CN104965156A - Fault pole selecting method using polarline fault voltage for PCA cluster analysis - Google Patents

Fault pole selecting method using polarline fault voltage for PCA cluster analysis Download PDF

Info

Publication number
CN104965156A
CN104965156A CN201510371576.3A CN201510371576A CN104965156A CN 104965156 A CN104965156 A CN 104965156A CN 201510371576 A CN201510371576 A CN 201510371576A CN 104965156 A CN104965156 A CN 104965156A
Authority
CN
China
Prior art keywords
pca
fault
pole
positive
voltage
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
CN201510371576.3A
Other languages
Chinese (zh)
Other versions
CN104965156B (en
Inventor
束洪春
唐娜
田鑫萃
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.)
Kunming University of Science and Technology
Original Assignee
Kunming University of Science and Technology
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 Kunming University of Science and Technology filed Critical Kunming University of Science and Technology
Priority to CN201510371576.3A priority Critical patent/CN104965156B/en
Publication of CN104965156A publication Critical patent/CN104965156A/en
Application granted granted Critical
Publication of CN104965156B publication Critical patent/CN104965156B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Abstract

The invention relates to a fault pole selecting method using polarline fault voltage for PCA cluster analysis, which belongs to the technical field of direct current transmission line protection. According to the invention, electromagnetic transient simulation is used; under the condition that step length is 0.1ms, an assumption that positive and negative pole lines have metal grounding faults is carried out; n fault positions are set along the whole line MN from near to far, so as to acquire voltage curves of the observation ends of positive and negative pole lines; the voltage of a direct current line in normal operation is used as reference, the acquired voltage curves of the observation ends of positive and negative pole lines are respectively normalized; the normalized voltage curves are mapped to a PCA space to acquire the cluster of the voltage curves in the PCA space; according to the Euclidean distance between the PCA projection of test data and the PCA cluster center of the voltage curves, whether a pole is failed is determined; and theoretical analysis and a lot of simulation show that the fault pole selecting method provided by the invention is effective.

Description

A kind of fault utilizing polar curve false voltage to carry out PCA cluster analysis selects pole method
Technical field
The present invention relates to a kind of fault utilizing polar curve false voltage to carry out PCA cluster analysis and select pole method, belong to protection of direct current supply line technical field.
Background technology
In recent years, along with the development of high-power electric and electronic technology, D.C. high voltage transmission is also achieved.On Dec 28th, 2009 China's extra high voltage direct current transmission line cloud wide ± 800kV DC power transmission line realizes one pole and goes into operation, within 2010, realize bipolar total head and run, have again many extra high voltage direct current transmission lines to realize bipolar operation afterwards.Bipolar method of operation dirigibility is good, reliability is high, but during bipolar operation, when breaking down in a pole, non-faulting pole can exist and to be coupled the false voltage and current component of coming by fault polar curve, therefore needs to carry out fault and selects pole.
Only rely on voltage jump amount Δ u to determine fault pole in existing SIEMENS traveling-wave protection, should ensure fault pole precision maneuver and non-faulting is extremely reliably failure to actuate, its threshold value is difficult to adjust.ABB protection is constructed by the polarity of structure topotype ripple to select pole method, and have absolute selectivity, but the fault of ABB selects pole method, its threshold value is also not easy to adjust.We propose the method utilizing PCA cluster analysis, without the need to threshold value of adjusting, make fault select pole more simple.
Summary of the invention
The technical problem to be solved in the present invention proposes a kind of fault utilizing polar curve false voltage to carry out PCA cluster analysis to select pole method, in order to solve the problem.
Technical scheme of the present invention is: a kind of fault utilizing polar curve false voltage to carry out PCA cluster analysis selects the method for pole to be: suppose positive and negative electrode circuit generation metallic earthing fault respectively, along circuit MN total length by near to far establishing 300 abort situation altogether.Step-length is 0.1ms, time window be chosen for 3ms, by electromagnetic transient simulation obtain respectively positive and negative electrode circuit observe end voltage curve bunch.Voltage when normally running with DC line is benchmark, is normalized by the voltage curve bunch of the positive and negative electrode circuit of acquisition observation end respectively, obtains the cluster of voltage curve bunch in PCA space.Size according to test data Euclidean distance bunch between PCA cluster centre in PCA projection and voltage curve judges whether this pole breaks down.Concrete steps are as follows:
(1) extremely far establish 300 abort situation altogether along circuit MN total length by near, suppose positive and negative electrode circuit generation metallic earthing fault respectively.Step-length is 0.1ms, time window be chosen for 3ms, obtain by electromagnetic transient simulation the voltage curve bunch that positive pole circuit observes end, be designated as S 1, the voltage curve bunch observed by electromagnetic transient simulation acquisition negative pole circuit, is designated as S 2;
(2) voltage when normally running with DC line is benchmark, and 900 the false voltage curve family that amount to emulation obtained are normalized.
(3) construct positive electrode fault and select pole method PCA +pole method PCA is selected with structure negative pole fault -.The voltage curve bunch of the positive pole circuit observation end after normalization is mapped to PCA space, obtains PCA +space.At PCA +spatially positive pole line fault flocks together, and forms a cluster centre C 1+=(q 11+, q 21+), the non-fault of positive pole circuit flocks together, and forms a cluster centre C 2+=(q 12+, q 22+).Meanwhile, at PCA -spatially negative pole line fault flocks together, and forms a cluster centre C 1-=(q 11-, q 21-), the non-fault of positive pole circuit flocks together, and forms a cluster centre C 2-=(q 12-, q 22-).
(4), after protection starts, when choosing, window is chosen for the line voltage curve in 3ms, carries out PCA cluster analysis, is mapped to PCA after being normalized +and PCA -, obtain projection value o t+(q 1+, q 2+) and o t-(q 1-, q 2-).Calculate test data in distance bunch between PCA cluster centre of PCA projection and voltage curve and Euclidean distance.
For positive pole circuit
d s + = ( q 1 + - q 1 s + ) 2 + ( q 1 + - q 2 s + ) 2 - - - ( 1 )
In formula, s=1,2.Relatively d 1+and d 2+, determine faulty line.If d min=d 1+, positive pole line fault, if d min=d 2+, the non-fault of positive pole circuit.
In like manner, for negative pole circuit
d s - = ( q 1 - - q 1 s - ) 2 + ( q 1 - - q 2 s - ) 2 - - - ( 2 )
In formula, s=1,2.Relatively d 1-and d 2-, determine faulty line.If d min=d 1, negative pole line fault, if d min=d 2+, the non-fault of negative pole circuit.
Principle of the present invention is:
One, principal component analysis (PCA)
Principal component analysis (PCA) (Principal Component Analysis, i.e. PCA) is introduced by Pearson came, is developed by Hotelling afterwards.PCA is a kind of statistical analysis technique original multiple variable being divided into a few overall target.From mathematical angle, this is a kind of dimension-reduction treatment technology.PCA, through being usually used in the dimension reducing data set, keeps the feature maximum to variance contribution of data centralization simultaneously.Data Placement is gone out multiple major component by PCA, and low order composition often can retain the most important aspect of data.By retaining low order major component, ignoring the method for high-order major component, the basis of reservation data set information as much as possible realizes data set dimensionality reduction.For a system, if can portray Study system from p variable and describe, thus form observing matrix X, its form is
X = x 11 x 12 ... x 1 n x 21 x 22 ... x 2 n . . . . . . . . . . . . x p 1 x p 2 ... x p n - - - ( 1 )
PCA passes through n variable x i(i=1,2,3 ..., n), carry out linear transformation, form new variable Z, wherein
Z=(z ij)=V TX (2)
Wherein,
Then its a kth major component is z k=v k tx, z 1that in major component, variance is maximum, z 2be and z 1least be correlated with and variance the maximum; z kbe and z 1, z 2..., z k-1uncorrelated and variance the maximum.
To the some i of under three dimensions, the coordinate of its original variable is x 1, x 2, x 3, shown in (2-62) and formula (2-63).
PC 1=a 1x i1+a 2x i2+a 3x i3(3)
PC 2=b 1x i1+b 2x i2+b 3x i3(4)
Namely
PC 1 PC 2 = ( x i 1 , x i 2 , x i 3 ) a 1 b 1 a 2 b 2 a 3 b 3 - - - ( 5 )
After the conversion such as, rotation flexible through coordinate translation, yardstick to original coordinate system, obtain one group of new, mutually orthogonal coordinate axis v 1, v 2.Visible, the process of PCA i.e. the process of rotation of coordinate, each major component expression formula is exactly the transformational relation of new coordinate system and former coordinate system, and in new coordinate system, the direction of each coordinate axis is exactly the maximum direction of raw data variance.
Two, Euclidean distance
Euclidean distance (Euclidean distance), also euclidean metric, euclidean metric is claimed, be a distance definition usually adopted, refer to the actual distance between two points in m-dimensional space, or the natural length of vector (namely this point is to the distance of initial point).Euclidean distance in two and three dimensions space is exactly the actual range between 2.
2 a (x on two dimensional surface 1, y 1) and b (x 2, y 2) between Euclidean distance:
d 12 = ( x 1 - x 2 ) 2 + ( y 1 - y 2 ) 2 - - - ( 6 )
Three dimensions 2 a (x 1, y 1, z 1) and b (x 2, y 2, z 2) between Euclidean distance:
d 12 = ( x 1 - x 2 ) 2 + ( y 1 - y 2 ) 2 + ( z 1 - z 2 ) 2 - - - ( 7 )
Two n-dimensional vector a (x 11, x 12..., x 1n) and b (x 21, x 22..., x 2n) between Euclidean distance:
d 12 = Σ k = 1 n ( x 1 k - x 2 k ) 2 - - - ( 8 )
The invention has the beneficial effects as follows:
1, the fault utilizing polar curve false voltage to carry out PCA cluster analysis selects the method for pole, does not use the single setting valve of one dimension, makes protection more reliable;
2, as herein describedly select pole method, only use one-terminal data, principle is simple, does not rely on passage, invests little, form relatively simple.
Accompanying drawing explanation
Fig. 1 be embodiment of the present invention cloud wide ± 800kV DC transmission system structural drawing;
Fig. 2 is positive pole circuit observation terminal voltage curve family and PCA cluster result thereof under positive pole line fault and negative pole line fault;
Fig. 3 is negative pole circuit observation end curve family and PCA cluster result thereof under negative pole line fault and positive pole line fault.
Embodiment
Below in conjunction with the drawings and specific embodiments, the invention will be further described.
Set up as shown in Figure 1 using cloud wide ± 800kV extra-high voltage DC transmission system is as realistic model.The AC reactive compensation capacity of rectification side and inverter side is respectively 3000 and 3040Mvar, and every pole convertor unit is composed in series by 2 12 pulse transverters, and DC power transmission line total length is 1500km.The smoothing reactor of 400mH is equipped with in circuit both sides, and DC filter is 12/24/36 three-tuned filter, and rectification side ground electrode circuit total length is 109km, and inverter side ground electrode circuit total length is 80km.The fault utilizing polar curve false voltage to carry out PCA cluster analysis selects a method for pole method, and concrete steps are as follows:
(1) extremely far 300 abort situation are established altogether along circuit MN total length by near, suppose positive and negative electrode circuit generation metallic earthing fault respectively, step-length is set to 0.1ms, time window be chosen for 0.3ms, the voltage curve bunch that positive pole circuit observes end is obtained by electromagnetic transient simulation, as Fig. 2 (a), the voltage curve bunch of negative pole circuit observation end, as Fig. 3 (a);
(2) voltage amounted to when 1200 false voltage curve family normally run with DC line emulation obtained is normalized for benchmark;
(3) construct positive electrode fault and select pole method PCA +pole method PCA is selected with structure negative pole fault -.The voltage curve bunch of the positive pole circuit observation end after normalization is mapped to PCA space, obtains PCA +space.At PCA +spatially positive pole line fault flocks together, and forms a cluster centre C 1+=(q 11+, q 21+), the non-fault of positive pole circuit flocks together, and forms a cluster centre C 2+=(q 12+, q 22+).Meanwhile, at PCA -spatially negative pole line fault flocks together, and forms a cluster centre C 1-=(q 11-, q 21-), the non-fault of positive pole circuit flocks together, and forms a cluster centre C 2-=(q 12-, q 22-).
Embodiment 1: positive pole circuit distance M holds 120km place that earth fault occurs, and transition resistance is 50 Ω.
According to step (4), when choosing, window is chosen for the line voltage curve in 3ms, carries out PCA cluster analysis, is mapped to PCA after being normalized +and PCA -, obtain projection value o t+(q 1+, q 2+) and o t-(q 1-, q 2-).D is obtained according to formula (1) 1+=1.9185 and d 2+=3.6141, and d min+=d 1+, be judged as positive pole line fault.Meanwhile, formula (2) is utilized to obtain d 1-=6.2155, d 2-=0.6960, and d min-=d 2-, be judged as the non-fault of negative pole circuit.
Embodiment 2: negative pole circuit distance M holds 750km place that earth fault occurs, and transition resistance is 50 Ω.
According to step (4), when choosing, window is chosen for the line voltage curve in 3ms, carries out PCA cluster analysis, is mapped to PCA after being normalized +and PCA -, obtain projection value o t+(q 1+, q 2+) and o t-(q 1-, q 2-).D is obtained according to formula (1) 1+=5.5713 and d 2+=0.0505, and d min+=d 2+, be judged as the non-fault of positive pole circuit.Meanwhile, formula (2) is utilized to obtain d 1-=2.5077, d 2-=3.0372, and d min-=d 1-, be judged as negative pole line fault.
Embodiment 3: two-wire line distance M holds 654km place that earth fault occurs, and transition resistance is 50 Ω.
According to step (4), when choosing, window is chosen for the line voltage curve in 3ms, carries out PCA cluster analysis, is mapped to PCA after being normalized +and PCA -, obtain projection value o t+(q 1+, q 2+) and o t-(q 1-, q 2-).D is obtained according to formula (1) 1+=0.1954 and d 2+=5.4059, and d min+=d 1+, be judged as positive pole line fault.Meanwhile, formula (2) is utilized to obtain d 1-=0.1510, d 2-=5.5258, and d min-=d 1-, be judged as negative pole line fault.
By reference to the accompanying drawings the specific embodiment of the present invention is explained in detail above, but the present invention is not limited to above-mentioned embodiment, in the ken that those of ordinary skill in the art possess, various change can also be made under the prerequisite not departing from present inventive concept.

Claims (2)

1. the fault utilizing polar curve false voltage to carry out PCA cluster analysis selects pole method, it is characterized in that: suppose positive and negative electrode circuit generation metallic earthing fault respectively, extremely far 300 abort situation are established altogether by near along circuit MN total length, step-length is 0.1ms, time window be chosen for 3ms, by electromagnetic transient simulation obtain respectively positive and negative electrode circuit observe end voltage curve bunch; Voltage when normally running with DC line is benchmark, is normalized by the voltage curve bunch of the positive and negative electrode circuit of acquisition observation end respectively, obtains the cluster of voltage curve bunch in PCA space; Size according to test data Euclidean distance bunch between PCA cluster centre in PCA projection and voltage curve judges whether this pole breaks down.
2. the fault utilizing polar curve false voltage to carry out PCA cluster analysis according to claim 1 selects pole method, it is characterized in that concrete steps are:
(1) extremely far 300 abort situation are established altogether along circuit MN total length by near, suppose positive and negative electrode circuit generation metallic earthing fault respectively, step-length is 0.1ms, time window be chosen for 3ms, obtain by electromagnetic transient simulation the voltage curve bunch that positive pole circuit observes end, be designated as S 1, the voltage curve bunch observed by electromagnetic transient simulation acquisition negative pole circuit, is designated as S 2;
(2) voltage when normally running with DC line is benchmark, and 1200 the false voltage curve family that amount to emulation obtained are normalized;
(3) construct positive electrode fault and select pole method PCA +pole method PCA is selected with structure negative pole fault -: the voltage curve bunch of the positive pole circuit observation end after normalization is mapped to PCA space, obtains PCA +space, at PCA +spatially positive pole line fault flocks together, and forms a cluster centre C 1+=(q 11+, q 21+), the non-fault of positive pole circuit flocks together, and forms a cluster centre C 2+=(q 12+, q 22+), meanwhile, at PCA -spatially negative pole line fault flocks together, and forms a cluster centre C 1-=(q 11-, q 21-), the non-fault of positive pole circuit flocks together, and forms a cluster centre C 2-=(q 12-, q 22-);
(4), after protection starts, when choosing, window is chosen for the line voltage curve in 3ms, carries out PCA cluster analysis, and is mapped to PCA +and PCA -, obtain projection value o t+(q 1+, q 2+) and o t-(q 1-, q 2-), calculate test data in distance bunch between PCA cluster centre of PCA projection and voltage curve and Euclidean distance:
For positive pole circuit
d s + = ( q 1 + - q 1 s + ) 2 + ( q 1 + - q 2 s + ) 2 - - - ( 1 )
In formula, s=1,2, compare d 1+and d 2+, determine faulty line;
If d min=d 1+, positive pole line fault
If d min=d 2+, the non-fault of positive pole circuit;
In like manner, for negative pole circuit
d s - = ( q 1 - - q 1 s - ) 2 + ( q 1 - - q 2 s - ) 2 - - - ( 2 )
In formula, s=1,2, compare d 1-and d 2-, determine faulty line;
If d min=d 1, negative pole line fault,
If d min=d 2+, the non-fault of negative pole circuit.
CN201510371576.3A 2015-06-30 2015-06-30 A kind of failure that PCA cluster analyses are carried out using polar curve false voltage selects pole method Active CN104965156B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510371576.3A CN104965156B (en) 2015-06-30 2015-06-30 A kind of failure that PCA cluster analyses are carried out using polar curve false voltage selects pole method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510371576.3A CN104965156B (en) 2015-06-30 2015-06-30 A kind of failure that PCA cluster analyses are carried out using polar curve false voltage selects pole method

Publications (2)

Publication Number Publication Date
CN104965156A true CN104965156A (en) 2015-10-07
CN104965156B CN104965156B (en) 2018-02-09

Family

ID=54219199

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510371576.3A Active CN104965156B (en) 2015-06-30 2015-06-30 A kind of failure that PCA cluster analyses are carried out using polar curve false voltage selects pole method

Country Status (1)

Country Link
CN (1) CN104965156B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110717552A (en) * 2019-10-23 2020-01-21 智洋创新科技股份有限公司 Method for determining visible mechanical continuous alarm of power transmission line channel
CN110716101A (en) * 2019-09-05 2020-01-21 广州供电局有限公司 Power line fault positioning method and device, computer and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5825189A (en) * 1994-01-26 1998-10-20 Gec Alsthom Limited Method of locating the position of a fault on a power transmission
CN101806849A (en) * 2010-03-30 2010-08-18 昆明理工大学 Fault grid gating method using polar wave waveform area specific value of extra-high voltage direct-current transmission
CN104133159A (en) * 2014-08-04 2014-11-05 昆明理工大学 Cable mixed line fault section recognition method for PCA clustering analysis by using zero-sequence current
CN104198882A (en) * 2014-07-01 2014-12-10 昆明理工大学 Same-tower double-loop fault line selection method for performing PCA (Principal Component Analysis) clustering analysis by using instantaneous power curve

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5825189A (en) * 1994-01-26 1998-10-20 Gec Alsthom Limited Method of locating the position of a fault on a power transmission
CN101806849A (en) * 2010-03-30 2010-08-18 昆明理工大学 Fault grid gating method using polar wave waveform area specific value of extra-high voltage direct-current transmission
CN104198882A (en) * 2014-07-01 2014-12-10 昆明理工大学 Same-tower double-loop fault line selection method for performing PCA (Principal Component Analysis) clustering analysis by using instantaneous power curve
CN104133159A (en) * 2014-08-04 2014-11-05 昆明理工大学 Cable mixed line fault section recognition method for PCA clustering analysis by using zero-sequence current

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110716101A (en) * 2019-09-05 2020-01-21 广州供电局有限公司 Power line fault positioning method and device, computer and storage medium
CN110716101B (en) * 2019-09-05 2021-11-02 广东电网有限责任公司广州供电局 Power line fault positioning method and device, computer and storage medium
CN110717552A (en) * 2019-10-23 2020-01-21 智洋创新科技股份有限公司 Method for determining visible mechanical continuous alarm of power transmission line channel

Also Published As

Publication number Publication date
CN104965156B (en) 2018-02-09

Similar Documents

Publication Publication Date Title
CN108923398B (en) A kind of DC distribution network protection method based on voltage characteristic traveling wave Similar measure
CN104597378B (en) The fault-line selecting method of the power distribution network containing DG based on the non-power frequency zero-sequence current of transient state
CN107329046B (en) Direct current overhead line lightning stroke identification method based on modulus analysis
CN103954885B (en) The single-ended alignment system of double line down and localization method based on distributed constant
CN108957225B (en) Direct-current distribution line single-end fault location method considering cable distribution capacitance
CN109375052B (en) High-frequency transient component direction pilot protection method and system
CN103633629A (en) High-voltage direct current power transmission line protection method based on wavelet transformation and energy spectrum analysis
CN104391221A (en) Fault phase selection method utilizing phase current gradient sums
CN103267927A (en) Small current grounding system fault line selection method using power frequency component wavelet coefficients to carry out linear fitting detection
CN105259462A (en) Three-phase short circuit current calculating method for double-fed motor
CN106356845A (en) Short circuit current acquisition method for electric power system including impedance matching balance traction transformer
CN104849614A (en) Judgment method of small current single-phase grounding fault line selection
CN104965156A (en) Fault pole selecting method using polarline fault voltage for PCA cluster analysis
CN109342885B (en) Method and system for positioning line fault of direct-current power distribution network
CN105044555A (en) High voltage direct current power transmission line fault pole discrimination method by utilization of single pole electric quantity
CN106443334A (en) Zero sequence current difference polarity comparison based power distribution network fault line selection method
CN104393580B (en) A kind of T of utilization voltage x current Sudden Changing Rate wavelet coefficient correlation analysis gets access to grid transient cell protection method
CN104410159B (en) Power grid black start overall process checking method based on real-time digital simulation
CN105842582A (en) Flexible DC line fault range finding method based on EMTR
CN103323728A (en) Method for identifying single-phase earth fault and visional grounding based on whole cyclic wave energy ratio
CN108539716B (en) A kind of protection starting method and apparatus based on transient
CN109387742A (en) A kind of line fault recognition methods based on multiple spot active power monitoring and difference
Patra et al. Voltage sag assessment of distribution system using Monte Carlo simulation
CN105353251B (en) A kind of fault direction judgment method suitable for wind power integration system
CN111817359B (en) Micro-grid solvable boundary analysis method based on equivalent circuit

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant