An intelligent tracing method and system for a power dispatching system

By constructing a multi-level progressive tracing method, the problem of accurate attribution of wind turbine response deviations in the power dispatching system was solved, enabling accurate identification of individual wind turbine anomalies and operation and maintenance guidance, thereby improving the accuracy of tracing and the efficiency of operation and maintenance.

CN122087672BActive Publication Date: 2026-07-14SHANXI HELI INNOVATION TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANXI HELI INNOVATION TECH CO LTD
Filing Date
2026-04-24
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

The existing power dispatching system fails to effectively distinguish between individual turbine anomalies and common factors in wind farm response deviation tracing, resulting in low tracing accuracy and an inability to provide targeted guidance for operation and maintenance inspections.

Method used

By constructing a multi-level progressive tracing method, including vertically comparing current and historical response data of wind turbines, horizontally associating the characteristics of adjacent wind turbines, stripping away the influence of common factors, identifying individual anomalies, generating personalized response sequences, and issuing in-depth inspection instructions.

Benefits of technology

It enables accurate attribution of wind turbine response deviations, improves the accuracy of source tracing and the targeting of operation and maintenance, reduces data processing complexity and computational burden, and provides accurate source tracing basis.

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Abstract

The present application relates to the technical field of intelligent tracing of power dispatching systems, and in particular to an intelligent tracing method and system for power dispatching systems, wherein the method comprises: identifying a response deviation fan that needs to be traced, generating a current response time sequence, and determining whether the response capability conforms to the historical normal fluctuation range; if not, determining whether there is a common factor influence based on the correlation characteristics of the response deviation fan and adjacent response deviation fans; based on the determination result of the existence of the common factor influence, determining a common response increment sequence according to the response amplitude of the adjacent response deviation fans to restore the common response theoretical sequence; further, determining an individual response sequence based on the individual deviation value of the response deviation fan; identifying whether the response deviation fan conforms to the superimposed individual anomaly based on the individual response sequence to identify an abnormal period, and issuing a deep inspection instruction. The present application improves the identification accuracy of individual anomalies when there is a common factor influence in the tracing of power dispatching.
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