Start-Up Performance Prediction of Line-Fed Solid-Rotor Salient-Pole Synchronous Motors

Autor: Alberto Tessarolo, Matteo Olivo, Simone Cicutto, Gianfranco Zocco, Nicola Barbini
Přispěvatelé: IEEE, Olivo, Matteo, Barbini, Nicola, Tessarolo, Alberto, Cicutto, Simone, Zocco, Gianfranco
Rok vydání: 2018
Předmět:
tarting performance calculation
Computer science
imulation
torque
Synchronous motors
olid rotor
finite element analysis
02 engineering and technology
lumped parameter network
mechanical robustness
Rotor
solid rotor
0202 electrical engineering
electronic engineering
information engineering

Solids
starting performance calculation
start-up performance prediction
direct-on-line starting
elf-starting capability
tarting performance
synchronous motor
Stator winding
Gas industry
lumped parameter networks
line-fed solid-rotor salient-pole synchronous motors
simulation
Start up
solid salient pole motor
Finite element method
rotors
Atmospheric modeling
Salient
Synchronous motor
olid salient pole motor
ynchronous motor
DOL starting
tarting
Solid
Control theory
Robustness (computer science)
Performance prediction
Torque
self-starting capability
starting performance
tart-up performance prediction
020208 electrical & electronic engineering
starting
mechanical robustne
lumped-parameter machine model
line-fed solid-rotor salient-pole synchronous motor
finite element analysi
power 17.5 MW
motor current
synchronous motors
Rotors
Stator windings
Zdroj: 2018 XIII International Conference on Electrical Machines (ICEM).
Popis: Solid rotor synchronous motors are widely used in the Oil&Gas industry, because of their mechanical robustness and self-starting capability. The starting performance calculation for these machines is a challenging task. In this paper the specific case of a solid salient pole motor rated 17.5 MW at 1500 rpm is addressed. A simplified but accurate method is proposed and validated experimentally to predict the motor current and torque during direct-on-line (DOL) starting. The proposed methodology combines Finite Element Analysis (FEA) with a lumped-parameter machine model to obtain the best compromise between accuracy and computational efficiency.
Databáze: OpenAIRE