Substation flood prevention capability assessment method based on live data

A technology based on live data and substations, applied in the direction of specific mathematical models, fuzzy logic-based systems, data processing applications, etc., can solve the problem of comprehensive analysis of substation water storage capacity, drainage capacity, and precipitation prediction information, which cannot meet the needs of substation equipment. Flood control risk situation prediction, real-time performance is not enough to support problems, etc.

Pending Publication Date: 2022-04-01
STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] First, when carrying out the flood control risk classification of substations with different voltage levels, factors such as the geographical environment, hydrological characteristics, and rainstorm distribution characteristics around the substation are not fully considered;
[0004] Second, the flood control work during the peak summer season is often carried out passively based on management and operation experience. At present, the evaluation of substation flood control capabilities is mainly achieved by static evaluation of engineering methods and empirical methods, and its real-time performance is not enough to support the current Lean management requirements;
[0005] Third, at present, most substation flood control online monitoring devices use a single, old visual observation method, which can only monitor the precipitation in the substation, without comprehensive analysis of the substation's water storage capacity, drainage capacity, and precipitation forecast information , which cannot meet the requirements of forecasting the flood risk situation of substation equipment
In order to effectively carry out substation flood control management, most substations use flood control on-line monitoring devices as auxiliary devices for flood control management, but the existing substation flood control on-line monitoring devices do not provide much data and information, and cannot provide information for the realization of specific work goals. more protection

Method used

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  • Substation flood prevention capability assessment method based on live data
  • Substation flood prevention capability assessment method based on live data
  • Substation flood prevention capability assessment method based on live data

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Embodiment Construction

[0061] The application will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solutions of the present invention more clearly, but not to limit the protection scope of the present application.

[0062] Such as figure 1 As shown, a kind of substation flood control capability assessment method based on live data of the present invention comprises the following steps:

[0063] Step 1: Divide the categories of substation flood influencing factors and establish a multi-dimensional influencing factor system;

[0064] In the specific implementation, the factors affecting the substation flood situation are divided into disaster-forming environmental factors, disaster-causing factors, and hazard-bearing body factors.

[0065] The disaster-forming environmental factors include climatic conditions, topography, soil vegetation, hydrological conditions, and hidden dangers of torrents and debris flows...

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Abstract

The invention discloses a transformer substation flood prevention capability assessment method based on live data. The method comprises the steps that a multi-dimensional influence factor system is established; establishing a numerical value quantification model of the occupied area and the safe ponding depth based on a multi-dimensional influence factor system; constructing a risk level evaluation model; acquiring actual flood situation influence factor data; based on the risk level assessment model, obtaining a preliminary risk assessment level, and performing preliminary allocation of flood prevention materials; obtaining the real-time safe operation ponding depth of the power transformation equipment based on the numerical value quantification model of the occupied area and the safe ponding depth; calculating the real-time accumulated water depth of the transformer substation; and comparing the real-time accumulated water depth of the transformer substation with the safe operation accumulated water depth of the transformer equipment to evaluate the flood prevention capacity of the transformer substation. According to the invention, the flood prevention capability and risk real-time sensing capability of the transformer substation are improved, and the scientific configuration level of flood prevention materials, personnel and equipment is improved.

Description

technical field [0001] The invention belongs to the technical field of power grid disaster prevention and reduction, and relates to a substation flood prevention capability evaluation method based on live data. Background technique [0002] As an important facility for the operation and production of the power grid, the normal operation of the substation is a necessary condition for ensuring safe and reliable power supply. If the flood control work is not done properly, it will have a great impact on the normal operation of the substation. Therefore, doing a good job in flood control is an important part of ensuring the safe and normal power supply of substations. In the process of substation operation and management, the flood control work mainly has the following problems: [0003] First, when carrying out the flood control risk classification of substations with different voltage levels, factors such as the geographical environment, hydrological characteristics, and rain...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G06N7/00G06N7/02
CPCY02A10/40Y04S10/50
Inventor 王超梁允李哲卢明张小斐王晓辉兰光宇苑司坤高阳李帅王津宇田杨阳刘善峰饶宇飞耿进锋贺翔杨磊谭磊耿俊成陈岑
Owner STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST
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