Parameter identification of thermal models for domestic electric water heaters in a direct load control program

This paper investigates an approach for identification of physical models of domestic electric water heaters (DEWH's) that are used to provide aggregated regulation services. The model is used within a direct load control (DLC) algorithm to estimate and forecast the water usage and temperature of individual water heaters. Individual physical models are used instead of aggregated models to allow the DLC algorithm to minimize the impact on customers by customizing the control of each water heater to individual water usage patterns. A single-zone lumped-parameter thermal model was considered for a single element DEWH. Two scenarios are investigated: i) when measurements of water temperature and heater power consumption are available, and ii) when measurements of only heater power consumption are available. The problem is challenging because water usage patterns cannot be measured directly and are governed by the behaviour of individual customers.

[1]  I. E. Lane,et al.  The multi-objective controller: a novel approach to domestic hot water load control , 1996 .

[2]  Yann-Chang Huang,et al.  Integrating direct load control with interruptible load management to provide instantaneous reserves for ancillary services , 2004 .

[3]  Michel Verhaegen,et al.  Filtering and System Identification: Frontmatter , 2007 .

[4]  Roland P. Malhamé,et al.  A physically-based computer model of aggregate electric water heating loads , 1994 .

[5]  Kun-Yuan Huang,et al.  Integrating direct load control with interruptible load management to provide instantaneous reserves for ancillary services , 2004, IEEE Transactions on Power Systems.

[6]  I. E. Lane,et al.  A model of the domestic hot water load , 1996 .

[7]  B. HASTINGS,et al.  Ten Years of Operating Experience with a Remote Controlled Water Heater Load Management System at Detroit Edison , 1980, IEEE Transactions on Power Apparatus and Systems.

[8]  Hanne Sæle,et al.  Demand Response From Household Customers: Experiences From a Pilot Study in Norway , 2011, IEEE Transactions on Smart Grid.

[9]  Liuchen Chang,et al.  A novel domestic electric water heater model for a multi-objective demand side management program , 2010 .

[10]  Khosrow Moslehi,et al.  A Reliability Perspective of the Smart Grid , 2010, IEEE Transactions on Smart Grid.

[11]  V. Gerez,et al.  Development of a Monte Carlo based aggregate model for residential electric water heater loads , 1996 .

[12]  James R. Stitt,et al.  Implementation of a Large-Scale Direct Load Control System-Some Critical Factors , 1985, IEEE Transactions on Power Apparatus and Systems.

[13]  M.H. Nehrir,et al.  Power Management of Aggregate Electric Water Heater Loads by Voltage Control , 2007, 2007 IEEE Power Engineering Society General Meeting.

[14]  Liam Paull,et al.  Awater heater model for increased power system efficiency , 2009, 2009 Canadian Conference on Electrical and Computer Engineering.

[15]  Liuchen Chang,et al.  A centralized fuzzy controller for aggregated control of domestic water heaters , 2009, 2009 Canadian Conference on Electrical and Computer Engineering.

[16]  J. Adnot,et al.  Improvement of methods for reconstructing water heating aggregated load curves and evaluating demand-side control benefits , 1999 .

[17]  Hau-Ren Lu,et al.  A Two-Way Direct Control of Central Air-Conditioning Load Via the Internet , 2009, IEEE Transactions on Power Delivery.

[18]  Leandros Tassiulas,et al.  Challenges in demand load control for the smart grid , 2011, IEEE Network.

[19]  M. W. Gustafson,et al.  Direct water heater load control-estimating program effectiveness using an engineering model , 1993 .

[20]  M.H. Nehrir,et al.  Voltage Control of Aggregate Electric Water Heater Load for Distribution System Peak Load Shaving Using Field Data , 2007, 2007 39th North American Power Symposium.