Statistical modelling of load profiles incorporating correlations using Copula

Raoul Bernards, Johan Morren, Han Slootweg

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

3 Citaten (Scopus)
2 Downloads (Pure)

Samenvatting

The growth in stochastic local renewable generation and the increase in new high peak power loads such as electric vehicles and heat pumps warrants the use of more detailed load models to properly assess grid adequacy. In this paper a method is proposed to develop load and generation models based on statistical analyses of measurement data using Gaussian Mixture Models and Copula functions. The two stage approach enables separate modelling of the marginal distributions and correlation structures and is shown to be able to provide a good representation of the statistical behaviour of measured electric household load. The fitted models are then used to stochastically generate load profiles and assess the peak shaving potential and required size of an energy storage unit. Taking into account the correlations is shown to be important for a proper representation of the profiles and may have a substantial effect on the results of the analysis.

Originele taal-2Engels
Titel2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's1-6
Aantal pagina's6
Volume2018-January
ISBN van elektronische versie978-1-5386-1953-7
ISBN van geprinte versie978-1-5386-1954-4
DOI's
StatusGepubliceerd - 26 sep 2017
Evenement2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe 2017) - Politecnico di Torino, Torino, Italië
Duur: 26 sep 201729 sep 2017
Congresnummer: 7
http://sites.ieee.org/isgt-europe-2017/

Congres

Congres2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe 2017)
Verkorte titelISGT Europe 2017
LandItalië
StadTorino
Periode26/09/1729/09/17
Internet adres

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