Maximum Load Consumption Capacity Maintenance of Distributed Storage Devices Based on Time-Varying Neurodynamic Algorithm

Ziqiang LI, Youran QU*, Meng YAN, Bo PAN, Qin MAO, Cheng JI, Wanmin TAO, Mingliang ZHOU

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

A charge and discharge management scheme is proposed. The stored electric energy in distributed storage devices will converge to the consistent. The consistency of the stored electric energy of the devices helps to maintain the maximum load capacity and maximum consumption capacity of distributed storage devices. The charging and discharging process is constructed as a time-varying optimization problem, and the proposed algorithm can respond to the time-varying parameters of the distributed storage devices in real time. The time-varying neurodynamic algorithms can obtain time-varying optimal solution trajectories to give the optimal charging and discharging strategy in real time. In addition, the proposed approach in this paper focuses on the privacy protection of device data. Each device can calculate the power of discharging or charging by communicating with the partially connected nodes. Numerical simulations of the proposed scheme in the paper are given to verify the effectiveness of the scheme. Numerical simulations show that our scheme can make the electric energy stored in each storage device converge and maintain the maximum load capacity or maximum consumption capacity of the whole distributed storage device.

Original languageEnglish
Article number2450149
JournalJournal of Circuits, Systems and Computers
Volume33
Issue number8
Early online date30 Dec 2023
DOIs
Publication statusPublished - 30 May 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2024 World Scientific Publishing Company.

Keywords

  • Distributed system
  • distributed time-varying neurodynamic algorithm
  • electric energy storage
  • real-time scheduling

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