Feeder automation terminal with circuit breaker operation state telemetering function

Abstract

The invention relates to the technical field of remote control or regulation and control, in particular to a feeder automation terminal with a circuit breaker operation state telemetering function, which comprises a first acquisition module used for acquiring current current data and a historical current data sequence; the second acquisition module is used for obtaining a characteristic ratio at the current monitoring moment according to the spectrogram to be analyzed, and obtaining a non-fundamental wave content change characterization value at the current monitoring moment according to the characteristic ratio at the current monitoring moment and the characteristic ratio at the neighbor historical monitoring moment; the third acquisition module is used for obtaining a target abnormal characterization value according to the non-fundamental wave content change characterization value sequence, the characteristic ratio at the current monitoring moment and the non-fundamental wave content change characterization value; and the control module is used for the feeder automation terminal to remotely control the circuit breaker according to the target abnormal characterization value. According to the invention, the accuracy of controlling the circuit breaker by the feeder automation terminal can be improved.

Description

Technical Field

[0001] The invention relates to the technical field of remote control or regulation, and in particular to a feeder automation terminal with a circuit breaker operating state telemetry function. Background Art

[0002] Since the feeder automation terminal with circuit breaker operation status telemetry function has circuit breaker status telemetry, data acquisition and processing, remote control and protection functions, the feeder automation terminal with circuit breaker operation status telemetry function is currently widely used in application scenarios such as urban distribution networks, industrial parks and renewable energy power stations. That is, the feeder automation terminal with circuit breaker operation status telemetry function is crucial for the protection of the power grid and the electrical equipment connected to the power grid.

[0003] In the prior art, the feeder automation terminal generally compares the current data of the power grid to which the circuit breaker is connected based on the real-time current data received by the feeder automation terminal with the set current threshold value, and based on the comparison result, the feeder automation terminal remotely controls the circuit breaker to achieve the purpose of protecting the power grid and the electrical equipment connected to the power grid. If the current data received by the feeder automation terminal is greater than the set current threshold value, the feeder automation terminal will control the circuit breaker to enter the circuit breaker protection state through remote control. However, during the operation of the power grid, the number and type of equipment used in the power grid will increase. The increase in the number and type of equipment used in the power grid may lead to the existence of current information of other frequencies in the power grid, and these current information of other frequencies will affect the use of electrical equipment connected to the power grid. It may have a random impact on the current size and current frequency in the power grid. For example, when it is monitored that the current data received by the feeder automation terminal at a certain moment is greater than the set current threshold, it may not be the power grid or the power-consuming equipment connected to the power grid that has an abnormal operation, but it may be the increase in the number and type of equipment used in the power grid, which causes the current data received by the feeder automation terminal to be greater than the set current threshold. However, in this case, the feeder automation terminal will also control the circuit breaker to enter the circuit breaker protection state through remote control, resulting in the circuit breaker malfunctioning or the feeder automation terminal cannot accurately control the circuit breaker, which will affect the working performance and efficiency of the feeder automation terminal in the process of monitoring the power grid operation.

[0004] Therefore, improving the accuracy of feeder automation terminals in controlling circuit breakers is an urgent problem to be solved. Summary of the invention

[0005] In order to solve the above problems, the present invention provides a feeder automation terminal with a circuit breaker operation status telemetry function, and the technical solution adopted is as follows: An embodiment of the present invention provides a feeder automation terminal with a circuit breaker operation status telemetry function, and the feeder automation terminal with a circuit breaker operation status telemetry function includes: A first acquisition module is used to acquire current current data at a current monitoring moment and a historical current data sequence corresponding to a historical monitoring time period adjacent to the current monitoring moment, wherein the current data is current data received by a feeder automation terminal in a power grid; A second acquisition module is used to obtain the frequency spectrum to be analyzed at the current monitoring moment according to the current current data and the historical current data sequence; obtain the characteristic ratio at the current monitoring moment according to the frequency spectrum to be analyzed; obtain the characteristic ratio at each neighboring historical monitoring moment in the neighboring historical monitoring time period, and obtain the non-fundamental content change characterization value at the current monitoring moment according to the characteristic ratio at the current monitoring moment and the characteristic ratio at the neighboring historical monitoring moment; A third acquisition module is used to acquire a sequence of non-fundamental wave content change characterization values, and obtain a target abnormality characterization value at the current monitoring moment according to the sequence of non-fundamental wave content change characterization values, the characteristic ratio at the current monitoring moment, and the non-fundamental wave content change characterization value at the current monitoring moment; A control module, a feeder automation terminal in the power grid remotely controls the circuit breaker in the power grid according to the target abnormality characterization value.

[0006] Beneficial effect: The present invention provides a feeder automation terminal with a circuit breaker operating status telemetry function, comprising a first acquisition module for acquiring current current data at a current monitoring moment and a historical current data sequence corresponding to a neighboring historical monitoring time period of the current monitoring moment, wherein the current data is the current data received by the feeder automation terminal in the power grid; a second acquisition module for acquiring a frequency spectrum to be analyzed at the current monitoring moment based on the current current data and the historical current data sequence; obtaining a characteristic ratio at the current monitoring moment based on the frequency spectrum to be analyzed; and obtaining each characteristic ratio in the neighboring historical monitoring time period. The characteristic ratios at the nearest historical monitoring moments are used to obtain the non-fundamental content change characterization value at the current monitoring moment according to the characteristic ratios at the current monitoring moment and the characteristic ratios at the nearest historical monitoring moments; the third acquisition module is used to obtain the non-fundamental content change characterization value sequence, and obtain the target abnormal characterization value at the current monitoring moment according to the non-fundamental content change characterization value sequence, the characteristic ratios at the current monitoring moment and the non-fundamental content change characterization value at the current monitoring moment; the control module, the feeder automation terminal in the power grid remotely controls the circuit breaker in the power grid according to the target abnormal characterization value. Among them, the present invention can enable the feeder automation terminal to accurately remotely control the circuit breaker in the power grid or improve the accuracy of the feeder automation terminal when controlling the circuit breaker in the power grid based on the target abnormal characterization value at the current monitoring moment, so as to make the feeder automation terminal have higher working performance and efficiency in the process of monitoring the operation of the power grid or achieve the purpose of timely protection of the power grid and its power-consuming equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0008] Figure 1 The present invention is a structural block diagram of a feeder automation terminal with a circuit breaker operating status telemetry function. DETAILED DESCRIPTION

[0009] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of the embodiments of the present invention.

[0010] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0011] like Figure 1 As shown, this embodiment provides a feeder automation terminal with a circuit breaker operation status telemetry function, including: The first acquisition module 01 is used to acquire current current data at a current monitoring moment and a historical current data sequence corresponding to a historical monitoring time period adjacent to the current monitoring moment, wherein the current data is current data received by a feeder automation terminal in a power grid.

[0012] The main purpose of this embodiment is to improve the accuracy of the feeder automation terminal when remotely controlling the circuit breaker, or this embodiment is mainly to improve the accuracy of the feeder automation terminal when telemetering the circuit breaker state, and improving the accuracy of the feeder automation terminal when remotely controlling the circuit breaker or improving the accuracy of telemetering the circuit breaker state is also to avoid the circuit breaker from malfunctioning as much as possible, so that the feeder automation terminal can have higher working performance and efficiency in the process of monitoring the operation of the power grid or achieve the purpose of timely protection of the power grid and its power-consuming equipment.

[0013] In addition, for ease of understanding, this embodiment will subsequently be analyzed based on any circuit breaker remotely monitored and controlled by any feeder automation terminal in the power grid, that is, the current data obtained in this embodiment are all current data collected in the power grid to which the circuit breaker is connected, and all feeder automation terminals appearing in this embodiment refer to the same feeder automation terminal, and all circuit breakers appearing refer to the same circuit breaker.

[0014] In this embodiment, the current data received by the feeder automation terminal in the power grid at the current monitoring time is first obtained and recorded as the current current data at the current monitoring time; then the neighbor historical monitoring time period of the current monitoring time is obtained, and the current data received by the feeder automation terminal in the power grid at each neighbor historical monitoring time in the neighbor historical monitoring time period is obtained, and then the current data received at all neighbor historical monitoring times are sorted in order of receiving time, and the sorted sequence is recorded as the historical current data sequence corresponding to the neighbor historical monitoring time period of the current monitoring time, and the data received by the feeder automation terminal refers to the current data of the power grid connected to the circuit breaker.

[0015] In specific applications, the implementer needs to set the neighboring historical monitoring time period of the current monitoring moment according to the actual situation. For example, in this embodiment, the previous 1 minute closest to the current monitoring moment is used as the neighboring historical monitoring time period of the current monitoring moment, that is, the neighboring historical monitoring time period of the current monitoring moment is adjacent to the current moment; and in this embodiment, the implementer also needs to set the time interval between adjacent monitoring moments according to the actual situation. For example, in this embodiment, the time interval between adjacent monitoring moments can be set to 1 second.

[0016] In addition, the specific process of the feeder automation terminal in the power grid receiving current data is as follows: the data acquisition module arranged inside the circuit breaker can collect the current data in the power grid to which the circuit breaker is connected, and then the communication module integrated inside the circuit breaker will transmit the collected data to the feeder automation terminal, and the communication module arranged inside the feeder automation terminal will receive the transmitted current data; in addition, after receiving the data, the feeder automation terminal will monitor and analyze it through its internal data analysis module, and control the circuit breaker based on the results of the monitoring and analysis; and usually, when it is monitored or determined that there is a current in the power grid to which the circuit breaker is connected, In the event of abnormal operation, the feeder automation terminal will send control information to the corresponding circuit breaker through the data communication module. After the circuit breaker receives the command data issued by the feeder automation terminal through the built-in communication module, it will control the circuit breaker through the control module inside the circuit breaker, such as executing the command to disconnect the power supply, thereby protecting the circuits or various electrical equipment in the power grid. This embodiment mainly optimizes the process of monitoring and analyzing the data analysis module to avoid the feeder automation terminal from issuing erroneous control instructions as much as possible, so as to improve the accuracy of the feeder automation terminal in controlling the circuit breaker.

[0017] The second acquisition module 02 is used to obtain the frequency spectrum to be analyzed at the current monitoring moment based on the current current data and the historical current data sequence; obtain the characteristic ratio at the current monitoring moment based on the frequency spectrum to be analyzed; obtain the characteristic ratio at each neighboring historical monitoring moment in the neighboring historical monitoring time period, and obtain the non-fundamental content change characterization value at the current monitoring moment based on the characteristic ratio at the current monitoring moment and the characteristic ratio at the neighboring historical monitoring moment.

[0018] During the operation or use of the power grid, the number and type of devices used may increase, which may lead to the existence of current information of other frequencies in the power grid, and these current information of other frequencies may affect the use of the electrical equipment connected to the power grid, or may cause random effects on the current size and current frequency in the power grid. For example, when it is monitored that the current data received by the feeder automation terminal at a certain moment is greater than the set current threshold, it may not be that the power grid or the electrical equipment connected to the power grid has an abnormal operation, but it may be that the number and type of devices used in the power grid at that moment increase, resulting in the current data received by the feeder automation terminal at that moment being greater than the current threshold. However, in this case, the feeder automation terminal will also control the circuit breaker to enter the circuit breaker protection state through remote control, thereby causing the circuit breaker to malfunction or the feeder automation terminal to be unable to accurately control the circuit breaker, which will affect the feeder. The working performance and efficiency of the automation terminal in the process of monitoring the operation of the power grid; and in order to avoid the problem that the feeder automation terminal cannot accurately control the circuit breaker due to the increase in the number and types of equipment used in the power grid, this embodiment will subsequently determine the target abnormal characterization value by analyzing the non-fundamental wave component, and based on the target abnormal characterization value, the accuracy of the feeder automation terminal in controlling the circuit breaker can be improved, because when the power grid or the electrical equipment connected to the power grid has an operation abnormality, the content and change of the non-fundamental wave component will be abnormal, that is, when the content and change of the non-fundamental wave component are abnormal, it will have a certain impact on the stability of the operation of the power grid and the electrical equipment connected to the power grid, and in severe cases may also cause damage to the electrical equipment, etc., so this embodiment can reflect whether the power grid or the electrical equipment connected to the power grid has an operation abnormality by analyzing the non-fundamental wave component, and improve the accuracy of the feeder automation terminal in controlling the circuit breaker based on the analysis result, and the non-fundamental wave refers to the harmonic frequency and the interharmonic frequency.

[0019] Therefore, based on the above analysis, it can be seen that the present embodiment will subsequently achieve the purpose of improving the feeder automation terminal's accurate control of the circuit breaker based on the target abnormal characterization value, and before obtaining the target abnormal characterization value, the present embodiment needs to first obtain the characteristic ratio at the current monitoring moment, and the characteristic ratio represents the ratio between the non-fundamental content and the fundamental content, that is, the characteristic ratio can reflect the difference between the non-fundamental content and the fundamental content, and then the non-fundamental content change characterization value at the current monitoring moment is determined by analyzing the obtained characteristic ratio, and finally the target abnormal characterization value at the current monitoring moment is determined based on the obtained characteristic ratio and non-fundamental content change characterization value at the current monitoring moment, that is, the target abnormal characterization value at the current monitoring moment is determined by the characteristic ratio and non-fundamental content change characterization value at the current monitoring moment, and the target abnormal characterization value is the basis for the feeder automation terminal to remotely control the circuit breaker at the current monitoring moment; it can be seen that the present embodiment needs to first obtain the characteristic ratio at the current monitoring moment, and the specific process of obtaining is: First, according to the current current data at the current monitoring moment and the historical current data sequence corresponding to the neighboring historical monitoring time period at the current monitoring moment, the spectrum graph to be analyzed at the current monitoring moment is obtained; and the specific acquisition process of the spectrum graph to be analyzed is: The historical current data sequence and the current current data are reordered in the order of the receiving time of the feeder automation terminal to obtain a new sequence after the reordering; then a mapping space is constructed, and the horizontal coordinate of the mapping space is time and the vertical coordinate is current data; then each current data in the new sequence is mapped to the mapping space to obtain all data points in the mapping space, and the data points in the mapping space are connected in turn, and the connected image is recorded as a time domain image, that is, the connection is carried out in order from small to large in the horizontal coordinate; and the current data in the new sequence can determine a data point after mapping, and the vertical coordinate of the data point is the current data, The horizontal axis is the time when the corresponding current data is received by the feeder automation terminal. For example, the vertical axis of the data point obtained after the current current data is mapped is the current current data, and the horizontal axis is the time corresponding to the current monitoring moment, that is, the current monitoring moment is the time when the current current data is received by the feeder automation terminal; then the acquired time domain image is Fourier transformed, and the time domain image after Fourier transform is recorded as the spectrum diagram to be analyzed at the current monitoring moment, and the horizontal axis of the spectrum diagram to be analyzed is the frequency, and the vertical axis is the amplitude; and since the process of obtaining the spectrum diagram by Fourier transforming the time domain image is a well-known technology, it will not be described in detail in this embodiment.

[0020] After obtaining the spectrum graph to be analyzed, the characteristic ratio at the current monitoring time is obtained according to the spectrum graph to be analyzed at the current monitoring time. In this embodiment, the specific process of obtaining the characteristic ratio at the current monitoring time is as follows: First, the fundamental frequency of the power grid is obtained. The fundamental frequency is the main frequency component of the voltage or current waveform in the power grid, that is, the fundamental frequency is the main frequency component in the power system. All electrical equipment and systems are designed and operated with the fundamental frequency as the reference frequency. And depending on the country, the fundamental frequency of the power grid is usually divided into 50 Hz or 60 Hz. For example, the fundamental frequency of the power grid in some countries is generally specified as 50 Hz.

[0021] In addition, the harmonic frequencies mentioned above are integer multiples of the fundamental frequency and are not equal to the fundamental frequency. For example, if the fundamental frequency is 50 Hz, then 100 Hz (2nd harmonic) and 150 Hz (3rd harmonic) in the spectrum diagram are all harmonic frequencies, and harmonic frequencies are usually caused by nonlinear loads (such as computers, inverters, power electronic equipment), which will generate additional frequency components beyond the fundamental frequency; the interharmonic frequencies mentioned above are not only not equal to the fundamental frequency, but also not integer multiples of the fundamental frequency, and the interharmonic frequencies may also have a negative impact on the stability of the power grid and the operation of electrical equipment, especially in high-power applications and precision equipment.

[0022] Then, in the spectrum graph to be analyzed, all frequencies that are different from the fundamental frequency and whose amplitudes are not 0 are obtained, and are all recorded as non-fundamental frequencies. Then, the set constructed by all non-fundamental frequencies in the spectrum graph to be analyzed is recorded as the non-fundamental frequency set. Next, in the spectrum graph to be analyzed, the amplitude corresponding to each frequency in the non-fundamental frequency set is obtained, and the cumulative sum of the amplitudes corresponding to all frequencies in the non-fundamental frequency set is recorded as the comprehensive amplitude. Then, the product of the total number of non-fundamental frequencies in the non-fundamental frequency set and the comprehensive amplitude is recorded as the non-fundamental content characteristic value at the current monitoring moment.

[0023] Then, in the spectrum diagram to be analyzed, the amplitude corresponding to the frequency that is the same as the fundamental frequency is obtained, and recorded as the fundamental content characteristic value at the current monitoring time, and then the fundamental content characteristic value at the current monitoring time is added to the preset first constant, and the value obtained by the addition is recorded as the first characteristic value, and then the ratio of the non-fundamental content characteristic value at the current monitoring time to the first characteristic value is calculated, and recorded as the characteristic ratio at the current monitoring time; and the specific expression for obtaining the characteristic ratio at the current monitoring time in this embodiment is:

[0024]

[0025] Among them, S is the characteristic ratio at the current monitoring time, T is the characteristic value of the non-fundamental content at the current monitoring time, M is the total number of non-fundamental frequencies in the non-fundamental frequency set, is the amplitude corresponding to the mth non-fundamental frequency in the non-fundamental frequency set in the spectrum to be analyzed, F0 is the amplitude corresponding to the frequency that is the same as the fundamental frequency in the spectrum to be analyzed, and c is a preset first constant; and in specific applications, the implementer needs to set the value of the preset first constant according to actual conditions. For example, in this embodiment, the preset first constant can be set to 0.01, and the preset first constant is set to avoid the denominator being 0.

[0026] And when the value of T is larger and the value of F0 is smaller, it indicates that the value of S is larger, and the larger the value of S, the more non-fundamental wave content at the current monitoring time. Conversely, when the value of T is smaller and the value of F0 is larger, it indicates that the value of S is smaller, and the smaller the value of S, the more fundamental wave content at the current monitoring time, that is, S can reflect the relationship between non-fundamental wave content and fundamental wave content; and because when the non-fundamental wave content changes abnormally, it is more likely to affect the normal operation of the power grid or the normal operation of the electrical equipment connected to the power grid, that is, the possibility of abnormal operation of the power grid or abnormal operation of the electrical equipment is greater, so this embodiment subsequently further analyzes the characteristic ratio to control the circuit breaker more accurately.

[0027] In addition, when M and The larger the value of is, the larger the value of T is. The larger the value of T is, the more non-fundamental content there may be in the power grid at the current moment, or the larger the proportion of non-fundamental signals in the new sequence corresponding to the current moment is. On the contrary, when M is The smaller the value of is, the smaller the value of T is. The smaller the value of T is, the less non-fundamental content in the power grid may be at the current moment, or the smaller the proportion of non-fundamental signals in the new sequence corresponding to the current moment is.

[0028] Therefore, this embodiment has obtained the characteristic ratio at the current monitoring moment through the above process. Next, the change of the non-fundamental wave content will be analyzed by analyzing the characteristic ratio, that is, the non-fundamental wave content change characterization value at the current monitoring moment is determined by analyzing the characteristic ratio, and the specific acquisition process of the non-fundamental wave content change characterization value is: First, the characteristic ratios of each neighboring historical monitoring moment in the neighboring historical monitoring time period of the current monitoring moment are obtained, and the method for obtaining the characteristic ratios of the neighboring historical monitoring moments is the same as the above-mentioned method for obtaining the characteristic ratios of the current monitoring moment, so this embodiment will not be described in detail.

[0029] Then, according to the characteristic ratio at the current monitoring moment and the characteristic ratio at the neighboring historical monitoring moment, the non-fundamental content change characterization value at the current monitoring moment is obtained, and the specific process of obtaining the non-fundamental content change characterization value at the current monitoring moment according to the characteristic ratio at the current monitoring moment and the characteristic ratio at the neighboring historical monitoring moment is: sort the characteristic ratios at all neighboring historical monitoring moments and the characteristic ratios at the current monitoring moment in chronological order, and record the sequence after sorting as the characteristic ratio sequence, that is, the last characteristic ratio value in the characteristic ratio sequence is the characteristic ratio at the current monitoring moment, the vth characteristic ratio value in the characteristic ratio sequence is the characteristic ratio value at the vth historical monitoring moment in the neighboring historical monitoring time period, and v is not equal to the total number of characteristic ratios in the characteristic ratio sequence; then, according to the two adjacent characteristic ratios in the obtained characteristic ratio sequence, the first indicator value sequence is obtained, and the i-th first indicator value in the first indicator value sequence in this embodiment is and The ratio of is the i+1th characteristic ratio in the characteristic ratio sequence, is the i-th characteristic ratio in the characteristic ratio sequence.

[0030] Then, according to the first indicator value sequence, a first difference sequence is obtained, and the i-th first difference value in the first difference sequence is the absolute value of the difference between the i-th first indicator value in the first indicator value sequence and the preset second constant; then the mean of all the first differences in the first difference sequence is obtained, and recorded as the non-fundamental content change characterization value at the current monitoring moment; and in specific applications, the implementer needs to set the preset second constant according to the actual situation, such as the preset second constant is set to constant 1 in this embodiment; in addition, the specific expression for obtaining the non-fundamental content change characterization value at the current monitoring moment in this embodiment is:

[0031] in, is the non-fundamental content change characterization value at the current monitoring moment, N is the total number of first difference values ​​in the first difference value sequence, is the i-th first difference in the first difference sequence; in addition, , is the i-th first index value in the first index value sequence.

[0032] And when the power consumption in the power grid changes normally, that is, when the power grid operates normally or the power-consuming equipment operates normally, the characteristic ratio sequence will fluctuate within a smaller range, but when the non-fundamental wave changes and its content is abnormal, it means that the voltage in the current power grid may be subject to a greater impact, which may affect the normal operation of the power grid or the power-consuming equipment connected to the power grid, that is, it may cause the power grid to operate abnormally or the power-consuming equipment to operate abnormally. In this case, it may be necessary to control the circuit breaker to disconnect the power supply to protect the circuit; and the K value calculated above can characterize the change of the non-fundamental wave content at the current monitoring moment, so the subsequent characterization value based on the obtained non-fundamental wave content change will be used as an important indicator for determining the target abnormal characterization value; in addition, when The larger the value of , the larger the value of K, and the larger the value of K, the greater the change in the non-fundamental wave content at the current monitoring moment.

[0033] Therefore, this embodiment obtains the non-fundamental wave content change characterization value at the current monitoring moment through the above process.

[0034] The third acquisition module 03 is used to obtain a sequence of non-fundamental wave content change characterization values, and obtain a target abnormality characterization value at the current monitoring moment based on the sequence of non-fundamental wave content change characterization values, the characteristic ratio at the current monitoring moment, and the non-fundamental wave content change characterization value at the current monitoring moment.

[0035] Next, this embodiment will obtain a non-fundamental wave content change characterization value sequence, which is mainly used to determine the target abnormal characterization value, and the process of obtaining the non-fundamental wave content change characterization value sequence is: First, obtain the non-fundamental wave content change characterization value at each historical monitoring moment to be analyzed in the historical monitoring time period to be analyzed, and record them as the characterization values ​​to be sorted, and the historical monitoring time period to be analyzed includes the neighboring historical monitoring time period of the current monitoring moment; in addition, the method for obtaining the non-fundamental wave content change characterization value at the historical monitoring moment to be analyzed is the same as the method for obtaining the non-fundamental wave content change characterization value at the current monitoring moment, so this embodiment will not be described in detail.

[0036] In this embodiment, the implementer needs to set the historical monitoring time period to be analyzed according to the actual situation. For example, this embodiment uses the day before the current monitoring moment as the historical monitoring time period to be analyzed. Similarly, this embodiment requires the time interval between adjacent historical monitoring moments to be analyzed to be consistent with the time interval between adjacent monitoring moments set above.

[0037] Then, all the characterization values ​​to be sorted are sorted in ascending order, and the sorted sequence is recorded as the non-fundamental content change characterization value sequence.

[0038] After obtaining the non-fundamental content change characterization value sequence, the present embodiment will then obtain the target abnormal characterization value at the current monitoring moment according to the non-fundamental content change characterization value sequence, the characteristic ratio at the current monitoring moment, and the non-fundamental content change characterization value at the current monitoring moment, and the specific process of obtaining the target abnormal characterization value at the current monitoring moment is: First, according to the non-fundamental wave content change characterization value sequence, a benchmark characterization value is obtained, and the specific process of obtaining the benchmark characterization value is: using an iterative self-organizing clustering algorithm to cluster the non-fundamental wave content change characterization values ​​in the non-fundamental wave content change characterization value sequence to obtain each cluster cluster, and then obtaining the characteristic mean corresponding to each cluster cluster, selecting the smallest characteristic mean as the benchmark characterization value, and the characteristic mean corresponding to the cluster cluster is the mean of all non-fundamental wave content change characterization values ​​in the corresponding cluster cluster, and the benchmark characterization value is a normal non-fundamental wave content change characterization value; in addition, the process of clustering using an iterative self-organizing clustering algorithm is a well-known technology, so this embodiment will not be described in detail. Then, the value obtained by multiplying the non-fundamental content change characterization value at the current monitoring time by the characteristic ratio at the current monitoring time and then dividing it by the reference characterization value is recorded as the non-fundamental information abnormal value at the current monitoring time, that is, the calculation formula of the non-fundamental information abnormal value is:

[0039] Among them, Y is the abnormal value of non-fundamental wave information at the current monitoring moment, and K0 is the benchmark characterization value; in addition, when the values ​​of S and K are larger and the K0 is smaller, it indicates that the value of Y is larger, and the larger the value of Y is, the more abnormal the change of non-fundamental wave content at the current monitoring moment is, and the greater the probability that the power grid or the electrical equipment connected to the power grid will have abnormal operation at this time. On the contrary, when the value of Y is smaller, it indicates that the change of non-fundamental wave content at the current monitoring moment is more normal, and the probability that the power grid or the electrical equipment connected to the power grid will have abnormal operation at this time is smaller.

[0040] Next, the non-fundamental information anomaly value at the current monitoring moment is multiplied by the current current data, and the multiplied value is normalized. The value obtained after the normalization is then recorded as the target abnormality characterization value at the current monitoring moment. This embodiment uses the normalization function sigmoid() to perform the normalization.

[0041] Therefore, this embodiment obtains the target abnormality characterization value at the current monitoring moment through the above process, and the larger the target abnormality characterization value is, the greater the probability that the power grid or the electrical equipment connected to the power grid at the current monitoring moment will have an operating abnormality, or the greater the probability that the current in the power grid will have an abnormality. Conversely, the smaller the probability that the power grid or the electrical equipment connected to the power grid at the current monitoring moment will have an operating abnormality, or the smaller the probability that the current in the power grid will have an abnormality.

[0042] Control module 04, the feeder automation terminal in the power grid remotely controls the circuit breaker in the power grid according to the target abnormality characterization value.

[0043] Then, the preset judgment threshold is obtained, and it is determined whether the current monitoring value is greater than the preset judgment threshold. If so, it is determined that the power grid or the electrical equipment connected to the power grid has an abnormal operation. At this time, the feeder automation terminal needs to send a power disconnection instruction to the circuit breaker in the power grid through its built-in communication module, and then the circuit breaker receives the instruction information sent by the feeder automation terminal through its built-in receiving module, and performs corresponding operations, so as to timely protect the power grid and its equipment; and if it is determined that the current monitoring value is not greater than the preset judgment threshold, it is determined that the power grid or the electrical equipment connected to the power grid has no abnormal operation, so at this time the feeder automation terminal does not need to send a power disconnection instruction to the circuit breaker in the power grid, that is, it is determined that the power grid continues to operate.

[0044] In a specific application, the implementer needs to set the preset judgment threshold according to the actual situation. For example, in this embodiment, the preset judgment threshold is set to 0.7.

[0045] In summary, this embodiment provides a feeder automation terminal with a circuit breaker operating status telemetry function, including a first acquisition module, used to obtain current current data at a current monitoring moment and a historical current data sequence corresponding to a neighboring historical monitoring time period of the current monitoring moment, wherein the current data is the current data received by the feeder automation terminal in the power grid; a second acquisition module, used to obtain a frequency spectrum to be analyzed at the current monitoring moment according to the current current data and the historical current data sequence; obtain a characteristic ratio at the current monitoring moment according to the frequency spectrum to be analyzed; obtain the characteristic ratio in the neighboring historical monitoring time period; The characteristic ratios at each neighboring historical monitoring moment, according to the characteristic ratios at the current monitoring moment and the characteristic ratios at the neighboring historical monitoring moment, obtain the non-fundamental content change characterization value at the current monitoring moment; the third acquisition module is used to obtain the non-fundamental content change characterization value sequence, according to the non-fundamental content change characterization value sequence, the characteristic ratios at the current monitoring moment and the non-fundamental content change characterization value at the current monitoring moment, obtain the target abnormal characterization value at the current monitoring moment; the control module, the feeder automation terminal in the power grid remotely controls the circuit breaker in the power grid according to the target abnormal characterization value. Among them, this embodiment can enable the feeder automation terminal to accurately remotely control the circuit breaker in the power grid or improve the accuracy of the feeder automation terminal when controlling the circuit breaker in the power grid based on the target abnormal characterization value at the current monitoring moment, so that the feeder automation terminal can also have higher working performance and efficiency in the process of monitoring the operation of the power grid or achieve the purpose of timely protection of the power grid and its power-consuming equipment.

[0046] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A feeder automation terminal with circuit breaker operation status telemetry function, characterized in that: The feeder automation terminal with the circuit breaker operation status telemetry function includes: A first acquisition module is used to acquire current current data at a current monitoring moment and a historical current data sequence corresponding to a historical monitoring time period adjacent to the current monitoring moment, wherein the current data is current data received by a feeder automation terminal in a power grid; A second acquisition module is used to obtain the frequency spectrum to be analyzed at the current monitoring moment according to the current current data and the historical current data sequence; obtain the characteristic ratio at the current monitoring moment according to the frequency spectrum to be analyzed; obtain the characteristic ratio at each neighboring historical monitoring moment in the neighboring historical monitoring time period, and obtain the non-fundamental content change characterization value at the current monitoring moment according to the characteristic ratio at the current monitoring moment and the characteristic ratio at the neighboring historical monitoring moment; A third acquisition module is used to acquire a sequence of non-fundamental wave content change characterization values, and obtain a target abnormality characterization value at the current monitoring moment according to the sequence of non-fundamental wave content change characterization values, the characteristic ratio at the current monitoring moment, and the non-fundamental wave content change characterization value at the current monitoring moment; A control module, a feeder automation terminal in the power grid remotely controls the circuit breaker in the power grid according to the target abnormality characterization value.

2. A feeder automation terminal with circuit breaker operation status telemetry function as claimed in claim 1, characterized in that: The method for acquiring the spectrum graph to be analyzed at the current monitoring moment includes: Rearranging the historical current data sequence and the current current data in chronological order to obtain a new sequence; Constructing a mapping space, wherein the horizontal axis of the mapping space is time and the vertical axis is current data; mapping each current data in the new sequence to the mapping space to obtain all data points in the mapping space, and sequentially connecting the data points in the mapping space, and recording the connected image as a time domain image; The time domain image is subjected to Fourier transformation, and the time domain image after the Fourier transformation is recorded as the frequency spectrum diagram to be analyzed at the current monitoring moment.

3. A feeder automation terminal with circuit breaker operation status telemetry function as claimed in claim 1, characterized in that: The method for obtaining the characteristic ratio at the current monitoring moment includes: Obtaining the fundamental frequency of the power grid; A set of all frequencies in the spectrum to be analyzed that are different from the fundamental frequency and whose amplitudes are not 0 is recorded as a non-fundamental frequency set; In the spectrum diagram to be analyzed, the amplitude of each frequency in the non-fundamental frequency set is obtained, and the cumulative sum of the amplitudes of all frequencies in the non-fundamental frequency set is recorded as the comprehensive amplitude; the product of the total number of frequencies in the non-fundamental frequency set and the comprehensive amplitude is recorded as the non-fundamental content characteristic value at the current monitoring time; In the spectrum diagram to be analyzed, the amplitude corresponding to the frequency identical to the fundamental frequency is obtained, and recorded as the fundamental content characteristic value at the current monitoring moment; the ratio of the non-fundamental content characteristic value to the first characteristic value is recorded as the characteristic ratio at the current monitoring moment, and the first characteristic value is the value obtained by adding the fundamental content characteristic value to a preset first constant.

4. A feeder automation terminal with circuit breaker operation status telemetry function as claimed in claim 1, characterized in that: The method for obtaining the non-fundamental wave content change characterization value at the current monitoring moment includes: The characteristic ratio values ​​at each neighbor historical monitoring moment in the neighbor historical monitoring time period and the characteristic ratio value at the current monitoring moment are sorted in chronological order to obtain a characteristic ratio value sequence; According to two adjacent characteristic ratios in the characteristic ratio sequence, a first index value sequence is obtained, and the i-th first index value in the first index value sequence is and The ratio of is the i+1th characteristic ratio in the characteristic ratio sequence, is the ith characteristic ratio in the characteristic ratio sequence, and c is a preset first constant; A first difference value sequence is obtained according to the first indicator value sequence, wherein the i-th first difference value in the first difference value sequence is an absolute value of a difference between the i-th first indicator value in the first indicator value sequence and a preset second constant; The average of all first difference values ​​in the first difference value sequence is recorded as the non-fundamental wave content change characterization value at the current monitoring moment.

5. A feeder automation terminal with circuit breaker operation status telemetry function as claimed in claim 1, characterized in that: The method for obtaining a sequence of non-fundamental wave content variation characterization values ​​comprises: Obtain the non-fundamental wave content change characterization value at each historical monitoring moment to be analyzed in the historical monitoring time period to be analyzed, and record them as the characterization value to be sorted, wherein the historical monitoring time period to be analyzed includes the neighboring historical monitoring time period, and the method for obtaining the non-fundamental wave content change characterization value at the historical monitoring moment to be analyzed is the same as the method for obtaining the non-fundamental wave content change characterization value at the current monitoring moment; All the characterization values ​​to be sorted are sorted in ascending order, and the sorted sequence is recorded as a non-fundamental wave content change characterization value sequence.

6. A feeder automation terminal with circuit breaker operation status telemetry function as claimed in claim 1, characterized in that: The method for obtaining the target abnormality characterization value at the current monitoring moment includes: According to the non-fundamental content change characterization value sequence, a reference characterization value is obtained; The value obtained by multiplying the non-fundamental wave content change characterization value at the current monitoring moment by the characteristic ratio at the current monitoring moment and then dividing by the reference characterization value is recorded as the non-fundamental wave information abnormal value at the current monitoring moment; A normalized value of a value obtained by multiplying the non-fundamental wave information abnormal value by the current current data is recorded as the target abnormal characterization value at the current monitoring moment.

7. A feeder automation terminal with circuit breaker operation status telemetry function as claimed in claim 6, characterized in that: The method for obtaining the benchmark characterization value includes: The non-fundamental content change characterization value sequence is clustered by using an iterative self-organizing clustering algorithm to obtain various cluster clusters; the characteristic mean corresponding to each cluster cluster is obtained, and the smallest characteristic mean is selected as the benchmark characterization value. The characteristic mean corresponding to the cluster cluster is the mean of all non-fundamental content change characterization values ​​in the corresponding cluster cluster.

8. A feeder automation terminal with circuit breaker operation status telemetry function as claimed in claim 1, characterized in that: The method for the feeder automation terminal in the power grid to remotely control the circuit breaker in the power grid according to the target abnormal characterization value comprises: A preset judgment threshold is obtained to determine whether the target abnormality characterization value is greater than the preset judgment threshold. If so, the feeder automation terminal sends a power disconnection instruction to the circuit breaker in the power grid.

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