On optimal battery sizing for households participating in demand-side management schemes

Matthias Pilz*, Omar Ellabban, Luluwah Al-Fagih

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

The smart grid with its two-way communication and bi-directional power layers is a cornerstone in the combat against global warming. It allows for the large-scale adoption of distributed (individually-owned) renewable energy resources such as solar photovoltaic systems. Their intermittency poses a threat to the stability of the grid, which can be addressed by the introduction of energy storage systems. Determining the optimal capacity of a battery has been an active area of research in recent years. In this research, an in-depth analysis of the relation between optimal capacity and demand and generation patterns is performed for households taking part in a community-wide demand-side management scheme. The scheme is based on a non-cooperative dynamic game approach in which participants compete for the lowest electricity bill by scheduling their energy storage systems. The results are evaluated based on self-consumption, the peak-to-average ratio of the aggregated load and potential cost reductions. Furthermore, the difference between individually-owned batteries and a centralised community energy storage system serving the whole community is investigated.

Original languageEnglish
Article number3419
JournalEnergies
Volume12
Issue number18
DOIs
Publication statusPublished - 5 Sept 2019

Keywords

  • Battery scheduling
  • Game theory
  • Optimal sizing
  • Real data
  • Self-consumption
  • Smart grid

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