ETX: A Flexible Simulation Framework for Design of Transactive Energy Systems

Zhang, Shida; May, Daniel; Atrazhev, Peter; Gül, Mustafa; Leach, Andrew; Weis, Tim; Musílek, Petr

doi:10.1109/ccece.2019.8861523

Cited by 2 publications

(3 citation statements)

References 8 publications

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“…-The ETX [105] framework worked with energy trading and management implementing communication with sockets.io. It used trained neural networks for power-flow calculations, aiming at coordinated and repeatable investigations of market, operations, and regulations actions 24 .…”

Section: Transactive Energy Systemsmentioning

confidence: 99%

Tools for modelling and simulating the Smart Grid

Czekster

2020

Preprint

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The Smart Grid (SG) is a Cyber-Physical System (CPS) considered a critical infrastructure divided into cyber (software) and physical (hardware) counterparts that complement each other. It is responsible for timely power provision wrapped by Information and Communication Technologies (ICT) for handling bi-directional energy flows in electric power grids. Enacting control and performance over the massive infrastructure of the SG requires convenient analysis methods. Modelling and simulation (M&S) is a performance evaluation technique used to study virtually any system by testing designs and artificially creating 'what-if' scenarios for system reasoning and advanced analysis. M&S avoids stressing the actual physical infrastructure and systems in production by addressing the problem in a purely computational perspective. Present work compiles a non-exhaustive list of tools for M&S of interest when tackling SG capabilities. Our contribution is to delineate available options for modellers when considering power systems in combination with ICT. We also show the auxiliary tools and details of most relevant solutions pointing out major features and combinations over the years.

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Section: Transactive Energy Systemsmentioning

confidence: 99%

Tools for modelling and simulating the Smart Grid

Czekster

2020

Preprint

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“…Literature describes the need for an increase in flexibility as the "flexibility gap" [2]. In leveraging the necessary flexibility potentials and closing this gap, digital technologies play a crucial role, as they facilitate information exchange among electricity market participants and make actual flexibility needs more transparent [3,4]. Moreover, digital technologies enable faster (market) interactions and automated trading close to real-time [3].…”

Section: Introductionmentioning

confidence: 99%

“…In leveraging the necessary flexibility potentials and closing this gap, digital technologies play a crucial role, as they facilitate information exchange among electricity market participants and make actual flexibility needs more transparent [3,4]. Moreover, digital technologies enable faster (market) interactions and automated trading close to real-time [3]. As a result, digital technologies and corresponding trading algorithms may exploit flexibility potentials with higher speed and better temporal and spatial accuracy than human traders and, thereby, contribute to overall system resilience.…”

Section: Introductionmentioning

confidence: 99%

How to trade electricity flexibility using artificial intelligence - An integrated algorithmic framework

Hanny¹,

Körner²,

Leinauer³

et al. 2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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In course of the energy transition, the growing share of Renewable Energy Sources (RES) makes electricity generation more decentralized and intermittent. This increases the relevance of exploiting flexibility potentials that help balancing intermittent RES supply and demand and, thus, contribute to overall system resilience. Digital technologies, in the form of automated trading algorithms, may considerably contribute to flexibility exploitation, as they enable faster and more accurate market interactions. In this paper, we develop an integrated algorithmic framework that finds an optimal trading strategy for flexibility on multiple markets. Hence, our work supports the trading of flexibility in a multi-market environment that results in enhanced market integration and harmonization of economically traded and physically delivered electricity, which finally promotes resilience in highly complex electricity systems.

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ETX: A Flexible Simulation Framework for Design of Transactive Energy Systems

Cited by 2 publications

References 8 publications

Tools for modelling and simulating the Smart Grid

Tools for modelling and simulating the Smart Grid

How to trade electricity flexibility using artificial intelligence - An integrated algorithmic framework

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