A Bayesian model-based multivariate power grid secondary fault probability estimation method
A technology of Bayesian model and failure probability, which is applied in computing, computer components, character and pattern recognition, etc., can solve the problems of secondary failures such as the degree of attention and insufficient research efforts, and achieve the reduction of blindness, accurate fault estimation, Probability of Failure Estimation Accurate Effect
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[0033] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments, so that those skilled in the art can understand the solution of the present invention more clearly, but the protection scope of the present invention is not limited thereby.
[0034] see figure 1 , a method for estimating the secondary fault probability of a multivariate power grid based on the Bayesian model of the present invention is carried out as follows:
[0035] Step 1. Establish a multivariate power grid fault set, and divide the faults into a secondary fault set, a conditional fault set, and a fault sample set;
[0036] Step 2. Carry out classification statistics on the fault samples in the fault sample set, and calculate the prior probability of fault occurrence;
[0037] Step 3. According to the Bayesian model, calculate the probability of secondary failure under conditional failure;
[0038] Step 4. Calculate the probabili...
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