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Open AccessArticle

Optimal Operation of Battery Storage for a Subscribed Capacity-Based Power Tariff Prosumer—A Norwegian Case Study

Department of Electric Power Engineering, Norwegian University of Science and Technology, 7491 Trondheim, Norway
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Energies 2019, 12(23), 4450; https://doi.org/10.3390/en12234450
Received: 18 October 2019 / Revised: 13 November 2019 / Accepted: 19 November 2019 / Published: 22 November 2019
(This article belongs to the Section Energy Economics and Policy)
The cost of peak power for end-users subject to a demand charge may be substantial, expecting to increase further with the vast growth of power-demanding devices. In cases where load-shifting is not a viable option for cost reduction, battery storage systems used for peak shaving purposes are emerging as a promising solution. In this paper, the economic benefits of implementing battery storage into an existing grid-connected photovoltaic system for a medium-scale swimming facility is studied. The objective is to minimize the total cost of electricity for the facility, including the cost of energy and peak power demand, while ensuring the longevity of the battery. An optimization model based on multi-integer linear programming is built, and simulated using a one-year time horizon in GAMS and Matlab. The main results reveal that installing a battery storage system is economically attractive today, with net savings on the total system cost of 0.64% yearly. The cost of peak power is reduced by 13.9%, and the savings from peak shaving operation alone is enough to compensate for the yearly cost of the battery. Moreover, the battery ensures additional revenue by performing price arbitrage operations. When simulating the system for an assumed 2030 scenario, the battery is found to be more profitable with a yearly net savings of 4.15%. View Full-Text
Keywords: battery energy storage systems; optimal scheduling; capacity-based power tariff; demand side flexibility; battery degradation battery energy storage systems; optimal scheduling; capacity-based power tariff; demand side flexibility; battery degradation
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MDPI and ACS Style

Berglund, F.; Zaferanlouei, S.; Korpås, M.; Uhlen, K. Optimal Operation of Battery Storage for a Subscribed Capacity-Based Power Tariff Prosumer—A Norwegian Case Study. Energies 2019, 12, 4450. https://doi.org/10.3390/en12234450

AMA Style

Berglund F, Zaferanlouei S, Korpås M, Uhlen K. Optimal Operation of Battery Storage for a Subscribed Capacity-Based Power Tariff Prosumer—A Norwegian Case Study. Energies. 2019; 12(23):4450. https://doi.org/10.3390/en12234450

Chicago/Turabian Style

Berglund, Frida; Zaferanlouei, Salman; Korpås, Magnus; Uhlen, Kjetil. 2019. "Optimal Operation of Battery Storage for a Subscribed Capacity-Based Power Tariff Prosumer—A Norwegian Case Study" Energies 12, no. 23: 4450. https://doi.org/10.3390/en12234450

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