Suchergebnisse

To coordinate the operation of the different generating units, storage systems and loads belonging to a microgrid, typically a Microgrid Control System (MGCS) is needed. This MGCS defines the set points to be delivered to the controllable devices to guarantee the appropriate operation of the microgrid both from the technical and the economic perspectives. The MGCS must be able to operate the microgrid in islanded mode, grid-connected, and withstand the transitions between the two operatingmodes. Recently two international standards have been approved dealing with microgrid con-trollers, "IEEE 2030.7-2017 – IEEE Standard for the Specification of Microgrid Control-ler" and "IEEE 2030.8-2018 - IEEE Standard for the Testing of Microgrid Controllers". ; The research leading to this publication has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 654113 via the Trans-national Access (TA) User Project 05.024-2018.

PowerDynamics.jl is a Julia package for time-domain modeling of power grids that is specifically designed for the stability analysis of systems with high shares of renewable energies. It makes use of Julia's state-of-the-art differential equation solvers and is highly performant even for systems with a large number of components. Further, it is compatible with Julia's machine learning libraries and allows for the utilization of these methods for dynamical optimization and parameter fitting. The package comes with a number of predefined models for synchronous machines, transmission lines and inverter systems. However, the strict open-source approach and a macro-based user-interface also allows for an easy implementation of custom-built models which makes it especially interesting for the design and testing of new control strategies for distributed generation units. This paper presents how the modeling concept, implemented component models and fault scenarios have been experimentally tested against measurements in the microgrid lab of TECNALIA. ; This research has been performed using the ERIGrid Research Infrastructure and is part of a project that has received funding from the European Union's Horizon 2020 Research and Innova-tion Programme under the Grant Agreement No. 654113. The support of the European Research Infrastructure ERIGrid and its partner TECNALIA is very much appreciated. We further acknowl-edge the Support by BMBF(CoNDyNet2FK.03EK3055A), the DFG (ExSyCo-Grid, 410409736), the Leibniz competition (T42/2018) and the Federal Ministry of Economics (MAriE, FK. 03Ei4012B).