Visible to the public TE-SAT: Transactive Energy Simulation and Analysis Toolsuite

TitleTE-SAT: Transactive Energy Simulation and Analysis Toolsuite
Publication TypeConference Paper
Year of Publication2020
AuthorsNeema, Himanshu, Sztipanovits, Janos, Hess, David J., Lee, Dasom
Conference Name2020 IEEE Workshop on Design Automation for CPS and IoT (DESTION)
Date PublishedApril 2020
PublisherIEEE
ISBN Number978-1-7281-9994-8
KeywordsAnalytical models, Co-Simulation, Collaboration, collaboration platform, compositionality, Computational modeling, Cyber-physical systems, design studio, Global Grid, Grid Security, GridLAB-D, Human Behavior, Load modeling, Metrics, Modeling and Simulation, Pricing, pubcrawl, resilience, Resiliency, security, Societal Implications, solar energy, Tools, transactive energy, Web Browser Security
Abstract

Transactive Energy (TE) is an emerging discipline that utilizes economic and control techniques for operating and managing the power grid effectively. Distributed Energy Resources (DERs) represent a fundamental shift away from traditionally centrally managed energy generation and storage to one that is rather distributed. However, integrating and managing DERs into the power grid is highly challenging owing to the TE implementation issues such as privacy, equity, efficiency, reliability, and security. The TE market structures allow utilities to transact (i.e., buy and sell) power services (production, distribution, and storage) from/to DER providers integrated as part of the grid. Flexible power pricing in TE enables power services transactions to dynamically adjust power generation and storage in a way that continuously balances power supply and demand as well as minimize cost of grid operations. Therefore, it has become important to analyze various market models utilized in different TE applications for their impact on above implementation issues.In this demo, we show-case the Transactive Energy Simulation and Analysis Toolsuite (TE-SAT) with its three publicly available design studios for experimenting with TE markets. All three design studios are built using metamodeling tool called the Web-based Graphical Modeling Environment (WebGME). Using a Git-like storage and tracking backend server, WebGME enables multi-user editing on models and experiments using simply a web-browser. This directly facilitates collaboration among different TE stakeholders for developing and analyzing grid operations and market models. Additionally, these design studios provide an integrated and scalable cloud backend for running corresponding simulation experiments.

URLhttps://ieeexplore.ieee.org/document/9140486
DOI10.1109/DESTION50928.2020.00009
Citation Keyneema_te-sat_2020