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Title: Transactive Energy Simulation Platform

Abstract

TESP combines existing domain simulators in the electric power grid, with new transactive agents, growth models and evaluation scripts. The existing domain simulators include GridLAB-D for the distribution grid and single-family residential buildings, MATPOWER for transmission and bulk generation, and EnergyPlus for large buildings. More are planned for subsequent versions of TESP. The new elements are: TEAgents - simulate market participants and transactive systems for market clearing. Some of this functionality was extracted from GridLAB-D and implemented in Python for customization by PNNL and others; Growth Model - a means for simulating system changes over a multiyear period, including both normal load growth and specific investment decisions. Customizable in Python code; and Evaluation Script - a means of evaluating different transactive systems through customizable post-processing in Python code. TESP provides a method for other researchers and vendors to design transactive systems, and test them in a virtual environment. It allows customization of the key components by modifying Python code.

Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability (OE)
Contributing Org.:
Battelle Memorial Institute, Pacific Northwest Division (PNNL)
OSTI Identifier:
1348185
Report Number(s):
TESP; 005191MLTPL00
Battelle IPID 31092-E
DOE Contract Number:
AC05-76RL01830
Resource Type:
Software
Software Revision:
00
Software Package Number:
005191
Software CPU:
MLTPL
Open Source:
Yes
Available on PNNL store.pnnl.gov (link) as open source / no fee.
Source Code Available:
Yes
Other Software Info:
GridLAB-D is a PNNL open-source program that will be distributed with TESP FNCS is a PNNL open-source program that will be distributed with TESP
Related Software:
Users will need either MATLAB (commercial software from Mathworks) or GNU Octave, which is an open-source alternative to MATLAB licensed under GPL from https://www.gnu.org/software/octave/ Users will also need a Python interpreter, which is already installed on Linux and Mac OS X systems. For Windows, users may need to download it from https://www.python.org/. Python is open source and uses its own GPLcompatible license.
Country of Publication:
United States

Citation Formats

. Transactive Energy Simulation Platform. Computer software. https://www.osti.gov//servlets/purl/1348185. Vers. 00. USDOE Office of Electricity Delivery and Energy Reliability (OE). 24 Mar. 2017. Web.
. (2017, March 24). Transactive Energy Simulation Platform (Version 00) [Computer software]. https://www.osti.gov//servlets/purl/1348185.
. Transactive Energy Simulation Platform. Computer software. Version 00. March 24, 2017. https://www.osti.gov//servlets/purl/1348185.
@misc{osti_1348185,
title = {Transactive Energy Simulation Platform, Version 00},
author = {},
abstractNote = {TESP combines existing domain simulators in the electric power grid, with new transactive agents, growth models and evaluation scripts. The existing domain simulators include GridLAB-D for the distribution grid and single-family residential buildings, MATPOWER for transmission and bulk generation, and EnergyPlus for large buildings. More are planned for subsequent versions of TESP. The new elements are: TEAgents - simulate market participants and transactive systems for market clearing. Some of this functionality was extracted from GridLAB-D and implemented in Python for customization by PNNL and others; Growth Model - a means for simulating system changes over a multiyear period, including both normal load growth and specific investment decisions. Customizable in Python code; and Evaluation Script - a means of evaluating different transactive systems through customizable post-processing in Python code. TESP provides a method for other researchers and vendors to design transactive systems, and test them in a virtual environment. It allows customization of the key components by modifying Python code.},
url = {https://www.osti.gov//servlets/purl/1348185},
doi = {},
year = {Fri Mar 24 00:00:00 EDT 2017},
month = {Fri Mar 24 00:00:00 EDT 2017},
note =
}

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