CN115526203A - Method for judging overvoltage type of motor train unit - Google Patents

Method for judging overvoltage type of motor train unit Download PDF

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Publication number
CN115526203A
CN115526203A CN202211065482.XA CN202211065482A CN115526203A CN 115526203 A CN115526203 A CN 115526203A CN 202211065482 A CN202211065482 A CN 202211065482A CN 115526203 A CN115526203 A CN 115526203A
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overvoltage
network
voltage
judging
effective values
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王庆峰
李双亮
张健穹
李相强
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Southwest Jiaotong University
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Southwest Jiaotong University
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    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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Abstract

The invention provides a method for judging overvoltage type of a motor train unit, belonging to the technical field of motor train units, and the method comprises the following steps: collecting network voltage signals and network flow signals before and after overvoltage occurrence time by using a collection card with a triggering function; respectively acquiring network pressure parameters and network flow parameters based on the acquired signals; and judging the overvoltage type based on the acquired parameters. The present invention solves the problems that the identification capability of the overvoltage type is poor and it is difficult to process a large amount of data in a short time.

Description

Method for judging overvoltage type of motor train unit
Technical Field
The invention belongs to the technical field of motor train units, and particularly relates to a method for judging overvoltage types of the motor train units.
Background
In recent years, the high-speed rail of China is rapidly developed, the running speed of a motor train unit reaches 350km/h, and the generation frequency of overvoltage of a train is increased along with the running speed of the motor train unit. On one hand, the overvoltage is coupled to a vehicle body through a vehicle roof high-voltage cable to cause the potential of the vehicle body to float, the electromagnetic compatibility characteristic of vehicle-mounted weak current equipment is influenced, and faults such as a speed sensor, a broadcasting system and the like occur; on the other hand, frequent overvoltage impact causes cumulative damage to power supply equipment and trains, and the power supply equipment and the trains are changed from quantitative change to qualitative change, so that the safety of the trains and the power supply is influenced. In order to quickly judge the failure reason of the motor train unit and find the design defects and weak links of the motor train unit, the overvoltage type identification research of the motor train unit needs to be carried out so as to ensure the safe operation of the train. The overvoltage types to be judged mainly comprise rising and falling arches, entering and phase splitting, exiting and phase splitting, combining main circuit breakers, breaking main circuit breakers and high-frequency resonance and ferromagnetic resonance overvoltage.
At present, the identification of the overvoltage mainly focuses on the analysis and research of the overvoltage waveform itself, and the adopted methods include time domain analysis, frequency domain analysis and time-frequency domain analysis. The time domain analysis method has the advantages that parameters are randomly selected, information contained in the waveform is difficult to see, and characteristics of different waveforms are not easy to summarize; the frequency domain analysis method is excellent in performance when processing steady signals, but is not suitable for overvoltage transient signals; although time-frequency domain analysis methods such as wavelet transformation, S transformation, etc. have good processing capability for transient signals, the algorithms are complex and time-consuming, which is not favorable for processing a large amount of data. In summary, the problems of the prior art methods are mainly two points: (1) poor ability to identify overvoltages; (2) it is difficult to process a large amount of data in a short time.
Disclosure of Invention
In order to overcome the defects in the prior art, the method for judging the overvoltage type of the motor train unit provided by the invention solves the problems that the identification capability of the overvoltage type is poor and a large amount of data is difficult to process in a short time.
In order to achieve the above purpose, the invention adopts the technical scheme that:
the scheme provides a method for judging the overvoltage type of a motor train unit, which comprises the following steps:
s1, signal acquisition: simultaneously acquiring a network voltage signal and a network flow signal by using an acquisition card with a triggering function;
s2, acquiring parameters: respectively acquiring network pressure parameters and network flow parameters based on the acquired signals;
s3, judging the overvoltage type: and judging the overvoltage type based on the acquired parameters.
The invention has the beneficial effects that: according to the method, the voltage value and the current value of a contact network on the motor train unit, namely the network voltage and the network current for short, are obtained based on the voltage signal of the secondary side of the voltage transformer on the top of the motor train unit and the current signal of the secondary side of the current transformer, the type of the overvoltage is accurately judged by analyzing different change conditions of the two signals of the network voltage and the network current before and after the overvoltage, and data support is provided for analyzing and removing faults of the motor train unit and optimizing and improving a train system.
Further, the step S1 includes the steps of:
s101, acquiring a network pressure signal: installing a voltage divider between a secondary side interface of a voltage transformer on the top of the bullet train and an acquisition card with a trigger function, and acquiring a network voltage signal from the secondary side interface of the voltage transformer;
s102, collecting network flow signals: and a secondary side interface of a current transformer on the roof of the driven vehicle acquires a network flow signal and outputs the network flow signal to an acquisition card with a trigger function.
Still further, the step S2 includes the steps of:
s201, calculating an amplitude value: storing the network pressure signal and the network flow signal as effective values, and calculating the effective values every 20 ms;
s202, selecting network flow signal parameters: based on a GFX-3A control system, selecting network flow effective values from 0.7s to 1s before an overvoltage trigger time by taking the overvoltage trigger time as a starting point, and taking the average value of the network flow effective values in the time period as a network flow parameter I1 before the trigger time; selecting net flow effective values from 0.4s to 0.7s after the overvoltage triggering moment by taking the overvoltage triggering moment as a starting point, and taking the average value of the net flow effective values in the time period as a net flow parameter I2 after the triggering moment;
s203, selecting network voltage signal parameters: based on a GFX-3A control system, the overvoltage triggering time is taken as a starting point, the network voltage effective values in 0.1s to 0.3s before the overvoltage triggering time are selected, the average value of the network voltage effective values in the time period is taken as the network voltage parameter V1 before the triggering time, the network voltage effective values in 0.2s to 0.4s after the overvoltage triggering time are selected with the overvoltage triggering time as the starting point, and the average value of the network voltage effective values in the time period is taken as the network voltage parameter V2 after the triggering time.
The beneficial effects of the further scheme are as follows: by selecting the network flow network pressure signal parameters through the scheme, the effects of small data calculation amount and low requirement on hardware calculation power are realized.
Still further, the step S3 specifically includes: and judging the pantograph rising overvoltage, pantograph falling overvoltage, phase inlet split overvoltage, phase outlet split overvoltage, main breaker combining overvoltage, main breaker breaking overvoltage, high-frequency resonance overvoltage and ferromagnetic resonance overvoltage respectively according to the network flow parameter I1, the network flow parameter I2, the network voltage parameter V1 and the network voltage parameter V2.
Still further, the judgment condition of the pantograph rising overvoltage is as follows:
0≤V1<4
26≤V2<28
I1≤2
I2≤2
the judgment condition of the bow-lowering overvoltage is as follows:
26≤V1<28
0≤V2<4
I1≤2
I2≤2
the condition for judging the phase-splitting overvoltage is as follows:
26≤V1<28
4≤V2<15
I1≤2
I2≤2
the judgment condition of the phase-out overvoltage is as follows:
4≤V1<15
26≤V2<28
I1≤2
I2≤2
the judgment condition of the main breaker overvoltage is as follows:
26≤V1<28
26≤V2<28
I1≤2
I2≤2
the judgment condition for breaking the overvoltage of the main breaker is as follows:
26≤V1<28
26≤V2<28
I1>2
I2≤2
the judgment condition of the high-frequency resonance overvoltage is as follows:
26≤V1<28
V2>28
I1>2
I2>2
the ferromagnetic resonance overvoltage judgment conditions are as follows:
26≤V1<28
15≤V2<26
I1≤2
I2≤2
wherein the units of V1 and V2 are both kV; the units of I1 and I2 are both A.
The beneficial effects of the further scheme are as follows: the overvoltage type recognition speed is high and the recognition accuracy is high through the judgment conditions.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
Fig. 2 is a schematic diagram of a signal acquisition principle in this embodiment.
Fig. 3 is a schematic diagram of a GFX-3A control flow entering the phase separation region in the present embodiment.
Fig. 4 is a schematic diagram of the GFX-3A control flow of the separation phase region in the present embodiment.
Fig. 5 is a schematic diagram illustrating selection of network flow time parameters in the present embodiment.
Fig. 6 is a schematic diagram illustrating selection of network flow time parameters in this embodiment.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate the understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and it will be apparent to those skilled in the art that various changes may be made without departing from the spirit and scope of the invention as defined and defined in the appended claims, and all matters produced by the invention using the inventive concept are protected.
Examples
At present, the identification technology of the overvoltage type of the motor train unit focuses on analyzing the overvoltage waveform signal, and the technology faces various problems. Firstly, the overvoltage signal is a high-frequency transient signal, if the overvoltage signal is accurately and completely captured, high-sampling-rate acquisition equipment is required, so that the hardware cost of the system is increased, the data volume is increased, and the storage of a large amount of data is not facilitated; secondly, overvoltage waveform data are large, no matter a time domain, a frequency domain or a time-frequency domain analysis method is adopted, when a large amount of data exist, time consumption is long, and the type of the generated overvoltage cannot be given in time to help quickly eliminate faults of the motor train unit. The network voltage and network flow effective values on the motor train unit are judged, on one hand, network voltage and network flow signals are easy to obtain, and can be obtained through an interface of a voltage (current) secondary side in the electric cabinet; on the other hand, the effective values of the network voltage and the network flow are easy to calculate, an algorithm for judging based on the effective values of the network voltage and the network flow is easy to realize, the whole judging method has low requirement on calculated amount, the overvoltage type can be quickly judged, further, the overvoltage type can be identified in real time based on the real-time conditions of the network voltage and the network flow, and the safe and reliable operation of the train is guaranteed. As shown in fig. 1, the invention provides a method for judging overvoltage type of a motor train unit, which comprises the following steps:
s1, signal acquisition: the method is characterized in that a collecting card with a triggering function is used for collecting network voltage signals and network flow signals at the same time, and the method is as follows:
s101, acquiring a network pressure signal: installing a voltage divider between a secondary side interface of a voltage transformer on the top of the bullet train and an acquisition card with a trigger function, and acquiring a network voltage signal from the secondary side interface of the voltage transformer;
s102, collecting network flow signals: and a secondary side interface of a current transformer on the roof of the driven vehicle acquires a network flow signal and outputs the network flow signal to an acquisition card with a trigger function.
In this embodiment, a capture card with a trigger function is used to capture network voltage and network flow signals simultaneously. The network voltage signal is obtained from a secondary side interface of a voltage transformer on the roof, and a voltage divider is additionally arranged between the secondary side interface and an acquisition card to ensure that the voltage amplitude of the signal does not exceed the range of the acquisition card, and the transformation ratio of the voltage divider is 250 or 200; and the network flow signal is acquired from a secondary side interface of a current transformer on the roof of the vehicle and then output to an acquisition card. The signal acquisition principle is shown in fig. 2.
S2, acquiring parameters: respectively acquiring network pressure parameters and network flow parameters based on the acquired signals, wherein the implementation method comprises the following steps:
s201, calculating an amplitude value: storing the network pressure signal and the network flow signal by effective values, and calculating the effective values once every 20 ms;
s202, selecting network flow signal parameters: based on a GFX-3A control system, selecting network flow effective values from 0.7s to 1s before an overvoltage trigger time by taking the overvoltage trigger time as a starting point, and taking the average value of the network flow effective values in the time period as a network flow parameter I1 before the trigger time; selecting net flow effective values from 0.4s to 0.7s after the overvoltage triggering moment by taking the overvoltage triggering moment as a starting point, and taking the average value of the net flow effective values in the time period as a net flow parameter I2 after the triggering moment;
in the embodiment, the network flow parameter selection is based on the control of the GFX-3A control system of the motor train unit on the passing neutral section. Entering a phase separation area: after the bullet train receives the pre-warning neutral section signal for 1s, voltage holding is triggered (the traction motor is converted into a generator to continuously supply power to a vehicle-mounted power supply), after the voltage holding is triggered, the traction force is linearly reduced to 0 according to a preset gradient, the braking force is increased according to the preset gradient, the voltage holding phase is successfully switched to, and the duration time of the process is about 0.5s. After 0.1s, VCB is turned off. If the prediction fails to report the excessive phase signal, the excessive phase signal is forced to command excessive phase, and the train can automatically disconnect the VCB and directly switch to a voltage holding state. Driving out of phase separation region: after the train leaves the phase separation area, the recovery signal is received, the main circuit breaker control unit needs to confirm the recovery of the network voltage after 3s, and the signal is transmitted to the traction control unit. After 3s, VCB is closed, the voltage is stopped and kept for 1.5s by the delay traction control unit, then the traction converter is in a normal state after 3s, traction force is established according to the state of the traction controller, the traction system is reused, and the electric brake is normally used again. Based on the control flow, the network pressure and network flow parameter ranges selected when entering the phase separation area are not related to the network pressure and network flow parameter ranges when leaving the phase separation area.
S203, selecting network voltage signal parameters: based on a GFX-3A control system, the overvoltage triggering time is taken as a starting point, the network voltage effective values in the 0.1 th to 0.3 th seconds before the overvoltage triggering time are selected, the average value of the network voltage effective values in the time period is taken as the network voltage parameter V1 before the triggering time, the network voltage effective values in the 0.2 th to 0.4 th seconds after the overvoltage triggering time are selected by taking the overvoltage triggering time as the starting point, and the average value of the network voltage effective values in the time period is taken as the network voltage parameter V2 after the triggering time.
In this embodiment, the key problem of the overvoltage determination method based on network voltage and network current is to identify the overvoltage when phase separation is performed. The automatic passing neutral section of the motor train unit is controlled by a GFX-3A system, and the specific control process is as follows:
(1) Enter a phase separation zone
As shown in fig. 3, the motor car receives the forenotice of passing through the neutral section signal, and 1s later, the voltage holding is triggered (the traction motor is converted into a generator to supply power to the vehicle power supply continuously). After triggering, the traction force is linearly reduced to 0 at a predetermined gradient and the braking force is increased at a predetermined gradient, successfully switching to the voltage holding phase, which lasts for about 0.5s. After 0.1s, VCB is turned off. If the prediction of the over-phase signal fails, the over-phase signal is forced to command over-phase, and the train automatically disconnects the VCB and directly switches to a voltage holding state.
(2) Drive-off phase separation
As shown in fig. 4, after the train leaves the phase separation area, the main circuit breaker control unit needs to confirm the recovery of the network voltage after receiving the recovery signal for 3s, and transmits the signal to the traction control unit. After 3s, VCB is closed, the voltage is stopped and kept for 1.5s by the delay traction control unit, then the traction converter is in a normal state after 3s, traction force is established according to the state of the traction controller, the traction system is reused, and the electric brake is normally used again.
In this embodiment, the main technical means of the present invention is based on the change of the effective value of the network voltage and the network current before and after the overvoltage occurs. The scheme mainly relates to the problems of selection of the starting time and the ending time of network pressure and network flow parameters and an amplitude calculation method, and according to the control flow, the following problems are respectively explained:
(1) Amplitude calculation method
The network pressure and network flow signals are stored as effective values, and the effective values are stored after being calculated once every 20ms (one cycle).
(2) Selection of network flow signal parameters
The selection of the network flow parameters relates to the network flow parameters before overvoltage and the network flow parameters after overvoltage. The parameters are selected by considering the network flow change duration corresponding to different overvoltage, the selected network flow parameters can accurately reflect the overvoltage types corresponding to the parameters, the network flow parameters are selected as shown in figure 5 based on a GFX-3A system of the motor train unit, and the network flow parameters I1 before the triggering time are selected: taking the overvoltage triggering time as a starting point, and selecting the average value of the net flow effective values from 0.7s to 1s (total time: 0.3 s) before the overvoltage triggering time as a parameter I1.
As shown in fig. 5, selecting a network flow parameter I2 after the trigger time: taking the overvoltage triggering time as a starting point, and selecting the average value of net flow effective values from 0.4s to 0.7s (total time: 0.3 s) after the overvoltage triggering time as a parameter I2.
(3) Selection of network pressure signal parameters
The selection of the network voltage parameter relates to the network voltage parameter before overvoltage and the network voltage parameter after overvoltage. The parameters are selected by considering the network voltage change duration corresponding to different overvoltage, the selected network voltage parameters can accurately reflect the overvoltage types corresponding to the parameters, and based on a GFX-3A system of the motor train unit, the network voltage parameters are selected as shown in figure 6, and a network voltage parameter number V1 before the triggering moment is selected: taking the overvoltage triggering time as a starting point, and selecting the average value of the net voltage effective values from 0.1s to 0.3s (total time: 0.2 s) before the overvoltage triggering time as a parameter V1.
As shown in fig. 6, the selection of the network voltage parameter V2 after the trigger time: taking the overvoltage triggering time as a starting point, selecting the average value of the net voltage effective values from 0.2s to 0.4s (total time: 0.2 s) after the overvoltage triggering time as a parameter V2.
S3, judging the overvoltage type: based on the acquired parameters, the overvoltage type is judged, which specifically comprises the following steps: and judging the pantograph rising overvoltage, pantograph falling overvoltage, phase inlet split overvoltage, phase outlet split overvoltage, main breaker combining overvoltage, main breaker breaking overvoltage, high-frequency resonance overvoltage and ferromagnetic resonance overvoltage respectively according to the network flow parameter I1, the network flow parameter I2, the network voltage parameter V1 and the network voltage parameter V2.
In this embodiment, the network pressure and network flow change conditions before and after different overvoltage types are different, and the determination is performed according to the selected network flow parameter I1, the selected network flow parameter I2, the selected network pressure parameter V1, and the selected network pressure parameter V2, where the determination of different overvoltage is based on the following:
(1) Lifting bow
Before the pantograph is lifted, the pantograph is separated from a contact network, and the network voltage value is 0 at the moment; the main breaker is in an off state, and the network flow value is 0. After the pantograph is lifted, the pantograph is in contact with a contact network, the measured network voltage is 27.5kV, the main circuit breaker is still in a disconnected state, and the network current value is 0. Because the network pressure and the network flow fluctuate, the parameters are set as follows:
Figure BDA0003828226920000101
that is, when the parameter satisfies the formula (1), the overvoltage is determined as the pantograph-ascending overvoltage. Wherein V1 and V2 are kV; the units of I1 and I2 are A.
(2) Bow lowering device
Before the pantograph is lowered, the main circuit breaker is disconnected, so that the network flow values before and after pantograph lowering are all 0; the change in network voltage was from 27.5kV to 0. Because the network pressure and the network flow fluctuate, the parameters are set as follows:
Figure BDA0003828226920000102
that is, when the parameter satisfies the formula (2), the overvoltage is determined as the pantograph-descending overvoltage. Wherein V1 and V2 are kV; the units of I1 and I2 are A.
(3) Phase separation
When the motor train unit passes through the neutral section, the main circuit breaker is disconnected firstly, and then the motor train unit passes through the neutral section. Namely, when the phase separation is carried out, the network voltage is reduced to the induction voltage on the neutral line from 27.5kV; the net current value is 0 before and after the overvoltage. Because the network pressure and the network flow fluctuate, the parameters are set as follows:
Figure BDA0003828226920000103
that is, when the parameter satisfies the formula (3), the overvoltage is determined as the phase splitting overvoltage. In the formula, the unit of V1 and V2 is kV; the units of I1 and I2 are A.
(4) Phase separation
The grid voltage value is increased to 27.5kV from the neutral line induced voltage, and the grid current value is kept to be 0 before and after the main circuit breaker is not closed. Because the network pressure and the network flow fluctuate, the parameters are set as follows:
Figure BDA0003828226920000111
that is, when the parameter satisfies the formula (4), the overvoltage is determined as the split-phase overvoltage. In the formula, the unit of V1 and V2 is kV; the units of I1 and I2 are A.
(5) Closing main circuit breaker
At the moment, the pantograph normally contacts with a contact network, so that the voltage of the contact network is 27.5kV before and after the main circuit breaker is closed; after closing the main circuit breaker, the traction force can be reestablished after delaying 4.5s, namely the change of the selected network flow parameter is 0 before and after, and the parameters are set as follows because the network pressure and the network flow fluctuate:
Figure BDA0003828226920000112
that is, when the parameter satisfies the formula (5), the overvoltage is determined as the main breaker overvoltage. Wherein V1 and V2 are kV; the units of I1 and I2 are A.
(6) Main breaking circuit breaker
The pantograph and the overhead line system are in normal contact with each other before and after operation, so the voltage of the overhead line system is 27.5kV before and after the operation. Before the main circuit breaker is broken, the motor train unit can gradually reduce traction force to zero, then the main circuit breaker is broken by delaying for 100ms, and the change condition of selected network flow parameters is as follows: from the operating current to 0A. Because the network pressure and the network flow fluctuate, the parameters are set as follows:
Figure BDA0003828226920000113
that is, when the parameter satisfies the formula (6), the overvoltage is determined as the main breaker-off overvoltage. In the formula, the unit of V1 and V2 is kV; the units of I1 and I2 are A.
(7) High frequency resonance
The high-frequency resonance overvoltage is a condition that the overvoltage duration is long, and when the high-frequency resonance occurs, the amplitude of the overvoltage continuously exceeds the amplitude of the normal overvoltage for a long time. Because the network pressure and the network flow fluctuate, the parameters are set as follows:
Figure BDA0003828226920000121
that is, when the parameter satisfies the formula (7), the overvoltage is determined as a high-frequency resonance overvoltage. Wherein V1 and V2 are kV; the units of I1 and I2 are A.
(8) Ferroresonance
Ferromagnetic resonance overvoltage often occurs after a phase splitting process, so that a network voltage parameter before ferromagnetic resonance is a normal network voltage, and the network voltage after overvoltage is larger than the voltage on a neutral line; the net current is 0 before and after the overvoltage. Because the network pressure and the network flow fluctuate, the parameters are set as follows:
Figure BDA0003828226920000122
that is, when the parameter satisfies the formula (8), the overvoltage is determined as a ferroresonance overvoltage. In the formula, the unit of V1 and V2 is kV; the units of I1 and I2 are A.
According to the method, the voltage value and the current value of a contact net on the motor train unit, namely the voltage and the current, are obtained based on the voltage signal of the secondary side of the voltage transformer and the current signal of the secondary side of the current transformer on the top of the motor train unit. By analyzing different change conditions of two signals of network voltage and network flow before and after overvoltage, the type of the overvoltage is accurately judged, and data support is provided for analyzing and eliminating faults of the motor train unit and optimizing and improving a train system.

Claims (5)

1. A method for judging the overvoltage type of a motor train unit is characterized by comprising the following steps:
s1, signal acquisition: collecting network voltage signals and network flow signals simultaneously by using a collection card with a triggering function;
s2, acquiring parameters: respectively acquiring network pressure parameters and network flow parameters based on the acquired signals;
s3, judging the overvoltage type: and judging the overvoltage type based on the acquired parameters.
2. The method for judging the overvoltage type of the motor train unit according to claim 1, wherein the step S1 comprises the following steps:
s101, acquiring a network pressure signal: installing a voltage divider between a secondary side interface of a voltage transformer on the top of the bullet train and an acquisition card with a trigger function, and acquiring a network voltage signal from the secondary side interface of the voltage transformer;
s102, collecting network flow signals: and a secondary side interface of a current transformer on the roof of the driven vehicle acquires a network flow signal and outputs the network flow signal to an acquisition card with a trigger function.
3. The method for judging the overvoltage type of the motor train unit according to claim 2, wherein the step S2 comprises the following steps:
s201, calculating an amplitude value: storing the network pressure signal and the network flow signal as effective values, and calculating the effective values every 20 ms;
s202, selecting network flow signal parameters: based on a GFX-3A control system, selecting net flow effective values from 0.7s to 1s before overvoltage triggering time by taking the overvoltage triggering time as a starting point, and taking the average value of the net flow effective values in the time period as a net flow parameter I1 before the triggering time; selecting net flow effective values from 0.4s to 0.7s after the overvoltage triggering moment by taking the overvoltage triggering moment as a starting point, and taking the average value of the net flow effective values in the time period as a net flow parameter I2 after the triggering moment;
s203, selecting network voltage signal parameters: based on a GFX-3A control system, the overvoltage triggering time is taken as a starting point, the network voltage effective values in 0.1s to 0.3s before the overvoltage triggering time are selected, the average value of the network voltage effective values in the time period is taken as the network voltage parameter V1 before the triggering time, the network voltage effective values in 0.2s to 0.4s after the overvoltage triggering time are selected with the overvoltage triggering time as the starting point, and the average value of the network voltage effective values in the time period is taken as the network voltage parameter V2 after the triggering time.
4. The method for judging the overvoltage type of the motor train unit according to claim 3, wherein the step S3 specifically comprises: and judging the pantograph rising overvoltage, pantograph falling overvoltage, phase inlet split overvoltage, phase outlet split overvoltage, main breaker combining overvoltage, main breaker breaking overvoltage, high-frequency resonance overvoltage and ferromagnetic resonance overvoltage respectively according to the network flow parameter I1, the network flow parameter I2, the network voltage parameter V1 and the network voltage parameter V2.
5. The method for judging the overvoltage type of the motor train unit according to claim 4, wherein the judgment condition of the pantograph ascending overvoltage is as follows:
0≤V1<4
26≤V2<28
I1≤2
I2≤2
the judgment condition of the bow-reducing overvoltage is as follows:
26≤V1<28
0≤V2<4
I1≤2
I2≤2
the condition for judging the phase-splitting overvoltage is as follows:
26≤V1<28
4≤V2<15
I1≤2
I2≤2
the judgment condition of the phase-out overvoltage is as follows:
4≤V1<15
26≤V2<28
I1≤2
I2≤2
the judgment condition of the main circuit breaker overvoltage is as follows:
26≤V1<28
26≤V2<28
I1≤2
I2≤2
the judgment condition for breaking the overvoltage of the main breaker is as follows:
26≤V1<28
26≤V2<28
I1>2
I2≤2
the judgment condition of the high-frequency resonance overvoltage is as follows:
26≤V1<28
V2>28
I1>2
I2>2
the ferromagnetic resonance overvoltage judgment conditions are as follows:
26≤V1<28
15≤V2<26
I1≤2
I2≤2
wherein the units of V1 and V2 are both kV; the units of I1 and I2 are both A.
CN202211065482.XA 2022-09-01 2022-09-01 Method for judging overvoltage type of motor train unit Pending CN115526203A (en)

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* Cited by examiner, † Cited by third party
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CN118051753A (en) * 2024-04-16 2024-05-17 成都中车长客轨道车辆有限公司 Rail transit vehicle overvoltage type identification method and system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118051753A (en) * 2024-04-16 2024-05-17 成都中车长客轨道车辆有限公司 Rail transit vehicle overvoltage type identification method and system
CN118051753B (en) * 2024-04-16 2024-07-02 成都中车长客轨道车辆有限公司 Rail transit vehicle overvoltage type identification method and system

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