Modelling access control for CIM based graph model in Smart Grids

Abstract

Consumption of electricity has grown, and that tendency will continue according to Energy Information Administration (EIA). Most modern distribution networks, evolving into Smart Grids, are managed through sophisticated software, such as advanced distribution management systems (ADMS). Their operations are based on gathering, analysis and transformation of data coming from the different devices in distribution network. Data volume in Smart Grids is increasing rapidly. Therefore, handling that growing amount of data may pose significant challenges for relational databases in the future, as they may struggle with demand for execution of complex queries. In some cases, like in modeling power system network, the data model is naturally represented by a graph, hence graph databases could provide viable, more efficient alternative. The paper is proposing an approach to include sensitive data access permissions in a graph oriented database – enabling us to decide who can access the sensitive data and who cannot. We have performed analysis on security controls to limit the access to personal data using a realistic data model derived from an existing network model of power distribution utility based in Europe, but described approach is also applicable to other sensitive data. We concluded that the proposed approach would provide ability for implementing access management security controls, while each approach would differently affect the levels of overall system performances.