RT Conference Proceedings
T1 A Novel Formulation for the Energy Storage Scheduling Problem in Solar Self-consumption Systems
A1 Lloréns, Icíar
A1 Alonso, Ricardo
A1 Gil-López, Sergio
A1 Riaño, Sandra
A1 Del Ser, Javier
A2 Herrero, Álvaro
A2 Cambra, Carlos
A2 Urda, Daniel
A2 Sedano, Javier
A2 Quintián, Héctor
A2 Corchado, Emilio
AB Energy storage systems are key components to increase photovoltaic (PV) self-consumption profitability. Indeed, they allow for the intermittency dampening of the PV production so as to adequately cover end-users’ consumption. Given that in most grid-connected PV systems electricity prices are variable, an informed battery scheduling can significantly decrease energy costs. Moreover, energy storage systems can cover consumption peaks to enable contracted power reduction and hence additional savings in electricity bill. This work elaborates on a scalable and flexible optimization system based on production and load forecasting as a Model Predictive Control (MPC) for battery scheduling that aims at minimizing energy costs for consumers. The system provides a 24-hour-ahead battery plan that reduces purchase cost from grid, extends the battery lifetime and guarantees purchases below the maximum contracted power. The formulated problem is solved by means of a MINLP solver and several evolutionary algorithms. Results obtained by these optimization algorithms over real data are promising in terms of cost savings within Spanish electricity market, particularly when compared to the results rendered by other methods from the state of the art. We end by outlying several research directions rooted on the findings reported in this study.
PB Springer Science and Business Media Deutschland GmbH
SN 9783030578015
SN 2194-5357
YR 2021
FD 2021
LK https://hdl.handle.net/11556/2062
UL https://hdl.handle.net/11556/2062
LA eng
NO Lloréns , I , Alonso , R , Gil-López , S , Riaño , S & Del Ser , J 2021 , A Novel Formulation for the Energy Storage Scheduling Problem in Solar Self-consumption Systems . in Á Herrero , C Cambra , D Urda , J Sedano , H Quintián & E Corchado (eds) , 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2020 . Advances in Intelligent Systems and Computing , vol. 1268 AISC , Springer Science and Business Media Deutschland GmbH , pp. 67-78 , 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2020 , Burgos , Spain , 16/09/20 . https://doi.org/10.1007/978-3-030-57802-2_7
NO conference
NO Publisher Copyright: © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
NO Acknowledgments. The work herein described has received funding from the EU’s Horizon 2020 research and innovation program under grant agreement No 691768. Javier Del Ser receives funding support from the Consolidated Research Group MATHMODE (IT1294-19) granted by the Department of Education of the Basque Government. The work herein described has received funding from the EU?s Horizon 2020 research and innovation program under grant agreement No 691768. Javier Del Ser receives funding support from the Consolidated Research Group MATHMODE (IT1294-19) granted by the Department of Education of the Basque Government.
DS TECNALIA Publications
RD 1 sept 2024