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

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

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.

Citation

Powers, S. T., Meanwell, O., & Cai, Z. (2019, June). Finding Fair Negotiation Algorithms to Reduce Peak Electricity Consumption in Micro Grids. Presented at 17th International Conference on Practical Applications of Agents and Multi-Agent Systems, Avila, Spain

• 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