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

被引:15
|
作者
Pilz, Matthias [1 ]
Ellabban, Omar [2 ]
Al-Fagih, Luluwah [1 ,3 ]
机构
[1] Kingston Univ London, Sch Comp Sci & Math, Kingston Upon Thames KT1 2EE, Surrey, England
[2] Qatar Sci & Technol Pk, Iberdrola Innovat Middle East, Doha 210177, Qatar
[3] Hamad Bin Khalifa Univ, Coll Sci & Engn, Div Engn Management & Decis Sci, Doha 34110, Qatar
关键词
smart grid; battery scheduling; game theory; optimal sizing; real data; self-consumption; SYSTEMS;
D O I
10.3390/en12183419
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
引用
收藏
页数:12
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