Feeder automation terminal with circuit breaker operating status telemetry function

Abstract

The present invention relates to the field of remote control or regulation technology, and in particular to a feeder automation terminal with a circuit breaker operating state telemetry function, the feeder automation terminal comprising a first acquisition module for acquiring current current data and a historical current data sequence; a second acquisition module for obtaining a characteristic ratio at the current monitoring moment based on a spectrum to be analyzed, and obtaining a non-fundamental wave 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 moments; a third acquisition module for obtaining a target abnormality characterization value based on the non-fundamental wave content change characterization value sequence and the characteristic ratio and non-fundamental wave content change characterization value at the current monitoring moment; and a control module, wherein the feeder automation terminal remotely controls the circuit breaker based on the target abnormality characterization value. The present invention can improve the accuracy of the feeder automation terminal in controlling the circuit breaker.

Description

Technical Field

[0001] The present 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, it 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, which is received in real time, with the set current threshold value. 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 cause random effects on information such as 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 equipment used in the power grid have increased, resulting in the current data received by the feeder automation terminal being 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, 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 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 terminal's control over 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 operating status telemetry function. The technical solutions adopted are as follows:

[0006] One embodiment of the present invention provides a feeder automation terminal with a circuit breaker operating status telemetry function, the feeder automation terminal with a circuit breaker operating status telemetry function comprising:

[0007] A first acquisition module is configured to acquire current current data at a current monitoring moment and a sequence of historical current data corresponding to a historical monitoring time period immediately preceding the current monitoring moment, wherein the current data is current data received by a feeder automation terminal in the power grid;

[0008] A second acquisition module is configured to obtain, based on the current current data and the historical current data sequence, a frequency spectrum to be analyzed at the current monitoring moment; obtain, based on the frequency spectrum to be analyzed, a characteristic ratio at the current monitoring moment; obtain the characteristic ratios at each neighboring historical monitoring moment in the neighboring historical monitoring time period, and obtain, based on the characteristic ratios at the current monitoring moment and the characteristic ratios at the neighboring historical monitoring moments, a non-fundamental content change characterization value at the current monitoring moment;

[0009] A third acquisition module 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 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;

[0010] A control module, wherein a feeder automation terminal in the power grid remotely controls a circuit breaker in the power grid according to the target abnormality characterization value.

[0011] 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; acquiring a characteristic ratio at the current monitoring moment based on the frequency spectrum to be analyzed; acquiring each characteristic ratio in the neighboring historical monitoring time period; acquiring the characteristic ratio of ... The invention is characterized in that the present invention is characterized in that the feeder automation terminal can remotely control the circuit breaker in the power grid according to the target abnormality characterization value. The invention is characterized in that the feeder automation terminal can remotely control the circuit breaker in the power grid according to the target abnormality characterization value. The invention is characterized in that the feeder automation terminal can remotely control the circuit breaker in the power grid according to the target abnormality characterization value at the current monitoring moment, or can improve the accuracy of the feeder automation terminal in controlling the circuit breaker in the power grid, thereby making the feeder automation terminal have higher working performance and efficiency in the process of monitoring the power grid operation or achieving the purpose of timely protection of the power grid and its power-consuming equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. 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 any creative work.

[0013] Figure 1 This is a structural block diagram of a feeder automation terminal with a circuit breaker operating status telemetry function according to the present invention. DETAILED DESCRIPTION

[0014] 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 fall within the scope of protection of the embodiments of the present invention.

[0015] 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 pertains.

[0016] like Figure 1 As shown, this embodiment provides a feeder automation terminal with a circuit breaker operating status telemetry function, including:

[0017] 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.

[0018] 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 remotely measuring the circuit breaker status. Improving the accuracy of the feeder automation terminal when remotely controlling the circuit breaker or improving the accuracy of the circuit breaker status is also to avoid malfunction of the circuit breaker as much as possible, thereby enabling the feeder automation terminal to have higher working performance and efficiency in the process of monitoring the operation of the power grid or achieving the purpose of timely protection of the power grid and its electrical equipment.

[0019] 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. 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.

[0020] In this embodiment, the current data received by the feeder automation terminal in the power grid at the current monitoring moment is first obtained and recorded as the current current data at the current monitoring moment; then the neighboring historical monitoring time period of the current monitoring moment is obtained, and the current data received by the feeder automation terminal in the power grid at each neighboring historical monitoring moment in the neighboring historical monitoring time period is obtained, and then the current data received at all neighboring historical monitoring moments are sorted in order of reception time, and the sorted sequence is recorded as the historical current data sequence corresponding to the neighboring historical monitoring time period of the current monitoring moment. The data received by the feeder automation terminal refers to the current data of the power grid to which the circuit breaker is connected.

[0021] In specific applications, the implementer needs to set the neighboring historical monitoring time period of the current monitoring moment according to actual conditions. For example, in this embodiment, the 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 actual conditions. For example, in this embodiment, the time interval between adjacent monitoring moments can be set to 1 second.

[0022] 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 under normal circumstances, 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 power disconnection command, thereby protecting the circuits or various electrical equipment in the power grid. This embodiment mainly optimizes the monitoring and analysis process of the data analysis module to avoid the feeder automation terminal from issuing erroneous control commands as much as possible, thereby improving the accuracy of the feeder automation terminal in controlling the circuit breaker.

[0023] 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.

[0024] During the operation or use of the power grid, the number and type of devices used may increase, and this may cause current information of other frequencies to exist 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 have increased, 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 abnormality characterization value by analyzing the non-fundamental wave component. Based on the target abnormality 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 operational 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 operational 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 results. The non-fundamental wave refers to the harmonic frequency and the interharmonic frequency.

[0025] Therefore, based on the above analysis, it can be seen that this 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. Before obtaining the target abnormal characterization value, this embodiment needs to first obtain the characteristic ratio at the current monitoring moment. The characteristic ratio represents the ratio between the non-fundamental wave content and the fundamental wave content, that is, the characteristic ratio can reflect the difference between the non-fundamental wave content and the fundamental wave content. Then, by analyzing the obtained characteristic ratio, the non-fundamental wave content change characterization value at the current monitoring moment is determined. Finally, the target abnormal characterization value at the current monitoring moment is determined based on the obtained characteristic ratio and non-fundamental wave 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 wave content change characterization value at the current monitoring moment, and the target abnormal characterization value serves as the basis for the feeder automation terminal to remotely control the circuit breaker at the current monitoring moment. It can be seen that this embodiment needs to first obtain the characteristic ratio at the current monitoring moment, and the specific process of obtaining is as follows:

[0026] First, the spectrum to be analyzed at the current monitoring moment is obtained based on the current current data at the current monitoring moment and the historical current data sequence corresponding to the adjacent historical monitoring time period at the current monitoring moment. The specific process of obtaining the spectrum to be analyzed is as follows:

[0027] The historical current data sequence and the current current data are reordered in the order of the reception 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 the order of the horizontal coordinate from small to large; and after the mapping, the current data in the new sequence can determine a data point, 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 graph to be analyzed at the current monitoring moment, the horizontal axis of the spectrum graph to be analyzed is frequency, and the vertical axis is amplitude; and since the process of obtaining the spectrum graph by Fourier transforming the time domain image is a well-known technology, it will not be described in detail in this embodiment.

[0028] After obtaining the spectrum to be analyzed, the characteristic ratio at the current monitoring moment is obtained according to the spectrum to be analyzed at the current monitoring moment. In this embodiment, the specific process of obtaining the characteristic ratio at the current monitoring moment is as follows:

[0029] First, determine the grid's fundamental frequency. This fundamental frequency is the primary frequency component of the voltage or current waveform in the grid. It's the dominant frequency component in the power system, and all electrical equipment and systems are designed and operated with this fundamental frequency as the reference frequency. Depending on the country, the grid's fundamental frequency is typically categorized as either 50 Hz or 60 Hz. For example, the fundamental frequency in some countries is generally 50 Hz.

[0030] 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. Moreover, harmonic frequencies are usually caused by nonlinear loads (such as computers, inverters, and power electronic equipment). These loads 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. In addition, 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.

[0031] 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 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. Then, 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.

[0032] Then, in the spectrum 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. Then, the fundamental content characteristic value at the current monitoring moment is added to the preset first constant, and the added value is recorded as the first characteristic value. Then, the ratio of the non-fundamental content characteristic value at the current monitoring moment to the first characteristic value is calculated and recorded as the characteristic ratio at the current monitoring moment. In this embodiment, the specific expression for obtaining the characteristic ratio at the current monitoring moment is:

[0033]

[0034]

[0035] 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, and 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 identical to the fundamental frequency in the spectrum to be analyzed, and c is a preset first constant. 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 purpose of setting the preset first constant is to avoid the denominator being 0.

[0036] Moreover, when the value of T is larger and the value of F0 is smaller, the value of S is larger, and the larger the value of S, the more non-fundamental wave content at the current monitoring moment. Conversely, when the value of T is smaller and the value of F0 is larger, the value of S is smaller, and the smaller the value of S, the more fundamental wave content at the current monitoring moment, 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 power grid operation or abnormal operation of electrical equipment is greater, so this embodiment subsequently further analyzes the characteristic ratio to control the circuit breaker more accurately.

[0037] 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 wave content there may be in the power grid at the current moment, or the larger the proportion of non-fundamental wave signals in the new sequence corresponding to the current moment is. On the contrary, when M is The smaller the value of , the smaller the value of T. The smaller the value of T, the less non-fundamental wave content in the power grid at the current moment, or the smaller the proportion of non-fundamental wave signals in the new sequence corresponding to the current moment.

[0038] Therefore, this embodiment has obtained the characteristic ratio value at the current monitoring moment through the above process. Next, the characteristic ratio value is analyzed to analyze the change of the non-fundamental wave content. That is, the characteristic ratio value is analyzed to determine the non-fundamental wave content change characterization value at the current monitoring moment. The specific process of obtaining the non-fundamental wave content change characterization value is as follows:

[0039] 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.

[0040] Then, based on 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 based on 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, based on the two adjacent characteristic ratios in the obtained characteristic ratio sequence, the first index value sequence is obtained, and the i-th first index value in the first index 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.

[0041] Then, based on the first indicator value sequence, a first difference value sequence is obtained, and the i-th first difference value in the first difference value 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 average of all first differences in the first difference value sequence is obtained and recorded as the non-fundamental wave content change representation value at the current monitoring moment; and in specific applications, the implementer needs to set the preset second constant according to actual conditions. For example, in this embodiment, the preset second constant is set to constant 1; in addition, the specific expression for obtaining the non-fundamental wave content change representation value at the current monitoring moment in this embodiment is:

[0042]

[0043] in, is the non-fundamental content change characterization value at the current monitoring moment, N is the total number of first differences in the first difference 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.

[0044] And when the power consumption changes in the power grid are normal, that is, when the power grid operates normally or the power 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 large impact, which may affect the normal operation of the power grid or the power equipment connected to the power grid, that is, it may cause the power grid to operate abnormally or the power 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 obtained non-fundamental wave content change characterization value will be used as an important indicator for determining the target abnormality characterization value in the future; 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.

[0045] Therefore, this embodiment obtains the non-fundamental wave content change characterization value at the current monitoring moment through the above process.

[0046] The third acquisition module 03 is used to obtain a sequence of non-fundamental wave content change characterization values, and obtain the target abnormality characterization value at the current monitoring moment based on 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 at the current monitoring moment.

[0047] This embodiment will then obtain a sequence of non-fundamental wave content variation characterization values, which is mainly used to determine the target abnormality characterization value. The process of obtaining the sequence of non-fundamental wave content variation characterization values ​​is as follows:

[0048] First, the non-fundamental wave content change characterization values ​​at each historical monitoring moment to be analyzed in the historical monitoring time period to be analyzed are obtained, and all are recorded as the characterization values ​​to be sorted, and the historical monitoring time period to be analyzed includes the neighboring historical monitoring time periods of the current monitoring moment; in addition, the method for obtaining the non-fundamental wave content change characterization values ​​at the historical monitoring moments to be analyzed is the same as the method for obtaining the non-fundamental wave content change characterization values ​​at the current monitoring moment, so this embodiment will not be described in detail.

[0049] 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 closest to 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.

[0050] Then, all the characterization values ​​to be sorted are sorted in ascending order, and the sorted sequence is recorded as the non-fundamental wave content change characterization value sequence.

[0051] After obtaining the non-fundamental wave content change characterization value sequence, this embodiment will then obtain the target abnormality characterization value at the current monitoring moment based on 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 at the current monitoring moment. The specific process of obtaining the target abnormality characterization value at the current monitoring moment is:

[0052] 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.

[0053] Then, 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 it by the reference characterization value is recorded as the non-fundamental wave information abnormal value at the current monitoring moment. That is, the calculation formula of the non-fundamental wave information abnormal value is:

[0054]

[0055] 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, 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 an abnormal operation. Conversely, when the value of Y is smaller, the more normal the change of non-fundamental wave content at the current monitoring moment is, and the smaller the probability that the power grid or the electrical equipment connected to the power grid will have an abnormal operation.

[0056] Then, 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 normalization is then recorded as the target abnormality characterization value at the current monitoring moment. In this embodiment, the normalization function sigmoid() is used for normalization.

[0057] 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 operational 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 operational abnormality, or the smaller the probability that the current in the power grid will have an abnormality.

[0058] Control module 04: a feeder automation terminal in the power grid remotely controls the circuit breaker in the power grid according to the target abnormality characterization value.

[0059] Then, a 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 disconnect instruction to the circuit breaker in the power grid through its built-in communication module. Then the circuit breaker receives the instruction information sent by the feeder automation terminal through its built-in receiving module and performs corresponding operations, thereby timely protecting the power grid and its equipment; 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 not an abnormal operation. Therefore, the feeder automation terminal does not need to send a power disconnect instruction to the circuit breaker in the power grid, that is, it is determined that the power grid continues to operate.

[0060] In specific applications, the implementer needs to set the preset judgment threshold according to actual conditions. For example, in this embodiment, the preset judgment threshold is set to 0.7.

[0061] In summary, this embodiment provides a feeder automation terminal with a circuit breaker operating status telemetry function, including 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; acquiring a characteristic ratio at the current monitoring moment based on the frequency spectrum to be analyzed; acquiring a characteristic ratio at the current monitoring moment in the neighboring historical monitoring time period; and acquiring a characteristic ratio at the current monitoring moment in the neighboring historical monitoring time period. The characteristic ratios at each neighboring historical monitoring moment are used to obtain the non-fundamental content change characterization value at the current monitoring moment based on the characteristic ratios at the current monitoring moment and the characteristic ratios at the neighboring historical monitoring moments; a third acquisition module is used to obtain a sequence of non-fundamental content change characterization values, and obtain a target abnormality characterization value at the current monitoring moment based on the sequence of non-fundamental content change characterization values, the characteristic ratios at the current monitoring moment, and the non-fundamental content change characterization value at the current monitoring moment; a control module is used to remotely control the circuit breakers in the power grid based on the target abnormality characterization value. In this embodiment, based on the target abnormality characterization value at the current monitoring moment, the feeder automation terminal can accurately remotely control the circuit breakers in the power grid or improve the accuracy of the feeder automation terminal in controlling the circuit breakers in the power grid, thereby also enabling the feeder automation terminal to have higher working performance and efficiency in the process of monitoring the operation of the power grid or achieving the purpose of timely protection of the power grid and its power-consuming equipment.

[0062] The above-described embodiments 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, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. A feeder automation terminal with circuit breaker operating status telemetry function, characterized in that: The feeder automation terminal with the circuit breaker operation status telemetry function includes: A first acquisition module is configured to acquire current current data at a current monitoring moment and a sequence of historical current data corresponding to a historical monitoring time period immediately preceding the current monitoring moment, wherein the current data is current data received by a feeder automation terminal in the power grid; A second acquisition module is configured to obtain, based on the current current data and the historical current data sequence, a frequency spectrum to be analyzed at the current monitoring moment; obtain, based on the frequency spectrum to be analyzed, a characteristic ratio at the current monitoring moment; obtain the characteristic ratios at each neighboring historical monitoring moment in the neighboring historical monitoring time period, and obtain, based on the characteristic ratios at the current monitoring moment and the characteristic ratios at the neighboring historical monitoring moments, a non-fundamental content change characterization value at the current monitoring moment; A third acquisition module 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 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, wherein a feeder automation terminal in the power grid remotely controls a circuit breaker in the power grid according to the target abnormality characterization value; The method for obtaining the non-fundamental wave content change characterization value at the current monitoring moment includes: Sort the characteristic ratios of each neighboring historical monitoring moment in the neighboring historical monitoring time period and the characteristic ratios of the current monitoring moment in chronological order to obtain a characteristic ratio 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 S i+1 With (S i +c) ratio; where S i+1 is the i+1th characteristic ratio in the characteristic ratio sequence, S i is the i-th characteristic ratio in the characteristic ratio sequence, and c is a preset first constant; Obtaining a first difference value sequence according to the first indicator value sequence, wherein the i-th first difference value in the first difference value sequence is the absolute value of the difference between the i-th first indicator value in the first indicator value sequence and a preset second constant; The average of all first differences in the first difference sequence is recorded as the non-fundamental wave content change representation value at the current monitoring moment.

2. A feeder automation terminal with a circuit breaker operating status telemetry function according to claim 1, characterized in that: The method for obtaining 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, where 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, recording the connected image as a time domain image; Performing Fourier transform on the time domain image, and recording the Fourier transformed time domain image as the spectrum diagram to be analyzed at the current monitoring moment.

3. A feeder automation terminal with a circuit breaker operating status telemetry function according to 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 have amplitudes other than 0 is recorded as a non-fundamental frequency set; In the spectrum 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 moment; 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 a circuit breaker operating status telemetry function according to claim 1, characterized in that: The method for obtaining a sequence of non-fundamental wave content variation characterization values ​​includes: 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.

5. A feeder automation terminal with a circuit breaker operating status telemetry function according to claim 1, characterized in that: The method for obtaining the target abnormality characterization value at the current monitoring moment includes: Obtaining a reference characterization value according to the non-fundamental wave content change characterization value sequence; 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 the result by the reference characterization value is recorded as the non-fundamental wave information abnormal value at the current monitoring moment; A normalized value obtained by multiplying the non-fundamental wave information abnormal value by the current current data is recorded as the target abnormality representation value at the current monitoring moment.

6. A feeder automation terminal with a circuit breaker operating status telemetry function as claimed in claim 5, characterized in that: The method for obtaining the benchmark characterization value includes: An iterative self-organizing clustering algorithm is used to cluster the non-fundamental content change characterization value sequence to obtain various cluster clusters; the characteristic mean corresponding to each cluster cluster is obtained, and the minimum 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.

7. A feeder automation terminal with a circuit breaker operating status telemetry function according to claim 1, characterized in that: The method for remotely controlling a circuit breaker in the power grid by a feeder automation terminal in the power grid according to the target abnormality characterization value includes: A preset judgment threshold is obtained to determine whether the target abnormality characteristic value is greater than the preset judgment threshold. If so, the feeder automation terminal sends a power disconnect instruction to the circuit breaker in the power grid.

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