A Cosimulation Architecture for Power System, Communication, and Market in the Smart Grid

Abstract

Smart grids evolve rapidly towards a system that includes components from different domains, which makes interdisciplinary modelling and analysis indispensable. In this paper, we present a cosimulation architecture for smart grids together with a comprehensive data model for the holistic representation of the power system, the communication network, and the energy market. Cosimulation is preferred over a monolithic approach since it allows leveraging the capabilities of existing, well-established domainspecific software. The challenges that arise in a multidomain smart grid cosimulation are identified for typical use cases through a discussion of the recent literature. Based on the identified requirements and use cases, a joint representation of the smart grid ecosystem is facilitated by a comprehensive data model. The proposed data model is then integrated in a software architecture, where the domain-specific simulators for the power grid, the communication network, and the market mechanisms are combined in a cosimulation framework. The details of the software architecture and its implementation are presented. Finally, the implemented framework is used for the cosimulation of a virtual power plant, where battery storages are controlled by a novel peak-shaving algorithm, and the battery storages and the market entity are interfaced through a communication network.

A Distributed Multimodel Cosimulation Platform to Assess General Purpose Services in Smart Grids

“…The presented literature solutions, with the exception of [19], do not follow SGAM that supports the design of services highlighting the interoperability among the actors in the smart grid. Moreover, [10], [13], [17] are designed and implemented for a specific use-case scenario with particular requirements.…”

“…OOCoSim framework has been applied to study only demand response application in a smart-grid scenario. Finally, Mirz et al [19] proposed a co-simulation architecture for power system communication and market analysis in smart grids. Authors proposed a data-model to integrate and allow the communication among i) market models in python, ii) power system simulations in Modelica and iii) network models in ns-3.…”

Applying the Smart Grid Architecture Model for Designing and Validating System-of-Systems in the Power and Energy Domain: A European Perspective

“…Such an approach must involve classifications or metrics for model validity and accuracy as well as concepts for the semantical interaction of component models. Furthermore, synchronization capabilities of co-simulation frameworks (e.g., mosaik) have to be comparable with synchronization needs of simulators as stated in [102].…”

CPES Testing with mosaik: Co-Simulation Planning, Execution and Analysis

“…The MOSAIK co-simulation framework has already been applied by different institutions in a variety of CPES test cases [39][40][41], demonstrating features like interoperability with real-time laboratories [21], the possibility of simulator exchange [20], or distributed coordination of heterogeneous simulation components [42].…”