On Optimal Battery Sizing for Households Participating in Demand-Side Management Schemes

Matthias Pilz, Omar Ellabban and Luluwah Al-Fagih
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Matthias Pilz: School of Computer Science & Mathematics at Kingston University London, Kingston upon Thames KT1 2EE, UK
Omar Ellabban: Iberdrola Innovation Middle East, Qatar Science & Technology Park, Doha 210177, Qatar
Luluwah Al-Fagih: School of Computer Science & Mathematics at Kingston University London, Kingston upon Thames KT1 2EE, UK

Energies, 2019, vol. 12, issue 18, 1-12

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.

Keywords: smart grid; battery scheduling; game theory; optimal sizing; real data; self-consumption (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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