CN105116281A - Two-cable-section mixing direct current power transmission line fault section identification method based on mode identification - Google Patents
Two-cable-section mixing direct current power transmission line fault section identification method based on mode identification Download PDFInfo
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- CN105116281A CN105116281A CN201510373219.0A CN201510373219A CN105116281A CN 105116281 A CN105116281 A CN 105116281A CN 201510373219 A CN201510373219 A CN 201510373219A CN 105116281 A CN105116281 A CN 105116281A
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- 238000003909 pattern recognition Methods 0.000 claims description 8
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- Y—GENERAL 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/52—Outage or fault management, e.g. fault detection or location
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Abstract
The invention relates to a two-cable-section mixing direct current power transmission line fault section identification method based on mode identification, and belongs to the electric power system fault range finding technology field. When two sections of cables are mixed and a direct current power transmission line is out of order, an absolute value of fault pole voltage travelling wave data obtained at a cable measuring end is calculated, normalization processing is carried out, and discrimination of a cable mixing direct current power transmission line fault section is determined by utilization of a principal component clustering analysis method. The fault section is discriminated according to plus or minus of a projection q1 value of the voltage initial fault traveling wave on the first principal component (PC1) shaft, if the sign of the projection value q1 is positive, the overhead line fault is determined; otherwise, the cable line fault is determined. Principal component clustering analysis is carried out by utilization of the absolute value of the fault pole voltage, influences of fault line polarity to fault section discrimination are avoided effectively, the principle is simple, and the method is reliable and effective.
Description
Technical field
The present invention relates to a kind of two sections of cable Hybrid HVDC line fault sections recognition methods based on pattern-recognition, belong to electric power system fault ranging technology field.
Background technology
In recent years, along with the development of electric utility, transmission line of electricity electric pressure and transmission capacity progressively improve, and cable mixed power transmission line is applied more and more extensive in high pressure power transmission and distribution project.When cable mixed power transmission line breaks down, the localization of faults rapidly and accurately and fix a breakdown a little, for raising power supply reliability, reduces power off time and has extremely important meaning.
For cable Hybrid HVDC circuit, because cut cable is different with propagation constant from the characteristic impedance in pole line section, cause row ripple different at the propagation law of different section; Especially for cut cable and junction, pole line section, because wave impedance is discontinuous, make row ripple roll in this junction, reflect, the mutual superposition of waveform increases the difficulty of fault traveling wave wave head identification further.Therefore, for the fault localization of two sections of cable Hybrid HVDC circuits, the identification of fault section will become very important.
For two sections of rare problems of cable Hybrid HVDC line fault section identification, we have proposed the two sections of cable Hybrid HVDC line fault sections recognition methods based on classified analysis on major constituents.When two ends cable Hybrid HVDC line failure, it is different very large that the capable wave amplitude of fault pole tension that cut cable bus bar side relay obtains is positioned at cut cable, the pole line section time difference in fault, and utilizing classified analysis on major constituents can obtain good cluster result, the criterion proposed thus will have very high precision for the identification of different faults section.And utilization asks for absolute value to fault pole tension data, effectively can evade the impact of positive and negative electrode on criterion.Quick and precisely identifying of fault section has very important meaning to the travelling wave ranging of two sections of cable Hybrid HVDC circuits.
Summary of the invention
The technical problem to be solved in the present invention proposes a kind of two sections of cable Hybrid HVDC line fault sections recognition methods based on pattern-recognition, in order to solve the problem.
Technical scheme of the present invention is: a kind of two sections of cable Hybrid HVDC line fault sections recognition methods based on pattern-recognition is when two sections of cable Hybrid HVDC line failures, ask for the absolute value of the capable wave datum of fault pole tension that cable measuring end obtains, and be normalized, choose 3 μ s before fault moment again, after fault, the short window data of 27 μ s carries out the fault section that classified analysis on major constituents differentiates two sections of cable Hybrid HVDC circuits; According to the capable ripple of voltage primary fault at first principal component (PC
1) projection q on axle
1value positive and negative come Judging fault section: if projection value q
1symbol be just, be then judged to overhead transmission line fault, otherwise, be then judged to cable line.
Concrete steps are:
The first step, trouble spot is set: bus bar side relay being arranged on cut cable, along cable Hybrid HVDC circuit, earth fault is set at random, fault covers positive and negative electrode cable joint line total length, traveled through all trouble spots by electromagnetic transient simulation software PSCAD, relay obtains positive and negative electrode voltage traveling wave data;
The process of the capable wave datum of second step, false voltage: capable for the false voltage obtained in step one wave datum is asked for absolute value, and to false voltage curve family through average be zero, variance is the normalized of 1,3 μ s before intercepting fault moment, 27 μ s short time-window data after fault moment;
3rd step, structure classified analysis on major constituents sample space: classified analysis on major constituents is carried out to the short time-window data obtained in step 2, and builds by first principal component (PC
1) and Second principal component, (PC
2) for axle formed classified analysis on major constituents sample space;
4th step, fault section identical criterion: the classified analysis on major constituents sample space of step 3 formation by analysis, form the criterion of cable Hybrid HVDC line fault section identification such as formula shown in (1) ~ (2):
If sign is (q
1)=1 is then overhead transmission line fault (1)
If sign is (q
1)=-1 is then cut cable fault (2)
5th step: failure data analysis: when cable Hybrid HVDC line failure, obtain the capable wave datum of voltage failure that measuring end relay obtains, absolute value is carried out to data, normalization, short time-window choose process, then the fault data processed is projected in the classified analysis on major constituents sample space of the 3rd step formation, obtains fault data at first principal component (PC
1) projection value q on axle
1, the differentiation of fault section is carried out according to criterion in step 4.
3, the two sections of cable Hybrid HVDC line fault sections recognition methods based on pattern-recognition according to claim 2, is characterized in that: sampling rate is 1MHz, during data prediction, time window be 27 μ s after 3 μ s and fault before fault.
Principle of the present invention is: when two ends cable Hybrid HVDC line failure, observe with cut cable bus bar side, if fault is positioned at pole line section, fault initial row ripple is rolled at the tie point of cable and overhead transmission line, is reflected, refraction coefficient position 0.276, via the measuring end of cut cable propagation, amplitude attenuation is comparatively serious, if fault is positioned at cut cable, fault initial row ripple is without the tie point of cable joint line, there is not folding, reflection, therefore the amplitude of fault initial row ripple that detects of measuring end and steepness larger.Utilize classified analysis on major constituents can highlight this difference, and then realize the identification of two sections of cable Hybrid HVDC line fault sections.Classified analysis on major constituents shows: when fault occurs in pole line section, the absolute value of its fault pole tension is just through the projection value of classified analysis on major constituents on first principal component axle, when fault occurs in cut cable, the absolute value of its fault pole tension is negative through the projection value of classified analysis on major constituents on first principal component axle.
The invention has the beneficial effects as follows:
(1) measuring end obtaining data in the present invention is selected in cut cable bus bar side, and be mainly that initial row ripple that overhead transmission line segment fault produces is through line-cable junction, less refraction coefficient makes the amplitude of row ripple and steepness have obvious reduction.This and fault are positioned at the initial row ripple that cut cable produces and form a sharp contrast, and can obtain good cluster result, well can distinguish the fault under different section through classified analysis on major constituents.
(2) carry out the absolute value why data that classified analysis on major constituents chooses are fault pole tensions in the present invention, be mainly that the computing of absolute value effectively can evade the impact of line polarity on criterion, not only principle is simple, and accuracy is high.
Accompanying drawing explanation
Fig. 1 is the present invention's two sections of cable Hybrid HVDC conspectuses.
Fig. 2 is measuring end relay R of the present invention
1the pole tension absolute value squiggle bundle obtained.
Fig. 3 is measuring end relay R of the present invention
1obtain the classified analysis on major constituents sample space of sample data.
Fig. 4 is R when MJ section (cut cable) positive pole circuit holds 5.6km place generation earth fault apart from M in the embodiment of the present invention 1
1obtain the classified analysis on major constituents result figure of pole tension absolute value.
Fig. 5 is that JN section in the embodiment of the present invention 2 (pole line section) positive pole circuit is apart from R during M end 61.5km place generation earth fault
1obtain the classified analysis on major constituents result figure of pole tension absolute value.
Fig. 6 is that JN section in the embodiment of the present invention 3 (pole line section) negative pole circuit is apart from R during M end 148.6km place generation earth fault
1obtain the classified analysis on major constituents result figure of pole tension absolute value.
Embodiment
Below in conjunction with the drawings and specific embodiments, the invention will be further described.
Embodiment 1:450kV two sections of cable Hybrid HVDC circuits as shown in Figure 1.Its line parameter circuit value is as follows: total track length MJ section 50km, JN section 100km, smoothing reactor L
m=L
n=0.4H, relay R
1be arranged on cut cable bus bar side.Abort situation: the positive pole span M of MJ section (cut cable) holds 5.6km place that earth fault occurs.Transition resistance 50 Ω, sampling rate is 1MHz.
The first step, trouble spot is set: along cable Hybrid HVDC circuit positive and negative electrode, trouble spot is set every 5km is equidistant respectively, in order to reflect the fault of specific position better, at 1km, 49km, 51km, 149km, also trouble spot is set, fault type is earth fault, Fault traversal is carried out, relay R by electromagnetic transient simulation software PSCAD
1obtain positive and negative electrode voltage traveling wave data.
The process of the capable wave datum of second step, false voltage: capable for the false voltage obtained in step one wave datum is asked for absolute value, and to false voltage curve family through average be zero, variance is the normalized of 1.Intercept 3us before fault moment, 27us short time-window data after fault moment, its pole tension waveform bunch as shown in Figure 2.
3rd step, structure classified analysis on major constituents sample space: classified analysis on major constituents is carried out to the short time-window data obtained in step 2, and builds by first principal component (PC
1) and Second principal component, (PC
2) be the classified analysis on major constituents sample space that axle is formed, sample space perspective view is as shown in Figure 3.
4th step, failure data analyzing: when earth fault occurs positive pole circuit 5.6km, to relay R
1obtain containing fault pole tension to specifications in (2) ~ (3) carry out data processing, and be projected in the sample space of classified analysis on major constituents, as shown in Figure 4.Due to Sign (q
1)=-1, in contrast instructions, the fault of criterion this example known of the 4th step is positioned at cable section.
Embodiment 2:450kV two sections of cable Hybrid HVDC circuits as shown in Figure 1.Its line parameter circuit value is as follows: total track length MJ section 50km, JN section 100km, smoothing reactor L
m=L
n=0.4H, relay R
1be arranged on cut cable bus bar side.Abort situation: the positive pole span M of JN section (pole line section) holds 61.5km place that earth fault occurs.Transition resistance 10 Ω, sampling rate is 1MHz.
The first step, trouble spot is set: along cable Hybrid HVDC circuit positive and negative electrode, trouble spot is set every 5km is equidistant respectively, in order to reflect the fault of specific position better, at 1km, 49km, 51km, 149km, also trouble spot is set, fault type is earth fault, Fault traversal is carried out, relay R by electromagnetic transient simulation software PSCAD
1obtain positive and negative electrode voltage traveling wave data.
The process of the capable wave datum of second step, false voltage: capable for the false voltage obtained in step one wave datum is asked for absolute value, and to false voltage curve family through average be zero, variance is the normalized of 1.Intercept 3 μ s before fault moment, 27 μ s short time-window data after fault moment, its pole tension waveform bunch as shown in Figure 2.
3rd step, structure classified analysis on major constituents sample space: classified analysis on major constituents is carried out to the short time-window data obtained in step 2, and builds by first principal component (PC
1) and Second principal component, (PC
2) be the classified analysis on major constituents sample space that axle is formed, sample space perspective view is as shown in Figure 3.
4th step, failure data analyzing: when earth fault occurs positive pole circuit 61.5km, to relay R
1obtain containing fault pole tension to specifications in (2) ~ (3) carry out data processing, and be projected in the sample space of classified analysis on major constituents, as shown in Figure 5.Due to Sign (q
1)=1, in contrast instructions, the fault of criterion this example known of the 4th step is positioned at pole line section.
Embodiment 3:450kV two sections of cable Hybrid HVDC circuits as shown in Figure 1.Its line parameter circuit value is as follows: total track length MJ section 50km, JN section 100km, smoothing reactor L
m=L
n=0.4H, relay R
1be arranged on cut cable bus bar side.Abort situation: JN section (pole line section) negative pole circuit holds 148.6km place that earth fault occurs apart from M.Transition resistance 10 Ω, sampling rate is 1MHz.
The first step, trouble spot is set: along cable Hybrid HVDC circuit positive and negative electrode, trouble spot is set every 5km is equidistant respectively, in order to reflect the fault of specific position better, at 1km, 49km, 51km, 149km, also trouble spot is set, fault type is singlephase earth fault, Fault traversal is carried out, relay R by electromagnetic transient simulation software PSCAD
1obtain positive and negative electrode voltage traveling wave data.
The process of the capable wave datum of second step, false voltage: capable for the false voltage obtained in step one wave datum is asked for absolute value, and to false voltage curve family through average be zero, variance is the normalized of 1.Intercept 3 μ s before fault moment, 27 μ s short time-window data after fault moment, its pole tension waveform bunch as shown in Figure 2.
3rd step, structure classified analysis on major constituents sample space: classified analysis on major constituents is carried out to the short time-window data obtained in step 2, and builds by first principal component (PC
1) and Second principal component, (PC
2) be the classified analysis on major constituents sample space that axle is formed, sample space perspective view is as shown in Figure 3.
4th step, failure data analyzing: when earth fault occurs negative pole circuit 148.6km, to relay R
1obtain containing fault pole tension to specifications in (2) ~ (3) carry out data processing, and be projected in the sample space of classified analysis on major constituents, as shown in Figure 6.Due to Sign (q
1)=1, in contrast instructions, the fault of criterion this example known of the 4th step is positioned at pole line section.
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 (3)
1. the two sections of cable Hybrid HVDC line fault sections recognition methods based on pattern-recognition, it is characterized in that: when two sections of cable Hybrid HVDC line failures, ask for the absolute value of the capable wave datum of fault pole tension that cable measuring end obtains, and be normalized, choose 3 μ s before fault moment again, after fault, the short window data of 27 μ s carries out the fault section that classified analysis on major constituents differentiates two sections of cable Hybrid HVDC circuits; According to the capable ripple of voltage primary fault at first principal component (PC
1) projection q on axle
1value positive and negative come Judging fault section: if projection value q
1symbol be just, be then judged to overhead transmission line fault, otherwise, be then judged to cable line.
2. the two sections of cable Hybrid HVDC line fault sections recognition methods based on pattern-recognition according to claim 1, is characterized in that concrete steps are:
The first step, trouble spot is set: bus bar side relay being arranged on cut cable, along cable Hybrid HVDC circuit, earth fault is set at random, fault covers positive and negative electrode cable joint line total length, traveled through all trouble spots by electromagnetic transient simulation software PSCAD, relay obtains positive and negative electrode voltage traveling wave data;
The process of the capable wave datum of second step, false voltage: capable for the false voltage obtained in step one wave datum is asked for absolute value, and to false voltage curve family through average be zero, variance is the normalized of 1,3 μ s before intercepting fault moment, 27 μ s short time-window data after fault moment;
3rd step, structure classified analysis on major constituents sample space: classified analysis on major constituents is carried out to the short time-window data obtained in step 2, and builds by first principal component (PC
1) and Second principal component, (PC
2) for axle formed classified analysis on major constituents sample space;
4th step, fault section identical criterion: the classified analysis on major constituents sample space of step 3 formation by analysis, form the criterion of cable Hybrid HVDC line fault section identification such as formula shown in (1) ~ (2):
If sign is (q
1)=1 is then overhead transmission line fault (1)
If sign is (q
1)=-1 is then cut cable fault (2)
5th step: failure data analysis: when cable Hybrid HVDC line failure, obtain the capable wave datum of voltage failure that measuring end relay obtains, absolute value is carried out to data, normalization, short time-window choose process, then the fault data processed is projected in the classified analysis on major constituents sample space of the 3rd step formation, obtains fault data at first principal component (PC
1) projection value q on axle
1, the differentiation of fault section is carried out according to criterion in step 4.
3. the two sections of cable Hybrid HVDC line fault sections recognition methods based on pattern-recognition according to claim 2, is characterized in that: sampling rate is 1MHz, during data prediction, time window be 27 μ s after 3 μ s and fault before fault.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105866625A (en) * | 2016-04-01 | 2016-08-17 | 昆明理工大学 | Cable mixing line double-end range finding method based on fault traveling wave along-track distribution characteristics |
| CN109061390A (en) * | 2018-09-07 | 2018-12-21 | 中电普瑞电力工程有限公司 | A kind of region traveling wave fault positioning method and system |
| CN109541392A (en) * | 2018-10-15 | 2019-03-29 | 天津大学 | A kind of one-end fault ranging method suitable for flexible HVDC transmission system |
| CN110927525A (en) * | 2019-12-03 | 2020-03-27 | 昆明理工大学 | Line fault identification PCA clustering method based on voltage change SOD curve cluster |
| CN111896840A (en) * | 2020-07-15 | 2020-11-06 | 武汉三相电力科技有限公司 | Method and system for judging fault section in hybrid line based on fault traveling wave voltage |
| CN112083283A (en) * | 2020-09-07 | 2020-12-15 | 昆明理工大学 | Power distribution network fault section positioning method based on fault component frequency band distribution difference |
| CN112255496A (en) * | 2020-09-10 | 2021-01-22 | 天津大学 | Fault section determination method for cable hybrid direct-current line |
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| 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 |
| CN104155575A (en) * | 2014-08-04 | 2014-11-19 | 昆明理工大学 | Cable mixed circuit failure zone identification method adopting line model current for PCA cluster analysis |
| CN104535895A (en) * | 2015-01-09 | 2015-04-22 | 山东康威通信技术股份有限公司 | Cable-and-overhead-line hybrid line fault section method based on synchronous sampling technology |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105866625A (en) * | 2016-04-01 | 2016-08-17 | 昆明理工大学 | Cable mixing line double-end range finding method based on fault traveling wave along-track distribution characteristics |
| CN109061390A (en) * | 2018-09-07 | 2018-12-21 | 中电普瑞电力工程有限公司 | A kind of region traveling wave fault positioning method and system |
| CN109061390B (en) * | 2018-09-07 | 2023-12-15 | 中电普瑞电力工程有限公司 | Regional traveling wave fault positioning method and system |
| CN109541392A (en) * | 2018-10-15 | 2019-03-29 | 天津大学 | A kind of one-end fault ranging method suitable for flexible HVDC transmission system |
| CN110927525A (en) * | 2019-12-03 | 2020-03-27 | 昆明理工大学 | Line fault identification PCA clustering method based on voltage change SOD curve cluster |
| CN111896840A (en) * | 2020-07-15 | 2020-11-06 | 武汉三相电力科技有限公司 | Method and system for judging fault section in hybrid line based on fault traveling wave voltage |
| CN112083283A (en) * | 2020-09-07 | 2020-12-15 | 昆明理工大学 | Power distribution network fault section positioning method based on fault component frequency band distribution difference |
| CN112083283B (en) * | 2020-09-07 | 2021-05-25 | 昆明理工大学 | Power distribution network fault section positioning method based on fault component frequency band distribution difference |
| CN112255496A (en) * | 2020-09-10 | 2021-01-22 | 天津大学 | Fault section determination method for cable hybrid direct-current line |
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