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High Performance and Privacy for Distributed Energy Management: Introducing PrivADE+ and PPPM
(2018)
Distributed Energy Management (DEM) will play a vital role in future smart grids. An important and often
overlooked factor in this concept is privacy. This paper presents two privacy-preserving DEM algorithms
called PrivADE+ and PPPM. PrivADE+ uses a round-based energy management procedure for switchable and
dynamically adaptable loads. PPPM utilises on the market-based PowerMatcher approach. Both algorithms
apply homomorphic encryption to privately gather aggregated data and exchange commands. Simulations
show that PrivADE+ and PPPM achieve good energy management quality with low communication requirements
and without negative influences on robustness.
The wide distribution of smart phones allows to inform and interact with citizens in real-time, thus enabling the vision
of smart cities. However, the reliability of smart city applications highly depends on the availability of appropriate, ac-
curate, and trustworthy data. To increase the reliability of smart city applications, the European project CityPulse em-
ploys knowledge-based methods for monitoring and testing at all stages of the data stream processing and interpretation
pipeline. During design-time testing validates the behaviour of applications with regard to different levels of quality of
information. During run-time monitoring assesses the reliability of data streams, the plausibility of information, and the
correct evaluation of extracted events. The monitored quality is exploited by fault recovery and conflict resolution
mechanisms to ensure fault-tolerant execution of applications.