Abstract:
The purpose of this study was to conduct a transient stability analysis of a power grid
system integrated with a wind farm, using Critical Clearing Time (CCT) to derive
conclusions through MATLAB/Simulink simulations. The study began with an overview of
renewable energy and the growth of wind power generation, ending with an outline of
the entire thesis.
The second part looked into the basics of wind turbine technology, including the types of
turbines and their components. It also explored the principles of wind power conversion
and the various generators used in wind energy generation.
The third section focused on the concept and theories of transient stability analysis in
power generation, highlighting its importance and challenges. It also offered an overview
of techniques and methods used in transient stability analysis, with detailed models of
the Doubly-Fed Induction Generator (DFIG) and the IEEE 9-Bus system.
In the final chapter, a detailed simulation and discussion was carried out. This section
included simulations of the wind farm independently, the IEEE 9-Bus system alone, and
the integration of the two systems. The results demonstrated that the wind farm could
withstand fluctuations in wind speed, consistently reaching its steady state. When
integrating the two systems, the following conclusions were drawn:
„h The critical clearing time (CCT) for an existing grid system was determined to be
0.36 seconds, within which the system always regained stability.
„h The critical clearing time (CCT) for an integrated system was determined to be
0.75 seconds, within which the system always regained stability.
„h Exceeding the CCT led to the instability of the entire system.
The study concluded that integrating a wind farm into an IEEE 9-Bus system does not
negatively impact the stability of the system. It increased the CCT hence increasing the
stability of the system. The grid consistently achieved its steady state, and all transients
were effectively eliminated. This research demonstrates the feasibility and stability of
integrating wind energy into traditional grid systems, contributing valuable insights for
future renewable energy projects.
