DocumentCode
676574
Title
Statistical evaluation of voltage unbalance in residential distribution networks with a high penetration level of small wind turbines
Author
Chao Long ; Farrag, Mohamed E. A. ; Hepburn, Donald M. ; Chengke Zhou
Author_Institution
Sch. of Eng. & Built Environ., Glasgow Caledonian Univ., Glasgow, UK
fYear
2013
fDate
9-11 Sept. 2013
Firstpage
1
Lastpage
5
Abstract
Voltage unbalance (VU) in residential distribution networks (RDNs) is mainly caused by the load unbalance in three phases, resulting from network configuration and time variation of the loads. The increasing penetration of small wind turbines (SWTs) and their non-uniform distribution over the three phases have introduced difficulties in evaluating possible VU. In this paper, the point estimate method (PEM) is applied to evaluate the possible VU in RDNs with different SWT penetration and distribution scenarios. Randomness of load switching by customers and time-variation of wind speeds have been taken into account. The methodology has been applied to a generic UK distribution network. Results show that a balanced penetration of SWTs over three phases reduces the VU of a RDN. A scenario where 40% of homes in one phase have SWTs installed would result in a voltage unbalance factor (VUF) out of UK statutory limits.
Keywords
distribution networks; statistical analysis; wind turbines; PEM; RDN; SWT; VU; generic UK distribution network; point estimate method; residential distribution networks; small wind turbines; voltage unbalance factor; voltage unbalance statistical evaluation; Distribution system; point estimate method; probability distribution; small wind turbines; voltage unbalance;
fLanguage
English
Publisher
iet
Conference_Titel
Renewable Power Generation Conference (RPG 2013), 2nd IET
Conference_Location
Beijing
Electronic_ISBN
978-1-84919-758-8
Type
conf
DOI
10.1049/cp.2013.1785
Filename
6718696
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