Relay protection setting constant value information intelligent calibration system and method thereof

By introducing intelligent calibration methods in the relay protection system, the amplitude instability, upward trend and waveform abnormal coefficients are calculated, and the situation where the power data temporarily exceeds the threshold but is not faulty is solved, unnecessary power interruption is reduced, and the stability of power consumption is ensured.

CN119965800APending Publication Date: 2025-05-09GUANGXI POWER CO LTD HECHI POWER SUPPLY BUREAU
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Patent Information

Application Number
CN202510097567.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-22
Publication Date
2025-05-09

AI Technical Summary

Technical Problem

In some special scenarios, power data such as voltage and current may temporarily exceed the preset threshold, but it does not necessarily mean that it is a power failure, resulting in unnecessary power interruption.

Method used

An intelligent calibration system and method for setting value information of relay protection settings is proposed. By calculating the amplitude unstable coefficient, upward trend coefficient and waveform abnormal coefficient, the abnormal situation of power data is evaluated, and whether it is necessary to increase the fixed value of relay protection settings is required.

Benefits of technology

It is possible to intelligently determine whether the power data such as voltage and current exceed the preset threshold is caused by a power failure, avoid unnecessary power interruption, and ensure convenient power use.

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Abstract

The invention discloses an intelligent calibration system and method for relay protection setting constant value information, and relates to the technical field of power protection. When power data exceed a corresponding preset threshold value, the amplitude of the power data exceeding the corresponding preset threshold value within a preset time period is obtained, and an amplitude instability coefficient is calculated; calculating a rising trend coefficient according to the actual value of the power data; obtaining a current value and calculating a waveform abnormal coefficient; obtaining an evaluation coefficient according to the amplitude instability coefficient, the rising trend coefficient and the waveform anomaly coefficient, comparing the evaluation coefficient with a preset evaluation coefficient threshold value, and judging whether a fixed value of relay protection setting needs to be improved or not according to a comparison result; according to the method, whether the power data such as voltage and current exceed the preset threshold value or not is caused by power failure or only normal power demand fluctuation can be judged, the relay protection setting constant value can be calibrated intelligently, unnecessary power interruption is reduced, and convenience in power utilization is ensured.
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Description

Technical Field

[0001] The present invention relates to the technical field of power protection, and in particular to an intelligent calibration system and method for setting fixed value information of relay protection. Background Art

[0002] Relay protection setting is a key technology used in power systems to protect equipment and the stable operation of power grids. It monitors the operating status of the power system in real time by setting thresholds for power data parameters such as voltage, current, and power. When the actual operating parameters exceed the preset values, the system will determine that a fault may have occurred and take prompt measures (such as disconnecting related lines or equipment) to avoid the expansion of the fault scope or further damage to power equipment. This mechanism plays an important role in ensuring power grid safety, stable equipment operation, and rapid fault isolation;

[0003] However, in some special scenarios, power data such as voltage and current will indeed rise temporarily, but it is not a power failure. At this time, power data such as voltage and current may temporarily exceed the preset threshold. However, if the relay protection is still turned on at this time, it may cause unnecessary power outages, resulting in inconvenience in electricity use. Summary of the invention

[0004] The purpose of the present invention is to solve the above-mentioned problems and provide an intelligent calibration system and method for relay protection setting constant value information.

[0005] In a first aspect of the present invention, a method for intelligently calibrating relay protection setting information is first proposed, the method comprising:

[0006] When the power data exceeds the corresponding preset threshold, the amplitude of the power data exceeding the corresponding preset threshold within the preset time period is obtained, and the amplitude instability coefficient is calculated according to the amplitude of the power data exceeding the corresponding preset threshold;

[0007] Obtaining actual values ​​of power data within a preset time period, and calculating an upward trend coefficient based on the actual values ​​of the power data;

[0008] Obtaining the current value within a preset time period, and calculating the waveform abnormality coefficient according to the current value;

[0009] An evaluation coefficient is obtained based on the amplitude instability coefficient, the rising trend coefficient and the waveform anomaly coefficient. The evaluation coefficient is compared with a preset evaluation coefficient threshold, and it is determined whether the set value of the relay protection needs to be increased based on the comparison result.

[0010] Optionally, obtaining the amplitude of the power data within a preset time period exceeding the corresponding preset threshold value, and calculating the amplitude instability coefficient includes:

[0011] Obtaining the amplitude of the power data in a preset time period exceeding the corresponding preset threshold value, and obtaining an amplitude sequence based on time sequence;

[0012] The amplitude in the amplitude sequence is marked as Q w , w represents the order number of the amplitude in the amplitude sequence, w=1, 2, 3, 4, ..., u, u is the total amplitude in the amplitude sequence, and u is a positive integer;

[0013] Compute the mean of the magnitude series The calculation formula is:

[0014] The standard deviation σ of the amplitude series is calculated as:

[0015] Calculate the amplitude instability coefficient, the calculation formula is: Where Dsx is the amplitude instability coefficient.

[0016] Optionally, obtaining an actual value of power data within a preset time period, and calculating an upward trend coefficient according to the actual value of the power data includes:

[0017] Obtaining the actual value of the power data within a preset time period to obtain a time-based point power value sequence;

[0018] Compare each two adjacent power values ​​in the power value sequence. If the latter power value is less than the former power value, the trend between the two adjacent power values ​​is recorded as a downward trend; if the latter power value is not less than the former power value, the trend between the two adjacent power values ​​is recorded as an upward trend.

[0019] Add the number corresponding to the upward trend and the number corresponding to the downward trend to get the total number of trends;

[0020] Divide the number corresponding to the upward trend by the total number of trends to obtain the upward trend coefficient.

[0021] Optionally, obtaining the current value within a preset time period and calculating the waveform abnormality coefficient according to the current value includes:

[0022] Obtain the current value within the preset time period and represent the current value as x(t), x(t)={x(t1), x(t2), x(t3).....x(t N )}, where x(t N ) is at time t N The current value collected; and N is the total number of current values ​​collected;

[0023] Use Fast Fourier Transform (FFT) to convert the time domain signal x(t) into the frequency domain signal X(f), the expression is: Where X(f) is the frequency domain signal, f is the frequency, j is the imaginary unit, and t n For time point,

[0024] Extract the fundamental wave and harmonic components from X(f):

[0025] Fundamental wave V1: The amplitude of the frequency f1, usually the main component of the signal;

[0026] mth harmonic V m : The amplitude of the frequency m·f1, where m=2, 3.....;

[0027] The energy content of the harmonic components in the quantified signal relative to the fundamental wave is used to obtain the harmonic distortion rate THD, which is calculated as follows:

[0028] The harmonic distortion rate THD is used as the waveform abnormality coefficient.

[0029] Optionally, the evaluation coefficients obtained according to the amplitude instability coefficient, the rising trend coefficient and the waveform anomaly coefficient include:

[0030]

[0031] Where, ERT is the evaluation coefficient, Dsx, ED and TG are the amplitude instability coefficient, rising trend coefficient and waveform anomaly coefficient respectively, a1, a2, a3 are the preset proportional coefficients of Dsx, ED and TG respectively, and a1, a2, a3 are all greater than 0.

[0032] Optionally, comparing the evaluation coefficient with a preset evaluation coefficient threshold, and judging whether it is necessary to increase the set value of the relay protection setting according to the comparison result includes:

[0033] If the evaluation coefficient is less than the preset evaluation coefficient threshold, it is necessary to increase the set value of the relay protection setting and calibrate the set value of the relay protection setting;

[0034] If the evaluation coefficient is not less than the preset evaluation coefficient threshold, there is no need to increase the set value of the relay protection setting, there is no need to calibrate the set value of the relay protection setting, and at this time the relay protection setting is power-off protection.

[0035] In a second aspect of the present invention, an intelligent calibration system for relay protection setting information is provided, the system comprising:

[0036] Amplitude instability module: when the power data exceeds the corresponding preset threshold, the amplitude of the power data exceeding the corresponding preset threshold within the preset time period is obtained, and the amplitude instability coefficient is calculated according to the amplitude of the power data exceeding the corresponding preset threshold;

[0037] Upward trend module: obtains the actual value of power data within a preset time period, and calculates the upward trend coefficient based on the actual value of power data;

[0038] Waveform anomaly module: obtains the current value within a preset time period and calculates the waveform anomaly coefficient based on the current value;

[0039] Calibration module: obtain the evaluation coefficient according to the amplitude instability coefficient, the rising trend coefficient and the waveform anomaly coefficient, compare the evaluation coefficient with the preset evaluation coefficient threshold, and judge whether it is necessary to increase the constant value of the relay protection setting according to the comparison result.

[0040] Beneficial effects of the present invention:

[0041] The present invention proposes an intelligent calibration system and method for relay protection setting constant information. When power data exceeds a corresponding preset threshold, the amplitude of the power data in a preset time period exceeding the corresponding preset threshold is obtained to calculate the amplitude instability coefficient; the actual value of the power data in the preset time period is obtained to calculate the rising trend coefficient; the current value in the preset time period is obtained to calculate the waveform anomaly coefficient; an evaluation coefficient is obtained according to the amplitude instability coefficient, the rising trend coefficient and the waveform anomaly coefficient, the evaluation coefficient is compared with the preset evaluation coefficient threshold, and it is judged whether it is necessary to increase the constant of the relay protection setting according to the comparison result; in this way, when power data such as voltage and current rise and the power data such as voltage and current exceed the preset threshold, it can be judged whether the power data such as voltage and current exceeding the preset threshold is caused by a power failure or just caused by normal fluctuations in electricity demand, and the relay protection setting constant can be intelligently calibrated to reduce unnecessary power interruptions and ensure convenient electricity use. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The present invention will be further described below in conjunction with the accompanying drawings.

[0043] Figure 1 Flow chart of intelligent calibration method for setting setting information of relay protection;

[0044] Figure 2 Framework diagram of the intelligent calibration system for setting setting information of relay protection. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative work shall fall within the scope of protection of the present invention.

[0047] The embodiment of the present invention provides an intelligent calibration method for relay protection setting information. Figure 1 , Figure 1 A flowchart of an intelligent calibration method for relay protection setting information provided by an embodiment of the present invention. The method comprises the following steps:

[0048] When the power data exceeds the corresponding preset threshold, the amplitude of the power data exceeding the corresponding preset threshold within the preset time period is obtained, and the amplitude instability coefficient is calculated according to the amplitude of the power data exceeding the corresponding preset threshold;

[0049] Obtaining actual values ​​of power data within a preset time period, and calculating an upward trend coefficient based on the actual values ​​of the power data;

[0050] Obtaining the current value within a preset time period, and calculating the waveform abnormality coefficient according to the current value;

[0051] An evaluation coefficient is obtained based on the amplitude instability coefficient, the rising trend coefficient and the waveform anomaly coefficient. The evaluation coefficient is compared with a preset evaluation coefficient threshold, and it is determined whether the set value of the relay protection needs to be increased based on the comparison result.

[0052] Based on the intelligent calibration method for relay protection setting constant information provided by the embodiment of the present invention, when power data such as voltage and current rise and exceed preset thresholds, it can be determined whether the voltage and current and other power data exceeding the preset thresholds are caused by power failures or are just normal fluctuations in electricity demand. The relay protection setting constants can be intelligently calibrated to reduce unnecessary power interruptions and ensure convenient electricity use.

[0053] In one embodiment, obtaining the amplitude of the power data within a preset time period exceeding the corresponding preset threshold, and calculating the amplitude instability coefficient includes:

[0054] Obtaining the amplitude of the power data in a preset time period exceeding the corresponding preset threshold value, and obtaining an amplitude sequence based on time sequence;

[0055] The amplitude in the amplitude sequence is marked as Q w , w represents the order number of the amplitude in the amplitude sequence, w=1, 2, 3, 4, ..., u, u is the total amplitude in the amplitude sequence, and u is a positive integer;

[0056] Compute the mean of the magnitude series The calculation formula is:

[0057] The standard deviation σ of the amplitude series is calculated as:

[0058] Calculate the amplitude instability coefficient, the calculation formula is: Among them, Dsx is the amplitude instability coefficient.

[0059] It should be noted that power data refers to power data related to the operating status of the power system, such as voltage, current, and power. In addition, the preset threshold corresponding to the power data is the initial relay protection setting value set by the original staff. The preset time period is set by professionals according to the actual situation, and no specific limitation or elaboration is made. When the power parameters in the system exceed the set threshold, the monitoring system will record the relevant data and regularly collect and store the power data within the set time period. Data collection can be completed through sensors or collection devices installed on relevant equipment, and the amplitude of the power data exceeding the corresponding preset threshold is calculated.

[0060] It should be noted that when the amplitude instability coefficient is smaller, it means that the voltage and current and other power data exceeding the preset threshold are not caused by power failure, but the power data rises due to power consumption. If the relay protection is still turned on at this time, it may cause unnecessary power interruption, resulting in inconvenience in power use. The reason is that the smaller the amplitude instability coefficient is, the more stable the fluctuation of power data is, and the fluctuation is more caused by normal fluctuations in power demand, rather than power failures or abnormal events. In this case, the temporary voltage and current exceeding the preset threshold does not mean that there is a potential risk in the power system, but is a normal response of the system to load changes. Therefore, if the relay protection system is still triggered in this situation, it may be misjudged as a fault, resulting in unnecessary power interruption, causing inconvenience to users, and even affecting the stable supply of daily power demand. Correctly judging the amplitude instability coefficient can avoid such misoperation and ensure that the system can maintain continuous and reliable power supply services under normal fluctuations.

[0061] In one implementation, the benefits of analyzing the amplitude instability coefficient for determining whether the voltage, current and other power data exceeding the preset threshold is caused by a power failure or just normal fluctuations in power demand are: it can accurately quantify the degree of power data fluctuation. When the amplitude instability coefficient is small, it means that the fluctuation is relatively stable. The system can distinguish between normal load changes and fluctuations caused by faults, thereby avoiding unnecessary protection actions due to misjudgment; secondly, using this coefficient can reduce misoperation caused by normal fluctuations such as peak power consumption or equipment switching, improve the stability and reliability of the power system, and avoid the troubles and inconveniences caused to users by frequent power outages. Finally, accurate judgment helps to make the protection system more intelligent, and while ensuring the safety of equipment, it can avoid excessive intervention in power supply as much as possible, thereby improving the efficiency of power resource utilization.

[0062] In one embodiment, obtaining the actual value of the power data within a preset time period and calculating the rising trend coefficient according to the actual value of the power data includes:

[0063] Obtaining the actual value of the power data within a preset time period to obtain a time-based point power value sequence;

[0064] Compare each two adjacent power values ​​in the power value sequence. If the latter power value is less than the former power value, the trend between the two adjacent power values ​​is recorded as a downward trend; if the latter power value is not less than the former power value, the trend between the two adjacent power values ​​is recorded as an upward trend.

[0065] Add the number corresponding to the upward trend and the number corresponding to the downward trend to get the total number of trends;

[0066] Divide the number corresponding to the upward trend by the total number of trends to obtain the upward trend coefficient.

[0067] It should be noted that when the rising trend coefficient is smaller, it means that the power data such as voltage and current may temporarily exceed the preset threshold value, which is not caused by power failure, but the power data rises due to power consumption. If the relay protection is still turned on at this time, it may cause unnecessary power interruption, resulting in inconvenience in power use. The reason is that when the rising trend coefficient is smaller, it indicates that the fluctuation of power data is mostly sporadic or short-term, and there is no continuous upward trend. This is usually caused by instantaneous changes in power demand or other normal fluctuations, rather than power system failures; at this time, the power system may temporarily exceed the preset threshold value only because of the increase in instantaneous load or the temporary change in the working state of some equipment without a significant continuous upward trend. If the relay protection is still started in this case, it may be misjudged that there is a fault in the system, thereby triggering protection measures such as power outages; this unnecessary protection action will not only cause frequent disconnection of equipment and power outages, but may also cause inconvenience to normal users' power use, affecting the stability of daily life or production. Therefore, accurately judging the rising trend coefficient and avoiding misjudging power fluctuations as faults are the key to ensuring the stability of power supply and reducing unnecessary power interruptions.

[0068] In one implementation method, the benefits of analyzing the rising trend coefficient for determining whether power data such as voltage and current exceeding a preset threshold value is caused by a power fault or is simply caused by normal fluctuations in power demand are as follows: it can help the power system intelligently distinguish between long-term fault trends and short-term normal fluctuations, avoid false triggering of relay protection due to instantaneous load fluctuations or short-term changes in equipment, and reduce unnecessary power outages; by analyzing the rising trend coefficient, the system can identify whether there is a continuous upward trend in the power data, which is of great significance for timely and accurate judgment of power faults; reasonable use of the rising trend coefficient can improve the response efficiency of the power system, avoid excessive protection measures, ensure the stability and continuity of power supply, provide users with more reliable and stable power services, and reduce economic losses and inconveniences caused by misoperation.

[0069] In one embodiment, obtaining the current value within a preset time period and calculating the waveform abnormality coefficient according to the current value includes:

[0070] Obtain the current value within the preset time period and represent the current value as x(t), x(t)={x(t1), x(t2), x(t3).....x(t N )}, where x(t N ) is at time t N The current value collected; and N is the total number of current values ​​collected;

[0071] Use Fast Fourier Transform (FFT) to convert the time domain signal x(t) into the frequency domain signal X(f), the expression is: Where X(f) is the frequency domain signal, f is the frequency, j is the imaginary unit, and t n For time point,

[0072] Extract the fundamental wave and harmonic components from X(f):

[0073] Fundamental wave V1: The amplitude of the frequency f1, usually the main component of the signal; for AC, the fundamental wave is its frequency (for example, in a 50Hz power system, the frequency of the fundamental wave is 50Hz);

[0074] mth harmonic V m : The amplitude of the frequency m·f1, where m=2, 3.....They are integer multiple frequency components of the fundamental wave. These are high-frequency components, usually related to noise, faults, etc. generated by the equipment;

[0075] The energy content of the harmonic components in the quantified signal relative to the fundamental wave is used to obtain the harmonic distortion rate THD, which is calculated as follows:

[0076] The harmonic distortion rate THD is used as the waveform abnormality coefficient.

[0077] It should be noted that the waveform anomaly coefficient uses the harmonic distortion rate (THD) to indicate the degree of waveform anomaly. Generally speaking, the larger the THD, the more significant the harmonic components in the waveform, which may be due to equipment failure, load changes, or power system problems.

[0078] It should be noted that when the waveform anomaly coefficient is smaller, it means that the power data such as voltage and current may temporarily exceed the preset threshold value, which is not caused by power failure, but the power data increases due to power consumption. If the relay protection is still turned on at this time, it may cause unnecessary power interruption, resulting in inconvenience in power consumption. The reason is that when the waveform anomaly coefficient is smaller, it means that the current waveform in the power system is relatively stable and the harmonic components are relatively small, indicating that the fluctuation of power data is not caused by equipment failure or system abnormality, but is more likely to be caused by normal fluctuations in power demand. In this case, the voltage or current may exceed the preset threshold value temporarily, but this does not mean that there is a fault. Therefore, if the relay protection measures are still enabled at this time, unnecessary power interruption may occur due to excessive system reaction. This will not only affect the continuity and stability of power consumption, but may also cause inconvenience to users, especially during peak hours or when power demand is large. Frequent power outages may cause equipment damage, production stagnation and other problems. Therefore, in view of this situation, it is very important to reasonably evaluate the waveform anomaly coefficient and avoid excessive activation of relay protection, which can effectively avoid unnecessary interruptions and ensure the reliability of power supply.

[0079] In one implementation, the benefits of analyzing the waveform anomaly coefficient in determining whether the voltage, current and other power data exceeding the preset threshold are caused by power failure or normal power demand fluctuations are as follows: the waveform anomaly coefficient can effectively identify the harmonic components in the power signal. Harmonics are often closely related to abnormal phenomena such as equipment failure, system instability or external interference, so it can help distinguish between power failures and normal power demand fluctuations. When the harmonic distortion rate is high, it indicates that the waveform of the power data may have been distorted, and the system may face equipment failure or abnormal power environment, while normal power fluctuations will not significantly change the stability of the waveform. By accurately judging the waveform anomaly coefficient, potential power failures can be identified in a timely manner to avoid misjudgment as normal fluctuations, thereby reducing power outages and unnecessary protective measures caused by misoperation and ensuring the stability and reliability of the power system.

[0080] In one embodiment, the evaluation coefficient obtained according to the amplitude instability coefficient, the rising trend coefficient and the waveform abnormality coefficient includes:

[0081]

[0082] Where, ERT is the evaluation coefficient, Dsx, ED and TG are the amplitude instability coefficient, rising trend coefficient and waveform anomaly coefficient respectively, a1, a2, a3 are the preset proportional coefficients of Dsx, ED and TG respectively, and a1, a2, a3 are all greater than 0.

[0083] It should be noted that a1, a2, and a3 are set by professionals according to actual conditions. Generally, the sum of a1, a2, and a3 is 1. For example, a1, a2, and a3 can be 0.2, 0.4, and 0.4 respectively. They can also be other numbers without specific limitations. In addition, before calculating the evaluation coefficient, it is necessary to remove the units of the amplitude instability coefficient, the rising trend coefficient, and the waveform anomaly coefficient.

[0084] In one embodiment, comparing the evaluation coefficient with a preset evaluation coefficient threshold, and judging whether it is necessary to increase the setting value of the relay protection according to the comparison result includes:

[0085] If the evaluation coefficient is less than the preset evaluation coefficient threshold, it is necessary to increase the set value of the relay protection setting and calibrate the set value of the relay protection setting;

[0086] If the evaluation coefficient is not less than the preset evaluation coefficient threshold, there is no need to increase the set value of the relay protection setting, there is no need to calibrate the set value of the relay protection setting, and at this time the relay protection setting is power-off protection.

[0087] It should be noted that the preset evaluation coefficient threshold is set by professionals based on actual circumstances and is not limited or elaborated on in detail.

[0088] In one implementation, when the evaluation coefficient is less than the preset evaluation coefficient threshold, it means that the fluctuation of the voltage, current and other data of the power system exceeding the threshold is not caused by power failure, but by normal power demand or temporary load fluctuation. In this case, the data fluctuations in the power system do not show enough abnormal characteristics, so it can be reasonably inferred that these fluctuations are temporary and will not pose a serious threat to the power grid. Based on this judgment, the setting of the relay protection needs to be adjusted to avoid overreaction. Increasing the setting value of the relay protection can ensure that too frequent protection actions are not triggered when the power data fluctuates slightly, thereby avoiding power outages and reducing interference and inconvenience to users. By calibrating the setting value of the relay protection, the system can respond to power fluctuations in different situations more intelligently, ensuring timely response when a real fault occurs, and not overprotecting in the case of non-fault fluctuations, ensuring the stability and efficient operation of the power system.

[0089] On the other hand, when the evaluation coefficient is not less than the preset evaluation coefficient threshold, it indicates that the fluctuation of power data has a strong abnormality, which may be caused by power failure or other system problems. In this case, the fluctuation beyond the threshold has a certain risk and may have a negative impact on the stability of power equipment and systems. Therefore, there is no need to increase the set value of the relay protection setting, but the existing protection strategy should continue to be maintained and relay protection measures should be implemented. In this scenario, the relay protection system should respond quickly to prevent the fault from spreading or causing a wider range of power problems by cutting off the relevant power lines or equipment. This method can ensure that the power system can cut off the power supply in a timely and effective manner when facing potential faults, avoid further equipment damage or safety hazards, and thus ensure the safety and reliability of the power system.

[0090] Based on the same inventive concept, the embodiment of the present invention also provides an intelligent calibration system for relay protection setting information. Figure 2 , Figure 2 A framework diagram of an intelligent calibration system for relay protection setting information provided by an embodiment of the present invention, the system comprising:

[0091] Amplitude instability module: when the power data exceeds the corresponding preset threshold, the amplitude of the power data exceeding the corresponding preset threshold within the preset time period is obtained, and the amplitude instability coefficient is calculated according to the amplitude of the power data exceeding the corresponding preset threshold;

[0092] Upward trend module: obtains the actual value of power data within a preset time period, and calculates the upward trend coefficient based on the actual value of power data;

[0093] Waveform anomaly module: obtains the current value within a preset time period and calculates the waveform anomaly coefficient based on the current value;

[0094] Calibration module: obtain the evaluation coefficient according to the amplitude instability coefficient, the rising trend coefficient and the waveform anomaly coefficient, compare the evaluation coefficient with the preset evaluation coefficient threshold, and judge whether it is necessary to increase the constant value of the relay protection setting according to the comparison result.

[0095] Based on the intelligent calibration system for relay protection setting constant information provided by the embodiment of the present invention, when power data such as voltage and current rise and exceed preset thresholds, it can be determined whether the voltage and current and other power data exceeding the preset thresholds are caused by power failures or are just normal fluctuations in electricity demand. The relay protection setting constants can be intelligently calibrated to reduce unnecessary power interruptions and ensure convenient electricity use.

[0096] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be used to artificially limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. An intelligent calibration method for relay protection setting information, characterized in that: The following steps are involved: When the power data exceeds the corresponding preset threshold, the amplitude of the power data exceeding the corresponding preset threshold within the preset time period is obtained, and the amplitude instability coefficient is calculated according to the amplitude of the power data exceeding the corresponding preset threshold; Obtaining actual values ​​of power data within a preset time period, and calculating an upward trend coefficient based on the actual values ​​of the power data; Obtaining the current value within a preset time period, and calculating the waveform abnormality coefficient according to the current value; An evaluation coefficient is obtained based on the amplitude instability coefficient, the rising trend coefficient and the waveform anomaly coefficient. The evaluation coefficient is compared with a preset evaluation coefficient threshold, and it is determined whether the set value of the relay protection needs to be increased based on the comparison result.

2. The intelligent calibration method for relay protection setting value information according to claim 1 is characterized in that: Obtaining the amplitude of the power data within the preset time period exceeding the corresponding preset threshold, and calculating the amplitude instability coefficient includes: Obtaining the amplitude of the power data in a preset time period exceeding the corresponding preset threshold value, and obtaining an amplitude sequence based on time sequence; The amplitude in the amplitude sequence is marked as Q w , w represents the order number of the amplitude in the amplitude sequence, w=1, 2, 3, 4, ..., u, u is the total amplitude in the amplitude sequence, and u is a positive integer; Compute the mean of the magnitude series The calculation formula is: The standard deviation σ of the amplitude series is calculated as: Calculate the amplitude instability coefficient, the calculation formula is: Where Dsx is the amplitude instability coefficient.

3. The intelligent calibration method for relay protection setting value information according to claim 1 is characterized in that: Obtaining the actual value of the power data within a preset time period and calculating the rising trend coefficient according to the actual value of the power data includes: Obtaining the actual value of the power data within a preset time period to obtain a time-based point power value sequence; Compare each two adjacent power values ​​in the power value sequence. If the latter power value is less than the former power value, the trend between the two adjacent power values ​​is recorded as a downward trend; if the latter power value is not less than the former power value, the trend between the two adjacent power values ​​is recorded as an upward trend. Add the number corresponding to the upward trend and the number corresponding to the downward trend to get the total number of trends; Divide the number corresponding to the upward trend by the total number of trends to obtain the upward trend coefficient.

4. The intelligent calibration method for relay protection setting value information according to claim 1 is characterized in that: Obtaining the current value within a preset time period and calculating the waveform abnormality coefficient based on the current value includes: Obtain the current value within the preset time period and represent the current value as x(t), x(t)={x(t1), x(t2), x(t3).....x(t N )}, where x(t N ) is at time t N The current value collected; and N is the total number of current values ​​collected; Use Fast Fourier Transform (FFT) to convert the time domain signal x(t) into the frequency domain signal X(f), the expression is: Where X(f) is the frequency domain signal, f is the frequency, j is the imaginary unit, and t n For time point, Extract the fundamental wave and harmonic components from X(f): Fundamental wave V1: The amplitude of the frequency f1, usually the main component of the signal; mth harmonic V m : The amplitude of the frequency m·f1, where m=2, 3.....; The energy content of the harmonic components in the quantified signal relative to the fundamental wave is used to obtain the harmonic distortion rate THD, which is calculated as follows: The harmonic distortion rate THD is used as the waveform abnormality coefficient.

5. The intelligent calibration method for relay protection setting value information according to claim 1 is characterized in that: The evaluation coefficients obtained based on the amplitude instability coefficient, the rising trend coefficient and the waveform anomaly coefficient include: Where, ERT is the evaluation coefficient, Dsx, ED and TG are the amplitude instability coefficient, rising trend coefficient and waveform anomaly coefficient respectively, a1, a2, a3 are the preset proportional coefficients of Dsx, ED and TG respectively, and a1, a2, a3 are all greater than 0.

6. The intelligent calibration method for relay protection setting value information according to claim 1 is characterized in that: Compare the evaluation coefficient with the preset evaluation coefficient threshold, and judge whether it is necessary to increase the setting value of the relay protection according to the comparison result, including: If the evaluation coefficient is less than the preset evaluation coefficient threshold, it is necessary to increase the set value of the relay protection setting and calibrate the set value of the relay protection setting; If the evaluation coefficient is not less than the preset evaluation coefficient threshold, there is no need to increase the set value of the relay protection setting, there is no need to calibrate the set value of the relay protection setting, and at this time the relay protection setting is power-off protection.

7. An intelligent calibration system for relay protection setting fixed value information, used to implement the intelligent calibration method for relay protection setting fixed value information according to any one of claims 1 to 6, characterized in that: The system comprises: Amplitude instability module: when the power data exceeds the corresponding preset threshold, the amplitude of the power data exceeding the corresponding preset threshold within the preset time period is obtained, and the amplitude instability coefficient is calculated according to the amplitude of the power data exceeding the corresponding preset threshold; Upward trend module: obtains the actual value of power data within a preset time period, and calculates the upward trend coefficient based on the actual value of power data; Waveform anomaly module: obtains the current value within a preset time period and calculates the waveform anomaly coefficient based on the current value; Calibration module: obtain the evaluation coefficient according to the amplitude instability coefficient, the rising trend coefficient and the waveform anomaly coefficient, compare the evaluation coefficient with the preset evaluation coefficient threshold, and judge whether it is necessary to increase the constant value of the relay protection setting according to the comparison result.