Power grid operation and maintenance cost prediction method and prediction system

Abstract

The invention discloses a power grid operation and maintenance cost prediction method and prediction system. The method comprises the following steps: acquiring basic data related to the power grid operation and maintenance cost, wherein the basic data comprises the electricity consumption of the whole society, the GDP, the power consumption structure, the power grid valid asset net value, power transformation capacity, the line length, and the operation and maintenance cost; inputting the basic data acquired in the above step into a pre-established power grid operation and maintenance cost prediction model to compute, and outputting the expected power grid operation and maintenance cost. The power grid operation and maintenance cost prediction method and prediction system are used for predicting the operation and maintenance cost of the regional power grid, and can provide scientific data support for the power transmission and distribution cost checking, the power grid project feasibility research and post project evaluation and like works.

Description

technical field [0001] The invention relates to the technical field of grid cost forecasting, in particular to a grid operation and maintenance cost forecasting method and a forecasting system. Background technique [0002] The electric power industry is characterized by complex technology and capital-intensive. At present, the asset operation and maintenance management of power grid companies is relatively extensive. When determining the company’s operation and maintenance budget at the beginning of each year, it is usually determined by multiplying the asset size by a certain coefficient, and based on the previous year’s The operation and maintenance costs should be adjusted appropriately; this simple forecasting method ignores the influence of multi-factor coupling such as power grid asset status, social and economic factors, and enterprise management requirements, which directly leads to inaccurate prediction data of power grid operation and maintenance costs. Contents ...

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Problems solved by technology

[0002] The electric power industry is characterized by complex technology and capital-intensive. At present, the asset operation and maintenance management of power grid companies is relatively extensive. When determining the company’s operation and maintenance budget at the beginning of each year, it is usually determined by multiplying the asset size by a certain coefficient, and based on the previous year’s Properly adjust the operation and maintenance costs; this simple forecast method ignores the influence of multi-factor coupling such as power grid asset status, social and economic factors, and enterprise management requirements, which directly leads to inaccurate forecast data of power grid operation and maintenance costs

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