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SICS Software-Intensive Cyber-Physical Systems
Published in: SICS Software-Intensive Cyber-Physical Systems 1-2/2017

16-07-2016 | Special Issue Paper

Preserving privacy in Distributed Energy Management

Authors: Daniel Brettschneider, Daniel Hölker, Alfred Scheerhorn, Ralf Tönjes

Published in: SICS Software-Intensive Cyber-Physical Systems | Issue 1-2/2017

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Abstract

The smart power grid transforms into a distributed system of manifold stakeholders by integrating communication technology into the former static power grid. Distributed Energy Management (DEM) will play a vital role in future demand supply matching. An important and often overlooked factor in this concept is privacy. In this paper we present Priv-ADE, a privacy preserving algorithm for DEM. It utilises homomorphic encryption to privately gather aggregated data and perform energy management based on the max–min fairness principle. Simulations show that PrivADE achieves similar consumption results as two comparative approaches, while in contrast preserves privacy at all times. The computational and communicational complexity is analysed. Furthermore, the privacy concept is adopted to PowerMatcher.
previous article Accurate clock synchronization for power systems protection devices over packet switched networks
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Metadata
Title
Preserving privacy in Distributed Energy Management
Authors
Daniel Brettschneider
Daniel Hölker
Alfred Scheerhorn
Ralf Tönjes
Publication date
16-07-2016
Publisher
Springer Berlin Heidelberg
Published in
SICS Software-Intensive Cyber-Physical Systems / Issue 1-2/2017
Print ISSN: 2524-8510
Electronic ISSN: 2524-8529
DOI
https://doi.org/10.1007/s00450-016-0309-4

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