Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/38141
Title: Measurement-based load modeling at distribution level with complete model structure
Authors: Hou, J
Xu, Z 
Dong, ZY
Keywords: Complete load model structure
Distribution level
Measurement-based approach
Issue Date: 2012
Source: IEEE Power and Energy Society General Meeting 2012, San Diego, California, USA, 22-26 July 2012, p. 1-6 How to cite?
Abstract: Load modeling plays an important role in power system operation and control. With increasingly complex grid and emergence of various new load components, load modeling becomes an intractable task. In this paper, our research work will focus on load modeling at distribution level. In order to capture specific load characteristics of various load components, a complete load model at distribution level with equivalent capacitor, large motor and small motor is applied. Disturbance data is processed in advance through MATLAB programs according to the requirements of measurement-based approach. In case study, the measurements and simulated model outputs are demonstrated. For comparison purpose, three load models are used to access model accuracy, which are respectively complete load model at distribution level, composite load model at transmission level and dynamic load model in PowerFactory at distribution level. By contrast, the complete load model proved to have better performance in transient conditions. By splitting the induction motor into two parts, some issues are introduced at the same time. Future work will focus on the generalization capability of this compete load model.
URI: http://hdl.handle.net/10397/38141
ISBN: 978-1-4673-2727-5
978-1-4673-2728-2 (E-ISBN)
DOI: 10.1109/PESGM.2012.6344939
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

5
Last Week
4
Last month
Citations as of Oct 17, 2017

Page view(s)

23
Last Week
0
Last month
Checked on Oct 15, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.