Decomposition of aggregated load : finding induction motor fraction in real load


Autoria(s): Parveen, Tania; Ledwich, Gerard
Data(s)

2009

Resumo

The main contribution of this paper is decomposition/separation of the compositie induction motors load from measurement at a system bus. In power system transmission buses load is represented by static and dynamic loads. The induction motor is considered as the main dynamic loads and in the practice for major transmission buses there will be many and various induction motors contributing. Particularly at an industrial bus most of the load is dynamic types. Rather than traing to extract models of many machines this paper seeks to identify three groups of induction motors to represent the dynamic loads. Three groups of induction motors used to characterize the load. These are the small groups (4kw to 11kw), the medium groups (15kw to 180kw) and the large groups (above 630kw). At first these groups with different percentage contribution of each group is composite. After that from the composite models, each motor percentage contribution is decomposed by using the least square algorithms. In power system commercial and the residential buses static loads percentage is higher than the dynamic loads percentage. To apply this theory to other types of buses such as residential and commerical it is good practice to represent the total load as a combination of composite motor loads, constant impedence loads and constant power loads. To validate the theory, the 24hrs of Sydney West data is decomposed according to the three groups of motor models.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/31696/

Relação

http://eprints.qut.edu.au/31696/2/31696.pdf

http://www.ee.unsw.edu.au/aupec2008/

Parveen, Tania & Ledwich, Gerard (2009) Decomposition of aggregated load : finding induction motor fraction in real load. In Proceedings of the Australasian Universities Power Engineering Conference, Sydney, N.S.W..

Direitos

Copyright 2009 please contact the author

Fonte

Faculty of Built Environment and Engineering; School of Engineering Systems

Palavras-Chave #090607 Power and Energy Systems Engineering (excl. Renewable Power) #090608 Renewable Power and Energy Systems Engineering (excl. Solar Cells) #Load Model #Identification #Induction Motor
Tipo

Conference Paper