全球能源互联网（英文）2020，Vol.3Issue(2)：166-174,9.DOI:10.14171/j.2096-5117.gei.2020.02.008
基于储能云平台架构的分布式储能节点控制器及控制策略研究
Distributed energy storage node controller and control strategy based on energy storage cloud platform architecture
摘要
Abstract
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.关键词
分布式储能/优化控制/即插即用/储能云平台Key words
Distributed energy storage/Optimum control/Plug and play/Energy storage cloud platform引用本文复制引用
Tao Yan,Jialiang Liu,Qianqian Niu,Jizhong Chen,Shaohua Xu,Meng Niu,Jerry Y.S. Lin..基于储能云平台架构的分布式储能节点控制器及控制策略研究[J].全球能源互联网（英文）,2020,3(2):166-174,9.基金项目
This work was supported by the State Grid Corporation of China Science and Technological Project (Research and demonstration application of key technology of energy storage cloud for mobile energy storage application of electric vehicles 5419-201971217a-0-0-00). （Research and demonstration application of key technology of energy storage cloud for mobile energy storage application of electric vehicles 5419-201971217a-0-0-00）
