Power industry low-voltage transformer area line loss analysis method and processing system based on big data

A technology in the power industry and low-voltage station area, applied in data processing applications, instruments, calculations, etc., and can solve problems such as extensive management

Inactive Publication Date: 2019-04-16
韩霞 +5
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] For this reason, it is necessary to provide a lean management based on power industry station area line loss to solve the problem of breaking the extensive management of station area line loss management

Method used

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  • Power industry low-voltage transformer area line loss analysis method and processing system based on big data
  • Power industry low-voltage transformer area line loss analysis method and processing system based on big data

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Embodiment Construction

[0036] The present invention will be further described below in conjunction with examples with reference to the accompanying drawings.

[0037] The lean management application of the line loss in the station area is analyzed based on the Hadoop open source technology framework, and the data storage and calculation are based on the Hadoop big data platform. Application data mainly comes from electricity consumption information collection system, marketing business application system, cost control system, collection operation and maintenance closed-loop management system, PMS system, State Grid business support system, etc., covering metering collection, business management, customer service, station area line 6 categories including loss, distribution transformer operation, and station area planning, 39 topics such as equipment abnormality, synchronous line loss, and power consumption anomaly, and 40 indicators such as voltage qualification rate, acquisition success rate, and thr...

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Abstract

The invention discloses a power industry low-voltage transformer area line loss analysis method based on big data. The method comprises the following steps: 1, extracting high-load loss and uncalculable transformer areas in synchronous line loss of an acquisition system to construct basic line loss archive data; 2, analyzing and collecting abnormal archive factors by combining the archive data ofthe collection system; 3, analyzing abnormal work order information by combining the work order data of the acquisition system; 4, combining the curve data of the acquisition system, and counting metering abnormal factors; 5, analyzing the abnormity of the electricity stealing factor by combining the power current curve data and related ammeter reporting events; 6, analyzing on-site wiring abnormity in combination with the current and power curves; and 7, carrying out line loss abnormal district intelligent diagnosis through various abnormal detail data, and collecting a feedback abnormal defect elimination result. The invention also discloses a related analysis processing system.

Description

technical field [0001] The invention relates to a line loss analysis method and a processing system of a low-voltage station area in the electric power industry based on big data. Background technique [0002] The station area is the end of the State Grid’s marketing management system. The current management of the station area places too much emphasis on professional division of labor, artificially causing professional barriers and data division in the management of the station area; Extensive, there is a lack of accurate and efficient data support for decision-making, investment, operation and maintenance, and service in the station area; high complaints, high trips, and high line loss are the primary problems that plague the managers of the station area. Paying more attention to the abnormal analysis of single indicators will not achieve the effect of completely solving the problem. The lean management of the station area is based on marketing big data, promoting the app...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/06375G06Q50/06
Inventor 韩霞谢振刚郭易鑫罗义钊程树英蒋海峰贺鹏远秦慧敏
Owner 韩霞
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