Abstract
The purpose of present research is an analysis of currently promoted energy storage systems based on high-capacity electric batteries from the standpoint of algorithms for intelligent control of their charge and discharge processes. It is discussed the reduction the cost of electricity consumed by the enterprise by the redistributing of energy depending on the variation in tariffs over time. It is based on the use of the Energy Storage System (ESS) and optimal battery charge/discharge schedule. An estimation of savings in consumed energy costs is carried out depending on the power, capacity of ESS, as well as of the period of planned schedule calculating. On base of numerical simulation of battery’s charge/discharge control by linear programming optimisation method the efficiency of ESS usage was estimated in the range 10–15% for different periods from 1 up to 5 days of scheduling (planning horizon) respectively.
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Acknowledgements
This research was granted by ERDF funding, project “Optimum planning of an energy-intensive manufacturing process and optimization of its energy consumption depending on changes in the market price (2017–2019)”, Contract No 1.1.1.1/16/A/280 (Subcontract No L-s-2017/12-9).
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Grakovski, A., Krivchenkov, A. (2020). The Efficiency of Energy Storage Systems Use for Energy Cost Mitigation Under Electricity Prices Changes. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Theory and Applications of Dependable Computer Systems. DepCoS-RELCOMEX 2020. Advances in Intelligent Systems and Computing, vol 1173. Springer, Cham. https://doi.org/10.1007/978-3-030-48256-5_26
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DOI: https://doi.org/10.1007/978-3-030-48256-5_26
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