Optimization algorithm of low-voltage transformer area line loss neural network
A low-voltage station area and neural network technology, which is applied in the field of optimization algorithm of line loss neural network in low-voltage station area, can solve problems such as manual meter reading errors and omissions, mobilization of large manpower and material resources, and excessive gaps in line distribution to achieve line loss Calculation optimization, low computational complexity, and the effect of overcoming local optimum
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[0055] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0056]The optimization algorithm of the neural network for line loss in the low-voltage station area proposed by the present invention is used to analyze the characteristic parameters of the original low-voltage station area data, and calculate the line loss rate based on the characteristic parameters.
[0057] The specific steps of the optimization algorithm of the line loss neural network in the low-voltage station area are as follows:
[0058] 1) Preprocess the original distribution transformer side data and user side data of the low voltage station area to obtain the line loss characteristic index of the low voltage station area;
[0059] 2) Carry out cluster analysis on the data of the low-pressure station area, divide it into four classification samples, and use linear regression, r-tree, and K nearest neighbor algorithm to mode...
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