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E. Xypolytou, T. Leber, T. Aichholzer:
"Modeling renewable energy sources to promote proactivity in the distribution grid";
Vortrag: International Symposium on Smart Electric Distribution Systems and Technologies (EDST), Wien; 08.09.2015 - 11.09.2015; in: "International Symposium on Smart Electric Distribution Systems and Technologies", IEEE (Hrg.); IEEE, Vienna (2015), ISBN: 978-1-4799-7736-9; S. 145 - 150.

Due to growing share of renewable energies in the
last decades, the power grid has to deal with a great amount
of unpredictable and volatile energy. In order to protect it from
overloads and hence resulting risks, models to predict a-priori
the energy produced from renewable energy sources are of great
necessity. Such forecast models serve as important tool for the
Distribution System Operators (DSOs). In this work, forecast
models for photovoltaic (PV) and hydroelectric power generation
are presented, aiming to their utilization from the grid operator
as tool for scheduling switching activities in the distribution grid. The models are successfully evaluated through recorded power
output data, provided by the DSO of Carinthia, Austria.

Renewable energy, modelling, energy forecast, neural networks, smart grid, reconfigurable grid topology

http://dx.doi.org/10.1109/SEDST.2015.7315198

Projektleitung Thomas Leber:
Vorausplanende automatisierte aktive Verteilnetz-Betriebsführung mit Integration dezentraler Erzeuger