Skip to main content

VILLASframework

Welcome to the documentation of the VILLASframework.

VILLASframework

VILLASframework is a toolset for local and geographically distributed real-time co-simulation.

Real-time networking of test benches​

Real-time simulators are already used extensively for academic research as well as industrial applications in electrical power networks. The primary application of real-time simulators is in the area of hardware-in-the-loop (HiL) simulation. In this context, HiL simulation integrates simulated components with a physical device under test (DUT) in a feedback loop. In this way, the interactions of real components in a virtual overall system can be investigated with the aid of simulated subsystems. In addition to cost savings during development, HiL simulation enables the validation of components even for contingencies that cannot be realized without simulation.

An extension of the HiL approach is Geographically Distributed Real Time Simulation (GD-RTS), in which the simulation infrastructure, consisting of component test benches as well as simulation hardware, is not installed at one location, but is used coupled across geographical distances. Since in HiL simulations the communication latencies between simulation hardware and test benches have a direct influence on the mappable dynamic range of the simulation, long distances between coupled test benches are a particular challenge. However, the potential of such a GD-RTS is large. While in classical HiL simulation investigations with several test benches or different simulation hardware are difficult to implement due to high acquisition costs and special requirements, the geographically distributed simulation allows to use existing simulation infrastructure coupled at different locations. The integration of different test bench components enables the interaction between interdisciplinary teams of experts whose collaboration on joint component tests was not possible before. For manufacturers and/or certifiers, geographically distributed simulation enables remote access to simulation infrastructure without having to move components or personnel between locations. Another advantage is the assurance of confidentiality of, for example, model data, which in such a simulation only leaves the communication infrastructure of a network participant via defined interface.

VILLASframework​

VILLAS is framework for coupling test beds and real-time simulators between geographically distributed laboratories. The development of VILLAS is mainly driven by RWTH Aachen University and was originally designed here for geographically distributed real-time simulation of electrical networks, but can also be used without restrictions for simulation in other domains as well as multi-physical systems.

The framework consists of several independent components, which can be combined according to requirements and needed functions.

Central is VILLASnode as interface for the coupling between the involved components. It enables real-time data exchange via various protocols and data formats.

In addition, VILLASweb provides a web-based user interface with which scenarios, user groups, laboratory infrastructure and measurement results can be managed. The execution of experiments can be monitored and controlled by means of a freely programmable virtual control room. For this purpose, real-time data can be transferred directly to the web-based control room via the VILLASnode interface.

The configuration, inventory and control of the involved laboratory infrastructure is realized via the VILLAScontroller, which exchanges the current status as well as control commands and configurations between the virtual control room and the laboratory infrastructure.

The modular structure of the framework allows easy extensibility with new interfaces, protocols and data formats. This is supported by the open development approach, which makes the framework fully available as open source software under the Apache 2.0 license to external users, allowing them to collaborate on the common code base.

VILLAS can therefore be used as a manufacturer-independent tool for coupling various components and has already been in use for several years at approx. 29 universities and research institutions (https://villas.fein-aachen.org/docs/users). The efficiency of VILLASframework was already proven in several national, as well as international research projects. Further publications on the VILLASframework are available at https://villas.fein-aachen.org/docs/publications.

It is actively developed by the Institute for Automation of Complex Power Systems at RWTH Aachen University.

caution

For starters we recommend to read the installation guide!

Components​

VILLASframework consists of several components:

Download​

The source code of all open source components is available via GitHub.

2014-2024, Institute for Automation of Complex Power Systems, EONERC

Licensing​

GPLv3 logo

VILLASnode, VILLASfpga, VILLAScontroller, VILLASdataprocessing and the VILLASnode Signaling Server are released as open source software under the Apache 2.0 license.

GPLv3 logo

VILLASweb is released as open source software under the GPLv3 license.

Other licensing options available upon request. Please contact Prof. Antonello Monti for further details.

Authors​

Several people and organizations are involved in the development of the VILLASframework. Most contributions are made by the following authors:

Institute for Automation of Complex Power Systems (ACS)
EON Energy Research Center (EONERC)
RWTH University Aachen, Germany

EONERC ACS Logo

OPAL-RT Germany GmbH

OPAL-RT Germany Logo

Contact & Community​

GitHub issues and discussion boards are the preferred way to get in touch with us:

Funding​

Funding is provided by the following research projects:

  • RESERVE: European Unions Horizon 2020 research and innovation programme under grant agreement No. 727481.
  • VILLAS: Funding provided by JARA-ENERGY. Jülich-Aachen Research Alliance (JARA) is an initiative of RWTH Aachen University and Forschungszentrum Jülich.
  • Urban Energy Lab 4.0: Funding is provided by the European Regional Development Fund (EFRE).
  • ERIGrid2.0: European Unions Horizon 2020 research and innovation programme under grant agreement No. 870620.
  • ENSURE: Federal Ministry of Education and Research supports the project under identification 03SFK1C0-3.
  • NFDI4Energy: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – 501865131.
  • HYPERRIDE: European Unions Horizon 2020 research and innovation programme under grant agreement No. 957788