An abnormal identification method of power grid voltage measurement based on distance correlation coefficient

A technology of correlation coefficient and power grid voltage, applied in electrical components, circuit devices, complex mathematical operations, etc., can solve the problems of increasing equipment, power grid influence, passive mode, and low identification accuracy, to improve safe and stable economic operation, prevent The effect of electricity metering losses

Active Publication Date: 2020-12-29
STATE GRID SICHUAN ELECTRIC POWER CORP ELECTRIC POWER RES INST
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The technical problem to be solved by the present invention is that the existing power system uses a passive regular maintenance method to detect the voltage transmission accuracy of the voltage transformer in the substation and then judge the abnormality of the voltage transformer. The loss of electricity metering caused by "sick operation" of voltage transformers and unplanned power outages in substations will increase the impact on equipment and power grids; the invention provides a method for identifying abnormalities in power grid voltage measurement based on distance correlation coefficients that solves the above problems Method, the present invention designs a new grid voltage measurement anomaly identification method, which uses the distance correlation coefficient between the voltage data of the same voltage level and different dimensions in the substation to realize the abnormal state identification of voltage transmission, and realizes no power outage, no maintenance, no maintenance Install hardware and apply existing grid voltage data to find slight abnormalities in voltage transformer CVT measurement 4-6 months in advance, which can prevent electricity metering losses caused by "sick operation" and unplanned power outages in substations, and reduce equipment, The influence of the power grid helps inspection personnel track and grasp the development trend of defects and hidden dangers, proactively replace or repair defective equipment during power outages, avoid equipment and power grid unsafe incidents, and promote the CVT accuracy inspection of voltage transformers from "passive regular maintenance" to "active research and judgment" Maintenance" transformation, effectively improving the safe and stable economic operation of the power grid

Method used

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  • An abnormal identification method of power grid voltage measurement based on distance correlation coefficient
  • An abnormal identification method of power grid voltage measurement based on distance correlation coefficient
  • An abnormal identification method of power grid voltage measurement based on distance correlation coefficient

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Embodiment

[0054] Such as figure 1 As shown in the present invention, a grid voltage measurement abnormality identification method based on the distance correlation coefficient comprises the following steps:

[0055] S1: Form historical voltage data file F1 from the historical voltage data collected by the grid voltage data acquisition system; historical voltage data file F1 includes the same substation, different intervals, the same voltage level, and the same phase (A phase or B phase or C phase) Voltage data Among them, t1 represents the time scale, and the value range is T1 is the time length of the F1 file; sam is the sampling interval of the grid voltage data acquisition system; i is the different intervals of the same voltage level of the substation, the value range is 1≤i≤B, and B is the total number of intervals of the same voltage level of the substation;

[0056] S2: According to step S1, calculate the voltage data in the historical voltage data file F1 by using the Min di...

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Abstract

The invention discloses a power grid voltage measurement abnormity identification method based on a distance correlation coefficient, and the method comprises the steps of automatically calculating adistance correlation coefficient matrix among a plurality of intervals through a given multi-dimensional voltage historical data file F1 at the same voltage level, and learning to find out a thresholdvalue for identifying the abnormity of voltage measurement data; calculating a distance correlation coefficient matrix among a plurality of intervals by utilizing the to-be-identified voltage data file F2; and judging a voltage measurement data state in the new multi-dimensional voltage data file by combining a threshold value which is automatically learned by utilizing historical voltage data and is used for identifying the abnormity of the voltage measurement data, thereby realizing the voltage measurement and transmission state identification of a transformer substation voltage transformer, a secondary transmission and transformation loop and a measurement and control device. According to the invention, the slight measurement abnormality of the voltage transformer can be discovered inadvance by applying the existing power grid voltage data without power failure, maintenance and hardware installation, and the identification precision is high.

Description

technical field [0001] The invention relates to the technical field of grid voltage measurement abnormality identification, in particular to a grid voltage measurement abnormality identification method based on a distance correlation coefficient. Background technique [0002] The transmission process of grid voltage measurement data goes through the process of converting primary voltage to secondary voltage and collecting and redistributing secondary voltage. The specific process is as follows. Among them, the transmission and transformation process of the voltage transformer is the weak link where slight abnormalities in voltage measurement occur. [0003] Potential transformers are the source equipment for converting large voltages into small voltages in power systems, and are physically divided into primary windings and secondary windings. The primary winding is connected to the primary system of the power system, and the secondary winding is connected to the secondary s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J13/00G06F17/16
CPCG06F17/16H02J13/00001H02J13/00002H02J13/00034Y02E60/00Y04S10/16
Inventor 吴杰苏少春刘明忠李世龙龙呈张华韩睿罗荣森吴晓晖李旭旭宋梁甄威丁宣文聂鸿宇王红梅冷代军苏学能
Owner STATE GRID SICHUAN ELECTRIC POWER CORP ELECTRIC POWER RES INST
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