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

被引:109
作者
Hayes, B. P. [1 ]
Thakur, S. [2 ,3 ]
Breslin, J. G. [2 ,3 ]
机构
[1] Univ Coll Cork, Dept Elect & Elect Engn, 60 Coll Rd, Cork, Ireland
[2] Natl Univ Ireland Galway, Data Sci Inst, IDA Business Pk, Galway, Ireland
[3] Natl Univ Ireland Galway, Discipline Elect & Elect Engn, Univ Rd, Galway, Ireland
基金
爱尔兰科学基金会;
关键词
Distribution networks; Co-simulation; Peer-to-peer energy trading; Distributed ledger; Blockchain; Microgrids; Network planning; Prosumer; Energy decentralisation; BLOCKCHAIN TECHNOLOGY; DEMAND; MANAGEMENT; FRAMEWORK; DESIGN;
D O I
10.1016/j.ijepes.2019.105419
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页数:10
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