Manara - Qatar Research Repository
Browse

A Combinatorial Double Auction for Community Shared Distributed Energy Resources

Download (1.43 MB)
journal contribution
submitted on 2024-02-12, 08:54 and posted on 2024-02-12, 08:54 authored by Khaled Abedrabboh, Anas Karaki, Luluwah Al-Fagih

The integration of distributed energy resources (DERs), such as renewable energy (RE) and energy storage systems, can have many environmental and economic benefits. The sharing of medium-scale DERs can enhance these benefits by ensuring efficient resource utilisation and can promote sharing economy and economies of scale opportunities. In this paper, we design a combinatorial double auction (CDA) for DER sharing between multiple DER providers and a community of consumers. The proposed DER market addresses the complementarity of DER services and supports the environmentally sustainable behaviour of consumers. The purpose of the proposed auction is to allocate the limited DER resources efficiently without compromising the privacy or the comfort of consumers. First, the combinatorial bidding rules are designed and the social welfare optimisation problem is formulated. Then, utility maximising strategies for consumers with both economic and environmental objectives are proposed. Additionally, three types of DER providers are introduced, and their revenue maximising strategies are investigated. A case study with real world RE generation and demand data from the UK is presented. Simulation results show that the proposed CDA can greatly reduce energy emissions (by 24%) while also enhancing the revenues of DER providers, with gains up to 82%, when compared with the case where DER energy is sold through a k -double auction.

Other Information

Published in: IEEE Access
License: http://creativecommons.org/licenses/by/4.0
See article on publisher's website: https://dx.doi.org/10.1109/access.2023.3260022

Funding

Open Access funding provided by the Qatar National Library.

History

Language

  • English

Publisher

IEEE

Publication Year

  • 2023

License statement

This Item is licensed under the Creative Commons Attribution 4.0 International License

Institution affiliated with

  • Hamad Bin Khalifa University
  • College of Science and Engineering - HBKU