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Method for forecasting the operation and maintenance costs of distribution network of artificial neural network

An artificial neural network, operation and maintenance technology, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve problems such as complex action mechanisms

Inactive Publication Date: 2017-09-22
STATE GRID ZHEJIANG ELECTRIC POWER COMPANY ECONOMIC TECHN INST +3
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Problems solved by technology

However, the distribution network operation and maintenance fee is affected by many factors such as society, economy, policy, and resources, and the mechanism of each factor is complex, which makes it difficult to express the relationship between the distribution network operation and maintenance fee and the influencing factors in a linear manner.

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  • Method for forecasting the operation and maintenance costs of distribution network of artificial neural network
  • Method for forecasting the operation and maintenance costs of distribution network of artificial neural network
  • Method for forecasting the operation and maintenance costs of distribution network of artificial neural network

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specific Embodiment approach

[0029] Aiming at the operation and maintenance costs of power grid enterprises, the present invention constructs an artificial neural network distribution network operation and maintenance fee prediction method based on gray correlation analysis, so that the power grid enterprises can accurately and reasonably estimate the operation and maintenance costs, which is convenient for the grid enterprises to effectively manage and Control grid operation and maintenance costs. The specific implementation method comprises the following steps:

[0030] 1) Analysis of the gray relational degree of influencing factors of distribution network operation and maintenance costs: Gray relational analysis is used to extract the main influencing factors of distribution network operation and maintenance costs from the factor library, which are used as input variables of the artificial neural network;

[0031] 2) Selection of artificial neural network distribution network operation and maintenance...

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Abstract

The invention discloses an artificial neural network distribution network operation and maintenance fee prediction method. The current distribution network operation and maintenance fee is affected by various factors such as society, economy, policy, resources, etc., and the mechanism of each factor is complex, making it difficult to express the relationship between the distribution network operation and maintenance fee and the influencing factors in a linear manner. The present invention includes: 1) gray correlation degree analysis of influencing factors of distribution network operation and maintenance fee: adopt gray correlation analysis to extract the main influencing factors of distribution network operation and maintenance fee from factor library, and use it as an input variable of artificial neural network; 2) artificial neural network Selection of network distribution network operation and maintenance fee prediction model; 3) Artificial neural network distribution network operation and maintenance fee prediction based on gray correlation analysis. Therefore, the present invention can accurately and reasonably estimate the operation and maintenance cost of the distribution network, which is convenient for the power grid enterprise to effectively manage and control the operation and maintenance cost of the power grid.

Description

technical field [0001] The invention belongs to the technical field of power grid operation cost forecasting, and relates to a gray correlation analysis-based forecasting method for distribution network operation and maintenance costs of an artificial neural network. Background technique [0002] The distribution network operation and maintenance fee is an important part of the production and operation of the power grid enterprise. In order to use the funds optimally, it is necessary to accurately and reasonably estimate the distribution network operation and maintenance fee. However, the operation and maintenance fee of the distribution network is affected by various factors such as society, economy, policy, and resources, and the mechanism of each factor is complex, which makes it difficult to express the relationship between the operation and maintenance fee of the distribution network and the influencing factors in a linear manner. Contents of the invention [0003] Th...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/08G06Q50/06
CPCG06N3/08G06N3/04G06Q50/06
Inventor 于晓彦朱国荣陆晓芬叶玲节文凡徐旸刘福炎杨云露成飞盛跃峰
Owner STATE GRID ZHEJIANG ELECTRIC POWER COMPANY ECONOMIC TECHN INST
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