[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

CN1580795A - Capacitive power equipment medium loss on-line monitoring method and device - Google Patents

Capacitive power equipment medium loss on-line monitoring method and device Download PDF

Info

Publication number
CN1580795A
CN1580795A CN 200410026133 CN200410026133A CN1580795A CN 1580795 A CN1580795 A CN 1580795A CN 200410026133 CN200410026133 CN 200410026133 CN 200410026133 A CN200410026133 A CN 200410026133A CN 1580795 A CN1580795 A CN 1580795A
Authority
CN
China
Prior art keywords
mrow
msub
signal
power equipment
math
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN 200410026133
Other languages
Chinese (zh)
Other versions
CN1232831C (en
Inventor
成永红
陈小林
张少锋
石山
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xian Jiaotong University
Original Assignee
Xian Jiaotong University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xian Jiaotong University filed Critical Xian Jiaotong University
Priority to CN 200410026133 priority Critical patent/CN1232831C/en
Publication of CN1580795A publication Critical patent/CN1580795A/en
Application granted granted Critical
Publication of CN1232831C publication Critical patent/CN1232831C/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Images

Landscapes

  • Testing Of Short-Circuits, Discontinuities, Leakage, Or Incorrect Line Connections (AREA)
  • Cable Transmission Systems, Equalization Of Radio And Reduction Of Echo (AREA)

Abstract

The present invention discloses a method for on-line monitoring dielectric loss of capacitive power equipment and device. It adopts a high-accuracy microcurrent sensor cover-connected on the earthing wire of equipment, and a resistance divider is mounted on the low-voltage output of voltage transformer of transofrmer station, and a computer can be used for making analytical processing and result display so as to implement on-line mointoring of leakage current signal of power equipment. Said device is formed from high-accuracy microcurrent sensor, resistance divide, signal cable, signal modulator, data collecting card, digital I/O card and computer. Said device utilizes ORACLE to implement data management, and has the functions of historical inquiry, report printing, threshold alarm and remote inquiry, etc.

Description

Capacitive power equipment dielectric loss on-line monitoring method and device
Technical Field
The invention belongs to the technical field of on-line monitoring of power equipment, and relates to a method and a device for on-line monitoring of dielectric loss of capacitive power equipment.
Background
The rapid development of national economy further improves the requirements on the operation reliability of the power system, and the on-line monitoring technology of the power equipment is an important way for improving the operation reliability of the power. The capacitance type power equipment occupies a large proportion in a power transmission and transformation system, such as a transformer, a cable, a sleeve and the like, and the capacitance type power equipment is aged due to the action of factors such as electricity, heat, machinery, environment and the like in the operation process, so that the insulation performance is reduced, and the potential accident hazard is caused. The dielectric loss is an important insulation index for reflecting the insulation condition of the capacitive power equipment, the insulation aging condition of the power equipment can be effectively judged by monitoring the dielectric loss of the power equipment on line, and the method plays an important role in stable operation of the power equipment.
The medium loss detection device of the power equipment developed at home and abroad can be divided into two types, one type is off-line measurement, the device to be detected needs to be powered off when the device is used, and the device is suitable for preventive tests; and another live measurement, the measuring device can measure when the equipment is in normal operation. The traditional electric power equipment dielectric loss live measurement device takes a single chip microcomputer as an operation processing core, such as Chinese patent publication No. 1185585 and Chinese patent publication No. 2200823, and is limited by the function of the single chip microcomputer, so that the device has simpler function, does not have advanced data management capability and remote data query function, has poor digital signal processing capability and is difficult to filter out strong electromagnetic interference signals on site. Chinese patent publication No. 1188237 discloses a method and apparatus for live measurement of dielectric loss of capacitive electrical equipment, which uses the principle of balanced bridge and combined sampling of capacitance and resistance to improve measurement accuracy, but the apparatus needs manual adjustment and is not suitable for real-time automatic monitoring.
With the rapid development of national economy, the improvement of the electric power operation reliability is urgently required, and the traditional detection device taking the single chip microcomputer as a processing core is difficult to meet the increasingly high requirements of an electric power operation department on the automation level of equipment due to simple function and low automation level.
Disclosure of Invention
The invention aims to provide a method and a device for monitoring equipment on line by using capacitive power equipment by adopting a virtual instrument technology, which have the advantages of high measurement precision, friendly interface, strong functions, high automation level and the like and can meet the urgent need of automatic monitoring of dielectric loss of the capacitive power equipment. According to the invention, the dielectric loss of the capacitive power equipment is monitored on line, so that the insulation condition of the equipment can be reflected, the insulation defect can be found in time, and the hidden trouble can be eliminated.
The technical scheme for realizing the aim of the invention is that the capacitive power equipment dielectric loss on-line monitoring method is characterized in that a high-precision micro-current sensor is sleeved on an equipment grounding wire, a resistance voltage divider is arranged on the low-voltage output of a transformer substation voltage transformer, and a computer is used for analyzing, processing and displaying results to realize the on-line monitoring of a leakage current signal of power equipment; the method comprises the following steps:
1) the high-precision micro-current sensor is sleeved on the equipment ground wire and used for coupling a leakage current signal of the power equipment, and the leakage current signal is transmitted to a first signal conditioner positioned in a monitoring room through a signal cable to be amplified, filtered, isolated and multiplexed and then sent to a first channel of a data acquisition card for acquisition;
2) meanwhile, a resistance voltage divider is arranged at the transformer substation voltage transformer end to obtain a reference voltage signal, the reference voltage signal is transmitted through a signal cable and then sent to a second signal conditioner in a monitoring room for amplification, filtering, signal isolation and multi-path selection processing, and then the reference voltage signal is sent to a second channel of a data acquisition card for acquisition; triggering the first channel through a second channel signal during acquisition so as to ensure that the two channels acquire simultaneously;
3) the computer carries out spectrum analysis and correlation analysis on two paths of signals acquired by the data acquisition card to obtain the angular difference and the tangent value of the angular difference, eliminates phase offset caused by a hardware circuit by adopting a calibration method, and finally rejects the monitored abnormal data for display and threshold value alarm;
4) meanwhile, calculating the mean square value of the leakage current of the power equipment;
5) an ORACLE database is arranged in the computer and used for carrying out data management and query on monitored data and realizing remote monitoring through compiled Web server software.
The spectral analysis follows the following equation: <math> <mrow> <mi>I</mi> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <msub> <mi>I</mi> <mn>0</mn> </msub> <mo>+</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>n</mi> <mo>=</mo> <mn>1</mn> </mrow> <mo>&infin;</mo> </munderover> <msub> <mi>A</mi> <mi>n</mi> </msub> <mi>sin</mi> <mrow> <mo>(</mo> <mi>n&omega;t</mi> <mo>+</mo> <msub> <mi>&Phi;</mi> <mi>in</mi> </msub> <mo>)</mo> </mrow> <mo>,</mo> </mrow> </math>
<math> <mrow> <mi>U</mi> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <msub> <mi>U</mi> <mn>0</mn> </msub> <mo>+</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>n</mi> <mo>=</mo> <mn>1</mn> </mrow> <mo>&infin;</mo> </munderover> <msub> <mi>B</mi> <mi>n</mi> </msub> <mi>sin</mi> <mrow> <mo>(</mo> <mi>n&omega;t</mi> <mo>+</mo> <msub> <mi>&Phi;</mi> <mi>un</mi> </msub> <mo>)</mo> </mrow> <mo>,</mo> </mrow> </math> wherein, I and U are respectively data acquired by a first channel and a second channel of an acquisition card, I0,U0Are respectively their direct current components, An,BnAmplitude of n harmonics, phi, respectivelynThe phase value of the nth harmonic. In this way, the phase of the fundamental wave, i.e., #, of the two-channel signal can be determined when n is 1i0And phiu0,tanδ=tan(Фi0u0)。
The correlation analysis method follows the following formula:
Figure A20041002613300063
wherein, <math> <mrow> <msub> <mi>R</mi> <mi>xy</mi> </msub> <mrow> <mo>(</mo> <mn>0</mn> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mn>1</mn> <mi>N</mi> </mfrac> <munderover> <mi>&Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <mi>x</mi> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> <mi>y</mi> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> <msub> <mrow> <mo>,</mo> <mi>R</mi> </mrow> <mi>x</mi> </msub> <mrow> <mo>(</mo> <mn>0</mn> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mn>1</mn> <mi>N</mi> </mfrac> <munderover> <mi>&Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msup> <mi>x</mi> <mn>2</mn> </msup> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> <mo>,</mo> <msub> <mi>R</mi> <mi>y</mi> </msub> <mrow> <mo>(</mo> <mn>0</mn> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mn>1</mn> <mi>N</mi> </mfrac> <munderover> <mi>&Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msup> <mi>y</mi> <mn>2</mn> </msup> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> <mo>,</mo> </mrow> </math> x (i) and y (i) are respectively data acquired by a first channel and a second channel of the acquisition card, and N is the number of sampling points.
The calibration method is according to the formula: <math> <mrow> <mi>&delta;</mi> <mo>=</mo> <mfrac> <mrow> <msub> <mi>&delta;</mi> <mrow> <mi>n</mi> <mo>+</mo> <mn>1</mn> </mrow> </msub> <mo>-</mo> <msub> <mi>&delta;</mi> <mi>n</mi> </msub> </mrow> <mrow> <msub> <mi>I</mi> <mrow> <mi>n</mi> <mo>+</mo> <mn>1</mn> </mrow> </msub> <mo>-</mo> <msub> <mi>I</mi> <mi>n</mi> </msub> </mrow> </mfrac> <mrow> <mo>(</mo> <mi>I</mi> <mo>-</mo> <msub> <mi>I</mi> <mi>n</mi> </msub> <mo>)</mo> </mrow> <mo>+</mo> <msub> <mi>&delta;</mi> <mi>n</mi> </msub> <mo>,</mo> </mrow> </math> where I is the measured leakage current amplitude, InAnd In+1Is the current interval in which the I amplitude is located, deltanAnd deltan+1Respectively their corresponding angular differences. Finally, removing the monitored abnormal data, and displaying and alarming by a threshold value;
according to the following formula <math> <mrow> <mi>I</mi> <mo>=</mo> <msqrt> <mfrac> <mrow> <msubsup> <mi>I</mi> <mn>1</mn> <mn>2</mn> </msubsup> <mo>+</mo> <msubsup> <mi>I</mi> <mn>2</mn> <mn>2</mn> </msubsup> <mo>+</mo> <msubsup> <mi>I</mi> <mn>3</mn> <mn>2</mn> </msubsup> <mo>+</mo> <mo>&CenterDot;</mo> <mo>&CenterDot;</mo> <mo>&CenterDot;</mo> <mo>+</mo> <msubsup> <mi>I</mi> <mi>n</mi> <mn>2</mn> </msubsup> <mo>+</mo> <mo>&CenterDot;</mo> <mo>&CenterDot;</mo> <mo>&CenterDot;</mo> <mo>+</mo> <msubsup> <mi>I</mi> <mi>N</mi> <mn>2</mn> </msubsup> </mrow> <mi>N</mi> </mfrac> </msqrt> <mo>,</mo> </mrow> </math> Calculating the mean square value of the leakage current of the power equipment, wherein In 2(N is 1, 2, 3, … …, N) is the current sample value, and N is the number of sample points.
The device for realizing the capacitance type power equipment dielectric loss on-line monitoring method is used for carrying out signal transmission by a signal cable, and is characterized in that:
the high-precision micro-current sensor is sleeved on a grounding wire of the equipment and is used for coupling a leakage current signal of the power equipment;
the signal conditioners are arranged in the monitoring room and used for amplifying, filtering, isolating and multiplexing signals of the high-precision micro-current sensor;
the resistance voltage divider is arranged at the transformer substation voltage transformer end and used for acquiring a reference voltage signal;
the data acquisition card is used for acquiring signals after the signal conditioner is subjected to amplification, filtering, signal isolation and multipath selection;
the digital IO card is used for controlling the signal conditioner, the gating of the data acquisition card channel, the gain adjustment and the filtering;
the computer is used for realizing data processing, result display, alarm and remote monitoring of the dielectric loss of the capacitive power equipment;
the high-precision micro-current sensor and the resistance voltage divider thereof sleeved on the ground wire of the equipment send signals into the data acquisition card through the control signal conditioner, the computer is respectively communicated with the data acquisition card and the digital IO card, and the digital IO card is also communicated with the control signal conditioner.
The invention has other characteristics that the high-precision micro-current sensor adopts a Rogowski coil current sensor and consists of an outer shielding box, a magnetic core, a coil, an integral resistor, a signal output plug and an amplifying circuit.
The magnetic core of the Rogowski coil current sensor is an annular slope film alloy magnetic core.
The integral resistance is 50 omega, and the characteristic impedance of the signal output plug is also 50 omega.
The resistive divider has A, B, C three phases, corresponding to A, B, C three phases of the power device.
The resistor voltage divider adopts high-power resistors connected in series to divide voltage, and the power is 4W.
The maximum real-time sampling rate of the data acquisition card is 20MS/s, the analog bandwidth is 15MHz, the A/D resolution is 8 bits, the input voltage range is-5V- +5V, and two analog signal input ends are provided.
The digital control card has three ports, 8 bits of each port form a control word, and the control word is written into each port to realize the control function.
The capacitive power equipment dielectric loss on-line monitoring device has strong digital signal processing capacity, can effectively filter out field electromagnetic interference signals, can calculate the dielectric loss value and the corresponding dielectric loss angle of equipment and the effective value of equipment alternating current leakage current, stores data and inquires historical data through a database, has a network communication function, and can realize remote monitoring and historical data inquiry by a remote user through Internet Explorer.
Drawings
FIG. 1 is a schematic diagram of the hardware configuration of the present invention; in the figure, the data acquisition card and the digital IO card are both PCI buses, and the two cards are both inserted into PCI slots of a computer.
Fig. 2 is a schematic diagram of system detection, and it should be noted that a computer simultaneously performs a monitoring function, a data management (i.e., database service) and a network service function.
FIG. 3 is a schematic diagram of a sensor coil;
FIG. 4 is a schematic diagram of a resistor divider configuration (where R1 is 500k Ω and R2 is 2.5k Ω);
fig. 5 is a software configuration diagram of the apparatus.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
Referring to fig. 2, according to the technical scheme of the invention, the capacitive power equipment dielectric loss on-line monitoring method adopts a high-precision micro-current sensor sleeved on a ground wire of the equipment to couple a leakage current signal of the power equipment, transmits the leakage current signal to a signal conditioner positioned in a monitoring room through a signal cable for amplification, filtering, signal isolation, multi-path selection and the like, then sends the signal to a channel of a data acquisition card 0 installed in a computer for acquisition, meanwhile, a reference voltage signal is obtained by using a resistance voltage divider arranged at the low-voltage output end of the transformer substation voltage transformer, the reference voltage signal is transmitted into a signal conditioner for processing such as isolation after being transmitted by a signal cable, the reference voltage signal is transmitted into a second channel (channel 1) of a data acquisition card arranged in a computer for acquisition, and a signal of the second channel (channel 0) triggers the first channel during acquisition so as to ensure that the two channels acquire simultaneously. And carrying out spectrum analysis and correlation analysis on the two collected signals to obtain the angular difference of the two collected signals, eliminating phase shift caused by a hardware circuit by adopting a software calibration method, and finally rejecting the monitored abnormal data for display and threshold value alarm. The monitoring method also calculates the mean square value of the leakage current. In software, an ORACLE database is adopted to carry out data management and query on monitored data, and the remote monitoring function is realized through programmed Web server software.
Referring to fig. 1, the device of the capacitance type power equipment dielectric loss on-line monitoring method according to the present invention, which performs signal transmission by a signal cable, comprises:
the high-precision micro-current sensor 1 is sleeved on a grounding wire of the equipment and is used for coupling a leakage current signal of the power equipment;
the signal conditioners 2 are arranged in the monitoring room and are used for amplifying, filtering, isolating and multiplexing the signals of the high-precision micro-current sensor 1;
the resistance voltage divider 3 is arranged at the transformer substation voltage transformer end and used for acquiring a reference voltage signal;
the data acquisition card 4 is used for acquiring signals after the signal conditioner 2 is subjected to amplification, filtering, signal isolation and multipath selection;
the digital IO card 5 is used for controlling the channel gating, the gain adjustment and the filtering of the signal conditioner 2 and the data acquisition card 4;
the computer 6 is used for realizing data processing, result display, alarm and remote monitoring of the dielectric loss of the capacitive power equipment;
the data acquisition card 4 and the digital IO card 5 are both PCI buses, and both cards are inserted into PCI slots of the computer 6.
The high-precision micro-current sensor 1 sleeved on the ground wire of the equipment and the resistance voltage divider 3 thereof send signals into the data acquisition card 4 through the control signal conditioner 2, the computer 6 is respectively communicated with the data acquisition card 4 and the digital IO card 5, and the digital IO card 5 is also communicated with the control signal conditioner 2.
The high-precision micro-current sensor adopts a Rogowski coil current sensor and consists of an outer shielding box, a magnetic core, a coil, an integral resistor, a signal output plug and an amplifying circuit. The magnetic core is an annular slope film alloy magnetic core, and the specific size depends on the sectional area of a grounding wire of monitored equipment. The coil is wound by adopting an enameled wire (see figure 3), and the number of turns depends on the magnitude of leakage current of equipment, and is generally 100-700 turns. The integrating resistance is 50 Ω, and the characteristic impedance of the signal output plug is also 50 Ω. The sensor is annular and is sleeved on the ground wire of the equipment to couple leakage current signals, so that the normal operation of the cable is not influenced. The sensor adopts a multilayer shielding technology to inhibit field interference, and the shielding materials from inside to outside are a slope film alloy film, an iron sheet film and a copper shielding box in sequence. The amplification circuit of the sensor adopts a multi-stage amplification technology, the total amplification factor is 105-107, and 4 orders are adjustable.
The resistor divider is used for dividing voltage from a voltage transformer (see fig. 4) and acquiring a voltage signal as phase reference information for analyzing the dielectric loss. The resistive divider has A, B, C three phases, corresponding to A, B, C three phases of the power device. The resistor voltage divider adopts high-power resistors which are connected in series for voltage division, the resistors are respectively 500k omega and 2.5k omega, and the power is 4W.
The signal conditioner is arranged in a monitoring room, can perform program control amplification, filtering, multi-path selection and signal isolation on leakage current signals, and can also perform signal isolation on output signals of the resistance voltage divider. The device has the program control amplification or attenuation times of 1, 2, 5, 10, 20, 50 and 100 times, and the discharge signal is conditioned to the optimal signal input range of the acquisition board card by selecting the proper amplification times so as to reduce the quantization error during A/D conversion of the acquisition card. The device has a 100Hz low pass filtering module to reduce interference signals that may be introduced by the current signal when transmitted over long distances. The device has a multi-path selection function, because the device has a plurality of signal input ends, including leakage current signals of three phases of power equipment and phase reference voltage signals output by a resistor voltage divider, and one path of leakage current signals and one path of phase reference voltage signals need to be selected for processing in each detection.
The maximum real-time sampling rate of the adopted data acquisition card is 20MS/s, the analog bandwidth is 15MHz, the A/D resolution is 8 bits, and the input voltage range is-5V- + 5V. The card has two analog signal input ends, and can simultaneously acquire a leakage current signal and a voltage reference signal.
The adopted digital acquisition card has three ports, 8 bits of each port form a control word, and the control word can be written in each port to realize the control function. And controlling the channel gating, the gain adjustment and the filtering module through the digital control card.
Computer implementationThe functions of the method comprise acquisition, calculation, calibration, abnormal result elimination, result display, threshold value alarm, report printing, network transmission and the like. The computer controls the acquisition board card to simultaneously acquire the leakage current signal and the voltage reference signal, and the angular difference between the leakage current signal and the voltage reference signal is calculated by adopting a frequency spectrum analysis method and a correlation method, wherein the frequency spectrum analysis method is as follows: <math> <mrow> <mi>I</mi> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <msub> <mi>I</mi> <mn>0</mn> </msub> <mo>+</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>n</mi> <mo>=</mo> <mn>1</mn> </mrow> <mo>&infin;</mo> </munderover> <msub> <mi>A</mi> <mi>n</mi> </msub> <mi>sin</mi> <mrow> <mo>(</mo> <mi>n&omega;t</mi> <mo>+</mo> <msub> <mi>&Phi;</mi> <mi>in</mi> </msub> <mo>)</mo> </mrow> <mo>,</mo> <mi>U</mi> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <msub> <mi>U</mi> <mn>0</mn> </msub> <mo>+</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>n</mi> <mo>=</mo> <mn>1</mn> </mrow> <mo>&infin;</mo> </munderover> <msub> <mi>B</mi> <mi>n</mi> </msub> <mi>sin</mi> <mrow> <mo>(</mo> <mi>n&omega;t</mi> <mo>+</mo> <msub> <mi>&Phi;</mi> <mi>un</mi> </msub> <mo>)</mo> </mrow> <mo>,</mo> </mrow> </math> wherein, I and U are respectively data acquired by a first channel and a second channel of an acquisition card, I0,U0Are respectively their direct current components, An,BnAmplitude of n harmonics, phi, respectivelynThe phase value of the nth harmonic. In this way, the phase of the fundamental wave, i.e., #, of the two-channel signal can be determined when n is 1i0And phiu0,tanδ=tan(Фi0u0)。
The correlation analysis method follows the following formula:
Figure A20041002613300102
wherein, <math> <mrow> <msub> <mi>R</mi> <mi>xy</mi> </msub> <mrow> <mo>(</mo> <mn>0</mn> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mn>1</mn> <mi>N</mi> </mfrac> <munderover> <mi>&Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <mi>x</mi> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> <mi>y</mi> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> <msub> <mrow> <mo>,</mo> <mi>R</mi> </mrow> <mi>x</mi> </msub> <mrow> <mo>(</mo> <mn>0</mn> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mn>1</mn> <mi>N</mi> </mfrac> <munderover> <mi>&Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msup> <mi>x</mi> <mn>2</mn> </msup> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> <mo>,</mo> <msub> <mi>R</mi> <mi>y</mi> </msub> <mrow> <mo>(</mo> <mn>0</mn> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mn>1</mn> <mi>N</mi> </mfrac> <munderover> <mi>&Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msup> <mi>y</mi> <mn>2</mn> </msup> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> <mo>,</mo> </mrow> </math> x (i) and y (i) are respectively data acquired by a first channel and a second channel of the acquisition card, and N is the number of sampling points.
The tangent values obtained by the two methods are the dielectric loss of the equipment, the result is calibrated according to the magnitude of the leakage current value so as to compensate the phase offset of the hardware circuit caused by different leakage current values, the calculated abnormal result is removed, and the computer also obtains the effective value of the leakage current. After parameter calculation is completed, the computer displays results and gives an alarm, and measurement data are stored through an ORACLE database. The network server software is installed on the computer, and a remote user can view the current monitoring result and inquire historical data by accessing the IP address of the computer in the device by using Internet Explorer.
The software structure is shown in fig. 5. The applicant has completed one prototype according to the scheme of the invention, and the acquisition and analysis platform of the device is constructed by the acquisition board card and the computer, so that the system has the characteristics of friendly interface, strong calculation function and the like. Experiments prove that the method can be used for monitoring the dielectric loss and the leakage current value of the capacitive power equipment on line, calibrating different phase offsets caused by a hardware circuit according to the leakage current value, eliminating abnormal results, realizing data management through an ORACLE database, having a historical data query function, and also having functions of report printing, threshold alarm, remote query and the like.

Claims (10)

1. A capacitive power equipment dielectric loss on-line monitoring method is characterized in that a high-precision micro-current sensor is sleeved on an equipment grounding wire, a resistance voltage divider is arranged on the low-voltage output of a transformer substation voltage transformer, and a computer is used for analyzing, processing and displaying results to realize on-line monitoring of a leakage current signal of power equipment; the method comprises the following steps:
1) a high-precision micro-current sensor is sleeved on an equipment grounding wire and used for coupling leakage current signals of power equipment, the leakage current signals are transmitted to a first signal conditioner positioned in a monitoring room through a signal cable for amplification and filtering, and 3) a computer carries out spectrum analysis and correlation analysis on two paths of signals acquired by a data acquisition card to obtain the angle difference and the tangent value of the angle difference, phase offset caused by a hardware circuit is eliminated by adopting a calibration method, and finally, monitored abnormal data are removed for display and threshold value alarm;
4) meanwhile, calculating the mean square value of the leakage current of the power equipment;
5) an ORACLE database is arranged in the computer and used for carrying out data management and query on monitored data and realizing remote monitoring through compiled Web server software.
After signal isolation and multipath selection processing, sending the signals into a first channel of a data acquisition card for acquisition;
2) meanwhile, a resistance voltage divider is arranged at the transformer substation voltage transformer end to obtain a reference voltage signal, the reference voltage signal is transmitted through a signal cable and then sent to a second signal conditioner in a monitoring room for amplification, filtering, signal isolation and multi-path selection processing, and then the reference voltage signal is sent to a second channel of a data acquisition card for acquisition; during acquisition, the first channel is triggered by a second channel signal to ensure that the two channels are acquired simultaneously;
3) the computer carries out spectrum analysis and correlation analysis on two paths of signals acquired by the data acquisition card to obtain the angular difference and the tangent value of the angular difference, eliminates phase offset caused by a hardware circuit by adopting a calibration method, and finally rejects the monitored abnormal data for display and threshold value alarm;
4) meanwhile, calculating the mean square value of the leakage current of the power equipment;
5) an ORACLE database is arranged in the computer and used for carrying out data management and query on monitored data and realizing remote monitoring through compiled Web server software.
2. The method for on-line monitoring of dielectric loss of capacitive power equipment as claimed in claim 1, wherein: the spectral analysis was performed according to the following formula:
<math> <mrow> <mi>I</mi> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <msub> <mi>I</mi> <mn>0</mn> </msub> <mo>+</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>n</mi> <mo>=</mo> <mn>1</mn> </mrow> <msup> <mo>&infin;</mo> <mo>&prime;</mo> </msup> </munderover> <msub> <mi>A</mi> <mi>n</mi> </msub> <mi>sin</mi> <mrow> <mo>(</mo> <mi>n&omega;t</mi> <mo>+</mo> <msub> <mi>&Phi;</mi> <mi>in</mi> </msub> <mo>)</mo> </mrow> <mo>,</mo> </mrow> </math> <math> <mrow> <mi>U</mi> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <msub> <mi>U</mi> <mn>0</mn> </msub> <mo>+</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>n</mi> <mo>=</mo> <mn>1</mn> </mrow> <mo>&infin;</mo> </munderover> <msub> <mi>B</mi> <mi>n</mi> </msub> <mi>sin</mi> <mrow> <mo>(</mo> <mi>n&omega;t</mi> <mo>+</mo> <msub> <mi>&Phi;</mi> <mi>un</mi> </msub> <mo>)</mo> </mrow> <mo>;</mo> </mrow> </math>
wherein, I and U are respectively data acquired by a first channel and a second channel of an acquisition card, I0,U0Are respectively their direct current components, An,BnAmplitude of n harmonics, phi, respectivelynA phase value that is an nth harmonic; determining the phase of the fundamental wave of the two-channel signal when n is 1, i.e. phii0And phiu0,tanδ=tan(Φi0u0);
The correlation analysis follows the following equation:
Figure A2004100261330003C1
wherein, <math> <mrow> <msub> <mi>R</mi> <mi>xy</mi> </msub> <mrow> <mo>(</mo> <mn>0</mn> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mn>1</mn> <mi>N</mi> </mfrac> <munderover> <mi>&Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <mi>x</mi> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> <mi>y</mi> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> <mo>,</mo> </mrow> </math> <math> <mrow> <msub> <mi>R</mi> <mi>x</mi> </msub> <mrow> <mo>(</mo> <mn>0</mn> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mn>1</mn> <mi>N</mi> </mfrac> <munderover> <mi>&Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msup> <mi>x</mi> <mn>2</mn> </msup> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> <mo>,</mo> </mrow> </math> <math> <mrow> <msub> <mi>R</mi> <mi>y</mi> </msub> <mrow> <mo>(</mo> <mn>0</mn> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mn>1</mn> <mi>N</mi> </mfrac> <munderover> <mi>&Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>N</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msup> <mi>y</mi> <mn>2</mn> </msup> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> <mo>,</mo> </mrow> </math> x (i) and y (i) are respectively data acquired by a first channel and a second channel of the acquisition card, and N is the number of sampling points;
the calibration method is according to the formula: <math> <mrow> <mi>&delta;</mi> <mo>=</mo> <mfrac> <mrow> <msub> <mi>&delta;</mi> <mrow> <mi>n</mi> <mo>+</mo> <mn>1</mn> </mrow> </msub> <mo>-</mo> <msub> <mi>&delta;</mi> <mi>n</mi> </msub> </mrow> <mrow> <msub> <mi>I</mi> <mrow> <mi>n</mi> <mo>+</mo> <mn>1</mn> </mrow> </msub> <mo>-</mo> <msub> <mi>I</mi> <mi>n</mi> </msub> </mrow> </mfrac> <mrow> <mo>(</mo> <mi>I</mi> <mo>-</mo> <msub> <mi>I</mi> <mi>n</mi> </msub> <mo>)</mo> </mrow> <mo>+</mo> <msub> <mi>&delta;</mi> <mi>n</mi> </msub> </mrow> </math>
where I is the measured leakage current amplitude, InAnd In+1Is the current interval in which the I amplitude is located, deltanAnd deltan+1Respectively their corresponding angular differences;
calculating the mean square value of the leakage current of the power equipment according to the formula: <math> <mrow> <mi>I</mi> <mo>=</mo> <msqrt> <mfrac> <mrow> <msubsup> <mi>I</mi> <mn>1</mn> <mn>2</mn> </msubsup> <mo>+</mo> <msubsup> <mi>I</mi> <mn>2</mn> <mn>2</mn> </msubsup> <mo>+</mo> <msubsup> <mi>I</mi> <mn>3</mn> <mn>2</mn> </msubsup> <mo>+</mo> <mo>&CenterDot;</mo> <mo>&CenterDot;</mo> <mo>&CenterDot;</mo> <mo>+</mo> <msubsup> <mi>I</mi> <mi>n</mi> <mn>2</mn> </msubsup> <mo>+</mo> <mo>&CenterDot;</mo> <mo>&CenterDot;</mo> <mo>&CenterDot;</mo> <mo>+</mo> <msubsup> <mi>I</mi> <mi>N</mi> <mn>2</mn> </msubsup> </mrow> <mi>N</mi> </mfrac> </msqrt> <mo>,</mo> </mrow> </math>
wherein In 2(N is 1, 2, 3, … …, N) is the current sample value, and N is the number of sample points.
3. An apparatus for implementing the method of claim 1, wherein the signal cable is used for signal transmission, the apparatus comprising:
the high-precision micro-current sensor (1) is sleeved on a device grounding wire and is used for coupling a leakage current signal of the power device;
the signal conditioners (2) are arranged in the monitoring room and are used for amplifying, filtering, isolating and multiplexing signals of the high-precision micro-current sensor (1);
the resistance voltage divider (3) is arranged at the transformer substation voltage transformer end and is used for acquiring a reference voltage signal;
the data acquisition card (4) is used for acquiring signals after the signal conditioner (2) is subjected to amplification, filtering, signal isolation and multi-path selection processing;
the digital IO card (5) is used for controlling channel gating, gain adjustment and filtering of the signal conditioner (2) and the data acquisition card (4);
the computer (6) is used for realizing data processing, result display, alarm and remote monitoring of the dielectric loss of the capacitive power equipment;
a high-precision micro-current sensor (1) sleeved on a ground wire of equipment and a resistance voltage divider (3) thereof send signals into a data acquisition card (4) through a control signal conditioner (2), a computer (6) is respectively communicated with the data acquisition card (4) and a digital IO card (5), and the digital IO card (5) is also communicated with the control signal conditioner (2).
4. The device for the online monitoring of the dielectric loss of the capacitive power equipment as claimed in claim 3, characterized in that the high-precision micro-current sensor (1) adopts a rogowski coil current sensor and is composed of an outer shielding box, a magnetic core, a coil, an integral resistor, a signal output plug and an amplifying circuit.
5. The device for the online monitoring of the dielectric loss of the capacitive power equipment as claimed in claim 4, wherein the magnetic core of the rogowski coil current sensor is an annular slope film alloy magnetic core.
6. The device for the online monitoring of the dielectric loss of the capacitive power equipment as claimed in claim 4, wherein the integral resistance is 50 Ω, and the characteristic impedance of the signal output plug is also 50 Ω.
7. A capacitive power device dielectric loss on-line monitoring arrangement as claimed in claim 3, characterised in that the resistive divider (3) has A, B, C three phases, corresponding to A, B, C three phases of the power device.
8. An apparatus for capacitive power device dielectric loss on-line monitoring as claimed in claims 4 and 6 wherein the resistor divider (3) is a series of high power resistors with 4W power.
9. The device for the capacitive type power equipment dielectric loss on-line monitoring method according to claim 3, wherein the maximum real-time sampling rate of the data acquisition card (4) is 20MS/s, the analog bandwidth is 15MHz, the A/D resolution is 8 bits, the input voltage range is-5V- +5V, and two analog signal input ends are provided.
10. The device for the capacitive power equipment dielectric loss on-line monitoring method according to claim 3, wherein the digital control card has three ports, 8 bits of each port form a control word, and the control word is written into each port to realize the control function.
CN 200410026133 2004-05-17 2004-05-17 Capacitive power equipment medium loss on-line monitoring method and device Expired - Fee Related CN1232831C (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN 200410026133 CN1232831C (en) 2004-05-17 2004-05-17 Capacitive power equipment medium loss on-line monitoring method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN 200410026133 CN1232831C (en) 2004-05-17 2004-05-17 Capacitive power equipment medium loss on-line monitoring method and device

Publications (2)

Publication Number Publication Date
CN1580795A true CN1580795A (en) 2005-02-16
CN1232831C CN1232831C (en) 2005-12-21

Family

ID=34581991

Family Applications (1)

Application Number Title Priority Date Filing Date
CN 200410026133 Expired - Fee Related CN1232831C (en) 2004-05-17 2004-05-17 Capacitive power equipment medium loss on-line monitoring method and device

Country Status (1)

Country Link
CN (1) CN1232831C (en)

Cited By (34)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN100401080C (en) * 2006-02-20 2008-07-09 武汉华电国电高压科技发展有限公司 On-line monitoring method and system for converting station high voltage electrical apparatus
CN101930033A (en) * 2010-06-24 2010-12-29 河南省电力公司商丘供电公司 Test method without disconnection of capacitor voltage transformer
CN101387670B (en) * 2008-10-21 2011-05-11 华南理工大学 Dielectric loss on-line measurement apparatus for power capacitor
CN102095941A (en) * 2010-12-15 2011-06-15 广东电网公司电力科学研究院 Method for measuring equivalent inductance of coupling capacitance loop under lightning over-voltage and system thereof
CN102095954A (en) * 2010-12-17 2011-06-15 青海电力科学试验研究院 Preventive test method for capacitance voltage transformer free from dismounting lead
CN102141586A (en) * 2010-12-14 2011-08-03 北京诺斯卡科技有限公司 Power equipment online monitor method and device
CN101655518B (en) * 2009-08-19 2011-10-05 东北电力科学研究院有限公司 High voltage capacitive-type equipment leakage current-resistance sampling sensor and installation method thereof
CN102222881A (en) * 2011-06-10 2011-10-19 山东鲁亿通智能电气股份有限公司 Leakage current monitoring method for solar photovoltaic inverter
CN102484394A (en) * 2009-04-13 2012-05-30 Abb研究有限公司 Intelligent process interface and substation automation system
CN102565542A (en) * 2012-02-10 2012-07-11 国电南瑞科技股份有限公司 Capacitive equipment medium loss online monitoring method based on IEC61850-9-2 standard
CN102749500A (en) * 2012-07-27 2012-10-24 成都生辉电子科技有限公司 Industrial alternating-current (AC) ampere meter
CN103018573A (en) * 2012-08-22 2013-04-03 浙江省电力公司电力科学研究院 Field measurement system for dielectric loss value of crosslinked polyethylene power cable
CN101762756B (en) * 2009-08-25 2013-06-12 山东中瑞电气有限公司 Laser pump-based online monitoring system for power equipment running state
CN103293391A (en) * 2013-06-19 2013-09-11 国家电网公司 Online capacitance monitoring device of compensating capacitors
CN103454609A (en) * 2013-09-11 2013-12-18 国家电网公司 Debugging platform of on-line monitoring device of capacitive equipment
CN104061850A (en) * 2014-07-03 2014-09-24 国家电网公司 Device for detecting deformation of transformer winding based on pulse on-line injection
CN104237599A (en) * 2013-06-07 2014-12-24 恒能华工监测技术(北京)有限公司 Width dynamic capacitive equipment leakage current sensor monitoring system
CN104407230A (en) * 2014-11-17 2015-03-11 广州供电局有限公司 Frequency domain dielectric spectrum measuring device for high voltage bushing
CN104501870A (en) * 2014-12-25 2015-04-08 芜湖市晨韵自动化科技有限公司 Cable parameter monitoring system based on LabVIEW
CN104808069A (en) * 2015-04-07 2015-07-29 东南大学 Relative comparison method in combination with correlation analysis filtering performance
CN105044564A (en) * 2015-05-29 2015-11-11 广西电网有限责任公司电力科学研究院 Method and device for detecting cable insulation dielectric spectrum
CN105319447A (en) * 2015-11-06 2016-02-10 西安科技大学 Dielectric loss Tan delta test method and tester
CN106093593A (en) * 2016-08-05 2016-11-09 广州供电局有限公司 Condenser type electric power equipment dielectric loss online test method and system
CN106646324A (en) * 2017-01-25 2017-05-10 云南电网有限责任公司电力科学研究院 CVT metering error abnormal state evaluation method and CVT metering error abnormal state evaluation system
CN108196130A (en) * 2018-03-08 2018-06-22 云南电网有限责任公司电力科学研究院 The dielectric loss test method and device of comparison current signal are acquired using resitstance voltage divider
CN108226603A (en) * 2016-12-13 2018-06-29 保时捷股份公司 For measuring the device and method of the electric current in electric conductor
CN108303617A (en) * 2018-02-02 2018-07-20 西安沣源智能装备科技有限公司 A kind of fault location system
CN108490267A (en) * 2018-03-12 2018-09-04 广东电网有限责任公司中山供电局 A kind of display systems of electrical equipment online supervision data
CN109073682A (en) * 2016-05-24 2018-12-21 大陆汽车有限公司 For monitoring monitoring device and method with the AC voltage source of reference potential DC decoupling
CN109490722A (en) * 2018-10-30 2019-03-19 国网江苏省电力有限公司南通供电分公司 A kind of dry-type current transformer Insulation Inspection System and its detection method
CN110196356A (en) * 2019-05-17 2019-09-03 国网陕西省电力公司电力科学研究院 Passive type dielectric spectroscopy on-line measurement analysis system and method
CN110244108A (en) * 2019-07-05 2019-09-17 杭州西湖电子研究所 A kind of angular difference three-dimensional figure spectrum expression representing wide area dielectric loss
CN110337593A (en) * 2017-02-28 2019-10-15 赖茵豪森机械制造公司 Method and apparatus for monitoring the fissipation factor of condenser-type terminal
CN110554270A (en) * 2019-08-24 2019-12-10 上海佳特高电压电气设备有限公司 Power capacitance test line measurement and control system

Cited By (47)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN100401080C (en) * 2006-02-20 2008-07-09 武汉华电国电高压科技发展有限公司 On-line monitoring method and system for converting station high voltage electrical apparatus
CN101387670B (en) * 2008-10-21 2011-05-11 华南理工大学 Dielectric loss on-line measurement apparatus for power capacitor
CN102484394A (en) * 2009-04-13 2012-05-30 Abb研究有限公司 Intelligent process interface and substation automation system
CN101655518B (en) * 2009-08-19 2011-10-05 东北电力科学研究院有限公司 High voltage capacitive-type equipment leakage current-resistance sampling sensor and installation method thereof
CN101762756B (en) * 2009-08-25 2013-06-12 山东中瑞电气有限公司 Laser pump-based online monitoring system for power equipment running state
CN101930033A (en) * 2010-06-24 2010-12-29 河南省电力公司商丘供电公司 Test method without disconnection of capacitor voltage transformer
CN102141586A (en) * 2010-12-14 2011-08-03 北京诺斯卡科技有限公司 Power equipment online monitor method and device
CN102095941A (en) * 2010-12-15 2011-06-15 广东电网公司电力科学研究院 Method for measuring equivalent inductance of coupling capacitance loop under lightning over-voltage and system thereof
CN102095954A (en) * 2010-12-17 2011-06-15 青海电力科学试验研究院 Preventive test method for capacitance voltage transformer free from dismounting lead
CN102222881B (en) * 2011-06-10 2012-09-05 山东鲁亿通智能电气股份有限公司 Leakage current monitoring method for solar photovoltaic inverter
CN102222881A (en) * 2011-06-10 2011-10-19 山东鲁亿通智能电气股份有限公司 Leakage current monitoring method for solar photovoltaic inverter
CN102565542A (en) * 2012-02-10 2012-07-11 国电南瑞科技股份有限公司 Capacitive equipment medium loss online monitoring method based on IEC61850-9-2 standard
CN102565542B (en) * 2012-02-10 2014-12-10 国电南瑞科技股份有限公司 Capacitive equipment medium loss online monitoring method based on IEC61850-9-2 standard
CN102749500A (en) * 2012-07-27 2012-10-24 成都生辉电子科技有限公司 Industrial alternating-current (AC) ampere meter
CN103018573A (en) * 2012-08-22 2013-04-03 浙江省电力公司电力科学研究院 Field measurement system for dielectric loss value of crosslinked polyethylene power cable
CN104237599A (en) * 2013-06-07 2014-12-24 恒能华工监测技术(北京)有限公司 Width dynamic capacitive equipment leakage current sensor monitoring system
CN103293391A (en) * 2013-06-19 2013-09-11 国家电网公司 Online capacitance monitoring device of compensating capacitors
CN103454609B (en) * 2013-09-11 2015-10-07 国家电网公司 A kind of capacitive apparatus on-Line Monitor Device debug platform
CN103454609A (en) * 2013-09-11 2013-12-18 国家电网公司 Debugging platform of on-line monitoring device of capacitive equipment
CN104061850A (en) * 2014-07-03 2014-09-24 国家电网公司 Device for detecting deformation of transformer winding based on pulse on-line injection
CN104407230A (en) * 2014-11-17 2015-03-11 广州供电局有限公司 Frequency domain dielectric spectrum measuring device for high voltage bushing
CN104407230B (en) * 2014-11-17 2016-08-17 广州供电局有限公司 Dielectric spectroscopy measurement apparatus for bushing
CN104501870A (en) * 2014-12-25 2015-04-08 芜湖市晨韵自动化科技有限公司 Cable parameter monitoring system based on LabVIEW
CN104808069B (en) * 2015-04-07 2017-07-28 东南大学 A kind of capacitive equipments of combination correlation analysis filtering property
CN104808069A (en) * 2015-04-07 2015-07-29 东南大学 Relative comparison method in combination with correlation analysis filtering performance
CN105044564A (en) * 2015-05-29 2015-11-11 广西电网有限责任公司电力科学研究院 Method and device for detecting cable insulation dielectric spectrum
CN105044564B (en) * 2015-05-29 2017-11-07 广西电网有限责任公司电力科学研究院 A kind of cable insulation medium spectrum detection method and device
CN105319447A (en) * 2015-11-06 2016-02-10 西安科技大学 Dielectric loss Tan delta test method and tester
CN109073682B (en) * 2016-05-24 2021-08-17 大陆汽车有限公司 Monitoring device and method for monitoring an AC voltage source DC decoupled from a reference potential
US10983147B2 (en) 2016-05-24 2021-04-20 Continental Automotive Gmbh Monitoring apparatus and method for monitoring an AC voltage source, which is DC-decoupled from a reference potential
CN109073682A (en) * 2016-05-24 2018-12-21 大陆汽车有限公司 For monitoring monitoring device and method with the AC voltage source of reference potential DC decoupling
CN106093593A (en) * 2016-08-05 2016-11-09 广州供电局有限公司 Condenser type electric power equipment dielectric loss online test method and system
CN106093593B (en) * 2016-08-05 2019-10-18 广州供电局有限公司 Condenser type electric power equipment dielectric loss online test method and system
CN108226603A (en) * 2016-12-13 2018-06-29 保时捷股份公司 For measuring the device and method of the electric current in electric conductor
CN108226603B (en) * 2016-12-13 2020-07-28 保时捷股份公司 Device and method for measuring current in electrical conductor
CN106646324A (en) * 2017-01-25 2017-05-10 云南电网有限责任公司电力科学研究院 CVT metering error abnormal state evaluation method and CVT metering error abnormal state evaluation system
CN106646324B (en) * 2017-01-25 2019-03-12 云南电网有限责任公司电力科学研究院 A kind of CVT measurement error abnormality appraisal procedure and system
CN110337593A (en) * 2017-02-28 2019-10-15 赖茵豪森机械制造公司 Method and apparatus for monitoring the fissipation factor of condenser-type terminal
CN108303617A (en) * 2018-02-02 2018-07-20 西安沣源智能装备科技有限公司 A kind of fault location system
CN108196130A (en) * 2018-03-08 2018-06-22 云南电网有限责任公司电力科学研究院 The dielectric loss test method and device of comparison current signal are acquired using resitstance voltage divider
CN108490267B (en) * 2018-03-12 2020-04-14 广东电网有限责任公司中山供电局 Display system for on-line monitoring data of power equipment
CN108490267A (en) * 2018-03-12 2018-09-04 广东电网有限责任公司中山供电局 A kind of display systems of electrical equipment online supervision data
CN109490722A (en) * 2018-10-30 2019-03-19 国网江苏省电力有限公司南通供电分公司 A kind of dry-type current transformer Insulation Inspection System and its detection method
CN110196356A (en) * 2019-05-17 2019-09-03 国网陕西省电力公司电力科学研究院 Passive type dielectric spectroscopy on-line measurement analysis system and method
CN110244108A (en) * 2019-07-05 2019-09-17 杭州西湖电子研究所 A kind of angular difference three-dimensional figure spectrum expression representing wide area dielectric loss
CN110244108B (en) * 2019-07-05 2021-09-21 杭州西湖电子研究所 Angle difference three-dimensional map expression method for representing wide-area dielectric loss
CN110554270A (en) * 2019-08-24 2019-12-10 上海佳特高电压电气设备有限公司 Power capacitance test line measurement and control system

Also Published As

Publication number Publication date
CN1232831C (en) 2005-12-21

Similar Documents

Publication Publication Date Title
CN1232831C (en) Capacitive power equipment medium loss on-line monitoring method and device
CA2192856C (en) Monitoring of internal partial discharges in a power transformer
CN1234014C (en) Power cable local discharge on-line monitoring method and device
CN2718591Y (en) Dielectric loss on-line monitoring device for capacitive electric equipment
CN105277857B (en) A kind of bushing shell for transformer of monitoring on-line makes moist the method for defect
CN108710074A (en) A kind of partial discharge of switchgear detecting system based on Radio Transmission Technology
CN103913681A (en) System and method for detecting partial discharge under high-frequency voltage
CN101556299A (en) Method for detecting micro deformation of transformer winding
CN102129763A (en) CVT (Capacitor Voltage Transformer) online monitoring system
WO2003063020A1 (en) Systems and methods for multiple winding impulse frequency response analysis test
CN113358914B (en) Voltage measurement circuit, voltage measurement method thereof and voltage measurement equipment
Farag et al. On-line partial discharge calibration and monitoring for power transformers
CN108680843A (en) A kind of method for detection of partial discharge of switch cabinet based on Radio Transmission Technology
CN111289858A (en) Method for judging partial discharge inside transformer
CN201622316U (en) Capacitive equipment current-leaking measuring device
CN106249054A (en) Capacitance type potential transformer and integration detection sensor thereof
CN212905251U (en) GIS sound and electricity combined partial discharge detector
CN2718593Y (en) Electric cable local discharge on-line monitoring apparatus
CN102645574A (en) On-site transient overvoltage measuring method based on network transfer function calculation
Sofian et al. Interpretation of transformer FRA measurement results using winding equivalent circuit modelling technique
CN103913654A (en) Method and device for identifying fault feature of grounding electrode of high-voltage direct-current transmission system
CN202512199U (en) Measuring device for identifying partial discharge modes of transformer
CN215728764U (en) Integrated calibration system of transformer equipment insulation on-line monitoring device
McDermid et al. Partial discharge screening test for internal voids and delaminations in stator coils and bars
Yonghong et al. On-line partial discharge monitor system of XLPE power cable based on virtual instrument

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
C17 Cessation of patent right
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20051221

Termination date: 20130517