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Tuesday, August 4, 2020 | History

2 edition of Performance and parameter prediction of large synchronous machines from physical dimensions found in the catalog.

Performance and parameter prediction of large synchronous machines from physical dimensions

David D. Heberle

Performance and parameter prediction of large synchronous machines from physical dimensions

by David D. Heberle

  • 283 Want to read
  • 40 Currently reading

Published .
Written in English

    Subjects:
  • Electric motors, Synchronous -- Computer programs.,
  • Electric generators -- Alternating current -- Computer programs.

  • Edition Notes

    Statementby David D. Heberle.
    The Physical Object
    Pagination141 leaves, bound. :
    Number of Pages141
    ID Numbers
    Open LibraryOL15204538M

    In this paper we present the results of a time-domain identification procedure to estimate the linear parameters of a salient-pole synchronous machine at standstill. A new approach is proposed for the estimation of synchronous machine coupled to DC-chopper and Pseudo Random Binary Sequences excitations; using data recorded during steady-state operation of the chopper-machine unit. transformers, reactive power generation from synchronous machines, active and reactive power consumption by voltage dependent loads, etc. As mentioned above, the functions f are non-linear, which makes the equations harder to solve. For the solution of the equations, the linearization ∂f ∂x ∆x = ∆y () is quite often used and solved.

    Synchronous Machines Design OUTPUT EQUATION: It gives the relationship between electrical rating and physical dimensions (Q uantities) The rating is given by Q 3V I 10 3 KVA (1) Ph Ph 3 10 3 (1) Q K 1 f 1N I KVA pd Ph Ph.   Parameter estimation results using on-site measured DFR data show that the machine parameters are estimated accurately for most parameters of interest. 44 Reference E. Kyriakides and G. T. Heydt, “Estimation of synchronous generator parameters using an observer for damper currents and a graphical user interface” Journal of Electric.

    This study deals with the problem of fiber-free optical communication systems—known as free space optics—using received signal strength identifier (RSSI) prediction analysis for hard switching of optical fiber-free link to base radio-frequency (RF) link and back. Adverse influences affecting the atmospheric transmission channel significantly impair optical communications, therefore. A parameter (from the Ancient Greek παρά, para: "beside", "subsidiary"; and μέτρον, metron: "measure"), generally, is any characteristic that can help in defining or classifying a particular system (meaning an event, project, object, situation, etc.). That is, a parameter is an element of a system that is useful, or critical, when identifying the system, or when evaluating its.


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Performance and parameter prediction of large synchronous machines from physical dimensions by David D. Heberle Download PDF EPUB FB2

Attribute Name Values; Creator: Heberle, David D. Abstract: A project funded by the Southern California Edison (SCE) Company, Research Center of Irwindale, California, has supported the development of a performance and parameter prediction software program for use during the refurbishment of large synchronous machines, turbine generators, and synchronous : David D.

Heberle. The machine-learning algorithms have been proven to be a powerful tool for parameter prediction. Given the yearlong data acquired from the SMC-EV, the LSTM networks can realize synchronous multi-parameter prediction of battery systems for all Cited by: 4.

The theory and basic characteristics of synchronous machines was presented in chapter 5. In this chapter, these machine characteristics will be used to study the performance and application of these machines. Synchronous generators.

In the present paper the problem of parameter identification of synchronous machines is accessed with emphasis on the use of modern digital technology instrumentation.

A data case of a large hydrogenerator is described, and the curve fitting method. parameters. The models and the procedures to identify the parameters of synchronous, induction, and switched reluctance machines using experimental data will be presented.

CASE STUDY: THE EFFECTS OF NOISE ON FREQUENCY-DOMAIN PARAMETER ESTIMATION OF SYNCHRONOUS MACHINE PROBLEM DESCRIPTIONFile Size: 2MB. This paper investigates the application of the model predictive control (MPC) approach to control the speed of a permanent magnet synchronous motor (PMSM) drive system.

The MPC is used to calculate the optimal control actions including system constraints. To alleviate computational effort and to reduce numerical problems, particularly in large prediction horizon, an exponentially weighted.

On the basis of the aforementioned auxiliary strategies and forecasting approach, the brief procedures of the proposed compound wind speed forecasting framework compositing TVF-EMD, FE-based adaptive subseries recombination, synchronous optimization for parameter optimization and feature selection, QRConvSLSTM-based principal prediction and REC models as well as KDE are illustrated as follows.

control unit of synchronous generator, the excitation system and its dynamic performance has a direct impact on generators’ stability and reliability [1]. When the behavior of the synchronous machines is to be simulated accurately in power system stability case, it is essential that the excitation systems of the synchronous.

important parameter as it greatly affects the performance of the machine. Air gap in synchronous machine affects the value of SCR and hence it influences many other parameters. Hence, choice of air gap length is very critical in case of synchronous machines.

Following are the advantages and disadvantages of larger air gap. Advantages. Synchronous Machines • The inductance of the stator winding depends on the rotor position • Energy is stored in the inductance • As the rotor moves, there is a change in the energy stored • Either energy is extracted from the magnetic field (and becomes mechanical energy – that is, its is a motor) • Or energy is stored in the magnetic field and.

domain analysis of the synchronous machine. The new circuit models are tliouglit to be more physically appropriate for describing the machine performance. The accuracy of the developed circuit models is comparable to that of the third order conventional circuit models, but with a fewer number of circuit parameters.

Classical, Lumped-Parameter Synchronous Machine: Now we are in a position to examine the simplest model of a polyphase synchronous machine. Suppose we have a machine in which the rotor is the same as the one we were considering, but the stator has three separate windings, identical but with spatial orientation separated by an electrical.

Class Notes 9: Synchronous Machine Simulation Models c James L. Kirtley Jr. 1 Introduction In this document we develop models useful for calculating the dynamic behavior of synchronous machines.

We start with a commonly accepted picture of the synchronous machine, assuming that. From inside the book. What people are saying - Write a review. We haven't found any reviews in the usual places. Contents.

CHAPTER. 6: STARTING TORQUE. Other editions - View all. Synchronous Machines: Theory and Performance Charles Concordia Snippet view - Common terms and phrases. The peripheral speed of the rotor is m/s and the length of the air gap is 20mm. Find the kVA output of the machine when the coils are (i) full pitched (ii) short chorded by 1/3rd pole pitch.

The winding is infinitely distributed with a phase spread of Soln: Synchronous speed Ns =. This paper presents the results of a time-domain identification procedure to estimate the linear parameters of a salient-pole synchronous machine at standstill. In this study, several input signals are used to identify the model structure and parameters of a salient-pole synchronous machine.

The procedure consists to define, to conduct the standstill tests and also to identify the. Field Voltage, Current, and RL Values Referred to the Stator. The field parameters to enter in the Synchronous Machine SI Fundamental block are the field resistance and leakage inductance referred to the stator (R f, L lfd).

If the nominal field current i fn is known, the transformation ratio N s /N f is calculated using the same equation as for the stator/field transformation ratio. for performance prediction of large parallel machines. In the rest of this section, we will present the simula-tion techniques and optimizations we explored in the perfor-mance prediction of parallel applications with simulations using different degrees of fidelity.

Parallel Discrete Event Simulation. Determination of parameters is required for modeling and performance analysis of electrical machines. As permanent magnet synchronous machines (PMSMs) do not have a plethora of literature.

Abstract: The calculation of synchronous machine parameters from sudden short-circuit measurements has been subject to unnecessary assumptions and approximations. The authors describe the nature of these approximations and a procedure to remove them, and illustrate how a new philosophy for problem formulation and solution using backsolving programs can simplify and clarify the solution.

Abstract: This paper presents a method for estimating the machine parameters of a synchronous motor. The presented method is equally applicable for a wound field synchronous motor, synchronous reluctance motor, or permanent magnet (PM) synchronous motor, both .The dynamic performance of Interconnected synchronous machines became of major Interest to power system engineers approximately fifty-five years ago with the recognition of transient instability phenome­ non (2).

Early transient stability studies represented synchronous machines by a very simple model that neglected all Internal dynamic.This paper presents the parameter computation and performance prediction of a permanent magnet (PM) synchronous generator based on numerical magnetic field analyses.