CN107942206B - GIS partial discharge positioning method - Google Patents
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Abstract
The invention relates to a GIS partial discharge online monitoring device which comprises an ultrasonic data acquisition unit, an ultrahigh frequency data acquisition unit, a data processor and a host computer, wherein the ultrasonic data acquisition unit is used for acquiring ultrasonic data; the invention discloses a GIS partial discharge positioning method; according to the method, the position of a GIS local discharge source is determined by comparing the time domain waveforms of the GIS local discharge ultrahigh-frequency signal and the ultrasonic signal and utilizing a time difference positioning method or an acoustoelectric combination time difference positioning method according to the time difference of the time domain waveform signal acquired by an electromagnetic wave sensor or a piezoelectric sensor; the method for positioning the position of the GIS partial discharge source by combining the ultrahigh frequency live detection technology and the ultrasonic live detection technology has the advantages of high positioning speed and accurate positioning precision.
Description
Technical Field
The invention belongs to the field of insulation defect detection of high-voltage electrical appliances, and relates to a GIS partial discharge positioning method.
Background
High-voltage switch equipment such as a Gas Insulated Switchgear (GIS) has the characteristics of stable operation, small occupied area, maintenance-free performance and the like, and is suitable for high-voltage substations in the center or edge areas of a city. However, during the manufacturing and assembling process of the device, some small defects such as metal particles, insulation air gaps, etc. are left inside the device due to process problems, etc., and these small defects may develop into dangerous discharge channels during the operation of the device and finally cause insulation accidents of the device. Partial discharges are an important sign and manifestation of an insulation failure. The partial discharge condition existing in the monitoring equipment can ensure enough reaction time, and the effective prediction and maintenance can be carried out on the power equipment.
At present, an ultrasonic method and an ultrahigh frequency method are two effective detection methods for detecting partial discharge of a switch device in operation, and have strong anti-interference capability and high sensitivity. In contrast, the ultrahigh frequency method is suitable for continuously monitoring equipment for a long time, and a manufacturer needs to build a sensing coupler in the equipment manufacturing process to ensure the measurement accuracy; if the field detection is carried out outside the GIS, the sensor can only be arranged at the insulation connection part of the GIS equipment, and if the distance of a signal source is long, the signal intensity is low, and the sensor is extremely easy to be interfered by various external electromagnetic signals. The ultrasonic method equipment is simple and convenient to use, can use the sensor to carry out defect location to the pointwise measurement of GIS equipment, is fit for carrying out live-line detection on the scene. Because the sensor can be arranged at any part of the metal shell of the switch device, the possible partial discharge part can be monitored online for a long time on the basis of basic detection.
The existing partial discharge on-line monitoring detector, such as the "gas insulated switchgear partial discharge on-line detection positioning device and positioning method" of chinese patent publication No. 100363748, is realized based on the principle of ultrahigh frequency, and the existing "transformer partial discharge positioning system and positioning method" (patent 201210193893.7) adopts two modes of ultrahigh frequency and ultrasonic wave for monitoring. The existing GIS partial discharge online detection system requires that sensors are fixedly installed on all GIS equipment in the whole power system, a large number of cables need to be laid to transmit signals obtained by the sensors to a monitoring center of each high-voltage transformer substation, data processing is carried out in the monitoring center, and therefore operation cost is increased for each high-voltage transformer substation. However, these monitoring systems can only perform the function of online monitoring, and the substation needs to separately purchase an office discharge detection device for routine inspection of the switchgear, which increases the operation cost of the substation.
Disclosure of Invention
The invention aims to provide a GIS partial discharge positioning method with high positioning speed and accurate positioning precision.
The technical scheme adopted for solving the technical problems is a GIS partial discharge positioning method; the GIS partial discharge online monitoring device used in the method comprises more than 1 ultrasonic data acquisition unit, more than 1 ultrahigh frequency data acquisition unit, a data processor and a host; the ultrasonic data acquisition unit is connected with the host through the data processor; the ultrahigh frequency data acquisition unit is connected with the host through the data processor;
the ultrasonic data acquisition unit comprises a piezoelectric sensor, an operational amplifier, an ultrasonic AD conversion module, an ultrasonic CPLD module and an ultrasonic data transmission bus; the piezoelectric sensor is arranged on the outer surface of the GIS shell; the output end of the piezoelectric sensor is connected with the corresponding input end of the data processor through an operational amplifier, an ultrasonic AD conversion module, an ultrasonic CPLD module and an ultrasonic data transmission bus in sequence;
the ultrahigh frequency data acquisition unit comprises an electromagnetic wave sensor, a high-pass filter, an ultrahigh frequency AD conversion module, an ultrahigh frequency CPLD module and an ultrahigh frequency data transmission bus; the electromagnetic wave sensor is arranged on the outer surface of the GIS basin-type insulator flange; the output end of the electromagnetic wave sensor is connected with the corresponding input end of the data processor through a high-pass filter, an ultrahigh frequency AD conversion module, an ultrahigh frequency CPLD module and an ultrahigh frequency data transmission bus in sequence;
the GIS partial discharge positioning method comprises the following steps:
(1) before GIS partial discharge, an ultrasonic data acquisition unit and an ultrahigh frequency data acquisition unit are used for respectively acquiring background noise signals and respectively sending the background noise signals to a data processor; the data processor stores the background noise signal;
(2) when partial discharge occurs in the GIS, the ultrahigh frequency data acquisition unit detects ultrahigh frequency electromagnetic signals generated by the GIS and sends the ultrahigh frequency electromagnetic signals to the data processor; meanwhile, the ultrasonic data acquisition unit detects ultrasonic signals generated by the GIS and sends the ultrasonic signals to the data processor;
(3) the data processor receives the ultrahigh frequency electromagnetic signal and the ultrasonic signal, and removes the same part of the ultrahigh frequency electromagnetic signal and the ultrasonic signal as the previously stored background noise signal, namely, the ultrahigh frequency electromagnetic signal and the ultrasonic signal are denoised; the data processor respectively sends the denoised ultrahigh frequency electromagnetic signal and the denoised ultrasonic signal to the host; the denoised ultrahigh frequency electromagnetic signal comprises the amplitude, the frequency, the period and the sending time of the ultrahigh frequency electromagnetic signal; the de-noised ultrasonic signal comprises the amplitude, frequency, period and sending time of the ultrasonic signal;
(4) inputting the position arrangement conditions of the on-site electromagnetic wave sensor and the piezoelectric sensor into an expert system built in a host; the expert system judges the number of the electromagnetic wave sensors capable of detecting the discharge signals, and when the number of the electromagnetic wave sensors capable of detecting the discharge signals is less than 2, the position arrangement of the electromagnetic wave sensors is adjusted until the number of the electromagnetic wave sensors detecting the discharge signals is not less than 2; the expert system judges the number of the piezoelectric sensors capable of detecting the discharge signals, and when the number of the piezoelectric sensors capable of detecting the discharge signals is less than 2, the position arrangement of the piezoelectric sensors is adjusted until the number of the piezoelectric sensors detecting the discharge signals is not less than 2;
(5) an expert system arranged in the host machine is combined with the position arrangement conditions of the on-site electromagnetic wave sensor and the piezoelectric sensor to obtain the GIS local discharge source positioning;
the positioning method of the expert system comprises the following steps:
(1) an expert system arranged in the host machine compares the amplitude of the ultrahigh frequency electromagnetic signal, and the measuring point with the larger amplitude is judged to be closer to the position of the discharge source; comparing the amplitude of the ultrasonic signal by an expert system arranged in the host, and judging that the measuring point with larger amplitude is closer to the position of a discharge source;
(2) an expert system arranged in the host machine determines 2 electromagnetic wave sensors closest to the discharge source position by comparing the amplitude of the ultrahigh frequency electromagnetic signals, and records the time difference of the ultrahigh frequency electromagnetic signals measured by the 2 electromagnetic wave sensors closest to the discharge source position; calculating the distance between the GIS local discharge source and the electromagnetic wave sensor by using a time difference positioning method according to the time difference of the ultrahigh frequency electromagnetic signals, determining the position of the GIS local discharge source and marking the electromagnetic wave sensor closest to the GIS local discharge source as a nearest electromagnetic wave sensor;
(3) an expert system arranged in the host machine determines 2 piezoelectric sensors closest to the discharge source position by comparing the amplitude of the ultrasonic signals, and records the time difference of the ultrasonic signals detected by the 2 piezoelectric sensors; according to the time difference of the ultrasonic signals, calculating the distance between the GIS local discharge source and the ultrasonic sensor by using a time difference positioning method, determining the position of the GIS local discharge source, and recording the piezoelectric sensor closest to the GIS local discharge source as the closest piezoelectric wave sensor;
(4) comparing whether the position of the GIS partial discharge source determined in the step (2) is the same as the position of the GIS partial discharge source determined in the step (3), and if so, determining the position as the position of the GIS partial discharge source;
(5) and if the positions of the positioned GIS local discharge sources are different, determining the position of the GIS local discharge source by using an acoustoelectric joint time difference positioning method according to the time difference between the ultrahigh-frequency electromagnetic signal detected by the nearest electromagnetic wave sensor and the ultrasonic signal detected by the nearest piezoelectric sensor.
The calculation formula of the time difference positioning method is as follows; the distance between the GIS partial discharge source and the nearest piezoelectric sensor is the axial distance between 2 piezoelectric sensors, the transmission rate of the ultrasonic signal is the transmission rate of the ultrasonic signal, and the time difference of the 2 piezoelectric sensors receiving the discharge signal is obtained.
The calculation formula of the time difference positioning method is as follows; the distance between the GIS partial discharge source and the nearest piezoelectric sensor is the axial distance between 2 piezoelectric sensors, the transmission rate of the ultrasonic signal is the transmission rate of the ultrasonic signal, and the time difference of the 2 piezoelectric sensors receiving the discharge signal is obtained.
The calculation formula of the sound-electricity combined time difference positioning method is as follows; the distance between the GIS partial discharge source and the nearest piezoelectric sensor is the transmission rate of the ultrasonic signal, and is the time difference between the nearest electromagnetic wave sensor and the nearest piezoelectric sensor when the discharging signal is received.
The invention has the beneficial effects that: according to the method, the position of a GIS partial discharge source is determined by a time difference positioning method or an acoustoelectric combination time difference positioning method according to the time difference of time domain waveform signals collected by 2 electromagnetic wave sensors or 2 piezoelectric sensors or 1 electromagnetic wave sensor and 1 piezoelectric sensor by comparing the time domain waveforms of GIS partial discharge ultrahigh frequency signals and ultrasonic signals; the method for positioning the position of the GIS partial discharge source by combining the ultrahigh frequency live detection technology and the ultrasonic live detection technology has the advantages of high positioning speed and accurate positioning precision.
Drawings
Fig. 1 is a schematic block diagram of a GIS partial discharge online monitoring device.
Fig. 2 is a flowchart of a GIS partial discharge positioning method.
Detailed Description
As can be seen from the embodiment shown in FIG. 1, it comprises more than 1 ultrasonic data acquisition unit, more than 1 UHF data acquisition unit, a data processor and a host; the ultrasonic data acquisition unit is connected with the host through the data processor; the ultrahigh frequency data acquisition unit is connected with the host through the data processor.
The ultrasonic data acquisition unit comprises a piezoelectric sensor, an operational amplifier, an ultrasonic AD conversion module, an ultrasonic CPLD module and an ultrasonic data transmission bus; the piezoelectric sensor is arranged on the outer surface of the GIS shell; the output end of the piezoelectric sensor is connected with the corresponding input end of the data processor through an operational amplifier, an ultrasonic AD conversion module, an ultrasonic CPLD module and an ultrasonic data transmission bus in sequence.
The ultrahigh frequency data acquisition unit comprises an electromagnetic wave sensor, a high-pass filter, an ultrahigh frequency AD conversion module, an ultrahigh frequency CPLD module and an ultrahigh frequency data transmission bus; the electromagnetic wave sensor is arranged on the outer surface of the GIS basin-type insulator flange; the output end of the electromagnetic wave sensor is connected with the corresponding input end of the data processor through a high-pass filter, an ultrahigh frequency AD conversion module, an ultrahigh frequency CPLD module and an ultrahigh frequency data transmission bus in sequence.
The number of the ultrasonic data acquisition units is 7; the number of the ultrahigh frequency data acquisition units is 4.
The model of the data processor is TMS320F 2812; the model of the host is IPC-620H; the type of the piezoelectric sensor is R3I; the model of the operational amplifier is AD 8610; the model of the ultrasonic AD conversion module is TLV 5580; the model of the ultrasonic CPLD module is FLEX10 KA; the type of the ultrasonic data transmission bus is I2C; the model of the electromagnetic wave sensor is PDS-620W; the model of the high-pass filter is HHP 0300S; the model of the ultrahigh frequency AD conversion module is TLV 5580; the model of the ultrahigh frequency CPLD module is FLEX10 KA; the model of the ultrahigh frequency data transmission bus is I2C.
As can be seen from the embodiment shown in fig. 2, it comprises the following steps:
(1) before GIS partial discharge, an ultrasonic data acquisition unit and an ultrahigh frequency data acquisition unit are used for respectively acquiring background noise signals and respectively sending the background noise signals to a data processor; the data processor stores the background noise signal;
(2) when partial discharge occurs in the GIS, the ultrahigh frequency data acquisition unit detects ultrahigh frequency electromagnetic signals generated by the GIS and sends the ultrahigh frequency electromagnetic signals to the data processor; meanwhile, the ultrasonic data acquisition unit detects ultrasonic signals generated by the GIS and sends the ultrasonic signals to the data processor;
(3) the data processor receives the ultrahigh frequency electromagnetic signal and the ultrasonic signal, and removes the same part of the ultrahigh frequency electromagnetic signal and the ultrasonic signal as the previously stored background noise signal, namely, the ultrahigh frequency electromagnetic signal and the ultrasonic signal are denoised; the data processor respectively sends the denoised ultrahigh frequency electromagnetic signal and the denoised ultrasonic signal to the host; the denoised ultrahigh frequency electromagnetic signal comprises the amplitude, the frequency, the period and the sending time of the ultrahigh frequency electromagnetic signal; the de-noised ultrasonic signal comprises the amplitude, frequency, period and sending time of the ultrasonic signal;
(4) inputting the position arrangement conditions of the on-site electromagnetic wave sensor and the piezoelectric sensor into an expert system built in a host; the expert system judges the number of the electromagnetic wave sensors capable of detecting the discharge signals, and when the number of the electromagnetic wave sensors capable of detecting the discharge signals is less than 2, the position arrangement of the electromagnetic wave sensors is adjusted until the number of the electromagnetic wave sensors detecting the discharge signals is not less than 2; the expert system judges the number of the piezoelectric sensors capable of detecting the discharge signals, and when the number of the piezoelectric sensors capable of detecting the discharge signals is less than 2, the position arrangement of the piezoelectric sensors is adjusted until the number of the piezoelectric sensors detecting the discharge signals is not less than 2;
(5) and an expert system arranged in the host machine is combined with the position arrangement condition of the on-site electromagnetic wave sensor and the piezoelectric sensor to obtain the GIS local discharge source positioning.
The positioning method of the expert system comprises the following steps:
(1) an expert system arranged in the host machine compares the amplitude of the ultrahigh frequency electromagnetic signal, and the measuring point with the larger amplitude is judged to be closer to the position of the discharge source; comparing the amplitude of the ultrasonic signal by an expert system arranged in the host, and judging that the measuring point with larger amplitude is closer to the position of a discharge source;
(2) an expert system arranged in the host machine determines 2 electromagnetic wave sensors closest to the discharge source position by comparing the amplitude of the ultrahigh frequency electromagnetic signals, and records the time difference 9 of the ultrahigh frequency electromagnetic signals measured by the 2 electromagnetic wave sensors closest to the discharge source position; calculating the distance between the GIS local discharge source and the electromagnetic wave sensor by using a time difference positioning method according to the time difference of the ultrahigh frequency electromagnetic signals, determining the position of the GIS local discharge source and marking the electromagnetic wave sensor closest to the GIS local discharge source as a nearest electromagnetic wave sensor;
(3) an expert system arranged in the host machine determines 2 piezoelectric sensors closest to the discharge source position by comparing the amplitude of the ultrasonic signals, and records the time difference of the ultrasonic signals detected by the 2 piezoelectric sensors; according to the time difference of the ultrasonic signals, calculating the distance between the GIS local discharge source and the ultrasonic sensor by using a time difference positioning method, determining the position of the GIS local discharge source, and recording the piezoelectric sensor closest to the GIS local discharge source as the closest piezoelectric wave sensor;
(4) comparing whether the position of the GIS partial discharge source determined in the step (2) is the same as the position of the GIS partial discharge source determined in the step (3), and if so, determining the position as the position of the GIS partial discharge source;
(5) and if the positions of the positioned GIS local discharge sources are different, determining the position of the GIS local discharge source by using an acoustoelectric joint time difference positioning method according to the time difference between the ultrahigh-frequency electromagnetic signal detected by the nearest electromagnetic wave sensor and the ultrasonic signal detected by the nearest piezoelectric sensor.
The calculation formula of the time difference positioning method is as follows; the distance between the GIS partial discharge source and the nearest piezoelectric sensor is the axial distance between 2 piezoelectric sensors, the transmission rate of the ultrasonic signal is the transmission rate of the ultrasonic signal, and the time difference of the 2 piezoelectric sensors receiving the discharge signal is obtained.
The calculation formula of the time difference positioning method is as follows; the distance between the GIS partial discharge source and the nearest piezoelectric sensor is the axial distance between 2 piezoelectric sensors, the transmission rate of the ultrasonic signal is the transmission rate of the ultrasonic signal, and the time difference of the 2 piezoelectric sensors receiving the discharge signal is obtained.
The calculation formula of the sound-electricity combined time difference positioning method is as follows; the distance between the GIS partial discharge source and the nearest piezoelectric sensor is the transmission rate of the ultrasonic signal, and is the time difference between the nearest electromagnetic wave sensor and the nearest piezoelectric sensor when the discharging signal is received.
The high-pass filtering unit is used for receiving electromagnetic wave signals generated by partial discharge, and converting the electromagnetic wave signals into electric signals after high-pass filtering to output. The high-pass filtering unit is a high-pass filter, and the cutoff frequency is 300 MHz.
The ultrahigh frequency signal data and the ultrasonic signal data of each group are connected with a DSP data processor through a data transmission bus, and the DSP data processor further performs denoising and sampling analysis on the transmitted data and stores the data in an SDRAM memory. The host reads the data in the SDRAM through the HPI interface, and performs signal detection, identification and partial positioning by using built-in software. The expert system built in the host computer can also give final positioning and risk assessment for comprehensive analysis of the data.
The GIS partial discharge online monitoring system provided by the invention can also output data through a USB interface, and can also transmit the data to the existing electric power online monitoring system through a wireless data transmission module for grid-connected monitoring.
Claims (4)
1. A GIS partial discharge positioning method is characterized in that: the GIS partial discharge online monitoring device used in the method comprises more than 1 ultrasonic data acquisition unit, more than 1 ultrahigh frequency data acquisition unit, a data processor and a host; the ultrasonic data acquisition unit is connected with the host through the data processor; the ultrahigh frequency data acquisition unit is connected with the host through the data processor;
the ultrasonic data acquisition unit comprises a piezoelectric sensor, an operational amplifier, an ultrasonic AD conversion module, an ultrasonic CPLD module and an ultrasonic data transmission bus; the piezoelectric sensor is arranged on the outer surface of the GIS shell; the output end of the piezoelectric sensor is connected with the corresponding input end of the data processor through an operational amplifier, an ultrasonic AD conversion module, an ultrasonic CPLD module and an ultrasonic data transmission bus in sequence;
the ultrahigh frequency data acquisition unit comprises an electromagnetic wave sensor, a high-pass filter, an ultrahigh frequency AD conversion module, an ultrahigh frequency CPLD module and an ultrahigh frequency data transmission bus; the electromagnetic wave sensor is arranged on the outer surface of the GIS basin-type insulator flange; the output end of the electromagnetic wave sensor is connected with the corresponding input end of the data processor through a high-pass filter, an ultrahigh frequency AD conversion module, an ultrahigh frequency CPLD module and an ultrahigh frequency data transmission bus in sequence;
the GIS partial discharge positioning method comprises the following steps:
(1) before GIS partial discharge, an ultrasonic data acquisition unit and an ultrahigh frequency data acquisition unit are used for respectively acquiring background noise signals and respectively sending the background noise signals to a data processor; the data processor stores the background noise signal;
(2) when partial discharge occurs in the GIS, the ultrahigh frequency data acquisition unit detects ultrahigh frequency electromagnetic signals generated by the GIS and sends the ultrahigh frequency electromagnetic signals to the data processor; meanwhile, the ultrasonic data acquisition unit detects ultrasonic signals generated by the GIS and sends the ultrasonic signals to the data processor;
(3) the data processor receives the ultrahigh frequency electromagnetic signal and the ultrasonic signal, and removes the same part of the ultrahigh frequency electromagnetic signal and the ultrasonic signal as the previously stored background noise signal, namely, the ultrahigh frequency electromagnetic signal and the ultrasonic signal are denoised; the data processor respectively sends the denoised ultrahigh frequency electromagnetic signal and the denoised ultrasonic signal to the host; the denoised ultrahigh frequency electromagnetic signal comprises the amplitude, the frequency, the period and the sending time of the ultrahigh frequency electromagnetic signal; the de-noised ultrasonic signal comprises the amplitude, frequency, period and sending time of the ultrasonic signal;
(4) inputting the position arrangement conditions of the on-site electromagnetic wave sensor and the piezoelectric sensor into an expert system built in a host; the expert system judges the number of the electromagnetic wave sensors capable of detecting the discharge signals, and when the number of the electromagnetic wave sensors capable of detecting the discharge signals is less than 2, the position arrangement of the electromagnetic wave sensors is adjusted until the number of the electromagnetic wave sensors detecting the discharge signals is not less than 2; the expert system judges the number of the piezoelectric sensors capable of detecting the discharge signals, and when the number of the piezoelectric sensors capable of detecting the discharge signals is less than 2, the position arrangement of the piezoelectric sensors is adjusted until the number of the piezoelectric sensors detecting the discharge signals is not less than 2;
(5) an expert system arranged in the host machine is combined with the position arrangement conditions of the on-site electromagnetic wave sensor and the piezoelectric sensor to obtain the GIS local discharge source positioning;
the positioning method of the expert system comprises the following steps:
(1) an expert system arranged in the host machine compares the amplitude of the ultrahigh frequency electromagnetic signal, and the measuring point with the larger amplitude is judged to be closer to the position of the discharge source; comparing the amplitude of the ultrasonic signal by an expert system arranged in the host, and judging that the measuring point with larger amplitude is closer to the position of a discharge source;
(2) an expert system arranged in the host machine determines 2 electromagnetic wave sensors closest to the discharge source position by comparing the amplitude of the ultrahigh frequency electromagnetic signals, and records the time difference of the ultrahigh frequency electromagnetic signals measured by the 2 electromagnetic wave sensors closest to the discharge source position; calculating the distance between the GIS local discharge source and the electromagnetic wave sensor by using a time difference positioning method according to the time difference of the ultrahigh frequency electromagnetic signals, determining the position of the GIS local discharge source and marking the electromagnetic wave sensor closest to the GIS local discharge source as a nearest electromagnetic wave sensor;
(3) an expert system arranged in the host machine determines 2 piezoelectric sensors closest to the discharge source position by comparing the amplitude of the ultrasonic signals, and records the time difference of the ultrasonic signals detected by the 2 piezoelectric sensors; according to the time difference of the ultrasonic signals, calculating the distance between the GIS local discharge source and the ultrasonic sensor by using a time difference positioning method, determining the position of the GIS local discharge source, and recording the piezoelectric sensor closest to the GIS local discharge source as the closest piezoelectric wave sensor;
(4) comparing whether the position of the GIS partial discharge source determined in the step (2) is the same as the position of the GIS partial discharge source determined in the step (3), and if so, determining the position as the position of the GIS partial discharge source;
(5) and if the positions of the positioned GIS local discharge sources are different, determining the position of the GIS local discharge source by using an acoustoelectric joint time difference positioning method according to the time difference between the ultrahigh-frequency electromagnetic signal detected by the nearest electromagnetic wave sensor and the ultrasonic signal detected by the nearest piezoelectric sensor.
2. The GIS partial discharge positioning method according to claim 1, wherein the calculation formula of the time difference positioning method is
(ii) a Wherein
The distance between the GIS partial discharge source and the nearest electromagnetic wave sensor,
the axial distance between the 2 electromagnetic wave sensors,
for the transmission rate of the ultra high frequency electromagnetic signal,
the time difference of the discharge signals received by the 2 electromagnetic wave sensors is shown.
3. The GIS partial discharge positioning method according to claim 1, wherein the calculation formula of the time difference positioning method is
(ii) a Wherein
The distance between the GIS partial discharge source and the nearest piezoelectric sensor,
the axial distance between the 2 piezoelectric sensors,
as the transmission rate of the ultrasonic wave signal,
the time difference of the discharge signals received by the 2 piezoelectric sensors is shown.
4. The GIS partial discharge positioning method according to claim 1, wherein the calculation formula of the acoustoelectric joint time difference positioning method is
(ii) a Wherein
The distance between the GIS partial discharge source and the nearest piezoelectric sensor,
as the transmission rate of the ultrasonic wave signal,
the time difference between the latest electromagnetic wave sensor and the latest piezoelectric sensor receiving the discharge signal.
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| CN112858845A (en) * | 2020-12-25 | 2021-05-28 | 华电电力科学研究院有限公司 | Partial discharge diagnosis method for gas insulated switchgear |
| CN113391176A (en) * | 2021-07-29 | 2021-09-14 | 广东电网有限责任公司 | GIS partial discharge intelligent monitoring device based on edge calculation |
| CN113608156A (en) * | 2021-08-06 | 2021-11-05 | 云南电网有限责任公司丽江供电局 | False alarm investigation system and judgment method of GIS ultrahigh frequency partial discharge online monitoring device |
| CN113589116B (en) * | 2021-08-11 | 2024-06-04 | 山东通广电子股份有限公司 | Method and system for detecting partial discharge position |
| CN116973702B (en) * | 2023-07-31 | 2024-04-05 | 上海莫克电子技术有限公司 | Signal identification method and system applied to GIS partial discharge test |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102243289A (en) * | 2011-06-20 | 2011-11-16 | 国网电力科学研究院 | Method and apparatus for partial discharge detection of high-voltage electrical power equipment with hardware anti-interference utilization |
| CN102435922A (en) * | 2011-10-26 | 2012-05-02 | 上海交通大学 | Acoustic-electric combined detection system and positioning method for GIS (Gas Insulated Switchgear) local discharge |
| CN103884956A (en) * | 2014-03-25 | 2014-06-25 | 上海局放软件技术有限公司 | Device and method for positioning partial discharge of high-voltage equipment through oscilloscope |
| CN104459493A (en) * | 2014-12-16 | 2015-03-25 | 江苏宝亨新电气有限公司 | Switch cabinet partial discharge on-line monitoring system |
| CN104808124A (en) * | 2015-04-30 | 2015-07-29 | 国家电网公司 | Acoustic-electric combined positioning method of switch cabinet local discharge fault positions |
| CN106841939A (en) * | 2016-12-23 | 2017-06-13 | 西安交通大学 | The portable acoustoelectric combined detection means of GIS partial discharge and its detection method |
-
2017
- 2017-10-16 CN CN201710957045.1A patent/CN107942206B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102243289A (en) * | 2011-06-20 | 2011-11-16 | 国网电力科学研究院 | Method and apparatus for partial discharge detection of high-voltage electrical power equipment with hardware anti-interference utilization |
| CN102435922A (en) * | 2011-10-26 | 2012-05-02 | 上海交通大学 | Acoustic-electric combined detection system and positioning method for GIS (Gas Insulated Switchgear) local discharge |
| CN103884956A (en) * | 2014-03-25 | 2014-06-25 | 上海局放软件技术有限公司 | Device and method for positioning partial discharge of high-voltage equipment through oscilloscope |
| CN104459493A (en) * | 2014-12-16 | 2015-03-25 | 江苏宝亨新电气有限公司 | Switch cabinet partial discharge on-line monitoring system |
| CN104808124A (en) * | 2015-04-30 | 2015-07-29 | 国家电网公司 | Acoustic-electric combined positioning method of switch cabinet local discharge fault positions |
| CN106841939A (en) * | 2016-12-23 | 2017-06-13 | 西安交通大学 | The portable acoustoelectric combined detection means of GIS partial discharge and its detection method |
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