Power transmission and transformation equipment maintenance priority ordering method based on maintenance risk premium

Abstract

The invention provides a power transmission and transformation equipment maintenance priority ordering method based on a maintenance risk premium. The method comprises the following steps of acquiring information of power transmission and transformation equipment, collecting and analyzing environment information, system information and equipment information of equipment required in an equipment risk source identification step and an equipment risk evaluation step; identifying a power transmission and transformation equipment risk source, performing identification and classified quantization on uncertain factors and safety hazards in the equipment by means of the information which is acquired in the information acquisition step, establishing an equipment operation stopping model; performing equipment fault result severity evaluation, performing topology analysis and trend calculation on a power grid according to an equipment operation stopping condition and fault probability of each set of operation equipment, simulating a power grid operation scene, and evaluating comprehensive result severity of the power grid after the fault of the equipment; and performing equipment maintenance ordering based on the maintenance risk premium for setting an equipment maintenance priority ordering problem on the condition of limited maintenance resource, and supplying theoretical and technological supports for maintenance arrangement. The power transmission and transformation equipment maintenance priority belongs to the field of power transmission and transformation equipment maintenance.

Description

technical field [0001] The invention belongs to the field of power transmission and transformation equipment maintenance, and in particular relates to a method for sorting the priority of power transmission and transformation equipment maintenance. Background technique [0002] As a typical asset-intensive enterprise, power companies spend a lot of money on the inspection and maintenance of power transmission and transformation equipment every year. Compared with blind regular planned maintenance, condition-based maintenance can make maintenance judgments based on the status of the power equipment itself and the operating status of the power grid, which is more economical and efficient. [0003] With the continuous deepening of smart grid construction, the integration of power electronics technology, communication technology, network technology, big data technology and power system is more closely, various accurate condition monitoring technologies, advanced fault prediction...

AI Technical Summary

Problems solved by technology

Traditional equipment risk maintenance decisions often use the probability of equipment failure or the size of the risk index as the selection method for the set of equipment to be overhauled. Although it is simple and practical, in fact, due to the aging of its own materials or the influence of the weather environment, some equipment cannot be repaired even if it is overhauled. Significantly reduce the failure probability and equipment risk of equipment

Therefore, the above method cannot be used to select the equipment that really needs to be overhauled and can maximize the overhaul effect.

Moreover, the current equipment risk assessment indicators are too single, and the coupling relationship between equipment failure consequences is not considered, which affects the accuracy of equipment selection to a certain extent.

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