Classification method of seven-stage power grid asset groups based on sale associated equipment neurons

A technology for associating equipment and classification methods, used in data processing applications, instruments, computing, etc.

Inactive Publication Date: 2015-12-09
STATE GRID CORP OF CHINA +2
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

However, there is no report on the application of asset groups as evaluation units in the evaluation of economic benefits of enterprises.

Method used

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Embodiment Construction

[0051] A classification method for seven-level power grid asset groups based on sales-related equipment neurons, which is characterized by:

[0052] For the current grid power supply network type: 220kV is transmitted to end customers through 110kV, 35kV and 10kV four-level transformation and distribution, that is, multiple 110kV lines are output from the 220kV substation in the backbone network, and each 110kV line supports multiple 110kV substations; Multiple 35kV lines are output from the 110KV substation, and each 35kV line supports multiple 35kV substations; then multiple 10kV lines are output from the 35kV substation, and each 10kV line supports multiple 10kV substation platforms, which in turn can form asset groups of grades 1 to 7, Specifically include: first level: 220kV substation asset group, second level: 110kV line asset group, third level: 110kV substation asset group, fourth level: 35kV line asset group, fifth level: 35kV substation asset group, sixth level: 10kV...

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Abstract

The invention discloses a classification method of seven-stage power grid asset groups based on sale associated equipment neurons. For the types of power grid power supply networks at present, power is transmitted from 220KV through 110KV, 35KV and 10KV four-stage power transformation and distribution to terminal clients, and that is to say, a plurality of 110KV lines are output from a backbone network 220KV transformer substation, and each 110KV line supports a plurality of 110KV transformer substations; then a plurality of 35KV lines are output from a 110KV transformer substation, and each 35KV line supports a plurality of 35KV transformer substations; and finally, a plurality of 10KV lines are output from a 35KV transformer substation, each 10KV line supports a plurality of 10KV transformer substation districts, and one to seven stages of asset groups are formed in sequence. The classification method is convenient and scientific, and by adopting the classification method, the power grid asset division and the power grid asset management can be more scientific and effective.

Description

technical field [0001] The invention relates to a method for classifying power grid asset groups based on sales associated equipment neurons. Background technique [0002] Combine the economic benefits of power grid development with social responsibility, safety and stability, improve the production and operation benefits of power grid companies, evaluate the benefits of power grid assets with scientific and effective evaluation methods, make reasonable decisions on capital resource allocation, and create growth for power grid companies under the new situation In order to realize the new normal development of power grid enterprises. [0003] As a typical network economy, the power grid is a typical continuous production and integrated operation in the entire transmission, distribution and supply process. The biggest difficulty in evaluating its economic benefits lies in the income of a single node or local unit in the network (power sales, income etc.) cannot be measured in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/06
Inventor 王宏巍陈启忠陆晓冬曹伟新印凤华张春陈军吴晞晗李颖慧蔡忠豪
Owner STATE GRID CORP OF CHINA
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