Research On P2P Optimal Scheduling of User Side Distributed Generation Under Ubiquitous Power Internet of Things

XIAO Yong; YU Jie; ZHANG Xinsen; QIAN Bin; WANG Yan; ZHANG Tongtong

doi:10.21656/1000-0887.410126

Volume 41 Issue 12

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Article Navigation > Applied Mathematics and Mechanics > 2020 > 41(12): 1358-1368

XIAO Yong, YU Jie, ZHANG Xinsen, QIAN Bin, WANG Yan, ZHANG Tongtong. Research On P2P Optimal Scheduling of User Side Distributed Generation Under Ubiquitous Power Internet of Things[J]. Applied Mathematics and Mechanics, 2020, 41(12): 1358-1368. doi: 10.21656/1000-0887.410126

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Research On P2P Optimal Scheduling of User Side Distributed Generation Under Ubiquitous Power Internet of Things

doi: 10.21656/1000-0887.410126

¹Electric Power Research Institute, CSG, Guangzhou 510080, P.R.China;²School of Electrical Engineering, Southeast University, Nanjing 210096, P.R.China

Received Date: 2020-05-06
Publish Date: 2020-12-01

Abstract

Abstract

The ubiquitous power internet of things (UPIoT) can make full use of advanced communication technologies to realize the wide interconnection of power generation, transmission, distribution and use in the power system, thus providing technical support for the massive access of distributed generations (DGs). Under the background of the UPIoT, the idea of the P2P technology was applied to establish the decentralized scheduling architecture of distributed generations, so that the optimal scheduling could be completed through information interaction based on communication among distributed generations. The distributed sub-gradient algorithm was applied to solve the established P2P optimal scheduling model, and the doubly stochastic matrix was introduced to construct the connection matrix between nodes in the UPIoT. Finally, the feasibility and effectiveness of the optimization model and its solution method were verified through simulation examples, and the interrupts and errors that may be encountered in the communication process were also discussed.
- ubiquitous power internet of things,
- P2P optimal scheduling,
- doubly stochastic matrix,
- distributed sub-gradient algorithm

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References

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