Amorphous alloy dry type power transformer control method for renewable energy access

Abstract

The invention discloses an amorphous alloy dry-type power transformer control method for renewable energy access, and relates to the technical field of power transformer control. According to the method, the electric power parameters of the renewable energy access point corresponding to the amorphous alloy dry-type power transformer in the set time interval are extracted, and the change condition of the electric power parameters is analyzed, so that the electric evaluation model and the power evaluation model of the renewable energy access point corresponding to the amorphous alloy dry-type power transformer in the set time interval are obtained; electric power parameters are collected and analyzed from multiple dimensions, the voltage, the current, the active power and the reactive power are covered, the operation condition of the renewable energy access point is comprehensively reflected, the problem that in the prior art, when the renewable energy generation power rapidly changes, the operation parameters of a transformer are difficult to rapidly adjust is solved, and the reliability of the transformer is improved. The self-adaptive control adjustment of the operation parameters of the transformer is realized, and the accuracy of transformer control is improved.

Description

Technical Field

[0001] The invention relates to the technical field of power transformer control, and in particular to a control method for an amorphous alloy dry-type power transformer used for accessing renewable energy. Background Art

[0002] With the widespread application of renewable energy (such as solar energy, wind energy, etc.), it faces many challenges when connecting to the power grid; renewable energy generation is intermittent and volatile, which will have a great impact on the connected power transformers. For example, frequent power changes may cause transformer temperature fluctuations, accelerate insulation aging, and reduce the service life and reliability of the transformer.

[0003] Amorphous alloy dry-type power transformers have been used in renewable energy access scenarios due to their low loss characteristics; however, the existing amorphous alloy dry-type power transformer control system still has the following shortcomings in practical applications: Most of them are designed only for traditional grid power supply modes and cannot effectively cope with the complex working conditions brought about by the access of renewable energy. As a result, when dealing with rapid changes in renewable energy power generation, for example, when clouds move quickly, solar power generation power will change rapidly. It is difficult to quickly adjust the operating parameters of the transformer, resulting in reduced transformer operating efficiency and even failures.

[0004] Therefore, an amorphous alloy dry-type power transformer control method for renewable energy access is proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the problems mentioned in the background technology and to propose a control method for an amorphous alloy dry-type power transformer for renewable energy access.

[0006] The object of the present invention can be achieved by the following technical solution: A control method for an amorphous alloy dry-type power transformer for renewable energy access, comprising: 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; 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.

[0007] As a preferred embodiment of the present invention, the changes in voltage and current in the power parameters are analyzed, 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 They respectively represent the impact weight factors corresponding to the voltage standard deviation, voltage deviation and voltage fluctuation.

[0008] As a preferred embodiment of the present invention, an electrical evaluation model of an amorphous alloy dry-type power transformer corresponding to a renewable energy access point in a set time interval is obtained, specifically: 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 , preset The corresponding normal current standard deviation and allowable current overload value are shown in express; 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 respectively used as the length value and the width value of the rectangle, and a rectangle is constructed. The constructed rectangle is used as the electrical evaluation model of the renewable energy access point in the current set time interval.

[0009] As a preferred implementation mode of the present invention, the changes of active power and reactive power in the power parameters are analyzed, specifically: Extract the active power and reactive power of the renewable energy access point at each time node within the 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.

[0010] As a preferred embodiment of the present invention, a power evaluation model of an amorphous alloy dry-type power transformer corresponding to a renewable energy access point in a set time interval is obtained, specifically: 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.

[0011] As a preferred implementation of the present invention, the electrical evaluation model and the power evaluation model of the renewable energy access point in the current set time interval are input into a 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.

[0012] As a preferred embodiment of the present invention, a feasible control scheme for the amorphous alloy dry-type power transformer in the next set time interval is determined, 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.

[0013] 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 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.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention extracts power parameters of an amorphous alloy dry-type power transformer corresponding to a renewable energy access point within a set time interval, and analyzes changes in the power parameters to obtain an electrical evaluation model and a power evaluation model of the amorphous alloy dry-type power transformer corresponding to a renewable energy access point within a set time interval. The power parameters are collected and analyzed from multiple dimensions, covering voltage, current, active power and reactive power, and the operating status of the renewable energy access point is fully reflected. The problem in the prior art that it is difficult to quickly adjust the operating parameters of the transformer when responding to rapid changes in renewable energy power generation power is solved, and adaptive control and adjustment of the transformer operating parameters is achieved, and the accuracy of transformer control is improved. The present invention constructs a historical database to store the corresponding transformer control schemes under different previous combinations of electrical evaluation values ​​and power evaluation values, inputs the electrical evaluation model and the power evaluation model of the current set time interval into the database for matching, and finds the historical records most similar to the current situation by calculating the electrical similarity value, the power similarity value, and the model similarity evaluation value. The feasible control scheme for the next set time interval is determined by reference to the historical scheme, thereby improving the control capability to cope with complex working conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0016] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0017] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] See also Figure 1 As shown, the control method of an amorphous alloy dry-type power transformer for renewable energy access includes: Data processing: Based on the preset collection equipment, the power parameters of the renewable energy access point are collected in real time; the collection equipment is various sensors, which transmit the collected analog signals (electrical signals corresponding to voltage and current) to the data acquisition card, which converts these analog signals into digital signals, and then transmits the digital signals to the data analysis center through the communication line; when the preset control evaluation cycle is reached, the data analysis center extracts the power 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 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; the power parameters include voltage, current, active power and reactive power; The specific calculation process of the electrical evaluation model is: Extract the voltage and current of the renewable energy access point at each time node within the set time interval and remove outliers; use a statistical method to identify outliers, and treat data points that deviate from the mean by more than 3 times the standard deviation as outliers and correct or remove them; 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; Get the rated voltage corresponding to the power grid, and 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; It should be noted that the voltage state value CAD is the result obtained after comprehensively considering factors such as voltage standard deviation, deviation and fluctuation. It can intuitively reflect the degree to which the voltage deviates from the normal state, which helps operation and maintenance personnel determine the intensity and scope of adjustment.

[0019] The rated current corresponding to the transformer is obtained, and the ratio between the current average value and the rated current within the set time interval is calculated; that is, the current overload value of the renewable energy access point within the set time interval is obtained by dividing the current average value by the rated current; The current standard deviation and current overload value of the renewable energy access point within the set time interval are extracted and marked as , preset The corresponding normal current standard deviation and allowable current overload value are shown in express; 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; It should be noted that the current state value cat, as a quantitative indicator, can intuitively reflect the degree to which the current deviates from the normal state. The operation and maintenance personnel can determine the intensity and range of the adjustment according to the specific value of cat.

[0020] 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; The specific calculation process of the power evaluation model is: Extract the active power and reactive power of the renewable energy access point at each time node within the 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 mean reactive power to the mean active power is calculated 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 reactive power to active power and can be used to evaluate the balance of reactive power. 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; It should be noted that combining the first-order difference mean and the first-order difference standard deviation with parameters such as reactive power balance value provides comprehensive information for subsequent transformer adjustment from two dimensions: active power change and reactive power balance.

[0021] 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; the historical database stores the corresponding transformer control schemes and their effects under different combinations of electrical evaluation values ​​and power evaluation values ​​in the past; It should be noted that 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 result of determining the feasibility control plan is lower than the preset expected value; the expected value is the minimum reference allowable index corresponding to the implementation effect index gc; then it is determined that the historical evaluation has failed, that is, there is no suitable plan in the historical database or the effect of the historical plan is not good, then it is determined that the historical evaluation has failed, and the electrical evaluation model and the power evaluation model are sent to the technicians for evaluation; the technicians evaluate these data based on their professional knowledge and experience; after the evaluation, the technicians determine the feasibility control plan of the amorphous alloy dry-type power transformer in the next set time interval, and input the feasibility control plan, electrical evaluation model and power evaluation model determined by the technicians into the historical database for update, so that they can be used as a reference when encountering similar situations in the future.

[0022] 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 after taking the absolute value of the calculated difference; the ratio calculation is performed by dividing the electrical face value by the electrical face value reference value; The power face value and the power face value reference value are calculated for the ratio, and the calculated ratio is calculated for the difference with the integer one, and the power similarity value is obtained after taking the absolute value of the calculated difference; the ratio calculation is performed by dividing the power face value by the power face value reference 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; 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; Select the historical feasible control scheme with the highest implementation effect index gc as the feasible control scheme for the amorphous alloy dry-type power transformer in the next set time interval; Through matching, the historical records most similar to the current situation can be found, so as to determine the feasible control scheme of the amorphous alloy dry-type power transformer in the next set time interval; Decision-making and 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; the feasible control scheme includes but is not limited to adjusting the tap position of the transformer, enhancing capacitive reactive power, controlling the switching of reactive compensation devices, adjusting the transformer load rate, etc.; By collecting power parameters of renewable energy access points in real time, conducting data analysis and evaluation, combining historical experience and the professional judgment of technicians to determine the control plan, and finally executing control adjustments, it can effectively deal with the volatility and intermittency of renewable energy, ensure the stable operation of amorphous alloy dry-type power transformers, and improve the power quality and reliability of the power grid. At the same time, the continuous updating and improvement of the historical database will also help improve the accuracy and effectiveness of the control plan; The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only 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; 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 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 They respectively represent the impact weight factors corresponding to the voltage standard deviation, voltage deviation and voltage fluctuation.

3. The control method of amorphous alloy dry-type power transformer for renewable energy access according to claim 2 is characterized in that: The electrical evaluation model of the amorphous alloy dry-type power transformer corresponding to the renewable energy access point in the set time interval is obtained, specifically: 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 , preset The corresponding normal current standard deviation and allowable current overload value are shown in express; 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 respectively used as the length value and the width value of the rectangle, and a rectangle is constructed. The constructed rectangle is used as the electrical 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: 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.

5. The control method of amorphous alloy dry-type power transformer for renewable energy access according to claim 4 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.

6. The control method of amorphous alloy dry-type power transformer for renewable energy access according to claim 5, 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.

7. The control method of amorphous alloy dry-type power transformer for renewable energy access according to claim 6, 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.

8. The control method of amorphous alloy dry-type power transformer for renewable energy access according to claim 7, 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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