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Power grid disaster risk assessment method and device based on strong precipitation space-time distribution characteristics

A technology for risk assessment and power grid disasters, applied in data processing applications, instruments, calculations, etc., can solve problems such as single research area, unfavorable disaster risk zoning, and no consideration of precipitation

Pending Publication Date: 2020-01-24
STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST +2
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The existing power grid disaster risk zoning technology has the following problems: China's current national standards for the design of transmission lines mainly involve atmospheric temperature, wind speed, icing and lightning, and precipitation is not considered, and heavy precipitation may also cause serious damage to the power grid. Disasters, which mainly involve three types of rain and flash accidents, equipment flooding and mechanical failures. If the power grid is designed and reconstructed during construction, the meteorological department will provide accurate microclimate data along the power grid, which will help determine the design standards for lines and towers and construction requirements, and most of the previous research work only focused on heavy rain, and seldom involved the impact of short-term heavy precipitation on the disaster risk of the power grid. The research area is relatively single, which is not conducive to the overall disaster risk zoning

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  • Power grid disaster risk assessment method and device based on strong precipitation space-time distribution characteristics
  • Power grid disaster risk assessment method and device based on strong precipitation space-time distribution characteristics
  • Power grid disaster risk assessment method and device based on strong precipitation space-time distribution characteristics

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Embodiment 1

[0094] This embodiment provides a power grid disaster risk assessment method based on the temporal and spatial distribution characteristics of heavy precipitation, including the following steps:

[0095] Step 1: Based on the precipitation data of various locations in a specific area, calculate the risk of hazards;

[0096] Step 2: Calculate the hazard-forming environmental sensitivity based on the terrain elevation data of each site;

[0097] Step 3: Based on the power supply and power consumption data of each location, calculate the vulnerability of the disaster-affected body;

[0098] Step 4: Based on the per capita GDP data of the counties and cities where each site is located, calculate the disaster prevention and resilience capacity;

[0099] Step 5: According to the risk of disaster-causing factors in steps 1-4, the sensitivity of disaster-forming environment, the vulnerability of disaster-bearing bodies, and the ability to prevent and resist disasters, the power grid h...

Embodiment 2

[0128] This embodiment provides a power grid disaster risk assessment device based on the temporal and spatial distribution characteristics of heavy precipitation, including:

[0129] Hazardous factor calculation module: based on the precipitation data of each location in a specific area, calculate the risk of the hazard factor;

[0130] Calculation module of disaster-forming environment sensitivity: calculate the sensitivity of disaster-forming environment based on the terrain elevation data of each site;

[0131] Hazard-affected body vulnerability calculation module: Calculate the hazard-affected body vulnerability based on the power supply and power consumption data of each location;

[0132] Disaster prevention and resilience calculation module: based on the per capita GDP data of the counties and cities where each site is located, calculate the disaster prevention and resilience capability;

[0133] Power grid heavy precipitation disaster risk index calculation module: A...

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Abstract

The invention relates to a power grid disaster risk assessment method and device based on strong precipitation space-time distribution characteristics. Rainfall data of a specific area is adopted. Data such as power supply quantity, whole society power consumption, per capita domestic production total value (GDP), high-resolution terrains and water systems and the like are used. On the basis of comprehensively considering the risk of disaster-causing factors (rainstorm and short-time heavy rainfall), sensibility of hazard inducing environment (terrains and river systems), vulnerability of disaster-bearing bodies (power supply quantity and power consumption quantity) and disaster prevention and resistance (per capita GDP). By utilizing the zoning method provided by the invention, a plurality of high-risk areas of the power grid heavy rainfall disasters in a specific area can be identified, and scientific meteorological information can be provided for power grid design, maintenance and decision service.

Description

technical field [0001] The application belongs to the related technical field of power grid disaster risk zoning, and specifically relates to a power grid disaster risk assessment method and device based on the temporal and spatial distribution characteristics of heavy precipitation. Background technique [0002] China is one of the countries in the world with a large frequency of rainstorm weather, the degree of influence, and the scope of influence. The disasters caused by local heavy rainfall, especially in a short period of time, are also very serious. Specific areas across the Haihe River, The four basins of the Yellow River, Yangtze River, and Huaihe River include the Taihang Mountains, Funiu Mountains, Tongbai Mountains-Dabie Mountains, Nanyang Basin, and the Huanghuaihai Plain. The weather system is complex, and the temporal and spatial distribution of precipitation is uneven. The torrential rain caused many reservoirs such as Banqiao Reservoir to cross dams, causing...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/0635G06Q50/06Y04S10/50
Inventor 梁允李哲王晓芳刘善峰王津宇汪晓康李帅王婧羽崔晶晶赖安伟苑司坤崔春光高阳
Owner STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST