DocumentCode
41700
Title
Statistical Quantification of Voltage Violations in Distribution Networks Penetrated by Small Wind Turbines and Battery Electric Vehicles
Author
Chao Long ; Farrag, Mohamed E. A. ; Chengke Zhou ; Hepburn, Donald M.
Author_Institution
Sch. of Eng. & Built Environ., Glasgow Caledonian Univ., Glasgow, UK
Volume
28
Issue
3
fYear
2013
fDate
Aug. 2013
Firstpage
2403
Lastpage
2411
Abstract
Voltage violation tends to be one of the dominant constraints or critical factors that limit the penetration of small wind turbines (SWTs) and battery electric vehicles (BEVs) in distribution networks. To quantify the voltage violation, a statistical time series based approach is developed in this paper. The daily time varying characteristics of electric loads, wind speeds and BEV charging loads have been taken into consideration in a statistical manner. The method has been compared with the conventional time series approach. It is proven that the proposed methodology, while providing a global picture on voltage violations, can potentially be used for fast evaluation of the probability of a voltage violation occurring in a network. The methodology has been applied to an example distribution network. Results show that the proposed methodology can reduce the computational requirement by over 98%, while the difference between the results obtained using the proposed method and applying the conventional time series approach is within 12.5%.
Keywords
battery powered vehicles; distribution networks; probability; statistical analysis; time series; wind turbines; BEV charging loads; SWT; battery electric vehicles; distribution networks; electric load daily time varying characteristics; small wind turbines; statistical time series based approach; voltage violation probability; voltage violation statistical quantification; wind speeds; Battery electric vehicles; power distribution system; probability distribution; small wind turbines; time series analysis; voltage violations;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2013.2252472
Filename
6510491
Link To Document