Hybrid trading scheme for peer-to-peer energy trading in transactive energy markets

To further implement decentralized renewable energy resources, blockchain based peer-to-peer (P2P) energy trading is gaining attention and its architecture has been proposed with virtual demonstrations. In this paper, to further socially implement this concept, a blockchain based peer to peer energy trading system which could coordinate with energy control hardware was constructed, and a demonstration experiment was conducted. Previous work focused on virtually matching energy supply and demand via blockchain P2P energy markets, and our work pushes this forward by demonstrating the possibility of actual energy flow control. In this demonstration, Plug-in Hybrid Electrical Vehicles(PHEVs) and Home Energy Management Systems(HEMS) actually used in daily life were controlled in coordination with the blockchain system. In construction, the need of a multi-tagged continuous market was found and proposed. In the demonstration experiment, the proposed blockchain market and hardware control interface was proven capable of securing and stably transmitting energy within the P2P energy system. Also, by the implementation of multi-tagged energy markets, the number of transactions required to secure the required amount of electricity was reduced.

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Blockchain for Peer-to-Peer Transactive Energy Trading in Networked Microgrids: Providing an Effective and Decentralized Strategy

IEEE Electrification Magazine ◽

10.1109/mele.2020.3026444 ◽

2020 ◽

Vol 8 (4) ◽

pp. 80-90

Author(s):

Mohammad Shahidehpour ◽

Mingyu Yan ◽

Pandey Shikhar ◽

Shay Bahramirad ◽

Aleksi Paaso

Keyword(s):

Peer To Peer ◽

Energy Trading ◽

Transactive Energy ◽

Networked Microgrids

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Distribution Network-Constrained Optimization of Peer-to-Peer Transactive Energy Trading among Multi-Microgrids

IEEE Transactions on Smart Grid ◽

10.1109/tsg.2020.3032889 ◽

2020 ◽

pp. 1-1

Author(s):

Mingyu Yan ◽

Mohammad Shahidehpour ◽

Aleksi Paaso ◽

Liuxi Zhang ◽

Ahmed Alabdulwahab ◽

...

Keyword(s):

Constrained Optimization ◽

Distribution Network ◽

Peer To Peer ◽

Energy Trading ◽

Transactive Energy

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Vertex scenario-based robust peer-to-peer transactive energy trading in distribution networks

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2021.107903 ◽

2022 ◽

Vol 138 ◽

pp. 107903

Author(s):

Xinyue Chang ◽

Yinliang Xu ◽

Hongbin Sun

Keyword(s):

Distribution Networks ◽

Peer To Peer ◽

Energy Trading ◽

Transactive Energy

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A novel communication efficient peer-to-peer energy trading scheme for enhanced privacy in microgrids

Applied Energy ◽

10.1016/j.apenergy.2021.117075 ◽

2021 ◽

Vol 296 ◽

pp. 117075

Author(s):

Khalid Umer ◽

Qi Huang ◽

Mohsen Khorasany ◽

Muhammad Afzal ◽

Waqas Amin

Keyword(s):

Peer To Peer ◽

Energy Trading ◽

Trading Scheme

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P2P, CSC and TE: A Survey on Hardware, Software and Data

Energies ◽

10.3390/en14133851 ◽

2021 ◽

Vol 14 (13) ◽

pp. 3851

Author(s):

Brian O’Regan ◽

Fabio Silva ◽

Eoin O’Leidhin ◽

Farah Tahir ◽

Karen Mould ◽

...

Keyword(s):

Energy Generation ◽

Peer To Peer ◽

Energy Trading ◽

Concise Overview ◽

External Sources ◽

Transactive Energy ◽

And Control ◽

Micro Grids

Peer-to-Peer (P2P), Transactive Energy (TE) and Community Self-Consumption (CSC) are exciting energy generation and use models, offering several opportunities for prosumers, micro-grids and services to the grid; however, they require numerous components to function efficiently. Various hardware devices are required to transmit data and control the generation and consumption equipment, whereas software is needed to use the gathered information to monitor and manage the hardware and energy trading. Data can be gathered from a variety of origins from within the grid and external sources; however, these data must be well-structured and consistent to be useful. This paper sets out to gather information regarding the hardware, software and data from the several archetypes available, focusing on existing projects and trials in these areas to see what the most-common hardware, software and data components are. The result presents a concise overview of the hardware, software and data-related topics and structures within the P2P, TE and CSC energy generation and use models.

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