Original scientific paper
Detailed Transients Simulation of a Doubly Fed Induction Generator Wind Turbine System with the EMTP-Type OVNI Simulator
Mažana Lukić Armstrong
; University of British Columbia, Canada
José R. Martí
; University of British Columbia, Canada
Prabha Kundur
; University of Toronto Canada
Abstract
Doubly fed induction generator wind turbines are increasingly used in new wind turbine
installations all over the world. Growing concerns about the impact of a large number of these
generators on transient and voltage stability of power system networks has led engineers to
revisit modelling and simulation practices used for system stability analyses. In this paper, the
latest advancements in design of the general purpose power system simulator OVNI
developed at the University of British Columbia are presented, and its application to the
simulation of a doubly fed induction generator (DFIG) wind turbine system is shown.
Because OVNI is based on the EMTP methodology for accurate detailed modelling, and the
Multilevel MATE (Multi-Area Thévenin Equivalent) concept, which, combined with
hardware solutions, allows for fast simulation of large power system networks, it represents
an ideal tool for testing and developing benchmark models of different wind turbine
installations. Using the EMTP approach for modelling of a DFIG wind turbine system and its
feeding power network we were able to study the responses of the wind turbine generator to
different network events. The ultimate goal of our investigations is the development of a
benchmarking process for testing different models of wind turbine generators and determining
the range of validity of various degrees of approximations normally used for stability
simulation purposes. Due to the rapid development of wind generation technology, it is
essential to determine the minimum requirements for dynamic modeling of wind turbine
generators for assessing impacts of their installations on the dynamic security and stability of
power systems.
Keywords
Hrčak ID:
198416
URI
Publication date:
19.6.2017.
Visits: 841 *