Using Modelling and Simulation as a Service (MSaaS) for Facilitating Flexibility-based Optimal Operation of Distribution Grids

Stüber, Moritz; Exel, Lukas; Frey, Georg

doi:10.5220/0006899106230630

Cited by 1 publication

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“…Providing MSaaS is a multi-faceted endeavour at the intersection of modelling and simulation (M&S), information science and software development and -operations (DevOps). The core hypothesis of MSaaS is that usability and reuse can be increased by making M&S functionality available to a broader audience via the internet; that functionality can be improved by facilitating the composition of M&S resources; and that performance can be improved by deploying applications in the cloud (see Stüber, Exel, and Frey 2018, section 2 for a detailed explanation and references to original research).…”

Section: Conceptsmentioning

confidence: 99%

A Cloud-native Implementation of the Simulation as a Service-Concept Based on FMI

Stüber¹,

Frey²

2021

Linköping Electronic Conference Proceedings

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Providing modelling and simulation capabilities as a service promises to increase their value by improving accessibility for non-expert users and software agents as well as by leveraging cloud-computing technology to scale simulation performance beyond the capabilities of a single computer. In order to reach this potential, implementations must align their design with the architectural styles of cloud computing applications and the web in general.We present an open-source, cloud-native Simulation as a Service (SIMaaS)-implementation that gives access to models and allows simulating them on the web. The implementation uses Functional Mockup Units (FMUs) for co-simulation as an executable form of a model and relies on FMPy for simulation. It is realized as a microservice in the form of a REST-based HTTP-API. Functionality and performance are demonstrated by using the service to create ensemble forecasts for PV systems and to search for an optimal parameter set using a genetic algorithm. Conceptual limitations and the resulting opportunities for further work are summarized.

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Section: Conceptsmentioning

confidence: 99%