Controlled Self-Organization in Smart Grids

Distributed algorithms and multi-agent systems have been studied in Smart Grid research for several years to address the problems arising from the integration of a substantial amount of distributed energy units. To change the role of these units from an uncontrolled feed-in behavior to actively contributing to system stability, efficient control system integration and scalability are important requirements for Smart Grid systems in the given domain. In this work, we present ISAAC, an energy unit aggregation and planning software based on the principles of controlled self-organization and regulated autonomy.