Biblio

The most vital requirement for the electric power system as a critical infrastructure is its security of supply. In course of the transition of the electric energy system, however, the security provided by the N-1 principle increasingly reaches its limits. The IT/OT convergence changes the threat structure significantly. New risk factors, that can lead to major blackouts, are added to the existing ones. The problem, however, the cost of security optimizations are not always in proportion to their value. Not every component is equally critical to the energy system, so the question arises, "How secure does my system need to be?". To adress the security-by-design principle, this contribution introduces a Security Metric (SecMet) that can be applied to Smart Grid architectures and its components and deliver an indicator for the "Securitisation Need" based on an individual risk assessment.

The Smart Grid is the leading example when talking about complex and critical System-of-Systems (SoS). Specifically regarding the Smart Grids criticality, dependability is a central quality attribute to strive for. Combined with the desire of agility in modern development, conventional systems engineering methods reach their limits in coping with these requirements. However, approaches from model-based or model-driven engineering can reduce complexity and encourage development with rapidly changing requirements. Model-Driven Engineering (MDE) is known to be more successful in a domain specific manner. For that reason, an approach for Domain Specific Systems Engineering (DSSE) in the Smart Grid has already been specially investigated. This Model-Driven Architecture (MDA) approach especially aims the comprehensibility of complex systems. In this context, the traceability of requirements is a centrally pursued attribute. However, achieving continuing traceability between the model of a system and the concrete implementation is still an open issue. To close this gap, the present research paper introduces a Model-Centric Software Development (MCSD) solution for Smart Grid applications. Based on two exploratory case studies, the focus finally lies on the automated generation of partial implementation artifacts and the evaluation of traceability, based on dedicated functional aspects.