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 proceedingConference contributionpeer-review

1 Citation (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 languageEnglish
Title of host publicationProceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6077-6082
Number of pages6
ISBN (Electronic)9781509066841
DOIs
Publication statusPublished - 26 Dec 2018
Event44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 - Washington, United States
Duration: 20 Oct 201823 Oct 2018

Conference

Conference44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018
CountryUnited States
CityWashington
Period20/10/1823/10/18

Keywords

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

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