DocumentCode :
492462
Title :
Decomposition of aggregated load: Finding induction motor fraction in real load
Author :
Parveen, Tania ; Ledwich, Gerard
Author_Institution :
QUT, Brisbane, QLD
fYear :
2008
fDate :
14-17 Dec. 2008
Firstpage :
1
Lastpage :
6
Abstract :
The main contribution of this paper is decomposition/separation of the composite 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 trying 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 commercial it is good practice to represent the total load as a combination of composite motor loads, constant impedance 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.
Keywords :
induction motors; least squares approximations; load management; Sydney West data; aggregated load decomposition; composite induction motor; dynamic load percentage; least square algorithm; power system transmission bus; static load percentage; Australia; Feedback; Frequency; Impedance; Induction motors; Load modeling; Power system analysis computing; Power system dynamics; Power system modeling; Power system planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Conference, 2008. AUPEC '08. Australasian Universities
Conference_Location :
Sydney, NSW
Print_ISBN :
978-0-7334-2715-2
Electronic_ISBN :
978-1-4244-4162-4
Type :
conf
Filename :
4813124
Link To Document :
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