Disaggregating Grid Load into Consumption and Solar Generation

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CIRED 2019 - 413.pdf (756.22 KB)

Paper number

413

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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

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Publisher

AIM

Date

2019-06-03

Published in

CIRED 2019 Conference

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