Energy storage scheduling with an advanced battery model: A game–theoretic approach

Matthias Pilz*, Luluwah Al-Fagih, Eckhard Pfluegel

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

Energy storage systems will play a key role for individual users in the future smart grid. They serve two purposes: (i) handling the intermittent nature of renewable energy resources for a more reliable and efficient system; and (ii) preventing the impact of blackouts on users and allowing for more independence from the grid, while saving money through load-shifting. In this paper we investigate the latter scenario by looking at a neighbourhood of 25 households whose demand is satisfied by one utility company. Assuming the users possess lithium-ion batteries, we answer the question of how each household can make the best use of their individual storage system given a real-time pricing policy. To this end, each user is modelled as a player of a non-cooperative scheduling game. The novelty of the game lies in the advanced battery model, which incorporates charging and discharging characteristics of lithium-ion batteries. The action set for each player comprises day-ahead schedules of their respective battery usage. We analyse different user behaviour and are able to obtain a realistic and applicable understanding of the potential of these systems. As a result, we show the correlation between the efficiency of the battery and the outcome of the game.

Original languageEnglish
Article number30
JournalInventions
Volume2
Issue number4
DOIs
Publication statusPublished - Dec 2017
Externally publishedYes

Keywords

  • Battery modelling
  • Demand-side management
  • Energy storage
  • Game theory
  • Load-shaping
  • Smart grid

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