Paper Info
Title
Model-based assessment for balancing privacy requirements and operational capabilities in the smart grid
Abstract
The smart grid changes the way energy is produced and distributed. In addition both, energy and information is exchanged bidirectionally among participating parties. Therefore heterogeneous systems have to cooperate effectively in order to achieve a common high-level use case, such as smart metering for billing or demand response for load curtailment. Furthermore, a substantial amount of personal data is often needed for achieving that goal. Capturing and processing personal data in the smart grid increases customer concerns about privacy and in addition, certain statutory and operational requirements regarding privacy aware data processing and storage have to be met. An increase of privacy constraints, however, often limits the operational capabilities of the system. In this paper, we present an approach that automates the process of finding an optimal balance between privacy requirements and operational requirements in a smart grid use case and application scenario. This is achieved by formally describing use cases in an abstract model and by finding an algorithm that determines the optimum balance by forward mapping privacy and operational impacts. For this optimal balancing algorithm both, a numeric approximation and - if feasible - an analytic assessment are presented and investigated. The system is evaluated by applying the tool to a real-world use case from the University of Southern California (USC) microgrid.
Year
DOI
Venue
2015
10.1109/ISGT.2015.7131805
Innovative Smart Grid Technologies Conference
Keywords
Field
DocType
approximation theory,distributed power generation,power generation protection,power system security,smart power grids,USC microgrid,University of Southern California,billing,common high-level use case,demand response,forward mapping privacy,heterogeneous systems,load curtailment,model-based assessment,numeric approximation,operational capabilities,operational requirement,optimal balancing algorithm,privacy requirements,privacy-aware data processing,privacy-aware data storage,smart grid,smart metering
Data processing,Use case,Smart grid,Computer security,Demand response,Engineering,Information privacy,Metering mode,Privacy software,Microgrid,Distributed computing
Conference
Citations 
PageRank 
References 
5
0.42
7
Authors
4
Name
Order
Citations
PageRank
Fabian Knirsch1264.07
Dominik Engel220625.60
Marc Frîncu3152.32
Viktor K. Prasanna47211762.74