High-fidelity validation with smart grid modelling complexity : considerations on emerging solutions

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Azim, Syeda Mayesha and Feng, Zhiwang and Syed, Mazheruddin and Burt, Graeme; (2023) High-fidelity validation with smart grid modelling complexity : considerations on emerging solutions. In: 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). IEEE International Conference on Smart Grid Communications (SmartGridComm) . IEEE, GBR. ISBN 9781665455565 (https://doi.org/10.1109/SmartGridComm57358.2023.10...)

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Abstract

The continued integration of increased volumes of distributed energy resources and flexibility services into power networks across the world is introducing increasing complexity into system operations. With the growing number and dimensions of complexity, modelling of smart grids for simulation is becoming more demanding. In particular, achieving high-fidelity validation of such complex cyber-physical systems is growing in importance and in scale of challenge. Coordinated real-time simulation across multiple platforms, termed geographically distributed simulations (GDS), paves a new pathway for high-fidelity validation of large-scale smart grids. Furthermore, the integration of cloud solutions enables efficient initialization of simulations and ensures secure data communications among GDS participants. This paper provides a comprehensive overview of different types of real-time simulation concepts and explains how they can best be utilized to realize GDS with enhanced computational capability. Subsequently, this paper summarizes the applicability of GDS, specifically emphasizing on cloud-based GDS, to facilitate high-fidelity validation of complex smart grids.

ORCID iDs

Azim, Syeda Mayesha, Feng, Zhiwang ORCID logoORCID: https://orcid.org/0000-0001-5612-0050, Syed, Mazheruddin ORCID logoORCID: https://orcid.org/0000-0003-3147-0817 and Burt, Graeme ORCID logoORCID: https://orcid.org/0000-0002-0315-5919;
  • Item type:Book Section
    ID code:87584
    Dates:
    Date
    Event
    6 December 2023
    Published
    20 August 2023
    Accepted
    Notes:Copyright © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering > Production of electric energy or power
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:12 Dec 2023 09:55
    Last modified:11 Nov 2024 15:34
    URI:https://strathprints.strath.ac.uk/id/eprint/87584
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