Dynamical production optimization of a power plant portfolio - With regards to economy and availability.

Project Details

Description

The purpose of the project is to develop methods to enable us to construct a controller to increase the stability of the power supply in Denmark. The development of the new methods will take its base in model predictive control and hybrid systems, in order to exploit their ability to handle the constraints within the system. The primary objective of the controller is to exploit the different part of the Danish power system in the most beneficial way, such that the power production becomes optimal with regard to the production cost and the ability to follow the power consumption thereby securing the stability of the Danish power system.
The development of the controller will be based on MPC, a method which most often results in the need to solve an optimization program. Depending on the problem formulation this optimization program ranges from QP problem without constraints to nonlinear problems with constraints.

StatusFinished
Effective start/end date01/04/200701/04/2010

Funding

  • <ingen navn>

Keywords

  • Optimering
  • MPC
  • Power plants

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  • Research Output

    • 1 Journal article
    • 1 Conference article in Journal

    Hierarchical model-based predictive control of a power plant portfolio

    Edlund, K. S., Bendtsen, J. D. & Jørgensen, J. B., Oct 2011, In : Control Engineering Practice. 19, 10, p. 1126-1136 11 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

    File
  • 39 Citations (Scopus)
    1083 Downloads (Pure)

    Introducing Model Predictive Control for Improving Power Plant Portfolio Performance

    Edlund, K. S., Bendtsen, J. D., Børresen, S. & Mølbak, T., 2008, In : Elsevier IFAC Publications / IFAC Proceedings series. 1

    Research output: Contribution to journalConference article in JournalResearchpeer-review