Modeling and Simulation of Windgenerator with Fixed Speed Wind Turbine Under Matlab-Simulink

Saheb-Koussa, Djohra; Haddadi, M.; Belhamel, M.; Koussa, Mustapha; Settou, Noureddine

doi:10.1016/j.egypro.2012.05.085

Cited by 23 publications

(12 citation statements)

References 8 publications

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“…In the model shown in Figure 12, C i p , λ i , β i , and T i rot are the aerodynamic power coefficient, speed ratio, pitch angle, and aerodynamic torque of the ith WTG, respectively. These components can be modelled by (13)-(15) [57].…”

Section: Fixed-speed Wind Turbine Generator Modelmentioning

confidence: 99%

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Assessing the Use of Reinforcement Learning for Integrated Voltage/Frequency Control in AC Microgrids

2020

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The main purpose of this paper is to present a novel algorithmic reinforcement learning (RL) method for damping the voltage and frequency oscillations in a micro-grid (MG) with penetration of wind turbine generators (WTG). First, the continuous-time environment of the system is discretized to a definite number of states to form the Markov decision process (MDP). To solve the modeled discrete RL-based problem, Q-learning method, which is a model-free and simple iterative solution mechanism is used. Therefore, the presented control strategy is adaptive and it is suitable for the realistic power systems with high nonlinearities. The proposed adaptive RL controller has a supervisory nature that can improve the performance of any kind of controllers by adding an offset signal to the output control signal of them. Here, a part of Denmark distribution system is considered and the dynamic performance of the suggested control mechanism is evaluated and compared with fuzzy-proportional integral derivative (PID) and classical PID controllers. Simulations are carried out in two realistic and challenging scenarios considering system parameters changing. Results indicate that the proposed control strategy has an excellent dynamic response compared to fuzzy-PID and traditional PID controllers for damping the voltage and frequency oscillations.

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Section: Fixed-speed Wind Turbine Generator Modelmentioning

confidence: 99%

“…The modified model of the gas turbine of combined heat and power (CHP) with an extra adaptive controller[57].…”

mentioning

confidence: 99%

Assessing the Use of Reinforcement Learning for Integrated Voltage/Frequency Control in AC Microgrids

2020

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“…Wind turbines can rotate at a fixed speed where the optimum energy conversion takes place at a specific wind speed or at variable speed which has a more complicated electrical design [7] but is efficient over a wind speed range. The fixed speed of the wind turbine technology depends on the gearbox ratio, frequency of the grid and the electrical generator design characteristics [8].…”

Section: Speed Characteristics Of Wind Turbinesmentioning

confidence: 99%

“…Fixed speed wind turbines are rugged, cost effective to build but experience higher power fluctuations as a result of the constant generator speed against varying wind speeds [7]. These turbines unfortunately draw large reactive power from the grid which are compensated for by installing power factor correction capacitors.…”

Section: Speed Characteristics Of Wind Turbinesmentioning

confidence: 99%

Preventive Maintenance and Fault Detection for Wind Turbine Generators Using a Statistical Model

Kuiler¹,

Adonis²,

Raji³

2018

Fault Detection and Diagnosis

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Vigilant fault diagnosis and preventive maintenance has the potential to significantly decrease costs associated with wind generators. As wind energy continues the upward growth in technology and continued worldwide adoption and implementation, the application of fault diagnosis techniques will become more imperative. Fault diagnosis and preventive maintenance techniques for wind turbine generators are still at an early stage compared to matured strategies used for generators in conventional power plants. The cost of wind energy can be further reduced if failures are predicted in advance of a major structural failure, which leads to less unplanned maintenance. High maintenance cost of wind turbines means that predictive strategies like fault diagnosis and preventive maintenance techniques are necessary to manage life cycle costs of critical components. Squirrel-Cage Induction Generators (SCIG) are the prevailing generator type and are more robust and cheaper to manufacturer compared to other generator types used in wind turbines. A statistical model was developed using SCADA data to estimate the relationships between winding temperatures and other variables. Predicting faults in stator windings are challenging because the unhealthy condition rapidly evolves into a functional failure.

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“…A lot of recent research focused on modelling/simulation of this WTG type [7]- [11]. Modelling and simulation allow researchers to predict unwanted phenomena not only for transient state but also for permanent state of the system.…”

Section: Introductionmentioning

confidence: 99%

Transient Stability Analysis during an Improved Coupling Procedure for an Induction Generator Based Wind Generation System to the Grid

Kammoun¹,

Marrekchi²,

Sallem³

et al. 2014

IJMNTA

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Modeling and Simulation of Windgenerator with Fixed Speed Wind Turbine Under Matlab-Simulink

Cited by 23 publications

References 8 publications

Assessing the Use of Reinforcement Learning for Integrated Voltage/Frequency Control in AC Microgrids

Assessing the Use of Reinforcement Learning for Integrated Voltage/Frequency Control in AC Microgrids

Preventive Maintenance and Fault Detection for Wind Turbine Generators Using a Statistical Model

Transient Stability Analysis during an Improved Coupling Procedure for an Induction Generator Based Wind Generation System to the Grid

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