Load modeling of active low-voltage consumers and comparative analysis of their impact on distribution system expansion planning

Nelson Knak Neto, Alzenira da Rosa Abaide, Vladimiro Miranda, Phillipe Vilaça Gomes, Leonel Carvalho, Jean Sumaili, Daniel Pinheiro Bernardon

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

This paper proposes a new probabilistic model for active low-voltage prosumers suitable for distribution expansion planning studies. The load uncertainty of these consumers is considered through a range of load profiles by segmenting the energy consumption according to the different energy uses. Then, consumption adjustments are simulated using a nonhomogenous Poisson process based on the energy usage preferences and the financial gains according to the tariff scheme. A case study based on the modified IEEE 33-Bus test system with real data collected from a Brazilian distribution company is performed in order to analyze the impact of the load profiles in scenarios with high penetration of renewable distributed generation (DG). The experiments carried out reveal that considerable monetary savings in the expansion of the distribution grid can be achieved for this case study (up to 37%) as compared with the alternative with no active demand (AD) by exploiting the flexibility associated with the active behavior of prosumers as a response to price signals and/or by permitting adequate levels for the integration of DG into the distribution grid.

Original languageEnglish
Article numbere12038
JournalInternational Transactions on Electrical Energy Systems
Volume29
Issue number8
DOIs
Publication statusPublished - Aug 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019 John Wiley & Sons, Ltd.

Funding

The authors would like to thank the technical and financial support of RGE Sul Distribuidora Gaúcha de Energia SA in the development of the research project leading to this work, which is also funded by the Ministry of Education of Brazil and by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) under agreements 0855-15-4 and 13207-13-0. The work reported in this paper was conducted mainly at INESC TEC (Portugal) and the conditions for its development were supported by the ERDF—European Regional Development Fund, through the Operational Programme for Competitiveness and Internationalization—COMPETE 2020 within project POCI-01-0145-FEDER-006961 and by Fundação para Ciência e a Tecnologia (FCT) (Portuguese Foundation for Science and Technology) as part of the strategic project UID/EEA/50014/2013.

FundersFunder number
RGE Sul Distribuidora Gaúcha de Energia SA
Fundação para a Ciência e a TecnologiaUID/EEA/50014/2013
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior0855-15-4, 13207-13-0
Ministério da Educação
European Regional Development Fund
Programa Operacional Temático Factores de CompetitividadePOCI-01-0145-FEDER-006961

    Keywords

    • active demand
    • demand response
    • distributed generation
    • nonhomogeneous Poison process
    • stochastic load modeling

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