一种快速真空断路器的合闸选相补偿方法
By studying the closing phase selection compensation method of fast vacuum circuit breakers, and combining adaptive algorithms and generalized regression neural networks, the problem of closing time prediction under the influence of factor coupling was solved, achieving accurate closing and extending equipment life, and improving the safety and stability of smart grids.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DALIAN UNIV OF TECH
- Filing Date
- 2022-12-07
- Publication Date
- 2026-07-17
AI Technical Summary
Existing research and practice lack a unified study of the various influencing factors of fast vacuum circuit breakers, making it difficult to accurately predict the closing phase point and affecting the fast control and protection effect of switchgear.
The closing phase selection compensation method is adopted to study the influence law and weight ratio of various influencing factors. Combined with the adaptive algorithm, a feedforward control mechanism is formulated to realize the compensation of the closing time of the operating mechanism. The closing time is predicted by the generalized regression neural network and adaptive compensation is performed.
It achieves precise compensation for the closing time of fast vacuum circuit breakers, improves the reliability and lifespan of switching equipment, enhances the safety and stability of the power grid, and meets the development needs of smart grids.
Smart Images
Figure CN116168964B_ABST