Energy Storage Scheduling with an Advanced Battery Model: A Game–Theoretic Approach
AbstractEnergy 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. View Full-Text
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Pilz, M.; Al-Fagih, L.; Pfluegel, E. Energy Storage Scheduling with an Advanced Battery Model: A Game–Theoretic Approach. Inventions 2017, 2, 30.
Pilz M, Al-Fagih L, Pfluegel E. Energy Storage Scheduling with an Advanced Battery Model: A Game–Theoretic Approach. Inventions. 2017; 2(4):30.Chicago/Turabian Style
Pilz, Matthias; Al-Fagih, Luluwah; Pfluegel, Eckhard. 2017. "Energy Storage Scheduling with an Advanced Battery Model: A Game–Theoretic Approach." Inventions 2, no. 4: 30.
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