PublicadoEl 23/11/22 por Comillas
Capítulo de libro

Mitigating production uncertainties of renewables by adjustable load scheduling

tipo de documento semantico ckh_publication

Ficheros

IIT-17-089A.pdf
Tamaño 548949
Formato Adobe PDF
Fecha de publicación 16/05/2017
Fuente Libro: 14th IEEE International Conference on Networking, Sensing and Control - ICNSC 2017, Página inicial: , Página final:
Estado info:eu-repo/semantics/publishedVersion

Resumen

Idioma es-ES
Idioma en-GB
Resumen

An increasing share of renewable energy sources (RES), such as wind and solar generation, is traded on the
electricity markets. The volatility and forecast uncertainty of RES production cause market imbalances and hinder the transition towards emission-free electricity generation. Flexible load scheduling in the form of charging electric vehicles (EVs) offers an opportunity to counterbalance RES variability and forecast uncertainty and thereby enables a higher share of renewables. A stochastic linear multistage optimisation approach is presented to explore the benefits of combining RES productionand flexible EV charging in the form of a hybrid aggregator trading on the liberalised electricity market. Model results show that the hybrid aggregator is able to minimise its imbalance requirements, but uses RES production for charging only if such is financially optimal. Further research is required to explore the market impact of the hybrid aggregator and test its feasibility.

Editorial Università della Calabria (Falerna, Italia)
Grupos de investigación y líneas temáticas Instituto de Investigación Tecnológica (IIT)

Palabras clave

Tipo de archivo application/pdf
Idioma en-GB
Tipo de acceso info:eu-repo/semantics/restrictedAccess
Fecha de modificacion 19/05/2020
Fecha de disponibilidad 21/12/2017
fecha de alta 21/12/2017

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