%0 Generic %1 Schneider2009 %A Schneider, K.P.a %A Chassin, D.a %A Chen, Y.a %A Fuller, J.C.b %C Seattle, WA %D 2009 %J 2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009 %K Gridlab-D %R 10.1109/PSCE.2009.4840078 %T Distribution power flow for smart grid technologies %U http://www.scopus.com/inward/record.url?eid=2-s2.0-70349171625&partnerID=40&md5=c64d22965c620f80ddba666ac3c32efb %X Smart Grid technologies hold the promise of being able to solve many of the problems currently facing in the electric power industry. However, the large scale deployment of these new technologies has been limited due to an inability to accurately model their effects or to quantify their potential benefits. GridLAB-D is a new open source power system modeling and simulation environment developed by the United States Department of Energy specifically to integrate detailed power systems and end-use models. In order to effectively model the vast array of possible smart grid technologies GridLAB-D was developed as a general simulation environment. This paper describes the basic design concept, the power flow solutions implemented, and a detailed example of the type of analysis that can be performed within the simulation environment in order to support the evaluation of smart grid technologies. Β©2009 IEEE. %@ 9781424438112

@conference{Schneider2009, abbrev_source_title = {IEEE/PES Power Syst. Conf. Expo., PSCE}, abstract = {Smart Grid technologies hold the promise of being able to solve many of the problems currently facing in the electric power industry. However, the large scale deployment of these new technologies has been limited due to an inability to accurately model their effects or to quantify their potential benefits. GridLAB-D is a new open source power system modeling and simulation environment developed by the United States Department of Energy specifically to integrate detailed power systems and end-use models. In order to effectively model the vast array of possible smart grid technologies GridLAB-D was developed as a general simulation environment. This paper describes the basic design concept, the power flow solutions implemented, and a detailed example of the type of analysis that can be performed within the simulation environment in order to support the evaluation of smart grid technologies. Β©2009 IEEE.}, added-at = {2012-04-28T15:26:36.000+0200}, address = {Seattle, WA}, affiliation = {Pacific Northwest National Laboratory, Richland, WA 99352, United States; Washington State University Tri-Cities, Richland, WA, United States}, art_number = {4840078}, author = {Schneider, K.P.a and Chassin, D.a and Chen, Y.a and Fuller, J.C.b}, author_keywords = {Current injection method; Distribution system analysis; Forward-backward sweep method; Gauss-Seidel; Power modeling; Power simulation; Smart grid}, biburl = {https://www.bibsonomy.org/bibtex/2b23437739bbfa4727d52d4a7201c04fa/adnasiak}, correspondence_address = {Schneider, K. P.; Pacific Northwest National Laboratory, Richland, WA 99352, United States; email: kevin.schneider@pnl.gov}, description = {Describes the basic design concept, the power flow solutions implemented and a detail example performed within the GridLAB-D environment. Good to read.}, document_type = {Conference Paper}, doi = {10.1109/PSCE.2009.4840078}, interhash = {3cf7ac84a93dda63608311de85e3786e}, intrahash = {b23437739bbfa4727d52d4a7201c04fa}, isbn = {9781424438112}, journal = {2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009}, keywords = {Gridlab-D}, language = {English}, note = {cited By (since 1996) 0; Conference of 2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009; Conference Date: 15 March 2009 through 18 March 2009; Conference Code: 76466}, references = {www.gridlabd.orgIEEE 1366: IEEE Guide for Electric Power Distribution Reliability Indices, , www.ieee.org, available online at; IEEE Radial Test Feeders, , www.ewh.ieee.org/soc/pes/dsacom/testfeeders.html, Available through the IEEE Distribution System Analysis Subcommittee; Chassin, D.P., Armstrong, P.R., Chavarria-Miranda, D.G., Guttromson, R.T., Gauss-Seidel accelerated: Implementing flow solvers on field programmable gate arrays (2006) IEEE PES GM; Kersting, W.H., (2007) Distribution System Modeling and Analysis, , 2nd ed, Boca Raton: CRC Press; Garcia, P.A.N., Pereira, J.L.R., Carneiro Jr., S., Da Costa, V.M., Martins, N., Three-Phase Power Flow Calculations using the Current Injection Method (2000) IEEE Transaction on Power Systems, 15 (4), pp. 508-514. , May; Justus, C.G., (1978) Winds and Wind System Performance, , Philadelphia, PA: Franklin Institute Press; Malinga, B., Sneckenberger, J.E., Feliachi, A., Modeling and Control of a Wind Turbine as a Distributed Resource (2003) Proc. 35 th Southeastern Symp. System Theory, pp. 108-112. , Atlanta, GA; TMY2weather data, , www.rredc.nrel.gov/solar/old-data/nsrdb/tmy2, available online at; www.netl.doe.gov/moderngrid}, source = {Scopus}, timestamp = {2012-04-28T15:42:28.000+0200}, title = {Distribution power flow for smart grid technologies}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70349171625&partnerID=40&md5=c64d22965c620f80ddba666ac3c32efb}, year = 2009 }