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Voltage abnormal data mining and intelligent analysis system

An abnormal data and abnormal voltage technology is applied in the direction of visual data mining, electrical digital data processing, and data processing applications. Reliability, convenient maintenance, and the effect of improving maintenance efficiency

Inactive Publication Date: 2020-11-13
BENGBU POWER SUPPLY COMPANY STATE GRID ANHUI ELECTRIC POWER
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] Voltage is a basic indicator of power quality. Once a continuous voltage violation or abnormal situation occurs, the controller should quickly discover and find out the cause, and then prescribe the right medicine to restore the voltage to a normal level. However, the existing detection system cannot monitor the voltage. Rapid analysis of faults and timely processing of faults will have a negative impact on the safety of the power grid. Therefore, in view of the above status quo, it is urgent to develop a voltage anomaly data mining and intelligent analysis system to overcome the shortcomings in current practical applications.

Method used

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  • Voltage abnormal data mining and intelligent analysis system
  • Voltage abnormal data mining and intelligent analysis system

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Embodiment 1

[0024] see Figure 1-3 , in an embodiment of the present invention, a voltage abnormal data mining and intelligent analysis system includes a voltage data self-inspection module 1, an abnormal data export module 4, an abnormal data statistical analysis module 5, a database 6 and a fault repair module 7, the voltage The data self-inspection module 1 is used to detect whether the voltage value is abnormal, and the output terminal of the voltage data self-inspection module 1 is connected with the abnormal data export module 4, and the output terminal of the abnormal data export module 4 is used for recording and analyzing the abnormal data The abnormal data statistical analysis module 5 is connected, and the output terminals of the abnormal data statistical analysis module 5 are respectively connected with the database 6 and the fault repair module 7.

Embodiment 2

[0026] In this embodiment, the voltage data self-inspection module 1 includes a power supply voltage deviation calculation module 2 for calculating the power supply voltage deviation value and a voltage unbalance degree calculation module 3 for calculating the voltage unbalance degree.

[0027] In this embodiment, the calculation method of the deviation value of the supply voltage is:

[0028]

[0029] Excessive voltage deviation will shorten the life of electrical equipment, reduce the stability limit of the power system, and increase the operating cost of the power grid. The low-voltage operation of the power grid will increase the current of the line and transformer, and the active loss of the line and transformer winding is proportional to the square of the current. , Low voltage operation will greatly increase the active power loss and reactive power loss of the grid, increasing the cost of power supply.

[0030] In this embodiment, the voltage unbalance calculation me...

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Abstract

The invention relates to the field of voltage data management. The invention particularly relates to a voltage abnormal data mining and intelligent analysis system. The system comprises a voltage dataself-checking module, an abnormal data exporting module, an abnormal data statistical analysis module, a database and a fault repairing module. The voltage data self-checking module is used for detecting whether a voltage value is abnormal or not; the output end of the voltage data self-checking module is connected with the abnormal data exporting module; the output end of the abnormal data exporting module is connected with an abnormal data statistical analysis module for recording and analyzing abnormal data; the output end of the abnormal data statistical analysis module is connected withthe database and the fault repair module. According to the invention, a fault in a power grid can be rapidly detected, and the fault type is rapidly analyzed through the abnormal data statistical analysis module, so that maintenance personnel can maintain the fault conveniently, the maintenance efficiency is greatly improved, and the safety and reliability of the system are improved.

Description

technical field [0001] The invention relates to the field of voltage data management, in particular to a voltage abnormal data mining and intelligent analysis system. Background technique [0002] Voltage is what drives the directional movement of charges to form an electric current. The reason why current can flow in the wire is also because there is a difference between high potential and low potential in the current. This difference is called potential difference, also called voltage. in other words. In a circuit, the potential difference between any two points is called the voltage at those two points. [0003] Voltage is a basic indicator of power quality. Once a continuous voltage violation or abnormal situation occurs, the controller should quickly find out and find out the cause, and then prescribe the right medicine to restore the voltage to a normal level. However, the existing detection system cannot monitor the voltage. Rapid analysis of faults and timely pro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G06F16/26G06F16/2458G06F16/248
CPCG06Q10/0635G06Q50/06G06F16/26G06F16/2465G06F16/248Y04S10/50
Inventor 袁辉汪国苗胡昊崔广巍王开林朱明星孙智慧闫清波邵顺义郑宏宇郭阳王静陈涛刘道琼孙冰冰张豪杰汪淇谢丽松
Owner BENGBU POWER SUPPLY COMPANY STATE GRID ANHUI ELECTRIC POWER
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