DocumentCode
570016
Title
Measurement and prediction of network demand in the presence of renewable distributed generation
Author
Boait, P. ; Gillie, M. ; Suyeon Kim
Author_Institution
De Montfort Univ., Leicester, UK
fYear
2012
fDate
29-30 May 2012
Firstpage
1
Lastpage
4
Abstract
As the amount of renewable generation on the LV and 11kV distribution networks rises, it becomes difficult for distribution network operators to track the underlying demand for electricity. This paper describes a system under development to deduce renewable generator capacity, generation and consumer demand on individual feeders from current measurement data collected at the primary or distribution transformer. This provides DNOs with a low cost system to understand the true impact of generation on their network, better plan for outages and manage fault conditions. It gives them knowledge of the actual demand on their system, the generation connected and prediction of these values for the hours or days ahead using data already available.
Keywords
distributed power generation; distribution networks; power generation faults; transformers; DNO; LV; consumer demand; distribution network operators; distribution transformer; fault conditions; network demand prediction; renewable distributed generation; voltage 11 kV;
fLanguage
English
Publisher
iet
Conference_Titel
Integration of Renewables into the Distribution Grid, CIRED 2012 Workshop
Conference_Location
Lisbon
Electronic_ISBN
978-1--84919-628-4
Type
conf
DOI
10.1049/cp.2012.0728
Filename
6302360
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