Power transformer service life analysis method and system based on risk evaluation
A power transformer and life analysis technology, applied in the field of transformers, can solve the problems of simple model, no consideration of the influence of transformer reliability, single method, etc.
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Embodiment 1
[0088] refer to Figure 1-Figure 7 , the power transformer life analysis method based on risk assessment provided by the present invention, comprises the following steps:
[0089] S1: Identify the main failure modes of the power transformer;
[0090] S2: Using the fault tree analysis method to establish a fault tree of the power transformer;
[0091] S3: Perform quantitative analysis on the fault tree by using fuzzy analytic hierarchy process, and establish a fuzzy judgment matrix;
[0092] S4: Obtain the severity weight vector of each fault factor of each component according to the fuzzy judgment matrix;
[0093] S5: According to the severity weight of each fault factor of each component, the probability and reliability of each component and the overall failure of the power transformer are obtained;
[0094] S6: Based on the overall reliability results of the power transformer obtained, an aging model of the power transformer is established;
[0095] S7: According to the ...
Embodiment 2
[0152] The difference between this embodiment and Embodiment 1 lies in the method used to calculate the severity weight vector of each fault factor in step S42 , and the rest of the steps are the same, and will not be repeated here.
[0153] In this embodiment, the particle swarm optimization algorithm is used to obtain the optimal weight ω of each fault factor i , so as to obtain the severity weight vector W=[ω 1 ,ω 2 ,…ω n ]. Specifically:
[0154] S43: According to the established constraint programming equations, namely formula (2), use the particle swarm algorithm to find the fitness function Z=f(ω i ,ω j ) the minimum severity weight vector W=[ω 1 ,ω 2 ,…ωn ], the optimal solution includes the following steps:
[0155] S431: Initialize N flying particles, and weight n severity ω i Use the position X of the flying particle id means, let the initial position of N flying particles be The initial speed is
[0156] S432: Set the initial position of the flying p...
Embodiment 3
[0165] This embodiment takes 67 transformers with relatively complete data in a certain area as objects, and uses the method of the present invention to carry out life analysis on them, investigates the fault conditions of these transformers since 2000, and obtains the short-circuit damage faults of transformer coils caused by various fault factors The specific data of the number of occurrences is shown in Table 1:
[0166] Table 1
[0167]
[0168] Generally speaking, the degree of damage caused by various fault factors to the transformer is not only related to the probability of their occurrence, but also related to the severity of the fault caused by this reason. According to the power transformer life analysis method based on risk assessment proposed by the present invention, the severity and risk coefficient of each fault factor of short-circuit damage can be obtained as follows:
[0169] ω=[0.1816 0 0.0004 0.0001 0 0.1694 0.1415 0.0652 0 0.0083 0.2835 0.1500]
[017...
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