2026-04-17T19:18:58Zhttps://recercat.cat/oai/request

oai:recercat.cat:10256/166782024-12-05T12:48:16Zcom_2072_453036com_2072_2054col_2072_453038

Low Voltage Grid Operation Scheduling Considering Forecast Uncertainty Ferrer, Albert Torrent-Fontbona, Ferran Colomer Llinàs, Joan Meléndez i Frigola, Joaquim Baixa tensió -- Congressos Low voltage systems -- Congresses Enginyeria elèctrica -- Congressos Electrical engineering -- Congresses Energia -- Emmagatzematge -- Congressos Energy storage -- Congresses Comunicació presentada a: 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019) A model for day-ahead scheduling of batteries and branch switches in the low voltage grid, considering forecasts uncertainties, is proposed. The objective is to reduce the energy losses of the distribution lines and avoid critical events such as congestions or over and under-voltages in the local network. Simulations of different day-ahead situations are performed with a modified particle swarm optimisation algorithm. The results show that critical events are avoided and energy self-consumption within the local network is increased This work has been developed under the European project RESOLVD of the Horizon 2020 research and innovation program (topic LCE-01-2016-2017) and grant agreement N773715 info:eu-repo/date/embargoEnd/2020-05-01 2019-05-01 info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/acceptedVersion http://hdl.handle.net/10256/16678 978-3-030-20055-8 eng info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-030-20055-8_47 info:eu-repo/semantics/altIdentifier/isbn/978-3-030-20054-1 info:eu-repo/grantAgreement/EC/H2020/773715/EU/Renewable penetration levered by Efficient Low Voltage Distribution grids/RESOLVD Tots els drets reservats info:eu-repo/semantics/openAccess application/pdf Springer © Martínez Álvarez F., Troncoso Lora A., Sáez Muñoz J., Quintián H., Corchado E. (eds). 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019): SOCO 2019. (Advances in Intelligent Systems and Computing, vol. 950), p. 493-502 Contribucions a Congressos (D-EEEiA)