%0 Generic %1 Kalsi20111959 %A Kalsi, K.and Elizondo, M. %A Fuller, J. %A Lu, S. %A Chassin, D. %C Maui, HI %D 2011 %J Proceedings of the Annual Hawaii International Conference on System Sciences %K Gridlab-D %P 1959-1966 %R 10.1109/HICSS.2012.212 %T Development and validation of aggregated models for Thermostatic Controlled Loads with demand response %U http://www.scopus.com/inward/record.url?eid=2-s2.0-84857945381&partnerID=40&md5=14df45920320fe005d80f21777e044e2 %X One of the salient features of the smart grid is the wide spread use of distributed energy resources (DERs) like small wind turbines, photovoltaic (PV) panels, energy storage (batteries, flywheels, etc), Plug-in Hybrid Electric Vehicles (PHEVs) and controllable end-use loads. The affect of these distributed resources on the distribution feeder and on transmission system operations needs to be understood. Due to the potentially large number of DERs that are expected to be deployed, it is impractical to use detailed models of these resources when integrated with the transmission system. This paper focuses on developing aggregated models for a population of Thermostatic Controlled Loads (TCLs) which are a class of controllable end-use loads. The developed reduced-order models are validated against simulations of thousands of detailed building models using an open source distribution simulation software (GridLAB-D) under both steady state and dynamic conditions (thermostat setback program as a simple form of demand response). © 2012 IEEE. %@ 9780769545257

@conference{Kalsi20111959, abbrev_source_title = {Proc. Annu. Hawaii Int. Conf. Syst. Sci.}, abstract = {One of the salient features of the smart grid is the wide spread use of distributed energy resources (DERs) like small wind turbines, photovoltaic (PV) panels, energy storage (batteries, flywheels, etc), Plug-in Hybrid Electric Vehicles (PHEVs) and controllable end-use loads. The affect of these distributed resources on the distribution feeder and on transmission system operations needs to be understood. Due to the potentially large number of DERs that are expected to be deployed, it is impractical to use detailed models of these resources when integrated with the transmission system. This paper focuses on developing aggregated models for a population of Thermostatic Controlled Loads (TCLs) which are a class of controllable end-use loads. The developed reduced-order models are validated against simulations of thousands of detailed building models using an open source distribution simulation software (GridLAB-D) under both steady state and dynamic conditions (thermostat setback program as a simple form of demand response). © 2012 IEEE.}, added-at = {2012-04-22T19:20:25.000+0200}, address = {Maui, HI}, affiliation = {Pacific Northwest National Laboratory, United States}, art_number = {6149125}, author = {{Kalsi, K.and Elizondo}, M. and Fuller, J. and Lu, S. and Chassin, D.}, biburl = {https://www.bibsonomy.org/bibtex/22c7bb9acec45724cbe6b908865351cdf/adnasiak}, correspondence_address = {Kalsi, K.; Pacific Northwest National LaboratoryUnited States; email: karanjit.kalsi@pnnl.gov}, document_type = {Conference Paper}, doi = {10.1109/HICSS.2012.212}, interhash = {d7465c50dd9029bf814ec7cc067fea9c}, intrahash = {2c7bb9acec45724cbe6b908865351cdf}, isbn = {9780769545257}, issn = {15301605}, journal = {Proceedings of the Annual Hawaii International Conference on System Sciences}, keywords = {Gridlab-D}, language = {English}, note = {cited By (since 1996) 0; Conference of 2012 45th Hawaii International Conference on System Sciences, HICSS 2012; Conference Date: 4 January 2012 through 7 January 2012; Conference Code: 88881}, pages = {1959-1966}, references = {Bellarmine, G.T., Load management techniques (2000) Proc. 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Olympic Peninsula Project, , http://gridwise.pnl.gov/docs/op_project_final_report_pnnl17167.pdf; Faruqui, A., Sergici, S., Household response to dynamic pricing of electricity: A survey of the experimental evidence (2009) SSRN Report No. 1134132, Social Science Research Network, , http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1134132, January 10; GridLab-D Residential Module Guide, , http://sourceforge.net/apps/mediawiki/gridlabd/index.php?title= Residential_Module_Guide, [Online]; Ihara, S., Schweppe, F.C., Physically based modeling of cold load pickup (1981) IEEE Transactions on Power Apparatus and Systems, 100 (9), pp. 4142-4150. , Sept; Chong, C.Y., Debs, A.S., Statistical synthesis of power system functional load models (1979) Proc. of the 18th IEEE Conference on Decision and Control, pp. 264-269. , Dec; Malhame, R., Chong, C.Y., Electric load model synthesis by diffusion approximation of a high-order hybrid-state stochastic system (1985) IEEE Transactions on Automatic Control, 30 (9), pp. 854-860. , Sept; Callaway, D.S., Tapping the energy storage potential in electric loads to deliver load following and regulation with application to wind energy (2009) Energy Conversion and Management, 50 (5), pp. 1389-1400. , May; Banash, S., Fathy, H., Modeling and control insights into demand-side energy management through setpoint control of thermostatic loads (2011) American Control Conference, , June; Callaway, D.S., Hiskens, I., Achieving controllability of electric loads (2011) Proc. of the IEEE, 99 (1), pp. 184-199. , Jan; Kalsi, K., Chassin, F., Chassin, D., Aggregated modeling of thermostatic loads in demand response: A systems and control perspective (2011) 50th IEEE Conference on Decision and Control, , accepted to the, Dec; Sonderegger, R., Dynamic Models of House Heating Based on Equivalent Thermal Parameters, , Report PU/CES 57, Doctoral Dissertation 1978, Princeton University, Princeton, New Jersey; Subbarao, K., (1981) Thermal Parameters for Single and Multizone Buildings and Their Determination from Performance Data, , Solar Energy Research Institute, Golden, Colorado; Wilson, N.W., Wagner, B.S., Colborne, W.G., Equivalent thermal parameters for an occupied gas-heated house (1985) ASHRAE Transactions, 91 (PART.2); Schneider, K.P., Fuller, J.C., Chassin, D.P., Multi-state load models for distribution system analysis (2011) IEEE Transactions on Power Systems, , to be published, May}, source = {Scopus}, sponsors = {Shidler College of Business; University of Hawai'i at Manoa}, timestamp = {2012-04-23T09:59:24.000+0200}, title = {Development and validation of aggregated models for Thermostatic Controlled Loads with demand response}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84857945381&partnerID=40&md5=14df45920320fe005d80f21777e044e2}, year = 2011 }