Published April 2008 | Version v1
Journal article

Prediction of windings temperature rise in induction motors supplied with distorted voltage

Creators

  • 1. Gdynia Maritime University, Department of Ship Electrical Power Engineering, Morska Street 83, 81-225 Gdynia (Poland)

Description

One of the features of ship power systems is a different level and intensity of disturbances appearing during routine operation - the rms voltage value and frequency deviation, voltage unbalance and waveform voltage distortion. As a result, marine induction machines are exposed to overheating due to the lowered voltage quality. This paper is devoted to windings temperature rise prediction in marine induction cage machines supplied with distorted voltage, which means real voltage conditions. The proposed method of prediction does not require detailed knowledge of the thermal properties of a machine. Although the method was developed for marine induction motors, it is applicable for industry machines supplied with distorted voltage. It can also be generalized and used for estimation of the steady state windings temperature rise of any electrical machinery in various work conditions

Availability note (English)

Available from http://dx.doi.org/10.1016/j.enconman.2007.07.023

Additional details

Identifiers

DOI
10.1016/j.enconman.2007.07.023;
PII
S0196-8904(07)00250-6;

Publishing Information

Journal Title
Energy Conversion and Management
Journal Volume
49
Journal Issue
4
Journal Page Range
p. 707-717
ISSN
0196-8904
CODEN
ECMADL

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
39094096
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
DISTURBANCES; ELECTRIC MOTORS; ELECTRIC POTENTIAL; HARMONICS; INDUCTION; MACHINERY; OPERATION; POWER SYSTEMS; STEADY-STATE CONDITIONS; THERMODYNAMIC PROPERTIES; WAVE FORMS
Descriptors DEC
ELECTRICAL EQUIPMENT; ENERGY SYSTEMS; ENGINES; EQUIPMENT; MOTORS; OSCILLATIONS; PHYSICAL PROPERTIES

Optional Information

Copyright
Copyright (c) 2007 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.