Coupling OMNeT++ and Mosaik for Integrated Co-Simulation of ICT-Reliant Smart Grids

Oest, Frauke; Frost, Emilie; Radtke, Malin; Lehnhoff, Sebastian

doi:10.1145/3607120.3607123

Cited by 7 publications

(2 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Detailed ICT simulation was not previously considered in Mosaik [6,28,45,46]. We show that coupling OMNeT++ with Mosaik [47] can be avoided, provided that domain-specific simulators support FMI or RPC, and the development time should be minimized. Correlation between the size of the simulated energy network and the execution time of the co-simulation is important for understanding the feasibility of large-scale simulations, and has not been shown before.…”

Section: Discussionmentioning

confidence: 98%

Co-Simulation of a Cellular Energy System

Venzke,

Shudrenko,

Youssfi

et al. 2023

Energies

View full text Add to dashboard Cite

The concept of cellular energy systems of the German Association for Electrical, Electronic & Information Technologies (VDE) proposes sector coupled energy networks for energy transition based on cellular structures. Its decentralized control approach radically differs from that of existing networks. Deeply integrated information and communications technologies (ICT) open opportunities for increased resilience and optimizations. The exploration of this concept requires a comprehensive simulation tool. In this paper, we investigate simulation techniques for cellular energy systems and present a concept based on co-simulation. We combine simulation tools developed for different domains. A classical tool for studying physical aspects of energy systems (Modelica, TransiEnt library) is fused with a state-of-the-art communication networks simulator (OMNeT++) via the standardized functional mock-up interface (FMI). New components, such as cell managers, aggregators, and markets, are integrated via remote procedure calls. A special feature of our concept is that the communication simulator coordinates the co-simulation as a master and integrates other components via a proxy concept. Model consistency across different domains is achieved by a common description of the energy system. Evaluation proves the feasibility of the concept and shows simulation speeds about 20 times faster than real time for a cell with 111 households.

show abstract

Section: Discussionmentioning

confidence: 98%

Co-Simulation of a Cellular Energy System

Venzke,

Shudrenko,

Youssfi

et al. 2023

Energies

View full text Add to dashboard Cite

show abstract

“…Scenario 2 shows the state degradation of the grid service due to the timeliness property and the ability of the proposed model to analyse the impact of the timeliness of communication network components on the state variables. Based on this, the system operator could take countermeasures such as [28] and [23] to relieve the congestion in the core network.…”

Section: Operational State Trajectories For State Estimationmentioning

confidence: 99%

Modelling the propagation of properties across services in cyber-physical energy systems

Narayan,

Brand,

Huxoll

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

Modern power systems, referred to as cyber-physical energy systems (CPESs), are complex systems with strong interdependencies between power and information and communication technology (ICT) systems. CPESs also have dependencies between the essential grid services. For instance, coordinated voltage control depends on state estimation, which depends on measurement acquisition. Due to the high relevance of these grid services for operating CPESs, assessing their performance is crucial for assessing the performance of a CPES. Most of these grid services are so-called ICT-enabled grid services, which means that they rely to a high degree on ICT. Accordingly, properties such as availability, correctness and timeliness, which depend on the involved software, hardware and data of the ICT system, must be considered for assessing the performance of an ICT-enabled grid service. Disturbances and repair actions in CPESs impact these properties, which can then propagate and affect the performance of a grid service as well as other dependent grid services. There is, therefore, a need for the ability to model the influence of the properties of software, hardware and data on ICT-enabled grid services for single services as well as across several services, resulting in a propagation of these parameters. This paper proposes a meta model for assessing the performance of ICT-enabled grid services, which can be instantiated for different grid services considering their dependencies. A multi-dimensional operational state space, which serves as a visualisation of the performance of grid services in terms of their state trajectory, is also proposed in this paper. These contributions enable new possibilities for planning and vulnerability analyses: property changes in parts of the ICT system can be simulated to investigate their consequences throughout the ICT-enabled grid services. This is demonstrated by a case study with a state estimation service considering an exemplary CPES and scenarios with disturbances. The performance of this state estimation service considering the disturbances is then investigated using the proposed meta model, and the change in performance is visualised as trajectories in the proposed operational state space.

show abstract