Distributed substation grounding grid detecting and evaluating method
A substation grounding grid, distributed technology, applied in the direction of fault location, etc., can solve the problems of correct evaluation of unfavorable grounding grid, heavy workload, etc., and achieve the effect of solving the requirements of real-time detection and status evaluation
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Embodiment 1
[0063] The invention is a distributed substation grounding grid detection and evaluation method, comprising the following steps:
[0064] Step 1: According to the design documents of the substation grounding grid, reverse the soil model in the substation and the power frequency grounding impedance value of the substation grounding grid;
[0065] The grounding grid soil model inversion in the step 1 is obtained according to the soil resistivity measurement data in the design file:
[0066] ρ=2πaU / I (1);
[0067] In formula (1): ρ is the soil resistivity; a is the distance between the two electrodes during the test; U is the potential difference between the two potential electrodes during the test; I is the test current. Calculate the relationship curve between the soil resistivity ρ and the electrode spacing a, and obtain the soil model of the site. The calculation of the characteristic parameters of the ground grid when a ground fault occurs in the substation is carried out ...
Embodiment 2
[0082] In step 5 of the present invention, the ART-2 type neural network is mainly divided into a network initialization stage and a comparison stage, and the method for realizing it can also be:
[0083] Step 5.1: According to the data calculated in Step 1-Step 3, establish the ART-2 type neural network, and initialize the connection weights to the characteristic parameters when the grounding grid is intact, and the characteristic parameters when the grounding grid nodes are severely corroded and broken, including Ground impedance, ground potential rise, step voltage, touch voltage, etc., and set the confidence threshold. The output of each fault point network has two states, the state is intact, and the grounding conductor is broken. If there are n fault points, the output neurons of the network are 2n; and the similarity threshold is set.
[0084] Step 5.2: According to the measurement data of the state monitoring device, simulate and calculate the characteristic parameters...
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