Smart meter data based penalty mechanism for peer-to-peer transaction deviation in electricity distribution market
Yang, Jiajia, Wang, Yuxuan, Chen, Qixin, Dong, Zhaoyang, and Fushuan, Wen (2020) Smart meter data based penalty mechanism for peer-to-peer transaction deviation in electricity distribution market. Automation of Electric Power Systems, 44 (18). pp. 64-73.
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Abstract
With the rapid development of distributed generation (DG), in order to enhance the accommodation capability for DG in distribution system, the establishment of corresponding electricity distribution market mechanism, especially the peer-to-peer (P2P) distributed electricity transaction method, has become a hot topic in both the industry and academia in recent years. Firstly, a survey of existing P2P transaction mechanisms in electricity distribution markets is carried out. Considering the poor controllability of DG power output caused by its uncertainty and intermittency, there is a problem of how to ensure the accurate execution of transaction outcomes in the electricity distribution market. Secondly, this paper proposes a penalty method for P2P transaction deviation in electricity distribution market using smart meter data. This method restricts the variation range of the maximum deviated power, accumulated deviated mileage, and accumulated deviated energy of real-time electricity load and generation power. Under the proposed penalty mechanism, the real-time deviation of load power and generation power can be controlled within the expected range by setting the penalty price properly. Finally, case studies are carried out to verify the feasibility and efficiency of the proposed penalty mechanism.
Item ID: | 82455 |
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Item Type: | Article (Research - C1) |
ISSN: | 1000-1026 |
Copyright Information: | © 2020 Automation of Electric Power Systems Press. |
Date Deposited: | 17 Jun 2024 07:37 |
FoR Codes: | 40 ENGINEERING > 4008 Electrical engineering > 400805 Electrical energy transmission, networks and systems @ 100% |
SEO Codes: | 17 ENERGY > 1703 Energy storage, distribution and supply > 170309 Smart grids @ 100% |
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