Comparative study of different implementations for induction machine model in Matlab/Simulink for wind turbine simulations

2003 ◽  
Author(s):  
F. Iov ◽  
F. Blaabjergg ◽  
A.D. Hansen ◽  
Z. Chen
Keyword(s):  
Comparative Study ◽  
Wind Turbine ◽  
Induction Machine ◽  
Machine Model ◽  
Matlab Simulink

Model DFIG Pembangkit Listrik Tenaga Angin Sebagai Suatu Unit Pembangkit Tersebar

2017 ◽  
Vol 8 (2) ◽  
pp. 55-60
Author(s):  
Ramadoni Syahputra ◽  
Imam Robandi ◽  
Mochamad Ashari
Keyword(s):  
Wind Turbine ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Control Unit ◽  
Voltage Regulation ◽  
Induction Generator ◽  
Machine Model ◽  
Worst Case ◽  
Matlab Simulink ◽  
Doubly Fed

In this paper, we present the doubly-fed induction generator (DFIG) model in a wind turbine system as a unit of the distributed generator. The wind turbine driven by doubly-fed induction machine is a part of the distributed generation which feeds ac power to the distribution network.  The system is modeled and simulated in the Matlab Simulink environment in such a way that it can be suited for modeling of all types of induction generator configurations. The model makes use of rotor reference frame using a dynamic vector approach for machine model. The fuzzy logic controller is applied to the rotor side converter for active power control and voltage regulation of wind turbine. Wind turbine and its control unit are described in details. All power system components and the fuzzy controller are simulated in Matlab Simulink software. For studying the performance of the controller, different abnormal conditions are applied even the worst case. Simulation results prove the excellent performance of the fuzzy controller unit as improving power quality and stability of the wind turbine.

scholarly journals The Use of a Real-Time Simulator for Analysis of Power Grid Operation States with a Wind Turbine

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2327
Author(s):  
Zbigniew Kłosowski ◽  
Sławomir Cieślik
Keyword(s):  
Differential Equations ◽  
Power Systems ◽  
Wind Turbine ◽  
Real Time ◽  
Power Transformer ◽  
Power Grid ◽  
Induction Machine ◽  
Integration Step ◽  
Machine Model ◽  
The Real

The main issue in this paper is the real-time simulator of a part of a power grid with a wind turbine. The simulator is constructed on the basis of a classic PC running under a classic operating system. The proposed solution is expected and desired by users who intend to manage power microgrids as separate (but not autonomous) areas of common national power systems. The main reason for the decreased interest in real-time simulators solutions built on the basis of PC is the simulation instability. The instability of the simulation is due to not keeping with accurate results when using small integration steps and loss of accuracy or loss of stability when using large integration steps. The second obstacle was due to the lack of a method for integrating differential equations, which gives accurate results with a large integration step. This is the scientific problem that is solved in this paper. A new solution is the use of a new method for integrating differential equations based on average voltage in the integration step (AVIS). This paper shows that the applied AVIS method, compared to other methods proposed in the literature (in the context of real-time simulators), allows to maintain simulation stability and accurate results with the use of large integration steps. A new (in the context of the application of the AVIS method) mathematical model of a power transformer is described in detail, taking into account the nonlinearity of the magnetization characteristics. This model, together with the new doubly-fed induction machine model (described in the authors’ previous article), was implemented in PC-based hardware. In this paper, we present the results of research on the operation states of such a developed real-time simulator over a long period (one week). In this way, the effectiveness of the operation of the real-time simulator proposed in the paper was proved.

Model DFIG Pembangkit Listrik Tenaga Angin Sebagai Suatu Unit Pembangkit Tersebar

2017 ◽  
Vol 8 (2) ◽  
pp. 55-60
Author(s):  
Ramadoni Syahputra ◽  
Imam Robandi ◽  
Mochamad Ashari
Keyword(s):  
Wind Turbine ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Control Unit ◽  
Voltage Regulation ◽  
Induction Generator ◽  
Machine Model ◽  
Worst Case ◽  
Matlab Simulink ◽  
Doubly Fed

In this paper, we present the doubly-fed induction generator (DFIG) model in a wind turbine system as a unit of the distributed generator. The wind turbine driven by doubly-fed induction machine is a part of the distributed generation which feeds ac power to the distribution network.  The system is modeled and simulated in the Matlab Simulink environment in such a way that it can be suited for modeling of all types of induction generator configurations. The model makes use of rotor reference frame using a dynamic vector approach for machine model. The fuzzy logic controller is applied to the rotor side converter for active power control and voltage regulation of wind turbine. Wind turbine and its control unit are described in details. All power system components and the fuzzy controller are simulated in Matlab Simulink software. For studying the performance of the controller, different abnormal conditions are applied even the worst case. Simulation results prove the excellent performance of the fuzzy controller unit as improving power quality and stability of the wind turbine.

An Integrative Framework for Design and Control Optimization of a Variable-Ratio Gearbox in a Wind Turbine With Active Blades

2016 ◽  
Author(s):  
Amrita Lall ◽  
Hamid Khakpour Nejadkhaki ◽  
John Hall
Keyword(s):  
Cost Function ◽  
Wind Turbine ◽  
Low Cost ◽  
Electrical Power ◽  
Induction Machine ◽  
Power Production ◽  
Wind Data ◽  
Variable Ratio ◽  
Machine Model ◽  
Blade Root

A variable ratio gearbox (VRG) provides discrete variable rotor speed operation, and thus increases wind capture, for small fixed-speed wind turbines. It is a low-cost, reliable alternative to conventional variable speed operation, which requires special power-conditioning equipment. The authors’ previous work has demonstrated the benefit of using a VRG in a fixed-speed system with passive blades. This work characterizes the performance of the VRG when used with active blades. The main contribution of the study is an integrative design framework that maximizes power production while mitigating stress in the blade root. As part of the procedure, three gear ratios are selected for the VRG. It establishes the control rules by defining the gear ratio and pitch angle used in relation to wind speed and mechanical torque. A 300 kW wind turbine model is used for a case study that demonstrates how the framework is implemented. The model consists of aerodynamic, mechanical, and electrical submodels, which work collaboratively to convert kinetic air to electrical power. Blade element momentum theory is used in the aerodynamic model to compute the blade loads. The resulting torque is passed through a mechanical system and subsequently to the induction machine model to generate power. The BEM method also provides the thrust and bending loads that contribute to blade-root stress. The stress in the root of the blade is also computed in response to these loads, as well as those caused by gravity and centrifugal force. Two case studies are performed using wind data that was obtained from the National Renewable Energy Laboratory (NREL). Each of these represents an installation site with a unique set of wind conditions that are used to customize the wind turbine design. The framework uses dynamic programming to simulate the performance of an exhaustive set of combinations. Each combination is evaluated over each set of recorded wind data. The combinations are evaluated in terms of the total energy and stress that is produced over the simulation period. Weights are applied to a multi-objective cost function that identifies the optimal design configurations with respect to the design objectives. As a final design step, a VRG combination is selected, and a control algorithm is established for each set of wind data. During operation, the cost function can also be used to bias the system towards higher power production or lower stress. The results suggest a VRG can improve wind energy production in Region 2 by roughly 10% in both the low and high wind regions. In both cases, stress is also increased in Region 2, as the power increases. However, the stress in Region 3 may be reduced for some wind speeds through the optimal selection of gear combinations.

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