Estimation and integration of net demand uncertainty in a microgrid management

Fausto Calderon-Obaldia (1) , Jordi Badosa (2) , Anne Migan-Dubois (1) , Vincent Bourdin (3)

1 GeePs - Laboratoire Génie électrique et électronique de Paris
2 LMD - Laboratoire de Météorologie Dynamique (UMR 8539)
3 LIMSI - Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur

The subject addressed in the proposed paper is the estimation of uncertainty of deterministic forecasts of net demand, and a proposal to incorporate this information in the energy management system of small scale microgrids. This with the aim to decrease CO2 emissions. The information regarding the uncertainty of the forecasts is used for the scheduling of resources during the optimization stage of the energy management system. Results are compared with a base case deterministic and perfect forecast scenario to evaluate the usefulness of the method.

Mots clés: uncertainty; microgrids; energy management system; CO2 emissions; rolling horizon

Domaines: Science des matériaux [cond-mat.mtrl-sci]; Electronique; Energie électrique

Fausto Calderon-Obaldia, Jordi Badosa, Anne Migan-Dubois, Vincent Bourdin. Estimation and integration of net demand uncertainty in a microgrid management. International Conference on Smart Energy Systems and Technologies (SEST 2019), Sep 2019, Porto, Portugal. ⟨hal-03312275⟩