TE-SAT: Transactive Energy Simulation and Analysis Toolsuite

HIMANSHU NEEMA is a Research Assistant Professor of Computer Science at Vanderbilt University. He holds a M.S. and Ph.D. in Computer Science from Vanderbilt University. Dr. Neema researches in the general area of model-based design and modeling and simulation of Cyber-Physical Systems and their integrated simulation with hardware- and humans- in the loop. His research interests include: Modeling & Simulation, Model-Integrated Computing, Distributed Simulations, Artificial Intelligence, Constraint Programming, Planning & Scheduling, Smart-Grids, Transactive Energy, Service-Oriented Architectures (SOAs), Semantic Web, and Automated Document Analysis & Classification. Dr. Neema has 22 years of experience in research and development of software applications covering the above areas and has co-authored more than 50 publications.

ABSTRACT

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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.