GridLAB-D is an open-source (BSD license) simulation and analysis tool that models emerging smart grid energy technologies. It couples power flow calculations with distribution automation models, building energy use and appliance demand models, and market models. It is used primarily to estimate the benefits and impacts of smart grid technology.

Research and development

Funding for the research and development of GridLAB-D has come from multiple sources, including the United States Department of Energy (US DOE) and the California Energy Commission (CEC).

United States Department of Energy

GridLAB-D was developed with funding from the US DOE Office of Electricity (OE) at Pacific Northwest National Laboratory (PNNL), in collaboration with industry and academia. It is available for Microsoft Windows, macOS and several Linux implementations and released through GitHub.[1]

Original work on GridLAB-D was started at PNNL in 2003 under a Laboratory Directed Research and Development project called PDSS.[2] Starting in 2008 GridLAB-D was made available to the public under a BSD-style open-source license with a US Government right-to-use clause.[3] US DOE has supported GridLAB-D through both direct funding and funding of projects that support enhancements to the simulation's capabilities.

California Energy Commission

In 2017 the CEC awarded several grants[4] to enhance GridLAB-D with the aim to support use in California regions operated by the investor-owned utility ratepayers. The enhancements focus on the California Public Utilities Commission's (CPUC) proceedings related to distributed and renewable energy resource integration, with particular attention to usability, scalability and interoperability. Hitachi America Laboratory (HAL) leads the GridLAB-D Open Workspace (GLOW)[5] project to develop a user-interface for GridLAB-D. SLAC National Accelerator Laboratory (SLAC) leads the High-Performance Agent-based Simulation (HiPAS)[6] project to enhance the performance of GridLAB-D. HiPAS GridLAB-D is released through GitHub.[7] SLAC also leads the Open Framework for Integrated Data Operations (OpenFIDO)[8] to support data exchange between GridLAB-D and other widely used power system data collection, modeling, and analytics tools.

Arras Energy

In 2022 LF Energy adopted HiPAS GridLAB-D as an open-source project under the name Arras Energy.[9]

See also

References

  1. ↑ "GridLAB-D Project". GitHub. Retrieved 2018-10-21.
  2. ↑ Ning Lu; Z.T. Taylor; D.P. Chassin; R. Guttromson; S. Studham (June 16, 2005). "Parallel computing environments and methods for power distribution system simulation - IEEE Conference Publication". arXiv:cs/0409035.
  3. ↑ "GridLAB-D License". January 2008.
  4. ↑ California Energy Commission. "Funding Solicitations for the Electric Program Investment Charge (EPIC) Program". www.energy.ca.gov. Retrieved 2018-10-21.
  5. ↑ California Energy Commission staff, "GLOW: A User-friendly Interface for GridLAB-D", Grant Request submitted to the Commission, 5/11/2018. URL: https://www.energy.ca.gov/business_meetings/2018_packets/2018-04-11/Item_13d_EPC-17-043.pdf
  6. ↑ California Energy Commission Staff, "HiPAS GridLAB-D: High-performance Agent-based Simulation using GridLAB-D", Grant Request submitted to the Commission, 5/11/2018. URL: https://www.energy.ca.gov/business_meetings/2018_packets/2018-05-09/Item_24c_EPC-17-046.pdf
  7. ↑ "HiPAS GridLAB-D Project". GitHub. Retrieved 2020-05-11.
  8. ↑ California Energy Commission Staff, "OpenFIDO: Open-source Framework for Integrated Data Operations", Grant Request submitted to the Commission, 5/11/2018. https://www.energy.ca.gov/business_meetings/2018_packets/2018-05-09/Item_24b_EPC-17-047.pdf
  9. ↑ "Arras Energy Project". GitHub. Retrieved 2023-05-07.
Notes
  • Guttromson, R.T.; Chassin, D.P.; Widergren, S.E. (2003). "Residential energy resource models for distribution feeder simulation". 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491). p. 108. doi:10.1109/PES.2003.1267145. ISBN 0-7803-7989-6.
  • Guttromson, R.T. (November 2002). "Modeling distributed energy resource dynamics on the transmission system". IEEE Transactions on Power Systems. 17 (4): 1148–1153. Bibcode:2002ITPSy..17.1148G. doi:10.1109/TPWRS.2002.804957. S2CID 29747785.
  • Widergren, S.E.; Roop, J.M.; Guttromson, R.T.; Huang, Z. (2004). "Simulating the dynamic coupling of market and physical system operations". IEEE Power Engineering Society General Meeting, 2004. Vol. 2. p. 748. doi:10.1109/PES.2004.1372914. ISBN 0-7803-8465-2.
  • Lu, N.; Chassin, D.P. (August 2004). "A State-Queueing Model of Thermostatically Controlled Appliances". IEEE Transactions on Power Systems. 19 (3): 1666–1673. Bibcode:2004ITPSy..19.1666L. doi:10.1109/TPWRS.2004.831700.
  • Ning Lu; Chassin, D.P. (2004). "A state queueing model of thermostatically controlled appliances". IEEE PES Power Systems Conference and Exposition, 2004. p. 88. doi:10.1109/PSCE.2004.1397437. ISBN 0-7803-8718-X.
  • Lu, N.; Chassin, D.P.; Widergren, S.E. (2004). "Simulating price responsive distributed resources". IEEE PES Power Systems Conference and Exposition, 2004. p. 659. doi:10.1109/PSCE.2004.1397533. ISBN 0-7803-8718-X.
  • Ning Lu; Taylor, Z.T.; Chassin, D.P.; Guttromson, R.; Studham, S. (2005). "Parallel computing environments and methods for power distribution system simulation". IEEE Power Engineering Society General Meeting, 2005. p. 203. arXiv:cs/0409035. doi:10.1109/PES.2005.1489110. ISBN 0-7803-9157-8.
  • Lu, N.; Chassin, D.P.; Widergren, S.E. (May 2005). "Modeling Uncertainties in Aggregated Thermostatically Controlled Loads Using a State Queueing Model". IEEE Transactions on Power Systems. 20 (2): 725–733. arXiv:nlin/0409038. Bibcode:2005ITPSy..20..725L. doi:10.1109/TPWRS.2005.846072. S2CID 19382578.
  • Ning Lu; Chassin, D.P.; Widergren, S.E. (2005). "Modeling uncertainties in aggregated thermostatically controlled loads using a state queueing model". IEEE Power Engineering Society General Meeting, 2005. p. 163. arXiv:nlin/0409038. doi:10.1109/PES.2005.1489100. ISBN 0-7803-9157-8.
  • Ning Lu; Taylor, Z.T.; Chassin, D.P.; Guttromson, R.; Studham, S. (2005). "Parallel computing environments and methods for power distribution system simulation". IEEE Power Engineering Society General Meeting, 2005. p. 203. arXiv:cs/0409035. doi:10.1109/PES.2005.1489110. ISBN 0-7803-9157-8.
  • Roop, J.M.; Fathelrahman, E.M.; Widergren, S.E. (2005). "Price response can make the grid robust: An agent-based discussion". IEEE Power Engineering Society General Meeting, 2005. p. 1100. doi:10.1109/PES.2005.1489307. ISBN 0-7803-9157-8.
  • Chassin, D.P.; Armstrong, P.R.; Chavarria-Miranda, D.G.; Guttromson, R.T. (2006). "Gauss-Seidel accelerated: Implementing flow solvers on field programmable gate arrays". 2006 IEEE Power Engineering Society General Meeting. pp. 5 pp. doi:10.1109/PES.2006.1709227. ISBN 1-4244-0493-2.
  • Nieplocha, J.; Marquez, A.; Tipparaju, V.; Chavarria-Miranda, D.; Guttromson, R.; Huang, H. (2006). "Towards efficient power system state estimators on shared memory computers". 2006 IEEE Power Engineering Society General Meeting. pp. 5 pp. doi:10.1109/PES.2006.1709382. ISBN 1-4244-0493-2.
  • Chassin, D. P.; Schneider, K.; Gerkensmeyer, C. (2008). "GridLAB-D: An open-source power systems modeling and simulation environment". 2008 IEEE/PES Transmission and Distribution Conference and Exposition. p. 1. doi:10.1109/TDC.2008.4517260. ISBN 978-1-4244-1903-6.
  • Schneider, K. P.; Chassin, D.; Chen, Y.; Fuller, J. C. (2009). "Distribution power flow for smart grid technologies". 2009 IEEE/PES Power Systems Conference and Exposition. p. 1. doi:10.1109/PSCE.2009.4840078. ISBN 978-1-4244-3810-5.
  • Byun, Jong-Ho; Ravindran, Arun; Mukherjee, Arindam; Joshi, Bharat; Chassin, David (2009). "Accelerating the Gauss-Seidel Power Flow Solver on a High Performance Reconfigurable Computer". 2009 17th IEEE Symposium on Field Programmable Custom Computing Machines. p. 227. doi:10.1109/FCCM.2009.23. ISBN 978-0-7695-3716-0.
  • Schneider, K. P.; Chen, Y.; Engle, D.; Chassin, D. (2009). "A Taxonomy of North American radial distribution feeders". 2009 IEEE Power & Energy Society General Meeting. p. 1. doi:10.1109/PES.2009.5275900. ISBN 978-1-4244-4241-6.
  • Chassin, D. P.; Widergren, S. E. (2009). "Simulating demand participation in market operations". 2009 IEEE Power & Energy Society General Meeting. p. 1. doi:10.1109/PES.2009.5275369. ISBN 978-1-4244-4241-6.
  • Schneider, K. P.; Chassin, D.; Chen, Y.; Fuller, J. C. (2009). "Distribution power flow for smart grid technologies". 2009 IEEE/PES Power Systems Conference and Exposition. p. 1. doi:10.1109/PSCE.2009.4840078. ISBN 978-1-4244-3810-5.
  • Aliprantis, Dionysios; Penick, Scott; Tesfatsion, Leigh; Huan Zhao (2010). "Integrated retail and wholesale power system operation with smart-grid functionality". IEEE PES General Meeting. p. 1. doi:10.1109/PES.2010.5589594. ISBN 978-1-4244-6549-1.
  • Pratt, R.G.; Fuller, J.C.; Secrest, T.J.; Tuffner, F.K. (2010). "Business Case for Scalable Demand Response". Pacific Northwest National Laboratory Report for NRECA.
  • Schneider, K.P., Fuller, J.C., Tuffner, F., Singh, R., Evaluation of Conservation Voltage Reduction on a National Level, Pacific Northwest National Laboratory report for the US Department of Energy, 2010
  • Schneider, K.P., Fuller, J.C., Tuffner, F., Singh, R., and Chen, Y, Evaluation of General Electric's Coordinated Volt VAR Control for American Electric Power, Pacific Northwest Laboratory report for American Electric Power, 2010.
  • Schneider, K P; Fuller, J C (2010). "Detailed end use load modeling for distribution system analysis". IEEE PES General Meeting. p. 1. doi:10.1109/PES.2010.5588151. ISBN 978-1-4244-6549-1.
  • Schneider, K. P.; Fuller, J. C. (2010). "Voltage control devices on the IEEE 8500 node test feeder". Ieee Pes T&d 2010. p. 1. doi:10.1109/TDC.2010.5484225. ISBN 978-1-4244-6546-0. S2CID 46565441.
  • Fuller, J.C., Temperature Dependent Control of Community Energy Storage Devices, Washington State University Libraries in fulfillment for MSEE, 2010.
  • Schneider, K.P., Fuller, J.C., Detailed Analysis of Distribution System Voltage Reduction, Proceedings of 2010 Distributech, 2010.
  • Schneider, Kevin P.; Fuller, Jason C.; Chassin, David P. (2011). "Multi-State Load Models for Distribution System Analysis". IEEE Transactions on Power Systems. 26 (4): 2425. Bibcode:2011ITPSy..26.2425S. doi:10.1109/TPWRS.2011.2132154. S2CID 37249409.
  • Schneider, K. P.; Fuller, J. C.; Chassin, D. (2011). "Evaluating conservation voltage reduction: An application of GridLAB-D: An open source software package". 2011 IEEE Power and Energy Society General Meeting. p. 1. doi:10.1109/PES.2011.6039467. ISBN 978-1-4577-1000-1.
  • Martinez, J. A.; Dinavahi, V.; Nehrir, M. H.; Guillaud, X. (2011). "Tools for Analysis and Design of Distributed Resources—Part IV: Future Trends". IEEE Transactions on Power Delivery. 26 (3): 1671. doi:10.1109/TPWRD.2011.2116047. S2CID 37485186.
  • Vuppala, Sunil K.; Padmanabh, Kumar; Sumit Kumar Bose; Paul, Sanjoy (2011). "Incorporating fairness within Demand response programs in smart grid". Isgt 2011. p. 1. doi:10.1109/ISGT.2011.5759138. ISBN 978-1-61284-218-9. S2CID 23046724.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.