Acceptance and acceptance test method and system for substation station end

Abstract

The invention provides an acceptance test method and system for a substation station end. The method comprises the steps that current test data and voltage test data of a plurality of power monitoring lines marked at the station end of a substation are acquired, the current test data comprise current monitoring coefficients of the power monitoring lines, and the current monitoring coefficients are related to line average current values, current vector deviations and line monitoring current variances; the voltage test data comprises a voltage monitoring coefficient of each power monitoring line, and the voltage monitoring coefficient is related to a voltage vector deviation and a voltage average achievement deviation; and according to the current test data and the voltage test data, abnormity monitoring is carried out on each power monitoring line to obtain line abnormity classification data, then line abnormal points are positioned to obtain position data of the line abnormal points, and line abnormity early warning is issued. According to the method, the problem of low acceptance efficiency caused by difficulty in simultaneous fault positioning of a plurality of test abnormal positions in the prior art is solved.

Description

Technical Field

[0001] The present application relates to the field of automated testing of power systems, and in particular, to an acceptance testing method and system for a substation. Background Art

[0002] In the operation of the power system, substations are an important link connecting power plants and electricity users. The normal operation of their equipment is crucial to the safety and stability of the entire power network. During the construction and maintenance of substations, equipment acceptance testing is a necessary step to ensure that the equipment functions properly and meets technical specifications. Traditional acceptance test methods mainly rely on manual operation to check whether the equipment can operate normally by measuring the current and voltage of the equipment in the operating state. However, this method only evaluates equipment performance from a single dimension and cannot fully examine the performance of the equipment under actual working conditions. In addition, when encountering multiple test anomalies, manual fault location one by one is inefficient, which affects the progress of the acceptance work.

[0003] In recent years, with the development of power system automation technology, automated testing methods have gradually become a research hotspot. However, existing automated testing methods often only focus on one aspect of current or voltage, and lack a comprehensive assessment of the operating status of power equipment. For example, some devices only monitor current and ignore the possible impact of voltage changes; other devices only focus on voltage and do not fully consider the impact of current fluctuations on the power system. This single monitoring method is difficult to accurately judge the health status of power equipment, which may result in potential faults not being discovered in time. Summary of the invention

[0004] The main purpose of the present application is to provide an acceptance test method and system for a substation plant end, so as to at least solve the problem in the prior art that it is difficult to simultaneously locate faults at multiple test abnormal locations, resulting in low acceptance efficiency.

[0005] In order to achieve the above-mentioned purpose, according to one aspect of the present application, there is provided an acceptance test method for a substation plant end, comprising: obtaining current test data of a plurality of power monitoring lines marked at the substation plant end, wherein the current test data comprises a current monitoring coefficient of each of the power monitoring lines, and the current monitoring coefficient is related to the average current value of the line, the current vector deviation and the variance of the line monitoring current; obtaining voltage test data of a plurality of power monitoring lines marked at the substation plant end, wherein the voltage test data comprises a voltage monitoring coefficient of each of the power monitoring lines, and the voltage monitoring coefficient is related to the voltage vector deviation and the voltage average deviation; performing abnormal monitoring on each of the power monitoring lines according to the current test data and the voltage test data to obtain line abnormality classification data; locating line abnormal points according to the line abnormality classification data to obtain the position data of the line abnormal points, and issuing line abnormality warnings.

[0006] Optionally, the current monitoring coefficient in the current test data of multiple power monitoring lines marked at the substation plant end is obtained, including: using the formula Jdl=|Lp-Ls+Lc+Sl to calculate the current monitoring coefficient, wherein Jdl is the current monitoring coefficient, Lp is the average current value of the line, Ls is the reference current upper limit or the reference current lower limit, Lc is the line monitoring current variance, and Sl is the current vector deviation.

[0007] Optionally, before obtaining the current monitoring coefficient in the current test data of multiple power monitoring lines marked at the substation plant end, the method also includes: for each of the power monitoring lines, obtaining the average value of all monitored current values ​​within the current monitoring period, and determining the average value as the average current value of the line; within the current monitoring period, selecting multiple current monitoring time points, and obtaining multiple three-phase current vector sums of the power monitoring line at each current monitoring time point, comparing the values ​​of the multiple three-phase current vector sums, and determining the three-phase current vector sum with the largest value as the current vector deviation; calculating the variance of all the monitoring current values ​​within the current monitoring period, and determining the variance of the monitoring current values ​​as the line monitoring current variance.

[0008] Optionally, multiple three-phase current vector sums of the power monitoring line are obtained at each current monitoring time point, including: in the power monitoring line, randomly selecting a phase angle as a first reference phase angle, obtaining the current value of the first conductor at the first reference phase angle at the current monitoring time point, and obtaining a first phase current value; obtaining a phase angle that differs from the first reference phase angle in a positive direction by a first characteristic angle as a first deviation phase angle, obtaining the current value of the second conductor at the current monitoring time point corresponding to the first deviation phase angle, and obtaining a second phase current value; obtaining a phase angle that differs from the first reference phase angle in a positive direction by a second characteristic angle as a second deviation phase angle, obtaining the current value of the third conductor at the current monitoring time point corresponding to the second deviation phase angle, and obtaining a third phase current value; performing vector summation on the first phase current value, the second phase current value, and the third phase current value to obtain a first vector sum, and taking the absolute value of the first vector sum to obtain the three-phase current vector sum corresponding to the current monitoring time point; obtaining the three-phase current vector sums corresponding to all the current monitoring time points to obtain multiple three-phase current vector sums.

[0009] Optionally, obtaining the voltage monitoring coefficient from the voltage test data of the multiple power monitoring lines marked at the substation plant end includes: using a formula to calculate the voltage monitoring coefficient, where Jyl is the voltage monitoring coefficient, Ysc is the voltage average deviation, and Yp is the voltage vector deviation.

[0010] Optionally, before obtaining the voltage monitoring coefficient in the voltage test data of the multiple power monitoring lines marked at the substation plant end, the method also includes: for each of the power monitoring lines, selecting multiple voltage monitoring time points, obtaining multiple three-phase voltage vector sums at each of the voltage monitoring time points, comparing the values ​​of the multiple three-phase voltage vector sums, and determining the three-phase voltage vector sum with the largest value as the voltage vector deviation; obtaining a first actual voltage value of the high-voltage side of the power monitoring line at the voltage monitoring time point, a second actual voltage value of the low-voltage side of the power monitoring line at the voltage monitoring time point, and the The high-voltage side of the power monitoring line has a first preset voltage value at the voltage monitoring time point, and the low-voltage side of the power monitoring line has a second preset voltage value at the voltage monitoring time point; the voltage achievement deviation is calculated using the formula Ypy=|Gy1-Gy2|+|Dy1-Dy2|, wherein Ypy is the voltage achievement deviation, Gy1 is the first actual voltage value, Gy2 is the second actual voltage value, Dy1 is the first preset voltage value, and Dy2 is the second preset voltage value; the average of all the voltage achievement deviations of each of the power monitoring lines is calculated to obtain the voltage average achievement deviation corresponding to each of the power monitoring lines.

[0011] Optionally, multiple three-phase voltage vector sums are obtained at each voltage monitoring time point, including: in the power monitoring line, randomly selecting a phase angle as the second reference phase angle, obtaining the voltage value of the conductor at the second reference phase angle at the voltage monitoring time point, and obtaining a first phase voltage value; obtaining a phase angle that differs from the second reference phase angle in a positive direction by a third characteristic angle as the third deviation phase angle, obtaining the voltage value corresponding to the conductor at the third deviation phase angle at the voltage monitoring time point, and obtaining a second phase voltage value; obtaining a phase angle that differs from the second reference phase angle in a positive direction by a fourth characteristic angle as the fourth deviation phase angle, obtaining the voltage value of the conductor at the fourth deviation phase angle at the voltage monitoring time point, and obtaining a third phase voltage value; performing vector summation on the first phase voltage value, the second phase voltage value, and the third phase voltage value to obtain a second vector sum, and taking the absolute value of the second vector sum to obtain the three-phase voltage vector sum corresponding to the voltage monitoring time point; obtaining the three-phase voltage vector sums corresponding to all the voltage monitoring time points to obtain multiple three-phase voltage vector sums.

[0012] Optionally, based on the current test data and the voltage test data, each of the power monitoring lines is monitored for abnormalities to obtain line abnormality classification data, including: comparing the current test data of each of the power monitoring lines with a preset current monitoring coefficient threshold, and comparing the voltage test data of each of the power monitoring lines with a preset voltage monitoring coefficient threshold; in the case where the current test data is greater than the preset current monitoring coefficient threshold and the voltage test data is greater than the preset voltage monitoring coefficient threshold, marking the abnormal monitoring code as the first code; in the case where the current test data is greater than the preset current monitoring coefficient threshold and the voltage test data is less than or equal to When the preset voltage monitoring coefficient threshold is met, the abnormal monitoring code is marked as the second code; when the current test data is less than or equal to the preset current monitoring coefficient threshold and the voltage test data is greater than the preset voltage monitoring coefficient threshold, the abnormal monitoring code is marked as the third code; when the current test data is less than or equal to the preset current monitoring coefficient threshold and the voltage test data is less than or equal to the preset voltage monitoring coefficient threshold, the abnormal monitoring code is marked as the fourth code; the first code, the second code, the third code and the fourth code of each of the power monitoring lines are summarized to form the line abnormality classification data.

[0013] Optionally, according to the line abnormality classification data, the line abnormal point is located to obtain the position data of the line abnormal point, including: when there is a preset code in the abnormal classification data of the power monitoring line, marking the power monitoring line as a first type of power monitoring line; selecting multiple pulse test points on the first type of power monitoring line, transmitting a first test pulse from the first pulse test point to the second pulse test point, and recording the first pulse intensity at the transmission time and the second pulse intensity at the reception time, as well as the transmission time and the reception time; obtaining the first pulse test point to receive the second test pulse returned from the abnormal point in the line, and recording the intensity of the second test pulse and the arrival time of the second test pulse; when the first pulse intensity is inconsistent with the second pulse intensity, or the intensity of the second test pulse is greater than a preset intensity threshold, determining that the line abnormal point exists in the line area between the first pulse test point and the second pulse test point; according to the difference between the transmission time and the reception time, and the propagation speed of the first test pulse, calculating the distance between the line abnormal point and the first pulse test point, and determining the distance as the fault distance; determining the first pulse test point, the second pulse test point and the fault distance as the position data of the line abnormal point.

[0014] According to another aspect of the present application, an acceptance test system for a substation plant end is provided, comprising: a current data module, for obtaining the line average current value, current vector deviation and line monitoring current variance of each power monitoring line marked at the substation plant end, and obtaining the current monitoring coefficient of each power monitoring line based on the line average current value, the current vector deviation and the line monitoring current variance analysis, and determining the current monitoring coefficient as current test data; a voltage data module, for obtaining the voltage vector deviation and the voltage average achievement deviation corresponding to each power monitoring line according to the current test data, and obtaining the voltage monitoring coefficient of each power monitoring line based on the voltage vector deviation and the voltage average achievement deviation analysis, and determining the voltage monitoring coefficient as voltage test data; a line abnormality module, for performing abnormality monitoring on each power monitoring line according to the current test data and the voltage test data, and obtaining line abnormality classification data; a fault location module, for locating the line abnormal point according to the line abnormality classification data, obtaining the position data of the line abnormal point, and issuing a line abnormality warning.

[0015] By applying the technical solution of the present application, current test data of multiple power monitoring lines marked at the substation plant end are obtained, wherein the current test data include the current monitoring coefficient of each power monitoring line, and the current monitoring coefficient is related to the average current value of the line, the current vector deviation, and the variance of the line monitoring current; voltage test data of multiple power monitoring lines marked at the substation plant end are obtained, wherein the voltage test data include the voltage monitoring coefficient of each power monitoring line, and the voltage monitoring coefficient is related to the voltage vector deviation and the voltage average deviation; based on the current test data and the voltage test data, each power monitoring line is monitored for abnormalities to obtain line abnormality classification data; based on the line abnormality classification data, the line abnormal point is located to obtain the position data of the line abnormal point, and a line abnormality warning is issued, thereby solving the problem that it is difficult for the prior art to simultaneously locate faults at multiple test abnormal locations, resulting in low acceptance efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings constituting part of the present application are used to provide a further understanding of the present application. The exemplary embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0017] Figure 1 A hardware structure block diagram of a mobile terminal for executing an acceptance test method for a substation plant side provided in an embodiment of the present application is shown;

[0018] Figure 2A schematic diagram of a flow chart of an acceptance test method for a substation plant side provided according to an embodiment of the present application is shown;

[0019] Figure 3 A schematic diagram of the distribution of pulse test points in a power monitoring line of an acceptance test method for a substation plant end provided according to an embodiment of the present application is shown;

[0020] Figure 4 A schematic diagram of an acceptance test system for a substation provided according to an embodiment of the present application is shown.

[0021] The reference numerals are as follows:

[0022] 102, processor; 104, memory; 106, transmission device; 108, input and output devices. DETAILED DESCRIPTION

[0023] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0024] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0026] As introduced in the background technology, the acceptance test method in the prior art mainly relies on manual operation, and checks whether the equipment can operate normally by measuring the current and voltage of the equipment in the operating state. However, this method only evaluates the performance of the equipment from a single dimension and cannot comprehensively examine the performance of the equipment under actual working conditions. In addition, when encountering multiple test abnormal points, manual fault location one by one is inefficient, which affects the progress of the acceptance work. In order to solve the problem that it is difficult to simultaneously locate faults at multiple test abnormal locations in the prior art, resulting in low acceptance efficiency, the embodiments of the present application provide an acceptance test method and system for the substation plant end.

[0027] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0028] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking running on a mobile terminal as an example, Figure 1 1 is a hardware structure block diagram of a mobile terminal for a substation plant-side acceptance test method according to an embodiment of the present invention. Figure 1 As shown, the mobile terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the mobile terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations shown.

[0029] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the display method of device information in the embodiment of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, the above method is implemented. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of the above-mentioned network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof. The transmission device 106 is used to receive or send data via a network. The above-mentioned specific examples of the network may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0030] In this embodiment, an acceptance test method for a substation plant end running on a mobile terminal, a computer terminal or a similar computing device is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0031] Figure 2 1 is a flow chart of an acceptance test method for a substation plant according to an embodiment of the present application. Figure 2 As shown, the method comprises the following steps:

[0032] Step S201, obtaining current test data of multiple power monitoring lines marked at the substation plant end, wherein the current test data includes current monitoring coefficients of each of the power monitoring lines, and the current monitoring coefficients are related to the line average current value, current vector deviation and line monitoring current variance.

[0033] Specifically, at the plant end of the substation, the lines in the power system are divided into multiple monitoring lines, each of which may cover one or more electrical equipment, such as transformers, relays, etc. The setting of these lines helps to monitor the power system in different areas, which is convenient for subsequent fault location. Obtaining the current test data of these power monitoring lines is one of the key steps in the embodiment of the present application. The current test data includes the current monitoring coefficient of each power monitoring line, which is obtained by analyzing and calculating the average current value, current vector deviation and variance of the monitoring current of the line, and is used to determine whether the current state of the line is within the normal range or there is an abnormality. The average current value of the line reflects the current operation state of the line over a period of time, the current vector deviation is used to detect whether there is current imbalance or abnormal fluctuation in the line, and the line monitoring current variance reflects the fluctuation of the current value over time. The increase in the current variance may mean that there is instability or a fault source in the line. The current monitoring coefficients of each power monitoring line are aggregated to form current test data. These data contain a comprehensive evaluation of the current state of all monitoring lines, which is the basis for subsequent line abnormality detection and fault location.

[0034] Step S202, obtaining voltage test data of the multiple power monitoring lines marked at the substation plant end, wherein the voltage test data includes a voltage monitoring coefficient of each of the power monitoring lines, and the voltage monitoring coefficient is related to the voltage vector deviation and the voltage average deviation.

[0035] Specifically, mark the power monitoring lines: at the plant end of the substation, divide the lines in the power system into multiple power monitoring lines, which are used to monitor the voltage status of different parts of the power system and ensure the normal operation of power equipment. For each marked power monitoring line, the voltage monitoring coefficient is calculated based on the voltage vector deviation and the voltage average achievement deviation of the line, which is used to comprehensively evaluate the voltage status of the power line and determine whether the line voltage status is within the normal range or there is an abnormality. The voltage vector deviation is used to reflect the imbalance or abnormal fluctuation of voltage between phases, and the voltage average achievement deviation helps to evaluate whether the voltage conversion efficiency of the power line meets expectations.

[0036] Step S203: performing abnormal monitoring on each of the above-mentioned power monitoring lines according to the above-mentioned current test data and the above-mentioned voltage test data to obtain line abnormality classification data.

[0037] Specifically, based on the current test data and voltage test data, the power monitoring line can be monitored for abnormalities. By comparing the actual test data with the data under normal working conditions, the abnormal conditions of each line can be identified and the abnormalities can be classified. Abnormal monitoring may include current overload, voltage abnormality, resistance abnormality, etc. By comparing the actual data with the data in the normal range, these abnormal conditions can be identified, classified and recorded.

[0038] Step S204: locate the abnormal point of the line according to the abnormal line classification data, obtain the position data of the abnormal point of the line, and issue a line abnormality warning.

[0039] Specifically, according to the above-mentioned line abnormality classification data, the line abnormal points can be located, the specific location data can be determined, and the line abnormality warning can be issued, which means that it is possible to find out where the abnormality occurs, which may be caused by equipment failure, man-made damage, natural disasters, etc. By issuing abnormal warnings in a timely manner, we can notify relevant departments to investigate and repair to ensure the normal operation and safety of the line. This timely positioning and warning work can help quickly solve line problems and avoid greater losses and impacts. By locating the abnormal points of the line and issuing abnormal warnings, the monitoring and management of the line status can be improved to ensure the reliability and stability of the line.

[0040] In the specific implementation process, the above-mentioned current monitoring coefficient is obtained from the current test data of multiple power monitoring lines marked at the substation plant end, including: using the formula Jdl=|Lp-Ls|+Lc+Sl to calculate the above-mentioned current monitoring coefficient, wherein Jdl is the above-mentioned current monitoring coefficient, Lp is the average current value of the above-mentioned line, Ls is the reference current upper limit or the reference current lower limit, Lc is the above-mentioned line monitoring current variance, and Sl is the above-mentioned current vector deviation.

[0041] Specifically, the current monitoring coefficient is a comprehensive indicator used to evaluate whether the current status of the power monitoring line is normal and the degree of deviation from the normal status. The following is an explanation of the specific steps:

[0042] Obtaining the current monitoring coefficient: The system first needs to obtain the current monitoring coefficient, which is obtained through a calculation formula. The formula includes the key current test data parameters of the line average current value (Lp), the upper or lower limit of the reference current (Ls), the line monitoring current variance (Lc), and the current vector deviation (Sl).

[0043] Line average current value (Lp): This is the value obtained by averaging the current value of each power monitoring line during a specific current monitoring period. The line average current value reflects the average current level of the line during this period and is the basis for evaluating the line current status.

[0044] Reference current upper or lower limit (Ls): This is the maximum or minimum current value allowed to pass through the line under normal operating conditions. The setting of the reference current upper and lower limits provides a standard for judging whether the line current is within a safe range.

[0045] Line monitoring current variance (Lc): The current variance reflects the degree of fluctuation of the current at different monitoring time points. An increase in the current variance may mean that the current operation of the line is unstable, with fluctuations or abnormal conditions.

[0046] Current vector deviation (Sl): The vector deviation is the absolute value of the three-phase current of the line after vector summation at a specific monitoring time point, and is compared with the maximum value of the three-phase current vector sum at all monitoring time points to determine the degree of phase imbalance of the line current.

[0047] The calculation formula of the current monitoring coefficient takes the above four parameters into consideration. The result of the formula reflects whether the current state of the line exceeds the normal range and the degree of deviation.

[0048] Through the above steps, the system can accurately calculate the current monitoring coefficient of each power monitoring line. These coefficients will be used in subsequent line abnormality classification and fault warning, helping maintenance personnel to quickly identify and locate possible power system faults and ensure the stable operation of the power system. This current monitoring coefficient calculation method based on multi-parameter comprehensive evaluation improves the accuracy and comprehensiveness of fault detection.

[0049] In the specific implementation process, before obtaining the above-mentioned current monitoring coefficient in the current test data of multiple power monitoring lines marked at the substation plant end, the above-mentioned method also includes: for each of the above-mentioned power monitoring lines, obtaining the average value of all monitoring current values ​​in the current monitoring period, and determining the above-mentioned average value as the average current value of the above-mentioned line; within the above-mentioned current monitoring period, selecting multiple current monitoring time points, and obtaining multiple three-phase current vector sums of the above-mentioned power monitoring lines at each of the above-mentioned current monitoring time points, comparing the values ​​of the multiple three-phase current vector sums, and determining the above-mentioned three-phase current vector sum with the largest value as the above-mentioned current vector deviation; calculating the variance of all the above-mentioned monitoring current values ​​in the above-mentioned current monitoring period, and determining the variance of the above-mentioned monitoring current values ​​as the above-mentioned line monitoring current variance.

[0050] Specifically, before calculating the current monitoring coefficient of the power monitoring line, the system collects and processes the current test data in the following steps:

[0051] Determine the average line current value (Lp):

[0052] During the specified current monitoring period, the system will continuously monitor the current of each power monitoring line and record all monitored current values ​​during the period.

[0053] The system then averages the recorded current values ​​to obtain the average current value of the power monitoring line during the period, which is defined as the line average current value (Lp). The line average current value reflects the current operating status of the power line during the monitoring period and is the basis for evaluating the overall performance of the line.

[0054] Get the current vector deviation (Sl):

[0055] During the current monitoring period, the system will randomly select multiple current monitoring time points to perform three-phase current analysis on the power monitoring line.

[0056] At each monitoring time point, the system calculates the vector sum of the three-phase currents of the line and records it.

[0057] The system then compares the values ​​of the three-phase current vector sum at all monitoring time points and defines the three-phase current vector sum with the largest value as the current vector deviation (Sl). The current vector deviation reveals the maximum current imbalance state of the power line during the monitoring period, which is crucial for detecting phase problems in the line.

[0058] Calculate the line monitoring current variance (Lc):

[0059] The system calculates the variance of all monitored current values ​​during the current monitoring period. Variance is a statistic that measures the degree of current value fluctuation. The line monitoring current variance (Lc) reflects the current stability of the power monitoring line during the monitoring period. A higher variance means that the current fluctuates more, and there may be a fault or abnormality.

[0060] In summary, these steps together constitute the process of collecting and analyzing current test data, providing key data support for the subsequent calculation of current monitoring coefficients. By calculating the average current value of the line, the current vector deviation, and the variance of the line monitoring current, the system can comprehensively evaluate the current status of the power monitoring line. These evaluation results will serve as an important basis for subsequent line anomaly classification and fault location. This method ensures that power system maintenance personnel can perform fault detection based on multi-dimensional data, thereby improving the accuracy and efficiency of fault detection.

[0061] In a specific implementation process, a plurality of three-phase current vector sums of the above-mentioned power monitoring line are obtained at each of the above-mentioned current monitoring time points, including: in the above-mentioned power monitoring line, a phase angle is randomly selected as a first reference phase angle, and a current value of a first conductor at the above-mentioned first reference phase angle is obtained at the above-mentioned current monitoring time point to obtain a first phase current value; a phase angle that is positively different from the above-mentioned first reference phase angle by a first characteristic angle is obtained as a first deviation phase angle, and a current value of a second conductor corresponding to the above-mentioned first deviation phase angle at the above-mentioned current monitoring time point is obtained to obtain a second phase current value; a phase angle that is positively different from the above-mentioned first reference phase angle by a second characteristic angle is obtained as a second deviation phase angle, and a current value of a third conductor corresponding to the above-mentioned second deviation phase angle at the above-mentioned current monitoring time point is obtained to obtain a third phase current value; vector summing the above-mentioned first phase current value, the above-mentioned second phase current value and the above-mentioned third phase current value is performed to obtain a first vector sum, and taking the absolute value of the above-mentioned first vector sum to obtain the above-mentioned three-phase current vector sum corresponding to the above-mentioned current monitoring time point; the above-mentioned three-phase current vector sums corresponding to all the above-mentioned current monitoring time points are obtained to obtain a plurality of the above-mentioned three-phase current vector sums.

[0062] Specifically, the process of obtaining the three-phase current vector sum of the power monitoring line at each current monitoring time point and then determining the current vector deviation is as follows:

[0063] Selection of the first reference phase angle: In a three-phase power system, the system first randomly selects a phase angle from the power monitoring line as the first reference phase angle. This reference angle is used to obtain subsequent phase current values ​​in order to standardize the starting point of current measurement and ensure the consistency and accuracy of subsequent calculations.

[0064] Acquisition of the first phase current value: The system measures the current value of the first conductor (i.e., the conductor corresponding to the reference phase) at the current current monitoring time point at the selected first reference phase angle, thereby obtaining the first phase current value, which is a direct measurement of the reference phase current and reflects the current size of the phase at the monitoring moment.

[0065] Acquisition of the first deviation phase angle and current value: The system then selects a phase angle that is positively different from the first reference phase angle by a first characteristic angle (usually 120 degrees, because in a three-phase system, the angle difference between any two phases is 120 degrees) as the first deviation phase angle, and then measures the current value of the second conductor at this phase angle at the current current monitoring time point to obtain the second phase current value. This step is to measure the phase current that is 120 degrees different from the reference phase for subsequent vector calculations.

[0066] Acquisition of the second deviation phase angle and current value: Next, the system selects the phase angle that is positively different from the first reference phase angle by a second characteristic angle (usually 240 degrees) as the second deviation phase angle, measures the current value of the third conductor at this phase angle at the current current monitoring time point, and obtains the third phase current value. Similar to the previous step, this is to measure the phase current that is 240 degrees different from the reference phase to ensure that all phases are covered.

[0067] Vector summation and absolute value calculation: The system performs vector summation on the first phase current value, the second phase current value, and the third phase current value, taking into account the current phase difference during calculation to obtain a vector sum, and then takes the absolute value of the vector sum to obtain the three-phase current vector sum at the current current monitoring time point. The absolute value of the vector sum reflects the degree of balance between the three-phase currents. The greater the imbalance, the greater the absolute value of the vector sum.

[0068] Collection of multiple three-phase current vector sums: The above steps are repeated at all current monitoring time points. The system will collect the three-phase current vector sums at each time point to form a data set containing multiple three-phase current vector sums. These data will be used for subsequent current vector deviation calculation and line anomaly analysis.

[0069] Through the above steps, the system can accurately capture the three-phase current fluctuations of the power monitoring line at different time points. The calculated sum of multiple three-phase current vectors is the key data for evaluating the current balance and stability of the power line during the monitoring period. Furthermore, by comparing these vector sum values, the monitoring time point with the largest current vector deviation can be identified, thereby locating possible current imbalance or fault position.

[0070] During the specific implementation process, the voltage monitoring coefficient is obtained from the voltage test data of the multiple power monitoring lines marked at the substation plant end, including: the voltage monitoring coefficient is calculated using the formula Jyl=Ysc+Yp, wherein Jyl is the voltage monitoring coefficient, Ysc is the voltage average deviation, and Yp is the voltage vector deviation.

[0071] Specifically, the voltage monitoring coefficient is a comprehensive evaluation indicator of the voltage condition of the power line, which is used to determine whether the line voltage is stable and in line with expectations. The steps for calculating the voltage monitoring coefficient and their explanations are as follows:

[0072] Obtaining the average voltage deviation (Ysc): During the voltage test, the system obtains the voltage values ​​of the power monitoring line during a specific monitoring period, including the voltages on the high-voltage side and the low-voltage side. The system then calculates the average deviation between these voltage values ​​and the preset voltage value (target conversion voltage). This deviation value reflects whether the line voltage is stable as a whole during the monitoring period and the difference from the expected target, which is defined as the average voltage deviation. A large average voltage deviation may indicate that the line has problems such as low voltage conversion efficiency or voltage fluctuations.

[0073] Obtaining voltage vector deviation (Yp): At each voltage monitoring time point, the system calculates the three-phase voltage vector sum of the power monitoring line and records the absolute value of the vector sum. The system then compares the absolute values ​​of the three-phase voltage vector sum at all monitoring time points and defines the vector sum absolute value with the largest value as the voltage vector deviation. The voltage vector deviation is used to evaluate the balance between the three-phase voltages. The larger the deviation value, the higher the degree of imbalance of the three-phase voltage, and there may be phase failure or voltage fluctuation problems.

[0074] Calculate the voltage monitoring coefficient (Jyl): After obtaining the voltage average deviation (Ysc) and the voltage vector deviation (Yp), the voltage monitoring coefficient (Jyl) is calculated using the formula Jyl = Ysc + Yp. This formula uses Ysc and Yp as input parameters to calculate the voltage monitoring coefficient (Jyl) to reflect the voltage status of the power line. The size of the voltage monitoring coefficient can intuitively reflect the stability of the line voltage and the difference between the standard voltages, and is an important basis for line abnormality classification and fault location.

[0075] Through the above process, the voltage test data of the power monitoring line is analyzed, and the voltage monitoring coefficient reflecting the line voltage status is calculated. The calculation of the voltage monitoring coefficient comprehensively considers the average deviation of the voltage and the phase balance, making fault detection more accurate and comprehensive. The system will judge whether the voltage status of the power line is normal based on this coefficient, providing key data for subsequent line abnormality classification and fault warning. This quantitative analysis method based on voltage test data helps power system maintenance personnel quickly identify and locate potential voltage problems and ensure the stable operation of the power system.

[0076] During the specific implementation process, before obtaining the above-mentioned voltage monitoring coefficient in the voltage test data of the multiple power monitoring lines marked at the plant end of the above-mentioned substation, the above-mentioned method also includes: for each of the above-mentioned power monitoring lines, selecting multiple voltage monitoring time points, obtaining multiple three-phase voltage vector sums at each of the above-mentioned voltage monitoring time points, comparing the values ​​of the multiple three-phase voltage vector sums, and determining the three-phase voltage vector sum with the largest value as the above-mentioned voltage vector deviation; obtaining the first actual voltage value of the high-voltage side of the above-mentioned power monitoring line at the above-mentioned voltage monitoring time point, and the second actual voltage value of the low-voltage side of the above-mentioned power monitoring line at the above-mentioned voltage monitoring time point. , a first preset voltage value of the high-voltage side of the above-mentioned power monitoring line at the above-mentioned voltage monitoring time point, and a second preset voltage value of the low-voltage side of the above-mentioned power monitoring line at the above-mentioned voltage monitoring time point; the voltage achievement deviation is calculated using the formula Ypy=|Gy1-Gy2+Dy1-Dy2|, wherein Ypy is the above-mentioned voltage achievement deviation, Gy1 is the first actual voltage value, Gy2 is the second actual voltage value, Dy1 is the first preset voltage value, and Dy2 is the second preset voltage value; the average of all the above-mentioned voltage achievement deviations of each of the above-mentioned power monitoring lines is calculated to obtain the above-mentioned average voltage achievement deviation corresponding to each of the above-mentioned power monitoring lines.

[0077] Specifically, before calculating the voltage monitoring coefficient, the voltage test data of multiple power monitoring lines at the substation plant end are collected and analyzed to obtain the voltage vector deviation and the voltage average deviation, thereby providing basic data for the calculation of the voltage monitoring coefficient. The specific steps are explained as follows:

[0078] Selecting voltage monitoring time points: Before conducting voltage tests on each power monitoring line, the system will randomly select multiple voltage monitoring time points. These time points are selected to cover different parts of the monitoring period to ensure the comprehensiveness and representativeness of the data.

[0079] Obtaining the three-phase voltage vector sum: At each selected voltage monitoring time point, the system will perform three-phase voltage analysis on the power monitoring line and obtain the voltage value of each phase. Subsequently, the system calculates the vector sum of these voltage values, that is, taking into account the phase difference of the three-phase voltage, converting the voltage value into vector form and summing it. Take the absolute value of the vector sum to obtain the three-phase voltage vector sum at that time point.

[0080] Determine the voltage vector deviation (Yp): The system compares the absolute values ​​of the three-phase voltage vector sum at all monitoring time points and defines the three-phase voltage vector sum with the largest value as the voltage vector deviation (Yp). This step reveals the maximum degree of three-phase voltage imbalance, which is of great significance for detecting phase faults in power lines.

[0081] Calculate the voltage achievement deviation (Ypy): The system obtains the actual voltage values ​​(Gy1 and Gy2) of the high-voltage side and the low-voltage side of the power monitoring line at each voltage monitoring time point, as well as the preset voltage values ​​(Dy1 and Dy2) of the high-voltage side and the low-voltage side at that time point. The preset voltage value is usually set based on the design parameters of the power equipment and the operating requirements of the power system. Then, the system uses a specific formula to calculate the voltage achievement deviation (Ypy) at each time point. The voltage achievement deviation reflects the difference between the actual voltage and the preset voltage, and is a key indicator for evaluating the voltage conversion efficiency of the power line.

[0082] Calculate the average voltage deviation (Ysc): The system averages the voltage deviation (Ypy) of the power monitoring line at all monitoring time points to obtain the average voltage deviation (Ysc). The average voltage deviation reflects the average level of voltage deviation of the power line during the entire monitoring period and is an important parameter for evaluating the voltage stability of the power line.

[0083] Through the above steps, the system can comprehensively analyze the voltage fluctuation of the power monitoring line during the monitoring period, including the balance of the three-phase voltage and the efficiency of voltage conversion. The obtained voltage vector deviation (Yp) and voltage average deviation (Ysc) are important data for the subsequent calculation of the voltage monitoring coefficient (Jyl). Through these data, the system can comprehensively evaluate the voltage status of the power line, timely discover and locate voltage anomalies, thereby ensuring the stable operation and safe power supply of the power system.

[0084] In the specific implementation process, a plurality of three-phase voltage vector sums are obtained at each of the above-mentioned voltage monitoring time points, including: in the above-mentioned power monitoring line, a phase angle is randomly selected as the second reference phase angle, and the voltage value of the conductor at the above-mentioned second reference phase angle at the above-mentioned voltage monitoring time point is obtained to obtain a first phase voltage value; a phase angle that is positively different from the above-mentioned second reference phase angle by a third characteristic angle is obtained as the third deviation phase angle, and the voltage value corresponding to the conductor at the above-mentioned third deviation phase angle at the above-mentioned voltage monitoring time point is obtained to obtain a second phase voltage value; a phase angle that is positively different from the above-mentioned second reference phase angle by a fourth characteristic angle is obtained as the fourth deviation phase angle, and the voltage value of the conductor at the above-mentioned fourth deviation phase angle at the above-mentioned voltage monitoring time point is obtained to obtain a third phase voltage value; vector summing the above-mentioned first phase voltage value, the above-mentioned second phase voltage value and the above-mentioned third phase voltage value is performed to obtain a second vector sum, and the absolute value of the above-mentioned second vector sum is taken to obtain the above-mentioned three-phase voltage vector sum corresponding to the above-mentioned voltage monitoring time point; the above-mentioned three-phase voltage vector sums corresponding to all the above-mentioned voltage monitoring time points are obtained to obtain a plurality of the above-mentioned three-phase voltage vector sums.

[0085] Specifically, when the substation performs voltage testing on the power monitoring line, the specific explanation of the process of obtaining the three-phase voltage vector sum at each voltage monitoring time point is as follows:

[0086] Selection of the second reference phase angle: When performing a voltage test, the system will first randomly select a phase angle as the second reference phase angle. This reference angle is used for subsequent voltage measurement and phase angle determination, with the aim of providing a unified starting point for voltage measurement to ensure data consistency and comparability.

[0087] Acquisition of the first phase voltage value: The system measures the voltage value of the conductor at the current voltage monitoring time point at the selected second reference phase angle to obtain the first phase voltage value. This is a direct measurement of the reference phase voltage, which can reflect the voltage magnitude of the phase at the monitoring time.

[0088] Acquisition of the third deviation phase angle and voltage value: The system then selects a phase angle that is positively different from the second reference phase angle by a third characteristic angle (usually 120 degrees, because in a three-phase system, the phase difference is 120 degrees) as the third deviation phase angle, and then measures the voltage value of the conductor at this phase angle at the current voltage monitoring time point to obtain the second phase voltage value. This step ensures that the voltage that is 120 degrees different in phase from the reference phase voltage is measured for subsequent vector and calculation.

[0089] Acquisition of the fourth deviation phase angle and voltage value: Then, the system selects the phase angle that is positively different from the second reference phase angle by the fourth characteristic angle (usually 240 degrees) as the fourth deviation phase angle, measures the voltage value of the conductor at this phase angle at the current voltage monitoring time point, and obtains the third phase voltage value. Similar to the previous two steps, this is to measure the voltage that is 240 degrees different from the reference phase voltage, thereby covering all phases of the three-phase voltage.

[0090] Vector summation and absolute value calculation: The system performs vector summation on the obtained first phase voltage value, second phase voltage value, and third phase voltage value. In a three-phase system, the voltage value has not only magnitude but also phase, so the vector sum will take into account the influence of the phase difference. Take the absolute value of this vector sum to obtain the three-phase voltage vector sum at the current voltage monitoring time point. The absolute value of the vector sum is an indicator of the balance of the three-phase voltage. The larger the absolute value, the higher the degree of imbalance.

[0091] Collect multiple three-phase voltage vector sums: The above vector summation and absolute value calculation steps will be repeated at all voltage monitoring time points. The system will collect the three-phase voltage vector sum at each time point to form a data set containing multiple three-phase voltage vector sums. These data will be used for subsequent voltage vector deviation calculations and comprehensive evaluation of power line voltage stability.

[0092] Through the above steps, the system can accurately measure and analyze the three-phase voltage fluctuations of the power monitoring line at different time points. The calculated sum of multiple three-phase voltage vectors is the key data for evaluating the voltage balance and stability of the power line. Furthermore, by comparing these vector sum values, the monitoring time point with the largest voltage vector deviation can be identified, which helps to locate possible voltage imbalance or phase failure, and provides an important basis for the maintenance and fault diagnosis of the power system. This measurement and analysis method based on three-phase voltage vectors is an effective means to monitor and ensure voltage stability in power systems.

[0093] During the specific implementation process, according to the above-mentioned current test data and the above-mentioned voltage test data, each of the above-mentioned power monitoring lines is monitored for abnormalities to obtain line abnormality classification data, including: comparing the above-mentioned current test data of each of the above-mentioned power monitoring lines with a preset current monitoring coefficient threshold, and comparing the above-mentioned voltage test data of each of the above-mentioned power monitoring lines with a preset voltage monitoring coefficient threshold; in the case where the above-mentioned current test data is greater than the above-mentioned preset current monitoring coefficient threshold and the above-mentioned voltage test data is greater than the above-mentioned preset voltage monitoring coefficient threshold, marking the abnormal monitoring code as the first code; in the case where the above-mentioned current test data is greater than the above-mentioned preset current monitoring coefficient threshold and the above-mentioned voltage test data is less than or When the current test data is equal to the preset voltage monitoring coefficient threshold, the abnormal monitoring code is marked as the second code; when the current test data is less than or equal to the preset current monitoring coefficient threshold and the voltage test data is greater than the preset voltage monitoring coefficient threshold, the abnormal monitoring code is marked as the third code; when the current test data is less than or equal to the preset current monitoring coefficient threshold and the voltage test data is less than or equal to the preset voltage monitoring coefficient threshold, the abnormal monitoring code is marked as the fourth code; the first code, the second code, the third code and the fourth code of each of the above-mentioned power monitoring lines are aggregated to form the above-mentioned line abnormality classification data.

[0094] Specifically, based on the collected current test data and voltage test data, the power monitoring line at the substation plant end is monitored for abnormalities, and the specific explanation of the process of classifying the monitoring results through coding is as follows:

[0095] Data threshold comparison: First, the system compares the current test data of each power monitoring line with the preset current monitoring coefficient threshold. At the same time, the system also compares the voltage test data of each power monitoring line with the preset voltage monitoring coefficient threshold. The current monitoring coefficient threshold and the voltage monitoring coefficient threshold are set according to the maximum allowable abnormal level during normal operation of the power line, and are used to determine whether the test data exceeds the normal range.

[0096] Abnormal monitoring code generation:

[0097] If the current test data of a power monitoring line is greater than the preset current monitoring coefficient threshold, and the voltage test data is also greater than the preset voltage monitoring coefficient threshold, then the abnormal monitoring code of this line will be marked as the first code (for example, FF), indicating that both the current and voltage are abnormal, which may be a serious line fault.

[0098] If the current test data is greater than the preset current monitoring coefficient threshold, but the voltage test data is less than or equal to the preset voltage monitoring coefficient threshold, the abnormal monitoring code will be marked as the second code (for example, FT), indicating that there is a current abnormality, but the voltage is still within an acceptable range.

[0099] If the current test data is less than or equal to the preset current monitoring coefficient threshold, but the voltage test data is greater than the preset voltage monitoring coefficient threshold, the abnormal monitoring code will be marked as the third code (for example, TF), which indicates that although the current is normal, the voltage is abnormal, which may be a voltage conversion or stability problem.

[0100] When the current test data and the voltage test data are both less than or equal to their respective monitoring coefficient thresholds, the abnormal monitoring code will be marked as the fourth code (eg, TT), indicating that both the current and voltage are within the normal range and the line is operating well.

[0101] Summary of line abnormality classification data: The system summarizes the abnormal monitoring codes corresponding to each power monitoring line to form line abnormality classification data. This data set records in detail the abnormal status of all power monitoring lines during the monitoring period. Through different combinations of the first to fourth codes, the system can quickly identify and classify the abnormal types of power lines, providing a basis for subsequent fault location and early warning.

[0102] Through the above process, the power monitoring system at the substation can effectively monitor the current and voltage status of the power line, and timely detect and classify potential line anomalies. This method combines the test results of the two key indicators of current and voltage, and intuitively classifies the monitoring results through the coding system, which greatly improves the efficiency and accuracy of fault detection, and helps the maintenance personnel of the power system to quickly locate and deal with line problems, thereby ensuring the stable operation of the power system.

[0103] During the specific implementation process, the line abnormal point is located according to the above-mentioned line abnormality classification data to obtain the position data of the above-mentioned line abnormal point, including: when there is a preset code in the above-mentioned abnormal classification data of the above-mentioned power monitoring line, the above-mentioned power monitoring line is marked as a first type of power monitoring line; multiple pulse test points are selected on the above-mentioned first type of power monitoring line, and a first test pulse is transmitted from the first pulse test point to the second pulse test point, and the first pulse strength at the transmission time and the second pulse strength at the receiving time, as well as the transmission time and the receiving time are recorded; the second test pulse returned from the abnormal point in the line by the above-mentioned first pulse test point is obtained, and the above-mentioned first pulse test point is recorded. The method comprises the following steps: determining the intensity of the first pulse and the second pulse and the arrival time of the second test pulse; determining that the line abnormal point exists in the line area between the first pulse test point and the second pulse test point when the intensity of the first pulse is inconsistent with the intensity of the second pulse, or the intensity of the second test pulse is greater than a preset intensity threshold; calculating the distance between the line abnormal point and the first pulse test point according to the difference between the transmission time and the reception time, and the propagation speed of the first test pulse, and determining the distance as the fault distance; determining the first pulse test point, the second pulse test point and the fault distance as the position data of the line abnormal point.

[0104] Specifically, the process of locating the abnormal point in the power monitoring line according to the line abnormality classification data and determining its specific position is explained as follows:

[0105] Abnormal line marking: The system first checks the line abnormal classification data. If there is a preset abnormal monitoring code (for example, the first code FF, the second code FT or the third code TF), it indicates that there is a current or voltage abnormality in the power monitoring line. At this time, the power monitoring line will be marked as a first-type power monitoring line. The marking process helps the system distinguish the lines that need further fault location and excludes the lines that are operating normally.

[0106] Pulse test point selection and testing: In the line marked as the first type of power monitoring line, the system selects multiple pulse test points, which are distributed at various locations of the power line to transmit and receive pulse signals to test the continuity and performance of the line. Figure 3As shown, the distribution of pulse test points in the power monitoring line is shown. Multiple pulse test points are selected, namely the first pulse test point to the jth pulse test point. The area between adjacent pulse test points is the line test area. For example, the area between the first pulse test point and the second pulse test point is the first line test area, and the area between the second pulse test point and the third pulse test point is the second line test area. The system starts from the first pulse test point and transmits the first test pulse to the next pulse test point (the second pulse test point), and records the first pulse intensity at the time of transmission and the second pulse intensity at the time of reception, and records the transmission time and the reception time. This process is repeated between all consecutive pairs of pulse test points.

[0107] Abnormal point return pulse detection: At the same time, the system receives the second test pulse reflected from the abnormal point in the line at the first pulse test point. The intensity and arrival time of this pulse are also recorded. Pulse reflection usually occurs at impedance discontinuities in the line, such as short circuits or open circuits. Therefore, by detecting the return pulse, it can be preliminarily determined that there may be abnormal points in the line.

[0108] Anomaly confirmation: The system compares the first pulse strength with the second pulse strength. If the two are inconsistent, this may mean that the pulse encountered an impedance change during transmission, indicating an abnormality in the line. In addition, if the intensity of the second test pulse is greater than the preset intensity threshold, this also confirms the existence of an anomaly. The intensity threshold is a limit set according to the normal pulse reflection intensity to filter out false alarms.

[0109] Fault distance calculation: Once the existence of the abnormal point is confirmed, the system calculates the distance between the abnormal point and the first pulse test point based on the difference between the transmission time and the reception time (i.e., the pulse transmission time) and the propagation speed of the first test pulse in the power line. This distance is the fault distance, and the calculation formula for the fault distance is: Among them, Jlg is the fault distance value, Cbs is the propagation speed of the first test pulse, Sjs1 is the receiving time value, and Sjs2 is the transmitting time value.

[0110] Determination of abnormal point location data: Finally, the system determines the first pulse test point, the second pulse test point and the calculated fault distance as the location data of the line abnormal point. These data provide accurate location information of the abnormal point, allowing maintenance personnel to quickly locate the fault and make timely repairs.

[0111] In order to enable those skilled in the art to more clearly understand the technical solution of the present application, the implementation process of the acceptance test method for the substation plant side of the present application will be described in detail below in combination with specific embodiments.

[0112] This embodiment relates to a specific acceptance test method for a substation plant side, comprising the following steps:

[0113] Step S1: At the substation end, mark multiple power monitoring lines.

[0114] Step S2: Obtain the corresponding line average current value, current vector deviation and line monitoring current variance from each power monitoring line.

[0115] Step S3: Analyze the line average current value, current vector deviation and line monitoring current variance to obtain the current monitoring coefficient as current test data.

[0116] Step S4: Obtain the corresponding voltage vector deviation and voltage average deviation from each power monitoring line.

[0117] Step S5: Analyze the voltage vector deviation and the voltage average deviation to obtain a voltage monitoring coefficient as voltage test data.

[0118] Step S6: Using the current test data and the voltage test data, perform abnormal monitoring on each power monitoring line.

[0119] Step S7: By comparing the current test data with the preset current monitoring coefficient threshold, and the voltage test data with the preset voltage monitoring coefficient threshold, each power monitoring line is monitored for abnormalities, and line abnormality classification data is obtained, and the lines with current or voltage abnormalities are marked as first type power monitoring lines.

[0120] Step S8: Select multiple pulse test points on the first type of power monitoring line, transmit pulse signals and receive reflected signals, compare signal strength and time difference to locate abnormal points on the line.

[0121] Step S9: Calculate the distance between the abnormal point and the first test point to generate the position data of the line abnormal point.

[0122] Step S10: issuing a line abnormality warning based on the location data of the line abnormality point.

[0123] The following is an example of this method. For example, a substation is undergoing acceptance testing. The substation has 10 power monitoring lines, numbered L1 to L10, and each line is connected to key power equipment such as transformers, relays, and capacitors. The goal of the acceptance test is to ensure that the performance of all lines in terms of power transmission and voltage conversion meets the standards and there are no fault points.

[0124] First, a current test is performed on the L1 line. Among the five randomly selected current monitoring time points, the first time point is selected as the sample monitoring time point, and the three-phase current values ​​at this time point are obtained. The maximum deviation Sl1 of the three-phase current vector sum is calculated, and the line average current Lp1 and the line monitoring current variance Lc1 are calculated.

[0125] Likewise, perform the same current test on the L2 to L10 lines.

[0126] Based on the above data, the current monitoring coefficients Jdl1 to Jdl10 of each line are calculated.

[0127] The current monitoring coefficients Jdl1 to Jdl10 of each line are used as the current test data of each line.

[0128] Then, a voltage test is performed on the L1 line at a randomly selected voltage monitoring time point to obtain the voltage vector deviation Yv1 and the voltage average deviation Yd1.

[0129] Likewise, perform a voltage test on the L2 to L10 lines.

[0130] Based on the above data, the voltage monitoring coefficients Jyl1 to Jyl10 of each line are calculated.

[0131] The voltage monitoring coefficients Jyl1 to Jyl10 of each line are used as voltage test data.

[0132] Next, Jdl1 and Jyl1 of the L1 line are compared with the preset current monitoring coefficient threshold and voltage monitoring coefficient threshold to determine whether the line is abnormal. When the current test data is greater than the preset current monitoring coefficient threshold and the voltage test data is greater than the preset voltage monitoring coefficient threshold, the abnormal monitoring code is marked as the first code, that is, the abnormal monitoring code is FF; when the current test data is greater than the preset current monitoring coefficient threshold and the voltage test data is less than or equal to the preset voltage monitoring coefficient threshold, the abnormal monitoring code is marked as the second code, that is, the abnormal monitoring code is FT; when the current test data is less than or equal to the preset current monitoring coefficient threshold and the voltage test data is greater than the preset voltage monitoring coefficient threshold, the abnormal monitoring code is marked as the third code, that is, the abnormal monitoring code is TF; when the current test data is less than or equal to the preset current monitoring coefficient threshold and the voltage test data is less than or equal to the preset voltage monitoring coefficient threshold, the abnormal monitoring code is marked as the fourth code, that is, the abnormal monitoring code is TT.

[0133] The same process as above is performed on the L2 to L10 lines.

[0134] According to the coding rules FF, FT, TF, and TT, the line types of lines L1 to L10 are marked to generate line anomaly classification data.

[0135] Assuming that the L5 line is marked as having an abnormality (eg, code FF), multiple pulse test points will be selected in the L5 line.

[0136] A test pulse is transmitted between two adjacent pulse test points on the L5 line, and the pulse reflection intensity and propagation time are monitored and compared with the pulse reflection intensity threshold to determine whether there is a line abnormality.

[0137] Use the formula to calculate the distance between the anomaly point and the pulse test point.

[0138] The distance information and the abnormal point type are packaged together as the location data of the line abnormal point, and the warning information is issued.

[0139] The specific instructions are as follows:

[0140] Assume that the current monitoring coefficient Jdl5 of the L5 line exceeds the current monitoring coefficient threshold, and the voltage monitoring coefficient Jyl5 also exceeds the voltage monitoring coefficient threshold, and is marked as FF code.

[0141] Five pulse test points were selected on the L5 line: P1, P2, P3, P4, and P5.

[0142] A test pulse is transmitted between P1 and P2. The pulse intensity received by P2 is lower than that transmitted by P1, and the pulse reflection intensity exceeds the threshold, indicating that there is an abnormality in the line between P1 and P2. Through calculation, the distance between the abnormal point and P1 is 50 meters, that is, the fault distance is 50 meters.

[0143] Generate location data of abnormal points on the lines including P1, P2 and 50 meters away from the fault, and send warning information to maintenance personnel through the server, marking that the L5 line has comprehensive current and voltage anomalies and needs to be checked immediately.

[0144] The above specific examples demonstrate the process of detecting and locating fault points in the power monitoring line of the present application. First, the current test data of multiple power monitoring lines marked at the substation plant end are obtained, wherein the current test data include the current monitoring coefficient of each power monitoring line, and the current monitoring coefficient is related to the average current value of the line, the current vector deviation and the line monitoring current variance; then, the voltage test data of multiple power monitoring lines marked at the substation plant end are obtained, wherein the voltage test data include the voltage monitoring coefficient of each power monitoring line, and the voltage monitoring coefficient is related to the voltage vector deviation and the voltage average deviation; then, according to the current test data and the voltage test data, each power monitoring line is monitored for abnormalities to obtain line abnormality classification data; finally, according to the line abnormality classification data, the line abnormal point is located to obtain the position data of the line abnormal point, and the line abnormality warning is issued, thereby solving the problem that it is difficult for the prior art to simultaneously locate faults at multiple test abnormal locations, resulting in low acceptance efficiency.

[0145] The present application also provides an acceptance test system for a substation. Figure 4 As shown, including:

[0146] The current data module is used to obtain the line average current value, current vector deviation and line monitoring current variance of each power monitoring line marked at the substation plant end, and obtain the current monitoring coefficient of each power monitoring line based on the above-mentioned line average current value, the above-mentioned current vector deviation and the above-mentioned line monitoring current variance analysis, and determine the above-mentioned current monitoring coefficient as current test data.

[0147] Specifically, the current data module is responsible for acquiring and analyzing the current-related data of the power monitoring line to evaluate the current status of the line. At the substation plant end, the current data module will first mark multiple power monitoring lines, which are key paths for transmitting and distributing electric energy in the substation, and may include equipment such as transformers, relays, and capacitors. For each marked power monitoring line, the module will collect three key current data points: the average current value of the line, the current vector deviation, and the line monitoring current variance. These data points reflect the current status of the power line during the monitoring period, including the average current value, the phase balance of the current, and the stability of the current fluctuation. Based on the collected line average current value, current vector deviation, and line monitoring current variance, the current data module will further analyze and calculate the current monitoring coefficient of each power monitoring line. The current monitoring coefficient is a comprehensive indicator used to quantitatively evaluate whether the current status of the power line is normal and whether there are abnormalities or potential faults. Finally, the current data module determines the calculated current monitoring coefficient as the current test data, that is, the current monitoring coefficient will be the main output of the module for subsequent line abnormality classification and fault location processes. The current test data reflects the current health status of all power monitoring lines and is an important basis for the acceptance test system to determine whether the power lines meet the standards and whether there are any faults.

[0148] The function of the current data module is the basis and key step in the entire acceptance test system. It can provide detailed evaluation data on the current of the power line, which helps the system to comprehensively monitor and identify possible problems in the power line, thereby ensuring the safe and stable operation of the power system. By calculating the current monitoring coefficient, the system can quantitatively analyze the current status of the power line. This data analysis method is more accurate and reliable than traditional qualitative evaluation, and can effectively improve the efficiency and accuracy of fault detection.

[0149] The voltage data module is used to obtain the voltage vector deviation and the voltage average deviation corresponding to each of the above-mentioned power monitoring lines according to the above-mentioned current test data, and obtain the voltage monitoring coefficient of each of the above-mentioned power monitoring lines based on the above-mentioned voltage vector deviation and the above-mentioned voltage average deviation analysis, and determine the above-mentioned voltage monitoring coefficient as the voltage test data.

[0150] Specifically, the voltage data module is responsible for analyzing the voltage characteristics of the power monitoring line to evaluate the voltage status of the line. When the power monitoring line is voltage tested, the voltage data module obtains the three-phase voltage values ​​at multiple voltage monitoring time points and calculates the absolute value of the three-phase voltage vector sum by vector summation. The voltage vector deviation reflects the degree of imbalance between the three-phase voltages in the power monitoring line. The larger the value, the greater the difference in the three-phase voltages, and there may be line or equipment problems. This step is based on the basic principle of the three-phase system, that is, ideally, the three-phase voltages should be balanced, and any imbalance may indicate a fault or abnormality. The voltage data module also calculates the average voltage deviation of the power monitoring line, which involves the voltage values ​​of the high-voltage and low-voltage sides of the line at the voltage monitoring time point, as well as the preset voltage value (target conversion voltage). The average voltage deviation is to evaluate the voltage conversion efficiency and stability of the power line by calculating the deviation between the actual voltage and the preset voltage. If the deviation is large, it may mean that there is a fault in the voltage conversion equipment or line, affecting the normal operation of the power system. The voltage data module takes the calculated voltage vector deviation and voltage average deviation as input, and obtains the voltage monitoring coefficient of each power monitoring line through a specific formula analysis. The voltage monitoring coefficient is a comprehensive indicator that combines the voltage vector deviation and the voltage average deviation to quantitatively evaluate the voltage status of the power line. A higher voltage monitoring coefficient may indicate a voltage problem and require further inspection or maintenance. Finally, the voltage data module will determine the analyzed voltage monitoring coefficient as voltage test data, that is, the voltage monitoring coefficient will be used as the output of the module for subsequent line anomaly classification and fault location process. Voltage test data is an important basis for comprehensively evaluating the voltage health status of power lines in the acceptance test system, and can help the system identify and classify possible voltage anomalies or faults.

[0151] The line abnormality module is used to perform abnormality monitoring on each of the above-mentioned power monitoring lines according to the above-mentioned current test data and the above-mentioned voltage test data, and obtain line abnormality classification data.

[0152] Specifically, the line anomaly module is responsible for comprehensive analysis of the current and voltage status of the power monitoring line in the acceptance test system at the substation plant to identify and classify potential line anomalies. The role of the line anomaly module is to convert current and voltage test data into actionable anomaly classification information, so that maintenance personnel can quickly understand the status of each power monitoring line and take appropriate maintenance measures. By taking into account current and voltage anomalies, the system can more accurately identify and locate faults.

[0153] Specifically, the line abnormality module first receives current test data and voltage test data from the current data module and the voltage data module. The current test data includes the current monitoring coefficient of each power monitoring line, and the voltage test data includes the voltage monitoring coefficient of each power monitoring line. These coefficients are calculated based on the current and voltage characteristics of the line and reflect the health status of the line in power transmission. The line abnormality module compares the current monitoring coefficient with the preset current monitoring coefficient threshold. Similarly, the voltage monitoring coefficient is also compared with the preset voltage monitoring coefficient threshold. According to the comparison results, each power monitoring line will be marked as one of the four states, corresponding to the first code (FF), the second code (FT), the third code (TF) or the fourth code (TT), which represent the abnormal state of the line in the two dimensions of current and voltage: FF code: Both the current monitoring coefficient and the voltage monitoring coefficient exceed the threshold, indicating that the line has serious abnormalities in both current and voltage. FT code: The current monitoring coefficient exceeds the threshold but the voltage monitoring coefficient does not exceed the threshold, which may indicate a current problem, such as overload or imbalance, but the voltage state is acceptable. TF coding: The current monitoring coefficient does not exceed the threshold but the voltage monitoring coefficient exceeds it, which may mean that there are problems with voltage conversion or stability, but the current status is normal. TT coding: Neither the current nor the voltage monitoring coefficient exceeds their respective thresholds, the line is in a normal state, and there are no obvious current or voltage anomalies. Based on the above abnormal monitoring and coding markings, the line abnormality module will generate line abnormality classification data, which records the abnormal status of each power monitoring line in detail, facilitating subsequent fault location and processing. By combining current and voltage test data for abnormal monitoring, the system can more comprehensively evaluate the operating status of the power line and avoid missing any possible fault points.

[0154] The fault location module is used to locate the abnormal point of the line according to the abnormal classification data of the line, obtain the position data of the abnormal point of the line, and issue a line abnormality warning.

[0155] Specifically, the fault location module mainly determines the specific fault point in the power line based on the line anomaly classification data generated by the line anomaly module, and issues warning information accordingly. The working principle of the fault location module relies on pulse reflection test technology and comprehensive analysis of current and voltage data. It can locate the fault point in the power line and provide maintenance personnel with real-time and accurate fault information.

[0156] Specifically, the fault location module first receives the line anomaly classification data from the line anomaly module. These data record the abnormal status of each power monitoring line in detail, including whether there is current or voltage anomaly, and the specific type of anomaly (such as code FF, FT, TF or TT). Through this information, the fault location module can determine which lines require further fault location inspection. For the first type of power monitoring line marked as a line with current or voltage anomaly, the fault location module will select multiple pulse test points in the line, which are used to transmit and receive pulse signals to detect the continuity and performance of the line. By comparing the intensity and time difference between the transmitted pulse and the received pulse, and detecting the returned pulse, the module can determine whether the pulse encounters impedance changes during transmission, thereby judging whether there is a line abnormality. If there is an abnormality, the module will further calculate the distance between the abnormal point and the test point. The fault location module will generate the location data of the line abnormal point based on the distance. These data include the exact location information of the abnormal point, such as the relative distance between the abnormal point and the first pulse test point, and the specific location description of the abnormal point in the power line. Once the fault location module determines the location of the line abnormal point, it will immediately issue a line abnormality warning. The warning information usually contains the name of the faulty line, the location of the abnormal point, the type of abnormality (current abnormality, voltage abnormality or both), and the possible cause of the fault. The issuance of the warning can notify maintenance personnel in a timely manner, enabling them to respond quickly and take measures to deal with the fault, avoiding potential safety risks and operational problems in the power system.

[0157] The acceptance test system for the substation plant also includes a server, such as Figure 4 As shown, as the information processing and control center of the entire system, the server receives all test data and abnormal information from the current data module, voltage data module, line abnormality module and fault location module, conducts comprehensive analysis and processing, generates early warning information, and can store all test records and abnormal data. Once the server receives this data, it can send instructions or parameters to each module, such as updating the monitoring threshold, adjusting the test frequency, or requiring the module to retest to obtain more accurate data or respond to changing environmental conditions.

[0158] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. An acceptance test method for a substation, characterized in that: include: Acquire current test data of multiple power monitoring lines marked at the substation plant end, wherein the current test data includes a current monitoring coefficient of each of the power monitoring lines, and the current monitoring coefficient is related to the line average current value, the current vector deviation, and the line monitoring current variance; Obtaining voltage test data of the plurality of power monitoring lines marked at the substation plant end, wherein the voltage test data includes a voltage monitoring coefficient of each of the power monitoring lines, and the voltage monitoring coefficient is related to a voltage vector deviation and a voltage average deviation; According to the current test data and the voltage test data, each of the power monitoring lines is monitored for abnormalities to obtain line abnormality classification data; According to the line abnormality classification data, the line abnormality point is located, the position data of the line abnormality point is obtained, and a line abnormality warning is issued.

2. The method according to claim 1, characterized in that: The current monitoring coefficient in the current test data of the plurality of power monitoring lines marked at the substation plant end is obtained, including: The current monitoring coefficient is calculated using the formula Jdl=|Lp-Ls|+Lc+Sl, wherein Jdl is the current monitoring coefficient, Lp is the average current value of the line, Ls is the upper limit of the reference current or the lower limit of the reference current, Lc is the variance of the line monitoring current, and Sl is the current vector deviation.

3. The method according to claim 1, characterized in that Before obtaining the current monitoring coefficient in the current test data of the plurality of power monitoring lines marked at the substation plant end, the method further includes: For each of the power monitoring lines, an average value of all monitored current values ​​within a current monitoring period is obtained, and the average value is determined as an average current value of the line; In the current monitoring period, multiple current monitoring time points are selected, and multiple three-phase current vector sums of the power monitoring line are obtained at each current monitoring time point, the values ​​of the multiple three-phase current vector sums are compared, and the three-phase current vector sum with the largest value is determined as the current vector deviation; The variance of all the monitored current values ​​within the current monitoring period is calculated, and the variance of the monitored current values ​​is determined as the line monitoring current variance.

4. The method according to claim 3, characterized in that Acquiring a plurality of three-phase current vector sums of the power monitoring line at each current monitoring time point, including: In the power monitoring circuit, a phase angle is randomly selected as a first reference phase angle, and a current value of a first conductor at the first reference phase angle at the current monitoring time point is obtained to obtain a first phase current value; Acquire a phase angle that differs from the first reference phase angle in a positive direction by a first characteristic angle as a first deviation phase angle, acquire a current value of the second conductor corresponding to the first deviation phase angle at the current monitoring time point, and obtain a second phase current value; Acquire a phase angle that differs from the first reference phase angle in a positive direction by a second characteristic angle as a second deviation phase angle, acquire a current value of a third conductor corresponding to the second deviation phase angle at the current monitoring time point, and obtain a third phase current value; Performing vector summation on the first phase current value, the second phase current value, and the third phase current value to obtain a first vector sum, and taking an absolute value of the first vector sum to obtain the three-phase current vector sum corresponding to the current monitoring time point; The three-phase current vector sums corresponding to all the current monitoring time points are obtained to obtain a plurality of the three-phase current vector sums.

5. The method according to claim 1, characterized in that Obtaining the voltage monitoring coefficient in the voltage test data of the plurality of power monitoring lines marked at the substation plant end includes: The voltage monitoring coefficient is calculated using the formula Jyl=Ysc+Yp, wherein Jyl is the voltage monitoring coefficient, Ysc is the voltage average deviation, and Yp is the voltage vector deviation.

6. The method according to claim 1, characterized in that Before obtaining the voltage monitoring coefficient in the voltage test data of the plurality of power monitoring lines marked at the substation plant end, the method further includes: For each of the power monitoring lines, multiple voltage monitoring time points are selected, multiple three-phase voltage vector sums are obtained at each of the voltage monitoring time points, the values ​​of the multiple three-phase voltage vector sums are compared, and the three-phase voltage vector sum with the largest value is determined as the voltage vector deviation; Obtain a first actual voltage value of the high voltage side of the power monitoring line at the voltage monitoring time point, a second actual voltage value of the low voltage side of the power monitoring line at the voltage monitoring time point, a first preset voltage value of the high voltage side of the power monitoring line at the voltage monitoring time point, and a second preset voltage value of the low voltage side of the power monitoring line at the voltage monitoring time point; The voltage achievement deviation is calculated using the formula Ypy=|Gy1-Gy2+Dy1-Dy2|, wherein Ypy is the voltage achievement deviation, Gy1 is the first actual voltage value, Gy2 is the second actual voltage value, Dy1 is the first preset voltage value, and Dy2 is the second preset voltage value; All the voltage achievement deviations of each of the power monitoring lines are averaged to obtain the voltage average achievement deviation corresponding to each of the power monitoring lines.

7. The method according to claim 6, characterized in that Acquiring a plurality of three-phase voltage vector sums at each of the voltage monitoring time points includes: In the power monitoring line, a phase angle is randomly selected as a second reference phase angle, and a voltage value of a conductor at the second reference phase angle at the voltage monitoring time point is obtained to obtain a first phase voltage value; Obtaining a phase angle that differs from the second reference phase angle in a positive direction by a third characteristic angle as a third deviation phase angle, obtaining a voltage value of the conductor at the third deviation phase angle corresponding to the voltage monitoring time point, and obtaining a second phase voltage value; Acquire a phase angle that differs from the second reference phase angle in a positive direction by a fourth characteristic angle as a fourth deviation phase angle, acquire a voltage value of the conductor at the fourth deviation phase angle at the voltage monitoring time point, and obtain a third phase voltage value; Performing vector summation on the first phase voltage value, the second phase voltage value, and the third phase voltage value to obtain a second vector sum, and taking an absolute value of the second vector sum to obtain the three-phase voltage vector sum corresponding to the voltage monitoring time point; The three-phase voltage vector sums corresponding to all the voltage monitoring time points are obtained to obtain a plurality of the three-phase voltage vector sums.

8. The method according to claim 1, characterized in that According to the current test data and the voltage test data, each of the power monitoring lines is monitored for abnormalities to obtain line abnormality classification data, including: Compare the current test data of each power monitoring line with a preset current monitoring coefficient threshold, and compare the voltage test data of each power monitoring line with a preset voltage monitoring coefficient threshold; In the case where the current test data is greater than the preset current monitoring coefficient threshold and the voltage test data is greater than the preset voltage monitoring coefficient threshold, marking the abnormal monitoring code as the first code; In the case where the current test data is greater than the preset current monitoring coefficient threshold and the voltage test data is less than or equal to the preset voltage monitoring coefficient threshold, marking the abnormal monitoring code as a second code; When the current test data is less than or equal to the preset current monitoring coefficient threshold and the voltage test data is greater than the preset voltage monitoring coefficient threshold, marking the abnormal monitoring code as a third code; When the current test data is less than or equal to the preset current monitoring coefficient threshold and the voltage test data is less than or equal to the preset voltage monitoring coefficient threshold, marking the abnormal monitoring code as a fourth code; The first code, the second code, the third code and the fourth code of each of the power monitoring lines are aggregated to form the line abnormality classification data.

9. The method according to claim 1, characterized in that: According to the line abnormality classification data, the line abnormality point is located to obtain the position data of the line abnormality point, including: In the case where a preset code exists in the abnormal classification data of the power monitoring line, marking the power monitoring line as a first type of power monitoring line; Select multiple pulse test points on the first type of power monitoring line, transmit a first test pulse from a first pulse test point to a second pulse test point, and simultaneously record the first pulse intensity at the transmitting time and the second pulse intensity at the receiving time, as well as the transmitting time and the receiving time; Acquire the first pulse test point to receive a second test pulse returned from an abnormal point in the line, and record the intensity of the second test pulse and the arrival time of the second test pulse; When the first pulse intensity is inconsistent with the second pulse intensity, or the intensity of the second test pulse is greater than a preset intensity threshold, determining that the line abnormal point exists in the line area between the first pulse test point and the second pulse test point; Calculate the distance between the line abnormal point and the first pulse test point according to the difference between the transmission time and the reception time and the propagation speed of the first test pulse, and determine the distance as the fault distance; The first pulse test point, the second pulse test point and the fault distance are determined as the position data of the line abnormal point.

10. An acceptance test system for a substation, characterized in that: include: A current data module is used to obtain the line average current value, current vector deviation and line monitoring current variance of each power monitoring line marked at the substation plant end, and obtain the current monitoring coefficient of each power monitoring line based on the line average current value, the current vector deviation and the line monitoring current variance analysis, and determine the current monitoring coefficient as current test data; A voltage data module, used to obtain the voltage vector deviation and the voltage average deviation corresponding to each of the power monitoring lines according to the current test data, and obtain the voltage monitoring coefficient of each of the power monitoring lines based on the voltage vector deviation and the voltage average deviation, and determine the voltage monitoring coefficient as the voltage test data; A line abnormality module, used to perform abnormality monitoring on each of the power monitoring lines according to the current test data and the voltage test data, and obtain line abnormality classification data; The fault location module is used to locate the line abnormal point according to the line abnormality classification data, obtain the position data of the line abnormal point, and issue a line abnormality warning.

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