The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform

Jung-wook Park - One of the best experts on this subject based on the ideXlab platform.

  • A Study on Optimization of Resistive SFCL for Multi-Machine Power System Using Eigenvalue Analysis
    Journal of International Council on Electrical Engineering, 2014
    Co-Authors: Byung Chul Sung, Jung-wook Park
    Abstract:

    【This paper describes the optimization of a resistive superconducting fault current limiter (SFCL) applied to a multi-machine power system. Since the resistive SFCL is useful to provide a quick protection and reduce the fault current with its unique characteristics during a fault, it can be easily known that the transient stability of the entire system is improved effectively. However, when the SFCL is applied to a complex electric power system, especially a multi-machine power system, its direct optimization is difficult only considering fault conditions of the power system. Therefore, the resistive SFCL is optimized systematically by the Eigenvalue Analysis because it is effective to verify the transient stability and to evaluate the relationship between the parameters of a controller and the stability of the power system. Also, the dynamic effects of the SFCL on all generators of the multi-machine system can be considered synthetically with the Eigenvalue Analysis. Finally, the performance of the optimized SFCL is evaluated by time-domain simulation, and it is shown that that the optimized SFCL improves aggregately the damping performance of low-frequency oscillations in the entire multi-machine power system.】

  • Optimal Parameter Selection of Resistive SFCL Applied to a Power System Using Eigenvalue Analysis
    IEEE Transactions on Applied Superconductivity, 2010
    Co-Authors: Byung Chul Sung, Jung-wook Park
    Abstract:

    This paper describes a study to determine the optimal parameter of a resistive superconducting fault current limiter (SFCL) applied to an electric power grid. The resistive SFCL, which is designed to provide the quick system protection during a fault, affects the entire system by reducing the fault current and improving the transient stability. In order to determine the optimal parameter of the resistive SFCL systematically, the Eigenvalue Analysis for an entire system is used. Generally, the Eigenvalue Analysis is useful to evaluate the relationship between parameter of a controller and stability of an electric power system. Therefore, the optimal parameter of the SFCL is determined based on the Analysis of Eigenvalues corresponding to low-frequency oscillations. Moreover, this optimal parameter obtained by the proposed method is compared with that determined by applying the equal-area criterion. The effectiveness of the optimal parameter for the SFCL is evaluated by time-domain simulation. The results show that the optimal resistive value determined by the Eigenvalue Analysis improves the damping performance of low-frequency oscillations effectively.

P.e. Battaiotto - One of the best experts on this subject based on the ideXlab platform.

  • Impact of wind farms on a power system. An Eigenvalue Analysis approach
    Renewable Energy, 2007
    Co-Authors: R.d. Fernández, Ricardo J. Mantz, P.e. Battaiotto
    Abstract:

    This paper analyzes the frequency dynamic behavior in a power system with a high wind power penetration. To this end, wind farms equipped with squirrel cage and doubly fed induction generators are compared. Aspects of the modeling of the different kinds of wind generation and power systems are cited. Then, it is shown, through an Eigenvalue Analysis, that wind farms equipped by doubly fed induction machines, adequately controlled, can contribute to improve the frequency dynamics. Simulations are presented which verify the theoretical results.

Ulrich Hetmaniuk - One of the best experts on this subject based on the ideXlab platform.

Byung Chul Sung - One of the best experts on this subject based on the ideXlab platform.

  • A Study on Optimization of Resistive SFCL for Multi-Machine Power System Using Eigenvalue Analysis
    Journal of International Council on Electrical Engineering, 2014
    Co-Authors: Byung Chul Sung, Jung-wook Park
    Abstract:

    【This paper describes the optimization of a resistive superconducting fault current limiter (SFCL) applied to a multi-machine power system. Since the resistive SFCL is useful to provide a quick protection and reduce the fault current with its unique characteristics during a fault, it can be easily known that the transient stability of the entire system is improved effectively. However, when the SFCL is applied to a complex electric power system, especially a multi-machine power system, its direct optimization is difficult only considering fault conditions of the power system. Therefore, the resistive SFCL is optimized systematically by the Eigenvalue Analysis because it is effective to verify the transient stability and to evaluate the relationship between the parameters of a controller and the stability of the power system. Also, the dynamic effects of the SFCL on all generators of the multi-machine system can be considered synthetically with the Eigenvalue Analysis. Finally, the performance of the optimized SFCL is evaluated by time-domain simulation, and it is shown that that the optimized SFCL improves aggregately the damping performance of low-frequency oscillations in the entire multi-machine power system.】

  • Optimal Parameter Selection of Resistive SFCL Applied to a Power System Using Eigenvalue Analysis
    IEEE Transactions on Applied Superconductivity, 2010
    Co-Authors: Byung Chul Sung, Jung-wook Park
    Abstract:

    This paper describes a study to determine the optimal parameter of a resistive superconducting fault current limiter (SFCL) applied to an electric power grid. The resistive SFCL, which is designed to provide the quick system protection during a fault, affects the entire system by reducing the fault current and improving the transient stability. In order to determine the optimal parameter of the resistive SFCL systematically, the Eigenvalue Analysis for an entire system is used. Generally, the Eigenvalue Analysis is useful to evaluate the relationship between parameter of a controller and stability of an electric power system. Therefore, the optimal parameter of the SFCL is determined based on the Analysis of Eigenvalues corresponding to low-frequency oscillations. Moreover, this optimal parameter obtained by the proposed method is compared with that determined by applying the equal-area criterion. The effectiveness of the optimal parameter for the SFCL is evaluated by time-domain simulation. The results show that the optimal resistive value determined by the Eigenvalue Analysis improves the damping performance of low-frequency oscillations effectively.

Antonio M. Recuero - One of the best experts on this subject based on the ideXlab platform.

  • Description of Methods for the Eigenvalue Analysis of Railroad Vehicles Including Track Flexibility
    Journal of Computational and Nonlinear Dynamics, 2012
    Co-Authors: José L. Escalona, Rosario Chamorro, Antonio M. Recuero
    Abstract:

    The stability Analysis of railroad vehicles using Eigenvalue Analysis can provide essential information about the stability of the motion, ride quality, or passengers’ comfort. The Eigenvalue Analysis follows three steps: calculation of steady motion, linearization of the equations of motion, and Eigenvalue calculation. This paper deals with different numerical methods that can be used for the Eigenvalue Analysis of multibody models of railroad vehicles that can include deformable tracks. Depending on the degree of nonlinearity of the model and coordinate selection, different methodologies can be used. A direct Eigenvalue Analysis is used to analyze the vehicle dynamics from the differential-algebraic equations of motion written in terms of a set of constrained coordinates. As an alternative, the equations of motion can be obtained in terms of independent coordinates taking the form of ordinary differential equations. This procedure requires more computations, but the interpretation of the results is straightforward.

  • Eigenvalue Analysis of Multibody Models of Railroad Vehicles Including Track Flexibility
    Volume 4: 8th International Conference on Multibody Systems Nonlinear Dynamics and Control Parts A and B, 2011
    Co-Authors: José L. Escalona, Rosario Chamorro, Antonio M. Recuero
    Abstract:

    The stability Analysis of railroad vehicles using Eigenvalue Analysis can provide essential information about the stability of the motion, ride quality or passengers comfort. The system Eigenvalues are not in general a vehicle property but a property of a vehicle travelling steadily on a periodic track. Therefore the Eigenvalue Analysis follows three steps: calculation of steady motion, linearization of the equations of motion and Eigenvalue calculation. This paper deals with different numerical methods that can be used for the Eigenvalue Analysis of multibody models of railroad vehicles that can include deformable tracks. Depending on the degree of nonlinearity of the model, coordinate selection or the coordinate system used for the description of the motion, different methodologies are used in the Eigenvalue Analysis. A direct Eigenvalue Analysis is used to analyse the vehicle dynamics from the differential-algebraic equations of motion written in terms of a set of constrained coordinates. In this case not all the obtained Eigenvalues are related to the dynamics of the system. As an alternative the equations of motion can be obtained in terms of independent coordinates taking the form of ordinary differential equations. This procedure requires more computations but the interpretation of the results is straightforward.Copyright © 2011 by ASME

  • Study of nonlinear system stability using Eigenvalue Analysis: Gyroscopic motion
    Journal of Sound and Vibration, 2011
    Co-Authors: Ahmed A. Shabana, Antonio M. Recuero, Mohamed H. Zaher, Cheta Rathod
    Abstract:

    Abstract General computational multibody system (MBS) algorithms allow for the linearization of the highly nonlinear equations of motion at different points in time in order to obtain the Eigenvalue solution. This Eigenvalue solution of the linearized equations is often used to shed light on the system stability at different configurations that correspond to different time points. Different MBS algorithms, however, employ different sets of orientation coordinates, such as Euler angles and Euler parameters, which lead to different forms of the dynamic equations of motion. As a consequence, the forms of the linearized equations and the Eigenvalue solution obtained strongly depend on the set of orientation coordinates used. This paper addresses this fundamental issue by examining the effect of the use of different orientation parameters on the linearized equations of a gyroscope. The nonlinear equations of motion of the gyroscope are formulated using two different sets of orientation parameters: Euler angles and Euler parameters. In order to obtain a set of linearized equations that can be used to define the Eigenvalue solution, the algebraic equations that describe the MBS constraints are systematically eliminated leading to a nonlinear form of the equations of motion expressed in terms of the system degrees of freedom. Because in MBS applications the generalized forces can be highly nonlinear and can depend on the velocities, a state space formulation is used to solve the Eigenvalue problem. It is shown in this paper that the independent state equations formulated using Euler angles and Euler parameters lead to different Eigenvalue solutions. This solution is also different from the solution obtained using a form of the Newton–Euler matrix equation expressed in terms of the angular accelerations and angular velocities. A time-domain solution of the linearized equations is also presented in order to compare between the solutions obtained using two different sets of orientation parameters and also to shed light on the important issue of using the Eigenvalue Analysis in the study of MBS stability. The validity of using the Eigenvalue Analysis based on the linearization of the nonlinear equations of motion in the study of the stability of railroad vehicle systems, which have known critical speeds, is examined. It is shown that such an Eigenvalue Analysis can lead to wrong conclusions regarding the stability of nonlinear systems.