CN110729155A - Method for controlling closing phase through self-learning - Google Patents

Method for controlling closing phase through self-learning Download PDF

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Publication number
CN110729155A
CN110729155A CN201810781769.XA CN201810781769A CN110729155A CN 110729155 A CN110729155 A CN 110729155A CN 201810781769 A CN201810781769 A CN 201810781769A CN 110729155 A CN110729155 A CN 110729155A
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switching
value
closing
phase
target
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曹良
李萧
严会君
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Changzhou Power Supply Branch Jiangsu Electric Power Co Ltd
State Grid Corp of China SGCC
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Changzhou Power Supply Branch Jiangsu Electric Power Co Ltd
State Grid Corp of China SGCC
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    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01H—ELECTRIC SWITCHES; RELAYS; SELECTORS; EMERGENCY PROTECTIVE DEVICES
    • H01H71/00—Details of the protective switches or relays covered by groups H01H73/00 - H01H83/00
    • H01H71/10—Operating or release mechanisms
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/327—Testing of circuit interrupters, switches or circuit-breakers
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01H—ELECTRIC SWITCHES; RELAYS; SELECTORS; EMERGENCY PROTECTIVE DEVICES
    • H01H9/00—Details of switching devices, not covered by groups H01H1/00 - H01H7/00
    • H01H9/54—Circuit arrangements not adapted to a particular application of the switching device and for which no provision exists elsewhere
    • H01H9/56—Circuit arrangements not adapted to a particular application of the switching device and for which no provision exists elsewhere for ensuring operation of the switch at a predetermined point in the ac cycle
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01H—ELECTRIC SWITCHES; RELAYS; SELECTORS; EMERGENCY PROTECTIVE DEVICES
    • H01H9/00—Details of switching devices, not covered by groups H01H1/00 - H01H7/00
    • H01H9/54—Circuit arrangements not adapted to a particular application of the switching device and for which no provision exists elsewhere
    • H01H9/56—Circuit arrangements not adapted to a particular application of the switching device and for which no provision exists elsewhere for ensuring operation of the switch at a predetermined point in the ac cycle
    • H01H2009/566—Circuit arrangements not adapted to a particular application of the switching device and for which no provision exists elsewhere for ensuring operation of the switch at a predetermined point in the ac cycle with self learning, e.g. measured delay is used in later actuations

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  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Keying Circuit Devices (AREA)

Abstract

The invention provides a method for controlling a switching-on phase by adopting self-learning of a phase selection switching-on device, which is suitable for phase selection switching-on control of power equipment in an alternating current station and a direct current converter station and is characterized in that: the optimal target input phase is self-learned based on the combination of the mechanical action deviation of the circuit breaker and the RDDS function and the comparison and correction of action records; the method has strong self-learning capability of the switching characteristics, and can accumulate the switching characteristics and correct the switching characteristics in real time according to field operation. The intelligent correction is realized in the application, and the limitation that the optimal target phase is determined only by human factors or empirical values is avoided.

Description

Method for controlling closing phase through self-learning
Technical Field
The invention relates to a method for controlling a closing phase by a phase selection closing device, which is suitable for phase selection closing and opening control of power equipment in an alternating current station and a direct current converter station.
Background
The phase selection switching-on and switching-off technology (CS for short) is used as the most direct and effective solution for reducing the transient voltage and the inrush current of the action of the circuit breaker, and has intuitive control effect and obvious economic benefit.
Although the phase control technology is researched earlier in foreign countries, the biggest disadvantage is that one type of device can only be matched with a switch with a specific model, the adaptability is poor, and the requirements of various switch manufacturers in China on phase selection switching-on and switching-off products cannot be met. The reason is that foreign switches have sufficiently superior conditions to perform sufficient tests on circuit breakers to obtain credible data, and then the switches are provided with phase control devices and matched parameter setting values. The current situation that the phase selection device developed by a secondary manufacturer needs to be matched with different switch manufacturers is determined by the current situation that the phase selection device is separated once and twice in different domestic situations, and a large number of characteristic tests are not specially performed for the phase control function in China. Therefore, the on-site operation is fully utilized to accumulate the switching characteristics, an effective solution is provided for adapting to various switches, and the application of the phase selection switching-on and switching-off product with self-learning capability in the domestic market is finally a trend.
Currently, like products in this field, such as ABB (CAT series, Switchsync series), Siemens (PSD series), Areva (RPH2), Shenzhen intelligence (SID-3YL), etc. The product has the following disadvantages: 1. the optimal control target phase is only determined by human factors or empirical values and is not intelligent enough. 2. The self-learning and self-correcting switch is poor in adaptability only for a certain type of switch and does not have self-learning and self-correcting capabilities.
Description of related background of the invention:
in the specific implementation process, the pre-breakdown phenomenon at the closing moment of the circuit breaker must be considered. During the closing process of the circuit breaker, the insulation Strength of the fractures is reduced along with the reduction of the distance between the fractures, when the insulation Strength is lower than the system voltage value applied on the fractures, pre-breakdown occurs, the loop is electrically closed, and therefore the closing phase of the circuit breaker is also dependent on the reduction Rate of the insulation Strength between the fractures (RDDS). The relationship between the pre-breakdown voltage and the time is simplified into a straight line, and the absolute value of the slope is the insulation strength reduction rate RDDS, namely: kpEv. Wherein: kpIs the dielectric strength degradation rate RDDS; e is the average breakdown field intensity of the contact gap, and V is the closing speed. Numerous experiments confirmed that RDDS appeared normally distributed, and KpIs a polarity almost free from external voltageAnd (5) setting the sound value. Coefficient of closure
Figure BDA0001732777970000021
Wherein, ω is 2 pi f and is the angular frequency of the power grid, wherein f is the working frequency of the power grid; u shapemThe peak applied voltage. A primary equipment manufacturer can perform a closing test on the circuit breaker by loading a test voltage, record the pre-breakdown time and the breakdown voltage value of each time, and perform data fitting to obtain a breakdown voltage U-time t curve, namely an RDDS curve.
RDDS is known to exhibit a normal distribution through a number of experiments (ref: Naik B R, Asche R G, BillingsS, et al. field Verification of Controlled Switching GCB [ A].Power EngineeringSoeiety Summer Meeting[C]IEEE,2002(1):21-25.), a standard deviation of about 9.0%, KpThe constant value is hardly influenced by the polarity of the applied voltage and is provided by a primary switch manufacturer. The mechanical dispersion (3 sigma) is one of the technical indexes of the circuit breaker and is provided by a primary switch manufacturer.
Disclosure of Invention
The purpose of the invention is: in order to avoid the limitation that the optimal closing phase is determined by simple human factors, the method for controlling the closing phase by self-learning of the phase selection closing device is provided, and the optimal target input phase is determined by a self-learning result which is based on the combination of the mechanical action deviation of the circuit breaker and an RDDS function and is compared and corrected with an action record.
The technical scheme of the invention is as follows: the invention discloses a method for controlling a closing phase by self-learning, which is characterized by comprising the following steps: and obtaining an optimal input phase theoretical value based on the combination of the mechanical action deviation of the circuit breaker and the RDDS function, and intelligently comparing and correcting the optimal input phase theoretical value with an engineering value obtained by action record to perform self-learning so as to determine an optimal target input phase.
Further, the self-learning method comprises the following steps:
①, the phase selection closing device detects the sampling voltage immediately after receiving the closing command, the first sampling voltage zero crossing point is the reference zero crossing point, and the waiting time from the reference zero crossing point to the closing command sent by the phase selection closing device satisfies the following formula 1:
Tdelay＝T+Tpres-Tcloseformula 1
Wherein:
Tdelaythe variable is the waiting time between the reference zero crossing point and the switching-on command sent by the phase selection switching-on device;
Tclosethe average value of the mechanical closing time of the circuit breaker is provided by a primary manufacturer;
the size of T is more than Tclose-TpresAnd is the minimum integral multiple of 1/2 power frequency period, and the value is set according to the closing time of the breaker;
Tpressetting an initial pre-breakdown delay fixed value according to experience;
② obtaining the best switching phase theoretical value based on the combination of the mechanical action deviation of the circuit breaker and the RDDS function, carrying out N times of switching-on operation on the phase selection switching-on device, recording N times of switching-on parameters to obtain a target switching-on phase value, comparing the two values, and continuously correcting the reference zero crossing point until the waiting time variable T between the device and the switching-on command is sent outdelayFinally, T meeting the precision requirement is obtaineddelay。
Further, the working frequency of the power system is f, the sampling point per cycle of the device is SamplePoint, and the correction method comprises the following steps:
① sets a variable cs _ close _ cnt, the cs _ close _ cnt is set to 0 at the reference zero crossing point, the cs _ close _ cnt is increased by 1 for counting every time of interruption, the cs _ close _ cnt counting is terminated when the sampling current value of the phase switching-on device is greater than the current threshold value, the cs _ close _ cnt variable value at the electrical switching-on instant is obtained, the sampling point number of each cycle of the phase switching-on device is SamplePoint, the ratio of the cs _ close _ cnt and the SamplePoint/4, namely cs _ close _ cnt/(SamplePoint/4), is calculated and rounded, and the value of adding 1 is m after rounding;
② if m is even number, then the current switch-on is before the nearest zero-crossing point and calculates the distance TimeDistance from the zero-crossing point,
Figure BDA0001732777970000031
the TimeDistance is a negative value at this time; when m is an odd number, switching on the switch after the nearest zero-crossing point and calculating the distance TimeDistance from the zero-crossing point,
Figure BDA0001732777970000041
at this time, the TimeDistance is a positive value;
③ repeating ① - ②, after N times of closing operation, recording the TimeDistance values of N times, sorting the TimeDistance values from small to large according to the substitution value, respectively calculating the average value of the first N/2 value and the last N/2 value, and respectively taking the average values as the upper and lower bounds to obtain an interval [ t ] of the actual closing phase1，t2]Then t is1、t2The mean values of the upper boundary and the lower boundary at the moment of electrical breakdown in actual switching-on operation are respectively, wherein the negative sign of the mean value of the boundary indicates that a switching-on point is before a zero crossing point, and the positive sign indicates that the switching-on point is after the zero crossing point;
④ interval [ t1，t2]Intermediate value of (1)
Figure BDA0001732777970000042
For the target phase of the actual electrical closing
Figure BDA0001732777970000043
Substituting into the calculation formula of the applied voltage outside the switch fracture, in formula 2:
Figure BDA0001732777970000048
wherein:
ω is 2 pi f is the angular frequency of the power grid, wherein f is the working frequency of the power grid;
Umthe peak applied voltage.
Order to
Figure BDA0001732777970000044
Can obtain the product
Figure BDA0001732777970000045
Will be provided with
Figure BDA0001732777970000046
Substituting into the closing characteristic curve shown in formula 3:
Up(t)＝-KRDDSωUmt + b formula 3
Wherein:
Figure BDA0001732777970000047
is a correlation coefficient, wherein: e is the average breakdown field strength of the contact gap, V is the closing speed, UmIs the peak value of the applied voltage, and omega is the angular frequency of the power grid;
b is a constant;
obtaining:
Figure BDA0001732777970000051
substituting formula 4 into formula 3, and ordering Up(T) ═ 0, and the actual mechanical target closing phase T 'is obtained'target：
Figure BDA0001732777970000052
⑤ is prepared from Tl'targetAnd the optimal mechanical closing theoretical value
Figure BDA0001732777970000053
Performing an alignment, wherein: omega is the angular frequency of the power grid, and gamma is the required instantaneous breakdown voltage of the switch-on; kRDDSIs the correlation coefficient; substitution of | Ttarget-T′target|≤TrequireIs calculated in which T isrequireThe required switching-on precision threshold value is obtained, and if the required switching-on precision threshold value is met, the operation is finished; otherwise, toCorrecting the waiting time variable T in step (1) for the step sizedelay(ii) a Correction direction according to Ttarget-T′targetSign of variable is determined if Ttarget-T′targetIf more than 0, the waiting time variable T is increased by adopting positive correctiondelayOtherwise, adopting the reverse direction correction.
⑥ correcting for TdelayThen returns to step ② for sequential execution until | T is satisfiedtarget-T′target|≤TrequreT obtained at this timedelayAnd (4) obtaining a waiting time variable between the obtained reference zero crossing point and the switching-on command sent by the device.
Further: the number of N times of closing is 30-40 times, and T isrequireAnd the required switching-on precision threshold is properly selected according to actual requirements.
The invention has the positive effects that: the method of the invention avoids the limitation that the optimal closed phase is determined by simple human factors, and enhances the scientificity and rationality of the optimal closed phase; the limitation that a specific product is only matched with a specific breaker is made up, and the practicability and universality of the product are enhanced.
Drawings
FIG. 1 is a conceptual diagram of a target closing phase;
FIG. 2 is a schematic diagram of the relationship between the RDDS of the circuit breaker and the target closing phase;
FIG. 3 is a schematic diagram of a closing control variable;
fig. 4 is a diagram illustrating the difference between the actual optimal projected phase and the theoretical optimal value.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
(example 1)
At practical system voltages, with a reduction in the fracture spacing and a reduction in the fracture dielectric strength, pre-breakdown occurs when the dielectric strength is lower than the system voltage applied to the port. The optimum target closing phase can be directly obtained at the minimum point or the maximum point of the closing voltage through an actual voltage closing test, but the actual situation is difficult to carry out a plurality of tests. Therefore, a new method is provided for obtaining the optimal target closing phase based on the combination of the mechanical action deviation of the circuit breaker and the RDDS (Rate of leakage of dielectric Strength reduction) functional relation and the intelligent comparison and correction with the action record. When the action deviation and the RDDS of the circuit breaker are known, the theoretical optimal target closing phase can be calculated according to the function curve:
assuming that the switch is applied with voltage outside the fracture:
Figure BDA0001732777970000063
where ω ═ 2 π f is the grid angular frequency, where f is the grid operating frequency. U shapemThe peak applied voltage.
The maximum slope of the voltage waveform at voltage zero is then:
Figure BDA0001732777970000061
assuming that the contact displacement after pre-breakdown is S (t), and the average breakdown field intensity E of the contact gap is regarded as a constant, the breakdown voltage Up(t) E s (t), the derivative of the breakdown voltage with respect to time is:
Figure BDA0001732777970000062
therefore, the relation between the pre-breakdown voltage and the time is simplified into a straight line, and the absolute value of the slope is the insulation strength reduction rate RDDS, namely:
Kpev formula 3
Wherein: kpIs the dielectric strength degradation rate RDDS; e is the average breakdown field intensity of the contact gap, and V is the closing speed.
Defined by formula 1 and formula 2
Figure BDA0001732777970000071
KRDDSNamely the closing coefficient. When K isRDDSWhen the switching-on characteristic is 1, the switching-off characteristic is just parallel to the tangent of the zero point of the applied voltage, and the switches in the current stage usually meet KRDDSThe voltage zero-crossing point of the breaker can be closed or opened according to the graph 1.
As shown in FIG. 1, in order to make D1、F1At equal voltages and set B1The point is the target closing time, so that the breakdown voltage can be as small as possible within a certain closing time offset range. Circuit breaker at D1、F1Pre-breakdown occurs (moving and static contacts are at A)1、C1Mechanically closed) at this timeThe maximum pre-breakdown voltage of (d) is: u shapepmax＝UmSin (3 ω σ). Setting the required maximum value of the pre-breakdown voltage to be gamma Um(0 < gamma < 1), then gamma U must be satisfiedm≤UmSin (3 ω σ), i.e. the required mechanical dispersion characteristic of the circuit breaker at the pre-breakdown voltage, should satisfy:
Figure BDA0001732777970000072
wherein:
sigma is standard deviation of the dispersion of the closing time, and gamma is the required closing instantaneous breakdown voltage accounting for UmPercentage of (c).
Therefore, the maximum pre-breakdown voltage is increased along with the increase of the mechanical dispersity of the circuit breaker, whether the synchronous switching-on requirement can be met within the required pre-breakdown voltage range can be judged through the mechanical dispersion of the circuit breaker, and the maximum breakdown voltage accounts for U at the moment of switching-on under the condition that a specific sigma value is obtained according to the known sigma valuemIs a percentage ofm：
γmSin (3 ω σ) formula 5
By closing characteristic Up(t)＝-Kpt+γmUm＝-KRDDSωUmt+γmUmCorresponds to line E of FIG. 11B1Let UpWhen t is 0, the theoretical value of the mechanical optimum target closed phase is:
Figure BDA0001732777970000073
wherein:
and omega is the angular frequency of the power grid.
KRDDSIs the ratio of the maximum slope of the waveform at the zero crossing of the RDDS and the voltage, i.e.
Figure BDA0001732777970000081
UmIs the peak value of the applied voltage,
as shown in fig. 2, when minimizing the off-voltage is taken as a target,from the relationship between the motion deviation and the target closing phase, the target closing phase is closer to the voltage zero point as the closing coefficient in the RDDS closing characteristic increases and the motion deviation decreases. As shown in the formula 6, the method can be used for solving the problems that the mechanical dispersity parameter of the circuit breaker is 3 sigma and the closing coefficient K is poorRDDSAnd obtaining the optimal mechanical target closing phase, and theoretically ensuring the accuracy of the controlled closing target.
It should be noted that in practical applications, the pre-breakdown phenomenon is unavoidable, and the transient breakdown voltage caused by the discreteness of the specific closing time of the limiting mechanism is an instant breakdown voltage, so that the optimal closing time of the mechanism lags behind the voltage zero crossing point. As shown in FIG. 1, E1B1The pre-breakdown happens right at the crossing point of the voltage waveform to complete the electrical closing, namely the electrical closing phase is slightly earlier than the mechanical closing phase.
The working frequency of the power system is f, the sampling point number of each cycle of the device is SamplePoint, and the conversion relation between the sampling point number N and the time interval T of the sampling point number is as follows:
Figure BDA0001732777970000082
the time variable symbols in the following are the number of sampling points after time conversion.
The method comprises the following steps of firstly, obtaining the self-learning realization of the optimal target closing phase by combining the mechanical action deviation of the circuit breaker with an RDDS function and comparing the optimal target closing phase with an action record for correction:
(1) as shown in fig. 3, when the phase switching device receives a switching command, a sampling voltage is detected, a first voltage zero crossing point is defined as a reference zero crossing point, and a waiting time between the reference zero crossing point and the switching command sent by the device satisfies equation 7:
Tdelay＝T+Tpres-Tcloseformula 7
Wherein:
Tdelayis the variable of the waiting time from the reference zero crossing point to the time when the device sends the closing command.
TcloseThe time average value of mechanical closing of the circuit breaker is provided by a primary manufacturer.
The size of T is more than Tclose-TpresAnd is the minimum integral multiple of 1/2 power frequency period, and the value is set according to the closing time of the breaker.
TpresThe initial pre-breakdown delay fixed value is set according to experience.
(2) Setting a variable cs _ close _ cnt, enabling cs _ close _ cnt to be 0 at a reference zero-crossing point, incrementing cs _ close _ cnt by 1 for each interruption, terminating the count of cs _ close _ cnt when a sampling current value of a phase switching device is greater than a current threshold (the current threshold is set according to the principle that the current threshold reliably avoids a zero drift value and is as small as possible), obtaining a cs _ close _ cnt variable value at the moment of electric switching, calculating the ratio of the cs _ close _ cnt to SamplePoint/4 (namely cs _ close _ cnt/(SamplePoint/4)) and rounding, and defining the value added with 1 after rounding as an m value.
(3) If m is an even number, judging that the current switch-on is before the nearest zero-crossing point and calculating the distance from the zero-crossing point (here, the distance refers to the result calculated according to the number of sampling intervals), wherein the distance is defined as the time distance,the TimeDistance is a negative value at this time; when m is an odd number, judging that the switch-on is positioned after the nearest zero-crossing point and calculating the distance TimeDistance from the zero-crossing point,
Figure BDA0001732777970000091
the TimeDistance is now positive.
(4) Repeating the steps (2) - (3), recording the time distance value for 30 times after the latest 30 times of switching-on operation, storing the time distance value into an array for describing the switching-on precision, sequencing the time distance value from small to large according to the numerical value, respectively calculating the average value of the first 15 values and the second 15 values, and respectively taking the average value as an upper boundary and a lower boundary so as to obtain an 'interval' of the actual switching-on phase position [ t1，t2]Then t is1、t2The numerical values with positive signs and negative signs are the average values of the upper boundary and the lower boundary at the moment of electrical breakdown in the actual closing operation respectively, the negative signs represent that the closing point is before the zero crossing point, and the positive signs represent that the closing point is after the zero crossing point.
(5) The middle value of the "interval
Figure BDA0001732777970000092
Describing the target phase of the actual electrical closing, as shown in FIG. 4
Figure BDA0001732777970000101
Substituted into formula 1, orderCan obtain the product
Figure BDA0001732777970000102
Will be provided with
Figure BDA0001732777970000103
Substituting into the closing characteristic curve as shown in equation 8:
Up(t)＝-KRDDSωUmt + b formula 8
Obtaining:
Figure BDA0001732777970000104
substituting formula 9 into formula 8 and making Up(T) ═ 0, and the actual mechanical target closing phase T 'is obtained'target：
Figure BDA0001732777970000105
(6) Prepared from T'targetAnd the optimal mechanical closing theoretical value
Figure BDA0001732777970000106
Performing an alignment, wherein: omega is the angular frequency of the power grid, and gamma is the required instantaneous breakdown voltage of the switch-on; kRDDSIs the correlation coefficient; substitution of | Ttarget-T′target|≤TrequireIs calculated in which T isrequireThe required switching-on precision threshold value is obtained, and if the required switching-on precision threshold value is met, the operation is finished; otherwise, to
Figure BDA0001732777970000107
Correcting the latency variable T for step sizedelay(TdelayA waiting time variable from a voltage zero crossing point to a time when the isolated phase closing command is sent). Correction direction according to Ttarget-T′targetSign of variable is determined if Ttarget-T′targetIf > 0, take positive correction (i.e. increase the waiting time variable T)delay) Otherwise, adopting the reverse direction correction.
(7) Correction of TdelayThen returning to (2) to execute in sequence until | Ttarget-T′target|≤TrequreT obtained at this timedelayTdelayAnd (4) obtaining a waiting time variable between the obtained reference zero crossing point and the switching-on command sent by the device.
Therefore, comparison and correction of an ideal optimal closing target and an actual value are realized, and electric closing is expected to be realized at the optimal target closing phase.
The above embodiments are illustrative of specific embodiments of the present invention, and are not restrictive of the present invention, and those skilled in the relevant art can make various changes and modifications without departing from the spirit and scope of the present invention to obtain corresponding equivalent technical solutions, and therefore all equivalent technical solutions should be included in the scope of the present invention.

Claims (4)

1. A method for controlling a closing phase by self learning is characterized in that: and obtaining an optimal input phase theoretical value based on the combination of the mechanical action deviation of the circuit breaker and the RDDS function, and intelligently comparing and correcting the optimal input phase theoretical value with an engineering value obtained by action record to perform self-learning so as to determine an optimal target input phase.
2. The method for self-learning control of a closing phase according to claim 1, wherein the self-learning method is as follows:
①, the phase selection closing device detects the sampling voltage immediately after receiving the closing command, the first sampling voltage zero crossing point is the reference zero crossing point, and the waiting time from the reference zero crossing point to the closing command sent by the phase selection closing device satisfies the formula (1):
Tdelay＝T+Tpres-Tclose(1)
wherein:
Tdelaythe variable is the waiting time between the reference zero crossing point and the switching-on command sent by the phase selection switching-on device;
Tclosethe average value of the mechanical closing time of the circuit breaker is provided by a primary manufacturer;
the size of T is more than Tclose-TpresAnd is the minimum integral multiple of 1/2 power frequency period, and the value is set according to the closing time of the breaker;
Tpressetting an initial pre-breakdown delay fixed value according to experience;
② obtaining the best switching phase theoretical value based on the combination of the mechanical action deviation of the circuit breaker and the RDDS function, carrying out N times of switching-on operation on the phase selection switching-on device, recording N times of switching-on parameters to obtain a target switching-on phase value, comparing the two values, and continuously correcting the reference zero crossing point until the waiting time variable T between the device and the switching-on command is sent outdelayFinally, T meeting the precision requirement is obtaineddelay。
3. The self-learning method for controlling a closing phase as claimed in claim 2, wherein: the working frequency of the power system is f, the sampling point number of each cycle of the device is SamplePoint, and the correction method comprises the following steps:
① sets a variable cs _ close _ cnt, the cs _ close _ cnt is set to 0 at the reference zero crossing point, the cs _ close _ cnt is increased by 1 for counting every time of interruption, the cs _ close _ cnt counting is terminated when the sampling current value of the phase switching-on device is greater than the current threshold value, the cs _ close _ cnt variable value at the electrical switching-on instant is obtained, the sampling point number of each cycle of the phase switching-on device is SamplePoint, the ratio of the cs _ close _ cnt and the SamplePoint/4, namely cs _ close _ cnt/(SamplePoint/4), is calculated and rounded, and the value of adding 1 is m after rounding;
② if m is even number, then the current switch-on is before the nearest zero-crossing point and calculates the distance TimeDistance from the zero-crossing point,
Figure FDA0001732777960000021
the TimeDistance is nowA negative value; when m is an odd number, switching on the switch after the nearest zero-crossing point and calculating the distance TimeDistance from the zero-crossing point,
Figure FDA0001732777960000022
at this time, the TimeDistance is a positive value;
③ repeating ① - ②, after N times of closing operation, recording the TimeDistance values of N times, sorting the TimeDistance values from small to large according to the substitution value, respectively calculating the average value of the first N/2 value and the last N/2 value, and respectively taking the average values as the upper and lower bounds to obtain an interval [ t ] of the actual closing phase1，t2]Then t is1、t2The mean values of the upper boundary and the lower boundary at the moment of electrical breakdown in actual switching-on operation are respectively, wherein the negative sign of the mean value of the boundary indicates that a switching-on point is before a zero crossing point, and the positive sign indicates that the switching-on point is after the zero crossing point;
④ interval [ t1，t2]Intermediate value of (1)For the target phase of the actual electrical closing
Figure FDA0001732777960000024
Substituting into the calculation formula (2) of the applied voltage outside the switch fracture:
Figure FDA0001732777960000025
wherein:
ω is 2 pi f is the angular frequency of the power grid, wherein f is the working frequency of the power grid;
Umthe peak applied voltage.
Order to
Figure FDA0001732777960000031
Can obtain the product
Figure FDA0001732777960000032
Will be provided with
Figure FDA0001732777960000033
Substituting into the correlation characteristic curve shown in formula (3):
Up(t)＝-KRDDSωUmt+b (3)
wherein:
Figure FDA0001732777960000034
is a correlation coefficient, wherein: e is the average breakdown field strength of the contact gap, V is the closing speed, UmIs the peak value of the applied voltage, and omega is the angular frequency of the power grid;
b is a constant;
obtaining:
Figure FDA0001732777960000035
substituting formula (4) into formula (3) and making Up(T) ═ 0, and the actual mechanical target closing phase T 'is obtained'target：
Figure FDA0001732777960000036
⑤ is prepared from Tl'targetAnd the optimal mechanical closing theoretical valuePerforming an alignment, wherein: omega is the angular frequency of the power grid, and gamma is the required instantaneous breakdown voltage of the switch-on; kRDDSIs the correlation coefficient; substitution of | Ttarget-T′target|≤TrequireIs calculated in which T isrequireThe required switching-on precision threshold value is obtained, and if the required switching-on precision threshold value is met, the operation is finished; otherwise, to
Figure FDA0001732777960000038
Correcting the waiting time variable T in step (1) for the step sizedelay(ii) a Correction direction according to Ttarget-T′targetSign of variable is determined if Ttarget-T′targetIf more than 0, the waiting time variable T is increased by adopting positive correctiondelayOtherwise, adopting the reverse direction correction.
⑥ correcting for TdelayThen returns to step ② for sequential execution until | T is satisfiedtarget-T′target|≤TrequreT obtained at this timedelayAnd (4) obtaining a waiting time variable between the obtained reference zero crossing point and the switching-on command sent by the device.
4. The self-learning method for controlling a closing phase as claimed in claim 2, wherein: the number of N times of closing is 30-40, and T timerequireAnd the required switching-on precision threshold is properly selected according to actual requirements.
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CN111413910A (en) * 2020-04-15 2020-07-14 中国铁道科学研究院集团有限公司 Breaker opening and closing control method, device and system
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