Towards Automation of Configuration Management for Multi-Research Infrastructure Experiments

The complexity and dynamic nature of laboratory configurations pose a challenge when undertaking joint experiments, involving multiple Research Infrastructures (RIs). In this context, this paper presents an approach towards the automation of Configuration Management (CM) for joint experiments between multiple labs. The objective is to develop a...

Message from the Chairs

Linking Semantic 3D City Models with Domain-Specific Simulation Tools for the Planning and Validation of Energy Applications at District Level

Worldwide, cities are nowadays formulating their own sustainability goals, including ambitious targets related to the generation and consumption of energy. In order to support decision makers in reaching these goals, energy experts typically rely on simulation models of urban energy systems, which provide a cheap and efficient way to analyze...

Simulation Based Assessment Methods

This chapter provides a brief overview of modelling and simulation approaches for smart grid systems. A special focus is put onto the coupling of simulation environments; i.e., the co-simulation of power systems and its components. Furthermore, selected implementations of standardized interfaces for domain simulators covering the domains of...

Message from the chairs

Smart Grid Co-Simulation by Developing an FMI-Compliant Interface for PSCAD

For smart grid assessment one needs to simulate varieties of components in different software environments. However, the existing simulation tools are domain oriented and cannot fulfil this need natively. Therefore, a smart grid simulation environment has to be established with accordingly accurate models for intra and inter-domain elements as...

D-JRA2.2 Smart Grid ICT Assessment Method

Work Package JRA2 has developed advanced simulation-based methods to check and validateSmart Grid scenarios, configurations and applications. The required models cover the various partsof Smart Grids, such as power system infrastructures, control algorithms, communication systems,market aspects or/and external factors like weather and people....

D-JRA2.3 Smart Grid Simulation Environment

This report summarizes the work conducted within ERIGrid related to an integrated simulation environment for large-scale systems.The main goal of the JRA2 is to develop advanced simulation-based tools and methods to validate Smart Grid scenarios, configurations and applications in con-text of co-simulation. The work done in D-JRA2.1 involved...

Towards Scalable FMI-based Co-simulation of Wind Energy Systems Using PowerFactory

Due to the increased deployment of renewable energy sources and intelligent components the electric power system will exhibit a large degree of heterogeneity, which requires inclusive and multi-disciplinary system assessment. The concept of co-simulation is a very attractive option to achieve this; each domain-specific subsystem can be addressed...

Recent developments in simulation-based assessments of integrated urban energy systems

Simulation-based assessments are a cost- and time-effective way of evaluating various aspects of large energy systems. For instance, they can help in the design process of energy systems, where they provide insights into technical or economic questions. Or they can be used for developing operational strategies and controllers to increase the...

Interfacing Power System and ICT Simulators: Challenges, State-of-the-Art, and Case Studies

With the transition towards a smart grid, the power system has become strongly intertwined with the information and communication technology (ICT) infrastructure. The interdependency of both domains requires a combined analysis of physical and ICT processes, but simulating these together is a major challenge due to the fundamentally different...

D-JRA2.1 Simulator coupling and Smart Grid libraries

Work package JRA2 focuses on the development of advanced simulation-based methods to checkand validate smart grid scenarios, configurations and corresponding applications. The main aim isto employ offline simulation of scenarios where a combination of parallel processing, advanced optimization techniques, and design-of-experiments is used to...