CN102508115A - Identification method for faults in and out of area of high voltage direct current (HVDC) transmission line based on multi-fractal spectrum - Google Patents
Identification method for faults in and out of area of high voltage direct current (HVDC) transmission line based on multi-fractal spectrum Download PDFInfo
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- CN102508115A CN102508115A CN2011103300659A CN201110330065A CN102508115A CN 102508115 A CN102508115 A CN 102508115A CN 2011103300659 A CN2011103300659 A CN 2011103300659A CN 201110330065 A CN201110330065 A CN 201110330065A CN 102508115 A CN102508115 A CN 102508115A
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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
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Abstract
The invention relates to an identification method for faults in and out of an area of a high voltage direct current (HVDC) transmission line based on a multi-fractal spectrum, which belongs to the technical field of relay protection of a power system. When a fault occurs in a direct current circuit, after a protective element is started, according to two-electrode direct voltage detected at a protective installation position, aerial mode voltage is obtained by utilizing the phase mode conversion theory. Fault component of the aerial mode voltage is obtained according to the superposition principle, probability density at different levels is obtained through the side length of a transform box, then partition function and quality factor are obtained, finally singularity exponent and growth rate k of the singularity exponent are obtained, and then faults in and out of the area are judged according to the k value. Sampling frequency is 20 kHz, time window is 1ms, the required data length is short, and effect of a control system is avoided. The identification method is capable of correctly identifying various types of faults within the range of the whole line and high in tolerance property for transition resistance, is not affected by interference and has high practical applicability.
Description
Technical field
The present invention relates to a kind of method of discerning the HVDC transmission line internal fault external fault, specifically a kind of HVDC transmission line internal fault external fault recognition methods based on multifractal spectra belongs to the relay protection of power system technical field.
Background technology
The HVDC transmission line through-put power is big, behind the line failure, requires the excision fault that line protective devices must be fast as far as possible, otherwise will cause very big impact to total system, and the safe and stable operation of system is constituted a threat to.General power frequency protection responsiveness is slow, consuming time longer, is difficult to satisfy the requirement of protection of direct current supply line.At present; Extensively adopt of the main protection of traveling-wave protection technology in the world as the HVDC transmission line protection; Its single-ended amount protection according to the sudden change amount of voltage traveling wave and rate of change and electric current variable gradient (voltage that instant of failure transmitted, current traveling wave change information) as criterion; Have the hypervelocity acting characteristic, do not receive that current transformer is saturated, advantage such as system oscillation and long line distributed capacitance influence.But related data shows; The DC line traveling-wave protection technology of using at present (mainly being provided by ABB and SIEMENS two companies) is in various degree problems such as existing easy malfunction, receive noise or receive that transition resistance influences all; When DC line during through high resistive fault; The voltage change ratio of traveling-wave protection reduces, and causes the tripping of traveling-wave protection device sometimes.Can the security and the reliability that how to improve the DC power transmission line operation have become urgent problem, propose new method based on the characteristic of border fault-signal, and DC line fault is made fast and correctly judged, be the key of DC line protection.
Summary of the invention
The purpose of this invention is to provide a kind of HVDC transmission line internal fault external fault recognition methods based on multifractal spectra; Utilize the single-ended hypervelocity protection philosophy of DC power transmission line of border high fdrequency component characteristic, realize, reliably identification quick the HVDC transmission line internal fault external fault.
The step of HVDC transmission line internal fault external fault recognition methods that the present invention is based on multifractal spectra is following:
(1) after DC line breaks down; According to anodal DC voltage
and the negative pole DC voltage
of protecting the installation place to record; Adopt the Karenbauer transformation matrix, obtain line mode voltage
:
Again according to superposition principle; Through the line mode voltage
under line mode voltage
and the non-malfunction, obtain the fault component
of line mode voltage:
(2) fault component
to the line mode voltage is divided into the one dimension etui of
individual yardstick for
along time orientation; The difference of each dimension etui maximal value and minimum value is
;
=1,2,3 wherein;
=1;,
;
(3) to probability
Use
qPower carries out weighted sum and obtains partition function
, partition function
With yardstick
Relation be:
(4) try to achieve performance figure
with least square fitting:
;
(7), obtain the minimum value
and the maximal value
of singularity index according to multifractal spectra
;
(8) according to the minimum value of singularity index
And maximal value
, obtain the rate of growth of singularity index
k:
;
(9) according to the rate of growth of singularity index
k, screen, judge the extra high voltage direct current transmission line internal fault external fault: when
k≤1.5 o'clock is external area error, when
k>1.5 the time be troubles inside the sample space.
Principle of the present invention is:
DC transmission system generally includes the smoothing reactor and the DC filter at DC power transmission line, DC line two ends, and smoothing reactor and DC filter have constituted " natural " physical boundary of DC power transmission line high frequency transient amount.When troubles inside the sample space or external area error take place, the spectral characteristic of the line mode voltage ripple of its two ends boundary element (smoothing reactor and DC filter) will have significant difference.This can be from the transport function of DC transmission system physical boundary element<i >H</i>(j ω) obtains reflection.<img file=" 2011103300659100002DEST_PATH_IMAGE060.GIF " he=" 38 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 162 " />; Wherein, Z1 (j ω) is the DC filter impedance, and Z2 (j ω) is the smoothing reactor impedance.The boundary element transport function<i >H</i>The amplitude versus frequency characte such as the Fig. 3 of (j ω); When<i >f</i><during 1000Hz, |<i >H</i>(j ω) | ≈ 0; Work as 1000Hz<<i >f</i><during 2000Hz,<i >H</i>(j ω) spectrum curve has vibration; When<i >F></i>During 2000Hz, |<i >H</i>(j ω) |>-30dB.Thus it is clear that, the detected high fdrequency component of troubles inside the sample space high 30dB during than external area error.The characteristic of detected high fdrequency component during based on fault can judge it is troubles inside the sample space, or external area error.
Fractally be meant one type of random, chaotic and complicated but its local and whole system that has similarity at aspects such as form, function and information.Multifractal is estimated research physical quantity or the distribution of other amount on geometry support.Each point to fractal surface is measured with mass distribution probability
; Use the zonule of many dimensions for
to go to cover whole fractal surface, the mass distribution probability
on
individual zonule with the relation of dimension
is:
Wherein,
is called scaling exponent; What its reflected is that the unusual degree of each zonule is relevant in the fractal, therefore is called the singularity index again.
Wherein, The fractal dimension that
expression has the subclass of identical
value is called multifractal spectra.
Fractal for a complicacy; Its inside can be divided into the subclass of a series of different
values, and identical
value has identical unusual degree.According to the function that provides
, just can provide the fractal property of these a series of subclass about
.
For DC transmission system, during external area error, because boundary element is to the attenuation of high frequency; High fdrequency component in the line mode voltage ripple that the protection installation place records is less relatively; And the amplitude of high fdrequency component is relatively very little, and Fractal Set is simple relatively, and singularity exponential increase rate is lower.During troubles inside the sample space, high fdrequency component is not passed through boundary element, and high frequency content is more, and its amplitude is also much larger than the high fdrequency component amplitude of external area error, the Fractal Set relative complex, and singularity exponential increase rate is higher.
Therefore, carry out multifractal spectra through fault component and find the solution, obtain about the singularity index to the line mode voltage
Function
, according to
Minimum value
And maximal value
, calculate the singularity index
Rate of growth
, basis again
kThe size of value can be screened and judges troubles inside the sample space or external area error.In SF is after 20kHz, sampling time window length are fault under the 1ms condition, shows through macromethod research and simulation results:
K≤1.5 the time, be external area error;
K>1.5 the time, be troubles inside the sample space.
The present invention compared with prior art has following advantage:
1, this method SF is 20kHz, and time window is 1ms, and desired data length is shorter, has avoided the influence of control system.
2, this method is to all correct identification of ability of the various fault types in the total track length scope.
3, the performance of this method tolerance transition resistance is stronger, and interference-free influence has stronger practicality.A large amount of simulation results show that the present invention is respond well.
Description of drawings
Fig. 1 is the embodiment of the invention ± 800kV DC transmission system structural representation; Among the figure: F
2, F
3Be external area error, F
1, F
4Be troubles inside the sample space, M is the protection installation place;
Fig. 2 is the DC transmission system boundary element synoptic diagram that embodiment of the invention smoothing reactor and DC filter constitute; Among the figure:
U 1Be the transient voltage outside distinguishing,
U 2For
U 1Fade to the voltage of DC line protection installation place through flank pass; B
1, B
2, B
3, B
4Be the DC filter lightning arrester; D
1Be smoothing reactor lightning arrester, D
2Be DC bus arrester; L
1, L
2, L
3, L
4Be inductance element; C
1, C
2, C
3, C
4Be capacity cell;
Fig. 3 is the spectral characteristic figure of DC transmission system boundary element of the present invention; Among the figure:
fBe frequency, Hz is the unit of frequency,
H(j ω) is the amplitude of frequency spectrum;
Line mode voltage fault component oscillogram when Fig. 4 is the embodiment of the invention 1 troubles inside the sample space; Among the figure t/ms be time/second, U/kV is voltage/kilovolt;
Line mode voltage fault component oscillogram when Fig. 5 is the embodiment of the invention 1 external area error; Among the figure t/ms be time/second, U/kV is voltage/kilovolt;
Figure 6 embodiment of the invention a fault zone on the singularity exponent
multifractal spectrum
;
Figure 7 is an embodiment of the invention an external fault on the singularity exponent
multifractal spectrum
;
Fig. 8 is for the anodal one pole earth fault of generation in the district of the present invention, when stake resistance is respectively 1 Ω, 10 Ω, 100 Ω, 300 Ω, singularity exponential increase rate
kDistribution plan,
K>1.5 satisfy the criterion requirement; Among the figure:
kBe the singularity rate of growth,
l/ km is the distance (unit is a km) of fault occurrence positions distance protection installation place.
Embodiment
Below in conjunction with accompanying drawing and embodiment, the present invention is done further elaboration, but protection scope of the present invention is not limited to said content.
Embodiment 1: as shown in Figure 1, this based on the HVDC transmission line internal fault external fault recognition methods of multifractal spectra cloud wide ± use in the 800kV DC transmission system.System's power transmission capacity is 5000MW, and the reactive compensation capacity of rectification side and inversion side is respectively 3000Mvar and 3040Mvar; Every utmost point convertor unit is composed in series by 2 12 pulse transverters, and DC power transmission line is a six-multiple conductor, and total length is taken as 1500km, adopts J.R.Marti frequency dependence model; The smoothing reactor of 400mH is equipped with in the circuit both sides; F
2, F
3Be external area error, F
1, F
4Be troubles inside the sample space, M is the protection installation place.
As shown in Figure 2, this DC transmission system constitutes its physical boundary with smoothing reactor and DC filter.Wherein:
U 1For distinguishing outer transient voltage,
U 2For
U 1Fade to the voltage of DC line protection installation place through flank pass; B
1, B
2, B
3, B
4Be DC filter lightning arrester, D
1Be smoothing reactor lightning arrester, D
2Be DC bus arrester, lightning arrester B
1, B
2, B
3, B
4, D
1, D
2Be referred to as the border lightning arrester.B
1, B
2Rated voltage is 150kV, B
3, B
4Rated voltage is 75kV, D
1, D
2Rated voltage is 824kV; L=400mH, L
1=39.09mH, L
2=26.06mH, L
3=19.545mH, L
4=34.75mH, C
1=0.9 μ F, C
2=0.9 μ F, C
3=1.8 μ F, C
4=0.675 μ F.
At 150km place, distance protection installation place, the plus earth fault takes place in 0.505s, transition resistance is 10 Ω.By following method, based on multifractal spectra, identification HVDC transmission line internal fault external fault:
(1) after DC line breaks down; Starting element starts immediately; According to anodal DC voltage
and the negative pole DC voltage
of protecting the installation place to record; Adopt the Karenbauer transformation matrix, obtain line mode voltage
according to following formula:
Again according to formula
; Utilize superposition principle; Through the line mode voltage
under line mode voltage
and the non-malfunction; Obtain the fault component
of line mode voltage, waveform is as shown in Figure 4;
(2) fault component
to the line mode voltage is divided into the one dimension etui of
individual yardstick for
along time orientation; The difference of each dimension etui maximal value and minimum value is
;
=1,2,3 wherein;
=1;,
;
Get SF
fBe 20kHz, sampling time window length is got 1ms after the fault, and sample sequence length is 20 points,
,
,
, probability density
For:
(3) to probability
Use
qPower carries out weighted sum and obtains partition function
, partition function
With yardstick
Relation below existing:
(4) try to achieve performance figure
with least square fitting:
(6) according to formula
; Obtain the multifractal spectra
of singularity index
, as shown in Figure 6;
(7), obtain minimum value
=0.3871, the maximal value
=2.2247 of singularity index according to multifractal spectra
;
(8) according to the minimum value of singularity index
And maximal value
, obtain the rate of growth of singularity index
k:
(9) gained singularity exponential increase rate
K=4.747 numerical value higher, satisfy criterion
K>1.5 condition judges that this fault is a troubles inside the sample space.
Embodiment 2: like Fig. 1, shown in 2, this based on the HVDC transmission line internal fault external fault recognition methods of multifractal spectra cloud wide ± carry out in the 800kV DC transmission system, the transmission system structure is with that related parameter is arranged is all identical with embodiment 1.
At 150km place, distance protection installation place, the plus earth fault takes place in 0.505s, transition resistance is 10 Ω.Press the identical method of embodiment 1, identical SF
,Sampling time window length and sample sequence length are obtained the fault component of line mode voltage
Waveform is as shown in Figure 5, the singularity index
Multifractal spectra
As shown in Figure 7; Obtain the minimum value of singularity index
=0.7902, maximal value
=1.3230, singularity exponential increase rate
k=0.6743.
Gained singularity exponential increase rate
k=0.6743 numerical value is lower, satisfies criterion
k≤1.5 conditions judge that this fault is an external area error.
The present invention has carried out simulating, verifying to different fault distances, different stake resistances, obtains result such as the following table of singularity exponential increase rate k:
Claims (3)
1. HVDC transmission line internal fault external fault recognition methods based on multifractal spectra is characterized in that carrying out according to the following steps:
(1) after DC line breaks down; According to anodal DC voltage
and the negative pole DC voltage
of protecting the installation place to record; Adopt the Karenbauer transformation matrix, obtain line mode voltage
:
Again according to superposition principle; Through the line mode voltage
under line mode voltage
and the non-malfunction, obtain the fault component
of line mode voltage:
(2) fault component
to the line mode voltage is divided into the one dimension etui of
individual yardstick for
along time orientation; The difference of each dimension etui maximal value and minimum value is
;
=1,2,3 wherein;
=1;,
;
;
(3) to probability
Use
qPower carries out weighted sum and obtains partition function
, partition function
With yardstick
Relation be:
(7), obtain the minimum value
and the maximal value
of singularity index according to multifractal spectra
;
(8) according to the minimum value of singularity index
And maximal value
, obtain the rate of growth of singularity index
k:
(9) according to the rate of growth of singularity index
k, screen, judge the HVDC transmission line internal fault external fault.
2. the HVDC transmission line internal fault external fault recognition methods based on multifractal spectra according to claim 1 is characterized in that: when
k≤1.5 o'clock is external area error, when
k>1.5 the time be troubles inside the sample space.
3. the HVDC transmission line internal fault external fault recognition methods based on multifractal spectra according to claim 1 and 2, it is characterized in that: SF is 20kHz, sampling time window length is 1ms after the fault.
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Cited By (9)
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---|---|---|---|---|
CN103683196A (en) * | 2013-07-24 | 2014-03-26 | 昆明理工大学 | A transformer excitation surge current discriminating method based on multi-factional spectrums |
CN105259469A (en) * | 2015-09-29 | 2016-01-20 | 昆明理工大学 | Direct current line fault identification method based on polar line voltage first order difference quadratic sum |
CN106291237A (en) * | 2016-08-02 | 2017-01-04 | 昆明理工大学 | A kind of UHVDC Transmission Lines fault recognition method using filter branches electric current and fractal box |
CN106443346A (en) * | 2016-10-08 | 2017-02-22 | 昆明理工大学 | Multi-fractal spectrum ultra-high voltage direct current line fault identification method based on filter branch current |
CN110927526A (en) * | 2019-12-11 | 2020-03-27 | 云南电网有限责任公司临沧供电局 | Power distribution network fault line selection method based on zero-sequence current waveform fractal box dimension |
CN111695089A (en) * | 2020-06-12 | 2020-09-22 | 国网四川省电力公司电力科学研究院 | Alternating current transmission line fault identification method based on multi-fractal spectrum |
CN113030653A (en) * | 2021-05-06 | 2021-06-25 | 重庆大学 | Fault identification method for single-end protection of direct-current power grid |
CN113376549A (en) * | 2021-05-26 | 2021-09-10 | 国网上海能源互联网研究院有限公司 | Pilot protection method and system for flexible direct current power distribution network |
CN113376549B (en) * | 2021-05-26 | 2024-04-19 | 国网上海能源互联网研究院有限公司 | Pilot protection method and pilot protection system for flexible direct-current power distribution network |
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CN103683196A (en) * | 2013-07-24 | 2014-03-26 | 昆明理工大学 | A transformer excitation surge current discriminating method based on multi-factional spectrums |
CN103683196B (en) * | 2013-07-24 | 2017-02-22 | 昆明理工大学 | A transformer excitation surge current discriminating method based on multi-factional spectrums |
CN105259469A (en) * | 2015-09-29 | 2016-01-20 | 昆明理工大学 | Direct current line fault identification method based on polar line voltage first order difference quadratic sum |
CN106291237A (en) * | 2016-08-02 | 2017-01-04 | 昆明理工大学 | A kind of UHVDC Transmission Lines fault recognition method using filter branches electric current and fractal box |
CN106291237B (en) * | 2016-08-02 | 2019-04-12 | 昆明理工大学 | A kind of UHVDC Transmission Lines fault recognition method using filter branches electric current and fractal box |
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CN110927526A (en) * | 2019-12-11 | 2020-03-27 | 云南电网有限责任公司临沧供电局 | Power distribution network fault line selection method based on zero-sequence current waveform fractal box dimension |
CN111695089A (en) * | 2020-06-12 | 2020-09-22 | 国网四川省电力公司电力科学研究院 | Alternating current transmission line fault identification method based on multi-fractal spectrum |
CN113030653A (en) * | 2021-05-06 | 2021-06-25 | 重庆大学 | Fault identification method for single-end protection of direct-current power grid |
CN113376549A (en) * | 2021-05-26 | 2021-09-10 | 国网上海能源互联网研究院有限公司 | Pilot protection method and system for flexible direct current power distribution network |
CN113376549B (en) * | 2021-05-26 | 2024-04-19 | 国网上海能源互联网研究院有限公司 | Pilot protection method and pilot protection system for flexible direct-current power distribution network |
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