• DocumentCode
    1987506
  • Title

    Model Predictive Control for non-linear delayed power systems

  • Author

    Molina-Cabrera, Alexander ; Rios, Mario A. ; Velasquez, Miguel A.

  • Author_Institution
    Department of Electrical Engineering and Electronics, Universidad de los Andes, Bogotá D.C., Colombia
  • fYear
    2015
  • fDate
    June 29 2015-July 2 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Power systems can experience poorly damped oscillations tendency which may cause loss of synchronism and security constraints infringement. This may be caused by disturbances in power consumption, failures, and recently by the presence of delays in monitoring process. In consequence, control systems, which must deal with delayed signals in monitoring and control, need to be designed to avoid instability in the system. This paper presents the application of a proposed Sliding Prediction Block which feeds a Model Predictive Control (MPC) aiming to increase the damping of oscillations in a nonlinear model of the delayed single-machine infinite-bus system (SMIB), and in the two area test case of Kundur. The proposed scheme controls the mechanical power to track the power reference at the infinite bus, and in Kundur system the method acts over the excitation system in one of its machines. Also, the analyzed cases consider delayed signals feeding the control strategy. Results show that combining the Sliding Prediction Block with Model Predictive Control (MPC) face effectively the time-delay problem.
  • Keywords
    Delay effects; Delays; Optimal control; Oscillators; Power system stability; Predictive models; Nonlinear control systems; Power system control; Power system stability; Predictive control; optimal control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2015 IEEE Eindhoven
  • Conference_Location
    Eindhoven, Netherlands
  • Type

    conf

  • DOI
    10.1109/PTC.2015.7232532
  • Filename
    7232532