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A monitoring and early warning method in power grid operation based on gridded meteorological data

A technology for meteorological data, monitoring and early warning, applied in meteorology, weather condition forecasting, measuring devices, etc., can solve the problems of grid data quality impact and discontinuous spatial distribution of observation stations, so as to improve prediction accuracy and reduce data transmission The effect of volume and complexity reduction

Active Publication Date: 2022-01-04
EMERGENCY MANAGEMENT CENT OF STATE GRID SHANDONG ELECTRIC POWER
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

[0004] The data of ground observation stations have high reliability, but as far as China is concerned, the spatial distribution of observation stations is obviously discontinuous, showing a state of denseness in the east and sparseness in the west, which has a great impact on the quality of grid point data based on ground observations. influences

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  • A monitoring and early warning method in power grid operation based on gridded meteorological data
  • A monitoring and early warning method in power grid operation based on gridded meteorological data
  • A monitoring and early warning method in power grid operation based on gridded meteorological data

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Embodiment Construction

[0057] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0058] According to an embodiment of the present invention, a monitoring and early warning method based on gridded meteorological data in power grid operation is proposed, such as figure 1 As shown, the method includes:

[0059] Step 1): According to the GIS map of the province, a vectorized grid is formed, and the grid is an area with m*m as the unit;

[0060] Further, the value of m is 1KM, 2KM or 5KM.

[0061] Step 2): For the...

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Abstract

The present invention provides a monitoring and early warning method based on gridded meteorological data in power grid operation. The current data of meteorological observation points and the forecast data within n hours are associated with the grid. According to the meteorological data of each meteorological monitoring point, the meteorological data of each power grid facility is predicted by using the inverse distance weighting method. The sensor data of each power grid facility is used as the current weather data, and the sensors are checked and adjusted regularly to improve the accuracy of weather monitoring.

Description

technical field [0001] The invention relates to the technical field of disaster monitoring and early warning, in particular to a monitoring and early warning method in power grid operation based on gridded meteorological data. Background technique [0002] With the continuous in-depth application of grid meteorological data and the continuous improvement of the requirements for accurate data analysis, the existing point data format based on meteorological monitoring stations can no longer meet the increasing business application requirements. The power supply area of ​​the power system has increased, and meteorological factors The impact on the power system is not on the surface, but reflected on the point. Generally speaking, the geographical scope of the forecast area is relatively large. The main factors affecting the operation of power grid equipment in each sub-area in the forecast area are temperature and rainfall in various places. Circumstances are very different. ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01W1/10
CPCG01W1/10Y02A90/10
Inventor 孙世军刘伟生韩洪孙希珍朱保军李善武刘涛孙卫东张鹏王学亮毛志强
Owner EMERGENCY MANAGEMENT CENT OF STATE GRID SHANDONG ELECTRIC POWER