Modular circuit breaker self-adaptive breaking method and system based on opening phase

Abstract

The invention relates to the technical field of circuit breaker opening adjustment, and discloses a modular circuit breaker self-adaptive breaking method and system based on an opening phase. The method comprises the following steps: acquiring real-time opening phase data of the modular circuit breaker; obtaining a simulation result of simulation operation of the vacuum arc physical model based on simulation software; and adjusting the opening speed based on the real-time opening phase data and a preset breaking strategy according to the simulation result. According to the method, the opening speed can be adaptively adjusted according to the change of the actual working condition of the modular circuit breaker, the breaking reliability of the circuit breaker is improved, and the performance of the circuit breaker is optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of circuit breaker opening adjustment, and in particular to a modular circuit breaker adaptive opening method and system based on opening phase. Background Art

[0002] As the scale of modern power systems continues to expand, the complexity and operation requirements of power grids are also increasing. During the operation of power systems, the rapid and reliable removal of faults is crucial to ensure the safe and stable operation of power grids. As a key protection device in power systems, the breaking performance of modular circuit breakers directly affects the effect of fault handling.

[0003] Traditional circuit breaker opening operations often use fixed parameter settings, such as the opening speed of modular circuit breakers is fixed. It cannot be adaptively adjusted according to changes in actual working conditions, which may lead to poor opening performance when opening at different phases. Summary of the invention

[0004] In view of the fixed setting of the circuit breaker opening speed in the prior art, the present invention provides a modular circuit breaker adaptive opening method and system based on the opening phase, which can adaptively adjust the opening speed according to the changes in the actual working conditions of the modular circuit breaker, improve the circuit breaker opening reliability, and optimize the performance of the circuit breaker. The specific technical solution is as follows:

[0005] A modular circuit breaker adaptive breaking method based on opening phase, comprising:

[0006] Obtain real-time opening phase data of modular circuit breakers;

[0007] Obtain simulation results of the vacuum arc physical model based on simulation software;

[0008] According to the simulation results, the opening speed is adjusted based on the real-time opening phase data and the preset breaking strategy.

[0009] Preferably, the obtaining of simulation results of the vacuum arc physical model based on simulation software includes:

[0010] According to the preset vacuum arc calculation area, a vacuum arc physical model is established;

[0011] According to the selected simulation software, set the corresponding simulation parameters and boundary conditions;

[0012] Meshing the physical model according to preset control parameters;

[0013] According to the simulation parameters and boundary conditions, the meshed physical model is run using simulation software to extract the simulation results.

[0014] Preferably, the simulation results include:

[0015] The relationship between the opening phase and the arcing time and the anode plasma density when the current passes through zero is obtained. When the opening phase is less than the phase value, the opening speed is increased, the arcing time is reduced, and the anode energy flux density is reduced when the current passes through zero.

[0016] Preferably, adjusting the opening speed based on the simulation results, the real-time opening phase data and the preset breaking strategy comprises:

[0017] When the opening phase is within the preset phase threshold, the preset opening speed is opened;

[0018] When the opening phase is not within the preset phase threshold, the opening speed is adjusted according to the preset opening speed adjustment logic.

[0019] Preferably, the preset opening speed adjustment logic adjusts the opening speed including:

[0020] Obtain the power parameters of the circuit where the circuit breaker is located, and calculate the current phase deviation and charging progress;

[0021] The calculated current phase deviation and charging progress are fuzzy processed to obtain the membership values ​​corresponding to the current phase deviation and the charging progress;

[0022] Determine whether the membership values ​​corresponding to the current phase deviation and the charging progress exceed the preset upper and lower limit thresholds. If so, set the over-limit variables to new upper and lower limit thresholds and execute the next step. If not, execute the next step directly.

[0023] An output quantity is obtained by fuzzy table lookup, and the output quantity is defuzzified to obtain the driving frequency;

[0024] It is determined whether the driving frequency exceeds the preset frequency upper limit threshold. If it exceeds, the driving frequency is set to a new frequency upper limit threshold. If it does not exceed, the driving frequency is directly output.

[0025] Preferably, the step of obtaining real-time opening phase data of the modular circuit breaker includes:

[0026] Obtain real-time voltage data of modular circuit breakers at the inlet and outlet positions;

[0027] A voltage dynamic signal model in Taylor series form is established based on voltage data;

[0028] The voltage dynamic signal model in Taylor series form is discretized by a preset sampling frequency to obtain a discrete sequence of voltage signals;

[0029] According to the preset window function, an equation relationship is constructed for discrete values ​​of the voltage signal corresponding to different sampling moments within the window;

[0030] The least squares method is used to solve the equation relationship to obtain the phasor measurement value, and the real-time opening phase is calculated based on the phasor measurement value.

[0031] Preferably, establishing a voltage dynamic signal model in Taylor series form according to voltage data includes:

[0032] The voltage signal of the voltage data is modulated by the low-frequency band-limited signal and the rotating phasor to obtain the fundamental component of each phase voltage signal under dynamic conditions; the voltage signal phasor X(t) and the voltage signal x(t) are respectively:

[0033]

[0034] Where: f0 is the fundamental frequency; b(t) is the low-frequency band-limited signal. Under dynamic conditions, b(t) is a time-varying variable. is the rotating phasor;

[0035] Introducing Taylor series into dynamic signal modeling, b(t) is expressed as follows:

[0036]

[0037] Where: b( k ) is the value of the derivative at the reference time; K is the highest order of the dynamic signal expanded by Taylor series;

[0038] Substitute the order derivative value b(t) into the voltage signal phasor X(t), and then use the Euler formula to obtain the voltage dynamic signal model in the form of Taylor series, which is expressed as follows:

[0039]

[0040] Where: t represents time; j represents the complex form of the signal.

[0041] Preferably, the discretization processing of the voltage dynamic signal model in Taylor series form by a preset sampling frequency to obtain a discrete sequence of voltage signals includes:

[0042] The voltage dynamic signal model in the form of Taylor series is discretized with the sampling frequency to obtain a discrete sequence of the voltage signal. The specific calculation formula is as follows:

[0043]

[0044] Where: n = t·f S , n represents the index of the discrete sequence, f S is the sampling frequency, f s=Nf0, N is the number of sampling points in one fundamental wave cycle; β (k) is the expansion coefficient; ω0=2πf0 / f S , ω0 represents the sampling angular frequency.

[0045] A modular circuit breaker adaptive breaking system based on opening phase, applied to the aforementioned modular circuit breaker adaptive breaking method based on opening phase, comprising:

[0046] A phase acquisition unit, used to acquire real-time opening phase data of the modular circuit breaker;

[0047] A simulation result acquisition unit, used for acquiring simulation results of a vacuum arc physical model based on simulation software;

[0048] The opening speed adjustment unit is used to adjust the opening speed according to the simulation results, based on the real-time opening phase data and the preset breaking policy.

[0049] Compared with the prior art, the present invention has the following beneficial effects:

[0050] The modular circuit breaker adaptive breaking method based on the breaking phase of the present invention obtains the real-time breaking phase data of the modular circuit breaker; obtains the simulation result of the simulation operation of the vacuum arc physical model based on the simulation software; and adjusts the breaking speed based on the real-time breaking phase data and the preset breaking strategy according to the simulation result. The method of the present invention can adaptively adjust the breaking speed according to the change of the actual working conditions of the modular circuit breaker, improve the breaking reliability of the circuit breaker, and optimize the performance of the circuit breaker. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the specific embodiments or the description of the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn according to the actual scale.

[0052] Figure 1 The present invention is a flow chart of a modular circuit breaker adaptive breaking method based on the opening phase.

[0053] Figure 2 It is a schematic diagram of the vacuum arc physical model of the present invention.

[0054] Figure 3 It is a schematic diagram of anode plasma density at the moment when current passes through zero under the simulation result of the present invention.

[0055] Figure 4It is a schematic diagram of the energy flow density on the anode surface at the moment when the current passes through zero under different opening phase conditions under the simulation results of the present invention.

[0056] Figure 5 It is a flow chart of the preset opening speed adjustment logic of the present invention.

[0057] Figure 6 The present invention is a schematic diagram of a modular circuit breaker adaptive breaking principle based on the opening phase of the system. DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0059] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0060] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0061] It should be further understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0062] See the following examples Figures 1 to 6 .

[0063] The embodiment of the present application provides a modular circuit breaker adaptive breaking method based on the opening phase, including:

[0064] Step S1, obtaining real-time opening phase data of the modular circuit breaker; specifically comprising:

[0065] Obtain real-time voltage data of modular circuit breakers at the inlet and outlet positions;

[0066] A voltage dynamic signal model in Taylor series form is established based on voltage data;

[0067] The voltage signal of the voltage data is modulated by the low-frequency band-limited signal and the rotating phasor to obtain the fundamental component of each phase voltage signal under dynamic conditions; the voltage signal phasor X(t) and the voltage signal x(t) are respectively:

[0068]

[0069] Where: f0 is the fundamental frequency; b(t) is the low-frequency band-limited signal. Under dynamic conditions, b(t) is a time-varying variable. is the rotating phasor;

[0070] Introducing Taylor series into dynamic signal modeling, b(t) is expressed as follows:

[0071]

[0072] Where: b( k ) is the value of the derivative at the reference time; K is the highest order of the dynamic signal expanded by Taylor series;

[0073] Substitute the order derivative value b(t) into the voltage signal phasor X(t), and then use the Euler formula to obtain the voltage dynamic signal model in the form of Taylor series, which is expressed as follows:

[0074]

[0075] Where: t represents time; j represents the complex form of the signal.

[0076] The voltage dynamic signal model in Taylor series form is discretized by a preset sampling frequency to obtain a discrete sequence of voltage signals;

[0077] The voltage dynamic signal model in the form of Taylor series is discretized with the sampling frequency to obtain a discrete sequence of the voltage signal. The specific calculation formula is as follows:

[0078]

[0079] Where: n = t·f S , n represents the index of the discrete sequence, f S is the sampling frequency, f s =Nf0, N is the number of sampling points in one fundamental wave cycle; β (k) is the expansion coefficient; ω0=2πf0 / f S , ω0 represents the sampling angular frequency.

[0080] Simplifying the above expression of the discrete sequence of voltage signal, we get the following formula:

[0081]

[0082] Where:

[0083] B=[β (0) ,β (1) ,…,β (k) ,…,β (K) ] T

[0084]

[0085] Among them, T is used to indicate that vector B is a column vector, that is, these elements are arranged in columns. The elements of vector B include β (0) ,β (1) ,…,β (k) ,…,β (X) , k is the length of the vector; C represents the element The matrix related to the element The relevant matrix.

[0086] According to the preset window function, an equation relationship is constructed for discrete values ​​of the voltage signal corresponding to different sampling moments within the window;

[0087] Let h(n) be a window function with a length of M=2N, indicating that there are 2N sampling points in a window, and M≥2(K+1). Since B contains K+1 unknowns, each of which contains a real part and an imaginary part, at least 2(K+1) independent equations need to be combined to solve. Multiple equations are established by using different sampling points of a data window. At the same time, in order to improve the accuracy of this method, a window coefficient matrix H (a diagonal matrix) is multiplied on both sides of the discrete sequence expression of the simplified voltage signal, and the following is obtained:

[0088] HX=HCB+HDB *

[0089] Where:

[0090] X=[x(-N),…,x(-n),…,x(0),…x(N-1)] T

[0091]

[0092]

[0093] In the above formula: N represents the number of sampling points of the fundamental period; X is the vector containing the sampling points of the signal x(n);

[0094] In order to facilitate the representation and calculation of the signal processor, HX = HCB + HDB * Separate the real and imaginary parts and get the following formula:

[0095]

[0096] Where:

[0097]

[0098] The least squares method is used to solve the equation relationship to obtain the phasor measurement value, and the real-time opening phase is calculated based on the phasor measurement value.

[0099] After determining the data window, the E matrix can be calculated offline. According to the matrix calculation rules, when the matrix satisfies, it can be solved by LSM. The calculation formula is:

[0100]

[0101] Step S2, obtaining simulation results of the vacuum arc physical model based on simulation software; specifically including:

[0102] According to the preset vacuum arc calculation area, a vacuum arc physical model is established;

[0103] The vacuum arc physical model is established. The empty arc is mainly composed of three parts: cathode spot area, arc column area and anode sheath area. The calculation area of ​​the model in this embodiment is the arc column area, and the cathode spot area and anode sheath area are only used as the boundaries of the simulation. The vacuum arc physical model is as follows Figure 2 shown.

[0104] According to the selected simulation software, set the corresponding simulation parameters and boundary conditions;

[0105] In this embodiment, COMSOL simulation software is selected, and the initial values ​​and boundary conditions of COMSOL simulation software are set. The flow direction, Mach number and stagnation parameter of the fluid are given at the cathode boundary. It is assumed that the anode is in an inactive state and no charged particles and metal vapor are ejected into the inter-electrode plasma zone. The anode surface is considered to be an equipotential surface. In the fluid module of the solution domain, the side is treated as a wall and set to a no-slip boundary; in the heat transfer module, the side is set to an adiabatic condition; the boundary condition of the magnetic transmission equation on the side is the toroidal magnetic field at the edge of the cathode;

[0106] Meshing the physical model according to preset control parameters;

[0107] The constructed model is meshed, and the mesh type is free triangle. Since complex flow and heat transfer calculations are performed in the solution domain, the unit size is set to ultra-fine; the area near the cathode is the main area for arc development, and in order to improve the calculation accuracy, the maximum mesh size of the cathode boundary is set to 0.1mm; the side boundary of the fluid domain is treated in layer mode, with the boundary layer set to 5 and the stretch factor set to 1.5;

[0108] According to the simulation parameters and boundary conditions, the meshed physical model is run using simulation software to extract the simulation results.

[0109] The arcing process of the vacuum arc under different opening phases is simulated by COMSOL simulation software. The alternating current with a current peak of 10kA is selected as the breaking current, the current frequency is 50Hz, and the contact radius is 25mm. As the opening process proceeds, the current changes continuously, and the opening speed is 1m / s. In this embodiment, three opening phases are selected for simulation, which are The arcing time is 8ms, 5ms and 3ms respectively, and the breaking time is synchronized with the current zero crossing point.

[0110] By specifying boundary conditions, initializing fluid equations and electron energy equations, solving plasma mass, momentum, and energy equations, obtaining density, velocity, temperature and other distributions, saving calculation results, initializing the toroidal magnetic field equation with calculation results, updating boundary conditions and intermediate coefficients, and starting iterative calculations. After the calculation converges, using the steady-state results as initial values, modifying the equations to transient form and continuing to settle, we finally get a converged solution.

[0111] The simulation results include the connection between the opening phase and the arcing time, and the anode plasma density when the current passes through zero. When the opening phase is less than the phase value, the opening speed is increased, the arcing time is reduced, and the anode energy flow density is reduced when the current passes through zero.

[0112] Simulation process description: When the current passes through zero, the anode plasma density is as follows: Figure 3 As shown in the figure, at the same opening speed, the smaller the opening phase angle, the longer the arc burning time, and the greater the anode plasma density when the current passes through zero. After the vacuum arc current flows, whether the arc can be successfully extinguished is affected by many factors, including the anode energy flux density at the moment when the current passes through zero. In fact, the anode surface energy flux density at the moment when the current passes through zero is the sum of the kinetic energy, thermal energy and ionization energy at this moment. The lower the anode energy flux density when the current passes through zero, the more conducive it is to successfully extinguish the arc. Figure 4 The figure shows the energy flux density on the anode surface at the time when the current passes through zero under different opening phase conditions. Under the same opening speed, the larger the opening phase angle, the smaller the anode plasma density when the current passes through zero, the smaller the anode energy flux density, and the greater the possibility of successful disconnection. When the current passes through zero, the anode energy flow density is reduced, which is conducive to successful breaking.

[0113] Step S3: adjusting the opening speed based on the simulation results, the real-time opening phase data and the preset breaking strategy, specifically including:

[0114] When the opening phase is within the preset phase threshold, the preset opening speed is opened;

[0115] Under the ideal opening phase, operating according to the preset opening speed can ensure the predictability and stability of the circuit breaker action. Because the probability of adverse phenomena such as operating overvoltage and arc reignition is low when opening under these phases, there is no need to make additional adjustments to the opening speed. This preset fixed opening speed simplifies the control logic, reduces unnecessary calculations and adjustments, and improves the efficiency of the opening operation.

[0116] When the opening phase is not within the preset phase threshold, the opening speed is adjusted according to the preset opening speed adjustment logic, including:

[0117] Obtain the power parameters of the circuit where the circuit breaker is located, and calculate the current phase deviation and charging progress;

[0118] Collect power parameters from the circuit where the circuit breaker is located, such as instantaneous values ​​of voltage and current. Based on the collected data, calculate the current phase deviation (for example, compare the actual current phase with the ideal current phase to obtain the deviation value) and charging progress (which may be related to the capacitor charging process, such as calculating the charging ratio of the capacitor, etc.) through a certain algorithm.

[0119] The current phase deviation and charging progress can reflect the current operating state of the circuit and are important bases for determining whether the opening speed needs to be adjusted. For example, under certain current phases and charging conditions, fast opening may cause a large operating overvoltage, so it is necessary to accurately obtain these parameters for reasonable regulation.

[0120] The calculated current phase deviation and charging progress are fuzzy processed to obtain the membership values ​​corresponding to the current phase deviation and the charging progress;

[0121] Using fuzzy logic theory, the current phase deviation value and charging progress value are converted into membership values ​​in fuzzy sets. For example, the fuzzy sets of current phase deviation are defined as "positive deviation is large", "positive deviation is small", "no deviation", "negative deviation is small", "negative deviation is large", etc., and its membership in each fuzzy set is determined according to the deviation value.

[0122] Since there are a lot of uncertainties and nonlinear relationships in the power system, fuzzy processing can better handle these complex situations. By converting the exact value into a membership value, fuzzy rules can be used to comprehensively consider the impact of multiple factors on the tripping speed, avoiding the problem of being too complex or inaccurate when using an exact mathematical model.

[0123] Determine whether the membership values ​​corresponding to the current phase deviation and the charging progress exceed the preset upper and lower limit thresholds. If so, set the over-limit variables to new upper and lower limit thresholds and execute the next step. If not, execute the next step directly.

[0124] The membership values ​​of the current phase deviation and the charging progress after fuzzy processing are compared with the preset upper and lower thresholds. If the membership value exceeds the upper threshold, it is set to the upper threshold; if it is lower than the lower threshold, it is set to the lower threshold.

[0125] This step is to ensure that the data input to the subsequent fuzzy reasoning module is within a reasonable range, to prevent unreasonable control output due to abnormal data (such as erroneous data caused by sensor failure), and to ensure the stability and reliability of the entire opening speed adjustment logic.

[0126] An output quantity is obtained by fuzzy table lookup, and the output quantity is defuzzified to obtain the driving frequency;

[0127] According to the membership value after threshold processing, a fuzzy output is obtained by querying the pre-set fuzzy rule table. Then, the fuzzy output is converted into an accurate driving frequency value by using a defuzzification algorithm (such as the centroid method, the maximum membership method, etc.).

[0128] Through the fuzzy rule table, the influence of current phase deviation and charging progress on the opening speed can be comprehensively considered to obtain a reasonable driving frequency for controlling the speed of the opening operation. For example, when the current phase deviation is large and the charging progress is close to full, the opening speed may need to be reduced. The corresponding appropriate driving frequency can be obtained through fuzzy rules and defuzzification operations.

[0129] It is determined whether the driving frequency exceeds the preset frequency upper limit threshold. If it exceeds, the driving frequency is set to a new frequency upper limit threshold. If it does not exceed, the driving frequency is directly output.

[0130] The obtained driving frequency is compared with the preset frequency upper limit threshold. If the driving frequency exceeds the upper limit threshold, the driving frequency is set to the upper limit threshold; if it does not exceed, the driving frequency is directly output. Ensure that the driving frequency is within a safe and reasonable range. Too high a driving frequency may cause damage to the opening mechanism or loss of control of the opening process. This limitation can ensure the safety and reliability of the opening operation.

[0131] The opening speed adjustment logic realizes reasonable adjustment of the circuit breaker opening speed through the collection, fuzzy processing and precise control of power parameters. Through the dynamic adjustment of the opening speed, the circuit breaker can be as close to the optimal opening effect as possible under different power system conditions, thereby extending the service life of the circuit breaker and improving the reliability of power system operation.

[0132] The modular circuit breaker adaptive breaking method based on the breaking phase of the present invention can adaptively adjust the breaking speed according to the change of the actual working conditions of the modular circuit breaker, improve the breaking reliability of the circuit breaker, and optimize the performance of the circuit breaker.

[0133] The embodiment of the present application further provides a modular circuit breaker adaptive breaking system based on the opening phase, which is applied to the aforementioned modular circuit breaker adaptive breaking method based on the opening phase, comprising:

[0134] A phase acquisition unit, used to acquire real-time opening phase data of the modular circuit breaker;

[0135] A simulation result acquisition unit, used for acquiring simulation results of a vacuum arc physical model based on simulation software;

[0136] The opening speed adjustment unit is used to adjust the opening speed according to the simulation results, based on the real-time opening phase data and the preset breaking policy.

[0137] The technical effects of a modular circuit breaker adaptive breaking system based on the opening phase of this embodiment are the same as those of an embodiment of a modular circuit breaker adaptive breaking method based on the opening phase. At the same time, the functions and explanations of each unit also correspond to them and will not be repeated.

[0138] Those of ordinary skill in the art will appreciate that the units of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition of each example has been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0139] In the embodiments provided by the present invention, it should be understood that the division of units is only a logical function division, and there may be other division methods in actual implementation, for example, multiple units can be combined into one unit, one unit can be split into multiple units, or some features can be ignored, etc.

[0140] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0141] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-0nlyMemory), random access memory (RAM, RandomAccessMemory), mobile hard disk, magnetic disk or optical disk, etc., which can store program code.

[0142] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A modular circuit breaker adaptive breaking method based on opening phase, characterized in that: include: Obtain real-time opening phase data of modular circuit breakers; Obtain simulation results of the vacuum arc physical model based on simulation software; According to the simulation results, the opening speed is adjusted based on the real-time opening phase data and the preset breaking strategy.

2. A modular circuit breaker adaptive breaking method based on opening phase according to claim 1, characterized in that: The obtaining of simulation results of the vacuum arc physical model based on the simulation software includes: According to the preset vacuum arc calculation area, a vacuum arc physical model is established; According to the selected simulation software, set the corresponding simulation parameters and boundary conditions; Meshing the physical model according to preset control parameters; According to the simulation parameters and boundary conditions, the meshed physical model is run using simulation software to extract the simulation results.

3. A modular circuit breaker adaptive breaking method based on opening phase according to claim 2, characterized in that: The simulation results include: The relationship between the opening phase and the arcing time and the anode plasma density when the current passes through zero is obtained. When the opening phase is less than the phase value, the opening speed is increased, the arcing time is reduced, and the anode energy flux density is reduced when the current passes through zero.

4. A modular circuit breaker adaptive breaking method based on opening phase according to claim 3, characterized in that: The adjusting the opening speed based on the real-time opening phase data and the preset breaking strategy according to the simulation results includes: When the opening phase is within the preset phase threshold, the preset opening speed is opened; When the opening phase is not within the preset phase threshold, the opening speed is adjusted according to the preset opening speed adjustment logic.

5. A modular circuit breaker adaptive breaking method based on opening phase according to claim 4, characterized in that: The preset opening speed adjustment logic adjusts the opening speed including: Obtain the power parameters of the circuit where the circuit breaker is located, and calculate the current phase deviation and charging progress; The calculated current phase deviation and charging progress are fuzzy processed to obtain the membership values ​​corresponding to the current phase deviation and the charging progress; Determine whether the membership values ​​corresponding to the current phase deviation and the charging progress exceed the preset upper and lower limit thresholds. If so, set the over-limit variables to new upper and lower limit thresholds and execute the next step. If not, execute the next step directly. An output quantity is obtained by fuzzy table lookup, and the output quantity is defuzzified to obtain the driving frequency; It is determined whether the driving frequency exceeds the preset frequency upper limit threshold. If it exceeds, the driving frequency is set to a new frequency upper limit threshold. If it does not exceed, the driving frequency is directly output.

6. A modular circuit breaker adaptive breaking method based on opening phase according to claim 1, characterized in that: The obtaining of real-time opening phase data of the modular circuit breaker includes: Obtain real-time voltage data of modular circuit breakers at the inlet and outlet positions; A voltage dynamic signal model in Taylor series form is established based on voltage data; The voltage dynamic signal model in Taylor series form is discretized by a preset sampling frequency to obtain a discrete sequence of voltage signals; According to the preset window function, an equation relationship is constructed for the discrete values ​​of the voltage signal corresponding to different sampling moments in the window; The least squares method is used to solve the equation relationship to obtain the phasor measurement value, and the real-time opening phase is calculated based on the phasor measurement value.

7. A modular circuit breaker adaptive breaking method based on opening phase according to claim 6, characterized in that: The voltage dynamic signal model in Taylor series form is established according to the voltage data, including: The voltage signal of the voltage data is modulated by the low-frequency band-limited signal and the rotating phasor to obtain the fundamental component of each phase voltage signal under dynamic conditions; the voltage signal phasor X(t) and the voltage signal x(t) are respectively: Where: f0 is the fundamental frequency; b(t) is the low-frequency band-limited signal. Under dynamic conditions, b(t) is a time-varying variable. is the rotating phasor; Introducing Taylor series into dynamic signal modeling, b(t) is expressed as follows: Where: b( k ) is the value of the derivative at the reference time; K is the highest order of the dynamic signal expanded by Taylor series; Substitute the order derivative value b(t) into the voltage signal phasor X(t), and then use the Euler formula to obtain the voltage dynamic signal model in the form of Taylor series, which is expressed as follows: Where: t represents time; j represents the complex form of the signal.

8. A modular circuit breaker adaptive breaking method based on opening phase according to claim 7, characterized in that: The discrete sequence of the voltage signal obtained by discretizing the voltage dynamic signal model in Taylor series form at a preset sampling frequency includes: The voltage dynamic signal model in the form of Taylor series is discretized with the sampling frequency to obtain a discrete sequence of the voltage signal. The specific calculation formula is as follows: Where: n = t·f S , n represents the index of the discrete sequence, f S is the sampling frequency, f s =Nf0, N is the number of sampling points in one fundamental wave cycle; β (k) is the expansion coefficient; ω0=2πf0 / f S , ω0 represents the sampling angular frequency.

9. A modular circuit breaker adaptive breaking system based on opening phase, characterized in that: A modular circuit breaker adaptive breaking method based on opening phase as described in any one of claims 1 to 8, comprising: A phase acquisition unit, used to acquire real-time opening phase data of the modular circuit breaker; The simulation result acquisition unit is used to obtain the simulation result of the simulation operation of the vacuum arc physical model based on the simulation software; the opening speed adjustment unit is used to adjust the opening speed based on the simulation result, the real-time opening phase data and the preset breaking policy.

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