Using stochastic modelling for long-term network planning of LV distribution grids at Dutch DNO

Thumbnail Image
Files
CIRED 2019 - 1026.pdf (562.88 KB)
Paper number
1026
Working Group Number
Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
Authors
Vergnes, Hugo, Stedin, Netherlands
Nijhuis, Michiel, Phase to Phase, Netherlands
Coster, Edward, Stedin, Netherlands
Abstract
Long-term network planning becomes of upmost importance because large amounts of extra appliances are foreseen in the LV-grids in the near future. These appliances appear to have a load pattern with weak correlation to the traditional household load pattern. The two main assumptions of the current load model, the peak load is normally distributed, and the yearly energy usage and the peak load are highly correlated, are already losing their applicability. Stochastic load modelling seems a suitable alternative which does not rely on these assumptions.Smart meter data, if available, can easily be used to generate stochastic load profiles and also to determine probability density functions for individual consumers. Scenarios for new technologies, with different load patterns, can be added to existing grids for long-term network planning purposes.To be able to successfully implement stochastic load modelling at a DNO requires additional data and skills.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
Published in
CIRED 2019 Conference
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/248
http://dx.doi.org/10.34890/478
ISSN
2032-9644
ISBN
978-2-9602415-0-1