EU PVSEC Programme Online
EU PVSEC 2020, 7 - 11 September 2020
Presentation: ..0 Using Analogs Ensembles and Genetic Algorithm to Handle Uncertainty in a Microgrid
Date: Thursday, 1st January 1970
Author(s): F. Calderon-Obaldia, A. Migan-Dubois, J. Badosa, V. Bourdin
Presenter / Speaker: F. Calderon-Obaldia, GeePs-UCR, Gif-sur-Yvette, France
Event: Conference Conference
Type(s) of Access:  Conference Registration
Topic: 5. 1 Solar Resource and Forecasting
Summary / Abstract: In this work, a novel approach to deal with the PV forecast uncertainty during the energy management of a microgrid is presented. A novel adaptation of an analogs ensembles method allows to obtain a Sharpness indicator that is correlated with the PV forecast uncertainty. This indicator can be used to dynamically restrict the usable battery capacity when doing the day-ahead optimal scheduling using a genetic algorithm. This permits to deal with the PV uncertainty internally within the microgrid. This gives a total certainty to the grid operator about the power needs of the microgrid one day in advance. In this way, in a big scale, the uncertainty caused by a higher penetration of renewable energy sources in the national grid could be highly reduced. The main results of a real study-case are presented and the limitations of the method for its implementation are also discussed.