Control Parameters Identification and Its Application to Transient Interaction Analysis of PMSG-Based Wind Farm Connected to Receiving-End Power Grid
ID:88 View Protection:ATTENDEE Updated Time:2022-05-16 09:40:26 Hits:355 Poster Presentation

Start Time:Pending(Asia/Shanghai)

Duration:Pending

Session:No Session »

Video No Permission Presentation File

Tips: Only the registered participant can access the file. Please sign in first.

Abstract
High penetration of renewable energy generators such as wind turbines deteriorates transient dynamics of the power system. Unknown model of wind turbines leads to difficult of stability analysis and control of the power system integrated with wind turbines. This paper focuses on control parameters identification of permanentmagnet synchronous generator (PMSG) based wind turbines and using the identified model to analyze the transient dynamics of PMSG-based wind farm connected to the receiving-end power grid. First, the control model of PMSG is generalized with four modules, current limit, reactive power limit, active power controller, and reactive power controller. Since the control parameters of the two limits can be achieved straightforwardly, the main effort is consequently concentrated on the control parameters identification of active/reactive power controller. By clarifying the acquisition of measurable and unmeasurable parameters, a discrete state space model for the two controller is formulated, and the numerical subspace state space system identification (N4SID) algorithm is employed to realize the structure and parameters identification of the active/reactive power controller module. The effectiveness of the proposed control parameters identification was verified with the standard PMSG model based on MATLAB/Simulink. Finally, the identified control model was applied to analyze the transient dynamics of PMSG-based wind farm connected to the receiving-end power grid, and the simulation results on output fluctuation and penetration rate of the wind power impacting on the power grid demonstrate the feasibility of the presented scheme.
Keywords
permanent-magnet synchronous generator; receiving-end power grid; parameter identification; numerical subspace state space system identification; transient interaction
Speaker
FangJinyuan

Submit Comment
Verify Code Change Another
All Comments
Important Date
  • Conference Date

    May 27

    2022

    to

    May 29

    2022

  • Feb 28 2022

    Draft paper submission deadline

  • May 29 2022

    Registration deadline

  • Jun 22 2022

    Contribution Submission Deadline

Sponsored By
IEEE Beijing Section
China Electrotechnical Society
Southeast University
Supported By
IEEE Industry Applications Society
IEEE Nanjing Section
Contact Information