Disaggregating Grid Load into Consumption and Solar Generation

Loading...
Thumbnail Image
Paper number
413
Working Group Number
Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
Authors
Kreuwel, Frank, Alliander N.V., Netherlands
van Lohuizen, Kasper, Alliander N.V. & Wageningen University & Research, Netherlands
van Heerwaarden, Chiel, Wageningen University & Research, Netherlands
Abstract
We present and evaluate three algorithms that can disaggregate the net load on street-level electricity grids into two components; solar energy (PV) generation and household consumption. We based the method on the rescaling of nearby reference PV systems, and evaluated the accuracy of the algorithms on a test case consisting of 22 households in one street for a period of 83 days. The proposed methods can disaggregate the generation profile on a 15 minute temporal resolution with a mean absolute error of 5.7% of the observed peak power, and around 6% for total generated energy. The estimated installed PV capacity ranges between 88% to 100% of the actually observed PV peak power. Furthermore, we have investigated the accuracy of the proposed methods for different PV penetration levels and find them to be robust. Using the methods proposed in this paper, it is now possible to disaggregate net load on street-level electricity grids with unprecedented accuracy
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/19
http://dx.doi.org/10.34890/47
ISSN
2032-9644
ISBN
978-2-9602415-0-1