Resonance data feature optimization method of resonance elimination device

Abstract

The invention discloses a resonance data feature optimization method for a resonance elimination device, and relates to the technical field of resonance elimination devices, and the method comprises the steps: obtaining the data feature information of an open triangular zero-sequence voltage; judging whether resonance occurs or not based on the data feature information; if resonance occurs, the resonance type is analyzed; generating a corresponding resonance elimination execution instruction based on the resonance type; and after the resonance elimination execution instruction is executed, if resonance disappears, generating a supplementary information chain based on the data feature information, a resonance generation result and a resonance type, and supplementing the supplementary information chain into a resonance judgment feature library. The microcomputer resonance elimination device has the effect of improving the self-adjustment capability of the microcomputer resonance elimination device on the installation environment.

Description

Technical Field

[0001] This application relates to the field of harmonic elimination device technology, and in particular to a method for optimizing the resonance data characteristics of a harmonic elimination device. Background Technology

[0002] Ferromagnetic resonance is a nonlinear resonance phenomenon in power systems caused by the mismatch between the parameters of the core inductance and capacitance. When the system is subjected to disturbances such as operation, faults, or lightning strikes, the core inductance may enter the saturation region, causing a sharp drop in inductance value. This leads to self-excited oscillation of the system, generating overvoltage and overcurrent, which may cause insulation breakdown of equipment, malfunction of protection systems, or even explosion, threatening the safe operation of the power grid.

[0003] The microprocessor-based harmonic suppression device is an intelligent protection device designed for ferroresonance. It monitors parameters such as voltage, current, and magnetic flux in real time, and uses algorithms to quickly identify the resonance type, automatically triggering harmonic suppression measures (such as activating damping resistors or changing system parameters). Its core advantages lie in accurate judgment and rapid response, effectively suppressing resonant overvoltages and preventing equipment damage. It also possesses self-diagnostic and data recording functions, providing reliable protection for power grid operation and representing a key technological means for managing resonance in modern power systems.

[0004] The operating system of a microcomputer-based harmonic suppression device typically determines whether ferromagnetic resonance occurs and the type of ferromagnetic resonance based on preset data characteristics such as voltage and frequency thresholds. However, in reality, there are many direct and indirect causes of ferromagnetic resonance. Therefore, after the microcomputer-based harmonic suppression device has been in use for a sufficiently long time, it will encounter ferromagnetic resonance phenomena caused by various reasons.

[0005] If the microcomputer-based harmonic suppression device always judges according to the preset threshold, it will be difficult to self-adjust according to different actual installation environments and line conditions. Over time, the ferroresonance phenomenon caused by a certain special factor will be difficult to identify and control, which will increase the possibility of damage to the line and equipment. Summary of the Invention

[0006] To improve the self-adjustment capability of the microcomputer-based harmonic suppression device to the installation environment, this application provides a method for optimizing the resonance data characteristics of the harmonic suppression device.

[0007] This application provides a method for optimizing the resonance data characteristics of a harmonic suppression device, which employs the following technical solution: A method for optimizing the resonant data characteristics of a harmonic suppression device includes: Obtain the data characteristic information of the open delta zero-sequence voltage; Based on the data feature information, it is determined whether resonance has occurred; If resonance occurs, analyze the type of resonance; Based on the resonance type, generate the corresponding harmonic cancellation execution instruction; After executing the harmonic cancellation instruction, if the resonance disappears, a supplementary information chain is generated based on the data feature information, the resonance occurrence result, and the resonance type, and the supplementary information chain is added to the feature library for resonance determination.

[0008] Through the above technical solution, the zero-sequence voltage of the open delta is an important basis for determining whether ferroresonance has occurred. The data characteristic information of the zero-sequence voltage of the open delta is obtained. The data characteristic information includes voltage change data, voltage frequency information, and related information on voltage and frequency changes over time. Based on the various types of information contained in the data characteristic information, it can be determined whether ferroresonance has occurred in the line.

[0009] If no resonance is determined to have occurred, the execution of ferromagnetic resonance processing will not be triggered. If resonance is determined to have occurred, the type of ferromagnetic resonance will be further determined (e.g., frequency division resonance, fundamental frequency resonance, high-frequency resonance, etc., different resonance types correspond to different processing strategies).

[0010] After determining the resonance type, a corresponding harmonic cancellation execution instruction is generated based on the resonance type to facilitate the execution of the corresponding resonance processing strategy.

[0011] Based on the harmonic elimination execution command, after the resonance processing strategy is executed, the measured data of the open triangle can be obtained to determine whether the resonance has disappeared. If the resonance disappears, it means that the executed harmonic elimination execution command was correct. That is to say, in this resonance processing process, from data analysis, resonance detection, type identification, output of harmonic elimination execution, to the execution command, everything is correct. This process has certain reference value for the subsequent judgment logic modification and analysis. Based on the data feature information, resonance occurrence result, and resonance type, a supplementary information chain is generated and added to the feature library so that the operating system of the harmonic elimination device can analyze the supplementary data, improve the judgment logic of resonance fault analysis, improve the accuracy of resonance fault processing, and improve the self-adjustment capability of the microcomputer harmonic elimination device to the installation environment.

[0012] In a preferred embodiment, the supplementary information chain may be further configured such that it sequentially includes data characteristic information, resonance occurrence result, and resonance type.

[0013] With the above technical solution, since the data feature information, resonance occurrence result, and resonance type are arranged sequentially in the supplementary information chain, after the supplementary information chain is added to the feature library, the system will review the various information in the supplementary information chain in sequence to prevent supplementary information chains containing erroneous information from being added to the feature library.

[0014] In a preferred embodiment, this application can be further configured such that, after adding the supplementary information chain to the feature library for resonance determination, the following steps are included: Based on the resonance type, obtain the determination interval corresponding to the resonance type in the feature library; Based on the voltage frequency information in the determination interval and data feature information, it is identified whether the voltage frequency is in the normal interval or the additional interval. If the voltage frequency is in the additional range, then obtain the resonant trigger frequency of the voltage frequency in the additional range in the past period. If the resonant trigger frequency reaches the preset warning frequency, the range of the normal interval is extended.

[0015] For example, the standard interval for determining a certain resonance type is (a, b). Typically, a positive or negative value for fluctuation is set at the two endpoints of this standard interval (a and b), for example, a fluctuation value of ±k based on a and b. That is, based on the standard interval (a, b), an additional interval is set on both sides of the endpoints of the standard interval. The additional interval to the left of the standard interval is (ak, a), and the additional interval to the right of the standard interval is (b, b+k). In other words, if the voltage frequency of the open triangle falls between ak and b+k, it is identified as a certain resonance type. This article does not discuss extreme cases of whether the interval endpoint values ​​are included; half-brackets are used for technical explanations throughout.

[0016] Using the above technical solution, after the supplementary information chain is added to the feature library, the determination interval (through the voltage frequency of the open triangle) corresponding to the type of ferromagnetic resonance contained in the supplementary information chain is obtained from the feature library. From the voltage frequency information contained in the data feature information, it is determined whether the voltage frequency is in the normal interval or the additional interval of the determination interval. If the voltage frequency is within the additional interval, it means that the voltage frequency of the open triangle has deviated from the normal interval for determining the resonance type and has triggered a ferromagnetic resonance fault. Therefore, the voltage frequency in the additional interval needs to be handled with caution.

[0017] Once the system identifies that the voltage frequency is in the additional range, it obtains the resonant trigger frequency of the voltage frequency in the additional range within a preset time period in the past (for example, if this type of resonance occurred m times in the past month, of which n times the voltage frequency was in the additional range, then the resonant trigger frequency is n / m). If the resonant trigger frequency reaches the warning frequency, it means that this type of resonance with voltage frequency frequently exceeding the normal range has become a common occurrence. If the voltage frequency of this type of resonance fluctuates further in the future, it may reduce the accuracy of the resonance type determination. At this time, it is necessary to extend the range of the normal range in order to improve the determination logic of resonance identification.

[0018] In a preferred embodiment, this application can be further configured such that extending the span of the regular interval includes: Obtain the normal endpoint values ​​of the additional interval far from the voltage frequency in the normal interval, and obtain the voltage frequency; Based on the voltage frequency and the conventional endpoint values, a conventional update interval is generated.

[0019] Using the above technical solution, the regular endpoint values ​​of the additional interval far from the voltage frequency of the regular interval are obtained. After obtaining the voltage frequency, the voltage frequency is used as one of the interval endpoints of the regular update interval, and the regular endpoint values ​​of the regular interval far from the voltage frequency of the additional interval are used as the other interval endpoint values ​​of the regular update interval, thus generating the regular update interval.

[0020] For example, if the voltage frequency is x, and x is in one of the additional intervals (ak, a) corresponding to the regular interval (a, b), then the regular update interval (x, b) is generated with x as one of the interval endpoints and b as the other interval endpoint.

[0021] In a preferred embodiment, this application can be further configured such that, after generating the regular update interval, it includes: Based on the voltage frequency and the preset additional interval span, an additional update interval is generated.

[0022] After generating the regular update interval using the above technical solution, since the endpoint values ​​of the determination interval for this resonance type have changed, the additional interval also needs to be changed accordingly. For example, if the updated regular update interval is (x, b), and the originally preset additional interval span is ±k, then the additional update interval of the regular update interval is set to (xk, b).

[0023] In a preferred embodiment, this application can be further configured such that if the additional update interval overlaps with the additional interval of the adjacent regular interval, the interval span of the additional update interval is shortened.

[0024] After generating the additional update interval using the above technical solution, if the additional update interval overlaps with the additional interval of the adjacent regular interval, and the resonance type is determined based on the values ​​within the overlapping range, the same voltage frequency value may output different resonance types. This will not only cause system disorder, but may also lead to the generation of incorrect harmonic cancellation execution instructions. In this case, shortening the interval span of the additional update interval can reduce the possibility of system disorder and the generation of incorrect harmonic cancellation execution instructions, thereby improving the stability and reliability of the method during execution.

[0025] In a preferred embodiment, this application can be further configured such that shortening the interval span of the additional update interval includes: Based on the two endpoints of the additional interval before the update, referred to as the additional endpoint values, and based on the voltage frequency, the deviation rate of the voltage frequency in the additional endpoint values ​​is calculated; The nearest endpoint value of the additional interval based on the adjacent regular interval is called the intermediate endpoint value. Based on the intermediate endpoint value, the additional endpoint value, and the deviation rate of the additional interval, the endpoint value of the additional update interval is calculated and called the update endpoint value. Based on the updated endpoint value and voltage frequency, the span of the additional update interval is generated.

[0026] Using the above technical solution, if the additional update interval overlaps with the additional interval of the adjacent regular interval after the additional update interval is generated, the deviation rate of the voltage frequency between the two additional endpoint values ​​is calculated. For example, if the two additional endpoint values ​​are a and ak, and the voltage frequency is x, which is between a and ak, the ratio of (ax) to k is calculated. This ratio is the deviation rate, which reflects the degree of deviation of x from a between the two additional endpoint values.

[0027] Since the additional update interval overlaps with the additional interval of the adjacent regular interval, it means that the distance between the additional update interval and the endpoint of the regular update interval is less than the preset interval span. In this case, we first calculate the distance from the endpoint of the additional update interval to the additional interval of the adjacent regular interval, and then use this distance to multiply by the deviation rate to obtain the new interval span of the additional update interval. This reduces the possibility of system disorder while retaining the additional update interval.

[0028] In a preferred embodiment, this application may be further configured such that, after executing the harmonic cancellation instruction, the following is included: If the resonance does not disappear, a harmonic cancellation alarm message will be generated.

[0029] If the resonance does not disappear after executing the harmonic elimination command using the above technical solution, it means that the processing strategy corresponding to the harmonic elimination command has not eliminated the ferromagnetic resonance. In other words, the generated harmonic elimination quality and type do not correspond. Therefore, a harmonic elimination alarm message is generated to warn the system backend operators that the processing strategy corresponding to the harmonic elimination command has not taken effect on this resonance fault, so that further processing can be carried out.

[0030] In a preferred example, this application can be further configured to include, after generating the harmonic cancellation alarm information and before completing the harmonic cancellation correction: Obtain the harmonic cancellation execution instructions and harmonic cancellation instruction set to be executed; Eliminate harmonic elimination instructions from the harmonic elimination instruction set to generate a preferred harmonic elimination instruction set; If data characteristic information indicating that the resonance has not been eliminated is detected again, the elimination instruction to be executed is matched from the set of preferred elimination instructions.

[0031] After generating the harmonic cancellation alarm information using the above technical solution, before the operator completes the harmonic cancellation correction based on the harmonic cancellation alarm information, since the harmonic cancellation strategy used this time has not eliminated the resonance fault, the harmonic cancellation execution instructions generated during this resonance fault handling process are not applicable to this type of resonance fault. Therefore, it is necessary to exclude the harmonic cancellation execution instructions generated this time from the harmonic cancellation instruction set and generate a preferred harmonic cancellation instruction set.

[0032] When the system detects similar data characteristics to the previous harmonic suppression fault again, it matches the harmonic suppression command to be executed from the set of preferred harmonic suppression commands. This improves the accuracy of harmonic suppression command generation, further reduces the impact of the resonance fault on the power grid system, and thus improves the reliability and stability of the power supply of the power grid system.

[0033] In summary, this application includes the following beneficial technical effects: 1. Add supplementary information chains with system optimization significance to the feature library so that the operating system of the harmonic elimination device can analyze the supplementary data volume, improve the judgment logic of resonance fault analysis, improve the accuracy of resonance fault handling, and enhance the self-adjustment capability of the microcomputer harmonic elimination device to the installation environment. 2. The system analyzes various information in the supplementary information chain added to the feature library, modifies the regular and additional intervals for determining resonance faults according to local conditions, improves the determination logic of resonance identification, and enhances the accuracy of resonance fault type determination. 3. When the system detects similar data characteristics to the previous harmonic suppression fault again, it matches the harmonic suppression command to be executed from the set of preferred harmonic suppression commands, which improves the accuracy of harmonic suppression command generation, reduces the impact of the resonance fault on the power grid system, and improves the reliability and stability of the power supply of the power grid system. Attached Figure Description

[0034] Figure 1 This is a flowchart illustrating the resonant data feature optimization method in the embodiments of this application.

[0035] Figure 2 This is a flowchart illustrating the process of extending the conventional interval in an embodiment of this application.

[0036] Figure 3 This is a schematic diagram of the process for generating a regular update interval in an embodiment of this application.

[0037] Figure 4 This is a schematic diagram of the process for generating the interval span of the additional update interval in an embodiment of this application.

[0038] Figure 5 This is a flowchart illustrating the process of matching the harmonic elimination instruction to be executed from the harmonic elimination optimization instruction set in this application embodiment.

[0039] Figure 6 This is a structural diagram of the regular interval, the regular update interval, the additional interval, and the additional update interval.

[0040] Figure 7 This is a schematic diagram showing the overlap between the additional update interval and the additional interval of the adjacent regular interval. Detailed Implementation

[0041] The following is in conjunction with the appendix Figure 1 - Appendix Figure 7 This application will be described in further detail.

[0042] This application discloses a method for optimizing the resonant data characteristics of a harmonic suppression device.

[0043] See attached document Figure 1 As shown, a method for optimizing the resonant data characteristics of a harmonic suppression device includes the following processing steps: S101. Obtain the data characteristic information of the open delta zero-sequence voltage.

[0044] In practice, the zero-sequence voltage of the open delta is an important basis for determining whether ferroresonance has occurred. The data characteristic information of the zero-sequence voltage of the open delta is obtained. The data characteristic information includes voltage change data, voltage frequency information, and related information on voltage and frequency changes over time. Based on the various types of information contained in the data characteristic information, it can be determined whether ferroresonance has occurred in the line.

[0045] S102. Based on the data characteristic information, determine whether resonance has occurred.

[0046] S103. If resonance occurs, analyze the resonance type.

[0047] In practice, if no resonance is determined to have occurred, the processing of ferromagnetic resonances will not be triggered. If resonance is determined to have occurred, the type of ferromagnetic resonance will be further determined, such as: frequency division resonance, fundamental frequency resonance, high-frequency resonance, etc. Different resonance types correspond to different processing strategies.

[0048] S104. Based on the resonance type, generate the corresponding harmonic cancellation execution instruction.

[0049] In practice, after determining the resonance type, a corresponding harmonic cancellation execution instruction is generated based on the resonance type to facilitate the execution of the corresponding resonance processing strategy.

[0050] S105. After executing the harmonic cancellation instruction, if the resonance disappears, a supplementary information chain is generated based on the data characteristic information, the resonance occurrence result, and the resonance type, and the supplementary information chain is added to the feature library for resonance determination.

[0051] In practice, based on the harmonic elimination execution command, after the resonance processing strategy is executed, the measured data of the open triangle is obtained to determine whether the resonance has disappeared.

[0052] If the resonance disappears, it means that the executed harmonic suppression command was correct. In other words, the entire process of this resonance processing, from data analysis, resonance detection, type identification, output of harmonic suppression execution, to the execution of the command, was correct. This process has certain reference value for subsequent judgment logic modification and analysis. Based on data feature information, resonance occurrence results, and resonance type, a supplementary information chain is generated and added to the feature library. This allows the operating system of the harmonic suppression device to analyze the supplementary data, improve the judgment logic of resonance fault analysis, enhance the accuracy of resonance fault handling, and improve the self-adjustment capability of the microcomputer harmonic suppression device to the installation environment.

[0053] The supplementary information chain includes data characteristic information, resonance occurrence result, and resonance type in sequence. Since the data characteristic information, resonance occurrence result, and resonance type are arranged sequentially in the supplementary information chain, the system will review the various information in the supplementary information chain sequentially after the supplementary information chain is added to the feature library to prevent supplementary information chains containing erroneous information from being added to the feature library.

[0054] See attached document Figure 2 As shown, after step S105, the following processing steps may also be included: S201. Based on the resonance type, obtain the judgment interval corresponding to the resonance type in the feature library.

[0055] In this article, all points within a "range" refer to different voltage frequencies. The determination range can be understood as follows: for each resonance type, there exists a corresponding voltage frequency determination range in the feature library. That is, when the voltage frequency falls within this range, it is determined to be the resonance type corresponding to this determination range.

[0056] For example: refer to the appendix Figure 6 As shown, the standard interval for determining a certain resonance type is (a, b). Typically, a positive or negative value for fluctuation is set at the two endpoints of the standard interval (i.e., a and b). For example, a fluctuation value of ±k is set based on a and b. That is, based on the standard interval (a, b), an additional interval is set on both sides of the endpoints of the standard interval. The additional interval to the left of the standard interval is (ak, a), and the additional interval to the right of the standard interval is (b, b+k). Therefore, the determination interval for this resonance type is (ak, b+k), the standard interval is (a, b), and the additional intervals to the left and right of the standard interval are (ak, a) and (b, b+k), respectively. For ease of understanding and expression, this article does not discuss extreme issues regarding whether the endpoint values ​​are included; instead, half-brackets are used for technical explanation.

[0057] In practice, after the supplementary information chain is added to the feature library, the determination interval corresponding to the type of ferromagnetic resonance contained in the supplementary information chain is obtained from the feature library.

[0058] S202. Based on the voltage frequency information in the judgment interval and data feature information, identify whether the voltage frequency is in the normal interval or the additional interval.

[0059] In practice, the voltage frequency is determined from the voltage frequency information contained in the data feature information to determine whether the voltage frequency falls within the regular interval or the additional interval of the judgment interval. For example, if the voltage frequency is x, and the voltage frequency x is between (a, b), then the voltage frequency x is within the regular interval; if the voltage frequency x is between (ak, a) or (b, b+k), then the voltage frequency x is within the additional interval.

[0060] S203. If the voltage frequency is in the additional range, obtain the preset resonant trigger frequency of the voltage frequency in the additional range during the past period.

[0061] In practice, if the voltage frequency is within the additional range, it means that the voltage frequency of the open triangle has deviated from the normal range for determining the resonance type and has triggered a ferroresonant fault. Therefore, the voltage frequency in the additional range needs to be handled carefully. The resonance trigger frequency of the voltage frequency in the additional range in the past preset time period is obtained (for example, in the past month, this type of resonance has occurred m times, of which the voltage frequency in the additional range has occurred n times, so the resonance trigger frequency is n / m).

[0062] S204. If the resonant trigger frequency reaches the preset warning frequency, the range of the normal interval is extended.

[0063] In practice, if the resonant trigger frequency reaches the warning frequency, it indicates that the resonant type with voltage frequencies frequently exceeding the normal range has become a common occurrence. If the voltage frequency of this type of resonant type fluctuates further in the future, it may reduce the accuracy of the resonant type determination. At this time, it is necessary to extend the range of the normal range in order to improve the determination logic of resonant identification. The specific method for extending the range of the normal range will be detailed later.

[0064] See attached document Figure 3 and attached Figure 6 As shown, extending the span of the regular interval in step S204 may include the following processing steps: S301. Obtain the normal endpoint values ​​of the additional interval far from the voltage frequency in the normal interval, and obtain the voltage frequency.

[0065] In practice, the extended regular interval is called the regular update interval. For example, if the voltage frequency x falls within (ak, a), the obtained regular endpoint value is b, and the voltage frequency x is obtained.

[0066] S302. Generate a regular update interval based on voltage frequency and regular endpoint values.

[0067] In implementation, the regular update interval (x, b) is generated with x and b as the two endpoints of the regular update interval, respectively.

[0068] See attached document Figure 3 As shown, after generating the regular update interval, the process includes generating an additional update interval based on the voltage frequency and a preset additional interval span.

[0069] In implementation, after generating the regular update interval, since the endpoint values ​​of the interval used to determine this resonance type have changed, the additional interval also needs to be adjusted accordingly. For example, if the updated regular update interval is (x, b), and the originally preset additional interval span is ±k, then the additional update interval for the regular update interval is set to (xk, b). Thus, the regular update interval is (x, b), the additional update interval on the left is (xk, b), and the additional interval on the right is (b, b+k).

[0070] See attached document Figure 7 As shown, if the additional update interval overlaps with the additional interval of the adjacent regular interval, the interval span of the additional update interval is shortened.

[0071] In practice, after generating the additional update interval, if the additional update interval overlaps with the additional interval of the adjacent regular interval, and the resonance type is determined based on the values ​​within the overlapping range, the same voltage frequency value may output different resonance types. This can not only cause system disorder, but may also lead to the generation of incorrect harmonic cancellation execution instructions. In this case, shortening the interval span of the additional update interval can reduce the possibility of system disorder and the generation of incorrect harmonic cancellation execution instructions, thereby improving the stability and reliability of the method during execution.

[0072] See attached document Figure 4 As shown, shortening the interval span of the additional update interval includes: S401. Based on the two endpoints of the additional interval before the update, referred to as the additional endpoint values, and based on the voltage frequency, calculate the deviation rate of the voltage frequency in the additional endpoint values.

[0073] In practice, if the additional update interval overlaps with the additional interval of the adjacent regular interval after the additional update interval is generated, the deviation rate of the voltage frequency between the two additional endpoint values ​​is calculated. For example, if the two additional endpoint values ​​are a and ak, and the voltage frequency is x, which is between a and ak, the ratio of (ax) to k is calculated. This ratio is the deviation rate, which reflects the degree of deviation of x from a between the two additional endpoint values.

[0074] S402. The nearest endpoint value of the additional interval based on the adjacent regular interval is called the intermediate endpoint value. Based on the intermediate endpoint value, the additional endpoint value, and the deviation rate of the additional interval, the endpoint value of the additional update interval is calculated and called the update endpoint value.

[0075] S403. Based on the updated endpoint values ​​and voltage frequency, generate the interval span of the additional update interval.

[0076] In implementation, since the additional update interval overlaps with the additional interval of the adjacent regular interval, it indicates that the distance between the additional update interval and the endpoint of the regular update interval is less than the preset interval span. In this case, the distance from the endpoint of the additional update interval to the additional interval of the adjacent regular interval is first calculated. Then, this distance is multiplied by the deviation rate to obtain the new interval span of the additional update interval. This reduces the possibility of system disorder while retaining the additional update interval.

[0077] After executing the harmonic cancellation instruction, the following steps are taken: if the resonance does not disappear, a harmonic cancellation alarm message is generated.

[0078] During implementation, if the resonance does not disappear after executing the harmonic elimination command, it indicates that the processing strategy corresponding to the harmonic elimination command has not eliminated the ferromagnetic resonance. In other words, the generated harmonic elimination quality and type do not correspond to the harmonic elimination. Therefore, a harmonic elimination alarm message is generated to warn the system backend operators that the processing strategy corresponding to the harmonic elimination command has not taken effect on this resonance fault, so that further processing can be carried out.

[0079] See attached document Figure 5 As shown, after generating the harmonic cancellation alarm information and before completing the harmonic cancellation correction, the following processing steps may be included: S501. Obtain the harmonic cancellation execution instructions and harmonic cancellation instruction set to be executed.

[0080] S502. Eliminate harmonic elimination execution instructions from the harmonic elimination instruction set to generate a preferred harmonic elimination instruction set.

[0081] In practice, the harmonic cancellation instruction set contains multiple instructions for handling resonance faults. After generating the harmonic cancellation alarm information, before the operator completes the harmonic cancellation correction based on the alarm information, since the harmonic cancellation strategy used in this process does not eliminate the resonance fault, the harmonic cancellation execution instructions generated during this resonance fault handling process are not applicable to this type of resonance fault. Therefore, it is necessary to exclude the harmonic cancellation execution instructions generated in this process from the harmonic cancellation instruction set and generate a preferred harmonic cancellation instruction set.

[0082] S503. When data characteristic information indicating that the resonance has not been eliminated is detected again, the elimination instruction to be executed is matched from the set of preferred elimination instructions.

[0083] In practice, when the system detects similar data characteristics to the previous harmonic suppression fault again, it matches the harmonic suppression command to be executed from the set of preferred harmonic suppression commands. This improves the accuracy of harmonic suppression command generation, further reduces the impact of the resonance fault on the power grid system, and thus improves the reliability and stability of the power supply of the power grid system.

[0084] The embodiments described in this specific implementation are all preferred embodiments of this application and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A method for optimizing the resonance data characteristics of a harmonic elimination device, characterized by, The method comprises the following steps: acquiring data characteristic information of open delta zero sequence voltage; determining whether resonance occurs based on the data characteristic information; analyzing the resonance type if resonance occurs; generating corresponding resonance elimination execution instructions based on the resonance type; generating a supplementary information chain based on the data characteristic information, the resonance occurrence result and the resonance type, and supplementing the supplementary information chain to a resonance determination characteristic library after executing the resonance elimination execution instructions and if the resonance disappears.

2. The method for optimizing the resonant data characteristics of a harmonic suppression device according to claim 1, characterized in that, The supplementary information chain comprises the data characteristic information, the resonance occurrence result and the resonance type in sequence.

3. The method of claim 1, wherein the harmonic cancellation device is a harmonic cancellation device of claim 1. After supplementing the supplementary information chain to the resonance determination characteristic library, the method comprises the following steps: acquiring a determination interval corresponding to the resonance type in the characteristic library based on the resonance type; identifying whether the voltage frequency is in a normal interval or an additional interval based on the determination interval and voltage frequency information in the data characteristic information; if the voltage frequency is in the additional interval, acquiring a resonance trigger frequency of the voltage frequency in a preset past period in the additional interval; if the resonance trigger frequency reaches a preset alert frequency, extending the interval span of the normal interval.

4. The method of claim 3, wherein the resonance data characteristic is optimized by, The extending of the interval span of the normal interval comprises the following steps: acquiring a normal endpoint value of the normal interval away from the additional interval where the voltage frequency is located, and acquiring the voltage frequency; generating a normal update interval based on the voltage frequency and the normal endpoint value.

5. The method of claim 4, wherein the data characteristic is a resonant frequency of the device. After generating the normal update interval, the method comprises the following steps: generating an additional update interval based on the voltage frequency and a preset additional interval span.

6. The method of claim 5, wherein the data characteristic is a resonant frequency of the device. If the additional update interval and an additional interval of a neighboring normal interval overlap, the interval span of the additional update interval is shortened.

7. The method of claim 6, wherein the data characteristic is a resonant frequency of the device. The shortening of the interval span of the additional update interval comprises the following steps: based on two endpoints of the additional interval before updating, which are called additional endpoint values, and based on the voltage frequency, calculating a deviation rate of the voltage frequency in the additional endpoint values; based on a nearest endpoint value of the additional interval of the neighboring normal interval, which is called an intermediate endpoint value, and based on the intermediate endpoint value, the additional endpoint value and the additional interval deviation rate, calculating an endpoint value of the additional update interval, which is called an updated endpoint value; generating the interval span of the additional update interval based on the updated endpoint value and the voltage frequency.

8. The method of claim 1, wherein the harmonic cancellation device is a harmonic cancellation device of claim 1. After executing the resonance elimination execution instructions, the method comprises the following steps: if the resonance does not disappear, generating resonance elimination alarm information.

9. The method of claim 8, wherein the resonance data characteristic is optimized by, Before completing resonance elimination correction after generating the resonance elimination alarm information, the method comprises the following steps: acquiring the executed resonance elimination execution instructions and a resonance elimination instruction set; excluding the resonance elimination execution instructions from the resonance elimination instruction set to generate a resonance elimination preferred instruction set; when data characteristic information of uneliminated resonance is monitored again, matching resonance elimination instructions to be executed from the resonance elimination preferred instruction set.

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