A centralized fuzzy controller for aggregated control of domestic water heaters

Utilizing aggregated electric loads as system resources has several benefits. It can provide ancillary services for power systems. At the same time, it can provide demand management for electricity customers. It is necessary to develop integrated control strategies for aggregated electric loads. Most domesticwater heaters (DWHs) are electric and they consume much power especially in winter. DWHs represent a substantial share of the residential electricity consumption. Due to the energy storage capability of DWHs they are the best candidates for load control strategies. In this paper, we propose a novel centralized fuzzy controller for peak shaving of the power demand profiles. The proposed centralized controller does not sacrifice customers' convenience level. Simulation results show that the proposed centralized control strategy is effective in shaving the aggregated DWHs load demands while filling valleys of the aggregated load profile.

[1]  Racine Tadeu Araújo Prado,et al.  Assessment of energy efficiency in electric storage water heaters , 2008 .

[2]  I. E. Lane,et al.  A load model to support demand management decisions on domestic storage water heater control strategy , 1996 .

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

[4]  W. Rosehart,et al.  A survey of load control programs for price and system stability , 2005, IEEE Transactions on Power Systems.

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

[6]  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.

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

[8]  Ian Paul Knight,et al.  Residential Cogeneration Systems: European and Canadian Residential Non-HVAC Electric and DHW Load Profiles For Use in Simulating the Performance of Residential Cogeneration Systems , 2007 .

[9]  Brock J. LaMeres,et al.  A multiple-block fuzzy logic-based electric water heater demand-side management strategy for leveling distribution feeder demand profile , 2000 .

[10]  Brock J. LaMeres,et al.  Controlling the average residential electric water heater power demand using fuzzy logic , 1999 .

[11]  Ugur Atikol,et al.  Performance improvement by using dual heaters in a storage-type domestic electric water-heater , 2005 .

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