Artificial Intelligence for Renewable Energy Systems. Группа авторов
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Название: Artificial Intelligence for Renewable Energy Systems

Автор: Группа авторов

Издательство: John Wiley & Sons Limited

Жанр: Программы

Серия:

isbn: 9781119761716

isbn:

СКАЧАТЬ standard method to evaluate the machine parameters [25, 26].

Schematic illustration of the circuit representation of a six-phase synchronous machine.

      (1.19)image

      (1.20)image

      (1.21)image

      (1.22)image

      (1.23)image

      (1.24)image

      (1.25)image

      Current in terms of flux is written as follows:

      (1.27)image

      (1.28)image

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      (1.31)image

      ψmq and ψmd are defined using state variables as follows:

      (1.33)image

      (1.34)image

      where

      (1.35)image

      (1.36)image

      (1.37)image

      Developed electromagnetic torque (Te) and rotor dynamic equations for the machine can be expressed as follows:

      (1.38)image

      where

      (1.39)image

      the developed torque associated with the first winding set abc, and

      the developed torque associated with the second winding set xyz.

      where Te is overall developed electromagnetic torque and Tl is the prime mover torque. In the mathematical modeling, both motoring and generating mode is possible. In this chapter, generating mode is considered, where mechanical input torque Tl is fed from prime mover to generate the electrical output power, resulting the flow of current from machine to connected utility grid.

      Input voltages vabcs and vxyzs in stationary frame coordinate are transformed directly to images in rotor reference frame by using the transformation matrix [20, 22] images associated with each winding sets abc and xyz, respectively. The voltages applied to the damper windings are not shown, because voltages are zero due to short-circuited windings.