Particle swarm principle-based power distribution network data preprocessing method adopting big data clustering
A technology for data preprocessing and distribution network, applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve problems such as inconsistent conclusions, achieve fast convergence speed, good noise removal effect, and overcome the tendency to fall into The effect of local extrema
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[0083] According to the method described in this patent, random data collection is carried out according to the data sources of the distribution line online monitoring system and the intelligent public distribution transformer monitoring system. There are 962 samples in total. In the same interval [0,1], participate in classification with the same magnitude, that is, perform normalization processing, and merge data from multiple sources into a consistent database storage.
[0084] Take the average value of the k-th dimension data of n samples first and standard deviation C,
[0085]
[0086] This gives the normalized value x of the original data ik ':
[0087]
[0088] Using Matlab programming, the curve calculated by the bending moment method is as follows figure 1 shown in .
[0089] Using Matlab programming, the curve calculated by the concave-convex coefficient method is as follows figure 2 shown in .
[0090] It can be seen that the maximum N value of the co...
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