Differential principle based large-scale power grid intelligent trouble diagnosis method

Abstract

The invention discloses a differential principle based large-scale power grid intelligent trouble diagnosis method. The differential principle based large-scale power grid intelligent trouble diagnosis method comprises fault recording sampling, calculation of a phase current differential value with electric transmission and transformation equipment serving as a unit when the power grid normally operates, differential current calculation of primary current of the power grid equipment with power grid independent equipment serving as a calculation unit according to the fault data transmitted by a fault recorder and comparison of the differential current value and a differential current setting value to judge whether out-of-limit or not. The differential principle based large-scale power grid intelligent trouble diagnosis method has the advantages of being wide in applicable range and accurate in judgment, allowing automatic medical result push, not being influenced by factors such as a system operation mode and system oscillation and the like due to the fact that a fault position is accurately and quickly positioned according to the differential principle and a medical result is automatically pushed in a main wiring diagram.

Description

technical field [0001] The invention relates to the field of grid intelligent fault diagnosis methods, in particular to a large-scale grid intelligent fault diagnosis method based on the differential principle. Background technique [0002] With the continuous strengthening of the power grid connection, the power transmission capacity of the power grid is effectively improved, but at the same time, the possibility of expanding the scope of the accident caused by the local fault of the power grid is continuously increasing, which greatly increases the difficulty of accurate fault identification. Therefore, in recent years, various companies have intensified the construction of technical support systems such as fault recording networking systems and relay protection information systems. Such fault information can be transmitted to the dispatching terminal in time, but operators cannot quickly, accurately and intuitively judge the nature of the fault based on the discrete fault...

AI Technical Summary

Problems solved by technology

Therefore, in recent years, various companies have intensified the construction of technical support systems such as fault recording networking systems and relay protection information systems. Such fault information can be transmitted to the dispatching terminal in time, but operators cannot quickly, accurately and intuitively judge the nature of the fault based on the discrete fault information such as the displacement of the circuit breaker, the analog value of the fault recorder, and the action items of the protection device, which greatly affects Restoring power supply speed and safe operation of the grid

[0003] Aiming at this difficult problem, many scholars at home and abroad have proposed methods such as Petri nets, rough sets, multi-source information fusion technology, and expert diagnosis systems for fault diagnosis of power grids. These studies have achieved certain results, but more fault information is required. And the criterion is relatively complex, and there are still great limitations in engineering practical application.

[0004] When an abnormality or fault occurs in a large-scale power grid, all kinds of fault information can be transmitted to the dispatching end in time, but the operator cannot quickly and quickly based on the discrete fault information such as the displacement of the circuit breaker, the analog value of the fault recorder, and the action of the protection device. Accurately and intuitively judge the nature of the fault, which greatly affects the speed of restoring power supply and the safe operation of the power grid

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