The Experts below are selected from a list of 315 Experts worldwide ranked by ideXlab platform

J. F. Mayer - One of the best experts on this subject based on the ideXlab platform.

  • Steady-state characteristics of synchronous machine-line-commutated converter systems
    IEEE Transactions on Energy Conversion, 2002
    Co-Authors: M. Demiroglu, J. F. Mayer
    Abstract:

    A steady-state model of a synchronous machine-line-commutated converter pair is obtained from a dynamic average-value model of the system that accurately accounts for subtransient saliency of the machine. This steady-state model is comprised exclusively of linear and nonlinear algebraic equations that relate key variables of the system. Various algorithms for solving these equations to generate characteristics that relate two or three of these variables at a time are described. Specific characteristics that are illustrated include machine torque versus Firing Angle for constant dc current and dc voltage versus dc current for constant Firing Angle.

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

  • Steady-state characteristics of synchronous machine-line-commutated converter systems
    IEEE Transactions on Energy Conversion, 2002
    Co-Authors: M. Demiroglu, J. F. Mayer
    Abstract:

    A steady-state model of a synchronous machine-line-commutated converter pair is obtained from a dynamic average-value model of the system that accurately accounts for subtransient saliency of the machine. This steady-state model is comprised exclusively of linear and nonlinear algebraic equations that relate key variables of the system. Various algorithms for solving these equations to generate characteristics that relate two or three of these variables at a time are described. Specific characteristics that are illustrated include machine torque versus Firing Angle for constant dc current and dc voltage versus dc current for constant Firing Angle.

Želmíra Ferková - One of the best experts on this subject based on the ideXlab platform.

  • Comparison of an Off-Line Optimized Firing Angle Modulation and Torque Sharing Functions for Switched Reluctance Motor Control
    Energies, 2020
    Co-Authors: Peter Bober, Želmíra Ferková
    Abstract:

    In this paper, a comparison of the simple Firing Angle modulation method (FAM) and the more advanced torque sharing function (TSF)-based control of switched reluctance motor (SRM) is presented. The off-line procedure to tailor and optimize the parameters of chosen methods for off-the-shelf SRM is explained. Objective functions for optimization are motor efficiency, torque ripple, and integral square error. The off-line optimization uses a finite element method (FEM) model of the SRM. The model was verified by measurement on the SRM. Simulation results showed that FAM has comparable efficiency to TSF, but has a much higher value of torque ripple. The presented off-line procedure can be used for single or multi-objective optimization.

A.m. Mohammad - One of the best experts on this subject based on the ideXlab platform.

  • Improvement of synchronous generator damping through superconducting magnetic energy storage systems
    IEEE Transactions on Energy Conversion, 1994
    Co-Authors: A.h.m.a. Rahim, A.m. Mohammad
    Abstract:

    Stabilization of a synchronous generator through control of Firing Angle of the power converters in superconducting magnetic energy storage (SMES) systems is considered. An optimum strategy of the Firing Angle control is designed so as to eliminate the transients in minimum time. A nonlinear model of a synchronous generator, its governor and exciter systems, and an SMES system connected to the generator terminal is considered. The optimum Firing Angle control is derived retaining the nonlinearities of the system dynamics. Digital simulation results indicate that the proposed strategy controls the slowly growing as well as first swing instabilities very effectively. >

F Rashidi - One of the best experts on this subject based on the ideXlab platform.

  • transient stability improvement in power systems via Firing Angle control of tcsc using context based emotional controller
    World Automation Congress, 2004
    Co-Authors: C Lucas, F Rashidi, J Abdi
    Abstract:

    This paper proposes a Context Based Emotional Controller (CBEC) to Thyrislor Controlled Series Capacitor (TCSC), which might have a significant impact on power system dynamics. The role of a CBEC is to control a Firing Angle of the TCSC. In this case, the CBEC is used for damping the low frequency oscillations caused by disturbances such 3s a sudden change of small or large loads or an outage in the generators or transmission lines. To evaluate the usefulness of the proposed method, we compare the response of CBEC with fumy PI) controller. The simulation results show that our method has the better control performance than fuzzy PD controller.

  • Firing Angle control of tcsc using emotional learning based fuzzy controller
    Systems Man and Cybernetics, 2003
    Co-Authors: M Rashidi, F Rashidi
    Abstract:

    This paper proposes an Emotional Learning Based Fuzzy Controller (ELBFC) to Thyristor Controlled Series Capacitor (TCSC), which might have a significant impact on power system dynamics. The role of the ELBFC is to control of Firing Angle of the TCSC. In this case, the ELBFC is used for damping the low frequency oscillations caused by disturbances such as a sudden change of small or large loads or an outage in the generators or transmission lines. To evaluate the usefulness of the proposed method, we compare the response of ELBFC with fuzzy PD controller. The simulation results show that our method has the better control performance than fuzzy PD controller.

  • SMC - Firing Angle control of TCSC using Emotional Learning Based Fuzzy Controller
    SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems Man and Cybernetics. Conference Theme - System Security and Assurance (Ca, 1
    Co-Authors: M Rashidi, F Rashidi
    Abstract:

    This paper proposes an Emotional Learning Based Fuzzy Controller (ELBFC) to Thyristor Controlled Series Capacitor (TCSC), which might have a significant impact on power system dynamics. The role of the ELBFC is to control of Firing Angle of the TCSC. In this case, the ELBFC is used for damping the low frequency oscillations caused by disturbances such as a sudden change of small or large loads or an outage in the generators or transmission lines. To evaluate the usefulness of the proposed method, we compare the response of ELBFC with fuzzy PD controller. The simulation results show that our method has the better control performance than fuzzy PD controller.