AC ice melting control method, system, device and storage medium

Abstract

The present invention relates to the field of de-icing technology, and discloses an AC de-icing control method, system, device, and storage medium. The method includes constructing different matching models to analyze de-icing time and AC de-icing current, respectively, effectively improving the analysis accuracy of de-icing time and AC de-icing current; analyzing the influence of line parameter errors and meteorological conditions on the de-icing parameters of the de-icing distribution transformer, so that the determined output gear parameters are more consistent with actual conditions; adjusting the parameters of the initial output gear according to the simulation analysis results, so that the target output gear parameters ultimately obtained are more accurate; and controlling the multifunctional de-icing distribution transformer to perform de-icing treatment on the de-icing area according to the target output gear parameters in combination with the switching states of different switches controlled in a preset sequence. The present invention can effectively improve the de-icing effect of the distribution network while ensuring high-efficiency de-icing of the distribution network line.

Description

Technical Field

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

[0002] Ice accumulation on distribution lines is a major hidden danger to the safe operation of the power system. Ice accumulation will increase the weight of the conductors, causing them to sag and even cause serious accidents such as short circuits and collapses. Therefore, timely ice melting of distribution lines is particularly important.

[0003] The current de-icing process usually involves arranging relevant personnel to use de-icing devices to perform on-site de-icing operations. However, this method relies too much on the professional qualifications of the relevant personnel, making it difficult to ensure the reliability and timeliness of de-icing of distribution network lines, and it cannot effectively improve the de-icing efficiency of distribution network lines. At the same time, the de-icing process also poses certain risks to relevant personnel. In response to this, some companies will introduce relevant data analysis into the control system to determine the output gear parameters, but currently there is no sufficiently comprehensive and accurate analysis logic for the output gear parameters. Most of the analysis processes for the output gear parameters are relatively simple, relying only on static threshold judgment or experience-based control. This fails to effectively improve the accuracy of the output gear parameter analysis of the multi-functional de-icing distribution transformer, and cannot accurately meet the de-icing requirements of the line, resulting in poor de-icing effect on the distribution network line. Therefore, how to effectively improve the accuracy of the output gear parameter analysis of the multi-functional de-icing distribution transformer is a problem that needs 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 construct different matching models to analyze the ice melting time and the AC ice melting current respectively, so as to solve the problem that the existing ice melting data analysis method cannot effectively improve the accuracy of the output gear parameter analysis of the multi-functional ice melting distribution transformer, and the output gear demand of the transformer cannot be accurately controlled.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides an AC ice melting control method, comprising: obtaining regional range data of an area to be ice-melted in a distribution network line;

[0008] Analyze regional data to obtain target ice melting time and target AC ice melting current;

[0009] Conduct line parameter error impact analysis and meteorological condition impact analysis on de-icing parameters of de-icing distribution transformers to obtain line parameter error impact data and meteorological condition data;

[0010] Based on regional data, target ice-melting time, target AC ice-melting current, line parameter error impact data, and meteorological conditions, the output gear parameters of the ice-melting distribution transformer are analyzed to obtain the parameter requirements for the initial output gear.

[0011] Simulate the parameter requirement data of the initial output gear and adjust to obtain the target output gear parameters;

[0012] Based on the target output gear parameter, different switch states are controlled in a preset order so that the multifunctional ice-melting distribution transformer can melt ice in the ice-melting area.

[0013] As a preferred embodiment of the AC ice melting control method of the present invention, the target ice melting time and target AC ice melting current are obtained by analyzing the regional range data, including:

[0014] Obtain historical impedance parameters, historical ice-covered area data, historical ice-melting time, and historical AC ice-melting current of the area to be de-iced in the distribution network line;

[0015] A first set of variable coefficients is set based on the historical impedance parameters, the historical ice-covered area data, and the historical ice-melting time to generate a first matching model;

[0016] Performing ice melting time analysis based on the first matching model using target impedance parameters and pre-processed regional range data to obtain a target ice melting time;

[0017] A second set of variable coefficients is set based on the historical impedance parameters, the historical ice-covered area data, and the historical AC ice-melting current to generate a second matching model;

[0018] The AC ice-melting current is analyzed based on the second matching model using the target impedance parameter and the pre-processed regional range data to obtain the target AC ice-melting current.

[0019] The beneficial effect of this preferred technical solution is that, by combining historical data drive with decoupling modeling strategy, it can improve real-time performance, safety and deployability while ensuring ice melting control accuracy.

[0020] As a preferred embodiment of the AC de-icing control method of the present invention, the de-icing parameters of the de-icing distribution transformer are subjected to line parameter error impact analysis and meteorological condition impact analysis to obtain line parameter error impact data and meteorological condition data, including:

[0021] The line parameter error impact analysis is performed on the de-icing parameters of the de-icing distribution transformer based on the AC impedance of the distribution line in the de-icing area and the line specification and material parameters, and the line parameter error impact data is generated;

[0022] The impact analysis of ice melting time is carried out by using the coupled physical field model based on the meteorological data of the area to be ice-melted, and the impact analysis data of ice melting time is obtained;

[0023] Performing ice growth analysis based on the meteorological data of the area to be de-iced to obtain ice growth analysis data;

[0024] Meteorological condition data is generated by combining the ice melting time impact analysis data and the ice cover growth analysis data.

[0025] The beneficial effects of this preferred technical solution are: quantifying the impact of equipment errors on ice melting current / voltage through line parameter error analysis, avoiding the risk of overload caused by line aging or measurement deviation; using physical field models to dynamically predict ice melting time and ice growth trends, correcting the impact of environmental factors on heat conduction efficiency in real time, integrating time and ice coverage data, generating comprehensive meteorological condition parameters, and providing a dynamic and accurate environmental benchmark for subsequent gear adjustments.

[0026] As a preferred embodiment of the AC ice melting control method of the present invention, the parameter requirement data for obtaining the initial output gear position includes:

[0027] Based on the pre-processed regional data, target ice melting time and target AC ice melting current, the initial ice melting voltage is output through the ice melting voltage calculation model;

[0028] The ice-melting voltage calculation model performs a correlation analysis of the ice-melting voltage based on historical regional range data, historical ice-melting time, and historical AC ice-melting current;

[0029] The correlation analysis is solved cyclically to obtain the calculation process variables and calculation results of the regional range data, ice melting time and AC ice melting current for the ice melting voltage, so as to form an ice melting voltage calculation model.

[0030] As a preferred embodiment of the AC ice melting control method of the present invention, the step of obtaining the parameter requirement data for the initial output gear further includes:

[0031] After obtaining the initial ice-melting voltage, matching the adjustment coefficients of the ice-melting voltage and the ice-melting current is performed based on the line parameter error impact data and the meteorological condition data to obtain the corresponding adjustment coefficients;

[0032] Based on the adjustment coefficient, the initial ice-melting voltage and the target AC ice-melting current, a current and voltage demand analysis of the output gear parameters of the ice-melting distribution transformer is performed to obtain parameter demand data of the initial output gear.

[0033] As a preferred solution of the AC ice melting control method of the present invention, the simulation of the parameter requirement data of the initial output gear includes:

[0034] Based on the parameter demand data of the initial output gear and the meteorological data of the area to be de-iced, the operation state simulation analysis and de-icing process simulation analysis of multiple de-icing distribution transformers in the power supply and de-icing states are carried out to obtain the operation simulation results and de-icing simulation results;

[0035] Based on the parameter requirement data of the initial output gear, the temperature rise in the ice-melting area, and the relationship between the ice-melting voltage and current are simulated and analyzed to obtain the heating effect data.

[0036] As a preferred embodiment of the AC ice melting control method of the present invention, the adjustment to obtain the target output gear parameter includes:

[0037] The obtained simulation feedback data is analyzed through the evaluation value to obtain the adjustment method of the initial output gear;

[0038] The obtained simulation feedback data is input into the deep learning algorithm for analysis, and the adjustment range of the parameter requirements of the initial output gear is output;

[0039] Adjustments are made based on the adjustment method and adjustment range to obtain the target output gear parameters.

[0040] In a second aspect, the present invention provides an AC ice melting control system, comprising:

[0041] An acquisition module is used to obtain regional range data of the area to be de-iced in the distribution network line;

[0042] The first analysis module is used to analyze the regional range data to obtain the target ice melting time and target AC ice melting current;

[0043] The second analysis module is used to perform line parameter error impact analysis and meteorological condition impact analysis on the de-icing parameters of the de-icing distribution transformer, and obtain line parameter error impact data and meteorological condition data;

[0044] The third analysis module is used to analyze the output gear parameters of the de-icing distribution transformer based on the regional range data, target de-icing time, target AC de-icing current, line parameter error impact data and meteorological condition data to obtain the parameter requirement data of the initial output gear;

[0045] A simulation module is used to simulate the parameter requirement data of the initial output gear and adjust it to obtain the target output gear parameters;

[0046] The control module is used to control different switch states in a preset order based on the target output gear parameter, so that the multifunctional ice-melting distribution transformer can melt ice in the ice-melting area.

[0047] In a third aspect, the present invention provides a computer device, comprising:

[0048] memory and processor;

[0049] 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.

[0050] In a fourth aspect, the present invention provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the AC ice melting control method.

[0051] Compared with the prior art, the present invention has the following beneficial effects: the present invention constructs different matching models to respectively analyze the ice-melting time and the AC ice-melting current, which can effectively improve the analysis accuracy of the ice-melting time and the AC ice-melting current; the ice-melting parameters of the ice-melting distribution transformer are analyzed by line parameter error and meteorological conditions, which can make the determined output gear parameters more in line with the actual situation; the parameters of the initial output gear are adjusted according to the simulation analysis results, so that the target output gear parameters finally obtained are more accurate; according to the target output gear parameters combined with the switching states of different switches controlled in a preset order, the multifunctional ice-melting distribution transformer is controlled to perform ice-melting treatment on the ice-melting area, which can ensure 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

[0052] In order to more clearly illustrate the technical solutions of 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.

[0053] Figure 1 The figure is a schematic diagram of the overall process of an AC ice melting control method according to an embodiment of the present invention.

[0054] Figure 2 The figure is a schematic diagram of the hardware structure of an AC ice melting control method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0055] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0056] Example 1, reference Figure 1 , as an embodiment of the present invention, provides an AC ice melting control method, comprising:

[0057] S100: Acquire regional range data of the area to be de-iced in the distribution network line;

[0058] S200: Analyze the regional data to obtain a target ice-melting time and a target AC ice-melting current;

[0059] S300: performing line parameter error impact analysis and meteorological condition impact analysis on de-icing parameters of the de-icing distribution transformer to obtain line parameter error impact data and meteorological condition data;

[0060] S400: Analyze output gear parameters of the de-icing distribution transformer based on regional range data, target de-icing time, target AC de-icing current, line parameter error impact data, and meteorological condition data to obtain parameter requirement data for the initial output gear;

[0061] S500: simulating and adjusting the parameter requirement data of the initial output gear to obtain the target output gear parameters;

[0062] S600: Controlling different switch states in a preset sequence based on the target output gear parameter, so that the multifunctional ice-melting distribution transformer melts ice in the ice-melting area.

[0063] It should be noted that the current simplified processing method for the analysis of the output gear parameters of the multifunctional ice-melting distribution transformer is mainly manifested in the use of single-variable analysis. Most systems only use ambient temperature as the core input variable to calculate the output gear, and ignore other variables; or use a fixed threshold table for gear matching, which will result in the same gear being used for different line types with the same ice thickness; or rely on the experience of operation and 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 be far from the theoretical value.

[0064] Therefore, in response to the above-mentioned specific problems, steps S100-S600 are applied to the controller and the multifunctional ice-melting distribution transformer, and the controller is communicatively connected to the multifunctional ice-melting distribution transformer; the specific method is to integrate the line parameter errors and meteorological parameters, as well as coupling analysis, through the controller, and dynamically correct the line impedance and perform simulation optimization to achieve the output of the gear parameters that accurately matches the line ice-melting requirements, thereby solving the problems of traditional methods relying on manual experience, single parameter analysis, and lag in adjustment.

[0065] Example 2, reference Figure 1 , which is an embodiment of the present invention, provides an AC ice melting control method based on the above embodiment.

[0066] In an embodiment of the present invention, the regional range data of the area to be de-iced in the distribution network line obtained in step S100 includes: ice thickness, ice distance and ice type; and the regional range data is cleaned and integrated to obtain pre-processed regional range data.

[0067] In an optional embodiment, the area range data in step S100 may be input by relevant personnel or directly retrieved from a database; wherein, the ice cover types may include soft rime, rain rime, and hard rime.

[0068] In another optional embodiment, the regional range data in step S100 may further include ice-covered volume. Specifically, the ice-covered volume may be expressed as:

[0069] ,

[0070] in, is the ice volume, is the ice thickness, is the ice cover distance.

[0071] Exemplarily, the preprocessing method for the above data can be: obtaining individual data anomaly rules and global data anomaly rules, marking the regional range data according to the individual data anomaly rules and the global data anomaly rules, obtaining the marked regional range data, cleaning the marked regional range data for abnormal characters using a preset binary tree algorithm, and obtaining the cleaned regional range data. Data integration processing is performed on the cleaned regional range data, selecting each data element to be processed from the cleaned regional range data, pairing each data element to be processed, obtaining a matching relationship between each data element to be processed, generating a data relationship diagram based on the matching relationship using a preset topological diagram, and performing data integration processing on the cleaned regional range data according to the data relationship diagram. This can improve the efficiency of data integration. After the data integration processing is completed, the preprocessing of the regional range data is completed, that is, the preprocessed regional range data is obtained.

[0072] In an embodiment of the present invention, step S200 analyzes the regional data to obtain the target ice melting time and target AC ice melting current, including the following steps A1-A5:

[0073] A1: Obtain historical impedance parameters, historical ice-covered area data, historical ice-melting time, and historical AC ice-melting current in the area to be de-iced on the distribution network line;

[0074] It should be noted that the line width and node thickness in the area to be melted are different, and their historical impedance parameters are different; the historical ice-covered area data includes the ice-covered distance, ice-covered thickness and ice-covered type of the historical ice-covered area to be melted; the historical ice-melting time includes the ice-melting time corresponding to different historical ice-covered area data; the historical AC ice-melting current includes the AC ice-melting current corresponding to different historical ice-covered area data.

[0075] A2: Based on historical impedance parameters, historical ice-covered area data, and historical ice-melting time, a first set of variable coefficients is set to generate a first matching model;

[0076] Specifically, the first matching model is based on historical ice melting data, with ice melting time As the target variable, the impedance parameter of the melting ice area , ice coverage distance , ice thickness and icing type As the independent variable, it is established by least square fitting, that is, analyzed by linear regression statistical model. The model can be expressed as:

[0077] ,

[0078] in, is the intercept term; 、 and is the coefficient of continuous variables; is the dummy variable coefficient of ice cover type; is the error term (obeying normal distribution), Ice type The total number of categories.

[0079] In an optional embodiment, in step A2, considering the characteristic data points to avoid overfitting, a random forest model can be used to evaluate the mean square error of the above linear regression model. and the coefficient of determination , which can be expressed as:

[0080] ,

[0081] ,

[0082] in, For the The ice melting time for each historical data point; is the predicted value of ice melting time; is the mean melting time of historical data; for Historical data points.

[0083] A3: Based on the first matching model, the target impedance parameters and the pre-processed regional range data are used to analyze the ice melting time to obtain the target ice melting time;

[0084] Specifically, the target impedance parameter and the pre-processed regional range data are input into the first matching model to perform matching analysis of the ice melting time to obtain the target ice melting time.

[0085] A4: A second set of variable coefficients is set based on historical impedance parameters, historical ice-covered area data, and historical AC ice-melting current to generate a second matching model;

[0086] Specifically, the second matching model is based on historical ice melting data and ice melting current. As the target variable, the impedance parameter of the melting ice area , ice coverage distance , ice thickness and icing type As the independent variable, it is established by least square fitting, that is, analyzed by linear regression statistical model. The model can be expressed as:

[0087] ,

[0088] in, is the intercept term; 、 and is the coefficient of continuous variables; is the dummy variable coefficient of ice cover type; is the error term (normally distributed)

[0089] In an optional embodiment, in step A4, as in the optional method A2, the characteristic data points are considered to avoid overfitting, and the mean square error of the linearity of the second matching model can be evaluated using a random forest model. and the coefficient of determination , which can be expressed as:

[0090] ,

[0091] ,

[0092] in, For the Ice melting current of historical data points; is the predicted value of ice melting current; is the average value of ice melting current of historical data.

[0093] A5: Based on the second matching model, the AC ice-melting current is analyzed using the target impedance parameters and the pre-processed regional range data to obtain the target AC ice-melting current.

[0094] Specifically, the target impedance parameter and the pre-processed regional range data are input into the second matching model to perform matching analysis of the AC ice-melting current, thereby obtaining the target AC ice-melting current.

[0095] In an optional embodiment, the regional range data is analyzed in step S200. If the wire resistance is fixed, the ice melting time and ice melting current The relationship between can also be deduced and analyzed through the preset circular ice model, and the expression is:

[0096] ,

[0097] in, is the ice volume, Melting time, is the ice melting current, The relationship between time and current can be calculated by enumeration method. When the ice melting time is less than the preset ice melting time according to the requirements, it is the optimal ice melting time and ice melting current.

[0098] In an embodiment of the present invention, step S300 performs line parameter error impact analysis and meteorological condition impact analysis on de-icing parameters of the de-icing distribution transformer to obtain line parameter error impact data and meteorological condition data, including the following steps B1-B4:

[0099] B1: Analyze the impact of line parameter errors on the de-icing parameters of the de-icing distribution transformers based on the AC impedance of the distribution lines in the de-icing area and the line specifications and material parameters, and generate line parameter error impact data.

[0100] It should be noted that the line parameter error impact analysis, namely, analyzing the impact of 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 to the ice-melting process, can obtain the line parameter error impact data.

[0101] Specifically, the line specification material parameters include conductor resistivity , conductor cross-sectional area ,length ; AC impedance is expressed as ; The analysis formula can be expressed as:

[0102] ,

[0103] ,

[0104] in, is the temperature coefficient of the conductor material; is the line temperature rise; 、 、 is the error of each parameter; The error of the output ice melting parameters, such as ice melting time, ice melting current, etc. Ice melting parameters AC impedance The partial derivative of Follow rate of change; Ice melting parameters Conductor resistivity The partial derivative of Follow rate of change; Ice melting parameters Conductor cross-sectional area The partial derivative of Follow The rate of change.

[0105] The Sobol index method is used to decompose the variance of each parameter and calculate the sensitivity index of each parameter to quantitatively evaluate the comprehensive impact of line parameter errors on ice melting parameters, which can be expressed as:

[0106] ,

[0107] ,

[0108] in, is the total variance; is the AC impedance , conductor resistivity , conductor cross-sectional area The independent variance contribution of the parameters refers to the variance of the model output caused by the independent change of a single parameter, such as by changing the AC impedance alone. The value of can be used to calculate the ice melting parameter error A set of sample data, the variance of the sample data is the AC impedance The independent variance contribution of ‌ ; represents the total number of independent parameters in the model; The variance contribution of the interaction between parameters refers to the variance of the model output caused by changes in multiple parameters. is the variance after excluding the parameter; It is the total sensitivity effect index. The higher the value, the higher the error contribution. For example, AC impedance The sensitivity of the total effect index is higher than the conductor resistivity The sensitivity total effect index indicates that Ice melting parameter error The impact is greater than right ‌

[0109] B2: Analyze the impact of ice melting time using the coupled physical field model based on the meteorological data of the area to be ice-melted, and obtain the analysis data of the impact of ice melting time;

[0110] Specifically, the meteorological data of the area to be de-iced may include solar irradiance, wind speed, and air temperature;

[0111] Specifically, the coupled physical field model can analyze the thermal balance equation of the distribution network line during ice melting by using the AC impedance and line specification material parameters. The coupled physical field model can then be constructed using finite element simulation software in combination with the analyzed thermal balance equation.

[0112] Specifically, the ice-melting time impact analysis is performed in the meteorological-melting time relationship curve according to the coupled physical field model combined with meteorological data, thereby obtaining the ice-melting time impact analysis data.

[0113] B3: Analyze ice growth using meteorological data from the area to be melted to obtain ice growth analysis data;

[0114] In an optional embodiment, the ice growth analysis in step B2 can be performed by obtaining historical meteorological data, setting a weight coefficient for the historical meteorological data, using the weight coefficient to initialize the migration network parameters, using a deep convolutional neural network model as the ice growth analysis model, and training the deep convolutional neural network model using a gradient descent method based on the historical meteorological data and its corresponding weight coefficient to obtain a trained ice growth analysis model for ice growth analysis;

[0115] For example, the ice growth analysis model can be expressed as:

[0116] ,

[0117] ,

[0118] in, is the weight coefficient of 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.

[0119] Inputting meteorological data into the above-mentioned ice growth analysis model to perform ice growth analysis on the area to be melted, that is, analyzing the ice growth rate of the area to be melted under the meteorological data to obtain ice growth analysis data;

[0120] B4: Combine the ice melting time impact analysis data and ice cover growth analysis data to generate meteorological condition data.

[0121] Specifically, step B4 can perform an ice melting impact analysis on the ice growth using the ice growth analysis data obtained in B3 to obtain ice melting impact analysis data of the ice growth. The meteorological condition impact analysis data is constructed based on the ice melting impact analysis data of the ice growth and the ice melting time impact analysis data. From this, it can be known what impact the meteorological conditions will have on the various ice melting parameters of the multi-functional ice melting distribution transformer.

[0122] In the embodiment of the present invention, obtaining the parameter requirement data of the initial output gear in step S400 includes the following steps C1:

[0123] C1: Outputs the initial ice-melting voltage through the ice-melting voltage calculation model based on the pre-processed regional data, target ice-melting time, and target AC ice-melting current;

[0124] C1-1: The ice-melting voltage calculation model performs a correlation analysis of the ice-melting voltage based on historical regional data, historical ice-melting time, and historical AC ice-melting current.

[0125] C1-2: Perform a cyclic solution to the correlation analysis to obtain the calculation process variables and results of the regional range data, ice melting time and AC ice melting current for the ice melting voltage, so as to form an ice melting voltage calculation model.

[0126] For example, the ice melting voltage calculation model can be expressed as:

[0127] ,

[0128] ,

[0129] ,

[0130] ,

[0131] in, Output matrix for ice melting voltage calculation; is the calculation factor matrix; is the variable matrix, including the ice volume , ice melting time and AC ice melting current ; Ice volume , ice melting time and AC ice melting current The weight coefficient of is the total number of data samples; is the transpose operation of the matrix.

[0132] In the embodiment of the present invention, the step S400 of obtaining the parameter requirement data of the initial output gear further includes the following steps C2-C3:

[0133] C2: After obtaining the initial ice-melting voltage, the adjustment coefficients of the ice-melting voltage and ice-melting current are matched based on the line parameter error impact data and meteorological condition data to obtain the corresponding adjustment coefficients;

[0134] C3: Based on the adjustment coefficient, initial ice-melting voltage and target AC ice-melting current, the current and voltage demand analysis of the output gear parameters of the ice-melting distribution transformer is performed to obtain the parameter demand data of the initial output gear.

[0135] For example, the parameter requirement data of the initial output gear can be expressed as:

[0136] ,

[0137] ,

[0138] ,

[0139] in, is the adjusted output ice melting voltage; is the initial ice-melting voltage calculated using the ice-melting voltage calculation model; is the adjusted output AC ice-melting current; is the target AC ice-melting current; is the adjustment coefficient, which is affected by the line parameter error and the meteorological conditions influence coefficient Is relevant.

[0140] In an optional embodiment, in step S400, the parameter requirement data of the initial output gear is obtained. If the switch gear pressure difference coefficient is known, the ice melting gear can be determined by the ice melting current and the wire group. The expression of the ice melting gear is:

[0141] ,

[0142] in, For ice melting gear, is the wire resistance, is the ice melting current, is the pressure difference coefficient of the switch position.

[0143] In the embodiment of the present invention, in step S500, the parameter requirement data of the initial output gear is simulated, including D1-D2:

[0144] D1: Based on the parameter requirement data of the initial output gear and the meteorological data of the area to be de-iced, the operation state simulation analysis and de-icing process simulation analysis of multiple de-icing distribution transformers in the power supply and de-icing states are carried out to obtain the operation simulation results and de-icing simulation results;

[0145] Specifically, step D1 can perform simulation analysis of the operating state and ice-melting process of the multifunctional ice-melting distribution transformer in the power supply and ice-melting states through a preset simulation model. The preset simulation model is a heat conduction model, which is used to simulate the heat conduction of the output current of the multifunctional ice-melting distribution transformer to the ice-melting area, which can be expressed as:

[0146] ,

[0147] ,

[0148] in, Heat generated by the transformer output current; is the density; is the specific heat capacity; It represents the rate of change of temperature with time; is thermal conductivity; Describes the diffusion of heat; is the volume heat source term.

[0149] Exemplarily, step D1 inputs the parameter requirement data and meteorological data of the initial output gear into the simulation software, and performs operation state simulation analysis and ice-melting process simulation analysis of the multifunctional ice-melting distribution transformer in the power supply and ice-melting states according to the above-mentioned preset simulation model. The operation state simulation analysis includes the operation state simulation analysis of the core, winding and box temperature field of the multifunctional ice-melting distribution transformer in the power supply and ice-melting states to obtain operation state simulation data. The ice-melting process simulation analysis includes the simulation analysis of the ice-melting time and ice-melting effect of the ice-melting area under the parameter requirement data of the initial output gear of the multifunctional ice-melting distribution transformer to obtain ice-melting time and ice-melting effect simulation data, that is, the operation simulation results and ice-melting simulation results are obtained.

[0150] D2: Based on the parameter requirement data of the initial output gear, the temperature rise of the ice-melting area, the relationship between the ice-melting voltage and current are simulated and analyzed to obtain the heating effect data.

[0151] Specifically, the heating effect simulation in step D2 can be performed using the following formula:

[0152] ,

[0153] ,

[0154] in, For the heat generated; is the ice melting voltage; is the AC ice-melting current; The ice melting time; Indicates the quality of the ice melting conductor; represents the specific heat capacity of the ice-melting wire; Indicates the temperature rise of the ice-melting conductor.

[0155] It should be noted that the analysis of the relationship between the ice-melting voltage and the ice-melting current in step D2 can provide more data support for subsequent feedback analysis.

[0156] In the embodiment of the present invention, adjusting and obtaining the target output gear parameter in step S500 includes the following steps E1-E3:

[0157] E1: Analyze the obtained simulation feedback data through the evaluation value to obtain the adjustment method of the initial output gear;

[0158] Specifically, the simulation feedback data refers to the operation simulation results of the multifunctional ice-melting distribution transformer itself obtained by the operation status simulation analysis in the simulation software mentioned above; as well as the ice-melting simulation results (i.e., ice-melting time and ice-melting effect simulation data) obtained by the ice-melting process simulation analysis. The requirements for output gear parameters such as ice-melting voltage and ice-melting current can be reflected from the ice-melting effect data.

[0159] The simulation feedback data of step E1 is analyzed through evaluation values. Evaluation criteria can be set by pre-setting expert rules, and evaluation values ​​of the simulation feedback data are calculated according to the evaluation criteria to obtain corresponding evaluation values. Parameter demand data is reflected according to the corresponding evaluation values, and then the adjustment method of the initial output gear is determined.

[0160] E2: Input the obtained simulation feedback data into the deep learning algorithm for analysis, and output the adjustment range of the parameter requirements for the initial output gear;

[0161] E3: Adjust based on the adjustment method and adjustment range to obtain the target output gear parameters.

[0162] Specifically, the initial output gear is adjusted and the output voltage and AC ice-melting current of the adjusted output gear are adjusted to obtain target output gear parameters.

[0163] In an embodiment of the present invention, in step S600, controlling different switch states in a preset order based on the target output gear parameter so that the multifunctional ice-melting distribution transformer performs ice-melting processing in the ice-melting area may specifically include:

[0164] F1: Set the voltage and current values ​​of the line to be de-iced based on the target output gear parameters to complete the de-icing gear setting;

[0165] F2: After the ice melting gear is set, the controller controls the opening and closing of the boundary switch, ice melting switch, short-circuit switch and protection switch in the preset order to form a short-circuit state;

[0166] F3: Under the short-circuit state, the multifunctional ice-melting distribution transformer is controlled to enter the automatic ice-melting mode and the ice-melting area is melted according to the target output gear parameters.

[0167] Exemplarily, the multifunctional ice-melting distribution transformer sets the ice-melting voltage and current values ​​of the ice-melting line according to the target output gear parameters. Then, the switch states controlled in a preset order include: 1. the boundary switch is disconnected, 2. the short-circuit switch is closed, 3. the ice-melting switch is closed, and 4. the protection switch is closed. Another preset order of switch states includes: 1. the boundary switch is disconnected, 2. the ice-melting switch is closed, 3. the short-circuit switch is closed, and 4. the protection switch is closed. The preset order of the two is selected according to actual conditions. After the boundary switch is disconnected, a short-circuit state is formed due to the closure of the ice-melting switch, the short-circuit switch and the protection switch. The multifunctional ice-melting distribution transformer enters the automatic ice-melting mode. A thermal effect is generated in the area to be de-iced to melt the ice. At the same time, the multifunctional de-icing distribution transformer can support multiple branches, each of which operates independently to achieve rapid de-icing. This realizes the automation, thermal stability, and intelligence of the multifunctional de-icing distribution transformer. Since the multifunctional de-icing distribution transformer has the functions of both a distribution transformer and an de-icing transformer, when the total power does not exceed twice the rated capacity, both functions can be used simultaneously for two hours. Therefore, in the automatic de-icing mode, the multifunctional de-icing distribution transformer simultaneously supplies power and de-ices the area to be de-iced according to the output parameters, ensuring that the line can be de-iced while the power supply on the distribution side of the transformer is normal. After the de-icing is completed, the de-icing process is exited in the following order: 1. The protective switch is disconnected, 2. The de-icing switch is disconnected, 3. The short-circuit switch is disconnected, and 4. The de-icing switch is closed, thereby completing the de-icing exit operation.

[0168] In summary, by constructing different matching models to analyze the ice melting time and AC ice melting current respectively, the analysis accuracy of the ice melting time and AC ice melting current can be effectively improved. The ice melting parameters of the multifunctional ice melting distribution transformer are analyzed by line parameter error impact analysis and meteorological condition impact analysis. Taking into account the influence of line parameter error and meteorological conditions on the ice melting parameters, the determined output gear parameters are more in line with the actual situation. The output gear parameter demand analysis of the multifunctional ice melting distribution transformer is carried out based on the pre-processed regional range data, target ice melting time, target AC ice melting current, line parameter error impact analysis data, and meteorological condition impact analysis data. The initial output gear parameters are adjusted according to the simulation analysis results to make the final target output gear parameters more accurate. According to the target output gear parameters and the switch status of different switches controlled according to the preset sequence, the multifunctional ice melting distribution transformer is controlled to perform ice melting in the ice melting area. This can ensure the high efficiency of ice melting of the distribution network line while effectively improving the ice melting effect of the distribution network line.

[0169] Example 3. The above is an illustrative embodiment of an AC ice-melting control method. It should be noted that the technical solution of this AC ice-melting control system and the technical solution of the AC ice-melting control method described above share the same concept. For details not described in detail in the technical solution of the AC ice-melting control system in this embodiment, please refer to the description of the technical solution of the AC ice-melting control method described above.

[0170] This embodiment also provides an AC ice melting control system, including:

[0171] An acquisition module is used to obtain regional range data of the area to be de-iced in the distribution network line;

[0172] The first analysis module is used to analyze the regional range data to obtain the target ice melting time and target AC ice melting current;

[0173] The second analysis module is used to perform line parameter error impact analysis and meteorological condition impact analysis on the de-icing parameters of the de-icing distribution transformer, and obtain line parameter error impact data and meteorological condition data;

[0174] The third analysis module is used to analyze the output gear parameters of the de-icing distribution transformer based on the regional range data, target de-icing time, target AC de-icing current, line parameter error impact data and meteorological condition data to obtain the parameter requirement data of the initial output gear;

[0175] A simulation module is used to simulate the parameter requirement data of the initial output gear and adjust it to obtain the target output gear parameters;

[0176] The control module is used to control different switch states in a preset order based on the target output gear parameter, so that the multifunctional ice-melting distribution transformer can melt ice in the ice-melting area.

[0177] Through 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 hardware, and of course can also be implemented by hardware. For example, Figure 2 In the structural composition diagram, the device includes a controller and a multifunctional ice-melting distribution transformer, the controller is communicatively connected to the multifunctional ice-melting distribution transformer, and the device is configured to execute the AC ice-melting control method in the above embodiment.

[0178] In a specific implementation of the present invention, a controller receives regional data and analyzes it to determine the target output range parameters for the multifunctional ice-melting distribution transformer. The controller then controls the opening and closing of the demarcation switch, ice-melting switch, short-circuit switch, and protective switch to initiate and terminate ice-melting operations. The multifunctional ice-melting distribution transformer is adjusted to the desired range by the protective switch, generating a thermal effect to melt ice in the area to be melted while maintaining normal power supply on its distribution side.

[0179] at the same time, Figure 2 The AC ice melting control device shown does not constitute a limitation on all components, and may include more or fewer components than shown, or a combination of certain components. Specific implementation methods can be found in the above embodiments, which will not be described in detail here.

[0180] This embodiment further provides a computer device suitable for AC ice melting control, comprising: 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 proposed in the above embodiment.

[0181] This embodiment further provides a storage medium storing a computer program. When the program is executed by a processor, the AC ice melting control method proposed in the above embodiment is implemented.

[0182] The storage medium proposed in this embodiment and the method for implementing AC ice melting control proposed in the above embodiment belong to the same inventive concept. For technical details not fully described in this embodiment, please refer to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0183] Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory (FLASH), hard disk or optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods of various embodiments of the present invention.

[0184] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An AC ice melting control method, characterized in that: include: Obtain regional data on the area to be de-iced in the distribution network line; Analyze regional data to obtain target ice melting time and target AC ice melting current; The impact of line parameter errors and meteorological conditions on the de-icing parameters of the de-icing distribution transformer are analyzed to obtain line parameter error impact data and meteorological condition data, including: The line parameter error impact analysis is performed on the de-icing parameters of the de-icing distribution transformer based on the AC impedance of the distribution network line in the de-icing area and the line specification material parameters, and the line parameter error impact data is generated; Line specification material parameters include conductor resistivity, conductor cross-sectional area, length and AC impedance; The ice melting parameter error is obtained by analyzing the influence of line parameter error; Based on the ice melting parameter error, the sensitivity index of material parameters of each line specification is calculated using the Sobol index method to obtain the impact data of line parameter error; The impact analysis of ice melting time is carried out by using the coupled physical field model based on the meteorological data of the area to be ice-melted, and the impact analysis data of ice melting time is obtained; Meteorological data for the area to be melted include solar irradiance, wind speed, and air temperature; The coupled physics model uses the AC impedance of the distribution network line and the line specification and material parameters to analyze the thermal balance equation during ice melting, and combines simulation to build a coupled physics model. According to the coupled physical field model combined with meteorological data, the impact of ice melting time is analyzed in the meteorological-melting time relationship curve to obtain the ice melting time impact analysis data; Perform ice growth analysis based on meteorological data of the area to be melted to obtain ice growth analysis data; Ice growth analysis sets weight coefficients for historical meteorological data, uses the weight coefficients to initialize migration network parameters, uses a deep convolutional neural network model as the ice growth analysis model, and trains it using the gradient descent method based on the historical meteorological data and the corresponding weight coefficients. Inputting meteorological data into the trained ice growth analysis model for analysis to obtain ice growth analysis data; Combine ice melting time impact analysis data and ice cover growth analysis data to generate meteorological condition data; Based on regional data, target ice-melting time, target AC ice-melting current, line parameter error impact data, and meteorological conditions, the output gear parameters of the ice-melting distribution transformer are analyzed to obtain the parameter requirements for the initial output gear. Simulate the parameter requirement data of the initial output gear and adjust to obtain the target output gear parameters; Based on the target output gear parameter, different switch states are controlled in a preset order so that the multifunctional ice-melting distribution transformer can melt ice in the ice-melting area.

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

3. The AC ice melting control method according to claim 2, characterized in that: The parameter requirement data for obtaining the initial output gear position includes: Based on the pre-processed regional data, target ice melting time and target AC ice melting current, the initial ice melting voltage is output through the ice melting voltage calculation model; The ice-melting voltage calculation model performs a correlation analysis of the ice-melting voltage based on historical regional range data, historical ice-melting time, and historical AC ice-melting current; The correlation analysis is solved cyclically to obtain the calculation process variables and calculation results of the regional range data, ice melting time and AC ice melting current for the ice melting voltage, so as to form an ice melting voltage calculation model.

4. The AC ice melting control method according to claim 3, characterized in that: The step of obtaining the parameter requirement data for the initial output gear further includes: After obtaining the initial ice-melting voltage, matching the adjustment coefficients of the ice-melting voltage and the ice-melting current is performed based on the line parameter error impact data and the meteorological condition data to obtain the corresponding adjustment coefficients; Based on the adjustment coefficient, the initial ice-melting voltage and the target AC ice-melting current, a current and voltage demand analysis of the output gear parameters of the ice-melting distribution transformer is performed to obtain parameter demand data of the initial output gear.

5. The AC ice melting control method according to claim 4, characterized in that: Simulate the parameter requirement data of the initial output gear, including: Based on the parameter demand data of the initial output gear and the meteorological data of the area to be de-iced, the operation state simulation analysis and de-icing process simulation analysis of multiple de-icing distribution transformers in the power supply and de-icing states are carried out to obtain the operation simulation results and de-icing simulation results; Based on the parameter requirement data of the initial output gear, the temperature rise in the ice-melting area, and the relationship between the ice-melting voltage and current are simulated and analyzed to obtain the heating effect data.

6. The AC ice melting control method according to claim 5, characterized in that: The adjustment to obtain the target output gear parameters includes: The obtained simulation feedback data is analyzed through the evaluation value to obtain the adjustment method of the initial output gear; The obtained simulation feedback data is input into the deep learning algorithm for analysis, and the adjustment range of the parameter requirements of the initial output gear is output; Adjustments are made based on the adjustment method and adjustment range to obtain the target output gear parameters.

7. An AC ice melting control system, applying the method according to any one of claims 1 to 6, characterized in that: include: An acquisition module is used to obtain regional range data of the area to be de-iced in the distribution network line; The first analysis module is used to analyze the regional range data to obtain the target ice melting time and target AC ice melting current; The second analysis module is used to perform line parameter error impact analysis and meteorological condition impact analysis on the de-icing parameters of the de-icing distribution transformer, and obtain line parameter error impact data and meteorological condition data; The third analysis module is used to analyze the output gear parameters of the de-icing distribution transformer based on the regional range data, target de-icing time, target AC de-icing current, line parameter error impact data and meteorological condition data to obtain the parameter requirement data of the initial output gear; A simulation module is used to simulate the parameter requirement data of the initial output gear and adjust it to obtain the target output gear parameters; The control module is used to control different switch states in a preset order based on the target output gear parameter, so that the multifunctional ice-melting distribution transformer can melt ice in the ice-melting area.

8. A computer device, characterized in that: include: memory and 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 6 are implemented.

9. A computer-readable storage medium, characterized in that It stores computer-executable instructions, which, when executed by a processor, implement the steps of the AC ice melting control method according to any one of claims 1 to 6.

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