A Method for Improving the Confidence of Section Freezing Based on Natural Recognition
A technology of confidence and facets, applied in character and pattern recognition, data processing applications, instruments, etc., can solve problems such as mismatching and topological relationships that are not completely credible, and achieve the effect of short production time
Active Publication Date: 2021-12-14
JIANGSU INTELEVER ENERGY TECH CO LTD
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Problems solved by technology
Therefore, the result of natural identification and freezing is the result of topology identification in the station area. The original freezing method will cause mismatching, especially when the power consumption of users in the community is relatively similar, and the obtained topology relationship is not completely credible.
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[0028] The present invention is described in further detail now in conjunction with accompanying drawing. These drawings are all simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, so they only show the configurations related to the present invention.
[0029] Such as figure 1 As shown, the method for improving the confidence level of section freezing based on natural identification of the present invention includes the following steps:
[0030] S1: Perform natural topology identification and match according to the upper and lower terminal channels in units of "days"; the types of step matching include refrigerators, air conditioners and electric heaters, and the step time difference of the same step matching type is ±1s , The power difference is ±10%.
[0031] Electric heating appliances only change in active power when they are turned on and off, and reach stable power instantaneously within a few tenths ...
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The invention relates to a method for improving the confidence level of section freezing based on natural identification, and belongs to the technical field of smart grids. Including natural topology identification and matching according to the upper and lower terminal channels in units of "days"; screening out the optimal matching channel between the lower terminal and each upper terminal; Whether the number of optimal step matching is more than 3; calculate the step deviation degree and step identification, and screen out the lower-level terminals with the optimal step deviation degree greater than 65% and the optimal step identification ratio greater than 50%; Calculate again at intervals of days to determine whether the two calculation results are consistent; determine whether there is a change in the two steps, and if so, freeze the identification result of the lower-level terminal; if not, determine whether the total duration of natural identification is less than one week, if If yes, perform aspect freezing on the lower-level terminal. The generation time of the frozen section of the present invention is relatively short, and the confidence is high.
Description
technical field [0001] The invention relates to a method for improving the confidence level of section freezing based on natural identification, and belongs to the technical fields of smart grid and smart electricity utilization. Background technique [0002] In recent years, with the development of the economy, not only the demand for electricity has increased year by year. The demand for user energy visualization, comprehensive energy consumption reduction, and intelligent management of power grid peak shaving and valley filling is also constantly increasing. [0003] Based on this and the premise of easy promotion, non-intrusive load identification technology came out as the times require. It is the most advanced advanced measurement technology. It only needs to install the upper and lower smart terminals at the box transformer or the outlet cabinet and the meter box, and collect the voltage and current of the user's total incoming line through the upper and lower smart ...
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IPC IPC(8): G06Q10/06G06Q50/06G06K9/62
CPCG06Q10/06393G06Q50/06G06F18/22
Inventor 李莹莹戴聪卢雨亭邓士伟
Owner JIANGSU INTELEVER ENERGY TECH CO LTD