DUGi

Low Voltage Grid Operation Scheduling Considering Forecast Uncertainty

http://dugi.udg.edu/item/http:@@@@hdl.handle.net@@2072@@373467

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

Springer