Automation of DSO processes combining grid planning and operation: An efficient way to handle large numbers of connection requests

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CIRED 2019 - 460.pdf (1.05 MB)

Paper number

460

Working Group Number

Conference name

CIRED 2019

Conference date

3-6 June 2019

Conference location

Madrid, Spain

Peer-reviewed

Yes

Short title

Convener

Authors

Erlinghagen, Philipp, envelio GmbH, Germany
Ashrafuzzaman, Robin, envelio GmbH, Germany
Glinka, Felix, envelio GmbH, Germany
Mathis, Peter, DigiKoo GmbH, Germany
Jambor, Benjamin, Westnetz GmbH, Germany
Woltering, Steffen, Leitungspartner GmbH, Germany

Abstract

The worldwide efforts to reduce CO2 and NOX emissions lead to a rapid increase in the installation of distributed generation, load and storage systems in the distribution grids. A direct result is a vast increase of the number of connection requests that have to be evaluated by distribution system operators. To handle the technical and economic evaluation efficiently, new methods for data gathering, aggregation, handling and calculation are necessary to benefit from innovative methods like optimization and machine learning.This paper presents a novel tool for the migration of data and automation of technical processes, exemplarily showing the benefit of automatic placement and evaluation of charging stations for electric vehicles. Additionally, an insight into the benefits of combining measurement data with static, technical data in the context of calculation, assessment and planning of electrical grids within one platform is given. First evaluations of implementations show that the effort for technical processes like connection requests can be reduced drastically by the methods presented.

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Keywords

Publisher

AIM

Date

2019-06-03

Published in

CIRED 2019 Conference

Permanent link to this record

https://cired-repository.org/handle/20.500.12455/31
http://dx.doi.org/10.34890/70

ISSN

2032-9644

ISBN

978-2-9602415-0-1