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Title: GridLAB-D: An Agent-Based Simulation Framework for Smart Grids

Journal Article · · Journal of Applied Mathematics
DOI:https://doi.org/10.1155/2014/492320· OSTI ID:1197851
 [1];  [2];  [3]
  1. 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
  2. Pacific Northwest National Laboratory, Richland, WA 99352, USA
  3. 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

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.

Sponsoring Organization:
USDOE
OSTI ID:
1197851
Journal Information:
Journal of Applied Mathematics, Journal Name: Journal of Applied Mathematics Vol. 2014; ISSN 1110-757X
Publisher:
Hindawi Publishing CorporationCopyright Statement
Country of Publication:
Country unknown/Code not available
Language:
English
Citation Metrics:
Cited by: 99 works
Citation information provided by
Web of Science

References (8)

Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework journal August 2007
Modeling framework and validation of a smart grid and demand response system for wind power integration journal January 2014
Modeling Uncertainties in Aggregated Thermostatically Controlled Loads Using a State Queueing Model journal May 2005
Electricity market modeling trends journal May 2005
Three-phase power flow calculations using the current injection method journal May 2000
The Economist as Engineer: Game Theory, Experimentation, and Computation as Tools for Design Economics journal July 2002
A State-Queueing Model of Thermostatically Controlled Appliances journal August 2004
The spectrum of power from wind turbines journal June 2007

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