P2P energy trading via public power networks: Practical challenges, emerging solutions, and the way forward
Received date: 28 Nov 2022
Accepted date: 22 Feb 2023
Published date: 15 Apr 2023
Copyright
Peer-to-peer (P2P) energy trading is an emerging energy supply paradigm where customers with distributed energy resources (DERs) are allowed to directly trade and share electricity with each other. P2P energy trading can facilitate local power and energy balance, thus being a potential way to manage the rapidly increasing number of DERs in net zero transition. It is of great importance to explore P2P energy trading via public power networks, to which most DERs are connected. Despite the extensive research on P2P energy trading, there has been little large-scale commercial deployment in practice across the world. In this paper, the practical challenges of conducting P2P energy trading via public power networks are identified and presented, based on the analysis of a practical Local Virtual Private Networks (LVPNs) case in North Wales, UK. The ongoing efforts and emerging solutions to tackling the challenges are then summarized and critically reviewed. Finally, the way forward for facilitating P2P energy trading via public power networks is proposed.
Yue ZHOU , Jianzhong WU , Wei GAN . P2P energy trading via public power networks: Practical challenges, emerging solutions, and the way forward[J]. Frontiers in Energy, 2023 , 17(2) : 189 -197 . DOI: 10.1007/s11708-023-0873-9
1 |
Zhang C, Wu J, Zhou Y.
|
2 |
Zhou Y, Wu J, Long C. Evaluation of peer-to-peer energy sharing mechanisms based on a multiagent simulation framework. Applied Energy, 2018, 222: 993–1022
|
3 |
Morstyn T, Farrell N, Darby S J.
|
4 |
Zhou Y, Wu J, Long C.
|
5 |
Cheng L F, Chen Y, Liu G Y. 2PnS-EG: A general two-population n-strategy evolutionary game for strategic long-term bidding in a deregulated market under different market clearing mechanisms. International Journal of Electrical Power & Energy Systems, 2022, 142(Part A): 108182
|
6 |
Chen Y, Wei W, Liu F.
|
7 |
Cheng L F, Yu T. A new generation of AI: A review and perspective on machine learning technologies applied to smart energy and electric power systems. International Journal of Energy Research, 2019, 43(6): 1928–1973
|
8 |
Cheng L F, Yu T. Smart dispatching for energy internet with complex cyber-physical-social systems: A parallel dispatch perspective. International Journal of Energy Research, 2019, 43(8): 3080–3133
|
9 |
YanJYuenC SahaT K,
|
10 |
Ofgem
|
11 |
PaceALord JEdwardsT,
|
12 |
Ofgem
|
13 |
Ofgem
|
14 |
PaceALord JEdwardsT,
|
15 |
Scottish & Southern Electricity Networks. How are DUoS charges calculated?—Overview. 2021-01-07, available at the website of Scottish & Southern Electricity Networks
|
16 |
Ofgem
|
17 |
Nepal R, Foster J. Electricity networks privatization in Australia: An overview of the debate. Economic Analysis and Policy, 2015, 48: 12–24
|
18 |
Castaneda M, Jimenez M, Zapata S.
|
19 |
Ofgem
|
20 |
Ofgem
|
21 |
Ofgem
|
22 |
Ofgem
|
23 |
EnergyNetworks Association (ENA). Open networks. 2022-09-08, available at the website of ENA
|
24 |
Tushar W, Saha T K, Yuen C.
|
25 |
Guerrero J, Chapman A C, Verbič G. Decentralized P2P energy trading under network constraints in a low-voltage network. IEEE Transactions on Smart Grid, 2019, 10(5): 5163–5173
|
26 |
Tushar W, Saha T K, Yuen C.
|
27 |
Khorasany M, Mishra Y, Ledwich G. A decentralized bilateral energy trading system for peer-to-peer electricity markets. IEEE Transactions on Industrial Electronics, 2020, 67(6): 4646–4657
|
28 |
Liu H, Li J, Ge S.
|
29 |
Paudel A, Khorasany M, Gooi H B. Decentralized local energy trading in microgrids with voltage management. IEEE Transactions on Industrial Informatics, 2021, 17(2): 1111–1121
|
30 |
Yan M, Shahidehpour M, Paaso A.
|
31 |
Nikolaidis A I, Charalambous C A, Mancarella P. A graph-based loss allocation framework for transactive energy markets in unbalanced radial distribution networks. IEEE Transactions on Power Systems, 2019, 34(5): 4109–4118
|
32 |
Bhand I, Debbarma S. Transaction-tracing based loss allocation in distribution networks under TE system. IEEE Systems Journal, 2021, 15(4): 5664–5673
|
33 |
Nunna H K, Sesetti A, Rathore A K.
|
34 |
Vega-Fuentes E, Yang J, Lou C.
|
35 |
Jogunola O, Wang W, Adebisi B. Prosumers matching and least-cost energy path optimization for peer-to-peer energy trading. IEEE Access: Practical Innovations, Open Solutions, 2020, 8: 95266–95277
|
36 |
Azizi A, Aminifar F, Moeini-Aghtaie M.
|
37 |
Wang S, Taha A F, Wang J.
|
38 |
Morstyn T, Teytelboym A, Hepburn C.
|
39 |
Zhang K, Troitzsch S, Hanif S.
|
40 |
Kim J, Dvorkin Y A. P2P-dominant distribution system architecture. IEEE Transactions on Power Systems, 2020, 35(4): 2716–2725
|
41 |
Paudel A, Sampath L P M I, Yang J.
|
42 |
Baroche T, Pinson P, Latimier R L.
|
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