CN108107322A - A kind of Power Cable Fault Location Methods - Google Patents

A kind of Power Cable Fault Location Methods Download PDF

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Publication number
CN108107322A
CN108107322A CN201711366002.2A CN201711366002A CN108107322A CN 108107322 A CN108107322 A CN 108107322A CN 201711366002 A CN201711366002 A CN 201711366002A CN 108107322 A CN108107322 A CN 108107322A
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msub
mrow
signal
backward
matrix
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CN108107322B (en
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黄知超
覃思明
王斌
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Guilin University of Electronic Technology
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Guilin University of Electronic Technology
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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
    • G01R31/08Locating faults in cables, transmission lines, or networks
    • G01R31/081Locating faults in cables, transmission lines, or networks according to type of conductors
    • G01R31/085Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution lines, e.g. overhead
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y04S10/52Outage or fault management, e.g. fault detection or location

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Locating Faults (AREA)
  • Medicines Containing Antibodies Or Antigens For Use As Internal Diagnostic Agents (AREA)

Abstract

The invention discloses a kind of Power Cable Fault Location Methods, it is characterized in that, include the following steps:1)Fault-signal extracts;2)Calculate failure variable signal;3)Failure variable signal backward is overturn;4)Build backward flip matrix;5)Calculate auxiliary backward flip matrix;6)Structure improves backward flip matrix;7)Make Eigenvalues Decomposition to improving backward flip matrix;8)Characteristic value sequence and failure judgement number;9)It finds spectral function peak value and determines abort situation.This method is that a kind of detection, precision in real time need not rely on the bandwidth of measuring signal, and multiple fault-signals can be detected simultaneously, have very high resolution ratio, accuracy of detection and stability.

Description

A kind of Power Cable Fault Location Methods
Technical field
The present invention relates to Power System Faults Detection fields, are specifically a kind of Power Cable Fault Location Methods.
Background technology
In entire energy resource system, electric energy have irreplaceable role, development concerning a country with society just Often whether running, it is referred to as " nerve " and " artery " of national economy.The conveying of electric energy be unable to do without transmission line of electricity, conventional transmission lines Road uses overhead type, but since this transmission line of electricity takes up a large area, unsightly, and due to being chronically exposed in air, This power transmission mode is usually by external interference, it is easy to break down.
Since cable is embedded in underground or wall, the beauty in city is not both interfered with, and can preferably avoid the external world The various interference of environment.Therefore, with the fast development of urbanization and the continuous promotion for requirement of beautifying the environment, power cable is just Progressively substitute original overhead transmission line, be widely used in power system transmission line.
Compared to other power transmission modes, cable power transmission is more safe and stable.However, cable there is also dielectric aging, The problems such as over-voltage breakdown, chemical attack, humidified insulation, unqualified annex quality.With the increase of cable run time, cable The possibility of failure also increases therewith.Since power cable is often laid in underground or wall, the concealment of this laying causes Fault detect difficulty increases, and extends troubleshooting time, seriously affects production, the normal operation of life.It is especially dangerous at some Place, such as:Mine, since underground is containing a large amount of flammable particles, explosive gas, if cannot fix a breakdown in time, it is easy to The secondary hazards such as gas explosion are caused, seriously jeopardize the personal safety of staff.Therefore, a kind of quick, accurate detection of research The method of power cable fault position, to ensure production and living be normally carried out and personal safety is of great significance.
According to different range measurement principles, conventional failure ranging can be divided into impedance method and traveling wave method.Impedance method is by measuring circuit The voltage and current of one end according to the distributed constant of transmission line of electricity, obtains failure using Ohm's law and mismatches point, i.e. fault bit It puts.The advantages of this method, is:Principle is simple, of low cost, realization is easy etc..However, the precision of impedance method is subject to circuit The factors such as structure, fault resstance influence, and application effect is not ideal enough, therefore the scope of application is small.Traveling wave method is by gathering failed row Ripple travels to the time used in trouble point from measurement point, further according to the spread speed of traveling wave in the cable, realizes that the failure of cable is surveyed Away from.Although this method is centainly promoted in range accuracy, still have several drawbacks, such as:Single end distance measurement secondary counter Weak output signal is penetrated, it is not easy to identify;Both-end distance measuring calculates complexity, and of high cost, therefore, the application of traveling wave method also has certain limitation.
Although in conclusion current power cable transmission line fault distance-finding method has obtained centainly in terms of accuracy of detection It is promoted, but under complicated line construction not yet environment, these methods are still difficult to ensure that safe and stable power supply.
Multi-signal sorting algorithm is a kind of important Estimation of Spatial Spectrum method, its basic thought is by exporting signal Backward flip matrix carry out Eigenvalues Decomposition, by the Feature Space Decomposing of signal be with signal component corresponding signal subspace And with the orthogonal noise subspace of signal component, the position of signal is then estimated using the orthogonality in the two spaces, by There is very high resolution ratio, estimated accuracy and stability in multi-signal sorting algorithm, examined while realizing multiple faults information It surveys, therefore the algorithm is subject to the research and application of numerous scholars.
The content of the invention
The purpose of the present invention is in view of the deficiencies of the prior art, and provide a kind of Power Cable Fault Location Methods.It is this Method is that a kind of detection, precision in real time need not rely on the bandwidth of measuring signal, and multiple fault-signals can be carried out simultaneously Detection has very high resolution ratio, accuracy of detection and stability.
Realizing the technical solution of the object of the invention is:
A kind of Power Cable Fault Location Methods, include the following steps:
1) fault-signal extracts:Current signal before and after measurement cable fault, is denoted as X (1) and X (2) respectively;
2) failure variable signal X is calculated, i.e.,
X=X (2)-X (1) (1);
3) failure variable signal backward is overturn:Because backward overturning has adapted local cosine transform characteristic, the failure letter after overturning Number enhanced, non-faulting signal further weakens, and the acquisition of backward energizing signal uses Digital Signal Processing or simulation Signal processing technology.Digital Signal Processing main flow is:Time-domain signal X is converted into frequency-region signal, then to frequency domain Signal makees phase conjugation conversion, and backward energizing signal can be obtained finally by inverse Fourier transform;Analog signal processing technology Using the physical mechanism of known analog circuit system, signal is overturn;
4) backward flip matrix T is builtX, i.e.,
TX=XXH (2)
Wherein, H representing matrixes conjugate transposition;
5) auxiliary backward flip matrix T is calculatedY:Including
(1) companion matrix Y, order are constructed
Y=JMX* (3)
Wherein, X*For the conjugation of X, JMFor M rank switching matrixs, element is all 1 on counter-diagonal, remaining element is all 0;
(2) the backward flip matrix T of companion matrix Y is calculatedY, i.e.,
Traditional backward overturning Multiple signal classification there are coherent signal detection it is bad the problem of, the technical program is asked for this Topic proposes a kind of improvement backward overturning multi-signal sorting algorithm, ensures in coherent signal processing, can effectively solve the problem that aliasing is asked Topic, accurate detection cable failure improve fault detection accuracy;
6) structure improves backward flip matrix:I.e.
T=TX+TY(5);
7) Eigenvalues Decomposition is made to improving backward flip matrix:I.e.
T=V Λ VH (6)
Wherein, Λ is arranged in decreasing order the diagonal matrix formed, i.e. λ by characteristic value1≥λ2≥…≥λM, then have
And V is the corresponding feature vector of each characteristic value;
8) characteristic value sequence and failure judgement number:Backward flip matrix is divided into signal subspace matrix and noise is empty Between matrix two parts, preceding L characteristic value form signal subspace, and L is signal number, remaining M-L characteristic value composition noise Subspace then has:
Wherein, VS=[v1,v2,...,vL],VN=[vL+1,vL+2,...,vM], definition signal subspace and noise subspace Corresponding diagonal matrix is respectively ΛSAnd ΛN, then have
9) find spectral function peak value and determine abort situation:Utilize the property that signal subspace and noise subspace are mutually orthogonal Texture makes pseudo- spectral function, is imaged according to pseudo- spectral function value, and backward overturning multi signal puppet spectral function expression formula is:
In formula
For sensing point rpScattering object corresponding Green's function vector,Represent being total to for n-th noise subspace Yoke because backward flip matrix T is Hermitian matrix, decompose feature vector it is mutually orthogonal, i.e., signal subspace with make an uproar Phone orthogonal space, when detecting location is close to abort situation rpWhen, inner productZero is leveled off to, at this point, pseudo- spectrum P (rp) There is a peak value, by finding pseudo- spectrum peak, can determine corresponding abort situation, transmit electricity so as to fulfill power cable fault Line fault ranging.
Backward overturning refers to time-domain signal carry out backout processing, i.e., first enter to go out afterwards, after enter first to go out, be equivalent to frequency domain Phase conjugation converts, and the time focuses on and space-focusing is the critical nature of backward overturning.Time focusing is referred in complex environment Under, after Multiple Scattering and reflection, the signal for distribution of being scattered at a time converges signal, and is formed one strong Strong time focusing pulse signal;Space-focusing refers to that under complicated communication environments signal can be connect with adapted local cosine transform in specified Receive position, but other points outside the position, the signal received is very weak even without gathering based on backward overturning space-time Burnt characteristic, fields, the technical program such as backward overturning is widely used in positioning, be imaged, wireless communication overturn skill using backward Art carries out fault location.
The characteristics of the technical program, is:
1. this method belongs to frequency domain method, compared to time domain method, measurement accuracy from measuring signal bandwidth contributions;
2. this method requires sampled data low, remain to realize accurate detection in the case that sampled data is less;
3. backward overturning multi-signal sorting algorithm has adapted local cosine transform characteristic, can effectively solve the problem that by focusing on because of failure Weak output signal and the problem of failing to judge occurred improve the accuracy of fault detect;
4. improving backward overturning multi-signal sorting algorithm can be used not only for unrelated signal, but also suitable for related letter Number, expand application range, improve accuracy of detection.
This method is that a kind of detection, precision in real time need not rely on the bandwidth of measuring signal, can be simultaneously to multiple Fault-signal is detected, and has very high resolution ratio, accuracy of detection and stability.
Description of the drawings
Fig. 1 is the method flow schematic diagram of embodiment.
Specific embodiment
Present invention is further elaborated with reference to the accompanying drawings and examples, but is not limitation of the invention.
Embodiment:
With reference to Fig. 1, a kind of Power Cable Fault Location Methods include the following steps:
1) fault-signal extracts:Current signal before and after measurement cable fault, is denoted as X (1) and X (2) respectively;
2) failure variable signal X is calculated, i.e.,
X=X (2)-X (1) (1);
3) failure variable signal backward is overturn:Because backward overturning has adapted local cosine transform characteristic, the failure letter after overturning Number enhanced, non-faulting signal further weakens, and the acquisition of backward energizing signal uses Digital Signal Processing or simulation Signal processing technology.Digital Signal Processing main flow is:Time-domain signal X is converted into frequency-region signal, then to frequency domain Signal makees phase conjugation conversion, and backward energizing signal can be obtained finally by inverse Fourier transform;Analog signal processing technology Using the physical mechanism of known analog circuit system, signal is overturn, this example can be obtained inverse using inverse Fourier transform Sequence energizing signal;
4) backward flip matrix T is builtX, i.e.,
TX=XXH (2)
Wherein, H representing matrixes conjugate transposition;
5) auxiliary backward flip matrix T is calculatedY:Including
(1) companion matrix Y, order are constructed
Y=JMX* (3)
Wherein, X*For the conjugation of X, JMFor M rank switching matrixs, element is all 1 on counter-diagonal, remaining element is all 0;
(2) the backward flip matrix T of companion matrix Y is calculatedY, i.e.,
Traditional backward overturning Multiple signal classification there are coherent signal detection it is bad the problem of, the technical program is asked for this Topic proposes a kind of improvement backward overturning multi-signal sorting algorithm, ensures in coherent signal processing, can effectively solve the problem that aliasing is asked Topic, accurate detection cable failure improve fault detection accuracy;
6) structure improves backward flip matrix:I.e.
T=TX+TY(5);
7) Eigenvalues Decomposition is made to improving backward flip matrix:I.e.
T=V Λ VH (6)
Wherein, Λ is arranged in decreasing order the diagonal matrix formed, i.e. λ by characteristic value1≥λ2≥…≥λM, then have
And V is the corresponding feature vector of each characteristic value;
8) characteristic value sequence and failure judgement number:Backward flip matrix is divided into signal subspace matrix and noise is empty Between matrix two parts, preceding L characteristic value form signal subspace, and L is signal number, remaining M-L characteristic value composition noise Subspace then has:
Wherein, VS=[v1,v2,...,vL],VN=[vL+1,vL+2,...,vM], definition signal subspace and noise subspace Corresponding diagonal matrix is respectively ΛSAnd ΛN, then have
9) find spectral function peak value and determine abort situation:Utilize the property that signal subspace and noise subspace are mutually orthogonal Texture makes pseudo- spectral function, is imaged according to pseudo- spectral function value, and backward overturning multi signal puppet spectral function expression formula is:
In formula
For sensing point rpScattering object corresponding Green's function vector,Represent being total to for n-th noise subspace Yoke because backward flip matrix T is Hermitian matrix, decompose feature vector it is mutually orthogonal, i.e., signal subspace with make an uproar Phone orthogonal space, when detecting location is close to abort situation rpWhen, inner productZero is leveled off to, at this point, pseudo- spectrum P (rp) There is a peak value, by finding pseudo- spectrum peak, can determine corresponding abort situation, transmit electricity so as to fulfill power cable fault Line fault ranging.

Claims (1)

1. a kind of Power Cable Fault Location Methods, it is characterized in that, include the following steps:
1) fault-signal extracts:Current signal before and after measurement cable fault, is denoted as X (1) and X (2) respectively;
2) failure variable signal X is calculated, i.e.,
X=X (2)-X (1) (1);
3) failure variable signal backward is overturn:The acquisition of backward energizing signal is used at Digital Signal Processing or analog signal Reason technology, Digital Signal Processing main flow are:Time-domain signal X is converted into frequency-region signal, then frequency-region signal is made Phase conjugation converts, and backward energizing signal can be obtained finally by inverse Fourier transform;Analog signal processing technology is using Know the physical mechanism of analog circuitry system, signal is overturn;
4) backward flip matrix T is builtX, i.e.,
TX=XXH (2)
Wherein, H representing matrixes conjugate transposition;
5) auxiliary backward flip matrix T is calculatedY:Including
(1) companion matrix Y, order are constructed
Y=JMX* (3)
Wherein, X*For the conjugation of X, JMFor M rank switching matrixs, element is all 1 on counter-diagonal, remaining element is all 0;
(2) the backward flip matrix T of companion matrix Y is calculatedY, i.e.,
<mrow> <msub> <mi>T</mi> <mi>Y</mi> </msub> <mo>=</mo> <msup> <mi>YY</mi> <mi>H</mi> </msup> <mo>=</mo> <msub> <mi>J</mi> <mi>M</mi> </msub> <msubsup> <mi>T</mi> <mi>X</mi> <mo>*</mo> </msubsup> <msub> <mi>J</mi> <mi>M</mi> </msub> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>4</mn> <mo>)</mo> </mrow> <mo>;</mo> </mrow>
6) structure improves backward flip matrix:I.e.
T=TX+TY(5);
7) Eigenvalues Decomposition is made to improving backward flip matrix:I.e.
T=V Λ VH (6)
Wherein, Λ is arranged in decreasing order the diagonal matrix formed, i.e. λ by characteristic value1≥λ2≥...≥λM, then have
And V is the corresponding feature vector of each characteristic value;
8) characteristic value sequence and failure judgement number:Backward flip matrix is divided into signal subspace matrix and noise subspace square Battle array two parts, preceding L characteristic value form signal subspace, and L is signal number, and it is empty that remaining M-L characteristic value forms noise Between, then have:
<mrow> <mi>T</mi> <mo>=</mo> <msub> <mi>V</mi> <mi>S</mi> </msub> <msub> <mi>&amp;Lambda;</mi> <mi>S</mi> </msub> <msubsup> <mi>V</mi> <mi>S</mi> <mi>H</mi> </msubsup> <mo>+</mo> <msub> <mi>V</mi> <mi>N</mi> </msub> <msub> <mi>&amp;Lambda;</mi> <mi>N</mi> </msub> <msubsup> <mi>V</mi> <mi>N</mi> <mi>H</mi> </msubsup> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>8</mn> <mo>)</mo> </mrow> </mrow>
Wherein, VS=[v1,v2,...,vL],VN=[vL+1,vL+2,...,vM], definition signal subspace and noise subspace correspond to Diagonal matrix be respectively ΛSAnd ΛN, then have
9) find spectral function peak value and determine abort situation:Utilize the property structure that signal subspace and noise subspace are mutually orthogonal Pseudo- spectral function is made, is imaged according to pseudo- spectral function value, backward overturning multi signal puppet spectral function expression formula is:
<mrow> <mi>P</mi> <mrow> <mo>(</mo> <msub> <mi>r</mi> <mi>p</mi> </msub> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mn>1</mn> <mrow> <msubsup> <mi>&amp;Sigma;</mi> <mrow> <mi>n</mi> <mo>=</mo> <mi>L</mi> <mo>+</mo> <mn>1</mn> </mrow> <mi>M</mi> </msubsup> <mo>|</mo> <mo>&lt;</mo> <msubsup> <mi>v</mi> <mi>n</mi> <mo>*</mo> </msubsup> <mo>,</mo> <mover> <mi>G</mi> <mo>&amp;OverBar;</mo> </mover> <mrow> <mo>(</mo> <msub> <mi>r</mi> <mi>p</mi> </msub> <mo>)</mo> </mrow> <mo>&gt;</mo> <msup> <mo>|</mo> <mn>2</mn> </msup> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>11</mn> <mo>)</mo> </mrow> </mrow>
In formula
<mrow> <mover> <mi>G</mi> <mo>&amp;OverBar;</mo> </mover> <mrow> <mo>(</mo> <msub> <mi>r</mi> <mi>p</mi> </msub> <mo>)</mo> </mrow> <mo>=</mo> <mo>{</mo> <mi>G</mi> <mo>(</mo> <msub> <mi>r</mi> <mi>m</mi> </msub> <mo>,</mo> <msub> <mi>r</mi> <mi>p</mi> </msub> <mo>}</mo> <mo>=</mo> <msup> <mrow> <mo>&amp;lsqb;</mo> <mi>G</mi> <mrow> <mo>(</mo> <msub> <mi>r</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>r</mi> <mi>p</mi> </msub> <mo>)</mo> </mrow> <mo>,</mo> <mi>G</mi> <mrow> <mo>(</mo> <msub> <mi>r</mi> <mn>2</mn> </msub> <mo>,</mo> <msub> <mi>r</mi> <mi>p</mi> </msub> <mo>)</mo> </mrow> <mo>,</mo> <mo>...</mo> <mo>,</mo> <mi>G</mi> <mrow> <mo>(</mo> <msub> <mi>r</mi> <mi>M</mi> </msub> <mo>,</mo> <msub> <mi>r</mi> <mi>p</mi> </msub> <mo>)</mo> </mrow> <mo>&amp;rsqb;</mo> </mrow> <mi>T</mi> </msup> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>12</mn> <mo>)</mo> </mrow> </mrow>
For sensing point rpScattering object corresponding Green's function vector,Represent the conjugation of n-th of noise subspace, because It is Hermitian matrix for backward flip matrix T, the feature vector decomposed is mutually orthogonal, i.e. signal subspace and noise is empty Between it is orthogonal, when detecting location is close to abort situation rpWhen, inner productZero is leveled off to, at this point, pseudo- spectrum P (rp) occur one A peak value by finding pseudo- spectrum peak, can determine corresponding abort situation, so as to fulfill the event of power cable fault transmission line of electricity Hinder ranging.
CN201711366002.2A 2017-12-18 2017-12-18 Power cable fault location method Expired - Fee Related CN108107322B (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108920422A (en) * 2018-06-28 2018-11-30 武汉大学 A kind of multiresolution method for solving of wide area multi-layered earth Green's function
CN113049918A (en) * 2021-03-22 2021-06-29 哈尔滨工业大学 Fault degree evaluation method and system for cable multipoint soft fault
CN113075496A (en) * 2021-02-25 2021-07-06 深圳供电局有限公司 Cable fault positioning method and device, computer equipment and storage medium

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101702000A (en) * 2009-11-26 2010-05-05 华北电力大学(保定) Phased ultrasound locating method and system of partial discharge of transformer
CN101718833A (en) * 2009-12-15 2010-06-02 西南交通大学 Method of single end distance measurement of power transmission line malfunction based on traveling wave inherent frequency extraction
CN102096021A (en) * 2010-12-08 2011-06-15 西南交通大学 Traveling wave natural frequency-based power transmission network failure networking positioning and distance measurement method
CN102095996A (en) * 2010-12-04 2011-06-15 西南交通大学 Malfunction phase selecting method of high-voltage transmission circuit based on natural frequency of travelling wave
CN103200136A (en) * 2013-03-07 2013-07-10 东南大学 Estimating method for frequency domain super-resolution multi-path time delay
CN104655425A (en) * 2015-03-06 2015-05-27 重庆大学 Bearing fault classification diagnosis method based on sparse representation and LDM (large margin distribution machine)
CN106371065A (en) * 2016-09-30 2017-02-01 电子科技大学 Method for reducing range-based localization error by using position-unknown nodes
CN107091973A (en) * 2017-07-05 2017-08-25 西南交通大学 A kind of localization method of HVDC transmission line lightning strike spot and short circuit trouble point

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101702000A (en) * 2009-11-26 2010-05-05 华北电力大学(保定) Phased ultrasound locating method and system of partial discharge of transformer
CN101718833A (en) * 2009-12-15 2010-06-02 西南交通大学 Method of single end distance measurement of power transmission line malfunction based on traveling wave inherent frequency extraction
CN102095996A (en) * 2010-12-04 2011-06-15 西南交通大学 Malfunction phase selecting method of high-voltage transmission circuit based on natural frequency of travelling wave
CN102096021A (en) * 2010-12-08 2011-06-15 西南交通大学 Traveling wave natural frequency-based power transmission network failure networking positioning and distance measurement method
CN103200136A (en) * 2013-03-07 2013-07-10 东南大学 Estimating method for frequency domain super-resolution multi-path time delay
CN104655425A (en) * 2015-03-06 2015-05-27 重庆大学 Bearing fault classification diagnosis method based on sparse representation and LDM (large margin distribution machine)
CN106371065A (en) * 2016-09-30 2017-02-01 电子科技大学 Method for reducing range-based localization error by using position-unknown nodes
CN107091973A (en) * 2017-07-05 2017-08-25 西南交通大学 A kind of localization method of HVDC transmission line lightning strike spot and short circuit trouble point

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
HUANG ZHICHAO 等: "A Control Method for SVPWM-based STATCOM Using Active-reactive Current Decouple under dq Coordinate System", 《2012 INTERNATIONAL CONFERENCE AND EXPOSITION ON ELECTRICAL AND POWER ENGINEERING (EPE 2012), 25-27 OCTOBER, IASI, ROMANIA》 *
HUANG ZHICHAO 等: "Short Circuit Current Calculation of Non Full Measured Distribution Network Based on Modified Power Flow Algorithm", 《2014 IEEE》 *
王斌 等: "全并联AT供电牵引网故障测距方案的研究", 《电气化铁道》 *
邬林勇 等: "利用CVT二次信号的频域行波故障测距方法", 《电力系统自动化》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108920422A (en) * 2018-06-28 2018-11-30 武汉大学 A kind of multiresolution method for solving of wide area multi-layered earth Green's function
CN113075496A (en) * 2021-02-25 2021-07-06 深圳供电局有限公司 Cable fault positioning method and device, computer equipment and storage medium
CN113049918A (en) * 2021-03-22 2021-06-29 哈尔滨工业大学 Fault degree evaluation method and system for cable multipoint soft fault
CN113049918B (en) * 2021-03-22 2024-03-22 哈尔滨工业大学 Fault degree assessment method and system for cable multipoint soft fault

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