Low-voltage distribution network active fault diagnosis method based on intelligent distribution terminal

Abstract

The invention provides a low-voltage distribution network active fault diagnosis method based on an intelligent distribution terminal. The method is characterized in that real-time monitoring and analysis of the local information of distribution transformers, low-voltage branch boxes, meter boxes and user intelligent meters are performed based on the intelligent distribution terminal, distributededge computing of the intelligent distribution terminal is utilized, user power outages are actively mastered, fault investigation and determination on the spot are developed, fault repair is timely and actively performed at a positioning fault interval for low-voltage distribution network faults, the shut-down time of users is reduced, and active service and the excellent service level are improved.

Description

technical field [0001] The invention relates to the technical field of distribution networks, in particular to a method for actively researching and judging faults in low-voltage distribution networks based on intelligent distribution transformer terminals. Background technique [0002] The low-voltage distribution network is the terminal link of the power distribution system and directly serves the users. According to statistics, the users of the low-voltage power grid account for more than 90% of the total power users. Emergency repairs are critical to improving power supply reliability and quality service levels. However, for a long time, the research and judgment of distribution network faults have mainly focused on the 10kV distribution network, ranging from substation outlet switches to 10kV branch lines. According to the statistics and analysis of distribution network faults in recent years, the low-voltage distribution network ( 0.4kV) faults account for more than 9...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a low-voltage distribution network fault active research and judgment method based on an intelligent distribution transformer terminal, which solves the problems of timeliness and information congestion caused by passive perception of traditional fault research and judgment, centralized collection and research of information, and information congestion. Real-time monitoring and analysis of the distribution network, proactively grasp user power outage events and carry out on-site fault research and judgment, timely locate fault areas and carry out fault repairs, reduce user power outage time, and improve "active" service and high-quality service level

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