Control Method for Amorphous Alloy Dry-Type Power Transformer for Renewable Energy Access

Abstract

The invention discloses a control method for an amorphous alloy dry-type power transformer for renewable energy access, which relates to the technical field of power transformer control. By extracting the power parameters of the amorphous alloy dry-type power transformer corresponding to the renewable energy access point within a set time interval and analyzing the changes in the power parameters, an electrical evaluation model and a power evaluation model of the amorphous alloy dry-type power transformer corresponding to the renewable energy access point within the set time interval are obtained. The power parameters are collected and analyzed from multiple dimensions, covering voltage, current, active power, and reactive power, comprehensively reflecting the operating conditions of the renewable energy access point, solving the problem in the prior art that it is difficult to quickly adjust the operating parameters of the transformer when dealing with the rapid change of renewable energy generation power, realizing the adaptive control adjustment of the transformer operating parameters, and improving the accuracy of transformer control.

Description

Technical Field

[0001] The present invention relates to the technical field of power transformer control, and specifically to a control method for amorphous alloy dry-type power transformers for renewable energy access. Background Art

[0002] With the wide application of renewable energy (such as solar energy, wind energy, etc.), many challenges are faced when it is connected to the power grid; renewable energy power generation has characteristics such as intermittency and volatility, which will have a greater impact on the connected power transformer. For example, frequent power changes may cause transformer temperature fluctuations, accelerate insulation aging, and reduce the service life and reliability of the transformer.

[0003] Due to its low-loss characteristics, amorphous alloy dry-type power transformers have been applied to a certain extent in the scenario of renewable energy access; however, the existing control systems for amorphous alloy dry-type power transformers still have the following deficiencies in the actual application process:

[0004] Most are designed only for the traditional power grid power supply mode and cannot effectively cope with the complex working conditions brought by renewable energy access. When dealing with the rapid change of renewable energy power generation; for example, when the clouds move quickly, the solar power generation power will change rapidly; it is difficult to quickly adjust the operating parameters of the transformer, resulting in a decrease in the operating efficiency of the transformer and even causing failures.

[0005] Therefore, a control method for amorphous alloy dry-type power transformers for renewable energy access is introduced. Summary of the Invention

[0006] The purpose of the present invention is to solve the problems pointed out in the background art, and to propose a control method for amorphous alloy dry-type power transformers for renewable energy access.

[0007] The purpose of the present invention can be achieved by the following technical solutions: A control method for amorphous alloy dry-type power transformers for renewable energy access, including:

[0008] Data processing: When the preset control evaluation period is reached, extract the power parameters of the amorphous alloy dry-type power transformer corresponding to the renewable energy access point within the set time interval, and analyze the change of the power parameters to obtain the electrical evaluation model and power evaluation model of the amorphous alloy dry-type power transformer corresponding to the renewable energy access point within the set time interval; where the power parameters include voltage, current, active power, and reactive power;

[0009] Historical evaluation: Input the electrical evaluation model and power evaluation model of the renewable energy access point in the current set time interval into the pre-constructed historical database for matching, so as to determine the feasible control scheme of the amorphous alloy dry-type power transformer in the next set time interval.

[0010] Decision execution: After determining the feasibility control scheme of the amorphous alloy dry-type power transformer in the next set time interval, the transformer is controlled and adjusted accordingly according to the content of the feasibility control scheme.

[0011] As a preferred embodiment of the present invention, the changes in voltage and current in the electrical parameters are analyzed, specifically:

[0012] Extract the voltage and current at each time node of the renewable energy access point within the set time interval, and remove the outliers;

[0013] After removing the outliers, calculate the mean and standard deviation of the voltage and current at each time node respectively, so as to obtain the voltage mean, voltage standard deviation, current mean and current standard deviation of the renewable energy access point within the set time interval;

[0014] Substitute the voltage mean within the set time interval and the rated voltage into the formula for calculation to obtain the voltage deviation of the renewable energy access point within the set time interval; where respectively represent the voltage mean and the rated voltage;

[0015] Mark the maximum and minimum values of the voltage within the set time interval, and subtract the minimum value from the maximum value to obtain the voltage fluctuation of the renewable energy access point within the set time interval;

[0016] Extract the voltage standard deviation, voltage deviation and voltage fluctuation of the renewable energy access point within the set time interval and mark them as , preset The corresponding normal voltage standard deviation, allowable voltage deviation and normal voltage fluctuation of respectively, and use to represent;

[0017] According to the formula , calculate the voltage standard deviation, voltage deviation and voltage fluctuation of the renewable energy access point within the set time interval, so as to obtain the voltage state value cad of the renewable energy access point within the set time interval; where respectively represent the influence weight factors corresponding to the voltage standard deviation, voltage deviation and voltage fluctuation.

[0018] As a preferred embodiment of the present invention, an electrical evaluation model of the amorphous alloy dry-type power transformer corresponding to the renewable energy access point within the set time interval is obtained, specifically:

[0019] Calculate the ratio between the current mean and the rated current within the set time interval to obtain the current overload value of the renewable energy access point within the set time interval;

[0020] Extract the current standard deviation and current overload value of the renewable energy access point within the set time interval and mark them respectively as , preset The corresponding normal current standard deviation and allowable current overload value respectively, and use to represent;

[0021] According to the formula , calculate the current standard deviation and current overload value of the renewable energy access point within the set time interval, so as to obtain the current status value cat of the renewable energy access point within the set time interval; where respectively represent the influence weight factors corresponding to the current standard deviation and current overload value;

[0022] Take the voltage status value cad and current status value cat of the renewable energy access point within the set time interval as the length value and width value of the rectangle respectively, and construct a rectangle, and use the constructed rectangle as the electrical evaluation model of the renewable energy access point in the current set time interval.

[0023] As a preferred implementation manner of the present invention, analyze the changes in active power and reactive power in the power parameters, specifically:

[0024] Extract the active power and reactive power of each time node of the renewable energy access point within the set time interval;

[0025] Calculate the first-order difference of the active power of each time node within the set time interval, that is, through the formula , where represents the active power of the i-th time node;

[0026] Calculate the mean and standard deviation of each group of calculation results of the first-order difference respectively, and obtain the first-order difference mean and first-order difference standard deviation of the active power of each time node within the set time interval;

[0027] For the reactive power and active power of each time node of the renewable energy access point within the set time interval, calculate the mean value, so as to obtain the reactive power mean value and active power mean value of the renewable energy access point within the set time interval;

[0028] Calculate the ratio of the reactive power mean value and the active power mean value, so as to obtain the reactive power balance value of the renewable energy access point within the set time interval.

[0029] As a preferred implementation manner of the present invention, obtain the power evaluation model of the amorphous alloy dry-type power transformer corresponding to the renewable energy access point within the set time interval, specifically:

[0030] Extract the first-order difference mean and the first-order difference standard deviation of the renewable energy access point within the set time interval, and label them respectively as , and preset The allowable first-order difference mean and the allowable first-order difference standard deviation corresponding to each respectively, and use to represent;

[0031] After calculating the first-order difference mean and the first-order difference standard deviation through the formula , They are respectively the influence weight factors corresponding to the first-order difference mean and the first-order difference standard deviation;

[0032] After the calculation is completed, take the calculation result M and the reactive power balance value as the length value and the width value of the rectangle respectively, construct a rectangle, and use the constructed rectangle as the power evaluation model of the renewable energy access point in the current set time interval.

[0033] As a preferred implementation manner of the present invention, input the electrical evaluation model and the power evaluation model of the renewable energy access point in the current set time interval into the pre-constructed historical database for matching. Specifically:

[0034] Extract the model set corresponding to each group of historical feasibility control schemes in the historical database; the model set includes a historical electrical evaluation model and a historical power evaluation model;

[0035] Obtain the area values of the electrical evaluation model and the power evaluation model of the renewable energy access point in the current set time interval to obtain the electrical face value and the power face value; label the area values of the historical electrical evaluation model and the historical power evaluation model as the electrical face value reference value and the power face value reference value respectively;

[0036] Calculate the ratio of the electrical face value to the electrical face value reference value, and calculate the difference between the calculated ratio and the integer one. After taking the absolute value of the calculated difference, obtain the electrical similarity value;

[0037] Calculate the ratio of the power face value to the power face value reference value, and calculate the difference between the calculated ratio and the integer one. After taking the absolute value of the calculated difference, obtain the power similarity value;

[0038] Set the weight coefficients corresponding to the electrical similarity value and the power similarity value respectively. Multiply the electrical similarity value and the power similarity value by the corresponding weight coefficients respectively, and then sum to obtain the model similarity evaluation value gh1;

[0039] Calculate the difference between the rectangle length value and the rectangle width value of the electrical evaluation model and the historical electrical evaluation model respectively, and accumulate the two groups of calculated differences to obtain the electrical similarity difference;

[0040] Calculate the differences between the rectangular length values and rectangular width values of the power evaluation model and the historical power evaluation model respectively, and accumulate the two sets of calculated differences to obtain the work similarity difference;

[0041] Set the weight coefficients corresponding to the electrical similarity difference and the work similarity difference respectively, multiply the electrical similarity difference and the work similarity difference by the corresponding weight coefficients respectively, and then sum to obtain the model similarity evaluation binary value gh2.

[0042] As a preferred embodiment of the present invention, determine the feasibility control scheme of the amorphous alloy dry-type power transformer in the next set time interval, specifically:

[0043] Preset the ideal evaluation value 1 and ideal evaluation value 2 corresponding to the model similarity evaluation value 1 gh1 and the model similarity evaluation value 2 gh2 respectively, and mark them as gy1 and gy2 respectively;

[0044] According to the formula Calculate the model similarity evaluation value 1 gh1 and the model similarity evaluation value 2 gh2 to obtain the implementation effect index gc of each group of historical feasibility control schemes in the historical database; Are the influence weight factors of the model similarity evaluation value 1 gh1 and the model similarity evaluation value 2 gh2 respectively;

[0045] Select the historical feasibility control scheme with the highest implementation effect index gc as the feasibility control scheme of the amorphous alloy dry-type power transformer in the next set time interval.

[0046] As a preferred embodiment of the present invention, the feasibility control scheme of the amorphous alloy dry-type power transformer in the next set time interval further includes:

[0047] If the electrical evaluation model and the power evaluation model of the renewable energy access point in the current set time interval are matched in the pre-constructed historical database, and the implementation effect index gc of each group of historical feasibility control schemes is lower than the set minimum reference allowable index; then it is determined that the historical evaluation fails, and the electrical evaluation model and the power evaluation model are sent to the technician for evaluation. The technician determines the feasibility control scheme of the amorphous alloy dry-type power transformer in the next set time interval after evaluation, and inputs the feasibility control scheme, electrical evaluation model and power evaluation model determined by the technician into the historical database for update.

[0048] Compared with the prior art, the beneficial effects of the present invention are:

[0049] The present invention extracts the power parameters of an amorphous alloy dry-type power transformer corresponding to a renewable energy access point within a set time interval, and analyzes the changes in the power parameters to obtain an electrical evaluation model and a power evaluation model for the renewable energy access point of the amorphous alloy dry-type power transformer. The power parameters are collected and analyzed from multiple dimensions, covering voltage, current, active power, and reactive power, comprehensively reflecting the operating conditions of the renewable energy access point, solving the problem in the prior art that it is difficult to quickly adjust the operating parameters of the transformer when dealing with the rapid change of renewable energy generation power, realizing the adaptive control and adjustment of the transformer operating parameters, and improving the accuracy of transformer control;

[0050] The present invention constructs a historical database to store the corresponding transformer control schemes under different combinations of previous electrical evaluation values and power evaluation values. The electrical evaluation model and power evaluation model of the current set time interval are input into the database for matching. By calculating the electrical similarity value, power similarity value, and model similarity evaluation value, the historical record most similar to the current situation is found, and the feasible control scheme for the next set time interval is determined by referring to the historical scheme, improving the control ability to cope with complex working conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings.

[0052] Figure 1 It is a flowchart of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0053] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the 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.

[0054] Please refer to Figure 1 as shown, the control method for an amorphous alloy dry-type power transformer for renewable energy access includes:

[0055] Data processing: Based on the preset acquisition devices, the electrical parameters of the renewable energy access points are collected in real time; the acquisition devices are various sensors, and various sensors transmit the collected analog signals (electrical signals corresponding to voltage and current) to the data acquisition card. The data acquisition card converts these analog signals into digital signals and then transmits the digital signals to the data analysis center through the communication line; when the data analysis center reaches the preset control and evaluation cycle, it extracts the electrical parameters of the amorphous alloy dry-type power transformer corresponding to the renewable energy access point within the set time interval, and analyzes the changes in the electrical parameters to obtain the electrical evaluation model and power evaluation model of the amorphous alloy dry-type power transformer corresponding to the renewable energy access point within the set time interval; among them, the electrical parameters include voltage, current, active power, and reactive power;

[0056] The specific calculation process of the electrical evaluation model is as follows:

[0057] Extract the voltage and current at each time node of the renewable energy access point within the set time interval and remove the outliers; the outliers are processed using a statistical method, and the data points that deviate from the mean by more than 3 times the standard deviation are regarded as outliers and corrected or removed;

[0058] After removing the outliers, calculate the mean and standard deviation of the voltage and current at each time node respectively, so as to obtain the voltage mean, voltage standard deviation, current mean, and current standard deviation of the renewable energy access point within the set time interval;

[0059] Obtain the rated voltage corresponding to the power grid, and substitute the voltage mean and rated voltage within the set time interval into the formula for calculation to obtain the voltage deviation of the renewable energy access point within the set time interval; where respectively represent the voltage mean and the rated voltage;

[0060] Mark the maximum and minimum values of the voltage within the set time interval, and subtract the minimum value from the maximum value to obtain the voltage fluctuation of the renewable energy access point within the set time interval;

[0061] Extract the voltage standard deviation, voltage deviation, and voltage fluctuation of the renewable energy access point within the set time interval and mark them as , preset The corresponding normal voltage standard deviation, allowable voltage deviation, and normal voltage fluctuation are represented by ;

[0062] According to the formula , calculate the voltage standard deviation, voltage deviation, and voltage fluctuation of the renewable energy access point within the set time interval, so as to obtain the voltage state value cad of the renewable energy access point within the set time interval; where respectively represent the influence weight factors corresponding to the voltage standard deviation, voltage deviation, and voltage fluctuation;

[0063] It should be noted that the voltage state value cad is the result obtained by comprehensively considering factors such as voltage standard deviation, deviation, and fluctuation. It can intuitively reflect the degree of voltage deviation from the normal state, which helps the operation and maintenance personnel determine the adjustment strength and range.

[0064] Obtain the rated current corresponding to the transformer, and calculate the ratio between the current average value and the rated current within the set time interval; that is, through current average value / rated current; obtain the current overload value of the renewable energy access point within the set time interval;

[0065] Extract the current standard deviation and current overload value of the renewable energy access point within the set time interval and mark them respectively as , preset The corresponding normal current standard deviation and allowable current overload value respectively, represented by ;

[0066] According to the formula , calculate the current standard deviation and current overload value of the renewable energy access point within the set time interval, so as to obtain the current state value cat of the renewable energy access point within the set time interval; where respectively represent the influence weight factors corresponding to the current standard deviation and current overload value;

[0067] It should be noted that the current state value cat, as a quantitative index, can intuitively reflect the degree of current deviation from the normal state. The operation and maintenance personnel can determine the adjustment strength and range according to the specific value of cat.

[0068] Take the voltage state value cad and current state value cat of the renewable energy access point within the set time interval as the length value and width value of the rectangle respectively, and construct a rectangle, and use the constructed rectangle as the electrical evaluation model of the renewable energy access point in the current set time interval;

[0069] The specific calculation process of the power evaluation model is as follows:

[0070] Extract the active power and reactive power of each time node of the renewable energy access point within the set time interval;

[0071] Calculate the first-order difference of the active power of each time node within the set time interval, that is, through the formula , where represents the active power of the i-th time node;

[0072] Calculate the mean and standard deviation of the calculation results of each group of first-order differences respectively, and obtain the mean of the first-order differences and the standard deviation of the first-order differences of the active power at each time node within the set time interval;

[0073] For the reactive power and active power at each time node of the renewable energy access point within the set time interval, calculate the mean value, so as to obtain the mean value of the reactive power and the mean value of the active power of the renewable energy access point within the set time interval;

[0074] Calculate the ratio of the mean reactive power to the mean active power, so as to obtain the reactive power balance value of the renewable energy access point within the set time interval; that is, it is calculated by the mean reactive power / mean active power. This ratio reflects the proportion of the reactive power relative to the active power and can be used to evaluate the balance degree of the reactive power;

[0075] Extract the mean of the first-order differences and the standard deviation of the first-order differences of the renewable energy access point within the set time interval and mark them respectively as , preset The corresponding allowable mean of the first-order differences and the allowable standard deviation of the first-order differences are represented by ;

[0076] After calculating the mean of the first-order differences and the standard deviation of the first-order differences through the formula , They are the influence weight factors corresponding to the mean of the first-order differences and the standard deviation of the first-order differences respectively;

[0077] After the calculation is completed, take the calculation result M and the reactive power balance value as the length value and width value of the rectangle respectively, and construct a rectangle. Take the constructed rectangle as the power evaluation model of the renewable energy access point in the current set time interval;

[0078] It should be noted that combining the mean of the first-order differences, the standard deviation of the first-order differences and parameters such as the reactive power balance value provides comprehensive information for the subsequent adjustment of the transformer from two dimensions of active power change and reactive power balance.

[0079] Historical evaluation: Input the electrical evaluation model and power evaluation model of the renewable energy access point in the current set time interval into the pre-constructed historical database for matching, so as to determine the feasible control scheme of the amorphous alloy dry-type power transformer in the next set time interval; The historical database stores the corresponding transformer control schemes and their effects under different combinations of previous electrical evaluation values and power evaluation values;

[0080] It should be noted that when the electrical evaluation model and power evaluation model of the renewable energy access point in the current set time interval are matched in the pre-constructed historical database, if the determination result of the feasibility control scheme is lower than the preset expected value; the expected value is the lowest reference allowable index corresponding to the implementation effect index gc; then it is determined that the historical evaluation fails, that is, there is no suitable scheme in the historical database or the effect of the historical scheme is not good, and it is determined that the historical evaluation fails, and the electrical evaluation model and power evaluation model are sent to the technical personnel for evaluation; the technical personnel evaluate these data based on their professional knowledge and experience; after evaluation, the technical personnel determine the feasibility control scheme of the amorphous alloy dry-type power transformer in the next set time interval, and input the feasibility control scheme, electrical evaluation model and power evaluation model determined by the technical personnel into the historical database for update, so as to be referenced when encountering similar situations in the future.

[0081] Specifically:

[0082] Extract the model set corresponding to each group of historical feasibility control schemes in the historical database; the model set includes the historical electrical evaluation model and the historical power evaluation model;

[0083] Obtain the area values of the electrical evaluation model and power evaluation model of the renewable energy access point in the current set time interval to obtain the electrical face value and power face value; mark the area values of the historical electrical evaluation model and historical power evaluation model as the electrical face value reference value and power face value reference value respectively;

[0084] Calculate the ratio of the electrical face value to the electrical face value reference value, and calculate the difference between the calculated ratio and the integer one, and take the absolute value of the calculated difference to obtain the electrical similarity value; the ratio calculation is through the electrical face value / electrical face value reference value;

[0085] Calculate the ratio of the power face value to the power face value reference value, and calculate the difference between the calculated ratio and the integer one, and take the absolute value of the calculated difference to obtain the power similarity value; the ratio calculation is through the power face value / power face value reference value;

[0086] Set the weight coefficients corresponding to the electrical similarity value and the power similarity value respectively, multiply the electrical similarity value and the power similarity value by the corresponding weight coefficients respectively, and then sum to obtain the model similarity evaluation value gh1;

[0087] Calculate the differences between the rectangular length values and rectangular width values of the electrical evaluation model and the historical electrical evaluation model respectively, and accumulate the two groups of calculated differences to obtain the electrical similarity difference;

[0088] Calculate the differences between the rectangular length values and rectangular width values of the power evaluation model and the historical power evaluation model respectively, and accumulate the two sets of calculated differences to obtain the work similarity difference;

[0089] Set the weight coefficients corresponding to the electrical similarity difference and the work similarity difference respectively, multiply the electrical similarity difference and the work similarity difference by the corresponding weight coefficients respectively, and then sum them to obtain the model similarity evaluation binary value gh2;

[0090] Preset the ideal evaluation value and the ideal evaluation value corresponding to the model similarity evaluation value gh1 and the model similarity evaluation binary value gh2 respectively, and mark them as gy1 and gy2 respectively;

[0091] According to the formula Calculate the model similarity evaluation value gh1 and the model similarity evaluation binary value gh2 to obtain the implementation effect index gc of each group of historical feasibility control schemes in the historical database; They are the influence weight factors of the model similarity evaluation value gh1 and the model similarity evaluation binary value gh2 respectively;

[0092] Select the historical feasibility control scheme with the highest implementation effect index gc as the feasibility control scheme of the amorphous alloy dry-type power transformer in the next set time interval;

[0093] Through matching, the historical record most similar to the current situation can be found, so as to determine the feasibility control scheme of the amorphous alloy dry-type power transformer in the next set time interval;

[0094] Decision execution: After determining the feasibility control scheme of the amorphous alloy dry-type power transformer in the next set time interval, perform corresponding control adjustments on the transformer according to the content of the feasibility control scheme; the feasibility control scheme includes but is not limited to adjusting the tap position of the transformer, enhancing capacitive reactive power, controlling the switching of reactive power compensation devices, adjusting the transformer load rate, etc.;

[0095] By collecting the power parameters of the renewable energy access point in real time, conducting data analysis and evaluation, combining historical experience and the professional judgment of technicians to determine the control scheme, and finally performing control adjustments, it can effectively cope with the volatility and intermittency of renewable energy, ensure the stable operation of the amorphous alloy dry-type power transformer, improve the power quality and reliability of the power grid. At the same time, the continuous update and improvement of the historical database also help to improve the accuracy and effectiveness of the control scheme;

[0096] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only the specific embodiments. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. Amorphous alloy dry-type power transformer control method for renewable energy access, characterized in that: include: Data processing: When the preset control evaluation cycle is reached, the power parameters of the amorphous alloy dry-type power transformer corresponding to the renewable energy access point within the set time interval are extracted, and the changes in the power parameters are analyzed to obtain the electrical evaluation model and power evaluation model of the amorphous alloy dry-type power transformer corresponding to the renewable energy access point within the set time interval; the power parameters include voltage, current, active power and reactive power; Analyze the changes in voltage and current in power parameters, specifically: Extract the voltage and current of the renewable energy access point at each time node within the set time interval and remove abnormal values; After removing the outliers, the mean and standard deviation of the voltage and current at each time node are calculated, so as to obtain the voltage mean, voltage standard deviation, current mean and current standard deviation of the renewable energy access point within the set time interval; Substitute the voltage mean value and rated voltage within the set time interval into the formula Calculate and obtain the voltage deviation of the renewable energy access point within the set time interval; Represent the mean voltage and rated voltage respectively; Mark the maximum and minimum values ​​of the voltage within the set time interval, and subtract the minimum value from the maximum value to obtain the voltage fluctuation of the renewable energy access point within the set time interval; The voltage standard deviation, voltage deviation and voltage fluctuation of the renewable energy access point within the set time interval are extracted and marked as , preset The corresponding normal voltage standard deviation, allowable voltage deviation and normal voltage fluctuation are express; According to the formula , the voltage standard deviation, voltage deviation and voltage fluctuation of the renewable energy access point within the set time interval are calculated, so as to obtain the voltage state value cad of the renewable energy access point within the set time interval; wherein Respectively represent the impact weight factors corresponding to the voltage standard deviation, voltage deviation and voltage fluctuation; The ratio between the current average value and the rated current within the set time interval is calculated to obtain the current overload value of the renewable energy access point within the set time interval; The current standard deviation and current overload value of the renewable energy access point within the set time interval are extracted and marked as , the preset corresponding normal current standard deviation and allowable current overload value are expressed by; According to the formula , the current standard deviation and current overload value of the renewable energy access point within the set time interval are calculated, so as to obtain the current state value cat of the renewable energy access point within the set time interval; wherein Respectively represent the influence weight factors corresponding to the current standard deviation and the current overload value; The voltage state value cad and the current state value cat of the renewable energy access point in the set time interval are used as the length value and the width value of the rectangle respectively, and a rectangle is constructed, and the constructed rectangle is used as the electrical evaluation model of the renewable energy access point in the current set time interval; Historical evaluation: The electrical evaluation model and power evaluation model of the renewable energy access point in the current set time interval are input into the pre-built historical database for matching, so as to determine the feasible control scheme of the amorphous alloy dry-type power transformer in the next set time interval; Decision execution: After determining the feasible control scheme for the amorphous alloy dry-type power transformer in the next set time interval, the transformer is controlled and adjusted accordingly according to the content of the feasible control scheme.

2. The control method of amorphous alloy dry-type power transformer for renewable energy access according to claim 1 is characterized in that: Analyze the changes in active power and reactive power in power parameters, specifically: Extract the active power and reactive power of the renewable energy access point at each time node within a set time interval; Calculate the first-order difference of active power at each time node within the set time interval, that is, through the formula ,in represents the active power at the i-th time node; The mean and standard deviation of each group of calculation results of the first-order difference are calculated respectively to obtain the first-order difference mean and first-order difference standard deviation of the active power at each time node in the set time interval; For the reactive power and active power of the renewable energy access point at each time node within the set time interval, the average value is calculated, so as to obtain the average value of the reactive power and the average value of the active power of the renewable energy access point within the set time interval; The ratio of the reactive power mean value to the active power mean value is calculated to obtain the reactive power balance value of the renewable energy access point within a set time interval.

3. The control method of amorphous alloy dry-type power transformer for renewable energy access according to claim 2 is characterized in that: The power evaluation model of the amorphous alloy dry-type power transformer corresponding to the renewable energy access point in the set time interval is obtained, which is: The first-order difference mean and first-order difference standard deviation of the renewable energy access point within the set time interval are extracted and marked as , preset The corresponding allowable first-order difference mean and allowable first-order difference standard deviation are expressed as express; By formula After calculating the first-order difference mean and first-order difference standard deviation, are the impact weight factors corresponding to the first-order difference mean and the first-order difference standard deviation respectively; After the calculation is completed, the calculation result M and the reactive power balance value are used as the length and width of the rectangle respectively, and a rectangle is constructed. The constructed rectangle is used as the power evaluation model of the renewable energy access point in the current set time interval.

4. The control method of amorphous alloy dry-type power transformer for renewable energy access according to claim 3 is characterized in that: The electrical evaluation model and power evaluation model of the renewable energy access point in the current set time interval are input into the pre-built historical database for matching, specifically: Extracting the model set corresponding to each group of historical feasible control schemes in the historical database; wherein the model set includes a historical electrical evaluation model and a historical power evaluation model; Obtaining the area values ​​of the electrical assessment model and the power assessment model of the renewable energy access point in the current set time interval to obtain the electrical face value and the power face value; marking the area values ​​of the historical electrical assessment model and the historical power assessment model as the electrical face value reference value and the power face value reference value, respectively; The ratio of the electrical face value to the electrical face value reference value is calculated, and the difference between the calculated ratio and the integer one is calculated, and the electrical similarity value is obtained by taking the absolute value of the calculated difference; The power face value and the power face value reference value are calculated as a ratio, and the calculated ratio is calculated as a difference with the integer one, and the absolute value of the calculated difference is taken to obtain a power similarity value; The weight coefficients corresponding to the electrical similarity value and the power similarity value are set respectively, and the electrical similarity value and the power similarity value are multiplied by the corresponding weight coefficients respectively, and then the sum is obtained to obtain a model similarity evaluation value gh1; The difference between the rectangle length value and the rectangle width value of the electrical evaluation model and the historical electrical evaluation model is calculated respectively, and the two sets of calculated difference values ​​are accumulated to obtain the electrical similarity difference value; The difference between the rectangle length value and the rectangle width value of the power evaluation model and the historical power evaluation model is calculated respectively, and the two sets of calculated difference values ​​are accumulated to obtain the power similarity difference value; The weight coefficients corresponding to the electrical similarity difference and the work similarity difference are set respectively, and the electrical similarity difference and the work similarity difference are multiplied by the corresponding weight coefficients respectively, and then the sum is obtained to obtain the model similarity evaluation binary value gh2.

5. The control method of amorphous alloy dry-type power transformer for renewable energy access according to claim 4 is characterized in that: Determine the feasibility control scheme of the amorphous alloy dry-type power transformer in the next set time interval, specifically: The ideal evaluation value 1 and the ideal evaluation value 2 corresponding to the preset model similarity evaluation value gh1 and the model similarity evaluation value gh2 are marked as gy1 and gy2 respectively; According to the formula Calculate the similarity evaluation first value gh1 and the model similarity evaluation second value gh2 to obtain the implementation effect index gc of each group of historical feasibility control plans in the historical database; They are the impact weight factors of the similarity assessment value gh1 and the model similarity assessment value gh2 respectively; The historically feasible control scheme with the highest implementation effect index gc is selected as the feasible control scheme for the amorphous alloy dry-type power transformer in the next set time interval.

6. The control method of amorphous alloy dry-type power transformer for renewable energy access according to claim 5, characterized in that: The feasibility control scheme of the amorphous alloy dry-type power transformer in the next set time interval also includes: If the electrical evaluation model and power evaluation model of the renewable energy access point in the current set time interval are matched in the pre-built historical database, the implementation effect index gc of each group of historical feasibility control schemes is lower than the set minimum reference allowable index; then it is determined that the historical evaluation has failed, and the electrical evaluation model and the power evaluation model are sent to the technician for evaluation. After the evaluation, the technician determines the feasibility control scheme of the amorphous alloy dry-type power transformer in the next set time interval, and inputs the feasibility control scheme, electrical evaluation model and power evaluation model determined by the technician into the historical database for updating.

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