• DocumentCode
    1764636
  • Title

    MPC-Based Frequency Control With Demand-Side Participation: A Case Study in an Isolated Wind-Aluminum Power System

  • Author

    Hao Jiang ; Jin Lin ; Yonghua Song ; Hill, David J.

  • Author_Institution
    Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
  • Volume
    30
  • Issue
    6
  • fYear
    2015
  • fDate
    Nov. 2015
  • Firstpage
    3327
  • Lastpage
    3337
  • Abstract
    Aluminum production relies on the smelting process which consumes huge amounts of electrical energy. One possible solution to reduce the fossil fuel consumption by aluminum production is the integration of wind power. Based on this background, this paper studies an isolated power system for aluminum smelting production with a high penetration of wind power. A dynamic model of the aluminum smelter load (ASL) is introduced in this paper using the field experiment data. Based on this model, the dynamic model of the isolated system considering demand side participation is proposed. The MPC-based frequency controller is proposed to keep the frequency deviation within a proper range ( ±0.1 Hz) under wind power fluctuation as well as to recover the system frequency after a large disturbance (such as one generator trip). Finally, simulation results demonstrate the effectiveness of the proposed MPC based frequency controller.
  • Keywords
    aluminium manufacture; demand side management; frequency control; predictive control; smelting; wind power plants; ASL; MPC-based frequency control; aluminum production; aluminum smelter load; aluminum smelting production; demand-side participation; electrical energy; fossil fuel consumption; frequency deviation; isolated wind-aluminum power system; model predictive control; wind power fluctuation; wind power integration; wind power penetration; Aluminum; Frequency control; Load modeling; Predictive control; Wind power generation; Aluminum smelter loads (ASLs); frequency control; isolated power system; model predictive control (MPC); wind power;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2375918
  • Filename
    6991562