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

2020 ◽  
pp. 1-1
Author(s):  
Mingyu Yan ◽  
Mohammad Shahidehpour ◽  
Aleksi Paaso ◽  
Liuxi Zhang ◽  
Ahmed Alabdulwahab ◽  
...  
2020 ◽  
Vol 8 (4) ◽  
pp. 80-90
Author(s):  
Mohammad Shahidehpour ◽  
Mingyu Yan ◽  
Pandey Shikhar ◽  
Shay Bahramirad ◽  
Aleksi Paaso

2021 ◽  
Vol 9 ◽  
Author(s):  
Boshen Zheng ◽  
Yue Fan ◽  
Wei Wei ◽  
Yourui Xu ◽  
Shaowei Huang ◽  
...  

The technology advancement and cost decline of renewable and sustainable energy increase the penetration of distributed energy resources (DERs) in distribution systems. Transactive energy helps balance the local generation and demand. Peer-to-peer (P2P) energy trading is a promising business model for transactive energy. Such a market scheme can increase the revenue of DER owners and reduce the waste of renewable energy. This article proposes an equilibrium model of a P2P transactive energy market. Every participant seeks the maximum personal interest, with the options of importing or providing energy from/to any other peer across different buses of the distribution network. The market equilibrium condition is obtained by combining the Karush–Kuhn–Tucker conditions of all problems of individual participants together. The energy transaction price is endogenously determined from the market equilibrium condition, which is cast as a mixed-integer linear program and solved by a commercial solver. The transactive energy flow is further embedded in the optimal power flow problem to ensure operating constraints of the distribution network. We propose a remedy to recover a near optimal solution when the second-order cone relaxation is inexact. Finally, a case study demonstrates that the proposed P2P market benefits all participants.


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.


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