Load modelling : induction motors

Moyano, Carlos F. & Ledwich, Gerard (2011) Load modelling : induction motors. In Robinson, Olivia (Ed.) Electric Power Systems in Transition. Nova Science Publishers, Inc., Hauppauge, N.Y., pp. 75-136.

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Modelling the power systems load is a challenge since the load level and composition varies with time. An accurate load model is important because there is a substantial component of load dynamics in the frequency range relevant to system stability. The composition of loads need to be charaterised because the time constants of composite loads affect the damping contributions of the loads to power system oscillations, and their effects vary with the time of the day, depending on the mix of motors loads.

This chapter has two main objectives:

1) describe the load modelling in small signal using on-line measurements; and 2) present a new approach to develop models that reflect the load response to large disturbances.

Small signal load characterisation based on on-line measurements allows predicting the composition of load with improved accuracy compared with post-mortem or classical load models. Rather than a generic dynamic model for small signal modelling of the load, an explicit induction motor is used so the performance for larger disturbances can be more reliably inferred. The relation between power and frequency/voltage can be explicitly formulated and the contribution of induction motors extracted. One of the main features of this work is the induction motor component can be associated to nominal powers or equivalent motors

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ID Code: 48077
Item Type: Book Chapter
Additional URLs:
Keywords: Load model, Induction motors, Large disturbance, Dynamic modelling
ISBN: 9781616689858
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Power and Energy Systems Engineering (excl. Renewable Power) (090607)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright © 2010 by Nova Science Publishers, Inc.
Copyright Statement: All rights reserved. No part of this book may be reproduced, stored in a retrieval system or transmitted in any form or by any means: electronic, electrostatic, magnetic, tape, mechanical photocopying, recording or otherwise without the written permission of the Publisher.
Deposited On: 16 Jan 2012 22:42
Last Modified: 18 Jan 2012 22:53

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