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A power flow tracing method based on power electronic signaling for P2P electricity trading in DC microgrids
journal contribution
posted on 2021-09-21, 13:22 authored by Ruoqi Zhang, Yue Hui, Jiande Wu, Ruichi WangRuichi Wang, Zhengyu LinZhengyu Lin, Xiangning HeThis paper proposes a novel power flow tracing method based on power electronic signaling (PES) for peer-to-peer (P2P) electricity trading in DC microgrids. It employs a superimposed low-frequency sinusoidal carrier to trace DC power flows according to the bus port impedance characteristics of power converters. In order to support fair and accurate P2P trading, source-to-load power signaling (S2LPS) and source-to-source power verification (S2SPV) methods are presented. Through S2LPS, the P2P DC power flow from a specific distributed source (DS) to a power load (PL) is determined by detecting the carrier’s active power at the PL’s bus port. The same carrier is used to check the actual output power of the DS by S2SPV. By implementing S2LPS and S2SPV, the power flows of the system are traced, recorded, and verified by each DS and PL. Accurate power flow tracing is achieved on the physical layer, providing reliable data for P2P electricity trading. The principles of the proposed method are deduced in detail. Furthermore, the modifications to the control loops of DSs and PLs are depicted for implementations in DC microgrids. Finally, a 2.5kW experimental platform is built to validate the correctness and feasibility of the proposed method.
Funding
National Natural Science Foundation of China (51977189)
Plug-and-play Low Voltage DC Microgrid for Cheap and Clean Energy
Engineering and Physical Sciences Research Council
Find out more...European Union’s Horizon 2020 research and innovation program (898194)
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
IEEE Transactions on Power ElectronicsVolume
37Issue
3Pages
3570-3582Publisher
Institute of Electrical and Electronics EngineersVersion
- AM (Accepted Manuscript)
Rights holder
© IEEEPublisher statement
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Acceptance date
2021-09-14Publication date
2021-09-22Copyright date
2021ISSN
0885-8993eISSN
1941-0107Publisher version
Language
- en
Depositor
Dr Zhengyu Lin. Deposit date: 20 September 2021Usage metrics
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