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Inventions 2017, 2(4), 30; https://doi.org/10.3390/inventions2040030

Energy Storage Scheduling with an Advanced Battery Model: A Game–Theoretic Approach

School of Computer Science and Mathematics, Kingston University London, Penrhyn Road, Kingston upon Thames KT1 2EE, UK
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Received: 12 September 2017 / Revised: 25 October 2017 / Accepted: 13 November 2017 / Published: 16 November 2017
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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. View Full-Text
Keywords: game theory; smart grid; energy storage; battery modelling; demand-side management; load-shaping game theory; smart grid; energy storage; battery modelling; demand-side management; load-shaping
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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.

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