With the extending complexity of microgrid topologies due to the combination of multiple energy resources like electricity, water, steam, and hydrogen, the algorithmic challenges for power dispatch control software increase steadily. Approaches based on mixed-integer programming have strong abilities in modeling complicated dependencies, but come with high requirements on executing control hardware and need special solvers which imply high licensing costs. In this paper, we present a rule-based algorithm for controlling hybrid microgrids that is based on prioritization of buses and components. It can run on small devices and due to its priority-based nature, results can easily be understood and verified by users.

In this paper a generic simulation environment is introduced that allows the integration of commercial and research-based simulation tools in a service-oriented manufacturing environment, such as in Industrie 4.0 factories, to support in flexible reconfiguration and scheduling decisions. For this purpose, the simulation environment is connected to a generic middleware and processes parameterized simulation requests via automated model generation and execution, based on current shop floor conditions. Those simulation requests are formulated in a standardized description language for production systems, in this case a derivative of AutomationML (AML) that was extended by simulation specific data sets. Therefore, the Simulation Environment comprises different tool- and non-tool-specific functionalities and components that allow the integration of simulation tools into industrial IT platform environments.