Collaborative Control System Design of Charging Facilities Based on Cloud Edge Collaboration
With the access of large-scale charging facilities and increasing refinement of related analysis and calculation,original monitoring systems cannot adapt to large-scale data processing requirements.Therefore,this paper proposes a collaborative control system of charging facilities based on cloud-edge collaboration.By combining the characteristics of cloud-edge collaboration and control requirements of charging facilities,it constructs the functional positioning and interaction model of the cloud,edge and charging facilities,the cloud manages the edge and aggregation gateway uniformly,the cloud system receives the collected information to analyze and calculate the service management and scheduling for control systems.The edge system performs the data acquisition and real-time control of distributed charging facilities.The cloud edge system manages server resources through the Docker container technology.It propose a container deployment scheduling algorithm based on minimum change rate to achieve the server load balancing and efficient use of resources.The proposed system realizes the effective allocation of resources under the pressure of big data communication,and meets the needs of power system data acquisition and multi-time scale control.Finally,the proposed system further verifies the adaptability and efficiency of the Docker container and its deployment scheduling algorithm in resource management by examples.
cloud edge collaborationcharging facilitiesDockersystemcollaborative control
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