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Research on the Improvement Path of Security Governance Capability of Distribution Network Driven by Intelligent Technology

Yueru Liu, Minjing Li, Linying Sun
Vol. 8, No. 2, pp. 1-7, 2026 DOI: 10.54097/k5fzkx13 August 31, 2026
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Abstract.This article proposes a systematic improvement path for the security governance capability of distribution networks driven by intelligent technology. Realize global state awareness through IoT sensors and edge computing; Based on AI algorithms for fault diagnosis and situation deduction, combined with digital twin platform optimization decision-making; Constructing self-healing control system based on intelligent terminal and virtual power plant technology. The technical level focuses on cloud-side collaborative architecture and deep learning algorithm, the management level promotes cross-departmental collaboration and process standardization, and the mechanism level improves the standard specification and dynamic evaluation mechanism. Taking a demonstration area as an example, after the implementation, the fault location time is reduced from 42 minutes to 2 minutes, the annual power outage events are reduced by 78%, and the voltage qualification rate is increased to 99.71%, which verifies the effectiveness of the closed-loop system of "perception-analysis-decision-execution". The research shows that the integration of intelligent technology, management innovation and institutional guarantee can improve the operation toughness and governance efficiency of distribution network.
Keywords. Intelligent technology Security governance Improvement path Digital twin
APA Citation Yueru Liu, Minjing Li, Linying Sun (2026). Research on the Improvement Path of Security Governance Capability of Distribution Network Driven by Intelligent Technology. Journal of Computer Science and Artificial Intelligence, 8(2), 1-7. https://doi.org/10.54097/k5fzkx13

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