Post-evaluation method of the construction effect of power distribution network project, based on BP neural network
A BP neural network and artificial neural network technology, applied in the field of distribution network, can solve problems such as too strong subjectivity, too one-sidedness, and strong subjectivity
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[0073] A post-evaluation method of distribution network project construction effect based on BP neural network, the steps are as follows: step S1, select a number of grassroots indicators reflecting the current situation of distribution network project construction effect, and establish an evaluation index system; figure 2 As shown, the evaluation index system includes first-level indicators and second-level indicators, the first-level indicators include power supply quality, network structure, power supply capacity and assembly level; the second-level indicators of power supply quality include power supply reliability and comprehensive voltage Pass rate; the secondary index of the network structure includes 10Kv line connection rate, 10Kv line average power supply radius, 10Kv line average segment number, 10Kv line N-1 pass rate and 380V line average segment number; described power supply capacity The secondary indicators include the heavy overload rate of 10Kv lines and the ...
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