Efficiency Fairness Tradeoff in Battery Sharing
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Publication:6323067
DOI10.1016/J.ORL.2021.04.002arXiv1908.00699MaRDI QIDQ6323067
Ankur A. Kulkarni, Karan N. Chadha, Jayakrishnan Nair
Publication date: 2 August 2019
Abstract: The increasing presence of decentralized renewable generation in the power grid has motivated consumers to install batteries to save excess energy for future use. The high price of energy storage calls for a shared storage system, but careful battery management is required so that the battery is operated in a manner that is fair to all and as efficiently as possible. In this paper, we study the tradeoffs between efficiency and fairness in operating a shared battery. We develop a framework based on constrained Markov decision processes to study both regimes, namely, optimizing efficiency under a hard fairness constraint and optimizing fairness under hard efficiency constraint. Our results show that there are fundamental limits to efficiency under fairness and vice-versa, and, in general, the two cannot be achieved simultaneously. We characterize these fundamental limits via absolute bounds on these quantities, and via the notion of price of fairness that we introduce in this paper.
Decision theory (91B06) Applications of mathematical programming (90C90) Inventory, storage, reservoirs (90B05) Markov and semi-Markov decision processes (90C40)
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