Finding Fair Negotiation Algorithms to Reduce Peak Electricity Consumption in Micro Grids

Reducing peak electricity consumption is important to maximise use of renewable energy sources, and reduce the total amount of capacity required on a grid. Most approaches use a centralised optimisation algorithm run by a utility company. Here we develop a decentralised approach, where agents represent the interests of a household, and negotiate over when to run various appliances. We have developed an experimental framework that allows users’ perceived fairness of different negotiation algorithms to be evaluated.

[1]  E. Fehr A Theory of Fairness, Competition and Cooperation , 1998 .

[2]  Saifur Rahman,et al.  An approach for demand response to alleviate power system stress conditions , 2011, 2011 IEEE Power and Energy Society General Meeting.

[3]  Tineke van der Schoor,et al.  Power to the people: Local community initiatives and the transition to sustainable energy , 2015 .

[4]  Dídac Busquets,et al.  Self-Organising Common-Pool Resource Allocation and Canons of Distributive Justice , 2012, 2012 IEEE Sixth International Conference on Self-Adaptive and Self-Organizing Systems.

[5]  Dídac Busquets,et al.  Self Organising Flexible Demand for Smart Grid , 2013, 2013 IEEE 7th International Conference on Self-Adaptation and Self-Organizing Systems Workshops.