基于大数据的选相断路器智能控制方法与系统
By using a big data-based intelligent control method for circuit breakers, operational data of power grid nodes are acquired and analyzed. Feature extraction and trend calculation are performed, and parameters are dynamically adjusted. This solves the problem of response lag in circuit breakers under complex operating conditions and improves response speed and accuracy.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING AOSHI ORIENTAL AUTOMATION SYSTEM CO LTD
- Filing Date
- 2025-07-08
- Publication Date
- 2026-07-17
AI Technical Summary
Existing circuit breaker control methods are slow to respond under complex operating conditions and cannot capture the changing trends of key indicators in a timely manner, resulting in delayed response or scheduling failure.
By acquiring the raw operating data of each node, feature extraction and status assessment are performed. Trend calculations are conducted by combining frequency offset and power factor changes. Load response characteristics are analyzed by combining real-time voltage fluctuations and temperature influence coefficients. Operating parameters are dynamically corrected, control commands are generated, and time-series scheduling is performed.
It improves the response speed and accuracy of circuit breakers in complex environments, reduces the false tripping rate, ensures the consistency between control strategy and operating status, and achieves a more reasonable response sequence and execution rhythm.
Smart Images
Figure CN121011986B_ABST