Improved forecasting-based battery energy management strategy for prosumer systems

Mercedes Ruiz-Cortés; Eva González-Romera; Rui Amaral Lopes; Enrique Romero-Cadaval; Joäo Martins; Maria Isabel Milanés-Montero; Fermín Barrero-González

doi:10.1109/IECON.2018.8592892

Improved forecasting-based battery energy management strategy for prosumer systems

Mercedes Ruiz-Cortés, Eva González-Romera, Rui Amaral Lopes, Enrique Romero-Cadaval, Joäo Martins, Maria Isabel Milanés-Montero, Fermín Barrero-González

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

This work presents an energy management strategy based on scheduling battery operation in prosumer systems, according to forecast data available 24 hours in advance. The proposed method seeks to reach a beneficial compromise between prosumers and distribution grid operators, independently of specific economic context or technical regulations. An improvement to deal with forecast inaccuracy is carried out. Results demonstrate that it offers good properties regarding energy management, with a stored energy reserve estimation, battery lifetime preservation and self-consumption and self-sufficiency enhancement.

Original language	English
Title of host publication	Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	6077-6082
Number of pages	6
ISBN (Electronic)	9781509066841
DOIs	https://doi.org/10.1109/IECON.2018.8592892
Publication status	Published - 26 Dec 2018
Event	44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 - Washington, United States Duration: 20 Oct 2018 → 23 Oct 2018

Conference

Conference	44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018
Country/Territory	United States
City	Washington
Period	20/10/18 → 23/10/18

Keywords

Battery energy management
Battery setp scheduling
Forecast error
Prosumer system
Self-consumption
Sufficiency

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10.1109/IECON.2018.8592892

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Ruiz-Cortés, M., González-Romera, E., Lopes, R. A., Romero-Cadaval, E., Martins, J., Milanés-Montero, M. I., & Barrero-González, F. (2018). Improved forecasting-based battery energy management strategy for prosumer systems. In Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society (pp. 6077-6082). Article 8592892 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IECON.2018.8592892

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title = "Improved forecasting-based battery energy management strategy for prosumer systems",

abstract = "This work presents an energy management strategy based on scheduling battery operation in prosumer systems, according to forecast data available 24 hours in advance. The proposed method seeks to reach a beneficial compromise between prosumers and distribution grid operators, independently of specific economic context or technical regulations. An improvement to deal with forecast inaccuracy is carried out. Results demonstrate that it offers good properties regarding energy management, with a stored energy reserve estimation, battery lifetime preservation and self-consumption and self-sufficiency enhancement.",

keywords = "Battery energy management, Battery setp scheduling, Forecast error, Prosumer system, Self-consumption, Sufficiency",

author = "Mercedes Ruiz-Cort{\'e}s and Eva Gonz{\'a}lez-Romera and Lopes, {Rui Amaral} and Enrique Romero-Cadaval and Jo{\"a}o Martins and Milan{\'e}s-Montero, {Maria Isabel} and Ferm{\'i}n Barrero-Gonz{\'a}lez",

note = "This work was supported by the Spanish Agencia Estatal de Investigaci{\'o}n (AEI) and Fondo Europeo de Desarrollo Regional (FEDER), under Project TEC2016-77632-C3-1-R (AEI/FEDER, UE).; 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 ; Conference date: 20-10-2018 Through 23-10-2018",

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doi = "10.1109/IECON.2018.8592892",

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Ruiz-Cortés, M, González-Romera, E, Lopes, RA, Romero-Cadaval, E, Martins, J, Milanés-Montero, MI & Barrero-González, F 2018, Improved forecasting-based battery energy management strategy for prosumer systems. in Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society., 8592892, Institute of Electrical and Electronics Engineers (IEEE), pp. 6077-6082, 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018, Washington, United States, 20/10/18. https://doi.org/10.1109/IECON.2018.8592892

Improved forecasting-based battery energy management strategy for prosumer systems. / Ruiz-Cortés, Mercedes; González-Romera, Eva; Lopes, Rui Amaral et al.
Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 6077-6082 8592892.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Ruiz-Cortés, Mercedes

AU - González-Romera, Eva

AU - Lopes, Rui Amaral

AU - Romero-Cadaval, Enrique

AU - Martins, Joäo

AU - Milanés-Montero, Maria Isabel

AU - Barrero-González, Fermín

N1 - This work was supported by the Spanish Agencia Estatal de Investigación (AEI) and Fondo Europeo de Desarrollo Regional (FEDER), under Project TEC2016-77632-C3-1-R (AEI/FEDER, UE).

PY - 2018/12/26

Y1 - 2018/12/26

N2 - This work presents an energy management strategy based on scheduling battery operation in prosumer systems, according to forecast data available 24 hours in advance. The proposed method seeks to reach a beneficial compromise between prosumers and distribution grid operators, independently of specific economic context or technical regulations. An improvement to deal with forecast inaccuracy is carried out. Results demonstrate that it offers good properties regarding energy management, with a stored energy reserve estimation, battery lifetime preservation and self-consumption and self-sufficiency enhancement.

AB - This work presents an energy management strategy based on scheduling battery operation in prosumer systems, according to forecast data available 24 hours in advance. The proposed method seeks to reach a beneficial compromise between prosumers and distribution grid operators, independently of specific economic context or technical regulations. An improvement to deal with forecast inaccuracy is carried out. Results demonstrate that it offers good properties regarding energy management, with a stored energy reserve estimation, battery lifetime preservation and self-consumption and self-sufficiency enhancement.

KW - Battery energy management

KW - Battery setp scheduling

KW - Forecast error

KW - Prosumer system

KW - Self-consumption

KW - Sufficiency

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BT - Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society

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Ruiz-Cortés M, González-Romera E, Lopes RA, Romero-Cadaval E, Martins J, Milanés-Montero MI et al. Improved forecasting-based battery energy management strategy for prosumer systems. In Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers (IEEE). 2018. p. 6077-6082. 8592892 doi: 10.1109/IECON.2018.8592892

Improved forecasting-based battery energy management strategy for prosumer systems

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