EDPD’s experience with data analytics and stochastic simulation methods for risk-controlled network planning
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Paper number
0089
Working Group Number
Conference name
CIRED 2018 Ljubljana Workshop
Conference date
7 - 8 June 2018
Conference location
Ljubljana, Slovenia
Peer-reviewed
Yes
Short title
Convener
Authors
Aguas, Andre, EDP Distribuição, Portugal
Pereira, Vera, EDP Distribuição, Portugal
Carvalho, Pedro, AmberTree, Portugal
Machado, Joao, AmberTree, Portugal
Jorge, Luisa, EDP Distribuição, Portugal
Prata, Ricardo, EDP Distribuição, Portugal
Bento, Rui, EDP Distribuição, Portugal
Ferreira, Luís, AmberTree, Portugal
Pereira, Vera, EDP Distribuição, Portugal
Carvalho, Pedro, AmberTree, Portugal
Machado, Joao, AmberTree, Portugal
Jorge, Luisa, EDP Distribuição, Portugal
Prata, Ricardo, EDP Distribuição, Portugal
Bento, Rui, EDP Distribuição, Portugal
Ferreira, Luís, AmberTree, Portugal
Abstract
Within the framework of the Move2Future project, EDP Distribuição (EDPD) is adapting to new realities and technologies, taking advantage of the investments in AMI. In that effort, EDPD embraced the development of a comprehensive methodology to enhance the support to investment decisions, increasing responsiveness and quality of service, while controlling the associated risks. This involved developing specific data analytics approaches for synthetic load modelling based on real data and adapting planning tools to synthetize grid outcomes of such modelling as risk indices. This paper presents the main challenges related to modelling and simulation, pinpointing key issues in computing resources, algorithm design and results presentation.
Table of content
Keywords
Publisher
AIM
Date
2018-06-07
Permanent link to this record
https://www.cired-repository.org/handle/20.500.12455/1154
http://dx.doi.org/10.34890/218
http://dx.doi.org/10.34890/218
ISSN
2032-9628
ISBN
978-2-9602415-1-8