Article Details

Abstract

To address difficulties in the collaborative processing of multisource heterogeneous data and weak generalization capability in intelligent decision-making in traditional distribution networks, this paper constructs four key technical systems: spatiotemporal synchronous preprocessing of multisource data, terminal-edge-cloud collaborative streaming processing, spatiotemporal feature fusion modeling, and hierarchical intelligent decision-making and closed-loop control. Additionally, a four-tier system architecture comprising the perception layer, edge processing layer, cloud decision-making layer, and application execution layer is designed to enable full lifecycle management of power grid data and closed-loop intelligent decision-making. Experimental results demonstrate that the system achieves a data processing latency of 8.2 to 14.5 ms, an anomaly recognition accuracy of at least 99.83%, and a fault location error within ±2.1 m; the average monthly outage duration per user is reduced by 44.7%, and operation and maintenance labor costs are reduced by 70.1%. The experimental results validate the effectiveness and practical engineering value of the technical system and system solution and provide important technical support for the safe, stable, efficient, and economical operation of new-type distribution networks.

Keywords

primary-secondary equipment integration; power grid data; real-time processing; intelligent decision-making

References

1. [1] Yang Moyuan, Zhang Shenxi, Cheng Haozhong, etc Reliability assessment of SOP flexible interconnected distribution network considering multi-stage recovery after faults [J]. Chinese Journal of Electrical Engineering, 2026, 46 (1): 61-73
2. [2] Wang Ying, Liu Huizi, Hu Wenxi Voltage sag evaluation method for distribution network based on identification of key control parameters of distributed power sources [J]. Grid Technology, 2025, 49 (2): 727-737
3. [3] Guo Jiahao, Yang Xiong, Fang Xin, etc Simulation and Research on ECVT Signal Processing Circuit of Primary and Secondary Fusion Equipment [J]. Electric Transmission, 2024, 54 (1): 27-32
4. [4] Gong Kaiqiang, Wan Lixin, Qi Xingyu A new energy extraction device for primary and secondary fusion column mounted circuit breaker facing the needs of edge computing [J]. Mechanical and Electronics, 2024, 42 (5): 9-13
5. [5] Geng Jun, Li Zhengshuo Voltage optimization method for three-phase unbalanced distribution network based on fair safe multi-agent deep reinforcement learning [J]. Chinese Journal of Electrical Engineering, 2025, 45 (21): 8323-8337
6. [6] Xiao Kongli Research on Spatial Information Data Processing Technology Based on FME [J]. Modern Information Technology, 2025, 9 (15): 163-167
7. [7] Wang Yudi, Xie Ning, Wang Chengmin Research on two-stage transaction decision-making of power grid enterprises considering collaborative optimization of purchase and sale deviation costs [J]. Power Grid Technology, 2025, 49 (9): 3721-3732
8. [8] Guo Jiahao, Yang Xiong, Fang Xin, etc Integrated testing and automatic switching technology for primary and secondary fusion equipment [J]. Electric Transmission, 2023, 53 (11): 77-83
9. [9] Huang Yuxiang, Chen Haoyong, Niu Zhenyong, etc Overview of Virtual Power Plant Architecture and Key Operating Technologies Based on the "Energy Information Value" Three Layer Network [J]. Power System Protection and Control, 2024, 52 (24): 169-187
10. [10] Zheng Shunwei, Liao Kai, Yang Jianwei, etc Analysis of the safe operation domain model and impact mechanism of microgrids based on temporal characteristics [J]. Electric Power Automation Equipment, 2023, 43 (2): 160-168

About the authors

Huang Binbin (1988-), male, Han ethnicity, from Bozhou, Anhui Province, with a bachelor's degree. His research interests include power systems and automation, new energy generation grid control, distributed power generation and distribution network operation control, and intelligent power inspection.