GridLAB-D: An Agent-Based Simulation Framework for Smart Grids
Abstract
Simulation of smart grid technologies requires a fundamentally new approach to integrated modeling of power systems, energy markets, building technologies, and the plethora of other resources and assets that are becoming part of modern electricity production, delivery, and consumption systems. As a result, the US Department of Energy’s Office of Electricity commissioned the development of a new type of power system simulation tool called GridLAB-D that uses an agent-based approach to simulating smart grids. This paper presents the numerical methods and approach to time-series simulation used by GridLAB-D and reviews applications in power system studies, market design, building control system design, and integration of wind power in a smart grid.
- Authors:
-
- Pacific Northwest National Laboratory, Richland, WA 99352, USA, Department of Mechanical Engineering, and Institute for Integrated Energy Systems, University of Victoria, Victoria, BC, Canada V8P 5C2
- Pacific Northwest National Laboratory, Richland, WA 99352, USA
- Department of Mechanical Engineering, and Institute for Integrated Energy Systems, University of Victoria, Victoria, BC, Canada V8P 5C2, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1197851
- Resource Type:
- Published Article
- Journal Name:
- Journal of Applied Mathematics
- Additional Journal Information:
- Journal Name: Journal of Applied Mathematics Journal Volume: 2014; Journal ID: ISSN 1110-757X
- Publisher:
- Hindawi Publishing Corporation
- Country of Publication:
- Country unknown/Code not available
- Language:
- English
Citation Formats
Chassin, David P., Fuller, Jason C., and Djilali, Ned. GridLAB-D: An Agent-Based Simulation Framework for Smart Grids. Country unknown/Code not available: N. p., 2014.
Web. doi:10.1155/2014/492320.
Chassin, David P., Fuller, Jason C., & Djilali, Ned. GridLAB-D: An Agent-Based Simulation Framework for Smart Grids. Country unknown/Code not available. https://doi.org/10.1155/2014/492320
Chassin, David P., Fuller, Jason C., and Djilali, Ned. Wed .
"GridLAB-D: An Agent-Based Simulation Framework for Smart Grids". Country unknown/Code not available. https://doi.org/10.1155/2014/492320.
@article{osti_1197851,
title = {GridLAB-D: An Agent-Based Simulation Framework for Smart Grids},
author = {Chassin, David P. and Fuller, Jason C. and Djilali, Ned},
abstractNote = {Simulation of smart grid technologies requires a fundamentally new approach to integrated modeling of power systems, energy markets, building technologies, and the plethora of other resources and assets that are becoming part of modern electricity production, delivery, and consumption systems. As a result, the US Department of Energy’s Office of Electricity commissioned the development of a new type of power system simulation tool called GridLAB-D that uses an agent-based approach to simulating smart grids. This paper presents the numerical methods and approach to time-series simulation used by GridLAB-D and reviews applications in power system studies, market design, building control system design, and integration of wind power in a smart grid.},
doi = {10.1155/2014/492320},
journal = {Journal of Applied Mathematics},
number = ,
volume = 2014,
place = {Country unknown/Code not available},
year = {Wed Jan 01 00:00:00 EST 2014},
month = {Wed Jan 01 00:00:00 EST 2014}
}
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1155/2014/492320
https://doi.org/10.1155/2014/492320
Other availability
Search WorldCat to find libraries that may hold this journal
Cited by: 99 works
Citation information provided by
Web of Science
Web of Science
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.
Works referenced in this record:
Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework
journal, August 2007
- Sun, Junjie; Tesfatsion, Leigh
- Computational Economics, Vol. 30, Issue 3
Modeling framework and validation of a smart grid and demand response system for wind power integration
journal, January 2014
- Broeer, Torsten; Fuller, Jason; Tuffner, Francis
- Applied Energy, Vol. 113, p. 199-207
Modeling Uncertainties in Aggregated Thermostatically Controlled Loads Using a State Queueing Model
journal, May 2005
- Lu, N.; Chassin, D. P.; Widergren, S. E.
- IEEE Transactions on Power Systems, Vol. 20, Issue 2
Electricity market modeling trends
journal, May 2005
- Ventosa, Mariano; Baı́llo, Álvaro; Ramos, Andrés
- Energy Policy, Vol. 33, Issue 7
Three-phase power flow calculations using the current injection method
journal, May 2000
- Garcia, P. A. N.; Pereira, J. L. R.; Carneiro, S.
- IEEE Transactions on Power Systems, Vol. 15, Issue 2
The Economist as Engineer: Game Theory, Experimentation, and Computation as Tools for Design Economics
journal, July 2002
- Roth, Alvin E.
- Econometrica, Vol. 70, Issue 4
A State-Queueing Model of Thermostatically Controlled Appliances
journal, August 2004
- Lu, N.; Chassin, D. P.
- IEEE Transactions on Power Systems, Vol. 19, Issue 3, p. 1666-1673
The spectrum of power from wind turbines
journal, June 2007
- Apt, Jay
- Journal of Power Sources, Vol. 169, Issue 2