Research on Digital System of Collaborative Cycle Integration Information Transformation in Electric Power Enterprises

This paper first establishes the virtual power station scheduling architecture for cloud computing, and deploys it on the cloud computing platform. The core task is solved by integrating the whole dispatching system, and then the edge cluster is used to decentralized manage the virtual power station, and the unique advantages are used to provide intelligent services for the virtual power station and carry out comprehensive control. Secondly, using Docker container to manage server resources of cloud edge collaboration can not only effectively manage server resources, but also facilitate software release and maintenance. Finally, according to the server occupancy, the scheduling method of analytic computing tasks oriented to cloud edge collaboration is studied to improve the resource utilization and balance of cloud edge collaboration. The research results of this project will provide a new idea for the real-time dispatching of virtual power station with high frequency and high reliability in the future.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/iciscae62304.2024.10761143
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
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Research on Digital System of Collaborative Cycle Integration Information Transformation in Electric Power Enterprises

Zhenguo Peng, Xiaomeng Liu, Zhonghua Yin, Wei Tong et al.
Power Systems and Technologies
article

Research on Digital System of Collaborative Cycle Integration Information Transformation in Electric Power Enterprises

Zhenguo Peng, Xiaomeng Liu, Zhonghua Yin, Wei Tong, Zuohu Chen, Zhenfen Zhang
article en

Abstract

This paper first establishes the virtual power station scheduling architecture for cloud computing, and deploys it on the cloud computing platform. The core task is solved by integrating the whole dispatching system, and then the edge cluster is used to decentralized manage the virtual power station, and the unique advantages are used to provide intelligent services for the virtual power station and carry out comprehensive control. Secondly, using Docker container to manage server resources of cloud edge collaboration can not only effectively manage server resources, but also facilitate software release and maintenance. Finally, according to the server occupancy, the scheduling method of analytic computing tasks oriented to cloud edge collaboration is studied to improve the resource utilization and balance of cloud edge collaboration. The research results of this project will provide a new idea for the real-time dispatching of virtual power station with high frequency and high reliability in the future.

Openalex Percentile: Top 80%
Power Systems and Technologies
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