CN108717152A - A kind of GIS partial discharge localization method based on interval statistics algorithm - Google Patents

A kind of GIS partial discharge localization method based on interval statistics algorithm Download PDF

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Publication number
CN108717152A
CN108717152A CN201810312256.4A CN201810312256A CN108717152A CN 108717152 A CN108717152 A CN 108717152A CN 201810312256 A CN201810312256 A CN 201810312256A CN 108717152 A CN108717152 A CN 108717152A
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China
Prior art keywords
signal
interval statistics
statistics algorithm
period
time difference
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CN201810312256.4A
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Chinese (zh)
Inventor
高常海
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BAODING HUACHUANG ELECTRIC Co Ltd
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BAODING HUACHUANG ELECTRIC Co Ltd
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Priority to CN201810312256.4A priority Critical patent/CN108717152A/en
Publication of CN108717152A publication Critical patent/CN108717152A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
    • G01R31/1227Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
    • G01R31/1254Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of gas-insulated power appliances or vacuum gaps

Abstract

The invention discloses a kind of GIS partial discharge localization methods based on interval statistics algorithm, mainly comprise the steps of:1) sensor arrangement, two extra-high video sensors can detect discharge signal simultaneously.2) it uses dual channel high speed acquisition system to acquire signal, is filtered, amplifies etc. processing before sampling to signal.3) high-speed AD sampled value is carried out data aggregate, to complete data quickly transmission and operation.4) continuous acquisition N (N>0) original signal data of a power frequency period, and high speed of polymerization is carried out to a large amount of original signal data of each period.5) time difference of the synchronous all aggregated datas in two channels is calculated, the maximum probability time difference in N number of period is counted according to positioning accuracy interval statistics algorithm, shelf depreciation source position is determined using the distance after maximum probability time differential conversion, utilize interval statistics algorithm, simple and convenient easy to operate, electrification positions, and locating speed is fast and accurate, it can accomplish that early discovery is early to prevent, reduce accident.

Description

A kind of GIS partial discharge localization method based on interval statistics algorithm
Technical field
The present invention relates to technical field localization method technical field, in particular to a kind of GIS based on interval statistics algorithm Partial discharge positioning method, this method are mainly used in GIS detecting discharge signal using extra-high video sensor and carrying out part putting Electricity positioning.
Background technology
In the power equipment to put into operation, insulation fault accounting highest in power failure type.Insulation fault causes The generation of shelf depreciation, shelf depreciation can aggravate insulation degradation degree, once breakdown, may cause electric power accident.Therefore, it detects Can be particularly important to orientation discharge source in time after to shelf depreciation, accurately positioning Partial Discharge Sources can carry with a definite target in view Electric power accident caused by preventing insulation degradation for maintenance position, saves human cost, reduces the generation of electric power accident.
Localization method emerges one after another at present, and in GIS still using common localization method in the detection method of superfrequency It is the localization method based on the time difference.Domestic a large amount of scholar improves the method based on the time difference.Its basic thought It still it is the time difference that multiple sensors are reached by calculating electromagnetic wave, simultaneous solution time difference equation group is passing through space search So that it is determined that shelf depreciation source position.Simple is larger using Mintrop wave arrival time calculating error, and the present invention is first to high-speed AD Sampled data carries out data aggregate, is then expanded time difference positioning mode using interval statistics algorithm, compares at present Digital method accuracy is high.
Invention content
The technical problem to be solved by the present invention is to overcome the defect of above-mentioned technology, provide a kind of based on interval statistics algorithm GIS partial discharge localization method.
In order to solve the above technical problems, technical solution provided by the invention is a kind of GIS offices based on interval statistics algorithm Portion's breakdown location method is mainly used for shelf depreciation in superfrequency detection GIS, includes the following steps:
1), shelf depreciation is detected in the different location that can receive discharge signal using two extra-high video sensors.
2) signal, is acquired using dual channel high speed acquisition system, sampling rate for each channel reaches 2.5GS/s, in high speed acquisition It is preceding the processing such as to be filtered, amplify to signal.
3) high-speed AD sampled value, is carried out data aggregate, to complete data quickly transmission and operation.
4), continuous acquisition N (N>0) original signal data of a power frequency period, and to a large amount of original signal of each period Data carry out high speed of polymerization.
5) time difference for, calculating the synchronous all aggregated datas in two channels, N number of period is counted most according to interval statistics algorithm The maximum probability time difference determines shelf depreciation source position using the distance after maximum probability time differential conversion.
After above method, the invention has the advantages that:By it was verified that the present invention localization method, utilize Interval statistics algorithm, simple and convenient easy to operate, electrification positioning, locating speed is fast and accurate, saves human cost, can accomplish early discovery It is early to prevent, reduce accident.
Description of the drawings
Fig. 1 is the method for the present invention superfrequency sensor layout schematic diagram.
Fig. 2 is positioning principle flow chart of the present invention.
As shown in the figure:1, Partial Discharge Sources, 2, first external extra-high video sensors, 3, second external superfrequency sensings Device, 4, GIS shells, 5, GIS internal high voltage conductors.
Specific implementation mode
Present invention will be described in further detail below with reference to the accompanying drawings.
In conjunction with attached drawing, a kind of GIS partial discharge localization method based on interval statistics algorithm is mainly used for superfrequency detection Shelf depreciation in GIS, includes the following steps:
1), shelf depreciation is detected in the different location that can receive discharge signal using two extra-high video sensors.
2) signal, is acquired using dual channel high speed acquisition system, sampling rate for each channel reaches 2.5GS/s, in high speed acquisition It is preceding the processing such as to be filtered, amplify to signal.
3) high-speed AD sampled value, is carried out data aggregate, to complete data quickly transmission and operation.
4), continuous acquisition N (N>0) original signal data of a power frequency period, and to a large amount of original signal of each period Data carry out high speed of polymerization.
5) time difference for, calculating the synchronous all aggregated datas in two channels, N number of period is counted most according to interval statistics algorithm The maximum probability time difference determines shelf depreciation source position using the distance after maximum probability time differential conversion.
The present invention in the specific implementation, as shown in Figure 1, present invention is mainly used for extra-high video sensor detect GIS in part It discharges and is positioned, the arrangement of extra-high video sensor is as shown in Figure 1, include Partial Discharge Sources 1, at disc insulator First external extra-high video sensor 2, second external extra-high video sensor 3, GIS shells 4, GIS internal high voltage conductors 5.? When scene carries out discharge examination, single extra-high video sensor can be arranged at disc insulator, waits for that the sensor receives determination Discharge signal after, arrange that another extra-high video sensor, the sensor also have received electric discharge letter at nigh disc insulator Number, after ensuring that two extra-high video sensors receive discharge signal, it is switched to station-keeping mode acquisition signal.As shown in Fig. 2, from The discharge signal that two extra-high video sensors receive the conventional treatments such as is amplified initial discharge signal, filters, through data Acquisition system by high-speed AD acquisition and polymerize processing, is quickly transferred to PC terminals progress location Calculation to complete data, continuously Acquire N (N>0) original signal data of a power frequency period, and it is poly- to carry out high speed to a large amount of original signal data of each period It closes, calculates the time difference of the synchronous all aggregated datas in two channels, N number of period is counted most according to positioning accuracy interval statistics algorithm The maximum probability time difference determines shelf depreciation source position using the distance after maximum probability time differential conversion.
The present invention and its embodiments have been described above, this description is no restricted, shown in attached drawing Only one of embodiments of the present invention, actual structure is not limited to this.All in all if the ordinary skill of this field Personnel are enlightened by it, without departing from the spirit of the invention, are not inventively designed and the technical solution phase As frame mode and embodiment, be within the scope of protection of the invention.

Claims (1)

1. a kind of GIS partial discharge localization method based on interval statistics algorithm, it is characterised in that include the following steps:
1), shelf depreciation is detected in the different location that can receive discharge signal using two extra-high video sensors.
2) signal, is acquired using dual channel high speed acquisition system, sampling rate for each channel reaches 2.5GS/s, right before high speed acquisition Signal such as is filtered, amplifies at the processing.
3) high-speed AD sampled value, is carried out data aggregate, to complete data quickly transmission and operation.
4), continuous acquisition N (N>0) original signal data of a power frequency period, and to a large amount of original signal data of each period Carry out high speed of polymerization.
5) time difference for, calculating the synchronous all aggregated datas in two channels counts the most general of N number of period according to interval statistics algorithm The rate time difference determines shelf depreciation source position using the distance after maximum probability time differential conversion.
CN201810312256.4A 2018-04-09 2018-04-09 A kind of GIS partial discharge localization method based on interval statistics algorithm Pending CN108717152A (en)

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CN201810312256.4A CN108717152A (en) 2018-04-09 2018-04-09 A kind of GIS partial discharge localization method based on interval statistics algorithm

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Application Number Priority Date Filing Date Title
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CN110208667A (en) * 2019-07-10 2019-09-06 江苏利得智能监测科技有限公司 GIS equipment partial discharge localization method based on time switch technology
CN115166413A (en) * 2022-06-27 2022-10-11 上海格鲁布科技有限公司 Double-end compensation positioning method, device and system for GIL partial discharge source

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CN115166413A (en) * 2022-06-27 2022-10-11 上海格鲁布科技有限公司 Double-end compensation positioning method, device and system for GIL partial discharge source

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Application publication date: 20181030