Research Output

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.

  • Date:

    26 June 2019

  • Publication Status:

    Published

  • DOI:

    10.1007/978-3-030-24209-1_28

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    004 Data processing & computer science

  • Funders:

    Edinburgh Napier Funded

Citation

Powers, S. T., Meanwell, O., & Cai, Z. (2019). Finding Fair Negotiation Algorithms to Reduce Peak Electricity Consumption in Micro Grids. In PAAMS 2019: Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection, 269-272. https://doi.org/10.1007/978-3-030-24209-1_28

Authors

Keywords

smart grid; resource allocation; load balancing

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