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

Author(s):  
Xinyue Chang ◽  
Yinliang Xu ◽  
Hongbin Sun
Author(s):  
Haotian Yao ◽  
Yue Xiang ◽  
Shuai Hu ◽  
Gang Wu ◽  
Junyong Liu

2020 ◽  
Vol 8 (4) ◽  
pp. 80-90
Author(s):  
Mohammad Shahidehpour ◽  
Mingyu Yan ◽  
Pandey Shikhar ◽  
Shay Bahramirad ◽  
Aleksi Paaso

2020 ◽  
pp. 1-1
Author(s):  
Mingyu Yan ◽  
Mohammad Shahidehpour ◽  
Aleksi Paaso ◽  
Liuxi Zhang ◽  
Ahmed Alabdulwahab ◽  
...  

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3851
Author(s):  
Brian O’Regan ◽  
Fabio Silva ◽  
Eoin O’Leidhin ◽  
Farah Tahir ◽  
Karen Mould ◽  
...  

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.


2018 ◽  
Vol 33 (6) ◽  
pp. 7215-7227 ◽  
Author(s):  
Jiayong Li ◽  
Chaorui Zhang ◽  
Zhao Xu ◽  
Jianhui Wang ◽  
Jian Zhao ◽  
...  

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3312 ◽  
Author(s):  
Ning Wang ◽  
Weisheng Xu ◽  
Zhiyu Xu ◽  
Weihui Shao

Networked microgrids are emerging for coordinating distributed energy resources in distribution networks in the future Energy Internet, for which developing an efficient energy market model is crucial for facilitating multi-directional trading among microgrids. In this paper, a peer-to-peer energy trading mechanism is presented using non-cooperative bidding among microgrids. Multidimensional willingness, including time pressure and counter behavior for mimicking the personalized behaviors of microgrids, was taken into account in the design of the bidding strategy. Under a parallel trading framework based on a blockchain, the proposed multidimensional willingness bidding strategy turns out to be able to make rational decisions with sufficient flexibility in the bidding process. The simulation results of a realistic case of microgrids from Guizhou Province, China, validate that the proposed peer-to-peer energy trading mechanism is capable of raising the microgrids’ profits and renewable energy source utilization.


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