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Five-level power grid asset classifying method based on sale associated equipment neurons

A classification method and a technology of associated equipment, applied in resources, data processing applications, instruments, etc.

Inactive Publication Date: 2015-11-25
STATE GRID CORP OF CHINA +2
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  • Description
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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

[0041] A classification method of five-level power grid asset groups based on sales-related equipment neurons. For the current grid power supply network type: from 220kV to 110kV directly down to 10kV three-level transformation and distribution to end customers, that is, from the backbone network to 220kV The substation outputs multiple 110kV lines, and each 110kV line supports multiple 110kV substations; and then outputs multiple 10kV lines from the 110KV substation, and each 10kV line supports multiple 10kV substation platforms, which in turn can form a first to fifth level asset group, specifically including : Level 1: 220kV substation asset group, Level 2: 110kV line asset group, Level 3: 110kV substation asset group, Level 4: 10kV line asset group, Level 5: 10kV station area asset group;

[0042] Each 10kV substation platform area constitutes the most basic asset group neuron. The 220kV substation asset group constitutes the highest level asset group in the system;

[00...

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Abstract

The invention discloses a five-level power grid asset classifying method based on sale associated equipment neurons. In a current power supply network of a power grid, power with a volt of 220 kV is reduced to 110kV and then directly reduced to 10kV. After the three levels of transformation, the power is distributed to users at the terminal. This means that a plurality of 110kV lines is outputted from a 220kV power transformer substation in a main power grid network and each 110 kV line supports a plurality of 110kV power transformer substations. And a plurality of 10kV lines is outputted from a 110 kV power transformer substation; each 10kV line supports a plurality of 10kV power transformer substations. In this way, a five-level asset group can be structured in order; technically, the group comprises a 220kV power transformer substation asset group (level 1), a 110kV line asset group (level 2), a 110kV power transformer substation asset group (level 3), a 10kV line asset group (level 4) and a 10kV power transformer asset group (level 5). The classifying method is a new method to conveniently and scientifically divide and classify power grid assets.

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): G06Q10/06G06Q50/06
Inventor 宋海燕陈启忠张春曹伟新王宏巍印凤华陆晓冬张璐彭玮成清华
Owner STATE GRID CORP OF CHINA
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