Intelligent control monitoring system for power transformer

Abstract

The invention discloses an intelligent control monitoring system for a power transformer, which relates to the technical field of transformer control and comprises an inverter monitoring module, a transformer control module, a transformer monitoring module and a database. The method comprises the following steps: firstly, acquiring inverter power data through an inverter monitoring module, and judging whether to connect a transformer or not based on an inverter power model; the transformer control module screens out available transformers through a transformer use model by using historical connection data and power grid fluctuation data, determines a parallel connection type or a non-parallel connection type in combination with a power grid fluctuation index, and optimizes a connection scheme according to a connection effect index; the transformer monitoring module collects inverter stability data after the transformer is connected, a transformer control strategy is dynamically adjusted, the system achieves intelligent decision and optimization of transformer connection through multi-model analysis and data linkage, and the stability and energy efficiency of a power system are improved.

Description

Technical Field

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

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

[0003] Traditional transformer control mostly relies on manual experience and simple relay protection devices, and cannot perform dynamic optimization according to the real-time changes of the power grid and the operating state of the equipment. When facing complex and changeable power grid loads and power quality problems, it is difficult to accurately match the connection requirements between inverters and transformers, resulting in increased power losses and shortened equipment life.

[0004] The monitoring means of traditional inverter transformers can only process single-type data in isolation, only monitoring voltage or current, and cannot integrate multi-dimensional information such as inverter status, power grid fluctuations, and transformer historical operation data for comprehensive decision-making, resulting in lag or misjudgment of complex working condition power grids, inability to analyze harmonic over-standard and load mutation states, and transformer monitoring can often only perform simple fault warnings, unable to predict potential risks of equipment in advance, and also difficult to perform adaptive adjustment of transformer connection methods, seriously affecting the overall operating efficiency and safety of the power system. Summary of the Invention

[0005] Aiming at the above existing technical deficiencies, the purpose 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 solutions: The present invention provides an intelligent control and monitoring system for power transformers, including the following modules: an inverter monitoring module, which is used to collect inverter power data, analyze the inverter power data based on the inverter power model, and then judge whether to connect the transformer.

[0007] A transformer control module, which 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 to obtain each available transformer, collect power grid fluctuation data, analyze the power grid fluctuation data to judge the transformer connection type, and at the same time perform connection tests on each available transformer, collect the connection effect data of each available transformer, and analyze the connection effect data of each available transformer according to the transformer connection type to perform transformer control.

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

[0009] Preferably, the analysis of the connection effect data of each available transformer 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. Substitute the load rate, voltage deviation rate, and energy conversion efficiency index of each available transformer 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 maximum 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. Mark the available transformers with a transformer connection effect index greater than the standard transformer connection effect index as the required transformers, and the required transformers are connected in parallel and connected to the inverter.

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

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

[0013] 3. The present invention can monitor the operating states of the inverter and the transformer in real time, dynamically optimize the control strategy based on stability data, timely adjust the connection mode, effectively resist abnormal grid impacts, and enhance the system redundancy and fault tolerance. In case of insufficient stability: in non-parallel scenarios, upgrade the original single-unit connection to a parallel mode to enhance the system buffering capacity; in parallel scenarios, dynamically adjust the correction factor in combination with the historical optimization times, increase the standard threshold, screen for higher-performance transformer combinations, and optimize the closed-loop mechanism, which can continuously 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 technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for description in the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0015] Figure 1 It is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to 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, including the following modules: an inverter monitoring module, a transformer control module, a transformer monitoring module, and a database.

[0018] The transformer control module is respectively connected to the inverter monitoring module and the transformer monitoring module, and the inverter monitoring module, the transformer control module, and the transformer monitoring module are all connected to the 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 process of collecting the inverter power data 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 through the harmonic analysis function of a power quality analyzer, the active power and apparent power of the inverter are collected by a power analyzer, and the power factor of the inverter is obtained by dividing the active power of the inverter by the apparent power.

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

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

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

[0024] It should be noted that the standard parameters , and are the preset inverter output frequency threshold, inverter waveform distortion rate threshold, and inverter power factor threshold respectively. 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. To reduce the impact of instability, during the analysis of the inverter output frequency, the analyzed inverter output frequency value is regarded as a value lower than the collected value. The standard parameter , and The specific values of are set by the staff. For example is 1.8, is 0.3, and is 0.6. The weighting factors and are both obtained by the staff through multiple experiments. The specific values are set by the staff. For example is 0.4, and is 0.6. The setting process of the standard parameter N and the standard parameter is the same, which is set by 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 transformers, analyze the historical connection data of each transformer based on the transformer usage model to obtain each available transformer, collect the grid fluctuation data, analyze the grid fluctuation data to determine the transformer connection type, and at the same time conduct connection tests on each available transformer, collect the connection effect data of each available transformer, and analyze the connection effect data of each available transformer according to the transformer connection type to conduct transformer control.

[0026] In a specific embodiment, the process of obtaining the historical connection data of each transformer from the database is as follows: The historical connection data of each transformer includes the operating duration 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 duration of each transformer, the operating duration 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 logs in the database. The number of failures of the current inverter voltage is divided by the corresponding operating duration to obtain the failure rate of the current inverter voltage, and the number of frequency types of the current inverter voltage is divided by the corresponding operating duration to obtain the output frequency change index of the current inverter voltage.

[0027] The actual output power, rated power, active power, and apparent power are collected by 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, and the load rate of the current inverter voltage and the power factor of the current inverter voltage of each transformer are obtained by averaging.

[0028] In a specific embodiment, the analysis of the historical connection data of each transformer is as follows: The operation duration, 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 of each transformer are input into the transformer usage model, and the output results of the transformer usage model for each transformer are obtained. The values of the output results of the transformer usage model include 0 and 1.

[0029] If the output result of a certain transformer is 1, it indicates that the transformer is unavailable. If the output result of a certain transformer is 0, it indicates that the transformer is available, denoted as an available transformer. In this way, each available transformer is obtained.

[0030] In a specific embodiment, the expression of the transformer usage model is: , where, is the output result of the transformer usage model of transformer a, a is the number of each transformer, and the value of a is a positive integer. , , , and are respectively the operation duration, 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 of transformer a. , , , and are respectively the preset standard transformer operation duration, standard transformer load rate, standard transformer failure rate, standard transformer power factor, and standard transformer output frequency change index. , , and are respectively 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. , , , , , and M is the preset standard transformer usage index in the database.

[0031] It should be noted that the standard parameters , , , , and M are set in the same process as the standard parameter , and are all set by the staff. For example is 6, is 0.6, is 0.1, is 0.6, is 0.3 and M is 1.11, weight factors , , and are the same as the setting process of the weight factor and are all set by the staff. For example is 0.5, is 0.2, is 0.2 and is 0.1.

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

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

[0034] The active power of the power grid is collected through an intelligent energy meter to obtain the active power collected each time and the current active power within a preset duration. The average active power of the power grid is calculated by calculating the average value of the active power collected each time and the current active power within the preset duration. The difference between the current active power of the power grid and the average active power is 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 reference load change index, the value of the load change index of the power grid is the reference load change index.

[0035] In a specific embodiment, the process of judging the transformer connection type is as follows: The transformer connection types include parallel connection and non - parallel connection.

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

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

[0038] Standard parameters , and are set in the same process as the standard parameters , and are all set by the staff. For example is 0.6, is 0.8, and is 0.71. The weight factors , and are set in the same process as the weight factor , and are all set by the staff. For example is 0.5, is 0.2 and is 0.3.

[0039] In a specific embodiment, the data on the connection effects of each available transformer is collected as follows: The data on the connection effects of each available transformer includes the load rate, voltage deviation rate and energy conversion efficiency index of each available transformer. Simulate the power environment of the current inverter, input simulated current to each available transformer, collect the actual output power and rated power through a power analyzer, divide the actual output power by the rated power to obtain the load rate, and thus obtain the load rate of each available transformer.

[0040] Collect the voltages of each available transformer through a voltmeter, obtain the rated voltage of the low-voltage side of the inverter from the database, divide the difference between the voltage of each available transformer and the rated voltage of the low-voltage side of the inverter by the rated voltage of the low-voltage side of the inverter to obtain the voltage deviation rate of each available transformer.

[0041] Collect the input active power and output active power of each available transformer through a power analyzer, and divide the output active power of each available transformer by the input active power to obtain the energy conversion efficiency index of each available transformer.

[0042] In a specific embodiment, the analysis of the connection effect data of each available transformer is as follows: Substitute the load rate, voltage deviation rate, and energy conversion efficiency index of each available transformer into the calculation formula of the transformer connection effect index 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, record the available transformers with a transformer connection effect index greater than the standard transformer connection effect index as each required transformer, and the required transformers are connected in parallel and connected to the inverter.

[0044] It should be noted that the calculation formula of the transformer connection effect index is: , where 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 respectively. 、 and are the preset standard transformer test load rate, standard transformer test voltage deviation rate, and standard transformer test energy conversion efficiency index respectively. 、 and 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 respectively. , , , 。

[0045] Standard parameters 、 and Same as the setting process of the standard parameters, both are set by the staff. For example, is 0.6, is 0.2, and is 0.8. The weighting factors and are and Same as the setting process of the weighting factor are both set by the staff. For example, is 0.4, is 0.2, and is 0.4.

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

[0047] In a specific embodiment, the process of collecting the inverter stability data 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 through the harmonic analysis function of a power quality analyzer, the input power and the output power are collected by a power analyzer, and 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 operating output loss rate.

[0048] In a specific embodiment, the process of analyzing the inverter stability data is as follows: 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.

[0049] It should be noted that the inverter stability index calculation formula is: , where H is the inverter stability index, , , , and are 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 respectively. , , , and 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 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 have the same setting process as the standard parameters and are all set by the staff. For example is 26, is 0.9, is 40, is 0.05, is 0.1 and M is 1.11. The weight factors 、 、 、 and have the same setting process as the weight factor and are all set by the staff. For example is 0.3, is 0.3, is 0.4, is 0.6 and is 0.4.

[0051] In a specific embodiment, the transformer control optimization is performed as follows: Obtain the standard inverter stability index from the database. If the inverter stability index is greater than or equal to the preset standard inverter stability index, no transformer control optimization is 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, parallel - connect the available transformers with transformer connection effect indices greater than the standard transformer connection effect index, and connect them to the inverter. If the transformer connection type is parallel connection, obtain the current transformer optimization times and the optimization correction factors corresponding to each optimization time from the database, get the current transformer optimization correction factor, multiply the standard transformer connection effect index by the transformer optimization correction factor to obtain the current transformer optimized connection effect index, and parallel - connect the available transformers with transformer connection effect indices greater than the current transformer optimized connection effect index, and connect them 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 power grid fluctuation index, the standard transformer connection effect index, the standard inverter stability index, the current transformer optimization times, the optimization correction factors corresponding to each optimization time, the work log, the rated voltage of the power grid, the rated frequency of the power grid, and the rated voltage value of the low - voltage side of the inverter.

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

Claims

1. An intelligent control and monitoring system for a power transformer, characterized in that, It includes the following modules: An inverter monitoring module, which 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; A transformer control module, which 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 to obtain each available transformer, collect grid fluctuation data, analyze the grid fluctuation data to determine the transformer connection type, and at the same time conduct connection tests on each available transformer, collect the connection effect data of each available transformer, and analyze the connection effect data of each available transformer according to the transformer connection type to conduct transformer control; A transformer monitoring module, which is used to collect inverter stability data after the transformer is connected, analyze the inverter stability data, and optimize the transformer control according to the analysis results.

2. An intelligent control and monitoring system for a power transformer according to claim 1, characterized in that, The analysis of the inverter power data is specifically as follows: The inverter power data includes the output frequency, waveform distortion rate and power factor of the inverter. The inverter power data including the output frequency, waveform distortion rate and power factor of the inverter is input into the inverter power model to obtain the output result of the inverter power model. The numerical value of the output result of the inverter power model includes 0 and 1; When the output result of the inverter power model is 1, the transformer is connected. When the output result of the inverter power model is 0, the transformer is not connected.

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

4. An intelligent control and monitoring system for a power transformer according to claim 1, wherein, The analysis of the historical connection data of each transformer is specifically as follows: The historical connection data of each transformer includes the operation duration 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 operation duration 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 output result of the transformer usage model of each transformer. The numerical value of the output result of the transformer usage model includes 0 and 1; If the output result of a certain transformer is 1, it indicates that the transformer is unavailable. If the output result of a certain transformer is 0, it indicates that the transformer is available, which is recorded as an available transformer, and thus each available transformer is obtained.

5. An intelligent control and monitoring system for a power transformer according to claim 4, characterized in that, The expression of the transformer usage model is: ， Among them, is the output result of the transformer usage model of transformer a, where a is the number of each transformer, and the value of a is a positive integer. , , , and are respectively the operating duration 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 are respectively the preset standard operating duration of the transformer, the standard transformer load rate, the standard transformer failure rate, the standard transformer power factor, and the standard transformer output frequency change index. , , and are respectively 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. , , , , , and M is the preset standard transformer usage index in the database.

6. The intelligent control and monitoring system for a power transformer according to claim 4, wherein, The determination of the transformer connection type is specifically as follows: The 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, parallel connection is used. If the grid fluctuation index is less than or equal to the preset standard grid fluctuation index, non - parallel connection is used.

7. An intelligent control and monitoring system for a power transformer according to claim 6, characterized in that, The analysis of the connection effect data of each available transformer 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. Substitute the load rate, voltage deviation rate, and energy conversion efficiency index of each available transformer into the transformer connection effect index calculation formula to obtain the 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. Mark the available transformers with a transformer connection effect index greater than the standard transformer connection effect index as each required transformer, and each required transformer is connected in parallel and connected to the inverter.

8. An intelligent control and monitoring system for a power transformer according to claim 7, characterized in that, The analysis of the inverter stability data is as follows: The inverter stability data includes 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. Substitute 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 into the inverter stability index calculation formula to obtain the inverter stability index.

9. The intelligent control and monitoring system for a power transformer according to claim 6, characterized in that, The optimization of transformer control is as follows: Obtain the standard inverter stability index from the database. If the inverter stability index is greater than or equal to the preset standard inverter stability index, no transformer control optimization is performed. If the inverter stability index is less than the preset standard inverter stability index, transformer control optimization is performed; If the transformer connection type is non-parallel connection, connect in parallel the available transformers with a transformer connection effect index greater than the standard transformer connection effect index and connect them to the inverter. If the transformer connection type is parallel connection, obtain the current transformer optimization times and the optimization correction factors corresponding to each optimization time from the database to obtain the current transformer optimization correction factor. Multiply the standard transformer connection effect index by the transformer optimization correction factor to obtain the current transformer optimized connection effect index. Connect in parallel the available transformers with a transformer connection effect index greater than the current transformer optimized connection effect index and connect them to the inverter.

10. The intelligent control and monitoring system for a power transformer 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 time.

Images