With the rapid development of smart grid and edge computing technologies, renewable energy stations are facing increasingly severe challenges in data processing and management. The complexity and inefficiency of traditional device access methods lead to delays in system response time and low resource utilization, severely impacting the overall performance of the power system. To address these issues, this paper proposes a secure and trustworthy edge gateway device that supports friendly interaction between sources, networks, and loads. This device adopts a plug-and-play model and containerized deployment technology to achieve efficient and flexible device access and management. The plug-and-play protocol module is a core component of the edge gateway. This paper establishes a bidirectional identity authentication mechanism between the edge gateway and the edge cluster to ensure communication security. After the identity authentication is completed, the edge cluster actively interacts with the edge gateway to obtain a list of model files and summon specific model files as needed. The edge cluster can also subscribe to obtain data sets of model device instances and receive update notifications when models change. Additionally, the edge gateway actively adds recognized southbound device instances during startup or operation and regularly uploads the communication status of sub-devices. After completing device discovery, the edge gateway actively transmits data to the edge cluster based on subscription results and supports the edge cluster in issuing control commands to remotely control and modify parameters of the discovered devices. This process simplifies the device access steps, significantly reduces the need for manual intervention, and thus enhances the reliability and flexibility of the system. In terms of containerized deployment, this paper explores the technology of packaging applications and their dependent environments into independent containers to achieve rapid application updates and flexible resource management. The application of containerization technology allows the edge gateway to run seamlessly on different hardware platforms, enhancing the system’s portability and flexibility. Furthermore, by utilizing container orchestration tools, the edge gateway can dynamically adjust resource allocation based on real-time load, ensuring system stability and response speed in high-concurrency scenarios. The system architecture designed in this paper encompasses multiple modules, including data acquisition module, data processing module, communication module, and management module. The data acquisition module is responsible for obtaining real-time data from various devices, employing efficient acquisition algorithms to ensure data accuracy and timeliness. The data processing module performs real-time analysis of the collected data, combining stream processing and batch processing technologies to support subsequent decision-making and control. The communication module ensures efficient data transmission between different modules, using efficient communication protocols to reduce latency and improve bandwidth utilization. The management module is responsible for the overall monitoring and maintenance of the system, providing a user-friendly interface for operation and maintenance personnel to manage the system and troubleshoot issues. Through performance evaluation of the edge gateway device, test results indicate that the edge gateway utilizing the plug-and-play model and containerized deployment significantly outperforms traditional device access methods in terms of data processing speed, system response time, and resource utilization, effectively meeting the real-time data processing needs of distributed renewable energy stations.

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Research on the Application of Edge Gateway in Power Systems Based on Plug-and-Play and Containerized Deployment

  • Sen Yang,
  • Guoshan Teng,
  • Jishuang Zhao,
  • Jiajiahe

摘要

With the rapid development of smart grid and edge computing technologies, renewable energy stations are facing increasingly severe challenges in data processing and management. The complexity and inefficiency of traditional device access methods lead to delays in system response time and low resource utilization, severely impacting the overall performance of the power system. To address these issues, this paper proposes a secure and trustworthy edge gateway device that supports friendly interaction between sources, networks, and loads. This device adopts a plug-and-play model and containerized deployment technology to achieve efficient and flexible device access and management. The plug-and-play protocol module is a core component of the edge gateway. This paper establishes a bidirectional identity authentication mechanism between the edge gateway and the edge cluster to ensure communication security. After the identity authentication is completed, the edge cluster actively interacts with the edge gateway to obtain a list of model files and summon specific model files as needed. The edge cluster can also subscribe to obtain data sets of model device instances and receive update notifications when models change. Additionally, the edge gateway actively adds recognized southbound device instances during startup or operation and regularly uploads the communication status of sub-devices. After completing device discovery, the edge gateway actively transmits data to the edge cluster based on subscription results and supports the edge cluster in issuing control commands to remotely control and modify parameters of the discovered devices. This process simplifies the device access steps, significantly reduces the need for manual intervention, and thus enhances the reliability and flexibility of the system. In terms of containerized deployment, this paper explores the technology of packaging applications and their dependent environments into independent containers to achieve rapid application updates and flexible resource management. The application of containerization technology allows the edge gateway to run seamlessly on different hardware platforms, enhancing the system’s portability and flexibility. Furthermore, by utilizing container orchestration tools, the edge gateway can dynamically adjust resource allocation based on real-time load, ensuring system stability and response speed in high-concurrency scenarios. The system architecture designed in this paper encompasses multiple modules, including data acquisition module, data processing module, communication module, and management module. The data acquisition module is responsible for obtaining real-time data from various devices, employing efficient acquisition algorithms to ensure data accuracy and timeliness. The data processing module performs real-time analysis of the collected data, combining stream processing and batch processing technologies to support subsequent decision-making and control. The communication module ensures efficient data transmission between different modules, using efficient communication protocols to reduce latency and improve bandwidth utilization. The management module is responsible for the overall monitoring and maintenance of the system, providing a user-friendly interface for operation and maintenance personnel to manage the system and troubleshoot issues. Through performance evaluation of the edge gateway device, test results indicate that the edge gateway utilizing the plug-and-play model and containerized deployment significantly outperforms traditional device access methods in terms of data processing speed, system response time, and resource utilization, effectively meeting the real-time data processing needs of distributed renewable energy stations.