DocumentCode
3390204
Title
Statistical Quantification of Voltage Violations in Distribution Network with Small Wind Turbines
Author
Long, Chao ; Farrag, Mohamed Emad ; Zhou, Chengke
Author_Institution
Sch. of Eng. & Built Environ., Glasgow Caledonian Univ., Glasgow, UK
fYear
2012
fDate
27-29 March 2012
Firstpage
1
Lastpage
4
Abstract
This paper develops a statistical methodology to identify the probabilities of when and where the voltage violations occurring in residential, industrial and commercial areas respectively with cumulative penetration of SWTs. The proposed methodology is applied to a typical U.K. distribution network model, and results indicate that industrial and commercial weekends have the highest probabilities of voltage violations, and voltage violations are more likely to occur on residential weekdays and weekends than that of industrial and commercial weekdays.
Keywords
distribution networks; statistical analysis; wind turbines; SWTs; commercial area; industrial area; residential area; small wind turbine; statistical quantification; typical UK distribution network model; voltage violation; Load modeling; Probabilistic logic; Production; Time series analysis; Voltage control; Wind speed; Wind turbines;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location
Shanghai
ISSN
2157-4839
Print_ISBN
978-1-4577-0545-8
Type
conf
DOI
10.1109/APPEEC.2012.6307216
Filename
6307216
Link To Document