Institut für Energiesysteme und Elektrische Antriebe, Arbeitsgruppe Elektrische Anlagen
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aDSM - Active Demand-Side-Management by renewable generation forecast


Goal of the project aDSM is the development of hierarchical, scalable systems with distributed intelligence. Household load as well as the demand of electrical vehicles will be used flexible to level the local renewable generation. Load shifting and charge controlling will be used actively and anticipatory based on an optimized power forecast. If a local balance is not possible, the upper system levels (up to the transmission power grid) or energy storage will intervene coordinated. The aim is to reduce the requirement of storage as well as the network load by the use of aDSM. On the basis of electric vehicles and a PV system, is a practical demonstration of the aDSM system implementation for a single network node performed.

Project Objectives

Demand side management (DSM) is often associated with the objectives of reducing peak load and smoothing the load curve. The goal of the project aDSM, however, is to achieve with DSM a very flexible electric load profile which adapts to the given volatile supply of renewable sources. An essential element of this is renewable generation forecast, to use the existing load shifting potentials active and anticipatory.

As initial situation, various model settlement patterns with high proportion of renewable supply are examined. The DSM potentials are sought in addition to the household sector, especially in the field of electric vehicles. The electric mobility, which is an essential component of this project concept, is ideal for future use of DSM because of the energy potential as well as the flexible charging strategies. With DSM the settlements inclusive therein electric vehicles largely offset the fluctuating renewable generation locally in order to relieve the upper grids. With grid simulations the effects of the distribution of DSM units are evaluated for different network structures.

In the project aDSM the existing DSM potential (household and e-Mobility) and on the other hand the needed accuracy of renewable generation forecast will be determined. With intelligently using these potentials is assessed, how much the energy storage demand and the grid load can be reduced. This analysis will be performed in hierarchical cascading systems using the existing DSM potentials started with the low voltage grid up to the transmission grid. Therefore the project aDSM use a decentralized approach with superimposed communication.

This analysis will be supplemented by implementing a practical demonstration of the aDSM system at the level of a network node based on a company parking space with electric vehicles and photovoltaic system. The goals are to show the functionality of the system in the lowest level and to implement the findings in future projects also in higher levels.

Project Members

Project Lead:

  • TU Vienna- Institute of Energy Systems and Electrical Drives

Project Partners:

  • Zentralanstalt für Meteorologie und Geodynamik (ZAMG)
  • Vorarlberger Elektroautomobil Planungs- und Beratungs GmbH (VLOTTE)
  • Austrian Power Grid AG (APG)


Dipl.-Ing. Markus LITZLBAUER

Dipl.-Ing Christoph MAIER

Preliminary Report



Ch.Maier, M. Litzlbauer: aDSM - Ergebnisse und Schlussfolgerungen; Poster: Smart Grids Week 2014, Graz


Ch.Maier, Ch. Groiß, M. Litzlbauer, A. Schuster, F. Zeilinger: "Eigenverbrauchssteigerung in Haushalten durch Demand-Side-Management"Vortrag: 13. Symposium Energieinnovation, 12.-14.2.2014 Graz.

Ch. Groiß, Ch. Maier, W. Gawlik: "Active and anticipatory Demand-Side-Management in Households"; Vortrag: CIRED, Stockholm, Schweden; 10.06.2013 - 13.06.2013; in: "22nd Internat. Conference and Exhibition on Electricity Distribution", Paper No. 1277 (2013), ISBN: 978-1-84919-738-0; S. 1 - 4.

Ch. Groiß, Ch. Maier, J. Scalet: "DSM-Potenziale in einer österreichischen Modellsiedlung"; Vortrag: IEWT Internationale Energiewirtschaftstagung TU Wien, Wien; 13.02.2013 - 15.02.2013; in: "IEWT 2013 - Erneuerbare Energien: Überforderte Energiemärkte?", (2013), Paper-Nr. P154, 8 S.

F. Zeilinger, Ch. Groiß, A. Schuster: "Detaillierte Modellierung des Haushaltsstromverbrauchs zur Untersuchung von Demand Side Management"; Vortrag: 13. Symposium Energieinnovation, Graz; 12.02.2014 - 14.02.2014; in: "Innehalten und Ausblick: Effektivität und Effizienz für die Energiewende", Verlag der TU Graz, (2014), ISBN: 978-3-85125-311-5; 15 S.


From 03/2012 till 01/2014

This project was funded by the "Klima- und Energiefonds" and is conducted within the research programme "NEUE ENERGIEN 2020".

This project is related to the following research topic: ELECTROMOBILITY