects of increased flexibility as well as to develop optimization strategies. The approach has been tested for a specific 500 MW lignite-fired power plant. It includes detailed modeling of the incorporated sub-systems and their interactions as well as the implementation of the power plant’s control system. The dynamic simulation model is used for the identification of energy storage potentials within the process and for testing and developing control strategies in order to increase flexibility and marketable output of the process. The strategies are benchmarked and evaluated based on the consideration of exergetic efficiency and lifetime-consumption of critical components.

Copyright © 2015 by ASME



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