Abstract
Large scale energy storage installations have seen a rise in recent years, especially in combination with renewable power plants. Their increasing integration is contingent on successful market participation. So far, a common objective in energy resource scheduling is the maximization of profit from market participation, which requires high storage utilization and, consequently, leads to their degradation. This contribution presents a multi-objective mixed-integer program for operational planning of solar-storage plants that maximizes profit and minimizes the number of charge cycles. In a case study, solar-storage plants are studied in a short-term market environment. Pareto optimal solutions are determined using the epsilon constraint method. Analysis of the pareto-front shows that even minor sacrifices in profit allow to significantly reduce the number of charge cycles and therefore increase the lifetime of the battery.
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Vetter, J., Novák, P., Wagner, M.R., Veit, C., Möller, K.-C., Besenhard, J., Winter, M., Wohlfahrt-Mehrens, M., Vogler, C., Hammouche, A.: Ageing mechanisms in lithium-ion batteries. J. Power Sources 147(1–2), 269–281 (2005)
Koller, M., Borsche, T., Ulbig, A., Andersson, G.: Defining a degradation cost function for optimal control of a battery energy storage system. In 2013 IEEE Grenoble Conference, pp. 1–6. IEEE, Piscataway (2013)
Alarcon-Rodriguez, A., Ault, G., Galloway, S.: Multi-objective planning of distributed energy resources: a review of the state-of-the-art. Renew. Sustain. Energy Rev. 14(5), 1353–1366 (2010)
Fadaee, M., Radzi, M.: Multi-objective optimization of a stand-alone hybrid renewable energy system by using evolutionary algorithms: a review. Renew. Sustain. Energy Rev. 16(5), 3364–3369 (2012)
Mamun, A.-A., Narayanan, I., Wang, D., Sivasubramaniam, A., Fathy, H.K.: Multi-objective optimization to minimize battery degradation and electricity cost for demand response in datacenters. In: ASME 2015 Dynamic Systems and Control Conference, pp. 1–10. American Society of Mechanical Engineers, New York (2015)
Stroe, D.-I., Knap, V., Swierczynski, M., Stroe, A.-I., Teodorescu, R.: Operation of a grid-connected lithium-ion battery energy storage system for primary frequency regulation: a battery lifetime perspective. IEEE Trans. Ind. Appl. 53(1), 430–438 (2016)
Ziel, F., Steinert, R.: Electricity price forecasting using sale and purchase curves: the x-model. Energy Econ. 59, 435–454 (2016)
Chen, Y., Wang, Y., Kirschen, D., Zhang, B.: Model-free renewable scenario generation using generative adversarial networks. IEEE Trans. Power Syst. 33(3), 3265–3275 (2018)
Acknowledgement
This work was supported by the European Union and the Free State of Saxony under SAB-Nr. 100331224.
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Kuttner, L. (2020). Tradeoffs Between Battery Degradation and Profit from Market Participation of Solar-Storage Plants. In: Neufeld, J.S., Buscher, U., Lasch, R., Möst, D., Schönberger, J. (eds) Operations Research Proceedings 2019. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-030-48439-2_33
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DOI: https://doi.org/10.1007/978-3-030-48439-2_33
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