Weather forecast system for power production

Abstract

The invention discloses a weather forecast system for power production. The weather forecast system comprises a data layer, a logic layer and an application layer; meteorological monitoring data is processed by using a business service module and an analysis model module, conventional meteorological forecast information is firstly obtained, and then electric power professional downscaling numerical meteorological forecast information is obtained by using a power transmission line power downscaling method; wind damage forecast information and galloping forecast information are obtained by combining power grid GIS data, power grid PMS data and power transmission and transformation line monitoring data on the basis of power professional downscaling numerical weather forecast information; electric power professional meteorological disasters are accurately focused, local surface features and near-surface meteorological factor data are accurately obtained, and forecasting and early warning of the electric power meteorological disasters are effectively achieved; related forecasting and early warning are based on conventional meteorological products and electric power professional conventional meteorological products, and an effective correlation model between meteorological related power grid disasters or faults and meteorological factors is established, so that meteorological disaster effective early warning oriented to power grid risks is realized.

Description

Technical field [0001] The present invention relates to the field of grid meteorological monitoring, and more particularly to a weather forecasting system for electricity production. Background [0002] As the scale of the grid is expanding, meteorological changes have become the main factor affecting the construction of power grid construction and safety. Welcome to the summer, the winter often brings the peak of the grid, often brought hidden dangers, lightning, heavy rain, wind, haze, frozen rain, snow, etc., etc., and the ultra-inferior haze, frozen rain, blizzard, etc. may lead to large equipment facilities. An area of ​​power outage, extreme meteorological disaster has a huge destructive grid system. If you can monitor early warning meteorological disasters and safety risks in advance, take effective prevention measures before the disaster, you can reduce meteorological disasters to the minimum damage to grid equipment. [0003] In the prior art, the weather forecasting sys...

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Problems solved by technology

[0004] (1) Since many meteorological-related power disasters, such as galloping, wind disasters, pollution flashovers, and lightning strikes, are closely related to local surface characteristics and near-surface meteorological factors, only conventional weather forecasts or industry-specific numerical meteorology are used Forecast products, due to the lack of accurate local data or targeted optimization data, cannot effectively realize the forecast and early warning of these disasters;

[0005] (2) The forecast and early warning still remain at the level of meteorological products, or the weather forecast and early warning of the location of the power grid equipment. There is no effective correlation model between weather-related power grid disasters or failures and meteorological factors, and it is impossible to predict such disasters. Effective early warning of failures or faults, let alone early warning of power grid risks on the basis of early warning of such equipment;

[0006] (3) The existing weather monitoring locations are limited, some weather-related disasters or power grid equipment failures cannot achieve closed-loop management, which also affects the data accumulation and model validity verification of weather-related fault models, and it is imperative to explore new monitoring and feedback methods. Must do

[0007] (4) The existing forecast and early warning system lacks the evaluation of early warning results

[0008] The electric power meteorological early warning system is aimed at electric power infrastructure projects and equipment maintenance. The degree of integration of weather forecast data and forecast technology with power production information is not high. The depth and breadth of research cannot meet the practical needs of power production, and there is a lack of weather forecast for power production. Therefore, a weather forecast system for power production is proposed, which can further promote the basic research work of power meteorology, improve the service level of power grid weather forecast and early warning, and promote weather forecast technology to play a greater role in the power production process.

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