• DocumentCode
    3656722
  • Title

    Dynamic equivalent model development to improve the operation efficiency of wind farm

  • Author

    Xueyang Cheng;Wei-Jen Lee;Mandhir Sahni;Yunzhi Cheng;Lyndon K. Lee

  • Author_Institution
    Energy Systems Research Center, UT Arlington, TX 76019, USA
  • fYear
    2015
  • fDate
    5/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    An increasing number of wind turbine generators (WTGs) are being installed in modern power system networks. As a result, substantial achievements have been made in developing generic wind models to represent the dynamic behavior of WTGs on the grid. The Western Electricity Coordinating Council (WECC) has developed and proposed four generic models for positive sequence stability analysis of WTG. These models provide a good first step in terms of simulating the dynamic response of WTGs on the power system grid. Since it requires accurate parameters to predict the true response of the WTG, challenges associated with the simulation of dynamic response of WTGs in the field still remain. This paper proposes a procedure to estimate parameters of dynamic equivalent model of WTG by using the measurement data from Phasor Measurement Units (PMUs). Hybrid dynamic simulation is used to reduce external system by employing input signal on PMU bus. Stochastic approximation is adopted in searching optimized model parameter values. A two-WTG subsystem in Electric Reliability Council of Texas (ERCOT) is presented as a case study to address the importance of correct model in system operation strategy. Two most commonly used generic WTG models have been utilized to demonstrate the effectiveness of the proposed approach.
  • Keywords
    "Generators","Power system dynamics","Phasor measurement units","Mathematical model","Wind turbines","Power system stability","Stochastic processes"
  • Publisher
    ieee
  • Conference_Titel
    Industrial & Commercial Power Systems Technical Conference (I&CPS), 2015 IEEE/IAS 51st
  • Type

    conf

  • DOI
    10.1109/ICPS.2015.7266410
  • Filename
    7266410