An intelligent control and monitoring system for power transformers

Abstract

The present invention discloses an intelligent control and monitoring system for power transformers, which relates to the technical field of transformer control. The present invention comprises an inverter monitoring module, a transformer control module, a transformer monitoring module, and a database. The present invention first collects inverter power data through the inverter monitoring module and determines whether to connect a transformer based on an inverter power model. The transformer control module uses historical connection data and grid fluctuation data to screen available transformers using a transformer usage model, determines the parallel or non-parallel connection type based on a grid fluctuation index, and optimizes the connection scheme based on a connection effect index. The transformer monitoring module collects inverter stability data after the transformer is connected and dynamically adjusts the transformer control strategy. The system implements intelligent decision-making and optimization of transformer connections through multi-model analysis and data linkage, thereby improving the stability and energy efficiency of the power system.

Description

Technical Field

[0001] The present invention relates to the technical field of transformer control, and in particular to an intelligent control and monitoring system for a power transformer. Background Art

[0002] In the power system, power transformers are the core equipment for power transmission and distribution. Their operating status directly affects the stability and reliability of power supply. With the advancement of smart grid construction, an intelligent control and monitoring system for power transformers is needed.

[0003] Traditional transformer control relies heavily on manual experience and simple relay protection devices, and is unable to dynamically optimize based on real-time grid changes and equipment operating status. Faced with complex and changing grid loads and power quality issues, it is difficult to accurately match the connection requirements between the inverter and transformer, resulting in increased power loss and shortened equipment life.

[0004] Traditional inverter transformer monitoring methods can only process a single type of data in isolation, monitoring only voltage or current. They are unable to integrate multi-dimensional information such as inverter status, grid fluctuations, and historical transformer operating data to make comprehensive decisions. This leads to delayed or misjudgment of complex grid conditions, and is unable to analyze excessive harmonics and sudden load changes. Transformer monitoring can often only provide simple fault warnings, unable to predict potential equipment risks in advance, and difficult to adaptively adjust the transformer connection method, seriously affecting the overall operating efficiency and safety of the power system. Summary of the Invention

[0005] In view of the above-mentioned technical deficiencies, the object of the present invention is to provide an intelligent control and monitoring system for power transformers.

[0006] To solve the above technical problems, the present invention adopts the following technical solution: The present invention provides an intelligent control and monitoring system for power transformers, comprising the following modules: an inverter monitoring module, for collecting inverter power data, analyzing the inverter power data based on the inverter power model, and then determining whether to connect the transformer.

[0007] The transformer control module is used to obtain the historical connection data of each transformer from the database before connecting the transformer, analyze the historical connection data of each transformer based on the transformer usage model, obtain each available transformer, collect power grid fluctuation data, analyze the power grid fluctuation data, determine the transformer connection type, and perform connection tests on each available transformer, collect connection effect data of each available transformer, analyze the connection effect data of each available transformer according to the transformer connection type, and perform transformer control.

[0008] The transformer monitoring module is used to collect inverter stability data after the transformer is connected, analyze the inverter stability data, and optimize transformer control based on the analysis results.

[0009] Preferably, the connection effect data of each available transformer is analyzed, and the specific analysis process is as follows: the connection effect data of each available transformer includes the load rate, voltage deviation rate and energy conversion efficiency index of each available transformer, and the load rate, voltage deviation rate and energy conversion efficiency index of each available transformer are substituted into the transformer connection effect index calculation formula to obtain the transformer connection effect index of each available transformer.

[0010] The transformer control process is as follows: if the transformer connection type is non-parallel connection, select the available transformer with the largest transformer connection effect index for transformer connection and connect it to the inverter. If the transformer connection type is parallel connection, obtain the standard transformer connection effect index from the database, and record each available transformer with a transformer connection effect index greater than the standard transformer connection effect index as the required transformer. Each required transformer is connected in parallel and connected to the inverter.

[0011] The beneficial effects of the present invention are: 1. The present invention first collects inverter power data through the inverter monitoring module, and determines whether to connect the transformer based on the inverter power model; the transformer control module uses historical connection data and grid fluctuation data to screen available transformers through the transformer usage model, and determines the parallel or non-parallel connection type in combination with the grid fluctuation index, and optimizes the connection plan according to the connection effect index; the transformer monitoring module collects inverter stability data after connection, and dynamically adjusts the control strategy. The system realizes intelligent decision-making and optimization of transformer connection through multi-model analysis and data linkage, thereby improving the stability and energy efficiency of the power system.

[0012] 2. Conduct connection tests on available transformers, collect data such as load rate, voltage deviation rate, and energy conversion efficiency, and rank them through analysis: In non-parallel scenarios, directly select the transformer with the highest index to ensure the efficiency of single-point access. In parallel scenarios, screen transformer combinations with indexes higher than the standard value to balance capacity and energy efficiency, reduce the impact of uneven transformer loading or overload, and extend equipment life.

[0013] 3. The present invention can monitor the operating status of inverters and transformers in real time, dynamically optimize the control strategy based on stability data, adjust the connection mode in time, effectively resist abnormal impacts of the power grid, enhance system redundancy and fault tolerance, and address the situation of insufficient stability: in non-parallel scenarios, the original single-unit connection is upgraded to parallel mode to enhance the system buffering capacity; in parallel scenarios, the correction factor is dynamically adjusted based on the historical optimization times, the standard threshold is increased, a higher-performance transformer combination is screened, and the closed-loop mechanism is optimized. It can sustainably adapt to long-term operation challenges such as equipment aging and load changes, and reduce the cost of manual intervention. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. 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.

[0015] Figure 1 This is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0017] according to Figure 1 As shown, the present invention provides an intelligent control and monitoring system for power transformers, comprising the following modules: an inverter monitoring module, a transformer control module, a transformer monitoring module and a database.

[0018] The transformer control module is connected to the inverter monitoring module and the transformer monitoring module respectively. The inverter monitoring module, the transformer control module and the transformer monitoring module are all connected to a database.

[0019] The inverter monitoring module is used to collect inverter power data, analyze the inverter power data based on the inverter power model, and then determine whether to connect the transformer.

[0020] In a specific embodiment, the inverter power data is collected, and the specific collection process is as follows: the inverter power data includes the output frequency, waveform distortion rate and power factor of the inverter. The output frequency of the inverter is collected by a digital multimeter, the waveform distortion rate of the inverter is collected by the harmonic analysis function of the power quality analyzer, and the active power and apparent power of the inverter are collected by the power analyzer. The active power of the inverter is divided by the apparent power to obtain the power factor of the inverter.

[0021] In a specific embodiment, the inverter power data is analyzed, and the specific analysis process is as follows: the inverter power data including the output frequency, waveform distortion rate and power factor of the inverter are input into the inverter power model to obtain the output result of the inverter power model. The output result value of the inverter power model includes 0 and 1.

[0022] When the output result of the inverter power model is 1, the transformer connection is performed, and when the output result of the inverter power model is 0, the transformer connection is not performed.

[0023] In a specific embodiment, the inverter power model expression is: ,in, is the output result of the inverter power model, 、 and are the output frequency, waveform distortion rate and power factor of the inverter respectively, 、 and They are respectively the preset standard inverter output frequency, standard inverter waveform distortion rate and standard inverter power factor, and are the preset inverter waveform distortion rate weight factor and inverter power factor weight factor respectively, , , , N is the standard inverter power usage index preset in the database.

[0024] It should be noted that the standard parameters 、 and They are the preset inverter output frequency threshold, inverter waveform distortion rate threshold and inverter power factor threshold. When the inverter output frequency is less than the threshold, it indicates that the current inverter output frequency is low and a transformer needs to be connected. When the inverter waveform distortion rate is greater than the threshold or the inverter power factor is greater than the threshold, it indicates that the current inverter is unstable. In order to reduce the impact of stability, when analyzing the inverter output frequency, the analyzed inverter output frequency value is regarded as a value lower than the collected value. Standard parameters 、 and The specific value of is set by the staff, for example 1.8, is 0.3 and The weight factor is 0.6. and They are obtained by staff through multiple experiments, and the specific values ​​are set by staff, such as is 0.4 and is 0.6, the standard parameter N and the standard parameter The setting process is the same as that for the staff, for example, N is 0.96.

[0025] The transformer control module is used to obtain the historical connection data of each transformer from the database before connecting the transformer, analyze the historical connection data of each transformer based on the transformer usage model, obtain each available transformer, collect power grid fluctuation data, analyze the power grid fluctuation data, determine the transformer connection type, and perform connection tests on each available transformer, collect connection effect data of each available transformer, analyze the connection effect data of each available transformer according to the transformer connection type, and perform transformer control.

[0026] In a specific embodiment, the historical connection data of each transformer is obtained from the database, and the specific acquisition process is as follows: the historical connection data of each transformer includes the operating time of each transformer, the load rate of the current inverter voltage, the failure rate of the current inverter voltage, the power factor of the current inverter voltage and the output frequency change index of the current inverter voltage. The operating time of each transformer, the operating time of the current inverter voltage, the number of failures of the current inverter voltage and the number of frequency types of the current inverter voltage are obtained through the work log in the database. The number of failures of the current inverter voltage is divided by the corresponding operating time to obtain the failure rate of the current inverter voltage. The number of frequency types of the current inverter voltage is divided by the corresponding operating time to obtain the frequency change index of the current inverter voltage.

[0027] The actual output power, rated power, active power, and apparent power are collected through a power analyzer. The actual output power is divided by the rated power to obtain the load rate, and the active power is divided by the apparent power to obtain the power factor. In this way, the load rate and power factor of each historical collection of the current inverter voltage of each transformer are obtained. The load rate of the current inverter voltage of each transformer and the power factor of the current inverter voltage are calculated by averaging.

[0028] In a specific embodiment, the historical connection data of each transformer is analyzed, and the specific analysis process is as follows: the operating time of each transformer, the load rate of the current inverter voltage, the failure rate of the current inverter voltage, the power factor of the current inverter voltage and the output frequency change index of the current inverter voltage are input into the transformer usage model to obtain the transformer usage model output result of each transformer, and the numerical value of the transformer usage model output result includes 0 and 1.

[0029] If the output result of a transformer is 1, it indicates that the transformer is unavailable. If the output result of a transformer is 0, it indicates that the transformer is available and recorded as an available transformer. In this way, all available transformers are obtained.

[0030] In a specific embodiment, the transformer usage model expression is: ,in, The transformer usage model output result of transformer a, a is the number of each transformer, and the value of a is a positive integer. 、 、 、 and They are respectively the operating time of transformer a, the load rate of the current inverter voltage, the failure rate of the current inverter voltage, the power factor of the current inverter voltage and the output frequency change index of the current inverter voltage, 、 、 、 and The standard transformer operating time, standard transformer load rate, standard transformer failure rate, standard transformer power factor and standard transformer output frequency change index are preset respectively. 、 、 and are the preset transformer load rate weight factor, transformer failure rate weight factor, transformer power factor weight factor and transformer output frequency change index weight factor, , , , , , M is the standard transformer usage index preset in the database.

[0031] It should be noted that the standard parameters 、 、 、 、 and M with standard parameters The setup process is the same and is done by staff, for example For 6, 0.6, 0.1, 0.6, is 0.3 and M is 1.11, the weighting factor 、 、 and With weight factor The setup process is the same and is done by staff, for example 0.5, 0.2, is 0.2 and is 0.1.

[0032] In a specific embodiment, the grid fluctuation data is collected, and the specific collection process is as follows: the grid fluctuation data includes the voltage fluctuation index, frequency deviation index and load change index of the grid. The maximum voltage and minimum voltage within a preset time period are collected through a power quality analyzer, and the rated voltage of the grid is obtained from the database. The difference between the maximum voltage and the minimum voltage within the preset time period is divided by the rated voltage of the grid to obtain the voltage fluctuation index of the grid.

[0033] The grid frequency is monitored through a frequency table, and the rated frequency of the grid is obtained from the database. The difference between the grid frequency and the rated frequency of the grid is subtracted and divided by the rated frequency of the grid to obtain the frequency deviation index of the grid. If the frequency deviation index of the grid is less than the preset reference frequency deviation index, the value of the frequency deviation index of the grid is the reference frequency deviation index.

[0034] The active power of the power grid is collected through a smart electricity meter to obtain the active power collected each time within a preset time and the current active power. The average of the active power collected each time within the preset time and the current active power is calculated to obtain the average active power of the power grid. The difference between the current active power of the power grid and the average active power is subtracted from the average active power and divided by the average active power to obtain the load change index of the power grid. If the load change index of the power grid is less than the preset benchmark load change index, the value of the load change index of the power grid is the benchmark load change index.

[0035] In a specific embodiment, the transformer connection type is determined, and the specific determination process is as follows: the transformer connection type includes parallel connection and non-parallel connection.

[0036] Substitute the voltage fluctuation index, frequency deviation index and load change index of the power grid into the power grid fluctuation index calculation formula to obtain the power grid fluctuation index, and obtain the standard power grid fluctuation index from the database. If the power grid fluctuation index is greater than the preset standard power grid fluctuation index, use parallel connection; if the power grid fluctuation index is less than or equal to the preset standard power grid fluctuation index, use non-parallel connection.

[0037] It should be noted that the calculation formula for the power grid fluctuation index is: ,in, is the power grid fluctuation index, e is a natural constant, 、 and are the voltage fluctuation index, frequency deviation index and load change index of the power grid respectively. 、 and They are the preset standard grid voltage fluctuation index, standard grid frequency deviation index and standard grid load change index, 、 and are the preset grid voltage fluctuation index weight factor, grid frequency deviation index weight factor and grid load change index weight factor, respectively. , , , .

[0038] Standard parameters 、 and With standard parameters The setup process is the same and is done by staff, for example 0.6, is 0.8, and The weight factor is 0.71. 、 and With weight factor The setup process is the same and is done by staff, for example 0.5, is 0.2 and is 0.3.

[0039] In a specific embodiment, the connection effect data of each available transformer is collected, and the specific collection process is as follows: the connection effect data of each available transformer includes the load rate, voltage deviation rate and energy conversion efficiency index of each available transformer, simulates the current power environment of the inverter, inputs the simulated current to each available transformer, collects the actual output power and rated power through the power analyzer, divides the actual output power by the rated power to obtain the load rate, and thus obtains the load rate of each available transformer.

[0040] The voltage of each available transformer is collected through a voltmeter, and the rated voltage of the low-voltage side of the inverter is obtained from the database. The difference between the voltage of each available transformer and the rated voltage of the low-voltage side of the inverter is subtracted and divided by the rated voltage of the low-voltage side of the inverter to obtain the voltage deviation rate of each available transformer.

[0041] The input active power and output active power of each available transformer are collected by a power analyzer, and the output active power of each available transformer is divided by the input active power to obtain the energy conversion efficiency index of each available transformer.

[0042] In a specific embodiment, the connection effect data of each available transformer is analyzed, and the specific analysis process is as follows: the load rate, voltage deviation rate and energy conversion efficiency index of each available transformer are substituted into the transformer connection effect index calculation formula to obtain the transformer connection effect index of each available transformer.

[0043] The transformer control process is as follows: if the transformer connection type is non-parallel connection, select the available transformer with the largest transformer connection effect index for transformer connection and connect it to the inverter. If the transformer connection type is parallel connection, obtain the standard transformer connection effect index from the database, and record each available transformer with a transformer connection effect index greater than the standard transformer connection effect index as the required transformer. Each required transformer is connected in parallel and connected to the inverter.

[0044] It should be noted that the calculation formula for the transformer connection effect index is: ,in, is the transformer connection effect index of the available transformer b, b is each available transformer, and the value of b is a positive integer. 、 and are the load rate, voltage deviation rate and energy conversion efficiency index of the available transformer b, 、 and They are the preset standard transformer test load rate, standard transformer test voltage deviation rate and standard transformer test energy conversion efficiency index, 、 and They are the preset transformer test load rate weight factor, transformer test voltage deviation rate weight factor and transformer test energy conversion efficiency index weight factor, , , , .

[0045] Standard parameters 、 and With standard parameters The setup process is the same and is done by staff, for example 0.6, is 0.2 and The weight factor is 0.8. 、 and With weight factor The setup process is the same and is done by staff, for example 0.4, is 0.2 and is 0.4.

[0046] The transformer monitoring module is used to collect inverter stability data after the transformer is connected, analyze the inverter stability data, and optimize transformer control based on the analysis results.

[0047] In a specific embodiment, the inverter stability data is collected, and the specific collection process is as follows: the inverter stability data includes the inverter operating temperature, the inverter operating vibration amplitude, the inverter operating noise sound pressure level, the inverter operating harmonic distortion rate and the inverter operating output loss rate. The inverter operating temperature is collected by a temperature sensor, the inverter operating vibration amplitude is collected by a vibration tester, the inverter operating noise sound pressure level is collected by a sound level meter, the inverter operating harmonic distortion rate is collected by the harmonic analysis function of the power quality analyzer, and the input power and output power are collected by a power analyzer. The difference between the input power and the output power is divided by the input power to obtain the output loss rate, thereby obtaining the inverter operation output loss rate.

[0048] In a specific embodiment, the inverter stability data is analyzed, and the specific analysis process is as follows: the inverter operating temperature, the inverter operating vibration amplitude, the inverter operating noise sound pressure level, the inverter operating harmonic distortion rate and the inverter operating output loss rate are substituted into the inverter stability index calculation formula to obtain the inverter stability index.

[0049] It should be noted that the calculation formula for the inverter stability index is: , where H is the inverter stability index, 、 、 、 and They are the inverter operating temperature, inverter operating vibration amplitude, inverter operating noise sound pressure level, inverter operating harmonic distortion rate and inverter operating output loss rate, 、 、 、 and They are respectively the preset standard inverter operating temperature, standard inverter operating vibration amplitude, standard inverter operating noise sound pressure level, standard inverter operating harmonic distortion rate and standard inverter operating output loss rate. 、 、 、 and They are respectively the preset inverter operating temperature weight factor, inverter operating vibration amplitude weight factor, inverter operating noise sound pressure level weight factor, inverter operating harmonic distortion rate weight factor and inverter operating output loss rate weight factor, , , , , , , .

[0050] Standard parameters 、 、 、 and With standard parameters The setup process is the same and is done by staff, for example For 26, 0.9, 40, 0.05, is 0.1 and M is 1.11, the weighting factor 、 、 、 and With weight factor The setup process is the same and is done by staff, for example 0.3, 0.3, 0.4, is 0.6 and is 0.4.

[0051] In a specific embodiment, the transformer control optimization is performed, and the specific optimization process is as follows: a standard inverter stability index is obtained from a database; if the inverter stability index is greater than or equal to a preset standard inverter stability index, transformer control optimization is not performed; if the inverter stability index is less than the preset standard inverter stability index, transformer control optimization is performed.

[0052] If the transformer connection type is non-parallel connection, all available transformers whose transformer connection effect index is greater than the standard transformer connection effect index are connected in parallel and connected to the inverter. If the transformer connection type is parallel connection, the current transformer optimization times and the optimization correction factors corresponding to each optimization time are obtained from the database to obtain the current transformer optimization correction factor. The standard transformer connection effect index is multiplied by the transformer optimization correction factor to obtain the current transformer optimization connection effect index. All available transformers whose transformer connection effect index is greater than the current transformer optimization connection effect index are connected in parallel and connected to the inverter.

[0053] The database is used to store the historical connection data of each transformer, the standard inverter power usage index, the standard transformer usage index, the standard grid fluctuation index, the standard transformer connection effect index, the standard inverter stability index, the current transformer optimization times, the optimization correction factor corresponding to each optimization time, the work log, the rated voltage of the grid, the rated frequency of the grid and the rated voltage of the low-voltage side of the inverter.

[0054] The above content is merely an example and explanation of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the scope of protection of the present invention.

Claims

1. An intelligent control and monitoring system for power transformers, characterized in that: Includes the following modules: The inverter monitoring module is used to collect inverter power data, analyze the inverter power data based on the inverter power model, and then determine whether to connect the transformer; The transformer control module is used to obtain the historical connection data of each transformer from the database before connecting the transformer, analyze the historical connection data of each transformer based on the transformer usage model, obtain each available transformer, collect power grid fluctuation data, analyze the power grid fluctuation data, determine the transformer connection type, and perform connection tests on each available transformer, collect connection effect data of each available transformer, analyze the connection effect data of each available transformer according to the transformer connection type, and perform transformer control; The transformer monitoring module is used to collect inverter stability data after the transformer is connected, analyze the inverter stability data, and optimize transformer control based on the analysis results.

2. The intelligent control and monitoring system for power transformers according to claim 1, characterized in that: The inverter power data is analyzed, and the specific analysis process is as follows: The inverter power data includes an output frequency, a waveform distortion rate, and a power factor of the inverter. The inverter power data including the output frequency, the waveform distortion rate, and the power factor of the inverter are input into the inverter power model to obtain an output result of the inverter power model. The output result value of the inverter power model includes 0 and 1. When the output result of the inverter power model is 1, the transformer connection is performed, and when the output result of the inverter power model is 0, the transformer connection is not performed.

3. The intelligent control and monitoring system for power transformers according to claim 2, characterized in that: The inverter power model expression is: ,in, is the output result of the inverter power model, 、 and are the output frequency, waveform distortion rate and power factor of the inverter respectively, 、 and They are respectively the preset standard inverter output frequency, standard inverter waveform distortion rate and standard inverter power factor, and are the preset inverter waveform distortion rate weight factor and inverter power factor weight factor respectively, , , , N is the standard inverter power usage index preset in the database, and N is 0.

96.

4. The intelligent control and monitoring system for power transformers according to claim 1, characterized in that: The historical connection data of each transformer is analyzed, and the specific analysis process is as follows: The historical connection data of each transformer includes the operating time of each transformer, the load rate of the current inverter voltage, the failure rate of the current inverter voltage, the power factor of the current inverter voltage, and the output frequency change index of the current inverter voltage. The operating time of each transformer, the load rate of the current inverter voltage, the failure rate of the current inverter voltage, the power factor of the current inverter voltage, and the output frequency change index of the current inverter voltage are input into the transformer usage model to obtain the transformer usage model output result of each transformer. The value of the transformer usage model output result includes 0 and 1. If the output result of a transformer is 1, it indicates that the transformer is unavailable. If the output result of a transformer is 0, it indicates that the transformer is available and recorded as an available transformer. In this way, all available transformers are obtained.

5. The intelligent control and monitoring system for power transformers according to claim 4, characterized in that: The transformer usage model expression is: ,in, The transformer usage model output result of transformer a, a is the number of each transformer, and the value of a is a positive integer. 、 、 、 and They are respectively the operating time of transformer a, the load rate of the current inverter voltage, the failure rate of the current inverter voltage, the power factor of the current inverter voltage and the output frequency change index of the current inverter voltage, 、 、 、 and The standard transformer operating time, standard transformer load rate, standard transformer failure rate, standard transformer power factor and standard transformer output frequency change index are preset respectively. 、 、 and are the preset transformer load rate weight factor, transformer failure rate weight factor, transformer power factor weight factor and transformer output frequency change index weight factor, , , , , , M is the standard transformer usage index preset in the database, and M is 1.

11.

6. The intelligent control and monitoring system for power transformers according to claim 4, characterized in that: The specific process of determining the transformer connection type is as follows: Transformer connection types include parallel connection and non-parallel connection; The grid fluctuation data includes the voltage fluctuation index, frequency deviation index and load change index of the grid. The voltage fluctuation index, frequency deviation index and load change index of the grid are substituted into the grid fluctuation index calculation formula to obtain the grid fluctuation index. The standard grid fluctuation index is obtained from the database. If the grid fluctuation index is greater than the preset standard grid fluctuation index, a parallel connection is used. If the grid fluctuation index is less than or equal to the preset standard grid fluctuation index, a non-parallel connection is used.

7. The intelligent control and monitoring system for power transformers according to claim 6, characterized in that: The analysis of the connection effect data of each available transformer is carried out, and the specific analysis process is as follows: The connection effect data of each available transformer includes a load factor, a voltage deviation rate, and an energy conversion efficiency index of each available transformer. The load factor, voltage deviation rate, and energy conversion efficiency index of each available transformer are substituted into a transformer connection effect index calculation formula to obtain a transformer connection effect index of each available transformer. The transformer control process is as follows: if the transformer connection type is non-parallel connection, select the available transformer with the largest transformer connection effect index for transformer connection and connect it to the inverter. If the transformer connection type is parallel connection, obtain the standard transformer connection effect index from the database, and record each available transformer with a transformer connection effect index greater than the standard transformer connection effect index as the required transformer. Each required transformer is connected in parallel and connected to the inverter.

8. The intelligent control and monitoring system for power transformers according to claim 7, characterized in that: The inverter stability data is analyzed, and the specific analysis process is as follows: The inverter stability data includes the inverter operating temperature, the inverter operating vibration amplitude, the inverter operating noise sound pressure level, the inverter operating harmonic distortion rate and the inverter operating output loss rate. Substitute the inverter operating temperature, the inverter operating vibration amplitude, the inverter operating noise sound pressure level, the inverter operating harmonic distortion rate and the inverter operating output loss rate into the inverter stability index calculation formula to obtain the inverter stability index.

9. The intelligent control and monitoring system for power transformers according to claim 6, characterized in that: The transformer control optimization is performed, and the specific optimization process is as follows: Obtaining a standard inverter stability index from a database; if the inverter stability index is greater than or equal to a preset standard inverter stability index, not performing transformer control optimization; and if the inverter stability index is less than the preset standard inverter stability index, performing transformer control optimization; If the transformer connection type is non-parallel connection, all available transformers whose transformer connection effect index is greater than the standard transformer connection effect index are connected in parallel and connected to the inverter. If the transformer connection type is parallel connection, the current transformer optimization times and the optimization correction factors corresponding to each optimization time are obtained from the database to obtain the current transformer optimization correction factor. The standard transformer connection effect index is multiplied by the transformer optimization correction factor to obtain the current transformer optimization connection effect index. All available transformers whose transformer connection effect index is greater than the current transformer optimization connection effect index are connected in parallel and connected to the inverter.

10. The intelligent control and monitoring system for power transformers according to claim 1, characterized in that: The database is used to store the historical connection data of each transformer, the standard inverter power usage index, the standard transformer usage index, the standard grid fluctuation index, the standard transformer connection effect index, the standard inverter stability index, the current transformer optimization times and the optimization correction factors corresponding to each optimization times.

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