Electric Power Data Acquisition System Based on the Concept of Information-Physical Synergy

As the global energy structure shifts and the complexity of power systems increases, the comprehensive digitalization of power data has become an irreversible trend. Information-Physical Synergy (IPS), as an emerging concept, achieves intelligent, efficient, and sustainable electric power data acquisition systems through the deep integration of Information Space and Physical Environment. This paper explores the application of the IPS theoretical framework in the field of electric power data acquisition, highlighting its core features such as the information-physical integration architecture, real-time monitoring and remote control, and intelligent decision support. Additionally, the paper details key technologies including architecture design based on an independently controllable ecosystem, commercial cryptography and CPU-level security technologies, and advanced algorithms like edge computing scheduling. Despite the enormous potential of the IPS framework in the power sector, it still faces challenges such as system complexity, data security, and algorithm optimization. Future research will further explore these challenges and seek effective solutions to promote the continuous development of the power industry.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10864622
Primary Topic
Smart Grid and Power Systems
Type
article
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Electric Power Data Acquisition System Based on the Concept of Information-Physical Synergy

Xiaotian Fu, Xi Yang, Chunhua Xu, Jiayin Lin et al.
Smart Grid and Power Systems
article

Electric Power Data Acquisition System Based on the Concept of Information-Physical Synergy

Xiaotian Fu, Xi Yang, Chunhua Xu, Jiayin Lin, Xiao‐Fei Wang, Chen Zhang
article en

Abstract

As the global energy structure shifts and the complexity of power systems increases, the comprehensive digitalization of power data has become an irreversible trend. Information-Physical Synergy (IPS), as an emerging concept, achieves intelligent, efficient, and sustainable electric power data acquisition systems through the deep integration of Information Space and Physical Environment. This paper explores the application of the IPS theoretical framework in the field of electric power data acquisition, highlighting its core features such as the information-physical integration architecture, real-time monitoring and remote control, and intelligent decision support. Additionally, the paper details key technologies including architecture design based on an independently controllable ecosystem, commercial cryptography and CPU-level security technologies, and advanced algorithms like edge computing scheduling. Despite the enormous potential of the IPS framework in the power sector, it still faces challenges such as system complexity, data security, and algorithm optimization. Future research will further explore these challenges and seek effective solutions to promote the continuous development of the power industry.

State Grid Corporation of China (China) (CN), Durham University (GB)
Affordable and clean energy
Openalex Percentile: Top 75%
Smart Grid and Power Systems
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