Alternating current ice melting control method, system and device and storage medium

Abstract

The invention relates to the technical field of ice melting, and discloses an alternating current ice melting control method, system and device and a storage medium. The method comprises the following steps: respectively analyzing the ice melting time and the alternating current ice melting current by constructing different matching models, so that the analysis precision of the ice melting time and the alternating current ice melting current is effectively improved; line parameter error influence analysis and meteorological condition influence analysis are carried out on the ice melting parameters of the ice melting distribution transformer, so that the determined output gear parameters better conform to the actual situation; adjusting the parameters of the initial output gear according to the simulation analysis result, enabling the finally obtained target output gear parameters to be more accurate, and controlling the multifunctional ice melting distribution transformer to perform ice melting treatment on the to-be-ice-melted area according to the target output gear parameters in combination with the on-off states of different switches controlled according to the preset sequence. According to the invention, the ice melting effect of the distribution network line can be effectively improved while high-efficiency ice melting of the distribution network line is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of ice melting, and particularly to an AC ice melting control method and system. Background Art

[0002] The icing problem on distribution network lines is a major hidden danger to the safe operation of power systems. Icing will increase the weight of the conductors, cause the conductors to sag, and even lead to serious accidents such as short circuits and collapses. Therefore, timely ice melting of distribution network lines is particularly important.

[0003] Currently, the ice melting treatment usually arranges relevant personnel to use ice melting devices to perform ice melting operations on site. However, this method is too dependent on the professional qualities of relevant personnel, making it difficult to ensure the reliability and timeliness of ice melting of distribution network lines, and unable to effectively improve the ice melting efficiency of distribution network lines. At the same time, it will also pose certain risks to relevant personnel during the ice melting process. In this regard, some enterprises will introduce relevant data analysis in the control system to determine the output gear parameters. However, at present, there is no sufficiently comprehensive and accurate analysis logic for output gear parameters. Most of the analysis processes for output gear parameters are relatively simple, relying only on static threshold determination or empirical regulation, and unable to effectively improve the accuracy of the analysis of output gear parameters of multi-functional ice melting distribution transformers, and unable to accurately meet the ice melting requirements of the lines, resulting in poor ice melting effects for distribution network lines. Therefore, how to effectively improve the accuracy of the analysis of output gear parameters of multi-functional ice melting distribution transformers is a problem to be solved. Summary of the Invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is: how to analyze the ice melting time and AC ice melting current respectively by constructing different matching models, and solve the problem that the existing ice melting data analysis method cannot effectively improve the accuracy of the analysis of output gear parameters of multi-functional ice melting distribution transformers and the problem of inaccurate regulation of the output gear requirements of transformers.

[0006] To solve the above technical problem, the present invention provides the following technical solutions: In the first aspect, the present invention provides an AC ice melting control method, including: obtaining the regional range data of the area to be ice melted in the distribution network line; Analyzing the regional range data to obtain the target ice melting time and the target AC ice melting current; Analyzing the influence of line parameter errors and meteorological conditions on the ice melting parameters of the ice melting distribution transformer to obtain the line parameter error influence data and the meteorological condition data; Analyze the output gear parameters of the ice-melting distribution transformer based on the regional range data, target ice-melting time, target AC ice-melting current, data on the influence of line parameter errors, and meteorological condition data to obtain the parameter requirement data for the initial output gear; Simulate and adjust the parameter requirement data for the initial output gear to obtain the target output gear parameters; Control the states of different switches in a preset order based on the target output gear parameters, so that the multifunctional ice-melting distribution transformer performs ice-melting treatment on the area to be ice-melted.

[0007] As a preferred solution of an AC ice-melting control method described in the present invention, wherein: analyzing the regional range data to obtain the target ice-melting time and the target AC ice-melting current includes: Obtain the historical impedance parameters, historical icing area data, historical ice-melting time, and historical AC ice-melting current of the area to be ice-melted in the distribution network line; Set the first set of variable coefficients based on the historical impedance parameters, historical icing area data, and historical ice-melting time, and generate the first matching model; Analyze the ice-melting time based on the first matching model through the target impedance parameters and the preprocessed regional range data to obtain the target ice-melting time; Set the second set of variable coefficients based on the historical impedance parameters, historical icing area data, and historical AC ice-melting current, and generate the second matching model; Analyze the AC ice-melting current based on the second matching model through the target impedance parameters and the preprocessed regional range data to obtain the target AC ice-melting current.

[0008] The beneficial effect of this preferred technical solution is that by combining historical data-driven and decoupled modeling strategies, while ensuring the accuracy of ice-melting control, it can improve real-time performance, safety, and deployability.

[0009] As a preferred solution of an AC ice-melting control method described in the present invention, wherein: analyzing the influence of line parameter errors and meteorological conditions on the ice-melting parameters of the ice-melting distribution transformer to obtain the data on the influence of line parameter errors and meteorological condition data includes: Analyze the influence of line parameter errors on the ice-melting parameters of the ice-melting distribution transformer through the AC impedance and line specification material parameters of the distribution network line in the area to be ice-melted, and generate the data on the influence of line parameter errors; Analyze the influence of ice-melting time through the meteorological data in the area to be ice-melted using the coupled physical field model to obtain the analysis data on the influence of ice-melting time; Perform icing growth analysis through the meteorological data in the area to be ice-melted to obtain the icing growth analysis data; Generate meteorological condition data by combining the ice melting time impact analysis data and the ice accretion growth analysis data.

[0010] The beneficial effects of this preferred technical solution are as follows: By analyzing the line parameter errors, quantify the impact of equipment errors on the ice melting current / voltage, and avoid the overload risk caused by line aging or measurement deviation; Use the physical field model to dynamically predict the ice melting time and the ice accretion growth trend, and real-time correct the impact of environmental factors on the heat conduction efficiency, fuse the time and ice accretion data, and generate comprehensive meteorological condition parameters to provide a dynamic and accurate environmental benchmark for subsequent gear adjustment.

[0011] As a preferred solution of an AC ice melting control method according to the present invention, wherein: the parameter requirement data for obtaining the initial output gear includes: Based on the preprocessed regional range data, the target ice melting time, and the target AC ice melting current, output the initial ice melting voltage through the ice melting voltage calculation model; The ice melting voltage calculation model performs a correlation analysis of the ice melting voltage based on the historical regional range data, the historical ice melting time, and the historical AC ice melting current; Perform iterative solution on the correlation analysis to obtain the calculation process variables and calculation results of the regional range data, the ice melting time, and the AC ice melting current for the ice melting voltage, so as to constitute the ice melting voltage calculation model.

[0012] As a preferred solution of an AC ice melting control method according to the present invention, wherein: the parameter requirement data for obtaining the initial output gear further includes: After obtaining the initial ice melting voltage, perform matching of the adjustment coefficients of the ice melting voltage and the ice melting current based on the line parameter error impact data and the meteorological condition data to obtain the corresponding adjustment coefficients; Based on the adjustment coefficients, the initial ice melting voltage, and the target AC ice melting current, perform an analysis of the current-voltage requirements of the output gear parameters of the ice melting distribution transformer to obtain the parameter requirement data for the initial output gear.

[0013] As a preferred solution of an AC ice melting control method according to the present invention, wherein: simulating the parameter requirement data for the initial output gear includes: Based on the parameter requirement data for the initial output gear and the meteorological data at the area to be ice melted, perform a simulation analysis of the operating states of multiple ice melting distribution transformers in the power supply and ice melting states and a simulation analysis of the ice melting process to obtain the operating simulation results and the ice melting simulation results; Based on the parameter requirement data for the initial output gear, perform a simulation analysis of the temperature rise situation in the area to be ice melted and the relationship between the ice melting voltage and the current to obtain the heat generation effect data.

[0014] As a preferred solution of an AC ice melting control method according to the present invention, wherein: the adjustment to obtain the target output gear parameters includes: Analyze the obtained simulation feedback data through evaluation values to obtain the adjustment method of the initial output gear; Input the obtained simulation feedback data into a deep learning algorithm for analysis, and output the adjustment range of the parameter requirements of the initial output gear; Adjust based on the adjustment method and adjustment range to obtain the target output gear parameters.

[0015] In a second aspect, the present invention provides an AC ice melting control system, including: An acquisition module for acquiring the regional range data of the area to be de-iced in the distribution network line; A first analysis module for analyzing the regional range data to obtain the target ice melting time and the target AC ice melting current; A second analysis module for analyzing the influence of line parameter errors and meteorological conditions on the ice melting parameters of the ice melting distribution transformer to obtain line parameter error influence data and meteorological condition data; A third analysis module for analyzing the output gear parameters of the ice melting distribution transformer based on the regional range data, the target ice melting time, the target AC ice melting current, the line parameter error influence data and the meteorological condition data to obtain the parameter requirement data of the initial output gear; A simulation module for simulating the parameter requirement data of the initial output gear and adjusting to obtain the target output gear parameters; A control module for controlling different switch states in a preset order based on the target output gear parameters, so that the multi-functional ice melting distribution transformer performs ice melting treatment on the area to be de-iced.

[0016] In a third aspect, the present invention provides a computer device, including: A memory and a processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the AC ice melting control method are implemented.

[0017] In a fourth aspect, the present invention provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are executed by a processor, the steps of the AC ice melting control method are implemented.

[0018] Compared with the prior art, the beneficial effects of the present invention are as follows: By constructing different matching models to analyze the ice melting time and the AC ice melting current respectively, the present invention can effectively improve the analysis accuracy of the ice melting time and the AC ice melting current; By analyzing the influence of line parameter errors and meteorological conditions on the ice melting parameters of the ice melting distribution transformer, the determined output gear parameters can be made more in line with the actual situation; According to the simulation analysis results, the parameters of the initial output gear are adjusted to make the finally obtained target output gear parameters more accurate. According to the target output gear parameters and the switching states of different switches controlled in a preset order, the multi-functional ice melting distribution transformer is controlled to perform ice melting treatment on the area to be ice melted, which can ensure the high-efficiency ice melting of the distribution network line while effectively improving the ice melting effect of the distribution network line. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0020] Figure 1 It is a schematic diagram of the overall process of an AC ice melting control method according to an embodiment of the present invention.

[0021] Figure 2 It is a schematic diagram of the hardware structure applied to an AC ice melting control method according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] In order to make the above objects, features and advantages of the present invention more obvious and understandable, the following will make a detailed description of the specific embodiments of the present invention with reference to the drawings of the specification. Obviously, the described embodiments are some embodiments of the present invention, rather than all embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0023] Embodiment 1, referring to Figure 1 which is an embodiment of the present invention, providing an AC ice melting control method, including: S100: Obtain the area range data of the area to be ice melted in the distribution network line; S200: Analyze the area range data to obtain the target ice melting time and the target AC ice melting current; S300: Analyze the influence of line parameter errors and meteorological conditions on the ice melting parameters of the ice melting distribution transformer to obtain the influence data of line parameter errors and the meteorological condition data; S400: Analyze the output gear parameters of the ice-melting distribution transformer based on the regional range data, target ice-melting time, target AC ice-melting current, data on the influence of line parameter errors, and meteorological condition data to obtain the parameter requirement data for the initial output gear; S500: Simulate and adjust the parameter requirement data for the initial output gear to obtain the target output gear parameters; S600: Control different switch states in a preset order based on the target output gear parameters, so that the multi-functional ice-melting distribution transformer performs ice-melting treatment on the area to be ice-melted.

[0024] It should be noted that the current simplistic approach to analyzing the output gear parameters of the multi-functional ice-melting distribution transformer is mainly manifested in that most use single-variable analysis. Most systems only use the ambient temperature as the core input variable to calculate the output gear, ignoring other variables; or, use a fixed threshold table for gear matching, which will result in the same gear being used for the same ice thickness but different line types; or rely on the experience of maintenance personnel or only monitor the current and voltage on the output side of the transformer, without combining the line impedance distribution characteristics, which will cause the actual ice-melting current to deviate greatly from the theoretical value.

[0025] Therefore, in view of the above specific existing problems, the steps of S100 - S600 are applied to the controller and the multi-functional ice-melting distribution transformer, and the controller is communicatively connected to the multi-functional ice-melting distribution transformer; the specific method is to fuse the line parameter errors and meteorological parameters through the controller, and perform coupling analysis, and through dynamic correction and simulation optimization of the line impedance, realize the output of gear parameters that accurately match the ice-melting requirements of the line, and solve the problems of traditional methods relying on manual experience, single parameter analysis, and lagging adjustment.

[0026] Example 2, refer to Figure 1 , which is an embodiment of the present invention. Based on the above embodiment, an AC ice-melting control method is provided.

[0027] In the embodiment of the present invention, the regional range data of the area to be ice-melted in the distribution network line obtained in step S100 includes: ice thickness, ice-covered distance, and ice type; and, perform data cleaning processing and data integration processing on the regional range data to obtain the preprocessed regional range data.

[0028] In an alternative embodiment, the regional range data in step S100 can be input by relevant personnel or directly retrieved from the database; among them, the ice type can include soft rime, glaze, and hard rime.

[0029] In another alternative embodiment, the regional range data in step S100 may further include the ice volume. Specifically, the ice volume can be expressed as: , where, is the icing volume, is the icing thickness, is the icing distance.

[0030] Exemplarily, the preprocessing method of the above data may be: obtaining the abnormal rules of monomer data and the abnormal rules of global data, identifying the regional range data according to the abnormal rules of monomer data and the abnormal rules of global data to obtain the identified regional range data, and the identified regional range data can be subjected to cleaning processing of abnormal characters through a preset binary tree algorithm to obtain the regional range data after data cleaning processing. Perform data integration processing on the regional range data after data cleaning processing, select each data element to be processed that needs to be subjected to data integration processing from the regional range data after data cleaning processing, perform pairing processing on each data element to be processed to obtain the matching relationship between each data element to be processed, and generate a data relationship diagram according to the matching relationship using a preset topological graph. Perform data integration processing on the regional range data after data cleaning processing according to the data relationship diagram, which can improve the efficiency of data integration. After completing the data integration processing, the preprocessing of the regional range data is completed, that is: obtaining the preprocessed regional range data.

[0031] In the embodiment of the present invention, in step S200, analyzing the regional range data to obtain the target de-icing time and the target AC de-icing current includes the following steps A1-A5: A1: Obtain the historical impedance parameters, historical icing area data, historical de-icing time, and historical AC de-icing current of the area to be de-iced in the distribution network line; It should be noted that the line widths and node thicknesses in the area to be de-iced are different, and their historical impedance parameters are different; the historical icing area data includes the icing distance, icing thickness, and icing type of the historical area to be de-iced; the historical de-icing time includes the de-icing time corresponding to different historical icing area data; the historical AC de-icing current includes the AC de-icing current corresponding to different historical icing area data.

[0032] A2: Set the first set of variable coefficients based on the historical impedance parameters, historical icing area data, and historical de-icing time to generate the first matching model; Specifically, the first matching model is based on historical de-icing data, with the de-icing time as the target variable, and the impedance parameters of the de-icing area , icing distance , icing thickness and icing type as independent variables, and is established by least squares fitting, that is, analyzed through a linear regression statistical model. The model can be expressed as: , where, is the intercept term; , and are the coefficients of continuous variables; is the coefficient of the icing type dummy variable; is the error term (subject to normal distribution), is the icing type total number of categories.

[0033] In an alternative embodiment, in step A2, considering the characteristic data points and avoiding overfitting, a random forest model can be used to evaluate the mean squared error and the coefficient of determination of the above linear regression model, which can be expressed as: , , where, is the ice melting time of the th historical data point; is the predicted value of the ice melting time; is the mean value of the ice melting time of historical data; is historical data points.

[0034] A3: Based on the first matching model, analyze the ice melting time through the target impedance parameter and the preprocessed regional range data to obtain the target ice melting time; Specifically, input the target impedance parameter and the preprocessed regional range data into the first matching model for matching analysis of the ice melting time to obtain the target ice melting time.

[0035] A4: Set the second set of variable coefficients based on the historical impedance parameter, historical icing area data, and historical AC ice melting current to generate the second matching model; Specifically, the second matching model is based on historical ice melting data, with the ice melting current as the target variable, and the impedance parameter of the ice melting area, icing distance , icing thickness and icing type as independent variables, and is established by least squares fitting, that is, analyzed through a linear regression statistical model. The model can be expressed as: , where, is the intercept term; , and are the coefficients of continuous variables; is the coefficient of the icing type dummy variable; is the error term (subject to a normal distribution)

[0036] In an alternative embodiment, in step A4, similar to the alternative of A2, considering the feature data points to avoid overfitting, a random forest model can be used to evaluate the mean square error of the linearity of the above second matching model and the coefficient of determination , which can be expressed as: , , where is the de-icing current of the th historical data point; is the predicted value of the de-icing current; is the mean value of the de-icing current of the historical data.

[0037] A5: Based on the second matching model, analyze the AC de-icing current through the target impedance parameter and the preprocessed regional range data to obtain the target AC de-icing current.

[0038] Specifically, input the target impedance parameter and the preprocessed regional range data into the second matching model for matching analysis of the AC de-icing current, and the target AC de-icing current can be obtained.

[0039] In an alternative embodiment, in step S200, when analyzing the regional range data, if the wire resistance is fixed, the relationship between the de-icing time and the de-icing current can also be deduced and analyzed through a preset circular icing model, and the expression is: , where is the icing volume, is the de-icing time, is the de-icing current, is the wire resistance, and the relationship between time and current can be calculated by the enumeration method. When the de-icing time is less than the preset de-icing time according to the requirements, it is the preferred de-icing time and de-icing current.

[0040] In the embodiment of the present invention, in step S300, analyze the influence of line parameter errors and meteorological conditions on the de-icing parameters of the de-icing distribution transformer to obtain the line parameter error influence data and meteorological condition data, including the following steps B1 - B4: B1: Analyze the influence of line parameter errors on the de-icing parameters of the de-icing distribution transformer through the AC impedance and line specification material parameters of the distribution network line in the area to be de-iced, and generate line parameter error influence data; It should be noted that the analysis of the influence of line parameter errors, that is, analyzing the influence of the AC impedance and line specification material parameters on the ice melting parameters of the multi-functional ice melting distribution transformer, and analyzing the errors caused by these parameters on the ice melting treatment, the influence data of line parameter errors can be obtained.

[0041] Specifically, the line specification material parameters include the conductor resistivity , the conductor cross-sectional area , the length ; the AC impedance is expressed as ; the analysis formula can be expressed as: , , where is the temperature coefficient of the conductor material; is the line temperature rise; , , are the errors of each parameter; is the error of the output ice melting parameters, such as the errors of ice melting time, ice melting current, etc.; is the ice melting parameter with respect to the partial derivative of the AC impedance , indicating changing with the rate of change; is the ice melting parameter with respect to the partial derivative of the conductor resistivity , indicating changing with the rate of change; is the ice melting parameter with respect to the partial derivative of the conductor cross-sectional area , indicating changing with the rate of change.

[0042] By decomposing the variances of each parameter through the Sobol index method and calculating the sensitivity index of each parameter, the comprehensive influence of line parameter errors on the ice melting parameters can be quantitatively evaluated, which can be expressed as: , , where is the total variance; is the AC impedance , the conductor resistivity , the conductor cross-sectional area and other parameter independent variance contributions, which refer to the variance of the model output caused by the independent change of a single parameter. For example, by separately changing the value of the AC impedance , the ice melting parameter error can be calculated A set of sample data, and the variance of the sample data is solved to obtain the AC impedance Independent variance contribution; Represents the total number of independent parameters in the model; Is the variance contribution of the interaction between parameters, referring to the variance of the model output caused by the change of multiple parameters Is the variance after excluding the parameters; Is the total sensitivity effect index, and the higher the value, the higher the error contribution, such as the AC impedance The total sensitivity effect index of is higher than that of the conductor resistivity The total sensitivity effect index of, then it indicates that The influence on the ice melting parameter error Is greater than The influence on Of. B2: Use the meteorological data of the area to be de-iced and analyze the influence on the de-icing time by using the coupled physical field model to obtain the de-icing time influence analysis data; Specifically, the meteorological data of the area to be de-iced can include solar irradiance, wind speed, air temperature, etc.; Specifically, the coupled physical field model can analyze the heat balance equation during line de-icing through the AC impedance of the distribution network line and the line specification material parameters, and construct the coupled physical field model through the finite element simulation software in combination with the analyzed heat balance equation; Specifically, according to the coupled physical field model and combined with the meteorological data, analyze the influence on the de-icing time in the meteorological-de-icing time relationship curve, so as to obtain the de-icing time influence analysis data.

[0043] B3: Conduct icing growth analysis through the meteorological data of the area to be de-iced to obtain icing growth analysis data; In an optional implementation manner, the icing growth analysis in step B2 can be carried out by obtaining historical meteorological data, setting the weight coefficient of the historical meteorological data, using the weight coefficient to initialize the migration network parameters, using the deep convolutional neural network model as the icing growth analysis model, and training the deep convolutional neural network model by using the gradient descent method according to the historical meteorological data and its corresponding weight coefficient to obtain the trained icing growth analysis model for carrying out icing growth analysis; Exemplarily, the icing growth analysis model can be expressed as: , , Among them, Is the weight coefficient of the historical meteorological data; Is the true value; Is the predicted value; Is the number of samples; is the updated weight coefficient; is the previous weight coefficient; is the learning rate; is the gradient of the weight coefficient loss; is the weighted mean square error loss function.

[0044] Input the meteorological data into the above ice accretion growth analysis model to analyze the ice accretion growth in the area to be de-iced, that is, analyze the ice accretion growth rate in the area to be de-iced under this meteorological data, and obtain the ice accretion growth analysis data; B4: Generate meteorological condition data by combining the de-icing time impact analysis data and the ice accretion growth analysis data.

[0045] Specifically, step B4 can perform an analysis of the impact of de-icing on ice accretion growth on the ice accretion growth analysis data obtained in B3 to obtain the analysis data of the impact of de-icing on ice accretion growth. The meteorological condition impact analysis data is composed of the analysis data of the impact of de-icing on ice accretion growth and the de-icing time impact analysis data, from which the impacts on each de-icing parameter of the multifunctional de-icing distribution transformer under this meteorological condition can be known.

[0046] In the embodiment of the present invention, the parameter requirement data of the initial output gear obtained in step S400 includes the following steps C1: C1: Output the initial de-icing voltage based on the preprocessed regional range data, the target de-icing time, and the target AC de-icing current through the de-icing voltage calculation model; C1-1: The de-icing voltage calculation model performs a correlation analysis of the de-icing voltage based on the historical regional range data, the historical de-icing time, and the historical AC de-icing current; C1-2: Perform iterative solution on the correlation analysis to obtain the calculation process variables and calculation results of the regional range data, the de-icing time, and the AC de-icing current for the de-icing voltage, so as to constitute the de-icing voltage calculation model.

[0047] Exemplarily, the de-icing voltage calculation model can be expressed as: , , , , where is the de-icing voltage calculation output matrix; is the calculation factor matrix; is the variable matrix, including the ice accretion volume , the de-icing time and the AC de-icing current ; are respectively the ice accretion volume 、Melting time and AC melting current weight coefficients; is the total number of data samples; is the transpose operation of the matrix.

[0048] In the embodiment of the present invention, the parameter requirement data of the initial output gear obtained in step S400 further includes the following steps C2 - C3: C2: After obtaining the initial melting voltage, based on the data of the influence of line parameter errors and meteorological condition data, match the adjustment coefficients of the melting voltage and melting current to obtain the corresponding adjustment coefficients; C3: Based on the adjustment coefficients, the initial melting voltage and the target AC melting current, conduct an analysis of the current - voltage requirements of the output gear parameters of the melting distribution transformer to obtain the parameter requirement data of the initial output gear.

[0049] Exemplarily, the parameter requirement data of the initial output gear can be expressed as: , , , where, is the adjusted output melting voltage; is the initial melting voltage calculated using the melting voltage calculation model; is the adjusted output AC melting current; is the target AC melting current; is the adjustment coefficient, and the adjustment coefficient is correlated with the line parameter error influence coefficient and the meteorological condition influence coefficient .

[0050] In an alternative embodiment, if the differential pressure coefficient of the switch gear is known when obtaining the parameter requirement data of the initial output gear in step S400, the melting gear can be determined by the melting current and the wire group, and the expression of the melting gear is: , where, is the melting gear, is the wire resistance, is the melting current, is the differential pressure coefficient of the switch gear.

[0051] In the embodiment of the present invention, the simulation of the parameter requirement data of the initial output gear in step S500 includes D1 - D2: D1: Based on the parameter requirement data of the initial output gear and the meteorological data at the area to be de-iced, conduct simulation analysis on the operating states of the multi-functional de-icing distribution transformer under power supply and de-icing states and simulation analysis on the de-icing process to obtain the operating simulation results and de-icing simulation results; Specifically, step D1 can conduct simulation analysis on the operating states of the multi-functional de-icing distribution transformer under power supply and de-icing states and simulation analysis on the de-icing process through a preset simulation model. Among them, the preset simulation model is a heat conduction model used to simulate the heat conduction of the output current of the multi-functional de-icing distribution transformer to the area to be de-iced, which can be expressed as: , , Among them, is the heat generated by the transformer output current; is the density; is the specific heat capacity; represents the change rate of temperature with time; is the thermal conductivity; describes the diffusion of heat; is the volume heat source term.

[0052] Exemplarily, in step D1, input the parameter requirement data of the initial output gear and the meteorological data into the simulation software, and conduct simulation analysis on the operating states of the multi-functional de-icing distribution transformer under power supply and de-icing states and simulation analysis on the de-icing process according to the above preset simulation model. The operating state simulation analysis includes the operating state simulation analysis of the temperature fields of the iron core, winding, and box of the multi-functional de-icing distribution transformer under power supply and de-icing states to obtain the operating state simulation data. The de-icing process simulation analysis includes the simulation analysis of the de-icing time and de-icing effect of the multi-functional de-icing distribution transformer on the area to be de-iced under the parameter requirement data of the initial output gear to obtain the de-icing time and de-icing effect simulation data, that is, obtain the operating simulation results and de-icing simulation results.

[0053] D2: Based on the parameter requirement data of the initial output gear, conduct simulation analysis on the temperature rise situation, the relationship between the de-icing voltage and current in the area to be de-iced to obtain the heat generation effect data.

[0054] Specifically, the heat generation effect simulation in step D2 can be carried out through the following formula: , , Among them, is the generated heat; is the de-icing voltage; is the AC de-icing current; is the de-icing time; represents the mass of the de-icing wire; represents the specific heat capacity of the ice-melting conductor; represents the temperature rise of the ice-melting conductor.

[0055] It should be noted that in step D2, through the analysis of the relationship between the ice-melting voltage and the ice-melting current, more data support can be provided for the subsequent feedback analysis.

[0056] In the embodiment of the present invention, adjusting the target output gear parameters in step S500 includes the following steps E1 - E3: E1: Analyze the obtained simulation feedback data through an evaluation value to obtain the adjustment method of the initial output gear; Specifically, the simulation feedback data is the operation simulation result of the multi-functional ice-melting distribution transformer itself obtained by performing operation state simulation analysis in the simulation software as described above; and the ice-melting simulation result obtained by performing ice-melting process simulation analysis (i.e., ice-melting time and ice-melting effect simulation data), and the requirements for output gear parameters such as ice-melting voltage and ice-melting current can be reflected from the ice-melting effect data.

[0057] The simulation feedback data in step E1 can be analyzed through an evaluation value by setting an evaluation standard according to a preset expert rule, calculating the evaluation value for the simulation feedback data according to the evaluation standard, obtaining the corresponding evaluation value, and determining the adjustment method of the initial output gear according to the corresponding evaluation value to reflect the parameter requirement data.

[0058] E2: Input the obtained simulation feedback data into a deep learning algorithm for analysis, and output the adjustment range of the parameter requirements of the initial output gear; E3: Based on the adjustment method and the adjustment range, make adjustments to obtain the target output gear parameters.

[0059] Specifically, adjust the initial output gear and adjust the output voltage and AC ice-melting current of the adjusted output gear to obtain the target output gear parameters.

[0060] In the embodiment of the present invention, in step S600, controlling the different switch states in a preset order based on the target output gear parameters to enable the multi-functional ice-melting distribution transformer to perform ice-melting treatment on the area to be ice-melted may specifically include: F1: Set the voltage and current values of the line to be ice-melted based on the target output gear parameters to complete the ice-melting gear setting; F2: After the ice-melting gear setting is completed, the controller controls the opening and closing of the sectionalizing switch, the ice-melting switch, the short-circuit switch, and the protection switch in a preset order to form a short-circuit state; F3: In the formed short-circuit state, control the multi-functional ice-melting distribution transformer to enter the automatic ice-melting mode and perform ice-melting treatment on the area to be ice-melted according to the target output gear parameters.

[0061] Exemplarily, the multi-functional ice-melting distribution transformer sets the ice-melting voltage and current values of the line to be ice-melted according to the target output gear parameters. Then, the switch states controlled in the preset order include: 1. The sectionalizing switch is disconnected; 2. The short-circuit switch is closed; 3. The ice-melting switch is closed; 4. The protection switch is closed. Another preset order of switch states includes: 1. The sectionalizing switch is disconnected; 2. The ice-melting switch is closed; 3. The short-circuit switch is closed; 4. The protection switch is closed. The two preset orders are selected according to the actual situation. After the sectionalizing switch is disconnected, due to the closure of the ice-melting switch, the short-circuit switch, and the protection switch, a short-circuit state is formed, and the multi-functional ice-melting distribution transformer enters the automatic ice-melting mode, generating a thermal effect on the area to be ice-melted to melt the ice coating. At the same time, the multi-functional ice-melting distribution transformer can support multiple branches respectively, and each branch works separately to achieve rapid ice-melting treatment. It realizes the considerations of the multi-functional ice-melting distribution transformer in terms of automation, thermal stability, and intelligence. Since the multi-functional ice-melting distribution transformer has the functions of both a distribution transformer and an ice-melting transformer, when the total power does not exceed 2 times the rated capacity, the two functions can be used simultaneously for 2 hours. Therefore, the multi-functional ice-melting distribution transformer conducts power supply and ice-melting treatment of the area to be ice-melted simultaneously according to the output parameters in the automatic ice-melting mode, ensuring ice-melting of the line while the power supply on the distribution side of the transformer is normal. After the ice-melting is completed, the ice-melting process is exited in the following order: 1. The protection switch is disconnected; 2. The ice-melting switch is disconnected; 3. The short-circuit switch is disconnected; 4. The disconnecting switch is closed. Thus, the ice-melting exit operation is completed.

[0062] In summary, by constructing different matching models to analyze the ice-melting time and the AC ice-melting current respectively, the analysis accuracy of the ice-melting time and the AC ice-melting current can be effectively improved. Analyze the influence of line parameter errors and meteorological conditions on the ice-melting parameters of the multi-functional ice-melting distribution transformer. Considering the influence of line parameter errors and meteorological conditions on the ice-melting parameters, the determined output gear parameters are more in line with the actual situation. Analyze the demand for the output gear parameters of the multi-functional ice-melting distribution transformer through the preprocessed regional range data, target ice-melting time, target AC ice-melting current, analysis data of the influence of line parameter errors, and analysis data of meteorological conditions. And adjust the parameters of the initial output gear according to the simulation analysis results to make the finally obtained target output gear parameters more accurate. Control the multi-functional ice-melting distribution transformer to perform ice-melting treatment on the area to be ice-melted according to the target output gear parameters and the switch states of different switches controlled in the preset order, which can ensure the high-efficiency ice-melting of the distribution network line while effectively improving the ice-melting effect of the distribution network line.

[0063] Embodiment 3. The above is a schematic solution of an AC ice melting control method. It should be noted that the technical solution of the AC ice melting control system belongs to the same concept as the technical solution of the above AC ice melting control method. For the details not described in detail in the technical solution of the AC ice melting control system in this embodiment, reference can be made to the description of the technical solution of the above AC ice melting control method.

[0064] This embodiment also provides an AC ice melting control system, including: An acquisition module, configured to acquire the regional range data of the area to be de-iced in the distribution network line; A first analysis module, configured to analyze the regional range data to obtain the target ice melting time and the target AC ice melting current; A second analysis module, configured to analyze the influence of line parameter errors and meteorological conditions on the ice melting parameters of the de-icing distribution transformer to obtain the influence data of line parameter errors and meteorological condition data; A third analysis module, configured to analyze the output gear parameters of the de-icing distribution transformer based on the regional range data, the target ice melting time, the target AC ice melting current, the influence data of line parameter errors, and the meteorological condition data to obtain the parameter requirement data of the initial output gear; A simulation module, configured to simulate and adjust the parameter requirement data of the initial output gear to obtain the target output gear parameters; A control module, configured to control different switch states in a preset order based on the target output gear parameters, so that the multi-functional de-icing distribution transformer performs ice melting treatment on the area to be de-iced.

[0065] From the above description of the embodiments, those skilled in the art can clearly understand that the present invention can be implemented by means of software and necessary general-purpose hardware, and of course, it can also be implemented by hardware. For example, Figure 2 In the structural composition schematic diagram, the device includes a controller and a multi-functional de-icing distribution transformer. The controller is communicatively connected to the multi-functional de-icing distribution transformer. The device is configured to execute the AC ice melting control method in the above embodiments.

[0066] In the specific implementation process of the present invention, the controller is configured to receive the regional range data, perform data analysis based on the regional range data to determine the target output gear parameters required by the multi-functional de-icing distribution transformer, and control the opening or closing of the sectionalizing switch, the ice melting switch, the short-circuit switch, and the protection switch through the controller to implement the ice melting start operation and the ice melting exit operation. The multi-functional de-icing distribution transformer is adjusted to the required gear through the protection switch, and under the condition of maintaining normal power supply on its distribution side, heat effect is generated in the area to be de-iced to melt the ice coating.

[0067] At the same time, Figure 2The illustrated AC ice melting control device does not constitute a limitation on all components, and may include more or fewer components than shown, or combine certain components. For specific implementation details, reference may be made to the above embodiments, which will not be elaborated herein.

[0068] This embodiment also provides a computer device applicable to the situation of AC ice melting control, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the AC ice melting control method as proposed in the above embodiments.

[0069] This embodiment also provides a storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the AC ice melting control method as proposed in the above embodiments.

[0070] The storage medium proposed in this embodiment and the AC ice melting control method proposed in the above embodiments belong to the same inventive concept. Technical details not elaborated in this embodiment can be referred to the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0071] Based on such an understanding, the technical solution of the present invention, in essence or the part that contributes to the prior art, can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, read-only memory (ROM), random access memory (RAM), flash memory (FLASH), hard disk or optical disc of a computer, etc., including several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of various embodiments of the present invention.

[0072] It should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solution of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solution of the present invention, and all of them should be covered by the scope of the claims of the present invention.

Claims

1. A method for AC ice melting control, characterized in that, Including: Obtain the regional range data of the area to be de-iced in the distribution network line; Analyze the regional range data to obtain the target de-icing time and the target AC de-icing current; Conduct an analysis of the influence of line parameter errors and meteorological conditions on the de-icing parameters of the de-icing distribution transformer to obtain the influence data of line parameter errors and meteorological condition data, including: Conduct an analysis of the influence of line parameter errors on the de-icing parameters of the de-icing distribution transformer through the AC impedance and line specification material parameters of the distribution network line in the area to be de-iced, and generate the influence data of line parameter errors; The line specification material parameters include conductor resistivity, conductor cross-sectional area, length, and AC impedance; Obtain the de-icing parameter error through the analysis of the influence of line parameter errors; Based on the de-icing parameter error, calculate the sensitivity index of each line specification material parameter by the Sobol index method to obtain the influence data of line parameter errors; Conduct an analysis of the influence on the de-icing time through the meteorological data in the area to be de-iced using the coupled physical field model to obtain the analysis data of the influence on the de-icing time; The meteorological data in the area to be de-iced includes solar irradiance, wind speed, and air temperature; The coupled physical field model analyzes the heat balance equation during line de-icing through the AC impedance and line specification material parameters of the distribution network line, and constructs the coupled physical field model by combining simulations; Conduct an analysis of the influence on the de-icing time in the meteorological-de-icing time relationship curve according to the coupled physical field model combined with the meteorological data to obtain the analysis data of the influence on the de-icing time; Conduct an analysis of ice accretion growth through the meteorological data in the area to be de-iced to obtain the analysis data of ice accretion growth; The analysis of ice accretion growth sets the weight coefficient of historical meteorological data, uses the weight coefficient to initialize the migration network parameters, uses the deep convolutional neural network model as the ice accretion growth analysis model, and trains according to the historical meteorological data and the corresponding weight coefficient using the gradient descent method; Input the meteorological data into the trained ice accretion growth analysis model for analysis to obtain the analysis data of ice accretion growth; Combine the analysis data of the influence on the de-icing time and the analysis data of ice accretion growth to generate the meteorological condition data; Based on the regional range data, the target de-icing time, the target AC de-icing current, the influence data of line parameter errors, and the meteorological condition data, analyze the output gear parameters of the de-icing distribution transformer to obtain the parameter requirement data of the initial output gear; Simulate and adjust the parameter requirement data of the initial output gear to obtain the target output gear parameters; Based on the target output gear parameters, control the different switch states in the preset order so that the multifunctional de-icing distribution transformer conducts de-icing treatment on the area to be de-iced.

2. The AC ice melting control method according to claim 1, characterized in that, Analyze the regional range data to obtain the target de-icing time and the target AC de-icing current, including: Obtain the historical impedance parameters, historical ice-covered area data, historical de-icing time, and historical AC de-icing current in the area to be de-iced in the distribution network line; Set the first set of variable coefficients based on the historical impedance parameters, historical ice-covered area data, and historical de-icing time, and generate the first matching model; Based on the first matching model, conduct an analysis of the de-icing time through the target impedance parameters and the preprocessed regional range data to obtain the target de-icing time; Set a second set of variable coefficients based on the historical impedance parameters, historical icing area data, and historical AC de-icing current to generate a second matching model; Analyze the AC de-icing current based on the target impedance parameter and the preprocessed area range data through the second matching model to obtain the target AC de-icing current.

3. The AC ice melting control method according to claim 2, characterized in that, Conduct an analysis of the influence of line parameter errors and meteorological conditions on the de-icing parameters of the de-icing distribution transformer to obtain the influence data of line parameter errors and meteorological condition data, including: Conduct an analysis of the influence of line parameter errors on the de-icing parameters of the de-icing distribution transformer through the AC impedance and line specification material parameters of the distribution network line in the area to be de-iced, and generate influence data of line parameter errors; Conduct an analysis of the influence of de-icing time through the meteorological data in the area to be de-iced using a coupled physical field model to obtain the analysis data of the influence of de-icing time; Conduct an analysis of ice accretion growth through the meteorological data in the area to be de-iced to obtain the analysis data of ice accretion growth; Generate meteorological condition data by combining the analysis data of the influence of de-icing time and the analysis data of ice accretion growth.

4. The AC ice melting control method according to claim 3, characterized in that The obtained parameter requirement data for the initial output gear position includes: Based on the preprocessed area range data, target de-icing time, and target AC de-icing current, output the initial de-icing voltage through a de-icing voltage calculation model; The de-icing voltage calculation model conducts a correlation analysis of the de-icing voltage based on historical area range data, historical de-icing time, and historical AC de-icing current; Conduct iterative solutions for the correlation analysis to obtain the calculation process variables and calculation results of the area range data, de-icing time, and AC de-icing current for the de-icing voltage, so as to constitute a de-icing voltage calculation model.

5. The AC ice melting control method according to claim 4, characterized in that The obtained parameter requirement data for the initial output gear position further includes: After obtaining the initial de-icing voltage, conduct a matching of the adjustment coefficients of the de-icing voltage and de-icing current based on the influence data of line parameter errors and meteorological condition data to obtain the corresponding adjustment coefficients; Based on the adjustment coefficients, initial de-icing voltage, and target AC de-icing current, conduct an analysis of the current-voltage requirements of the output gear position parameters of the de-icing distribution transformer to obtain the parameter requirement data for the initial output gear position.

6. The AC ice melting control method according to claim 5, characterized in that, Conduct a simulation of the parameter requirement data for the initial output gear position, including: Based on the parameter requirement data for the initial output gear position and the meteorological data at the area to be de-iced, conduct a simulation analysis of the operating states of multiple de-icing distribution transformers in the power supply and de-icing states and a simulation analysis of the de-icing process to obtain the operating simulation results and de-icing simulation results; Based on the parameter requirement data for the initial output gear position, conduct a simulation analysis of the temperature rise situation, the relationship between the de-icing voltage and current in the area to be de-iced to obtain the heating effect data.

7. The AC ice melting control method according to claim 6, wherein, The adjustment to obtain the target output gear position parameters includes: Analyze the obtained simulation feedback data through an evaluation value to obtain the adjustment method for the initial output gear position; Input the obtained simulation feedback data into a deep learning algorithm for analysis, and output the adjustment range of the parameter requirements for the initial output gear position; Conduct adjustments based on the adjustment method and adjustment range to obtain the target output gear position parameters.

8. An AC ice melting control system applying the method according to any one of claims 1-7, characterized in that, Including: An acquisition module for acquiring the area range data of the area to be de-iced in the distribution network line; The first analysis module is configured to analyze the regional range data to obtain the target ice melting time and the target AC ice melting current; The second analysis module is configured to analyze the influence of line parameter errors and meteorological conditions on the ice melting parameters of the ice melting distribution transformer to obtain the influence data of line parameter errors and meteorological condition data; The third analysis module is configured to analyze the output gear parameters of the ice melting distribution transformer based on the regional range data, the target ice melting time, the target AC ice melting current, the influence data of line parameter errors, and the meteorological condition data to obtain the parameter requirement data of the initial output gear; The simulation module is configured to simulate and adjust the parameter requirement data of the initial output gear to obtain the target output gear parameters; The control module is configured to control different switch states in a preset order based on the target output gear parameters, so that the multifunctional ice melting distribution transformer performs ice melting treatment on the area to be ice melted.

9. A computer device, characterized in that, including: a memory and a processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the AC ice melting control method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that, It stores computer-executable instructions, and when the computer-executable instructions are executed by the processor, the steps of the AC ice melting control method according to any one of claims 1 to 7 are implemented.

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