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Self-learning switching-on phase control method

A self-learning and phasing technology, applied in the parts of protection switches, circuit breaker testing, electrical components, etc., can solve the problem of lack of self-learning and self-correction capabilities, determined by human factors or experience values, and lack of intelligence. problems, to achieve the effect of enhancing the practicability and universality of products, enhancing scientificity and rationality, and avoiding limitations

Active Publication Date: 2012-01-11
NR ELECTRIC CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Its products have the following disadvantages: 1. The optimal control target phase is only determined by human factors or experience values, which is not intelligent enough
2. Only for a certain type of switch, poor adaptability, no self-learning and self-correction capabilities

Method used

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  • Self-learning switching-on phase control method
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  • Self-learning switching-on phase control method

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Embodiment Construction

[0050] Theoretical basis of the present invention is introduced:

[0051] Under the actual system voltage, along with the reduction of the gap spacing and the decrease of the dielectric strength of the fracture, pre-breakdown occurs when the dielectric strength is lower than the system voltage applied to the port. The optimal target closing phase can be directly calculated at the minimum point or maximum point of the closing voltage through the actual voltage closing test, but it is difficult to carry out multiple tests in actual conditions. Therefore, a new method based on the combination of circuit breaker mechanical action deviation and RDDS (Rate of Decrease of dielectric strength: rate of decline in dielectric strength) function, and intelligent comparison and correction with action records is proposed to obtain the best target closing phase. When the circuit breaker action deviation and RDDS are known, the theoretical optimal target closing phase can be calculated accord...

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Abstract

The invention discloses a self-learning switching-on phase control method adopted by a phase selection switching-on device, which is applied to the phase selection switching-on control of electric equipment in an alternating current station and a direct current converter station. The self-learning switching-on phase control method is characterized in that the self learning of an optimum object throw phase based on the circuit breaker mechanical action deviation and real-time digital data service (RDDS) function combination and the action record comparison correction is adopted. The strong switch characteristic self learning capability is realized, the switch characteristics can be accumulated according to the in-site operation, and the real-time correction is carried out. The intelligent correction is realized in the application, and the limitation of determining the optimum object phase by the artificial factors or the empirical values is avoided.

Description

technical field [0001] The invention relates to a method for controlling the closing phase of a phase-selection closing device, which is suitable for the phase-selection switching control of electric equipment in an AC station and a DC converter station. Background technique [0002] Controlled Switching (CS for short) is the most direct and effective solution to reduce the transient voltage and inrush current of the circuit breaker. It has intuitive control effects and obvious economic benefits. [0003] Although the research on phase control technology abroad started earlier, its biggest drawback is that a type of device can only be used with specific types of switches, which has poor adaptability, and cannot meet the needs of domestic switch manufacturers for phase selection and switching products. The reason is that foreign switches have sufficient and superior conditions to do enough tests on circuit breakers to obtain credible data, and then equip such switches with ph...

Claims

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Application Information

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IPC IPC(8): H01H71/00H01H9/56G01R31/327
Inventor 须雷李海涛李海英曹冬明李九虎
Owner NR ELECTRIC CO LTD
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