Transformer standby method based on state monitoring and reliability criteria
A transformer and reliability technology, applied in the field of transformer backup based on condition monitoring and reliability criteria, can solve the problem of not being able to accurately assess the reliability of the transformer and the risk of the system, not considering the actual state of the transformer, ignoring the use time of the transformer, and the operating conditions. and operating environment
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Embodiment 1
[0073] see figure 1 , a transformer backup method based on condition monitoring and reliability criteria, mainly includes the following steps:
[0074] 1) Get transformer data.
[0075] The transformer data mainly includes measured data of transformer state monitoring quantities, weighting coefficients of transformer state monitoring quantities, transformer aging failure parameters, average repair time of transformers, and average failure frequency of transformers.
[0076] The transformer aging failure parameters mainly include transformer service age parameters, aging failure rate model parameters and retirement age parameters.
[0077] 2) Calculate the transformer aging index.
[0078] The main steps to calculate the transformer aging index are as follows:
[0079] 2.1) Record the measured data set of the condition monitoring quantity of the i-th transformer as X=[x i1 , x i2 ,...,x ij ,...,x if ]. Record the weighting coefficient set of the jth state monitoring qua...
Embodiment 2
[0135] An experiment to verify a transformer backup method based on condition monitoring and reliability criteria mainly includes the following steps:
[0136] 1) Enter all required parameters, including:
[0137] Input the number of transformers n=22 of a power company X transformer group, and the measured data x of the i-th transformer f=6 state monitoring quantities ij and weighting factor w j , where i=1,2,…,n, n is the number of transformers, j=1,2,…,f, f is the number of state monitoring quantities, and the weighting coefficient w j As shown in Table 1:
[0138] Table 1 Weighting coefficient w of state monitoring quantity j
[0139] j j=1 j=2 j=3 j=4 j=5 j=6 Weighting factor w j
62.69 52.02 40.53 30.61 56.17 53.56
[0140] Input the service age parameter I of n=22 transformers i ,As shown in table 2:
[0141] Table 2 Transformer Service Age Parameters I i
[0142]
[0143] Input transformer aging failure rate model parameters...
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