Standardized Data Model of State Grid Cloud Unified Interface based on High Reliability Environment

The State Grid Cloud Platform encounters significant challenges in interface standardization and data model unification within high-reliability environments, impeding efficient data exchange and system integration for critical power operations. Methods: To address this, we developed a standardized hierarchical data model comprising foundational data types, business-specific mappings, and interface protocols, enhanced by load balancing with intelligent request distribution, data redundancy mechanisms, and event-driven streaming transmission. Results: Experimental validation demonstrated substantial gains: Interface response time for 10,000 concurrent requests reduced by 40% (from 2,100 ms to 1,250 ms), data throughput at 100 GB surged 205% (from 0.95 GB/s to 2.9 GB/s), and single-node failure recovery accelerated by 67% (from 120 s to 40 s) with data loss rates halved. Conclusion: This framework significantly elevates transmission efficiency, fault tolerance, and real-time synchronization capabilities, establishing a robust foundation for mission-critical power cloud infrastructure while ensuring operational resilience under high-load scenarios.

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Publication Details

Published
2025-06-06
DOI
https://doi.org/10.1109/icicke65317.2025.11136288
Primary Topic
Smart Grid and Power Systems
Type
article
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article

Standardized Data Model of State Grid Cloud Unified Interface based on High Reliability Environment

Jianhong Gao, Jun Liu, Yang Lu, Fangcheng Chu
Smart Grid and Power Systems
article

Standardized Data Model of State Grid Cloud Unified Interface based on High Reliability Environment

Jianhong Gao, Jun Liu, Yang Lu, Fangcheng Chu
article en

Abstract

The State Grid Cloud Platform encounters significant challenges in interface standardization and data model unification within high-reliability environments, impeding efficient data exchange and system integration for critical power operations. Methods: To address this, we developed a standardized hierarchical data model comprising foundational data types, business-specific mappings, and interface protocols, enhanced by load balancing with intelligent request distribution, data redundancy mechanisms, and event-driven streaming transmission. Results: Experimental validation demonstrated substantial gains: Interface response time for 10,000 concurrent requests reduced by 40% (from 2,100 ms to 1,250 ms), data throughput at 100 GB surged 205% (from 0.95 GB/s to 2.9 GB/s), and single-node failure recovery accelerated by 67% (from 120 s to 40 s) with data loss rates halved. Conclusion: This framework significantly elevates transmission efficiency, fault tolerance, and real-time synchronization capabilities, establishing a robust foundation for mission-critical power cloud infrastructure while ensuring operational resilience under high-load scenarios.

NARI Group (China) (CN)
Openalex Percentile: Top 75%
Smart Grid and Power Systems
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Standardized Data Model of State Grid Cloud Unified Interface based on High Reliability Environment — Jianhong Gao, Jun Liu, et al. · (2025) | TGRS Research Map | TGRS