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Tsinghua Science and Technology 2018, 23(3): 233-242 https://doi.org/10.26599/TST.2018.9010039
Open Access | Issue | Published: 02 July 2018

Distributed Energy Sharing in Energy Internet Through Distributed Averaging

Show Author's Information Yangyang Ming,  Jie Yang,  Junwei Cao( ),  Ziqiang Zhou,  Chunxiao Xing
Research Institute of Information Technology, Tsinghua University, Beijing 100084, China.
Electric Power Research Institute of State Grid, Zhejiang Electric Power Company, Hangzhou 310009, China.
Keywords:
Energy Internet, distributed averaging, energy sharing, gossip algorithm
Cite this article:
Ming Y, Yang J, Cao J, et al. Distributed Energy Sharing in Energy Internet Through Distributed Averaging. Tsinghua Science and Technology, 2018, 23(3): 233-242. https://doi.org/10.26599/TST.2018.9010039
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Abstract Full text About this article

This paper proposes a distributed averaging iteration algorithm for energy sharing in microgrids of Energy Internet based on common gossip algorithms. This algorithm is completely distributed and only requires communi-cations between neighbors. Through this algorithm, the Energy Internet not only allocates the energy effectively based on the load condition of grids, but also reasonably schedules the energy transmitted between neighboring grids. This study applies theoretical analysis to discuss the condition in which this algorithm can finally reach supply-and-demand balance. Subsequently, the related simulation validates the performance of the algorithm under various conditions.


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Distributed Energy Sharing in Energy Internet Through Distributed Averaging

Show Author's information Yangyang Ming, Jie Yang, Junwei Cao( ), Ziqiang Zhou, Chunxiao Xing
Research Institute of Information Technology, Tsinghua University, Beijing 100084, China.
Electric Power Research Institute of State Grid, Zhejiang Electric Power Company, Hangzhou 310009, China.

Abstract

This paper proposes a distributed averaging iteration algorithm for energy sharing in microgrids of Energy Internet based on common gossip algorithms. This algorithm is completely distributed and only requires communi-cations between neighbors. Through this algorithm, the Energy Internet not only allocates the energy effectively based on the load condition of grids, but also reasonably schedules the energy transmitted between neighboring grids. This study applies theoretical analysis to discuss the condition in which this algorithm can finally reach supply-and-demand balance. Subsequently, the related simulation validates the performance of the algorithm under various conditions.

Keywords: Energy Internet, distributed averaging, energy sharing, gossip algorithm

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Publication history

Received: 30 June 2017
Accepted: 30 November 2017
Published: 02 July 2018
Issue date: June 2018

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© The author(s) 2018

Acknowledgements

This study was partly supported by the National Natural Science Foundation of China (No. 61472200), Beijing Municipal Science and Technology Commission (No. Z161100000416004), and the project of Blockchain Application Research on Energy Internet (No. 52110417000G).

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