4.6 Article Proceedings Paper

Co-simulation of electricity distribution networks and peer to peer energy trading platforms

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.ijepes.2019.105419

关键词

Distribution networks; Co-simulation; Peer-to-peer energy trading; Distributed ledger; Blockchain; Microgrids; Network planning; Prosumer; Energy decentralisation

资金

  1. Enterprise Ireland [TC-2013-0002B]
  2. Science Foundation Ireland (European Regional Development Fund) [SFI/12/RC/2289]
  3. Department of Communications, Climate Action and Environment of the Government of Ireland
  4. Department of Agriculture, Food and the Marine on behalf of the Government of Ireland [SFI 16/RC/3835]

向作者/读者索取更多资源

There has been significant recent interest in local electricity trading platforms, and particularly in the application of distributed ledger and blockchain technology for distributed, or peer-to-peer energy trading in local energy communities. Several projects worldwide have demonstrated this concept on a small scale in Low Voltage (LV) distribution networks and microgrids. However, previous work in this area has not sufficiently addressed the potential impacts of peer-to-peer energy trading and other local electricity trading mechanisms on the control, operation and planning of the electricity distribution networks. Accordingly, this paper presents a methodology for the co-simulation of power distribution networks and local peer-to-peer energy trading platforms. The distribution system simulator is interfaced with a peer-to-peer energy trading platform, which employs a blockchain-based distributed double auction trade mechanism. The presented co-simulation approach is demonstrated using a case study of typical European suburban distribution network. It is demonstrated in the paper that this approach can be used to analyse the impacts of peer-to-peer energy trading on network operational performance. The analysis presented in the paper suggests that a moderate level of peer-to-peer trading does not have significant impacts on network operational performance.

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