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Ground cooling water prediction method based on rainfall particle phase transition process

A technology of precipitation particles and prediction methods, applied in the field of power transmission and distribution, can solve the problems of failing to reflect the phase transition process of precipitation particles, prediction deviation of ground supercooled water, and insufficient analysis of specific characteristics, so as to achieve clear regulation and ensure safety and stability. Operational and practical effects

Active Publication Date: 2015-12-02
STATE GRID CORP OF CHINA +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the calculation of surface supercooled water based on this method is insufficient to analyze the specific characteristics of the cold and warm layers in the inversion layer, and fails to reflect the phase transition process of precipitation particles when passing through the warm and cold layers in the inversion layer , leading to deviations in the prediction of surface supercooled water
In addition, according to the monitoring of artificial ice observation whistle, when there is no inversion layer in the atmosphere, supercooled water still exists on the ground in high altitude areas, causing ice coating on power transmission lines

Method used

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  • Ground cooling water prediction method based on rainfall particle phase transition process
  • Ground cooling water prediction method based on rainfall particle phase transition process
  • Ground cooling water prediction method based on rainfall particle phase transition process

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0041] (1) Basic database construction.

[0042] Establish a basic database with the altitude data of the micro-topographic area and the basic information of the transmission line tower.

[0043] (2) Numerical mode calculation.

[0044] Using the WRF numerical model, design the parameter scheme, initial conditions and boundary conditions of the model operation, and predict the content of cloud water, rain water, cloud ice, snow and graupel in the atmosphere, the temperature field from the ground to the upper air at different levels, and the height of the cloud base.

[0045] (3) Altitude comparison.

[0046] At the same ground coordinate point, the cloud base height predicted by the numerical model in step (2) is compared with the altitude in the basic database established in step (1). It is judged that the height of the cloud base ≤ the altitude of the ground.

[0047] (6) Calculation of ground subcooling water content.

[0048] then from t 0 start at time, predict t 1 ...

example 2

[0053] Step (1), (2) with example 1

[0054] (3) Altitude comparison.

[0055] At the same ground coordinate point, the cloud base height predicted by the numerical model in step (2) is compared with the altitude in the basic database established in step (1). It is judged when the height of the cloud base > the altitude of the ground.

[0056] (4) Identification of temperature stratification.

[0057] It is judged that there is a 0°C layer in the temperature stratification from the ground to the cloud base, and the height of the 0°C layer is recorded as H. And it is satisfied that when the height is less than H, the atmospheric temperature is 0°C, which is recorded as a temperature inversion layer.

[0058] (5) Identification of ground supercooled water.

[0059] The temperature stratification in the micro-topography area satisfies the maximum temperature of the warm layer > 4°C, and the ground temperature is < 0°C. It is judged that the precipitation particles falling to th...

example 3

[0067] Step (1), (2), (3) are the same as example 2

[0068] (4) Identification of temperature stratification.

[0069] There is no 0°C layer in the temperature stratification from the ground to the cloud base, so it is judged that there is no supercooled water on the ground.

[0070] (6) Calculation of ground subcooling water content.

[0071] The ground subcooling water content is 0.

[0072] (7) Calculation of conductor ice thickness.

[0073] The wire ice thickness is 0.

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Abstract

The invention provides a ground cooling water prediction method based on a rainfall particle phase transition process, and the method comprises the following steps: 1, fundamental database construction; 2, numerical model calculation; 3, altitude comparison; 4, temperature stratification judgment; 5, grounding cooling water judgment; 6, grounding cooling water calculation; 7, wire icing thickness calculation. The beneficial effects of the invention are that 1, the method is clear, is high in operability, and fills a gap that there is currently no ground cooling water prediction based on the rainfall particle phase transition process; 2, the method is wide in application range, is good in portability, and can calculate the contents of ground cooling water of different regions and the wire icing thickness; 3, the ground cooling water obtained through calculation provides important reference basis for middle or short term data prediction in power grid icing.

Description

technical field [0001] The invention belongs to the technical field of power transmission and distribution, in particular to a method for predicting ground supercooled water based on the phase transition process of precipitation particles. Background technique [0002] In recent years, power grid ice disasters have occurred frequently around the world. For example, the ice disaster in the United States and Canada in 1998 caused power outages for 400,000 households and caused economic losses of 3.5 billion yuan. In 2008, the southern region of my country suffered a particularly severe freezing disaster. More than 1,300 towers of 220kV and above transmission lines collapsed, and the direct economic loss of the power grid was more than 10 billion yuan. The study found that ground supercooled water is one of the important reasons for the formation of ice disasters. Therefore, in order to improve the safety of the power grid in winter, it is urgent to carry out the prediction an...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCY02A90/10
Inventor 陆佳政冯涛张红先李波方针徐勋建
Owner STATE GRID CORP OF CHINA
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