Insulation Condition Monitoring System Based on Energy Storage Charging Transformer

Abstract

The present invention discloses an insulation status monitoring system based on a storage-type charging transformer, which relates to the field of transformers and solves the problem of poor effect existing in the existing insulation status monitoring system. It includes an external monitoring module: used to set the external insulation monitoring period, monitor the external insulation performance of the storage-type charging transformer in the external insulation monitoring period, and obtain the external insulation monitoring coefficient according to the monitoring results; an internal monitoring module: used to set the internal insulation monitoring period, monitor the internal insulation performance of the storage-type charging transformer in the internal insulation monitoring period, and obtain the internal insulation monitoring coefficient according to the monitoring results; a status evaluation module: used to evaluate the insulation status of the storage-type charging transformer according to the internal insulation monitoring coefficient and the external insulation monitoring coefficient. The present invention improves the accuracy of the insulation status monitoring results.

Description

Technical Field

[0001] The present invention belongs to the field of transformers and relates to data analysis technology, specifically an insulation status monitoring system based on an energy storage charging transformer. Background Art

[0002] When the existing insulation status monitoring system monitors the insulation status of an energy storage charging transformer, the following specific defects exist:

[0003] 1. The existing insulation status monitoring system cannot simultaneously monitor the external insulation and the winding core insulation of the energy storage charging transformer, which easily leads to the lack of comprehensiveness of the monitoring results;

[0004] 2. The existing insulation status monitoring system cannot combine the working temperature of the energy storage charging transformer to monitor the insulation status, which easily leads to the lack of accuracy of the monitoring results.

[0005] Therefore, we propose an insulation status monitoring system based on an energy storage charging transformer. Summary of the Invention

[0006] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide an insulation status monitoring system based on an energy storage charging transformer, aiming to improve the accuracy and comprehensiveness of the insulation status monitoring of the energy storage charging transformer.

[0007] To achieve the above purpose, the present invention adopts the following technical solutions: For the insulation status monitoring system based on an energy storage charging transformer, the specific working processes of each module are as follows:

[0008] The external monitoring module sets an external insulation monitoring period, analyzes the working temperature of the energy storage charging transformer in the external insulation monitoring period, sets multiple characteristic shell temperatures according to the analysis results, monitors the insulation performance of the energy storage charging transformer at each characteristic shell temperature, and obtains an external insulation monitoring coefficient according to the monitoring results;

[0009] The internal monitoring module sets an internal insulation monitoring period, analyzes the working temperature of the energy storage charging transformer in the internal insulation monitoring period, sets multiple characteristic winding temperatures according to the analysis results, monitors the insulation performance of the energy storage charging transformer at each characteristic winding temperature, and obtains an internal insulation monitoring coefficient according to the monitoring results;

[0010] The status evaluation module evaluates the insulation status of the energy storage charging transformer according to the internal insulation monitoring coefficient and the external insulation monitoring coefficient.

[0011] Furthermore, the external insulation performance monitoring of the energy storage charging transformer is as follows:

[0012] When the energy storage charging transformer is in the energized state, mark the time corresponding to the current moment as the first external characteristic time value. In the time period before the first external characteristic time value, mark a second external characteristic time value, and mark the time period between the first external characteristic time value and the second external characteristic time value as the external insulation monitoring period;

[0013] Conduct a working temperature analysis on the energy storage charging transformer during the external insulation monitoring period to obtain multiple characteristic housing temperatures;

[0014] When the housing temperature of the energy storage charging transformer is at housing temperature K1, conduct an insulation performance monitoring on the energy storage charging transformer to obtain the K1 housing insulation index value;

[0015] Obtain the housing insulation index values corresponding to housing temperatures from K2 to Ka respectively, to obtain the K2 housing insulation index value to the Ka housing insulation index value.

[0016] Furthermore, obtain multiple characteristic housing temperatures as follows:

[0017] Obtain the housing temperature of the energy storage charging transformer during the external insulation monitoring period, mark the highest housing temperature obtained as the monitored housing temperature peak value, and mark the lowest housing temperature obtained as the monitored housing temperature valley value;

[0018] Within the temperature range between the monitored housing temperature valley value and the monitored housing temperature peak value, select a characteristic housing temperature at every interval of a characteristic external temperature value to obtain multiple characteristic housing temperatures, and name the multiple obtained characteristic housing temperatures as housing temperature K1 to housing temperature Ka in ascending order of numerical value.

[0019] Furthermore, obtain the external insulation monitoring coefficient as follows:

[0020] During the external insulation monitoring period, obtain the time points when the housing temperature of the energy storage charging transformer is at housing temperature K1 to obtain multiple K1 housing temperature time points, and arbitrarily select a sample K1 housing time point from the multiple obtained K1 housing temperature time points;

[0021] Obtain the housing insulation index value corresponding to the sample K1 housing time point;

[0022] Repeat the process of obtaining the housing insulation index value corresponding to the sample K1 housing time point, obtain the housing insulation index values corresponding to each K1 housing temperature time point respectively to obtain multiple housing insulation index values, and calculate the average of the obtained multiple housing insulation index values to obtain the K1 housing insulation index value;

[0023] Repeat the process of obtaining the insulation index value of the K1 housing, and obtain the insulation index values corresponding to the housing temperatures from K2 to Ka of the housing respectively, to obtain the insulation index values from the K2 housing to the Ka housing;

[0024] In the existing line chart template, mark the insulation index value of the housing as the ordinate and the housing temperature as the abscissa. Use the housing temperatures from K1 to Ka as the abscissa and the insulation index values from the K1 housing to the Ka housing as the ordinate. Create multiple coordinate points in the line chart to obtain the insulation coordinate points from K1 to Ka. Obtain the connection slope between every two consecutive insulation coordinate points, and calculate the average value of the obtained multiple connection slopes to obtain the external insulation monitoring coefficient.

[0025] Further, obtain the insulation index value of the housing corresponding to the time point of the K1 housing sample, as follows:

[0026] Obtain the insulation resistance to the ground of the energy storage type charging transformer housing and the grounding terminal at the time point of the K1 housing sample to obtain the insulation resistance of the K1 housing to the ground;

[0027] Obtain the external current value of the energy storage type charging transformer housing at the time point of the K1 housing sample to obtain the leakage current of the K1 housing;

[0028] Obtain the reference insulation resistance to the ground corresponding to the energy storage type charging transformer to obtain the reference insulation resistance to the ground, and obtain the reference external current value corresponding to the housing of the energy storage type charging transformer to obtain the reference current value of the housing;

[0029] Calculate the insulation index value of the housing corresponding to the time point of the K1 housing sample through the insulation resistance of the K1 housing to the ground, the leakage current of the K1 housing, the reference insulation resistance to the ground, and the reference current value of the housing;

[0030] Calculate the insulation index value of the housing corresponding to the time point of the K1 housing sample, and the specific formula is as follows:

[0031] ;

[0032] Among them, Wjz is the insulation index value of the housing corresponding to the time point of the K1 housing sample, Dzk1 is the insulation resistance of the K1 housing to the ground, Dlk1 is the leakage current of the K1 housing, Dzj is the reference insulation resistance to the ground, and Dlj is the reference current value of the housing.

[0033] Further, obtain the internal insulation monitoring coefficient, as follows:

[0034] When the energy storage charging transformer is in the energized state, mark the time corresponding to the current moment as the first internal characteristic time value. In the time period before the first internal characteristic time value, mark a second internal characteristic time value, and mark the time period between the first internal characteristic time value and the second internal characteristic time value as the internal insulation monitoring period;

[0035] Conduct a working temperature analysis on the energy storage charging transformer during the internal insulation monitoring period to obtain winding temperatures R1 to Rb;

[0036] When the winding temperature of the energy storage charging transformer is at winding temperature R1, conduct an internal insulation performance monitoring on the energy storage charging transformer to obtain the R1 internal insulation index value;

[0037] Respectively obtain the internal insulation index values corresponding to winding temperatures R2 to Ra to obtain the R2 internal insulation index value to the Ra internal insulation index value;

[0038] In the existing line chart template, mark the internal insulation index value as the vertical coordinate and the winding temperature as the horizontal coordinate. Use winding temperatures R1 to Ra as the horizontal coordinate and the R1 internal insulation index value to the Ra internal insulation index value as the vertical coordinate. Create multiple coordinate points in the line chart to obtain the R1 insulation coordinate point to the Ra insulation coordinate point. Obtain the connection slope between every two consecutive insulation coordinate points and calculate the average of the obtained multiple connection slopes to obtain the internal insulation monitoring coefficient.

[0039] Furthermore, obtain multiple characteristic winding temperatures as follows:

[0040] Obtain the winding temperature of the energy storage charging transformer during the internal insulation monitoring period. Mark the highest obtained winding temperature as the monitored winding temperature peak value and the lowest obtained winding temperature as the monitored winding temperature valley value;

[0041] Within the temperature range between the monitored winding temperature valley value and the monitored winding temperature peak value, select a characteristic winding temperature at every interval of a characteristic internal temperature value to obtain multiple characteristic winding temperatures, and name the obtained multiple characteristic winding temperatures as winding temperatures R1 to Ra in ascending order of numerical value.

[0042] Furthermore, obtain the R1 internal insulation index value as follows:

[0043] During the internal insulation monitoring period, obtain the time points when the winding temperature of the energy storage charging transformer is at winding temperature R1 to obtain multiple R1 winding temperature time points, and arbitrarily select a sample R1 internal time point from the obtained multiple R1 winding temperature time points;

[0044] Obtain the winding-to-ground insulation resistance between the inside of the energy storage charging transformer and the grounding terminal at the time point inside the sample R1, and obtain the winding-to-ground insulation resistance of R1;

[0045] Obtain the core-to-ground insulation resistance inside the energy storage charging transformer at the time point inside the sample R1, and obtain the core-to-ground insulation resistance of R1;

[0046] Obtain the winding-to-ground insulation resistance of the corresponding reference winding of the energy storage charging transformer, and obtain the winding-to-ground insulation resistance of the reference winding. Obtain the core-to-ground insulation resistance of the corresponding reference core of the energy storage charging transformer, and obtain the core-to-ground insulation resistance of the reference core;

[0047] Calculate the internal insulation index value corresponding to the time point inside the sample R1 from the winding-to-ground insulation resistance of R1, the core-to-ground insulation resistance of R1, the winding-to-ground insulation resistance of the reference winding, and the core-to-ground insulation resistance of the reference core;

[0048] Calculate the internal insulation index value corresponding to the time point inside the sample R1. The specific formula is as follows:

[0049] ;

[0050] Among them, Njz is the internal insulation index value corresponding to the time point inside the sample R1, Nzk1 is the winding-to-ground insulation resistance of R1, Nlk1 is the core-to-ground insulation resistance of R1, Nzj is the winding-to-ground insulation resistance of the reference winding, and Nlj is the core-to-ground insulation resistance of the reference core;

[0051] Repeat the process of obtaining the internal insulation index value corresponding to the time point inside the sample R1, respectively obtain the internal insulation index values corresponding to each R1 winding temperature time point, obtain multiple internal insulation index values, and calculate the average of the obtained multiple internal insulation index values to obtain the internal insulation index value of R1.

[0052] Furthermore, conduct an insulation status assessment on the energy storage charging transformer as follows:

[0053] Obtain the internal insulation monitoring coefficient and the external insulation monitoring coefficient;

[0054] Obtain the reference interval of the internal insulation monitoring coefficient and the reference interval of the external insulation monitoring coefficient;

[0055] Conduct an insulation status assessment on the energy storage charging transformer based on the internal insulation monitoring coefficient, the external insulation monitoring coefficient, the reference interval of the internal insulation monitoring coefficient, and the reference interval of the external insulation monitoring coefficient.

[0056] Furthermore, the specific assessment process is as follows:

[0057] If the internal insulation monitoring coefficient is within the internal insulation monitoring coefficient reference range and the external insulation monitoring coefficient is within the external insulation monitoring coefficient reference range, it is evaluated that the insulation state of the energy storage type charging transformer is normal;

[0058] If the internal insulation monitoring coefficient is not within the internal insulation monitoring coefficient reference range and the external insulation monitoring coefficient is within the external insulation monitoring coefficient reference range, it is evaluated that the insulation state of the energy storage type charging transformer is abnormal;

[0059] If the internal insulation monitoring coefficient is within the internal insulation monitoring coefficient reference range and the external insulation monitoring coefficient is not within the external insulation monitoring coefficient reference range, it is evaluated that the insulation state of the energy storage type charging transformer is abnormal;

[0060] If the internal insulation monitoring coefficient is not within the internal insulation monitoring coefficient reference range and the external insulation monitoring coefficient is not within the external insulation monitoring coefficient reference range, it is evaluated that the insulation state of the energy storage type charging transformer is abnormal.

[0061] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are as follows:

[0062] 1. The present invention monitors the shell insulation and winding core insulation of the energy storage type charging transformer by obtaining the external insulation monitoring coefficient and the internal insulation monitoring coefficient, making the monitoring results more comprehensive;

[0063] 2. The present invention monitors the insulation state by combining the working temperature of the energy storage type charging transformer, thereby making the monitoring results more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings.

[0065] Figure 1 is the overall system block diagram of the present invention;

[0066] Figure 2 is the schematic diagram of the K1 insulation coordinate point of the present invention;

[0067] Figure 3 is the schematic diagram of the R1 insulation coordinate point of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0068] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0069] Embodiment 1

[0070] Please refer to Figure 1 , the present invention provides a technical solution: an insulation status monitoring system based on an energy storage charging transformer, including an external monitoring module, an internal monitoring module, a status evaluation module, and a server. The external monitoring module, the internal monitoring module, and the status evaluation module are respectively connected to the server, and the server controls the external monitoring module, the internal monitoring module, and the status evaluation module respectively;

[0071] The external monitoring module sets an external insulation monitoring period, analyzes the operating temperature of the energy storage charging transformer in the external insulation monitoring period, sets multiple characteristic housing temperatures according to the analysis results, monitors the insulation performance of the energy storage charging transformer at each characteristic housing temperature, and obtains an external insulation monitoring coefficient according to the monitoring results;

[0072] Specifically as follows:

[0073] When the energy storage charging transformer is in the energized state, mark the time corresponding to the current moment as the first external characteristic time value. In the period before the first external characteristic time value, mark a second external characteristic time value, and mark the period between the first external characteristic time value and the second external characteristic time value as the external insulation monitoring period;

[0074] It should be noted here that:

[0075] In this application, as the time value corresponding to the current moment changes, the first external characteristic time value and the second external characteristic time value also change accordingly, so as to realize the dynamic update of the external insulation monitoring period.

[0076] Obtain the housing temperature of the energy storage charging transformer in the external insulation monitoring period, mark the highest value of the obtained housing temperature as the monitored housing temperature peak value, and mark the lowest value of the obtained housing temperature as the monitored housing temperature valley value;

[0077] In the temperature range between the monitored housing temperature valley value and the monitored housing temperature peak value, select a characteristic housing temperature every other characteristic external temperature value to obtain multiple characteristic housing temperatures, and name the obtained multiple characteristic housing temperatures in ascending order of numerical value as housing temperature K1 to housing temperature Ka;

[0078] It should be noted here that:

[0079] In this application, K involved here is the identifier corresponding to the characteristic housing temperature of the energy storage charging transformer, a is the numerical value corresponding to the characteristic housing temperature of the energy storage charging transformer, and a is an integer greater than 0;

[0080] When the outer shell temperature of the energy storage charging transformer is at the outer shell temperature K1, monitor the insulation performance of the energy storage charging transformer to obtain the outer shell insulation index value of K1;

[0081] Specifically as follows:

[0082] During the external insulation monitoring period, obtain the time points when the outer shell temperature of the energy storage charging transformer is at the outer shell temperature K1, obtain multiple K1 outer shell temperature time points, and randomly select a sample K1 outer shell time point from the obtained multiple K1 outer shell temperature time points;

[0083] Obtain the insulation resistance to the ground of the energy storage charging transformer shell and the grounding terminal at the sample K1 outer shell time point to obtain the K1 outer shell insulation resistance to the ground;

[0084] Obtain the external current value of the energy storage charging transformer shell at the sample K1 outer shell time point to obtain the K1 outer shell leakage current;

[0085] Obtain the reference insulation resistance to the ground corresponding to the energy storage charging transformer to obtain the reference insulation resistance to the ground, and obtain the reference external current value corresponding to the energy storage charging transformer shell to obtain the shell reference current value;

[0086] It should be noted here that:

[0087] In this application, the reference insulation resistance to the ground refers to the insulation resistance value of an electrical equipment or system relative to the ground (or reference ground) under specific conditions. The reference insulation resistance to the ground involved here is set to 0.5 MΩ;

[0088] In this application, the shell reference current refers to the current value passing through the electrical equipment shell. The shell reference current value involved here is specifically 0 A.

[0089] Calculate the outer shell insulation index value corresponding to the sample K1 outer shell time point through the K1 outer shell insulation resistance to the ground, the K1 outer shell leakage current, the reference insulation resistance to the ground, and the shell reference current value;

[0090] Calculate the outer shell insulation index value corresponding to the sample K1 outer shell time point. The specific formula is as follows:

[0091] ;

[0092] Among them, Wjz is the outer shell insulation index value corresponding to the sample K1 outer shell time point, Dzk1 is the K1 outer shell insulation resistance to the ground, Dlk1 is the K1 outer shell leakage current, Dzj is the reference insulation resistance to the ground, and Dlj is the shell reference current value;

[0093] Repeat the process of obtaining the shell insulation index value corresponding to the shell time point of sample K1. Respectively obtain the shell insulation index values corresponding to each shell temperature time point of K1, obtain multiple shell insulation index values, and calculate the average of the obtained multiple shell insulation index values to obtain the K1 shell insulation index value;

[0094] It should be noted here that:

[0095] In this application, the K1 shell insulation index value involved here represents the insulation state of the energy storage charging transformer shell at the shell time point of sample K1. The larger the K1 shell insulation index value, the worse the insulation state of the energy storage charging transformer shell at the shell time point of sample K1;

[0096] In specific implementation, there are the following experimental data:

[0097] Through experimental measurement, the insulation resistance of K1 shell to ground is: Dzk1 = 1.0 MΩ, and the leakage current of K1 shell is: Dlk1 = 0.01 A. The calculated K1 shell insulation index value is 0.51.

[0098] Repeat the process of obtaining the K1 shell insulation index value. Respectively obtain the shell insulation index values corresponding to the shell temperatures from K2 to Ka, and obtain the K2 shell insulation index value to the Ka shell insulation index value;

[0099] Please refer to Figure 2 , in the existing line chart template, mark the shell insulation index value as the vertical coordinate and the shell temperature as the horizontal coordinate. Use the shell temperatures from K1 to Ka as the horizontal coordinate and the K1 shell insulation index value to the Ka shell insulation index value as the vertical coordinate. Create multiple coordinate points in the line chart to obtain the K1 insulation coordinate point to the Ka insulation coordinate point. Obtain the connection slope between every two consecutive insulation coordinate points, and calculate the average of the obtained multiple connection slopes to obtain the external insulation monitoring coefficient;

[0100] The external monitoring module obtains the external insulation monitoring coefficient and transmits it to the status evaluation module;

[0101] The internal monitoring module sets an internal insulation monitoring period, analyzes the working temperature of the energy storage charging transformer during the internal insulation monitoring period, sets multiple characteristic winding temperatures according to the analysis results, monitors the insulation performance of the energy storage charging transformer at each characteristic winding temperature, and obtains the internal insulation monitoring coefficient according to the monitoring results;

[0102] Specifically as follows:

[0103] When the energy storage charging transformer is in the energized state, mark the time corresponding to the current moment as the first internal characteristic time value. In the time period before the first internal characteristic time value, mark a second internal characteristic time value, and mark the time period between the first internal characteristic time value and the second internal characteristic time value as the internal insulation monitoring period;

[0104] It should be noted here that:

[0105] In this application, as the time value corresponding to the current moment changes, the first internal characteristic time value and the second internal characteristic time value also change accordingly, so as to realize the dynamic update of the internal insulation monitoring period.

[0106] Obtain the winding temperature of the energy storage charging transformer in the internal insulation monitoring period, mark the highest value of the obtained winding temperature as the monitored winding temperature peak value, and mark the lowest value of the obtained winding temperature as the monitored winding temperature valley value;

[0107] In the temperature range between the monitored winding temperature valley value and the monitored winding temperature peak value, select a characteristic winding temperature every other characteristic internal temperature value to obtain multiple characteristic winding temperatures, and name the obtained multiple characteristic winding temperatures in ascending order of value as winding temperature R1 to winding temperature Rb;

[0108] It should be noted here that:

[0109] In this application, R involved here is the identifier corresponding to the characteristic winding temperature of the energy storage charging transformer, b is the numerical value corresponding to the characteristic winding temperature of the energy storage charging transformer, and b is an integer greater than 0;

[0110] When the winding temperature of the energy storage charging transformer is at winding temperature R1, perform internal insulation performance monitoring on the energy storage charging transformer to obtain the R1 internal insulation index value;

[0111] Specifically as follows:

[0112] In the internal insulation monitoring period, obtain the time points when the winding temperature of the energy storage charging transformer is at winding temperature R1 to obtain multiple R1 winding temperature time points, and arbitrarily select a sample R1 internal time point from the obtained multiple R1 winding temperature time points;

[0113] Obtain the winding-to-ground insulation resistance of the energy storage charging transformer internal and the grounding terminal at the sample R1 internal time point to obtain the R1 winding-to-ground insulation resistance;

[0114] Obtain the core-to-ground insulation resistance of the energy storage charging transformer internal at the sample R1 internal time point to obtain the R1 core-to-ground insulation resistance;

[0115] Obtain the ground insulation resistance of the reference winding corresponding to the energy storage charging transformer to get the ground insulation resistance of the reference winding, and obtain the ground insulation resistance of the reference iron core corresponding to the energy storage charging transformer to get the ground insulation resistance of the reference iron core;

[0116] It should be noted here that:

[0117] The ground insulation resistance of the reference winding involved here is specifically the ground insulation resistance of the winding of a brand-new (just out of the factory or after overhaul) energy storage charging transformer measured under a 220V DC voltage, and this value is used as a reference standard for subsequent evaluation of the insulation condition of the transformer;

[0118] The ground insulation resistance of the reference iron core involved here is specifically the ground insulation resistance of the iron core of a brand-new (just out of the factory or after overhaul) energy storage charging transformer measured under a 220V DC voltage, and this value is used as a reference standard for subsequent evaluation of the insulation condition of the transformer;

[0119] In this application, the ground insulation resistance of the reference winding and the ground insulation resistance of the reference iron core involved here need to be specifically set according to the electrical data inside the energy storage charging transformer.

[0120] Calculate the internal insulation index value corresponding to the internal time point of sample R1 by using the ground insulation resistance of winding R1, the ground insulation resistance of iron core R1, the ground insulation resistance of the reference winding, and the ground insulation resistance of the reference iron core;

[0121] Calculate the internal insulation index value corresponding to the internal time point of sample R1. The specific formula is as follows:

[0122] ;

[0123] Among them, Njz is the internal insulation index value corresponding to the internal time point of sample R1, Nzk1 is the ground insulation resistance of winding R1, Nlk1 is the ground insulation resistance of iron core R1, Nzj is the ground insulation resistance of the reference winding, and Nlj is the ground insulation resistance of the reference iron core;

[0124] Repeat the process of obtaining the internal insulation index value corresponding to the internal time point of sample R1, respectively obtain the internal insulation index values corresponding to each R1 winding temperature time point, get multiple internal insulation index values, and calculate the average of the obtained multiple internal insulation index values to get the internal insulation index value of R1;

[0125] It should be noted here that:

[0126] In this application, the internal insulation index value involved here represents the insulation state inside the energy storage charging transformer at the internal time point of sample R1. The larger the internal insulation index value of R1, the worse the insulation state inside the energy storage charging transformer at the internal time point of sample R1;

[0127] Repeat the process of obtaining the internal insulation index value of R1, and respectively obtain the internal insulation index values corresponding to winding temperature R2 to winding temperature Rb, to obtain the internal insulation index value of R2 to the internal insulation index value of Rb;

[0128] Please refer to Figure 3 , in the existing line chart template, mark the internal insulation index value as the ordinate and the winding temperature as the abscissa. Take winding temperature R1 to winding temperature Rb as the abscissa and the internal insulation index value of R1 to the internal insulation index value of Rb as the ordinate, create multiple coordinate points in the line chart to obtain the insulation coordinate points of R1 to the insulation coordinate points of Rb, obtain the connection slope between every two consecutive insulation coordinate points, and calculate the average value of the obtained multiple connection slopes to obtain the internal insulation monitoring coefficient;

[0129] The internal monitoring module obtains the internal insulation monitoring coefficient and transports it to the state evaluation module;

[0130] The state evaluation module evaluates the insulation state of the energy storage charging transformer according to the internal insulation monitoring coefficient and the external insulation monitoring coefficient;

[0131] Specifically as follows:

[0132] Respectively obtain the internal insulation monitoring coefficient and the external insulation monitoring coefficient;

[0133] Obtain the internal insulation monitoring coefficient reference interval and the external insulation monitoring coefficient reference interval;

[0134] It should be noted here that:

[0135] The internal insulation monitoring coefficient reference interval involved here is the interval composed of the internal insulation monitoring coefficients corresponding to the energy storage charging transformers in the normal insulation state. The external insulation monitoring coefficient reference interval involved here is the interval composed of the external insulation monitoring coefficients corresponding to the energy storage charging transformers in the normal insulation state;

[0136] In this application, after multiple tests, the internal insulation monitoring coefficient reference interval is set as [0.6, 0.8], and the external insulation monitoring coefficient reference interval is set as [0.6, 0.7].

[0137] If the internal insulation monitoring coefficient is within the internal insulation monitoring coefficient reference range and the external insulation monitoring coefficient is within the external insulation monitoring coefficient reference range, the insulation status of the energy storage charging transformer is evaluated as normal;

[0138] If the internal insulation monitoring coefficient is not within the internal insulation monitoring coefficient reference range and the external insulation monitoring coefficient is within the external insulation monitoring coefficient reference range, the insulation status of the energy storage charging transformer is evaluated as abnormal;

[0139] If the internal insulation monitoring coefficient is within the internal insulation monitoring coefficient reference range and the external insulation monitoring coefficient is not within the external insulation monitoring coefficient reference range, the insulation status of the energy storage charging transformer is evaluated as abnormal;

[0140] If the internal insulation monitoring coefficient is not within the internal insulation monitoring coefficient reference range and the external insulation monitoring coefficient is not within the external insulation monitoring coefficient reference range, the insulation status of the energy storage charging transformer is evaluated as abnormal.

[0141] It should be noted here that:

[0142] In this application, the abnormal insulation status of the energy storage charging transformer involved here includes the interval boundaries corresponding to the internal insulation monitoring coefficient reference range and the external insulation monitoring coefficient reference range.

[0143] In this application, if there are corresponding calculation formulas, the above calculation formulas are all dimensionless and take their numerical values for calculation. The coefficient such as the weight coefficient and the proportionality coefficient in the formula is set to obtain a result value by quantifying each parameter. Regarding the magnitudes of the weight coefficient and the proportionality coefficient, as long as the proportional relationship between the parameters and the result value is not affected.

[0144] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the present invention to the specific implementation manners. Obviously, many modifications and changes can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principle and practical application of the present invention, so that those skilled in the art in the relevant technical field can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. Insulation status monitoring system based on energy storage type charging transformer, characterized in that, Including: External monitoring module setting: It is used for the external insulation monitoring period, analyzes the working temperature of the energy storage charging transformer in the external insulation monitoring period, obtains multiple characteristic shell temperatures according to the analysis results, monitors the insulation performance of the energy storage charging transformer at the characteristic shell temperature, and obtains the external insulation monitoring coefficient according to the monitoring results; Internal monitoring module: It is used to set an internal insulation monitoring period, analyzes the working temperature of the energy storage charging transformer in the internal insulation monitoring period, obtains multiple characteristic winding temperatures according to the analysis results, monitors the insulation performance of the energy storage charging transformer at the characteristic winding temperature, and obtains the internal insulation monitoring coefficient according to the monitoring results; Status evaluation module: It is used to evaluate the insulation status of the energy storage charging transformer according to the internal insulation monitoring coefficient and the external insulation monitoring coefficient; Conduct external insulation performance monitoring on the energy storage charging transformer, specifically as follows: When the energy storage charging transformer is in the energized state, mark an external insulation monitoring period; Analyze the working temperature of the energy storage charging transformer in the external insulation monitoring period to obtain multiple characteristic shell temperatures; When the shell temperature of the energy storage charging transformer is at the shell temperature K1, monitor the insulation performance of the energy storage charging transformer to obtain the K1 shell insulation index value; Obtain the shell insulation index values corresponding to the shell temperatures from K2 to Ka respectively, to obtain the K2 shell insulation index value to the Ka shell insulation index value; Obtain the external insulation monitoring coefficient, specifically as follows: In the external insulation monitoring period, obtain the time points when the shell temperature of the energy storage charging transformer is at the shell temperature K1, to obtain multiple K1 shell temperature time points, and randomly select a sample K1 shell time point from the obtained multiple K1 shell temperature time points; Obtain the shell insulation index value corresponding to the sample K1 shell time point; Obtain the shell insulation index values corresponding to each K1 shell temperature time point respectively, to obtain multiple shell insulation index values, and calculate the average of the obtained multiple shell insulation index values to obtain the K1 shell insulation index value; Obtain the shell insulation index values corresponding to the shell temperatures from K2 to Ka respectively, to obtain the K2 shell insulation index value to the Ka shell insulation index value; In the existing line chart template, mark the shell insulation index value as the ordinate and the shell temperature as the abscissa. Use the shell temperatures from K1 to Ka as the abscissa and the K1 shell insulation index value to the Ka shell insulation index value as the ordinate. Create multiple coordinate points in the line chart to obtain the K1 insulation coordinate point to the Ka insulation coordinate point. Obtain the connection slope between every two consecutive insulation coordinate points, and calculate the average of the obtained multiple connection slopes to obtain the external insulation monitoring coefficient.

2. The insulation status monitoring system based on the energy storage type charging transformer according to claim 1, characterized in that, Obtain multiple characteristic shell temperatures, specifically as follows: Obtain the shell temperature of the energy storage charging transformer in the external insulation monitoring period, mark the highest obtained shell temperature as the monitored shell temperature peak value, and mark the lowest obtained shell temperature as the monitored shell temperature valley value; Within the temperature range between the monitored housing temperature valley value and the monitored housing temperature peak value, one characteristic housing temperature is selected at every interval of one characteristic external temperature value, obtaining housing temperatures K1 to Ka.

3. The insulation state monitoring system based on a storage-type charging transformer according to claim 1, characterized in that Obtain the housing insulation index value corresponding to the housing time point of sample K1, specifically as follows: Obtain the insulation resistance to ground of the energy storage charging transformer housing and the grounding terminal at the housing time point of sample K1, obtaining the insulation resistance to ground of K1 housing; Obtain the external current value of the energy storage charging transformer housing at the housing time point of sample K1, obtaining the leakage current of K1 housing; Obtain the reference insulation resistance to ground corresponding to the energy storage charging transformer, obtaining the reference insulation resistance to ground, and obtain the reference external current value corresponding to the energy storage charging transformer housing, obtaining the reference current value of the housing; The insulation resistance Dzk1 of the K1 housing to the ground, the leakage current Dlk1 of the K1 housing, the reference insulation resistance Dzj to the ground, and the housing reference current value Dlj are used to calculate the housing insulation index value Wjz corresponding to the time point of the K1 housing through calculation. The specific formula is as follows: .

4. The insulation state monitoring system based on an energy storage type charging transformer according to claim 1, characterized in that, Obtain the internal insulation monitoring coefficient, specifically as follows: When the energy storage charging transformer is in the energized state, mark an internal insulation monitoring period; Conduct a working temperature analysis on the energy storage charging transformer during the internal insulation monitoring period, obtaining winding temperatures R1 to Rb; When the winding temperature of the energy storage charging transformer is within the range of winding temperatures R1 to Ra, conduct an internal insulation performance monitoring on the energy storage charging transformer, obtaining internal insulation index values from R1 to Ra; In the existing broken line statistical chart template, mark the internal insulation index value as the vertical coordinate and the winding temperature as the horizontal coordinate. Use winding temperatures R1 to Ra as the horizontal coordinate and internal insulation index values from R1 to Ra as the vertical coordinate. Create multiple coordinate points in the broken line statistical chart, obtaining insulation coordinate points from R1 to Ra. Obtain the connection slope between every two consecutive insulation coordinate points, and calculate the average of the obtained multiple connection slopes to obtain the internal insulation monitoring coefficient.

5. The insulation status monitoring system based on an energy storage type charging transformer according to claim 4, wherein Obtain multiple characteristic winding temperatures, specifically as follows: Obtain the winding temperature of the energy storage charging transformer during the internal insulation monitoring period, mark the highest obtained winding temperature value as the monitored winding temperature peak value, and mark the lowest obtained winding temperature value as the monitored winding temperature valley value; Within the temperature range between the monitored winding temperature valley value and the monitored winding temperature peak value, select one characteristic winding temperature at every interval of one characteristic internal temperature value, and name the obtained multiple characteristic winding temperatures in ascending order of numerical value as winding temperatures R1 to Ra.

6. The insulation status monitoring system based on an energy storage type charging transformer according to claim 4, wherein, Obtain the internal insulation index value of R1, specifically as follows: During the internal insulation monitoring period, obtain the time points when the winding temperature of the energy storage charging transformer is at winding temperature R1, obtaining multiple R1 winding temperature time points, and arbitrarily select one sample R1 internal time point from the obtained multiple R1 winding temperature time points; Obtain the winding insulation resistance to ground of the inside of the energy storage charging transformer and the grounding terminal at the sample R1 internal time point, obtaining the winding insulation resistance to ground of R1; Obtain the core insulation resistance to ground of the inside of the energy storage charging transformer at the sample R1 internal time point, obtaining the core insulation resistance to ground of R1; Obtain the ground insulation resistance of the reference winding corresponding to the energy storage charging transformer to get the ground insulation resistance of the reference winding, and obtain the ground insulation resistance of the reference iron core corresponding to the energy storage charging transformer to get the ground insulation resistance of the reference iron core; Calculate the ground insulation resistance Nzk1 of the R1 winding, the ground insulation resistance Nlk1 of the R1 iron core, the ground insulation resistance Nzj of the reference winding, and the ground insulation resistance Nlj of the reference iron core to obtain the internal insulation index value Njz corresponding to the internal time point of the sample R1. The specific formula is as follows: ; Obtain the internal insulation index values corresponding to each R1 winding temperature time point respectively to get a plurality of internal insulation index values, and calculate the average value of the obtained plurality of internal insulation index values to get the R1 internal insulation index value.

7. The insulation status monitoring system based on the energy storage type charging transformer according to claim 1, characterized in that, Conduct an insulation status assessment on the energy storage charging transformer as follows: Obtain the internal insulation monitoring coefficient and the external insulation monitoring coefficient; Obtain the reference interval of the internal insulation monitoring coefficient and the reference interval of the external insulation monitoring coefficient; Conduct an insulation status assessment on the energy storage charging transformer according to the internal insulation monitoring coefficient, the external insulation monitoring coefficient, the reference interval of the internal insulation monitoring coefficient, and the reference interval of the external insulation monitoring coefficient.

8. The insulation status monitoring system based on an energy storage type charging transformer according to claim 7, characterized in that, The specific assessment process is as follows: If the internal insulation monitoring coefficient is within the reference interval of the internal insulation monitoring coefficient and the external insulation monitoring coefficient is within the reference interval of the external insulation monitoring coefficient, then it is evaluated that the insulation status of the energy storage charging transformer is normal; If the internal insulation monitoring coefficient is not within the reference interval of the internal insulation monitoring coefficient and the external insulation monitoring coefficient is within the reference interval of the external insulation monitoring coefficient, then it is evaluated that the insulation status of the energy storage charging transformer is abnormal; If the internal insulation monitoring coefficient is within the reference interval of the internal insulation monitoring coefficient and the external insulation monitoring coefficient is not within the reference interval of the external insulation monitoring coefficient, then it is evaluated that the insulation status of the energy storage charging transformer is abnormal; If the internal insulation monitoring coefficient is not within the reference interval of the internal insulation monitoring coefficient and the external insulation monitoring coefficient is not within the reference interval of the external insulation monitoring coefficient, then it is evaluated that the insulation status of the energy storage charging transformer is abnormal.

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