Cost Minimizing Online Algorithms for Energy Storage Management with Worst-case Guarantee

Chi-Kin Chau; Guanglin Zhang; Minghua Chen

doi:10.1109/tsg.2016.2514412

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arXiv · 1511.07559

Cost Minimizing Online Algorithms for Energy Storage Management with Worst-case Guarantee

Chi-Kin Chau·Guanglin Zhang·Minghua Chen

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Abstract

The fluctuations of electricity prices in demand response schemes and intermittency of renewable energy supplies necessitate the adoption of energy storage in microgrids. However, it is challenging to design effective real-time energy storage management strategies that can deliver assured optimality, without being hampered by the uncertainty of volatile electricity prices and renewable energy supplies. This paper presents a simple effective online algorithm for the charging and discharging decisions of energy storage that minimizes the electricity cost in the presence of electricity price fluctuations and renewable energy supplies, without relying on the future information of prices, demands or renewable energy supplies. The proposed algorithm is supported by a near-best worst-case guarantee (i.e., competitive ratio), as compared to the offline optimal decisions based on full future information. Furthermore, the algorithm can be adapted to take advantage of limited future information, if available. By simulations on real-world data, it is observed that the proposed algorithms can achieve satisfactory outcome in practice.

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Chi-Kin Chau, Guanglin Zhang, Minghua Chen. 2015-11-24. Cost Minimizing Online Algorithms for Energy Storage Management with Worst-case Guarantee. https://doi.org/10.1109/tsg.2016.2514412

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