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Assessment of a scheduling strategy for dispatching prosumption of an industrial campus
Publikationstyp
Conference Paper
Date Issued
2019
Sprache
English
Author(s)
Appino, Riccardo Remo
González Ordiano, Jorge Ángel
Munzke, Nina
Mikut, Ralf
Start Page
289
End Page
294
Citation
In: Internationaler ETG-Kongress 2019 - Das Gesamtsystem im Fokus der Energiewende: 289-294 (2019)
Contribution to Conference
Scopus ID
Publisher
ETG
ISBN
9783800749553
Effective scheduling of the power exchange with an external grid is of interest for clusters of devices (including consumption, generation and storage) that aim to participate in energy markets. Scheduling is often performed by means of optimization-based algorithms considering uncertain forecasts of inflexible generation and consumption. In this paper, we assess the performance of a previously proposed scheduling algorithm—based on non-parametric probabilistic forecasts both in terms of power and energy—in a realistic industrial campus setting. Simulation results using real data from the KIT north campus underpin the applicability of the proposed algorithm.
Subjects
Digital storage
DDC Class
004: Computer Sciences
510: Mathematics