Low-voltage power grid topology big data identification method based on sudden load change
A low-voltage power grid and load mutation technology, applied in data processing applications, instruments, calculations, etc., can solve the problems of low-voltage power grid topology confusion and inability to automatically adjust the working state of transformers, and achieve the effect of convenient switching, popularization and use
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Embodiment 1
[0033] refer to figure 1 , the present embodiment provides a low-voltage power grid topology big data identification method based on sudden load changes, including the following steps:
[0034] S1: Enter the distribution map of the local regional grid usage, enter the peak value and minimum value of the local regional grid usage peak period on that day, mark the peak value as M, and mark the lowest value as N;
[0035] S2: Use the average value formula (M+N) / 2 to find the intermediate value B, and record the intermediate value of the power grid;
[0036] S3: Select a transformer for distribution, specifically including the following steps:
[0037] First, select a transformer first, and the rated power of the transformer is ≥ B;
[0038] Second, compare the relationship between B and M, calculate M / B and mark it as D, D is a positive number, and D transformers are selected to work;
[0039] Third, connect D+1 transformers in parallel through electromagnetic switches.
[00...
Embodiment 2
[0055] refer to figure 1 , a low-voltage power grid topology big data identification method based on sudden load changes, including the following steps:
[0056] S1: Enter the distribution map of the local regional grid usage, enter the peak value and minimum value of the local regional grid usage peak period on that day, mark the peak value as M, and mark the lowest value as N;
[0057] S2: Use the average value formula (M+N) / 2 to find the intermediate value B, and record the intermediate value of the power grid;
[0058] S3: Select a transformer for distribution, specifically including the following steps:
[0059] First, select a transformer first, and the rated power of the transformer is ≥ B;
[0060] Second, compare the relationship between B and M, calculate M / B and mark it as D, D is a positive number, and D transformers are selected to work;
[0061] Third, connect D+1 transformers in parallel through electromagnetic switches.
[0062] S4: Divide the local area into...
Embodiment 3
[0077] refer to figure 1 , a low-voltage power grid topology big data identification method based on sudden load changes, including the following steps:
[0078] S1: Enter the distribution map of the local regional grid usage, enter the peak value and minimum value of the local regional grid usage peak period on that day, mark the peak value as M, and mark the lowest value as N;
[0079] S2: Use the average value formula (M+N) / 2 to find the intermediate value B, and record the intermediate value of the power grid;
[0080] S3: Select a transformer for distribution, specifically including the following steps:
[0081] First, select a transformer first, and the rated power of the transformer is ≥ B;
[0082] Second, compare the relationship between B and M, calculate M / B and mark it as D, D is a positive number, and D transformers are selected to work;
[0083] Third, connect D+1 transformers in parallel through electromagnetic switches.
[0084] S4: Divide the local area in...
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