Smart Consumers, Smart Controls, Smart Grid

The grid has three components: demand, transmission/distribution and generation, with the latter being mainly dispatchable, conventional power generation. A future grid based on renewable energy sources will impose serious challenges due to the variable nature of resources (wind, solar). In the transition from the current grid based on fossil and nuclear energy to a more sustainable one, based on renewable energy sources and components such as storage and with possible active participation by consumers, controls will play an important role, providing essential infrastructure for end users and system managers to monitor and control their energy usage. The uncertainty in the supply due to the integration of wind and solar energy will require intelligent control and with possible ways for shifting demand. The paper will discuss challenges, issues and advantages of demand reduction and demand shifting within a future smart grid with some illustrative examples.

[1]  G. Strbac,et al.  Framework for the incorporation of demand-side in a competitive electricity market , 1996 .

[2]  M. Barrett,et al.  A Renewable Electricity System for the UK , 2007 .

[3]  Catalina Spataru,et al.  Dynamic Simulation of Energy System , 2012 .

[4]  Jose Medina,et al.  Demand Response and Distribution Grid Operations: Opportunities and Challenges , 2010, IEEE Transactions on Smart Grid.

[5]  Y. Z. Li,et al.  Consumer rationality assumptions in the real-time pricing of electricity , 1991 .

[6]  Qiuwei Wu,et al.  Reliability Enhancement and Nodal Price Volatility Reduction of Restructured Power Systems with Stochastic Demand Side Load Shift , 2007, 2007 IEEE Power Engineering Society General Meeting.

[7]  K. Steemers,et al.  A method of formulating energy load profile for domestic buildings in the UK , 2005 .

[8]  Toshiyuki Sueyoshi,et al.  An agent-based decision support system for wholesale electricity market , 2008, Decis. Support Syst..

[9]  Housing Lin Household Projections to 2031, England , 2009 .

[10]  David Infield,et al.  Domestic electricity use: A high-resolution energy demand model , 2010 .

[11]  Jukka Paatero,et al.  A model for generating household electricity load profiles , 2006 .

[12]  L. Goel,et al.  Demand Side Load Management of Smart Grids using intelligent trading/Metering/ Billing System , 2010, IEEE PES General Meeting.

[13]  David J. C. MacKay Sustainable Energy - Without the Hot Air , 2008 .

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

[15]  Joe H. Chow,et al.  Agent-based simulation of electricity markets: a survey of tools , 2007, Artificial Intelligence Review.

[16]  C. F. Walker,et al.  Residential Load Shape Modelling Based on Customer Behavior , 1985, IEEE Transactions on Power Apparatus and Systems.

[17]  Darren Robinson,et al.  A generalised stochastic model for the simulation of occupant presence , 2008 .

[18]  Mark Gillott,et al.  Domestic energy and occupancy: a novel post-occupancy evaluation study , 2010 .

[19]  Farrokh Albuyeh,et al.  Grid of the future , 2009, IEEE Power and Energy Magazine.