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 language | English |
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Article number | e12038 |
Journal | International Transactions on Electrical Energy Systems |
Volume | 29 |
Issue number | 8 |
DOIs | |
Publication status | Published - Aug 2019 |
Externally published | Yes |
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.
Funders | Funder number |
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RGE Sul Distribuidora Gaúcha de Energia SA | |
Fundação para a Ciência e a Tecnologia | UID/EEA/50014/2013 |
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior | 0855-15-4, 13207-13-0 |
Ministério da Educação | |
European Regional Development Fund | |
Programa Operacional Temático Factores de Competitividade | POCI-01-0145-FEDER-006961 |
Keywords
- active demand
- demand response
- distributed generation
- nonhomogeneous Poison process
- stochastic load modeling