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

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.

Research on Optimization Scheme of Ship Radar Information Storage Based on Big Data

With the development of marine information technology,ship radar data increases geometrically,and the traditional local server storage architecture has become increasingly unable to meet the requirements of modern ship radar data capacity,so cloud storage has gradually become the mainstream technology of radar data storage.At the same time,because the marine communication network is more vulnerable to external attacks and environmental interference,high-density encryption technology suitable for cloud storage is needed.In this paper,a ship radar cloud storage platform based on big data is studied,and a high-density encryption algorithm CP-ASBE is designed.Finally,simulation is carried out.