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Low-voltage transformer area user-transformer membership checking method based on data driving

A low-voltage station area and affiliation technology, applied in the field of power transmission, can solve the problems of impact judgment, low accuracy of verification methods, and inaccurate measurement of power outage/recovery information by electricity meters.

Pending Publication Date: 2021-07-06
STATE GRID JIANGSU ELECTRIC POWER CO LTD MARKETING SERVICE CENT +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the actual situation is usually that the construction conditions of the stations within the power consumption area are different, and the level is uneven, and some users often use electricity in violation of regulations, which makes it difficult for power supply companies and station managers to achieve lean management of the station districts , it is also difficult to accurately provide an appropriate optimization method for high line loss rate
[0004] In addition, due to the rapid construction and development of the low-voltage distribution network, the relocation, line cutting, and capacity expansion of the station area will occur frequently, and the user's power consumption address will also change accordingly, which leads to the user table in the station area. When the affiliation relationship of transformers in Jihe District changes, it is difficult for the power consumption information collection system to capture or update the affiliation information in time, which further leads to abnormal power marketing data
Therefore, the uncertainty of the household-change relationship in the station area will directly affect the assessment and rectification of the line loss in the station area, trigger user measurement and bond disputes, and cause losses of social resources and corporate property
However, in the existing technology, the relationship between households and transformers in low-voltage station areas still adopts manual on-site inspections, etc., which is inefficient in verification and requires a large amount of manpower. It is impossible to accurately obtain changes in the relationship between households and transformers in real time.
The household-transformer relationship verification method based on power outage / recovery time, which has not been promoted on a large scale in the prior art, also has high requirements for the accuracy of the meter clock. Under the premise that the accuracy of some meter clocks cannot meet the test requirements, its verification The accuracy of the method is not high
At the same time, this method may also affect the judgment due to the inaccurate measurement of the power failure / resumption information by the meter

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  • Low-voltage transformer area user-transformer membership checking method based on data driving
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  • Low-voltage transformer area user-transformer membership checking method based on data driving

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Embodiment Construction

[0043] The application will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solutions of the present invention more clearly, but not to limit the protection scope of the present application.

[0044] The wide application of big data technology in the field of power system data is based on the massiveness, diversity and rapidity of power data, and its processing of multiple information is more direct and effective. Specifically, it is based on the data of the electricity consumption information collection system, uses various data mining techniques to obtain the hidden useful information, and achieves the purpose of diagnosing the abnormal line loss rate, thereby reducing the line loss rate and ensuring the safe and stable operation of the power grid , is a very practical technology at present.

[0045]The proposal and application of the ubiquitous power Internet of Things concept also p...

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Abstract

A low-voltage transformer area user-transformer membership relation checking method based on data driving is characterized by comprising the following steps of step 1, collecting transformer area operation data, and constructing an objective function and constraint conditions; step 2, solving transformer area electric quantity data based on a branch and bound algorithm; step 3, obtaining a user list of suspected errors of the user-transformer relation in the transformer area based on the electric quantity data of the transformer area; and step 4, generating an adjustment plan of the user-transformer relationship in the transformer area based on the user list. Based on the method provided by the invention, the user list of suspected user-transformer errors among multiple transformer areas and the adjustment direction of the user list can be calculated on the basis of the actual operation data of a power utilization information system, a marketing system, a PMS system and the like, and the field checking direction is determined on the system level, the problem of checking omission caused by difference of electricity utilization characteristics of users can be avoided, the workload of on-site checking can be effectively reduced, the efficiency of on-site checking is improved, and the checking cost is saved.

Description

technical field [0001] The present invention relates to the field of electric power transmission, and more specifically, relates to a data-driven low-voltage station household-substation affiliation checking method. Background technique [0002] As a comprehensive economic and technical index in the power transmission network, the line loss rate can be used to measure the operation level of power supply enterprises in various aspects such as technology, operation, measurement, power consumption management and business, so it is used as the main assessment to measure the level of power supply enterprises indicators are widely used. [0003] The relationship between households and transformers in low-voltage station areas is the basis for calculating the accuracy of line loss rate. Generally speaking, an accurate household-change relationship is the premise of providing a reasonable treatment plan for the abnormal line loss rate in the station area. However, the actual situa...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06F17/11G06F17/16
CPCG06F17/11G06F17/16G06Q10/06313G06Q50/06
Inventor 易永仙邵雪松周玉崔高颖吴伟将张德进仇新宇蔡奇新陈霄李悦马云龙庞金鑫陈飞
Owner STATE GRID JIANGSU ELECTRIC POWER CO LTD MARKETING SERVICE CENT
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