CN115207887A - Short-circuit fault direction judging method and system for wind power plant outgoing line - Google Patents

Short-circuit fault direction judging method and system for wind power plant outgoing line Download PDF

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CN115207887A
CN115207887A CN202211007696.1A CN202211007696A CN115207887A CN 115207887 A CN115207887 A CN 115207887A CN 202211007696 A CN202211007696 A CN 202211007696A CN 115207887 A CN115207887 A CN 115207887A
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fault
wind power
positive sequence
positive
proportion
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樊艳芳
牛伟民
马翼飞
陈军
南东亮
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Xinjiang University
Electric Power Research Institute of State Grid Xinjiang Electric Power Co Ltd
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Xinjiang University
Electric Power Research Institute of State Grid Xinjiang Electric Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
    • H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
    • H02H7/26—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/002—Flicker reduction, e.g. compensation of flicker introduced by non-linear load
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/28—The renewable source being wind energy
    • 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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  • Power Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Nonlinear Science (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

A method and a system for judging the direction of a short-circuit fault of a wind power plant outgoing line comprise the following steps: collecting positive sequence voltage and current signals of a line sent by a wind power side; preprocessing the positive sequence voltage and current signal data, and calculating the positive sequence impedance amplitude by using the positive sequence voltage and current after data preprocessing; judging whether a fault starting condition is met or not according to the positive sequence impedance amplitude; calculating a positive sequence impedance amplitude fluctuation function, and counting the proportion of the number of fault criteria meeting the positive direction; obtaining a proportional setting value influenced by a measurement error and abnormal data; and comparing the proportion K of the fault criterion points meeting the positive direction with a proportion setting value to judge the fault direction. The invention can effectively distinguish the positive and negative faults of the line sent out by the wind power plant, and measure the fluctuation degree of the impedance by using a DFA method to form the line fault direction criterion. The wind power station is not influenced by the running condition of a wind power station and system oscillation, has strong transition resistance and abnormal data resistance, is suitable for a wind power access system, and has application prospect.

Description

Short-circuit fault direction judging method and system for wind power plant outgoing line
Technical Field
The invention belongs to the field of protection of a wind power plant outgoing line, and particularly relates to a method and a system for judging a short-circuit fault direction of a wind power plant outgoing line.
Background
Under the promotion of energy transformation and the increasing maturity of power electronic technology, the access of large-scale wind power to a power system tends to be great, the fault characteristics of the large-scale wind power are different from those of a conventional power grid, and the power frequency protection has an adaptation problem. The fault component directional element is widely applied in power systems. The fault component direction element is suitable for a linear network and a system with equal positive and negative sequence impedances, a power system is changed from the linear network to a nonlinear network by large-scale wind power access, the positive and negative sequence impedances of a wind power plant are unequal and fluctuation characteristics are presented, so that the traditional short-circuit fault direction judging method based on the fault component direction element is not suitable for a circuit sent out by the wind power plant, and the traditional short-circuit fault direction judging method aiming at the circuit sent out by the wind power plant caused by frequency deviation characteristics and impedance fluctuation is not reliable.
Disclosure of Invention
The invention aims to provide a method and a system for judging the direction of a short-circuit fault of a wind power plant sending line, which aim to solve the problem that the traditional method for judging the direction of the short-circuit fault of the wind power plant sending line caused by frequency deviation characteristics and impedance fluctuation is unreliable.
In order to achieve the purpose, the invention adopts the following technical scheme:
a short-circuit fault direction judging method for a wind power plant output line comprises the following steps:
when a transmission line of a wind power plant fails, collecting a positive sequence voltage signal and a current signal of the transmission line of a wind power side;
preprocessing the extracted positive sequence voltage and current signal data, and calculating a positive sequence impedance amplitude by using the positive sequence voltage and current after data preprocessing;
judging whether a fault starting condition is met or not according to the positive sequence impedance amplitude;
calculating a positive sequence impedance amplitude fluctuation function, and counting the proportion of the number of the fault criterion points meeting the positive direction;
obtaining a proportional setting value influenced by a measurement error and abnormal data;
and comparing the proportion K of the fault criterion points meeting the positive direction with a proportion setting value to judge the fault direction.
Further, positive sequence voltage and current signals of a line protection installation part sent by the wind power side are collected, and a data window is a period.
Further, the data preprocessing comprises the following steps: filtering data except 35 Hz-65 Hz in the extracted signals by using a band-pass filter, and extracting power frequency signals in the filtered data by using a Prony algorithm; calculating the positive sequence impedance according to the ratio of the voltage fault component to the current fault component, wherein the positive sequence impedance amplitude is calculated in the following mode:
Figure BDA0003809497690000021
in the formula: u shape M1 、I M1 Respectively positive sequence voltage and current signals U collected during the fault transient state of the wind power side transmission line M1|0| 、I M1|0| Respectively are positive sequence voltage signals and current signals collected before the failure of the wind power side transmission line.
Further, whether a fault starting condition is met or not is judged, and the steps specifically include:
setting the fault starting condition as positive sequence impedance amplitude value | Z by using the positive sequence impedance amplitude value difference when the wind power side transmission line has positive and negative faults M1 The positive sequence impedance amplitude value | Z of the wind power plant transmission line is greater than or equal to | L1 If yes, carrying out subsequent steps, and if not, continuing to detect.
Further, a positive sequence impedance amplitude fluctuation function is calculated, the proportion K of the number of fault criteria points meeting the positive direction is counted, and the method specifically comprises the following steps:
with | Z M1 I is a non-stationary time sequence, and Z is calculated M1 And obtaining a new contour sequence Y (n) by the accumulated dispersion of the | time sequence, wherein the calculation formula of the Y (n) is as follows:
Figure BDA0003809497690000022
in the formula:
Figure BDA0003809497690000023
is | Z M1 | time series average;
dividing the new sequence Y (N) into N by taking h discrete points as a group h Sub-intervals of equal length, N, not overlapping each other h ＝[N/h](ii) a The number of Y (N) discrete points is not always an integral multiple of h, and a small part of discrete points are not in N h Intra-subinterval phenomenon, N being performed in reverse order of Y (N) h Dividing the sub-intervals with equal length without overlapping to obtain 2N h A plurality of equal-length subintervals v; each equal length subinterval data v, v =1,2, ·, N h (ii) a Applying least squares fit to the subinterval local trend function y v (n); using Y (n) and Y v (n) local detrending, wherein the local detrending result of each subinterval is also the fluctuation value of each subinterval:
Figure BDA0003809497690000031
the result of local detrending of the inversely divided subintervals is:
Figure BDA0003809497690000032
|Z M1 the calculation formula of the | time series fluctuation function is as follows:
Figure BDA0003809497690000033
sending out positive and negative direction fault | Z of line according to wind power side M1 And (4) obtaining a line fault direction judgment condition by the I time sequence fluctuation function difference: alpha (h) = log under positive direction fault h F(h)>0, statistics satisfy α (h)>The ratio K of 0 points.
Further, the method for obtaining the proportion setting value influenced by the measurement error and the abnormal data comprises the following specific steps:
when a positive direction fault occurs in a wind power side transmission line, the proportion K satisfying alpha (h) >0 points in an ideal state is 100%, the influence of CT and PT measurement errors and abnormal data factors is considered, a reliability coefficient is introduced to avoid the influence of the factors, and a proportion setting value is formulated as follows:
K set ＝K 1 K 2
in the formula: k is 1 Taking 0.95 to account for the reliable coefficient of CT and PT measurement error factors; k 2 To account for the reliability factor of the anomalous data factor, 0.95 was taken. Calculating to obtain a proportional setting value K set ＝90％。
Further, when α (h) is satisfied>The proportion K of 0 point number is greater than the proportion setting value K set If the speed is not less than 90%, the wind power side transmission line fails in the positive direction, and otherwise, the wind power side transmission line fails in the negative direction.
Further, a short-circuit fault direction judging system for a wind power plant output line comprises:
the data acquisition module is used for acquiring positive sequence voltage and current signals of a wind power side transmission line when the transmission line of the wind power plant fails;
the positive sequence impedance amplitude acquisition module is used for preprocessing the extracted positive sequence voltage and current signal data and calculating the positive sequence impedance amplitude by using the positive sequence voltage and current after data preprocessing;
the judging module is used for judging whether the fault starting condition is met or not according to the positive sequence impedance amplitude;
the judgment data acquisition module is used for calculating a positive sequence impedance amplitude fluctuation function and counting the proportion of the number of the fault criteria meeting the positive direction; acquiring a proportional setting value influenced by measurement errors and abnormal data;
and the comparison module is used for comparing the proportion K of the fault criterion points meeting the positive direction with the proportion setting value to judge the fault direction.
Compared with the prior art, the invention has the following technical effects:
when a wind power plant output line fails, firstly sampling positive sequence voltage and current of the wind power side output line, secondly preprocessing the sampled data, calculating a positive sequence impedance amplitude value, judging whether a fault starting condition is met, then calculating a positive sequence impedance fluctuation function, and counting the proportion of the number of the met points. And finally, comparing the proportion of the satisfied points with a proportion setting value to judge the fault direction. The method can effectively distinguish the positive and negative faults of the line sent out by the wind power plant, and measure the fluctuation degree of the impedance by using a DFA method to form a line fault direction criterion. The wind power station is not influenced by the running condition of a wind power station and system oscillation, has strong transition resistance and abnormal data resistance, is suitable for a wind power access system, and has application prospect.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a structural topology of a large-scale wind turbine access power system in an embodiment of the present invention;
FIG. 3 is a positive sequence impedance fluctuation function of a wind power side transmission line with an ABG fault at a main transformer T1 according to the invention;
FIG. 4 is a positive sequence impedance fluctuation function of a wind power side transmission line of the invention when ABG fault occurs on a transmission line of a wind power plant.
Detailed Description
The invention is further described with reference to the following drawings and detailed description.
The technical scheme of the invention is as follows: when a wind power plant output line fails, firstly sampling positive sequence voltage and current of the wind power side output line, secondly preprocessing the sampled data, then calculating a positive sequence impedance amplitude value, judging whether a fault starting condition is met, then calculating a positive sequence impedance fluctuation function, and counting the proportion K of points satisfying alpha (h) > 0. And finally, comparing the proportion K meeting the requirement of alpha (h) >0 points with a proportion setting value to judge the fault direction.
The method comprises the following specific steps:
step 1, extracting positive sequence voltage and current signals of a line protection installation part sent by a wind power side, preprocessing the data of the extracted positive sequence voltage and current signals, and calculating a positive sequence impedance amplitude by using the positive sequence voltage and current after data preprocessing;
step 2, judging whether the fault starting condition is met or not according to the positive sequence impedance amplitude;
step 3, calculating a positive sequence impedance amplitude fluctuation function, and counting the proportion of fault criterion points meeting the positive direction;
step 4, formulating a proportion setting value considering the influence of the measurement error and the abnormal data;
and 5, comparing the proportion K of the fault criterion points meeting the positive direction with a proportion setting value, and judging the fault direction.
Protection installations are usually in indoor power distribution cabinets, outdoor substation (usually in-situ protection), power transmission lines, etc.
Example 1: a large-scale fan access power system shown in the attached figure 2 is established as a simulation model. The wind power plant consists of 33 1.5MW double-fed fans. The main transformer T1 has the equivalent positive sequence impedance of Z T1 = j0.12; the equivalent positive sequence impedance of a wind power plant output line is Z L1 =0.164+j0.479; the equivalent positive sequence impedance of the power grid system is Z S1 = j0.065. The system reference voltage is 220kV, and the reference capacity is 1000MWA. Setting the operation condition of the wind power plant to be in a super-synchronous operation state, setting the fault type to be an ABG fault, and setting the fault point to be f 1 And f is 2 To (3).
(1) When f is 1 When ABG fault occurs, preprocessing the collected wind power side output line positive sequence voltage and current signal data, calculating the positive sequence impedance amplitude and the fluctuation function F (h) thereof, and obtaining the fluctuation function F (h) max =0.00043; satisfy alpha (h) by statistics>The ratio of 0 point can be K =0%, and the setting value K set Comparison of =90%, give K<K set If a reverse direction fault is determined, the ripple function F (h) is embodied as shown in fig. 3.
(1) When f is 2 When ABG fault occurs, preprocessing the collected wind power side output line positive sequence voltage and current signal data, calculating the positive sequence impedance amplitude and the fluctuation function F (h) thereof, and obtaining the fluctuation function F (h) min =49.2347; satisfy alpha (h) by statistics>The ratio of 0 point can be K =100%, and the setting value K set Comparison of =90%, give K>K set And a positive direction fault is determined, the ripple function F (h) is embodied as fig. 4.
Example 2: a large-scale fan access power system shown in the attached figure 2 is established as a simulation model. The wind power plant consists of 33 1.5MW doubly-fed wind turbines. The main transformer T1 has the equivalent positive sequence impedance of Z T1 = j0.12; the equivalent positive sequence impedance of a wind power plant output line is Z L1 =0.164+j0.479; the equivalent positive sequence impedance of the power grid system is Z S1 = j0.065. The system reference voltage is 220kV, and the reference capacity is 1000MWA. When no fault occurs in the topology shown in fig. 2, the power system is set to oscillate, the phase angle difference of the power supplies at the two ends is set to periodically change at 0-360 degrees, and the oscillation time is 1 second.
(1) When no fault occurs in the topology shown in FIG. 2 and the operation condition of the wind power plant is a sub-synchronous operation state, after the power system oscillates, the collected positive sequence voltage and current signal data of the wind power side transmission line are preprocessed, and the positive sequence impedance amplitude | Z is calculated M1 L. Can obtain | Z M1 In | time series | Z M1 | max =0.0040p.u., and | Z can be obtained by the fault starting condition criterion M1 | max <|Z L1 And I, failing to meet the fault starting condition.
(2) When no fault occurs in the topology shown in fig. 2 and the operation condition of the wind power plant is in a synchronous operation state, after the power system oscillates, the collected positive sequence voltage and current signal data of the wind power side transmission line are preprocessed, and the positive sequence impedance amplitude | Z is calculated M1 L. Can obtain | Z M1 | Z in | time series M1 | max =0.0201p.u., and | Z can be obtained by a fault starting condition criterion M1 | max <|Z L1 And I, failing to meet the fault starting condition.
(3) When no fault occurs in the topology shown in fig. 2 and the operation condition of the wind power plant is in a super-synchronous operation state, after the power system oscillates, preprocessing the collected positive sequence voltage and current signal data of the wind power transmission line, and calculating the positive sequence impedance amplitude | Z M1 L. Can obtain | Z M1 In | time series | Z M1 | max =0.2110p.u., and | Z can be obtained through fault starting condition criterion M1 | max <|Z L1 And I, failing to meet the fault starting condition.
Example 3: a large-scale fan access power system shown in the attached figure 2 is established as a simulation model. The wind power plant consists of 33 1.5MW doubly-fed wind turbines. The main transformer T1 has the equivalent positive sequence impedance of Z T1 = j0.12; the equivalent positive sequence impedance of a wind power plant output line is Z L1 =0.164+j0.479; the equivalent positive sequence impedance of the power grid system is Z S1 = j0.065. The system reference voltage is 220kV, and the reference capacity is 1000MWA. Setting the fault type as ABG fault, setting the fault point as wind power plant sending line f 2 And setting a wind power side to send out a line voltage and current signal, wherein data missing or false pulse occurs once every 5 ms.
(1) In order to verify the data loss resistance of the algorithm, table 1 shows the verification results of the line fault direction discrimination method for data loss when ABG faults of different transition resistors are set in different running states of the wind farm.
Table 1 line fault direction discrimination method verification under data loss
Figure BDA0003809497690000071
From table 1, it can be seen that, when different transition resistances ABG are set in different operating states of the wind farm, data loss occurs, the method for determining the fault direction of the line has stable precision, and the data loss resistance is strong in different operating states and transition resistances.
(2) In order to verify the virtual pulse resistance of the proposed algorithm, table 2 shows the verification results of the line fault direction discrimination method for generating virtual pulses when different transition resistances ABG faults are set in different operating states of the wind farm.
TABLE 2 line fault direction discrimination method verification under virtual pulse
Figure BDA0003809497690000081
From table 2, it can be seen that when different transition resistances ABG are set in different operating states of the wind farm, virtual pulse occurs, the method for determining the fault direction of the line has stable precision, and has strong data loss resistance in different operating states and transition resistances.

Claims (8)

1. A short-circuit fault direction distinguishing method for a wind power plant output line is characterized by comprising the following steps:
when a transmission line of a wind power plant fails, acquiring positive sequence voltage and current signals of the transmission line of a wind power side;
preprocessing the extracted positive sequence voltage and current signal data, and calculating a positive sequence impedance amplitude by using the positive sequence voltage and current after data preprocessing;
judging whether a fault starting condition is met or not according to the positive sequence impedance amplitude;
calculating a positive sequence impedance amplitude fluctuation function, and counting the proportion of the number of the fault criterion points meeting the positive direction;
obtaining a proportional setting value influenced by a measurement error and abnormal data;
and comparing the proportion K of the fault criterion points meeting the positive direction with a proportion setting value to judge the fault direction.
2. The method for judging the direction of the short-circuit fault of the wind power plant outgoing line according to claim 1, characterized in that positive sequence voltage and current signals at the wind power side outgoing line protection installation position are collected, and a data window is one cycle.
3. The method for judging the direction of the short-circuit fault of the wind power plant outgoing line according to claim 1, characterized in that the data preprocessing comprises the following steps: filtering data except for 35 Hz-65 Hz in the extracted signals by using a band-pass filter, and extracting power frequency signals in the filtered data by using a Prony algorithm; calculating the positive sequence impedance according to the ratio of the voltage fault component to the current fault component, wherein the positive sequence impedance amplitude is calculated in the following mode:
Figure FDA0003809497680000011
in the formula: u shape M1 、I M1 Respectively positive sequence voltage and current signals U collected during the fault transient state of the wind power side transmission line M1|0| 、I M1|0| Respectively are positive sequence voltage signals and current signals collected before the failure of the wind power side transmission line.
4. The method for judging the direction of the short-circuit fault of the wind power plant outgoing line according to claim 1 is characterized by judging whether a fault starting condition is met or not, and the steps are as follows:
setting the fault starting condition as a positive sequence impedance amplitude value | Z by using the positive sequence impedance amplitude value difference when the wind power side transmission line has positive and negative direction faults M1 The positive sequence impedance amplitude value | Z of the wind power plant transmission line is greater than or equal to | L1 If yes, carrying out subsequent steps, and if not, continuing to detect.
5. The method for judging the short-circuit fault direction of the wind power plant outgoing line according to claim 1, characterized by calculating a positive sequence impedance amplitude fluctuation function and counting the proportion K of the number of points meeting a positive direction fault criterion, and the steps are specifically as follows:
with | Z M1 I is a non-stationary time sequence, and Z is calculated M1 And obtaining a new contour sequence Y (n) by the accumulated dispersion of the | time sequence, wherein the calculation formula of the Y (n) is as follows:
Figure FDA0003809497680000021
in the formula:
Figure FDA0003809497680000022
is | Z M1 | time series average;
dividing the new sequence Y (N) into N by taking h discrete points as a group h Sub-intervals of equal length, N, not overlapping each other h ＝[N/h](ii) a The number of Y (N) discrete points is not always an integral multiple of h, and a small part of discrete points are not in N h Intra-subinterval phenomenon, N being performed in reverse order of Y (N) h Dividing the sub-intervals with equal length without overlapping each other to obtain 2N h A plurality of equal-length subintervals v; each equal length subinterval data v, v =1,2, ·, N h (ii) a Using least squares fit to the local trend function y of the subinterval v (n); using Y (n) and Y v (n) local detrending, wherein the local detrending result of each subinterval is also the fluctuation value of each subinterval:
Figure FDA0003809497680000023
the result of local detrending of the inversely divided subintervals is:
Figure FDA0003809497680000024
|Z M1 the calculation formula of the | time series fluctuation function is as follows:
Figure FDA0003809497680000025
sending out positive and negative direction fault | Z of line according to wind power side M1 And l, obtaining a line fault direction judgment condition by the fluctuation function difference of the time series: alpha (h) = log under positive direction fault h F(h)>0, statistics satisfy α (h)>The ratio K of 0 points.
6. The method for judging the direction of the short-circuit fault of the wind power plant outgoing line according to claim 1 is characterized in that the method for obtaining the proportional setting value influenced by the measurement error and the abnormal data comprises the following steps:
when positive direction fault occurs to a wind power side transmission line, the proportion K of points alpha (h) >0 is 100% under an ideal state, CT and PT measurement errors and abnormal data factor influence are considered, a reliable coefficient is introduced to avoid the factor influence, and a proportion setting value is formulated as follows:
K set ＝K 1 K 2
in the formula: k 1 Taking 0.95 to account for the reliable coefficient of CT and PT measurement error factors; k is 2 Taking 0.95 to account for the reliability coefficient of the abnormal data factor; calculating to obtain a proportional setting value K set ＝90％。
7. The method for judging the direction of the short-circuit fault of the wind farm outgoing line according to claim 6, characterized in that when alpha (h) is satisfied>The proportion K of 0 point number is greater than the proportion setting value K set And if the speed is 90%, the wind power side transmission line has a positive direction fault, and otherwise, the wind power side transmission line has a negative direction fault.
8. A short-circuit fault direction judging system for a wind power plant outgoing line is characterized by comprising the following components:
the data acquisition module is used for acquiring positive sequence voltage and current signals of a wind power side transmission line when the transmission line of the wind power plant fails;
the positive sequence impedance amplitude acquisition module is used for preprocessing the extracted positive sequence voltage and current signal data and calculating the positive sequence impedance amplitude by using the positive sequence voltage and current after data preprocessing;
the judging module is used for judging whether the fault starting condition is met or not according to the positive sequence impedance amplitude;
the judgment data acquisition module is used for calculating a positive sequence impedance amplitude fluctuation function and counting the proportion of the number of the fault criteria meeting the positive direction; obtaining a proportional setting value influenced by a measurement error and abnormal data;
and the comparison module is used for comparing the proportion K of the fault criterion points meeting the positive direction with the proportion setting value to judge the fault direction.
CN202211007696.1A 2022-08-22 2022-08-22 Short-circuit fault direction judging method and system for wind power plant outgoing line Pending CN115207887A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117269664A (en) * 2023-08-18 2023-12-22 国家电网有限公司华东分部 Positioning method and device for line fault points of wind power plant and electronic equipment

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117269664A (en) * 2023-08-18 2023-12-22 国家电网有限公司华东分部 Positioning method and device for line fault points of wind power plant and electronic equipment
CN117269664B (en) * 2023-08-18 2024-05-03 国家电网有限公司华东分部 Positioning method and device for line fault points of wind power plant and electronic equipment

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