Comparative study on transient stability analysis of wind turbine generator system using different drive train models

Muyeen, S. M.; Ali, Md. Hasan; Takahashi, Rion; Murata, Toshiaki; Tamura, Junji; Tomaki, Yuichi; Sakahara, Atsushi; Sasano, Eiichi

doi:10.1049/iet-rpg:20060030

Cited by 201 publications

(103 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…6 and its corresponding equation in Eq. (8). We see from both the equation and the figure that flow is given to the element/equation and it gives the effort in return.…”

Section: Source Elementmentioning

confidence: 96%

See 1 more Smart Citation

Bond graph modeling and simulation of wind turbine systems

Bakka

Karimi

2013

J Mech Sci Technol

View full text Add to dashboard Cite

This paper addresses the problem of bond graph methodology as a graphical approach for the modeling of wind turbine generating systems. The purpose of this paper is to show some of the benefits the bond graph approach has, in contributing a model for wind turbine systems. We will present a nonlinear model of a wind turbine generating system, containing blade pitch, drive train, tower motion and generator. All which will be modeled by means of bond graph. We will especially focus on the drive train, and show the difference between modeling with a classical mechanical method and by using bond graph. The model consists of realistic parameters, but we are not trying to validate a specific wind turbine generating system. Simulations are carried out in the bond graph simulation software 20-sim [1].

show abstract

“…6 and its corresponding equation in Eq. (8). We see from both the equation and the figure that flow is given to the element/equation and it gives the effort in return.…”

Section: Source Elementmentioning

confidence: 96%

“…In Ref. [8] a six-, three-and a two-mass model are compared with each other. They argue that a six-mass model is needed for the precise transient analysis of the wind turbine system, and they develop a way to transform a sixmass model into a two-mass model.…”

Section: Introductionmentioning

confidence: 99%

Bond graph modeling and simulation of wind turbine systems

Bakka

Karimi

2013

J Mech Sci Technol

View full text Add to dashboard Cite

show abstract

“…generator and capacitor. The procedures of modeling the WTG are available in various literatures [8]- [10]. The WTG is modeled according to [11] as a fixed pitch and fixed speed wind turbine in this case.…”

Section: Modeling Of Wind Turbine Generatormentioning

confidence: 99%

Modeling of the CIGRE Low Voltage Test Distribution Network and the Development of Appropriate Controllers

Mustafa

Bak‐Jensen

Mahat

2013

SGCE

View full text Add to dashboard Cite

The fluctuating nature of some of the Distributed Generation (DG) sources can cause power quality related problems like power frequency oscillations, voltage fluctuations etc. In future, the DG penetration is expected to increase and hence this requires some control actions to deal with the power quality issues. The main focus of this paper is on development of controllers for a distribution system with different DG's and especially development of a Photovoltaic (PV) controller using a Static Compensator (STATCOM) controller and on modeling of a Battery Storage System (BSS) also based on a STATCOM controller. The control system is tested in the distribution test network set up by CIGRE. The new approach of the PV controller is done in such a way that it can control AC and DC voltage of the PV converter during dynamic conditions. The battery controller is also developed in such a way that it can control its charge/discharge rate and also the reactive power flow through the lines in order to improve the power factor. Simulation results shows that the controllers are able achieve a good power quality in the test grid.

show abstract

“…Moreover, the stochastic characteristic of wind speed causes the the frequent switchings of wind turbine operating points, which brings further difficulty for control design to satisfy the above mentioned control strategy. Many authors have widely applied the modern control theory in the design of wind turbine control, such as linear-parameter-varying (LPV) control, model predictive control (MPC) or nonlinear feedback control, see [7,8,9,10,11,12,13,18,19,33,21,22,23,28,29,30,33]. Especially, [7] and [8] have designed the control law for wind turbine based on the gain scheduling method, where the switching law is satisfying a specific condition.…”

Section: Introductionmentioning

confidence: 99%

MixedH₂/H_∞pitch control of wind turbine with a Markovian jump model

Lin

Liu

et al. 2017

International Journal of Control

View full text Add to dashboard Cite

Abstract-This paper proposes a Markovian jump model and the corresponding H 2 /H ∞ control strategy for the wind turbine driven by the stochastic switching wind speed, which can be used to regulate the generator speed in order to harvest the rated power while reducing the fatigue loads on the mechanical side of wind turbine. Through sampling the low-frequency wind speed data into separate intervals, the stochastic characteristic of the steady wind speed can be represented as a Markov process, while the high-frequency wind speed in the each interval is regarded as the disturbance input. Then, the traditional operating points of wind turbine can be divided into separate subregions correspondingly, where the model parameters and the control mode can be fixed in each mode. Then, the mixed H 2 /H ∞ control problem is discussed for such a class of Markovian jump wind turbine working above the rated wind speed to guarantee both the disturbance rejection and the mechanical loads objectives, which can reduce the power volatility and the generator torque fluctuation of the whole transmission mechanism efficiently. Simulation results for a 2 MW wind turbine show the effectiveness of the proposed method.

show abstract

Comparative study on transient stability analysis of wind turbine generator system using different drive train models

Cited by 201 publications

References 16 publications

Bond graph modeling and simulation of wind turbine systems

Bond graph modeling and simulation of wind turbine systems

Modeling of the CIGRE Low Voltage Test Distribution Network and the Development of Appropriate Controllers

MixedH₂/H_∞pitch control of wind turbine with a Markovian jump model

Contact Info

Product

Resources

About

Comparative study on transient stability analysis of wind turbine generator system using different drive train models

Cited by 201 publications

References 16 publications

Bond graph modeling and simulation of wind turbine systems

Bond graph modeling and simulation of wind turbine systems

Modeling of the CIGRE Low Voltage Test Distribution Network and the Development of Appropriate Controllers

MixedH2/H∞pitch control of wind turbine with a Markovian jump model

Contact Info

Product

Resources

About

MixedH₂/H_∞pitch control of wind turbine with a Markovian jump model