Novel algorithm for aggregated demand response strategy for smart distribution network

Advancement in demand side management strategies enables smart grid to cope with the ever increasing energy demand and provide economic benefit to all of it's stakeholders. Moreover, emerging concept of smart pricing and advances in load control can provide new business opportunities for demand side management service provider or aggregator. The aggregator act as a third party between the electricity supply system and the consumers, and facilitate consumers to actively participate in Demand Side Management (DSM) by bidding price against power reduction with some constraints. This work develops a novel algorithm for aggregated demand response for smart distribution network. Simulations are carried out which identify the demand reduction bids and consumer constraints. The simulation results of the proposed algorithm demonstrate the potential impact of an aggregated demand response on the power system.

[1]  A. M. Breipohl,et al.  Operational Cost Savings of Direct Load Control , 1984, IEEE Power Engineering Review.

[2]  Muhammad Babar,et al.  An algorithm for load curtailment in aggregated demand response program , 2012 .

[3]  Wen-Chen Chu,et al.  Scheduling of direct load control to minimize load reduction for a utility suffering from generation shortage , 1993 .

[4]  D. Brandt,et al.  A linear programming model for reducing system peak through customer load control programs , 1996 .

[5]  Thillainathan Logenthiran,et al.  Demand Side Management in Smart Grid Using Heuristic Optimization , 2012, IEEE Transactions on Smart Grid.

[6]  Walid G. Morsi,et al.  A novel demand side management program using water heaters and particle swarm optimization , 2010, 2010 IEEE Electrical Power & Energy Conference.

[7]  Duncan S. Callaway Can smaller loads be profitably engaged in power system services? , 2011, 2011 IEEE Power and Energy Society General Meeting.

[8]  Liuchen Chang,et al.  Aggregated domestic electric water heater control - building on smart grid infrastructure , 2012, Proceedings of The 7th International Power Electronics and Motion Control Conference.

[9]  R. Bhatnagar,et al.  On-line control dispatch at Florida Power & Light , 1988 .

[10]  Peng Wang,et al.  A Framework to Implement Supply and Demand Side Contingency Management in Reliability Assessment of Restructured Power Systems , 2007, IEEE Transactions on Power Systems.

[11]  K. Le,et al.  A Procedure for Coordinating Direct-Load-Control Strategies to Minimize System Production Costs , 1983, IEEE Transactions on Power Apparatus and Systems.

[12]  B. J. Kirby,et al.  Spinning Reserve From Responsive Loads , 2003 .

[13]  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.

[14]  S. Rahman,et al.  Dispatch of Direct Load Control for Fuel Cost Minimization , 1986, IEEE Transactions on Power Systems.

[15]  S.M. Amin For the Good of the Grid , 2008, IEEE Power and Energy Magazine.

[16]  S C Lee,et al.  Demand Side Management With Air Conditioner Loads Based on the Queuing System Model , 2011, IEEE Transactions on Power Systems.

[17]  A. I. Cohen,et al.  An optimization method for load management scheduling , 1988 .

[18]  C. Wilkins,et al.  A Practical Approach to Appliance Load Control Analysis: A Water Heater Case Study , 1983, IEEE Transactions on Power Apparatus and Systems.

[19]  Goran Strbac,et al.  Assessing the competitiveness of demand-side bidding , 1999 .

[20]  Abbe E. Forman,et al.  Smart Grid , 2013, Int. J. E Politics.