The conception of the aggregator in demand side management for domestic consumers

In the demand side management (DSM) the aggregator is appearing as a key player in managing the demand during the peak hours by acting as an energy manager between the utility and the consumer. In this work, an emerging concept of the energy service provider as a business entity for domestic consumers is discussed and focuses on the interactional issues between the utility, the aggregator and the consumers. The paper also discusses the role of communication in the interaction among the three players.

[1]  Jianfeng Ma,et al.  An Empirical Study of Communication Infrastructures Towards the Smart Grid: Design, Implementation, and Evaluation , 2013, IEEE Transactions on Smart Grid.

[2]  Nei Kato,et al.  A Lightweight Message Authentication Scheme for Smart Grid Communications , 2011, IEEE Transactions on Smart Grid.

[3]  Vincent W. S. Wong,et al.  Advanced Demand Side Management for the Future Smart Grid Using Mechanism Design , 2012, IEEE Transactions on Smart Grid.

[4]  Wenpeng Luan,et al.  Smart grid communication network capacity planning for power utilities , 2010, IEEE PES T&D 2010.

[5]  Susanto Rahardja,et al.  Optimal real-time price based on a statistical demand elasticity model of electricity , 2011, 2011 IEEE First International Workshop on Smart Grid Modeling and Simulation (SGMS).

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

[7]  Jiming Chen,et al.  Sensing-delay tradeoff for communication in cognitive radio enabled smart grid , 2011, 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[8]  Mohammed H. Albadi,et al.  A summary of demand response in electricity markets , 2008 .

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

[10]  Nei Kato,et al.  Toward secure targeted broadcast in smart grid , 2012, IEEE Commun. Mag..

[11]  Muhammad Babar,et al.  Multi-advantage and Security Based Home Automation System , 2010, 2010 Fourth UKSim European Symposium on Computer Modeling and Simulation.

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

[13]  A. van Berlo,et al.  Ethics in domotics , 2005 .

[14]  S. Kennedy,et al.  A new wholesale bidding mechanism for enhanced demand response in smart grids , 2010, 2010 Innovative Smart Grid Technologies (ISGT).

[15]  J. Torriti,et al.  Demand response experience in Europe: Policies, programmes and implementation , 2010 .

[16]  Karen Herter Residential implementation of critical-peak pricing of electricity , 2007 .