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

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.