A centralized control system and method for power distribution intelligent station

By establishing a communication network between distribution rooms and building a multi-node collaborative analysis model, the problem of identifying abnormal data during device aging was solved, high-reliability and efficient monitoring and operation and maintenance were achieved, and the early warning and fault handling capabilities of the distribution network were improved.

CN120414919BActive Publication Date: 2025-09-09SHAANXI LIANZHONG ELECTRIC POWER TECH CO LTD
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Patent Information

Application Number
CN202510920387.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-07-04
Publication Date
2025-09-09
Estimated Expiration
2045-07-04

AI Technical Summary

Technical Problem

Existing technologies have difficulty accurately identifying progressively abnormal data in scenarios involving aging devices or collaborative monitoring of multiple distribution room nodes, resulting in a high misjudgment rate. They also fail to effectively utilize operating data from adjacent distribution rooms for cross-verification, making it difficult to detect regional power supply anomalies. This leads to a high risk of missed detection and fails to meet the needs of high-reliability monitoring and operation.

Method used

By establishing a communication network between each distribution room, building an operation prediction model that integrates a time series feature extraction model and a neural network, we can achieve both short-term and long-term dual predictions. By combining the electrical sensitivity matrix and physical laws, we can perform multi-node data cross-validation, dynamically update the aging feature weights, build a device operation status feature library, perform distributed computing and collaborative analysis, dynamically identify computing bottlenecks and schedule adjacent node resources, and optimize data transmission paths.

Benefits of technology

It improves the accuracy of abnormal data detection, reduces the misjudgment rate, improves the computing speed and fault handling efficiency, ensures the real-time early warning capability of the distribution network, reduces computing resource usage and transmission delay, and meets the needs of high-reliability monitoring and operation and maintenance.

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Abstract

This solution belongs to the field of centralized control of distribution stations, and specifically relates to a centralized control system and method for a distribution intelligent station. A centralized control method for a distribution intelligent station, comprising the following steps: S10: establishing a communication network between each distribution room node and a centralized control center based on the physical location relationship between each distribution room, and using the distribution room nodes to collect the operating data of the devices in each unit in the distribution room; S20: each distribution room establishes an operation prediction model based on local historical operation data, and the distribution room node inputs the currently collected operation data into the operation prediction model to calculate the operation data after a preset short-term time and a preset long-term time as short-term prediction data and long-term prediction data. This solution improves the accuracy of abnormal data detection and prediction, solves the problem of low reliability of monitoring and operation in the existing technology in scenarios of device aging or collaborative monitoring of multiple distribution room nodes; and improves the computing speed of detection and prediction.
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