Abstract Energy is one of the most important factors that continue to influence the shape of civilization in the 21st Century. The cost and availability of energy significantly impacts our quality of life, the health of national economies and the stability of our environment. In recent years there has been a significant global commitment to develop clean and alternative forms of energy resources and it is envisioned that by 2020 10% of world energy will be supplied from renewable resources, and there is an expectation that this value will grow to 50% by 2050. Among renewable energy resources, wind generation technology has matured considerably, and wind is fairly distributed around the globe and therefore available to world communities. In the last decade, wind generation has been the fastest growing energy source globally. However more penetration of wind energy into existing power networks raises concern for power system operators and regulators. Traditionally wind energy convertors do not participate in frequency regulation or Automatic Generation Control (AGC) services, and therefore large penetration of wind power into the power systems can result in a reduction of total system inertia and robustness of the frequency response to the disturbances. The research presented in this thesis covers some of the operational and design aspects of frequency control and AGC services in power systems with mixed generation resources. The thesis examines the operation of the Doubly Fed Induction Generator (DFIG) with a modified inertial loop control considering single-area and two-area frequency control, both primary control and AGC. The thesis presents new, small-perturbation, linear, dynamic, mathematical models for the simulation of primary regulation services and AGC services for single-area and two-area power systems with a mix of conventional and non-conventional DFIG-based wind generators. In order to improve the performance of the frequency regulation and AGC services of the above systems, a parameter optimization technique based on the minimization of the Integral of Squared Errors (ISE) is applied to determine the optimal settings for the proportional-integral (PI) controller gains of the DFIG machines. The thesis presents analytical studies with various perturbations to demonstrate the effectiveness and participation of DFIG-based wind generators in frequency support services and draws some important conclusions. Variation in DFIG penetration levels, and wind speed levels (strong wind and weak wind) on system frequency control performance, has also been examined in the thesis.

¡@¡@The dynamic power flow in a dual-input parallel planetary gear train system is simulated in this study. Different wind powers for the small wind turbines are merged to the synchronous generator in this system to simplify and reduce the cost of the system. Nonlinear equations of motion of these gears in the planetary system are derived. The fourth order Runge-Kutta method has employed to calculate the time varied torque, root stress and Hertz stress between engaged gears. The genetic optimization method has also applied to derive the optimized tooth form factors, e.g. module and the tooth face width. ¡@¡@The dynamic power flow patterns in this dual input system under various input conditions, e.g. two equal and unequal input powers, only single available input power, have been simulated and illustrated. The corresponding dynamic stress and safety factor variations have also been explored. Numerical results reveal that the proposed dual-input planetary gear system is feasible. To improve the efficiency of this wind power generation system. An inertia variable flywheel system has also been added at the output end to store or release the kinetic energies at higher or lower wind speed cases. A magnetic density variable synchronous generator has also been studied in this work to investigate the possible efficiency improvement in the system. Numerical results indicate that these inertia variable flywheel and magnetic density variable generator may have advantages in power generation.

This research study developed basic dynamic models that can be used to accurately predict the response behavior of a near-shore wind turbine structure with monopile, suction caisson, or gravity-based foundation systems. The marine soil conditions were modeled using apparent fixity level, Randolph elastic continuum, and modified cone models. The offshore wind turbine structures were developed using a finite element formulation. A two-bladed 3.0 megawatt (MW) and a three-bladed 1.5 MW capacity wind turbine were studied using a variety of design load, and soil conditions scenarios. Aerodynamic thrust loads were estimated using the FAST Software developed by the U.S Department of Energy’s National Renewable Energy Laboratory (NREL). Hydrodynamic loads were estimated using Morison’s equation and the more recent Faltinsen Newman Vinje (FNV) theory. This research study addressed two of the important design constraints, specifically, the angle of the support structure at seafloor and the horizontal displacement at the hub elevation during dynamic loading. The simulation results show that the modified cone model is stiffer than the apparent fixity level and Randolph elastic continuum models. The effect of the blade pitch failure on the offshore wind turbine structure decreases with increasing water depth, but increases with increasing hub height of the offshore wind turbine structure.

Wind turbines operate in a constantly changing wind environment. This requires modeling and simulation of extreme events in which the wind turbine operates and a study of associated turbine loads as part of the design practice and/or site assessment. Thunderstorms are transient atmospheric events that occur frequently in some regions of the world and can influence the design of a wind turbine. Downbursts are extreme surface winds that are produced during a thunderstorm. They are both complex to model and their damaging effect on wind turbines has been noted in recent years. In the last few decades, downbursts have been the subject of studies in various fields--- most notably, in aviation. Despite their complexity, generally only empirical models based on observational data have been developed for practical uses. Based on such field data as well as laboratory tests, it is common to model a downburst as a jet impingement on a flat plate. The actual buoyancy-driven flow has been commonly modeled as an equivalent momentum flux-driven flow resulting from the impinging jet. The use of computational fluid dynamics (CFD) to model a downburst based on the idea of an impinging jet offers an alternative approach to experimental and analytical approaches. Simulation of "downburst"' wind fields using a computational model and analysis of associated loads on a wind turbine operating during such events is the subject of this study. Although downburst-like events have been simulated using commercial CFD software, the resulting wind fields from such simulations have not been used as inflow fields for wind turbine loads analysis. In this study, the commercial CFD software, ANSYS FLUENT 12.0, is used to simulate downburst events and the output wind fields are used as input to loads analysis for a utility-scale 5-MW wind turbine. The inflow wind fields are represented by both non-turbulent and turbulent components---the former are simulated using FLUENT while the latter are simulated as stochastic processes using Fourier techniques together with standard turbulence power spectral density functions and coherence functions. The CFD-based non-turbulent wind fields are compared with those from empirical/analytical approaches; turbine loads are also compared for the two approaches. The study suggests that a CFD-based approach can capture similar wind field characteristics as are modeled in the alternative approach; associated turbine loads are as well not noticeably different with the two approaches. / text

The International Electrotechnical Commission (IEC) standard 61400-1 for the design of wind turbines does not explicitly address site-specific conditions associated with anomalous atmospheric events or conditions. Examples of such off-standard atmospheric conditions include thunderstorm downbursts, hurricanes, tornadoes, low-level jets, etc. This study is focused on the simulation of thunderstorm downbursts using a deterministic-stochastic hybrid model and the prediction of wind turbine loads resulting from these simulated downburst wind fields. The wind velocity field model for thunderstorm downburst simulation is first discussed; in this model, downburst winds are generated separately from non-turbulent and turbulent parts. The non-turbulent part is based on an available analytical model (with some modifications), while the turbulent part is simulated as a stochastic process using standard turbulence power spectral density functions and coherence functions. Tower and rotor loads are generated using simulation of the aeroelastic response for models of utility-scale wind turbines. The main objective is to improve our understanding from the point of view of design so that we may begin to address transient events such as thunderstorm downbursts based on the simulations carried out in this research study. The study discusses as well the role of control systems (for blade pitch and turbine yaw), of models for representing transient turbulence characteristics, and of correlated demand and loads on multiple units in turbine arrays during thunderstorm downbursts. / text

Parameter tting will facilitate model validation of the generic dynamic model for type-3 WTGs. In this thesis, a test system including a single 1.5 MW DFIG has been built and tested in the PSCAD/EMTDC environment for dynamic responses. The data generated during these tests have been used as measurements for the parameter tting which is carried out using the unscented Kalman lter. Two variations of the generic type-3 WTG model (the detailed model and the simpli ed model) have been compared and used for parameter estimation. The detailed model is able to capture the dynamics caused by the converter and thus has been used for parameter tting when inputs are from a fault scenario. On the other hand, the simpli ed model works well for parameter tting when a wind speed disturbance is of interest. Given measurements from PSCAD, the estimated parameters using both models are indeed improvements compared to the original belief of the parameters in terms of prediction error.

Parameter tting will facilitate model validation of the generic dynamic model for type-3 WTGs. In this thesis, a test system including a single 1.5 MW DFIG has been built and tested in the PSCAD/EMTDC environment for dynamic responses. The data generated during these tests have been used as measurements for the parameter tting which is carried out using the unscented Kalman lter. Two variations of the generic type-3 WTG model (the detailed model and the simpli ed model) have been compared and used for parameter estimation. The detailed model is able to capture the dynamics caused by the converter and thus has been used for parameter tting when inputs are from a fault scenario. On the other hand, the simpli ed model works well for parameter tting when a wind speed disturbance is of interest. Given measurements from PSCAD, the estimated parameters using both models are indeed improvements compared to the original belief of the parameters in terms of prediction error.

A small wind turbine blade was designed, fabricated and tested in this study. The power performance of small horizontal axis wind turbines was simulated in detail using modified blade element momentum methods (BEM). Various factors such as tip loss, drag coefficient, and wake were considered. The simulation was validated by experimental data collected from a small wind turbine Bergey XL 1.0. A new blade was designed for the Bergey XL 1.0 after comparing three types of aerodynamic blade structures and their related performance, and then the detailed blade structure was determined. The performance of the new rotor at different additional pitch angles was simulated and compared with the original Bergey XL 1.0 rotor. To fabricate prototypes of the new blades, a resin transfer moulding (RTM) system was designed and built. Three blades were fabricated successfully and installed on the hub of an existing Bergey XL 1.0. In a vehicle-based test system, the new blades were tested at the original designed pitch angle, plus at additional 5° and 9° pitch angles. The +5° rotor reached maximum power of 1889 W at wind velocity 13.6 m/s. The +9° rotor performed over a wider wind velocity range and output slightly lower power than the original Bergey XL 1.0. The new blades have better aerodynamic performance than original Bergey XL 1.0. / Ontario Ministry of Agriculture and Rural Affairs (OMAFRA) New Directions Research Program and the National Sciences and Engineering Research Council (NSERC) Chair in Environmental Design Engineering at the University of Guelph

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As a cost-effective test method, a vehicle-based test rig can be utilized in small wind turbine experimental work to facilitate turbine performance tests under a range of controlled wind speeds, as well as to validate turbulent flow models. The instrumentation of a custom trailer-based mobile wind turbine test rig has been modified to provide a platform for full rotor speed control. A control system coupled to an electric vehicle controller with regenerative braking technology was developed in five steps, namely: system modeling in Simulink, system identification, control system design and analysis, control system implementation in LabVIEW, and Proportional-Integral-Derivative (PID) controller tuning in real-time. A custom Graphical User Interface (GUI) was also developed. Furthermore, a Computational Fluid Dynamics (CFD) analysis was conducted to assess the potential impact of towing vehicle’s disturbance on the free stream available to the rotor disc. This trailer rig will allow up to a 1kW wind turbine. It can be towed behind a vehicle to conduct steady state tests or it can be parked in an open area to collect unsteady field data. It has been tested in a towed scenario and the Blade Element Momentum (BEM) predictions were compared with the obtained aggregate performance curve. / Graduate / 0548 / 0791 / 0544 / khorsand@uvic.ca