Research on Elastic Scaling Technology for Data Acquisition Containers in Power Grid Dispatching and Control System

The rapid development and increasing proportion of low-voltage distributed photovoltaic (PV) are putting significant pressure on the power grid's carrying capacity and posing substantial challenges to its steady-state operation. To enhance the support capability of the power grid automation system and achieve the adjustability, controllability, observability, and measurability of distributed PV, this paper utilizes the characteristics of container technology to construct a containerized data acquisition architecture with container management nodes and acquisition containers. This approach addresses the challenges of large-scale integration of distributed PV, improves the flexibility and reliability of data acquisition, and enhances the basic support capability of the power grid dispatching and control system.

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Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/netps65392.2025.11101999
Primary Topic
Distributed and Parallel Computing Systems
Type
article
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article

Research on Elastic Scaling Technology for Data Acquisition Containers in Power Grid Dispatching and Control System

Xiang Zheng, Jing Zhang, H. Wu, Jianguo Qian
Distributed and Parallel Computing Systems
article

Research on Elastic Scaling Technology for Data Acquisition Containers in Power Grid Dispatching and Control System

Xiang Zheng, Jing Zhang, H. Wu, Jianguo Qian
article en

Abstract

The rapid development and increasing proportion of low-voltage distributed photovoltaic (PV) are putting significant pressure on the power grid's carrying capacity and posing substantial challenges to its steady-state operation. To enhance the support capability of the power grid automation system and achieve the adjustability, controllability, observability, and measurability of distributed PV, this paper utilizes the characteristics of container technology to construct a containerized data acquisition architecture with container management nodes and acquisition containers. This approach addresses the challenges of large-scale integration of distributed PV, improves the flexibility and reliability of data acquisition, and enhances the basic support capability of the power grid dispatching and control system.

Electric Power Research Institute (US), State Grid Corporation of China (China) (CN), Shanghai Electric (China) (CN)
Openalex Percentile: Top 77%
Distributed and Parallel Computing Systems
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