Reactive compensation early warning control method and device based on multi-dimensional parameter fusion analysis

Abstract

The present invention relates to the field of reactive power compensation technology, and discloses a reactive power compensation early warning control method and device based on multi-dimensional parameter fusion analysis. The method is applied to a target control loop in which a reactor is electrically connected to a capacitor. The method comprises: collecting first multi-dimensional state parameters within a preset range of the reactor, including a second multi-dimensional state parameter of the reactor and a third multi-dimensional state parameter of each branch in the target control loop; for each dimensional state parameter in the first multi-dimensional state parameter, calculating a target analysis parameter of the dimensional state parameter according to a matched first analysis algorithm; judging whether the target analysis parameter is greater than or equal to a preset analysis threshold parameter corresponding to the target analysis parameter, and when the judgment result is yes, generating an early warning control parameter for a target control unit corresponding to the target analysis parameter according to the target analysis parameter. It can be seen that the implementation of the present invention can improve the accuracy, comprehensiveness and efficiency of reactive power compensation early warning control of the reactor.

Description

Technical Field

[0001] The present invention relates to the technical field of reactive power compensation, and in particular to a reactive power compensation early warning control method and device based on multi-dimensional parameter fusion analysis. Background Art

[0002] Reactive power compensation technology is an important part of the power system. The reactor is an electrical device used to regulate reactive power in the power grid. It compensates for reactive power by changing the impedance characteristics of the power grid. In the reactive power compensation system, the reactor is usually used as a parallel or series element to balance the inductive and capacitive reactive power in the power grid, thereby maintaining the power supply stability of the power grid.

[0003] However, practice has found that traditional reactive power compensation methods using reactors often rely on a single parameter for compensation analysis and control, and are often unable to provide timely warnings for complex faults, resulting in safety concerns in actual production applications.

[0004] It can be seen that how to improve the accuracy and timeliness of reactive compensation early warning control is particularly important. Summary of the Invention

[0005] The present invention provides a reactive power compensation early warning control method and device based on multi-dimensional parameter fusion analysis, which can improve the accuracy and timeliness of reactive power compensation early warning control.

[0006] In order to solve the above technical problems, the first aspect of the present invention discloses a reactive compensation early warning control method based on multi-dimensional parameter fusion analysis. The method is applied to a reactor, the reactor being electrically connected to a target control loop, the target control loop including a capacitor, and the method comprising:

[0007] Collecting first multi-dimensional state parameters of the reactor within a preset range, where the first multi-dimensional state parameters include second multi-dimensional state parameters of the reactor and third multi-dimensional state parameters of each branch in a target control loop;

[0008] For each dimensional state parameter in the first multi-dimensional state parameters, matching the first analysis algorithm of the dimensional state parameter; calculating the target analysis parameter of the dimensional state parameter according to the first analysis algorithm;

[0009] Determine whether the target analysis parameter is greater than or equal to a preset analysis threshold parameter corresponding to the target analysis parameter. When the judgment result is yes, generate a warning control parameter for the target control unit corresponding to the target analysis parameter based on the target analysis parameter. The warning control parameter is used to perform a matching warning control operation on the target control unit. The warning control operation includes at least one of a harmonic voltage protection control operation, a harmonic current protection control operation, a resonance protection control operation, a grid overvoltage protection control operation, a capacitor overvoltage protection control operation, and a capacitance loss warning control operation.

[0010] As an optional embodiment, in the first aspect of the present invention, the second multidimensional state parameter includes voltage state parameters at the input and output ends of the reactor. For the voltage state parameter of the second multidimensional state parameter, the first analysis algorithm includes a target conversion algorithm and a second analysis algorithm, and calculating the target analysis parameter of the dimensional state parameter according to the first analysis algorithm includes:

[0011] For each of the voltage state parameters, converting the voltage state parameter into a target level parameter of the voltage state parameter according to the target conversion algorithm;

[0012] Calculating target harmonic parameters of the voltage state parameter according to the target series parameter;

[0013] Calculating, according to the second analysis algorithm, multidimensional target value parameters of the target harmonic parameters of each order, the multidimensional target value parameters being used to indicate the degree of influence of the target harmonic parameters of the corresponding order on the target control loop, the multidimensional target value parameters including a voltage target value parameter and a current target value parameter;

[0014] Calculating a capacitance deviation parameter of the capacitor according to all the multi-dimensional target values;

[0015] The voltage state parameter, the multi-dimensional target value parameter and the capacitance deviation parameter are determined as target analysis parameters of the voltage state parameter.

[0016] As an optional implementation manner, in the first aspect of the present invention, for each of the voltage state parameters, converting the voltage state parameter into a target level parameter of the voltage state parameter according to the target conversion algorithm includes:

[0017] determining a type parameter of the voltage state parameter, where the type parameter is used to indicate whether the voltage state parameter is a continuous state parameter or a discrete state parameter;

[0018] Correcting the target conversion algorithm according to the type parameter;

[0019] According to the corrected target conversion algorithm, the voltage state parameter is converted into a target series parameter of the voltage state parameter, wherein the target series parameter includes a first parameter and a second parameter, wherein the first parameter is used to represent the intensity of the change of the voltage state parameter, and the second parameter is used to represent the direction and time state of the change of the voltage state parameter.

[0020] As an optional implementation manner, in the first aspect of the present invention, each target harmonic parameter of the voltage state parameter is calculated by a first formula, and the first formula is:

[0021] ;

[0022] ;

[0023]

[0024] ;

[0025] in, and Used to represent the nth target harmonic parameter, is used to represent the target series parameter, That is =n, the target series parameter, Used to indicate the total number of harmonics, Used to indicate The real part of Used to indicate The imaginary part of discrete data points representing the voltage state parameters, Used to indicate the fundamental angular frequency.

[0026] As an optional implementation manner, in the first aspect of the present invention, the voltage target value parameter is calculated by a second formula, and the second formula is:

[0027] ;

[0028] in, The voltage target value parameter used to represent the nth target harmonic parameter, Used to indicate the preset first weight.

[0029] As an optional implementation manner, in the first aspect of the present invention, the current target value parameter is calculated by a third formula, and the third formula is:

[0030] ;

[0031] ;

[0032] in, The current target value parameter used to represent the nth target harmonic parameter, Used to indicate the preset second weight, Used to indicate the harmonic order, Used to represent the first preset inductance value, Used to indicate the The inductive reactance value of the target harmonic parameter.

[0033] As an optional implementation, in the first aspect of the present invention, the capacitance deviation parameter is calculated using a fourth formula, which is:

[0034] ;

[0035] in, Used to indicate the capacitance deviation parameter. Used to indicate the preset capacitance value, It is used to indicate the target value of the fundamental voltage at the input end of the reactor. It is used to indicate the target value of the fundamental voltage at the output end of the reactor. Used to indicate the fundamental angular frequency, Used to indicate the second preset inductance value.

[0036] A second aspect of the present invention discloses a reactive compensation early warning control device based on multi-dimensional parameter fusion analysis, the device being applied to a reactor electrically connected to a target control loop including a capacitor, the device comprising:

[0037] an acquisition module, configured to acquire a first multi-dimensional state parameter of the reactor within a preset range, wherein the first multi-dimensional state parameter includes a second multi-dimensional state parameter of the reactor and a third multi-dimensional state parameter of each branch in a target control loop;

[0038] a matching module, configured to match each dimensional state parameter in the first multi-dimensional state parameter with a first analysis algorithm for the dimensional state parameter;

[0039] a calculation module, configured to calculate a target analysis parameter of the dimensional state parameter according to the first analysis algorithm;

[0040] A judgment module, configured to judge whether the target analysis parameter is greater than or equal to a preset analysis threshold parameter corresponding to the target analysis parameter;

[0041] A generation module is used to generate, when the judgment result of the judgment module is yes, early warning control parameters for the target control unit corresponding to the target analysis parameters according to the target analysis parameters, and the early warning control parameters are used to perform matching early warning control operations on the target control unit, and the early warning control operations include at least one of harmonic voltage protection control operations, harmonic current protection control operations, resonance protection control operations, grid overvoltage protection control operations, capacitor overvoltage protection control operations, and capacitance loss early warning control operations.

[0042] As an optional embodiment, in the second aspect of the present invention, the second multidimensional state parameter includes voltage state parameters at the input and output ends of the reactor. For the voltage state parameter of the second multidimensional state parameter, the first analysis algorithm includes a target conversion algorithm and a second analysis algorithm, and the calculation module calculates the target analysis parameter of the dimensional state parameter according to the first analysis algorithm. The specific manner includes:

[0043] For each of the voltage state parameters, converting the voltage state parameter into a target level parameter of the voltage state parameter according to the target conversion algorithm;

[0044] Calculating target harmonic parameters of the voltage state parameter according to the target series parameter;

[0045] Calculating, according to the second analysis algorithm, multidimensional target value parameters of the target harmonic parameters of each order, the multidimensional target value parameters being used to indicate the degree of influence of the target harmonic parameters of the corresponding order on the target control loop, the multidimensional target value parameters including a voltage target value parameter and a current target value parameter;

[0046] Calculating a capacitance deviation parameter of the capacitor according to all the multi-dimensional target values;

[0047] The voltage state parameter, the multi-dimensional target value parameter and the capacitance deviation parameter are determined as target analysis parameters of the voltage state parameter.

[0048] As an optional implementation manner, in the second aspect of the present invention, for each of the voltage state parameters, the specific manner in which the calculation module converts the voltage state parameter into a target series parameter of the voltage state parameter according to the target conversion algorithm includes:

[0049] determining a type parameter of the voltage state parameter, where the type parameter is used to indicate whether the voltage state parameter is a continuous state parameter or a discrete state parameter;

[0050] Correcting the target conversion algorithm according to the type parameter;

[0051] According to the corrected target conversion algorithm, the voltage state parameter is converted into a target series parameter of the voltage state parameter, wherein the target series parameter includes a first parameter and a second parameter, wherein the first parameter is used to represent the intensity of the change of the voltage state parameter, and the second parameter is used to represent the direction and time state of the change of the voltage state parameter.

[0052] As an optional implementation manner, in the second aspect of the present invention, each target harmonic parameter of the voltage state parameter is calculated by a first formula, and the first formula is:

[0053] ;

[0054] ;

[0055]

[0056] ;

[0057] in, and Used to represent the nth target harmonic parameter, is used to represent the target series parameter, That is =n, the target series parameter, Used to indicate the total number of harmonics, Used to indicate The real part of Used to indicate The imaginary part of discrete data points representing the voltage state parameters, Used to indicate the fundamental angular frequency.

[0058] As an optional implementation manner, in the second aspect of the present invention, the voltage target value parameter is calculated by a second formula, and the second formula is:

[0059] ;

[0060] in, The voltage target value parameter used to represent the nth target harmonic parameter, Used to indicate the preset first weight.

[0061] As an optional implementation manner, in the second aspect of the present invention, the current target value parameter is calculated by a third formula, and the third formula is:

[0062] ;

[0063] ;

[0064] in, The current target value parameter used to represent the nth target harmonic parameter, Used to indicate the preset second weight, Used to indicate the harmonic order, Used to represent the first preset inductance value, Used to indicate the The inductive reactance value of the target harmonic parameter.

[0065] As an optional implementation, in the second aspect of the present invention, the capacitance deviation parameter is calculated using a fourth formula, which is:

[0066] ;

[0067] in, Used to indicate the capacitance deviation parameter. Used to indicate the preset capacitance value, It is used to indicate the target value of the fundamental voltage at the input end of the reactor. It is used to indicate the target value of the fundamental voltage at the output end of the reactor. Used to indicate the fundamental angular frequency, Used to indicate the second preset inductance value.

[0068] The third aspect of the present invention discloses another reactive power compensation early warning control device based on multi-dimensional parameter fusion analysis, the device comprising:

[0069] a memory storing executable program code;

[0070] a processor coupled to the memory;

[0071] The processor calls the executable program code stored in the memory to execute the reactive compensation early warning control method based on multi-dimensional parameter fusion analysis disclosed in the first aspect of the present invention.

[0072] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the reactive compensation early warning control method based on multi-dimensional parameter fusion analysis disclosed in the first aspect of the present invention.

[0073] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0074] In an embodiment of the present invention, the method is applied to a reactor, the reactor is electrically connected to a target control loop, the target control loop includes a capacitor, and the method includes: collecting a first multidimensional state parameter within a preset range of the reactor, the first multidimensional state parameter including a second multidimensional state parameter of the reactor and a third multidimensional state parameter of each branch in the target control loop; for each dimensional state parameter in the first multidimensional state parameter, matching a first analysis algorithm of the dimensional state parameter; calculating a target analysis parameter of the dimensional state parameter according to the first analysis algorithm; judging whether the target analysis parameter is greater than or equal to a preset analysis threshold parameter corresponding to the target analysis parameter, and when the judgment result is yes, generating an early warning control parameter for a target control unit corresponding to the target analysis parameter according to the target analysis parameter, the early warning control parameter being used to perform a matching early warning control operation on the target control unit, the early warning control operation including at least one of a harmonic voltage protection control operation, a harmonic current protection control operation, a resonance protection control operation, a grid overvoltage protection control operation, a capacitor overvoltage protection control operation, and a capacitance loss early warning control operation. It can be seen that the implementation of the present invention can match the first analysis algorithm of each dimensional state parameter according to the first multidimensional state parameter of the second multidimensional state parameter of the reactor and the third multidimensional state parameter of each branch in the target control loop corresponding to the reactor within the preset range of the collected reactor, so as to specifically calculate the target analysis parameter of the dimensional state parameter, and when it is judged that the target analysis parameter is greater than or equal to the preset analysis threshold parameter corresponding to the target analysis parameter, generate the early warning control parameter for the target control unit corresponding to the target analysis parameter, and provide a multi-dimensional early warning control operation. Compared with the existing technology, it can not only improve the performance of the reactor and the reactance by matching the analysis algorithm, but also From the perspective of comprehensiveness and accuracy of the analysis of multi-dimensional state parameters of each branch in the target control loop corresponding to the device, the accuracy and comprehensiveness of the reactive compensation early warning control of the reactor can be improved. By integrating and applying the above technical solutions in the reactor, the processing efficiency of the reactive compensation early warning analysis and control of the reactor can be improved, and the production application risks caused by inaccurate, incomplete and untimely local judgments can be reduced. Moreover, for each dimensional state parameter, the accuracy, comprehensiveness and efficiency of the reactive compensation early warning control of the reactor can be further improved based on the corresponding preset analysis threshold parameters, the performance of the dimensional state parameters themselves, harmonics, impedance, device performance, physical characteristic changes, etc. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0076] Figure 1 This is a flow chart of a reactive power compensation early warning control method based on multi-dimensional parameter fusion analysis disclosed in an embodiment of the present invention;

[0077] Figure 2 This is a schematic structural diagram of a reactor disclosed in an embodiment of the present invention;

[0078] Figure 3 This is a schematic diagram of an infinite communication structure of a reactor disclosed in an embodiment of the present invention;

[0079] Figure 4 This is a structural diagram of a reactive compensation early warning control device based on multi-dimensional parameter fusion analysis disclosed in an embodiment of the present invention;

[0080] Figure 5 It is a structural diagram of another reactive power compensation early warning control device based on multi-dimensional parameter fusion analysis disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0081] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the embodiments described are only 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 making creative efforts shall fall within the scope of protection of the present invention.

[0082] The terms "first," "second," and so on, in the description and claims of the present invention and the accompanying drawings are used to distinguish between different items, not to describe a specific order. Furthermore, the terms "including," "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product, or end comprising a series of steps or elements is not limited to the listed steps or elements but may optionally include steps or elements not listed therein, or may optionally include other steps or elements inherent to such process, method, product, or end.

[0083] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0084] The present invention discloses a reactive compensation early warning control method and device based on multi-dimensional parameter fusion analysis, which can match the first analysis algorithm of each dimensional state parameter according to the first multi-dimensional state parameter including the second multi-dimensional state parameter of the reactor and the third multi-dimensional state parameter of each branch in the target control loop corresponding to the reactor within the preset range of the collected reactor, so as to calculate the target analysis parameter of the dimensional state parameter in a targeted manner, and when it is judged that the target analysis parameter is greater than or equal to the preset analysis threshold parameter corresponding to the target analysis parameter, generate early warning control parameters for the target control unit corresponding to the target analysis parameter, provide multi-dimensional early warning control operation, and compared with the existing technology, not only can the method be realized by matching the analysis parameters, but also can be realized by matching the analysis parameters. The analysis algorithm improves the accuracy and comprehensiveness of the reactive compensation early warning control of the reactor from the perspective of improving the comprehensiveness and accuracy of the analysis of the multi-dimensional state parameters of the reactor and each branch in the target control loop corresponding to the reactor. It can also improve the processing efficiency of the reactive compensation early warning analysis and control of the reactor by integrating the above-mentioned technical solutions into the reactor, and reduce the production application risks caused by inaccurate, incomplete and untimely local judgments. Moreover, for each dimensional state parameter, it can further improve the accuracy, comprehensiveness and efficiency of the reactive compensation early warning control of the reactor based on the corresponding preset analysis threshold parameters, the performance of the dimensional state parameters themselves, harmonics, impedance, device performance, physical characteristic changes, etc. Detailed explanations are given below.

[0085] Example 1

[0086] See also Figure 1 , Figure 1 This is a flow chart of a reactive compensation early warning control method based on multi-dimensional parameter fusion analysis disclosed in an embodiment of the present invention. Figure 1 The reactive compensation early warning control method based on multi-dimensional parameter fusion analysis described can be applied to reactors, and can also be applied to smart devices related to reactors, wherein the above-mentioned reactor is electrically connected to the target control loop, the target control loop includes a capacitor, and the smart device includes but is not limited to one or more of battery devices, cloud devices, edge computing devices, relay devices, base station devices, urban management devices, and smart network devices, and the embodiments of the present invention do not limit this. Figure 1 As shown, the reactive power compensation early warning control method based on multi-dimensional parameter fusion analysis may include the following operations:

[0087] 101. Collect first multi-dimensional state parameters of the reactor within a preset range, where the first multi-dimensional state parameters include second multi-dimensional state parameters of the reactor and third multi-dimensional state parameters of each branch in the target control loop;

[0088] In the embodiment of the present invention, optionally, Figure 2 As shown, Figure 2 A schematic structural diagram of a reactor is disclosed; Figure 2 In FIG. 1 , a is a left side view of the reactor, and b is a front view of the reactor. The reactor may include a reactor body, a voltage acquisition unit, a temperature acquisition unit, a main control board, an alarm output unit, and a wireless communication unit.

[0089] Among them, the reactor body, such as Figure 2 As shown in the left view a marked ①, it can be used to match the capacity of the capacitor and the required reactance ratio to match the reactor parameters;

[0090] Voltage acquisition unit, used to collect the voltage samples at the input end of the reactor (such as Figure 2 As shown in the front view b marked ②) and the voltage sampling at its output end (as shown in Figure 2 (as shown in the front view b marked ③);

[0091] Temperature collection unit, collection points such as Figure 2 As shown in the front view b marked ④, there are multiple internal collection points, including 7 internal collection points and 1 external collection point. Among the 7 internal temperature collection points, 6 are used to collect the temperature of the terminal blocks, and the other is used to collect the temperature of the reactor B phase wire package. The 1 external collection point is mainly used to collect the temperature inside the capacitor in the target control loop.

[0092] Main control board, such as Figure 2 As shown in the left view a marked ⑤, it can be embedded in the upper end of the reactor, and internally integrates power conversion circuit, voltage acquisition circuit, temperature acquisition current, alarm output circuit, external communication receiving circuit, single chip control circuit, etc. The main control board is mainly used for data analysis, logical judgment, alarm output, and data communication;

[0093] Alarm output unit, optional, can use the main contact of the normally closed relay as the signal output point, such as Figure 2 As shown in the front view b marked ⑥. The alarm output is generally connected in series with the control signal. When the main control board determines that a preset alarm has occurred, the main control board sends a signal to control the relay to disconnect, thereby disconnecting the control signal and causing the switching switch to be cut off;

[0094] In the embodiment of the present invention, optionally, the target control unit described below may be the alarm output unit described above;

[0095] In the embodiment of the present invention, further optionally, the wireless communication unit can be embedded in the main control board as a communication medium between the main control board and the host computer, such as Figure 3 As shown, Figure 3 Disclosed is a schematic diagram of a wireless communication structure of a reactor, wherein the wireless communication unit is a LORA (Long Range Radio, LORA) module, and Figure 3 In the system, the LoRa module (controller) can correspond to the host computer. The reactor has a built-in LoRa module. The LoRa module (controller) can collect the real-time operating parameters of each reactor (capacitor capacity, capacitor loss rate, temperature, current, voltage, etc.) through LoRa wireless communication.

[0096] In the embodiment of the present invention, further optionally, in the target control loop, the third multi-dimensional state parameters of each branch include basic physical quantity parameters (such as temperature and pressure) and directly controlled quantity parameters (such as set value and deviation). In addition, high-order parameters that can comprehensively describe the complex state of the target control loop from multiple dimensions may also be included, specifically including:

[0097] 1. Dynamic response characteristic parameters, such as time domain characteristics: overshoot, adjustment time, rise time, number of oscillations, steady-state error; dynamic robustness: anti-interference ability, recovery time, dynamic stiffness; nonlinear characteristics: hysteresis effect, dead zone range, saturation threshold;

[0098] 2. Frequency / frequency domain characteristic parameters, such as frequency response: bandwidth, phase margin, gain margin, resonant frequency; harmonics and noise: total harmonic distortion (THD), signal-to-noise ratio (SNR), spectral energy distribution; filter characteristics: cutoff frequency, attenuation slope, passband ripple;

[0099] 3. Statistical and random characteristic parameters, such as statistical distribution: mean, variance, covariance, kurtosis, skewness; random process characteristics: autocorrelation function, power spectral density, Markov chain state transition probability; uncertainty measures: parameter confidence intervals, Monte Carlo simulation output distribution;

[0100] 4. Information and communication dimension parameters, such as communication quality (transmission delay, packet loss rate, communication bandwidth utilization), signal integrity (quantization error, sampling rate adaptability, signal synchronization accuracy), network security (encryption strength, abnormal traffic detection indicators);

[0101] 5. Energy efficiency and performance optimization parameters, such as energy efficiency (power consumption / energy consumption ratio, heat loss, and regenerative energy utilization); optimization indicators (cost function value, optimal control trajectory deviation, and predictive control rolling optimization residual); reliability indicators (mean time between failures (MTBF), fault detection rate, and health score);

[0102] 6. Spatial / geometric distribution parameters, such as field distribution characteristics: temperature gradient, pressure field uniformity, velocity distribution symmetry; geometric relationships: pose errors (such as translation / rotation deviation), joint space and task space mapping errors; multi-sensor fusion: spatial registration accuracy, multi-source data fusion consistency;

[0103] 7. Environmental and external interference parameters, such as environmental interference: ambient temperature fluctuation, humidity influence coefficient, electromagnetic interference intensity; load disturbance: load mutation amplitude, external torque / force spectrum characteristics; random events: sudden failure probability, external shock duration;

[0104] 8. High-order control model parameters, such as state-space parameters (state observer estimation error, Kalman filter covariance matrix), adaptive control parameters (parameter adjustment rate, Model Reference Adaptive Control (MRAC) tracking error), and prediction model parameters (prediction horizon length, rolling optimization weight matrix, and constraint violation probability).

[0105] 9. Material / chemical process parameters (specific to specific fields), such as material properties: viscosity, concentration gradient, reaction rate constant; chemical processes: catalyst activity, phase transition critical point, diffusion coefficient; biological processes: cell growth rate, metabolite concentration, pH dynamic equilibrium;

[0106] 10. Safety and health management parameters, such as fault diagnosis: residual signal amplitude, fault isolation confidence, remaining useful life (RUL) prediction; safety thresholds: safe operating boundaries (such as maximum allowable pressure), fault-tolerant control redundancy; human-computer interaction: operator response delay, ergonomic load index;

[0107] In summary, the selection of third-dimensional state parameters is highly dependent on the specific application scenario. For example, for industrial robots, the harmonic content of joint torques and the vibration spectrum of the end effector; for power systems, the covariance of branch power flows and the fluctuation rate of reactive power; and for chemical processes, the uniformity of concentration distribution within the reactor and the dynamic changes in heat transfer efficiency. The third-dimensional state parameters must be determined based on the system model, control objectives, and sensor configuration corresponding to the target control loop.

[0108] In an embodiment of the present invention, further optionally, the above-mentioned second multi-dimensional state parameter can further correspond to the above-mentioned third multi-dimensional state parameter, that is, it can also include corresponding parameters of the same type, but is used to represent the state of the corresponding dimension of the inductor.

[0109] It can be seen that the implementation of the embodiments of the present invention can improve the accuracy and comprehensiveness of the reactive compensation warning control of the reactor from the perspective of improving the comprehensiveness and accuracy of the analysis of the multi-dimensional state parameters of the reactor and each branch in the target control loop corresponding to the reactor. It can also improve the processing efficiency of the reactive compensation warning analysis and control of the reactor by integrating and applying the above-mentioned technical solutions in the reactor, improve the intelligence level of the reactor and the degree of embedded convenient application, and reduce the production application risks brought about by inaccurate, incomplete and untimely local judgments.

[0110] 102. For each dimensional state parameter in the first multi-dimensional state parameter, match the first analysis algorithm for the dimensional state parameter;

[0111] 103. Calculate the target analysis parameter of the dimensional state parameter according to the first analysis algorithm;

[0112] In an embodiment of the present invention, as an optional implementation manner, the above-mentioned second multidimensional state parameter includes voltage state parameters at the input and output ends of the reactor. For the voltage state parameter of the second multidimensional state parameter, the first analysis algorithm includes a target conversion algorithm and a second analysis algorithm, and, according to the first analysis algorithm, calculating the target analysis parameter of the dimensional state parameter includes:

[0113] For each voltage state parameter, converting the voltage state parameter into a target level parameter of the voltage state parameter according to a target conversion algorithm;

[0114] Calculate the target harmonic parameters of the voltage state parameters according to the target series parameters;

[0115] Calculate, according to the second analysis algorithm, multi-dimensional target value parameters for each target harmonic parameter, the multi-dimensional target value parameters being used to indicate the degree of influence of the corresponding target harmonic parameter on the target control loop, the multi-dimensional target value parameters including a voltage target value parameter and a current target value parameter;

[0116] Calculate the capacitance deviation parameters of the capacitor based on all multi-dimensional target values;

[0117] The voltage state parameter, the multi-dimensional target value parameter and the capacitance deviation parameter are determined as target analysis parameters of the voltage state parameter.

[0118] In this optional embodiment, optionally, when the dimensional state parameter is a temperature state parameter, it can be combined with the content described in the above-mentioned temperature acquisition unit. For different temperature acquisition points, the corresponding components are different. Accordingly, the corresponding temperature state parameters can be combined with the physical property parameters, service life parameters, usage frequency parameters and other performance parameters of the corresponding components to perform standardized conversion of the temperature state parameters to varying degrees, and obtain the target analysis parameters of the temperature state parameters under a unified standard.

[0119] It can be seen that the implementation of this optional embodiment can, when the dimensional state parameters are the voltage state parameters of the input and output ends of the above-mentioned reactor, for each voltage state parameter, convert the voltage state parameter into the target level parameter of the voltage state parameter according to the matched target conversion algorithm; calculate the target harmonic parameters of the voltage state parameter according to the target level parameter; thereby utilizing the target harmonic parameters of the voltage state parameter and the second analysis algorithm to calculate the multi-dimensional target value parameters used to represent the degree of influence of the corresponding order target harmonic parameters on the target control loop and at least including the voltage target value parameter and the current target value parameter, and further calculate the capacitance deviation parameter of the capacitor, thereby improving the accuracy and comprehensiveness of the reactive compensation early warning analysis of the integrated reactor, which is beneficial to improving the accuracy, comprehensiveness and efficiency of the reactive compensation early warning control of the reactor from the perspective of improving the comprehensiveness and accuracy of the analysis of the multi-dimensional state parameters of the reactor and each branch in the target control loop corresponding to the reactor.

[0120] In this optional embodiment, as an optional embodiment mode, for each voltage state parameter, converting the voltage state parameter into a target level parameter of the voltage state parameter according to a target conversion algorithm includes:

[0121] Determine a type parameter of the voltage state parameter, where the type parameter is used to indicate whether the voltage state parameter is a continuous state parameter or a discrete state parameter;

[0122] Correct the target conversion algorithm based on the type parameter;

[0123] According to the corrected target conversion algorithm, the voltage state parameter is converted into a target series parameter of the voltage state parameter, the target series parameter including a first parameter and a second parameter, the first parameter being used to represent the intensity of the change of the voltage state parameter, and the second parameter being used to represent the direction and time state of the change of the voltage state parameter.

[0124] It can be seen that the implementation of this optional embodiment can further correct the target conversion algorithm by determining the type parameter of the voltage state parameter, so that according to the corrected target conversion algorithm, the voltage state parameter is converted into a target series parameter of the voltage state parameter including a first parameter for indicating the intensity of the change of the voltage state parameter and a second parameter for indicating the direction of change and the time state of the voltage state parameter, which is beneficial to further improve the comprehensiveness and accuracy of the analysis of the dimensional state parameters, improve the accuracy and comprehensiveness of the reactive compensation early warning control of the reactor, and improve the intelligence level of the reactor and the degree of embedded convenient application.

[0125] In this optional embodiment, as another optional implementation, each target harmonic parameter of the above-mentioned voltage state parameter is calculated by a first formula, which is:

[0126] ;

[0127] ;

[0128]

[0129] ;

[0130] in, and Used to represent the nth target harmonic parameter, Used to represent the target series parameter, That is =n when the target series parameter is Used to indicate the total number of harmonics, Used to indicate The real part of Used to indicate The imaginary part of Discrete data points used to represent voltage state parameters, Used to indicate the fundamental angular frequency.

[0131] It can be seen that the implementation of this optional embodiment can further improve the calculation accuracy and flexibility of the target harmonic parameters through the first formula, improve the parameter acquisition flexibility of the integrated inductor, and the parameter analysis and processing flexibility, which is beneficial to improving the flexibility, accuracy, comprehensiveness and efficiency of the reactive compensation early warning control of the inductor, and is beneficial to improving the level of production safety.

[0132] In this optional embodiment, as another optional implementation manner, the above voltage target value parameter is calculated by a second formula, and the second formula is:

[0133] ;

[0134] in, The voltage target value parameter used to represent the nth target harmonic parameter, Used to indicate the preset first weight.

[0135] It can be seen that implementing this optional embodiment can improve the feasibility and accuracy of the analysis of the voltage target value based on the second formula, which is beneficial to improving the accuracy of the reactive compensation warning analysis and control of the reactor.

[0136] In this optional embodiment, as an optional implementation manner, the above-mentioned current target value parameter is calculated by a third formula, and the third formula is:

[0137] ;

[0138] ;

[0139] in, The current target value parameter used to represent the nth target harmonic parameter, Used to indicate the preset second weight, Used to indicate the harmonic order, Used to represent the first preset inductance value, Used to indicate the The inductive reactance value of the sub-target harmonic parameter.

[0140] It can be seen that implementing this optional embodiment can improve the feasibility and accuracy of the analysis of the current target value based on the third formula, which is conducive to further improving the accuracy of reactive compensation warning analysis and control of the reactor.

[0141] In this optional embodiment, as another optional implementation, the above-mentioned capacitance deviation parameter is calculated by a fourth formula, which is:

[0142] ;

[0143] in, Used to indicate the capacitance deviation parameter. Used to indicate the preset capacitance value, Used to indicate the fundamental voltage target value at the input end of the reactor. Used to indicate the fundamental voltage target value at the output end of the reactor. Used to indicate the fundamental angular frequency, Used to indicate the second preset inductance value.

[0144] It can be seen that the implementation of the embodiment of the present invention can further analyze the capacitance deviation parameter of the capacitor in the target control loop based on the fourth formula, thereby helping to improve the accuracy of the reactive compensation warning analysis of the reactor and further improve the comprehensiveness of the reactive compensation warning analysis of the reactor. It is beneficial to provide capacitor overvoltage protection control and capacitance loss warning control on the basis of providing at least one warning protection control such as harmonic voltage protection control operation, harmonic current protection control operation, resonance protection control operation, and grid overvoltage protection control operation for the power system. Based on the performance of the state parameters of each dimension themselves, harmonics, impedance, device performance, physical characteristic changes, etc., the accuracy, comprehensiveness and efficiency of the reactive compensation warning control of the reactor are further improved.

[0145] 104. Determine whether the target analysis parameter is greater than or equal to a preset analysis threshold parameter corresponding to the target analysis parameter;

[0146] 105. When the judgment result is yes, the early warning control parameters for the target control unit corresponding to the target analysis parameters are generated according to the target analysis parameters. The early warning control parameters are used to perform matching early warning control operations on the target control unit. The early warning control operations include at least one of harmonic voltage protection control operations, harmonic current protection control operations, resonance protection control operations, grid overvoltage protection control operations, capacitor overvoltage protection control operations, and capacitance loss early warning control operations.

[0147] It can be seen that the implementation of the present invention can match the first analysis algorithm of each dimensional state parameter according to the first multidimensional state parameter of the second multidimensional state parameter of the reactor and the third multidimensional state parameter of each branch in the target control loop corresponding to the reactor within the preset range of the collected reactor, so as to specifically calculate the target analysis parameter of the dimensional state parameter, and when it is judged that the target analysis parameter is greater than or equal to the preset analysis threshold parameter corresponding to the target analysis parameter, generate the early warning control parameter for the target control unit corresponding to the target analysis parameter, and provide a multi-dimensional early warning control operation. Compared with the existing technology, it can not only improve the performance of the reactor and the reactance by matching the analysis algorithm, but also From the perspective of comprehensiveness and accuracy of the analysis of multi-dimensional state parameters of each branch in the target control loop corresponding to the device, the accuracy and comprehensiveness of the reactive compensation early warning control of the reactor can be improved. By integrating and applying the above technical solutions in the reactor, the processing efficiency of the reactive compensation early warning analysis and control of the reactor can be improved, and the production application risks caused by inaccurate, incomplete and untimely local judgments can be reduced. Moreover, for each dimensional state parameter, the accuracy, comprehensiveness and efficiency of the reactive compensation early warning control of the reactor can be further improved based on the corresponding preset analysis threshold parameters, the performance of the dimensional state parameters themselves, harmonics, impedance, device performance, physical characteristic changes, etc.

[0148] Example 2

[0149] See also Figure 4 , Figure 4It is a structural diagram of a reactive compensation early warning control device based on multi-dimensional parameter fusion analysis disclosed in an embodiment of the present invention. The reactive compensation early warning control device based on multi-dimensional parameter fusion analysis can be applied to reactors, and can also be applied to intelligent devices related to reactors, wherein the above-mentioned reactor is electrically connected to the target control loop, and the target control loop includes a capacitor. The intelligent device includes but is not limited to one or more of battery devices, cloud devices, edge computing devices, relay devices, base station devices, urban management devices, and intelligent network devices, which are not limited in the embodiment of the present invention. Figure 4 As shown, the reactive compensation early warning control device based on multi-dimensional parameter fusion analysis may include:

[0150] An acquisition module 301 is configured to acquire first multi-dimensional state parameters of the reactor within a preset range, where the first multi-dimensional state parameters include second multi-dimensional state parameters of the reactor and third multi-dimensional state parameters of each branch in the target control loop;

[0151] A matching module 302 is configured to match each dimensional state parameter in the first multi-dimensional state parameter with a first analysis algorithm for the dimensional state parameter;

[0152] A calculation module 303 is configured to calculate a target analysis parameter of the dimensional state parameter according to a first analysis algorithm;

[0153] A judgment module 304 is used to judge whether the target analysis parameter is greater than or equal to a preset analysis threshold parameter corresponding to the target analysis parameter;

[0154] The generation module 305 is used to generate early warning control parameters for the target control unit corresponding to the target analysis parameters according to the target analysis parameters when the judgment result of the judgment module 304 is yes. The early warning control parameters are used to perform matching early warning control operations on the target control unit. The early warning control operations include at least one of harmonic voltage protection control operations, harmonic current protection control operations, resonance protection control operations, grid overvoltage protection control operations, capacitor overvoltage protection control operations, and capacitance loss early warning control operations.

[0155] It can be seen that the implementation of the present invention can match the first analysis algorithm of each dimensional state parameter according to the first multidimensional state parameter of the second multidimensional state parameter of the reactor and the third multidimensional state parameter of each branch in the target control loop corresponding to the reactor within the preset range of the collected reactor, so as to specifically calculate the target analysis parameter of the dimensional state parameter, and when it is judged that the target analysis parameter is greater than or equal to the preset analysis threshold parameter corresponding to the target analysis parameter, generate the early warning control parameter for the target control unit corresponding to the target analysis parameter, and provide a multi-dimensional early warning control operation. Compared with the existing technology, it can not only improve the performance of the reactor and the reactance by matching the analysis algorithm, but also From the perspective of comprehensiveness and accuracy of the analysis of multi-dimensional state parameters of each branch in the target control loop corresponding to the device, the accuracy and comprehensiveness of the reactive compensation early warning control of the reactor can be improved. By integrating and applying the above technical solutions in the reactor, the processing efficiency of the reactive compensation early warning analysis and control of the reactor can be improved, and the production application risks caused by inaccurate, incomplete and untimely local judgments can be reduced. Moreover, for each dimensional state parameter, the accuracy, comprehensiveness and efficiency of the reactive compensation early warning control of the reactor can be further improved based on the corresponding preset analysis threshold parameters, the performance of the dimensional state parameters themselves, harmonics, impedance, device performance, physical characteristic changes, etc.

[0156] In an embodiment of the present invention, as an optional implementation manner, the second multidimensional state parameter includes voltage state parameters at the input and output ends of the reactor. For the voltage state parameter of the second multidimensional state parameter, the first analysis algorithm includes a target conversion algorithm and a second analysis algorithm. In addition, the calculation module 303 calculates the target analysis parameter of the dimensional state parameter according to the first analysis algorithm. The specific method includes:

[0157] For each voltage state parameter, converting the voltage state parameter into a target level parameter of the voltage state parameter according to a target conversion algorithm;

[0158] Calculate the target harmonic parameters of the voltage state parameters according to the target series parameters;

[0159] Calculate, according to the second analysis algorithm, multi-dimensional target value parameters for each target harmonic parameter, the multi-dimensional target value parameters being used to indicate the degree of influence of the corresponding target harmonic parameter on the target control loop, the multi-dimensional target value parameters including a voltage target value parameter and a current target value parameter;

[0160] Calculate the capacitance deviation parameters of the capacitor based on all multi-dimensional target values;

[0161] The voltage state parameter, the multi-dimensional target value parameter and the capacitance deviation parameter are determined as target analysis parameters of the voltage state parameter.

[0162] It can be seen that the implementation of this optional embodiment can, when the dimensional state parameters are the voltage state parameters of the input and output ends of the above-mentioned reactor, for each voltage state parameter, convert the voltage state parameter into the target level parameter of the voltage state parameter according to the matched target conversion algorithm; calculate the target harmonic parameters of the voltage state parameter according to the target level parameter; thereby utilizing the target harmonic parameters of the voltage state parameter and the second analysis algorithm to calculate the multi-dimensional target value parameters used to represent the degree of influence of the corresponding order target harmonic parameters on the target control loop and at least including the voltage target value parameter and the current target value parameter, and further calculate the capacitance deviation parameter of the capacitor, thereby improving the accuracy and comprehensiveness of the reactive compensation early warning analysis of the integrated reactor, which is beneficial to improving the accuracy, comprehensiveness and efficiency of the reactive compensation early warning control of the reactor from the perspective of improving the comprehensiveness and accuracy of the analysis of the multi-dimensional state parameters of the reactor and each branch in the target control loop corresponding to the reactor.

[0163] In this optional embodiment, as an optional implementation manner, for each voltage state parameter, the calculation module 303 converts the voltage state parameter into the target level parameter of the voltage state parameter according to the target conversion algorithm in a specific manner including:

[0164] Determine a type parameter of the voltage state parameter, where the type parameter is used to indicate whether the voltage state parameter is a continuous state parameter or a discrete state parameter;

[0165] Correct the target conversion algorithm based on the type parameter;

[0166] According to the corrected target conversion algorithm, the voltage state parameter is converted into a target series parameter of the voltage state parameter, the target series parameter including a first parameter and a second parameter, the first parameter being used to represent the intensity of the change of the voltage state parameter, and the second parameter being used to represent the direction and time state of the change of the voltage state parameter.

[0167] It can be seen that the implementation of this optional embodiment can further correct the target conversion algorithm by determining the type parameter of the voltage state parameter, so that according to the corrected target conversion algorithm, the voltage state parameter is converted into a target series parameter of the voltage state parameter including a first parameter for indicating the intensity of the change of the voltage state parameter and a second parameter for indicating the direction of change and the time state of the voltage state parameter, which is beneficial to further improve the comprehensiveness and accuracy of the analysis of the dimensional state parameters, improve the accuracy and comprehensiveness of the reactive compensation early warning control of the reactor, and improve the intelligence level of the reactor and the degree of embedded convenient application.

[0168] In this optional embodiment, as another optional implementation, each target harmonic parameter of the above-mentioned voltage state parameter is calculated by a first formula, which is:

[0169] ;

[0170] ;

[0171]

[0172] ;

[0173] in, and Used to represent the nth target harmonic parameter, Used to represent the target series parameter, That is =n when the target series parameter is Used to indicate the total number of harmonics, Used to indicate The real part of Used to indicate The imaginary part of Discrete data points used to represent voltage state parameters, Used to indicate the fundamental angular frequency.

[0174] It can be seen that the implementation of this optional embodiment can further improve the calculation accuracy and flexibility of the target harmonic parameters through the first formula, improve the parameter acquisition flexibility of the integrated inductor, and the parameter analysis and processing flexibility, which is beneficial to improving the flexibility, accuracy, comprehensiveness and efficiency of the reactive compensation early warning control of the inductor, and is beneficial to improving the level of production safety.

[0175] In this optional embodiment, as another optional implementation manner, the above voltage target value parameter is calculated by a second formula, and the second formula is:

[0176] ;

[0177] in, The voltage target value parameter used to represent the nth target harmonic parameter, Used to indicate the preset first weight.

[0178] It can be seen that implementing this optional embodiment can improve the feasibility and accuracy of the analysis of the voltage target value based on the second formula, which is beneficial to improving the accuracy of the reactive compensation warning analysis and control of the reactor.

[0179] In this optional embodiment, as an optional implementation manner, the above-mentioned current target value parameter is calculated by a third formula, and the third formula is:

[0180] ;

[0181] ;

[0182] in, The current target value parameter used to represent the nth target harmonic parameter, Used to indicate the preset second weight, Used to indicate the harmonic order, Used to represent the first preset inductance value, Used to indicate the The inductive reactance value of the sub-target harmonic parameter.

[0183] It can be seen that implementing this optional embodiment can improve the feasibility and accuracy of the analysis of the current target value based on the third formula, which is conducive to further improving the accuracy of reactive compensation warning analysis and control of the reactor.

[0184] In this optional embodiment, as another optional implementation, the above-mentioned capacitance deviation parameter is calculated by a fourth formula, which is:

[0185] ;

[0186] in, Used to indicate the capacitance deviation parameter. Used to indicate the preset capacitance value, Used to indicate the fundamental voltage target value at the input end of the reactor. Used to indicate the fundamental voltage target value at the output end of the reactor. Used to indicate the fundamental angular frequency, Used to indicate the second preset inductance value.

[0187] It can be seen that the implementation of the embodiment of the present invention can further analyze the capacitance deviation parameter of the capacitor in the target control loop based on the fourth formula, thereby helping to improve the accuracy of the reactive compensation warning analysis of the reactor and further improve the comprehensiveness of the reactive compensation warning analysis of the reactor. It is beneficial to provide capacitor overvoltage protection control and capacitance loss warning control on the basis of providing at least one warning protection control such as harmonic voltage protection control operation, harmonic current protection control operation, resonance protection control operation, and grid overvoltage protection control operation for the power system. Based on the performance of the state parameters of each dimension themselves, harmonics, impedance, device performance, physical characteristic changes, etc., the accuracy, comprehensiveness and efficiency of the reactive compensation warning control of the reactor are further improved.

[0188] Example 3

[0189] See also Figure 5 , Figure 5 It is a structural diagram of another reactive compensation early warning control device based on multi-dimensional parameter fusion analysis disclosed in an embodiment of the present invention. Among them, the reactive compensation early warning control device based on multi-dimensional parameter fusion analysis can be applied to reactors, and can also be applied to intelligent devices related to reactors, wherein the above-mentioned reactor is electrically connected to the target control loop, and the target control loop includes a capacitor. The intelligent device includes but is not limited to one or more of battery devices, cloud devices, edge computing devices, relay devices, base station devices, urban management devices, and intelligent network devices, and the embodiments of the present invention do not limit it. Figure 5 As shown, the reactive compensation early warning control device based on multi-dimensional parameter fusion analysis may include:

[0190] The memory 401 stores executable program codes.

[0191] A processor 402 is coupled to the memory 401 .

[0192] The processor 402 calls the executable program code stored in the memory 401 to execute the steps of the reactive compensation early warning control method based on multi-dimensional parameter fusion analysis described in the first embodiment of the present invention or the second embodiment of the present invention.

[0193] Example 4

[0194] An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps of the reactive compensation early warning control method based on multi-dimensional parameter fusion analysis described in Example 1 or Example 2 of the present invention.

[0195] Example 5

[0196] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps of the reactive compensation early warning control method based on multi-dimensional parameter fusion analysis described in Example 1 or Example 2.

[0197] The device embodiments described above are merely illustrative, wherein the modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, i.e., they may be located in one place or distributed across multiple network modules. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Those skilled in the art can understand and implement the present invention without inventive effort.

[0198] Through the detailed description of the above embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, or of course, by means of hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM), or other optical disk storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0199] Finally, it should be noted that the reactive compensation early warning control method and device based on multi-dimensional parameter fusion analysis disclosed in the embodiment of the present invention is only a preferred embodiment of the present invention, which is only used to illustrate the technical solution of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the aforementioned embodiments, ordinary technicians in this field should understand that it is still possible to modify the technical solutions recorded in the aforementioned embodiments, or to make equivalent replacements for some of the technical features therein; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A reactive power compensation early warning control method based on multi-dimensional parameter fusion analysis, characterized in that: The method is applied to a reactor, the reactor being electrically connected to a target control loop, the target control loop including a capacitor, and the method comprising: Collecting first multi-dimensional state parameters of the reactor within a preset range, where the first multi-dimensional state parameters include second multi-dimensional state parameters of the reactor and third multi-dimensional state parameters of each branch in a target control loop; For each dimensional state parameter in the first multi-dimensional state parameters, matching the first analysis algorithm of the dimensional state parameter; calculating the target analysis parameter of the dimensional state parameter according to the first analysis algorithm; Determine whether the target analysis parameter is greater than or equal to a preset analysis threshold parameter corresponding to the target analysis parameter. When the judgment result is yes, generate a warning control parameter for the target control unit corresponding to the target analysis parameter based on the target analysis parameter, and the warning control parameter is used to perform a matching warning control operation on the target control unit, and the warning control operation includes at least one of a harmonic voltage protection control operation, a harmonic current protection control operation, a resonance protection control operation, a grid overvoltage protection control operation, a capacitor overvoltage protection control operation, and a capacitance loss warning control operation; Furthermore, the second multidimensional state parameter includes voltage state parameters at the input and output ends of the reactor. In the target control loop, the third multidimensional state parameter of each branch includes basic physical quantity parameters and directly controlled quantity parameters, the basic physical quantity parameters include temperature physical quantity parameters and / or pressure physical quantity parameters, and the directly controlled quantity parameters include setting parameters and / or deviation parameters. For the voltage state parameter of the second multidimensional state parameter, the first analysis algorithm includes a target conversion algorithm and a second analysis algorithm, and calculating the target analysis parameter of the dimensional state parameter according to the first analysis algorithm includes: For each of the voltage state parameters, converting the voltage state parameter into a target level parameter of the voltage state parameter according to the target conversion algorithm; Calculating target harmonic parameters of the voltage state parameter according to the target series parameter; Calculating, according to the second analysis algorithm, multidimensional target value parameters of the target harmonic parameters of each order, the multidimensional target value parameters being used to indicate the degree of influence of the target harmonic parameters of the corresponding order on the target control loop, the multidimensional target value parameters including a voltage target value parameter and a current target value parameter; Calculating a capacitance deviation parameter of the capacitor according to all the multi-dimensional target values; Determining the voltage state parameter, the multi-dimensional target value parameter, and the capacitance deviation parameter as target analysis parameters of the voltage state parameter; Furthermore, the voltage target value parameter is calculated using a second formula, which is: ； in, The voltage target value parameter used to represent the nth target harmonic parameter, Used to indicate the preset first weight, and Used to represent the nth target harmonic parameter; Furthermore, the current target value parameter is calculated by a third formula, which is: ； ； in, The current target value parameter used to represent the nth target harmonic parameter, Used to indicate the preset second weight, Used to indicate the harmonic order, Used to represent the first preset inductance value, Used to indicate the the inductive reactance value of the target harmonic parameter; Furthermore, the capacitance deviation parameter is calculated using the fourth formula, which is: ； in, Used to indicate the capacitance deviation parameter. Used to indicate the preset capacitance value, It is used to indicate the target value of the fundamental voltage at the input end of the reactor. It is used to indicate the target value of the fundamental voltage at the output end of the reactor. Used to indicate the fundamental angular frequency, Used to indicate the second preset inductance value.

2. The reactive power compensation early warning control method based on multi-dimensional parameter fusion analysis according to claim 1 is characterized in that: For each of the voltage state parameters, converting the voltage state parameter into a target level parameter of the voltage state parameter according to the target conversion algorithm includes: determining a type parameter of the voltage state parameter, where the type parameter is used to indicate whether the voltage state parameter is a continuous state parameter or a discrete state parameter; Correcting the target conversion algorithm according to the type parameter; According to the corrected target conversion algorithm, the voltage state parameter is converted into a target series parameter of the voltage state parameter, wherein the target series parameter includes a first parameter and a second parameter, wherein the first parameter is used to represent the intensity of the change of the voltage state parameter, and the second parameter is used to represent the direction and time state of the change of the voltage state parameter.

3. The reactive power compensation early warning control method based on multi-dimensional parameter fusion analysis according to claim 2 is characterized in that: The target harmonic parameters of each order of the voltage state parameter are calculated using a first formula, which is: ； ； ； in, is used to represent the target series parameter, That is =n, the target series parameter, Used to indicate the total number of harmonics, Used to indicate The real part of Used to indicate The imaginary part of discrete data points representing the voltage state parameters, Used to indicate the fundamental angular frequency.

4. A reactive compensation early warning control device based on multi-dimensional parameter fusion analysis, characterized in that: The device is used to execute the reactive compensation early warning control method based on multi-dimensional parameter fusion analysis according to any one of claims 1 to 3, and the device is applied to a reactor, the reactor is electrically connected to a target control loop, the target control loop includes a capacitor, and the device includes: an acquisition module, configured to acquire first multi-dimensional state parameters of the reactor within a preset range, wherein the first multi-dimensional state parameters include second multi-dimensional state parameters of the reactor and third multi-dimensional state parameters of each branch in a target control loop; a matching module, configured to match each dimensional state parameter in the first multi-dimensional state parameter with a first analysis algorithm for the dimensional state parameter; a calculation module, configured to calculate a target analysis parameter of the dimensional state parameter according to the first analysis algorithm; A judgment module, configured to judge whether the target analysis parameter is greater than or equal to a preset analysis threshold parameter corresponding to the target analysis parameter; A generation module is used to generate, when the judgment result of the judgment module is yes, early warning control parameters for the target control unit corresponding to the target analysis parameters according to the target analysis parameters, and the early warning control parameters are used to perform matching early warning control operations on the target control unit, and the early warning control operations include at least one of harmonic voltage protection control operations, harmonic current protection control operations, resonance protection control operations, grid overvoltage protection control operations, capacitor overvoltage protection control operations, and capacitance loss early warning control operations.

5. A reactive compensation early warning control device based on multi-dimensional parameter fusion analysis, characterized in that: The device comprises: a memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the reactive compensation early warning control method based on multi-dimensional parameter fusion analysis as described in any one of claims 1 to 3.

6. A computer storage medium, characterized in that The computer storage medium stores computer instructions, which, when called, are used to execute the reactive compensation early warning control method based on multi-dimensional parameter fusion analysis as described in any one of claims 1 to 3.

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