Distributed energy storage node controller and control strategy based on energy storage cloud platform architecture

Tao Yan, Jialiang Liu, Qianqian Niu, Jizhong Chen, Shaohua Xu, Meng Niu, Jerry Y.S. Lin

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


Based on the energy storage cloud platform architecture, this study considers the extensive configuration of energy storage devices and the future large-scale application of electric vehicles at the customer side to build a new mode of smart power consumption with a flexible interaction, smooth the peak/valley difference of the load side power, and improve energy efficiency. A plug and play device for customer-side energy storage and an internet-based energy storage cloud platform are developed herein to build a new intelligent power consumption mode with a flexible interaction suitable for ordinary customers. Based on the load perception of the power grid, this study aims to investigate the operating state and service life of distributed energy storage devices. By selecting an integrated optimal control scheme, this study designs a kind of energy optimization and deployment strategy for stratified partition to reduce the operating cost of the energy storage device on the client side. The effectiveness of the system and the control strategy is verified through the Suzhou client-side distributed energy storage demonstration project.

Original languageEnglish (US)
Pages (from-to)166-174
Number of pages9
JournalGlobal Energy Interconnection
Issue number2
StatePublished - Apr 2020


  • Distributed energy storage
  • Energy storage cloud platform
  • Optimum control
  • Plug and play

ASJC Scopus subject areas

  • Automotive Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology


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