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

Powers, Simon T.; Meanwell, Oscar; Cai, Zuansi

Authors

Oscar Meanwell



Abstract

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.

Presentation Conference Type Conference Paper (Published)
Conference Name 17th International Conference on Practical Applications of Agents and Multi-Agent Systems
Start Date Jun 26, 2019
End Date Jun 28, 2019
Acceptance Date Mar 11, 2019
Online Publication Date Jun 26, 2019
Publication Date Jun 26, 2019
Deposit Date Apr 26, 2019
Publicly Available Date Jun 27, 2020
Publisher Springer
Pages 269-272
Series Title Lecture Notes in Computer Science
Series Number 11523
Series ISSN 0302-9743
Book Title PAAMS 2019: Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection
ISBN 978-3-030-24208-4
DOI https://doi.org/10.1007/978-3-030-24209-1_28
Keywords smart grid; resource allocation; load balancing
Public URL http://researchrepository.napier.ac.uk/Output/1753972
Contract Date Apr 26, 2019

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