• DocumentCode
    2819216
  • Title

    Managing microgrids with intermittent resources: A two-layer multi-step optimal control approach

  • Author

    Zhu, Dinghuan ; Yang, Rui ; Hug-Glanzmann, Gabriela

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2010
  • fDate
    26-28 Sept. 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    A novel multi-step coordinated control approach for microgrid management is proposed considering economic and environmental aspects. The proposed concept consists of a two-layer control algorithm, the component-layer and the top-layer controls. Both are based on look-ahead multi-step optimization techniques. Assuming the availability of renewable power forecasting methods, future states of the microgrid are taken into account in the multi-step optimization. The component-layer control is utilized to maintain the power output from renewable energy constant for short periods while the top-layer control properly alleviates the severe fluctuations of the power output from conventional generators caused by balancing the output from intermittent resources. Regarding those aforementioned goals, energy storage devices play a critical role in both control layers. A typical campus-wide microgrid is carefully examined as an example. Simulation results of each layer control applied to the test system are presented demonstrating the performance of the proposed two-layer control method.
  • Keywords
    optimal control; power grids; power system control; power system management; component-layer control; intermittent resources; microgrid management; two-layer multi-step optimal control approach; Density estimation robust algorithm; Energy storage; Generators; Optimal control; Optimization; Switches; Wind forecasting; Intermittent Resources; Microgrid Management; Multi-Step Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    North American Power Symposium (NAPS), 2010
  • Conference_Location
    Arlington, TX
  • Print_ISBN
    978-1-4244-8046-3
  • Type

    conf

  • DOI
    10.1109/NAPS.2010.5619594
  • Filename
    5619594