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A prediction method of low-voltage users in distribution network based on meteorological characteristic factors

A technology of characteristic factor and prediction method, which is applied in the field of power distribution network to achieve the effect of simple operation, improved prediction accuracy and convenient engineering application.

Active Publication Date: 2022-08-05
STATE GRID FUJIAN ELECTRIC POWER CO LTD +2
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Therefore, the existing methods are based on the indirect prediction of some feature quantities
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  • A prediction method of low-voltage users in distribution network based on meteorological characteristic factors
  • A prediction method of low-voltage users in distribution network based on meteorological characteristic factors
  • A prediction method of low-voltage users in distribution network based on meteorological characteristic factors

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Embodiment Construction

[0029] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0030] see figure 1 The present invention provides a method for predicting the number of low-voltage users of a distribution network based on meteorological characteristic factors, comprising the following steps:

[0031] Step 1: Acquire the historical number of low-voltage users of the distribution network in the area to be predicted according to a certain time and spatial resolution, and simultaneously acquire the historical meteorological monitoring data of all automatic weather stations in the area.

[0032] Among them, the low-voltage user refers to the voltage level of 10 kV and below, the three-phase power supply voltage deviation of 10 kV and below is lower than 7% of the nominal voltage, and the single-phase power supply voltage deviation is lower than 10% of the nominal voltage. user.

[0033] In this embodiment, the tempora...

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Abstract

The invention relates to a method for predicting the number of low-voltage users of a distribution network based on meteorological characteristic factors. The historical meteorological monitoring data of all automatic weather stations in the area; 2. Perform dimension matching processing on the number of low-voltage users with different temporal and spatial resolutions and the meteorological monitoring data to obtain the set of meteorological feature factors with the same temporal and spatial resolution and The number of low-voltage users, construct a training sample set; 3. Based on the training sample set, establish a prediction model for the number of low-voltage users with the meteorological feature factor set as the input and the number of low-voltage users as the output; 4. Use the obtained prediction model to predict The number of low-voltage users of the distribution network in the area to be predicted. This method is beneficial to predict the number of low-voltage users in the distribution network simply, efficiently and accurately.

Description

technical field [0001] The invention belongs to the field of electric power distribution network, in particular to a method for predicting the number of low-voltage users of a distribution network based on meteorological characteristic factors. Background technique [0002] The distribution network is an important part of the power system, and it is a power network that directly supplies power to users. The safe, reliable and stable operation of the distribution network is related to whether the power system can provide users with high-quality power supply and service quality. The phenomenon of low voltage in the distribution network is a manifestation of the insufficient power supply capacity of the distribution network, which is prone to occur in rural areas. With the increasing number of household appliances and agricultural equipment in rural areas, low voltage is more likely to occur during peak hours of electricity consumption. Predicting the low voltage problem of t...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04H02J3/00
CPCH02J3/003H02J2203/10H02J2203/20
Inventor 王永明陈宇星殷自力张功林张振宇高源罗翔王健舒胜文陈超
Owner STATE GRID FUJIAN ELECTRIC POWER CO LTD