Add to ORKGAn algorithm is developed to compute the time averaged, output statistics of a linear system with periodic coefficients forced by stationary white noise. The algorithm makes use of Floquet theory and introduces the averaged system dynamics matrix to obtain more favorable numerical performance. The time series approach to averaged statistics is also examined. Application is made to a wind turbine system with atmospheric turbulence
The power quality of a wind turbine is determined by many factors but time-dependent variation in th...
This paper is concerned with the detection of natural periods and damping factors from uniformlysamp...
When designing a wind energy converison system (WECS), it may be necessary to take into account the ...
Graduation date: 1982An algorithm is developed to compute the time averaged, output\ud statistics of...
In this work a method is described for the stability analysis of wind turbines. The method uses inpu...
Today, the great importance and benefits of renewable energies as a source of endless energy is obvi...
Many important systems, such as turbomachinery, helicopters and wind turbines, must be modeled with ...
In this work, a new method is proposed for the stability analysis of wind turbines. The method uses ...
The stochastic subspace identification (SSI) algorithm is a robust-working method to identify mode s...
In this paper time-frequency methods have been investigated for complex investigations of transient ...
Abstract—Instability is one of shortcomings for wind power. Along with the increasing of the number ...
Udgivelsesdato: SeptemberWind energy has assumed a great relevance in the operation and planning of ...
The paper presents a new stability analysis approach applicable to wind turbines. At first, a reduce...
Wind turbines operate in the atmospheric boundary layer, where they are exposed to the turbulent atm...
In this study we develop and apply new methods of data analysis for high resolution wind power and s...
The power quality of a wind turbine is determined by many factors but time-dependent variation in th...
This paper is concerned with the detection of natural periods and damping factors from uniformlysamp...
When designing a wind energy converison system (WECS), it may be necessary to take into account the ...
Graduation date: 1982An algorithm is developed to compute the time averaged, output\ud statistics of...
In this work a method is described for the stability analysis of wind turbines. The method uses inpu...
Today, the great importance and benefits of renewable energies as a source of endless energy is obvi...
Many important systems, such as turbomachinery, helicopters and wind turbines, must be modeled with ...
In this work, a new method is proposed for the stability analysis of wind turbines. The method uses ...
The stochastic subspace identification (SSI) algorithm is a robust-working method to identify mode s...
In this paper time-frequency methods have been investigated for complex investigations of transient ...
Abstract—Instability is one of shortcomings for wind power. Along with the increasing of the number ...
Udgivelsesdato: SeptemberWind energy has assumed a great relevance in the operation and planning of ...
The paper presents a new stability analysis approach applicable to wind turbines. At first, a reduce...
Wind turbines operate in the atmospheric boundary layer, where they are exposed to the turbulent atm...
In this study we develop and apply new methods of data analysis for high resolution wind power and s...
The power quality of a wind turbine is determined by many factors but time-dependent variation in th...
This paper is concerned with the detection of natural periods and damping factors from uniformlysamp...
When designing a wind energy converison system (WECS), it may be necessary to take into account the ...