Abstract:
The availability of electrical energy is a precondition for the functioning of modern societies. It is used to provide the energy needed for operating information and communication technology, transportation, lighting, food processing and storage as well as a great variety of industrial processes, all of which are characteristics of a modern society. The present fossil energy reserves is declining significantly, so it is time to investigate new sources of energy. Globally, experts are working hard to find out how renewable sources of energy can be used to better fulfill our energy needs. Renewable energy is generally defined as energy that comes from resources which are naturally replenished on a human timescale such as sunlight, wind, rain, tides, waves and geothermal heat.
In this thesis work, focuses have been given on the utilization of wind energy to generate electricity by wind turbine. Doubly Fed Induction Generator (DFIG) coupled with the wind turbine has been chosen in this research. Mathematical formulation of full order nonlinear dynamic model of DFIG connected to grid is done as basic part of the research. A critical assessment of a parameters variation of a DFIG-based wind turbine led to the identification of the critical variables that affect most the frequency and damping ratio of the dominant oscillation modes is also accomplished. A better understanding of the dynamic performance of the DFIG based wind turbine has been achieved by implementation of the genetic algorithm optimization of closed loop PI controller. The obtained result is compared with the PI controller performance without optimization. The optimized results with genetic algorithm showed that the system presents far better performance than classical PI controller without GA. It can be expected that this work may be helpful in feeding the grid with wind generated power for a stable operation.
