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

Topics: Decision Support Systems; Modeling, Simulation and Architecture; Production Planning, Scheduling and Control; Software Agents for Intelligent Control Systems; System Modeling; Systems Modeling and Simulation; Systems Modeling and Simulation

Authors: Moritz Stüber ; Lukas Exel and Georg Frey

Affiliation: Chair of Automation and Energy Systems, Saarland University, Campus A5 1, 66123, Saarbrücken and Germany

Keyword(s): Modelling and Simulation as a Service (MSaaS), Simulation as a Service (SIMaaS), Service-oriented Architecture (SOA), Flexibility, Power-to-Heat.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Cardiovascular Technologies ; Computing and Telecommunications in Cardiology ; Data Engineering ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; Health Engineering and Technology Applications ; Industrial Engineering ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Knowledge-Based Systems ; Modeling, Simulation and Architectures ; Production Planning, Scheduling and Control ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control ; Software Agents for Intelligent Control Systems ; Symbolic Systems ; System Modeling ; Systems Modeling and Simulation

Abstract: In this contribution, initial results of a research project on modelling and simulation as a service (MSaaS) within the context of optimal operation of distribution grids by exploiting flexibility are summarized. Based on a brief description of service-oriented architecture (SOA), definitions and key aspects of MSaaS as well as open conceptual and technical challenges are outlined. Some specific aspects and challenges are then related to a possible application: a service that predicts the flexibility that a power-to-heat system can offer is implemented as an instance of MSaaS. The calculations are based on the current state of the system and a model defined in the equation-based, object-oriented language Modelica, as well as historical data when available. Thereby, an accurate and reliable representation of the flexiblity becomes available that facilitates its use for system balancing, energy market participation and grid operations. This functionality is exposed through a representa tional state transfer (REST)-based service interface, designed to allow for the straightforward integration with existing systems and other virtual resources. The service architecture and initial results of the implementation are described. (More)

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Paper citation in several formats:
Stüber, M.; Exel, L. and Frey, G. (2018). Using Modelling and Simulation as a Service (MSaaS) for Facilitating Flexibility-based Optimal Operation of Distribution Grids. In Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-321-6; ISSN 2184-2809, SciTePress, pages 613-620. DOI: 10.5220/0006899106130620

@conference{icinco18,
author={Moritz Stüber. and Lukas Exel. and Georg Frey.},
title={Using Modelling and Simulation as a Service (MSaaS) for Facilitating Flexibility-based Optimal Operation of Distribution Grids},
booktitle={Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2018},
pages={613-620},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006899106130620},
isbn={978-989-758-321-6},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - Using Modelling and Simulation as a Service (MSaaS) for Facilitating Flexibility-based Optimal Operation of Distribution Grids
SN - 978-989-758-321-6
IS - 2184-2809
AU - Stüber, M.
AU - Exel, L.
AU - Frey, G.
PY - 2018
SP - 613
EP - 620
DO - 10.5220/0006899106130620
PB - SciTePress