Measurement and control device fault identification method and system

Abstract

The invention discloses a fault identification method and system for a measurement and control device. The method comprises the following steps: respectively calculating a main transformer side active total sum absolute value P1x, a line side active total sum absolute value P2x and a relative deviation PRSDx of the active total sum of each voltage grade x; by monitoring the data change condition of each telemetering point in the target substation, analyzing whether each interval telemetering data has a constant and non-refreshing state or not; when the relative deviation PRSDx of the active sum is greater than a set deviation value, carrying out the following state recognition: if P1x is less than P2x, inquiring an analysis result of each interval telemetering data at the line side of the x voltage level, and if the interval telemetering data has a constant and non-refreshing state, judging that the interval measurement and control device has a fault; and if P1x is greater than P2x, querying an analysis result of each interval telemetering data at the main transformer side of the x voltage level, and if the interval telemetering data has a constant and non-refresh state, judging that the interval measurement and control device has a fault. According to the invention, rapid and accurate identification of the fault measurement and control device can be realized.

Description

Technical Field

[0001] The present invention relates to the technical field of substation equipment detection, and particularly to a method and system for fault identification of a measurement and control device. Background Art

[0002] As an important intelligent electronic device in a substation, a measurement and control device has functions such as electrical quantity acquisition, switch quantity acquisition, control output, anti-misoperation interlocking, etc., and realizes the monitoring information interaction between the substation and the master station system. If the measurement and control device fails, the monitoring information of the device cannot be sent to the master station system end, resulting in the loss of monitoring of the device and directly affecting the safe, stable and reliable operation of the power grid. Therefore, it is very necessary to identify the faults of the measurement and control device at the master station system end.

[0003] At present, the fault identification of the operation state of the measurement and control device at the master station system end is roughly divided into the following three types of methods:

[0004] The first type of method is to identify the fault state by monitoring the hard contact alarm information sent by the measurement and control device; however, when the measurement and control device has internal program faults, communication module anomalies or is in a dead state, etc., it cannot upload the monitoring and fault information to the master station system end, resulting in the master station system end being unable to identify the operation state of the measurement and control device, and at the same time causing the loss of monitoring of the devices in the interval where the measurement and control device is located. Therefore, using this type of method has security risks such as information interruption, and cannot accurately identify the faulty measurement and control device, affecting the safe operation of the power system.

[0005] The second type of method is to screen out the intervals with abnormal data through bus power balance calculation and determine that there is a fault in the measurement and control device in this interval. Although through the measurement power balance analysis, it can quickly identify the bad telemetry data, so as to screen out the intervals with abnormal data and determine that there is a fault in the measurement and control device in this interval; however, this method only performs fault determination through power balance calculation and based on a fixed threshold, and the determination method is relatively single, and the identification effect is poor.

[0006] The third type of method is to evaluate whether the measurement and control device has failed by monitoring the change and refresh situation of a single telemetry quantity; due to the large amount of telemetry data in the interval and the situation that some data changes and refreshes slowly, by monitoring the change and refresh situation of a single telemetry quantity at the master station system end, when the telemetry data in the interval changes slowly (for example, when the line load is stable for a long time) or there are jumps, this type of method cannot timely and accurately identify the faulty measurement and control device, and it is easy to have false alarms and missed alarms.

[0007] Therefore, there is an urgent need for a method for fault identification of a measurement and control device with fast identification speed and high accuracy, so that after the measurement and control device fails, it can quickly and accurately send out an alarm message, so that the monitoring personnel can timely locate the faulty measurement and control device and carry out fault handling to ensure the safe and reliable operation of the power grid. Summary of the Invention

[0008] To solve the deficiencies existing in the prior art, the present invention provides a method and system for fault identification of a measurement and control device, which can quickly and accurately identify a faulty measurement and control device by monitoring and fusing multi-source data.

[0009] The present invention adopts the following technical solutions.

[0010] In a first aspect, the present invention provides a method for fault identification of a measurement and control device, the method comprising:

[0011] According to the active power of each main transformer side and each line side in the target substation collected, calculate the absolute value of the total active power addition |P 1x |, the absolute value of the total active power addition |P 2x | and the relative deviation P RSDx of the total active power addition for each voltage level x;

[0012] By monitoring the data change situation of each remote measurement point in the target substation, analyze whether there is a non-changing and non-refreshing state in the remote measurement data of each interval;

[0013] When the relative deviation P RSDx of the total active power addition is greater than the set deviation value, the following state identification is performed:

[0014] If |P 1x | < |P 2x |, query the analysis results of the remote measurement data of each interval on the line side of the x voltage level. If there is a non-changing and non-refreshing state in the remote measurement data of an interval, it is determined that the measurement and control device of this interval is faulty;

[0015] If |P 1x | > |P 2x |, query the analysis results of the remote measurement data of each interval on the main transformer side of the x voltage level. If there is a non-changing and non-refreshing state in the remote measurement data of an interval, it is determined that the measurement and control device of this interval is faulty.

[0016] Optionally, each voltage level x includes high voltage, medium voltage and low voltage.

[0017] Optionally, the calculation formulas for the absolute value of the total active power addition |P 1x | and the absolute value of the total active power addition |P 2x | on the main transformer side are as follows:

[0018]

[0019]

[0020] In the formula, is the active power on the x-voltage side of the i-th main transformer, and N is the total number of main transformers in the target substation; is the active power of the j-th line on the x-voltage side of the target substation; M is the total number of x-voltage lines in the target substation.

[0021] Optionally, the relative deviation P of the total active power addition RSDx is calculated as follows:

[0022]

[0023] In the formula, P RSDx is the relative deviation of the total active power addition on the x-voltage side, is the absolute value of the total active power addition on the main transformer side of the x-voltage level |P 1x | and the absolute value of the total active power addition on the line side |P 2x |.

[0024] Optionally, the step of analyzing whether there is a non-changing and non-refreshing state in the telemetry data of each interval includes:

[0025] According to the change situation of the data of each monitored telemetry point, count the time when the telemetry data does not change, and mark the telemetry data that has not changed within the set duration as non-changing telemetry data;

[0026] Respectively count the number of non-changing telemetry data in each interval and the total number of all telemetry data in each interval;

[0027] If the ratio of the number of non-changing telemetry data in the interval to the total number of its telemetry data is not less than the set ratio, it is determined that there is a non-changing and non-refreshing state in the telemetry data of this interval.

[0028] Optionally, if |P 1x | = |P 2x | or P RSDx is not greater than the set deviation value, it indicates that the total active power addition on the x-voltage side of the target substation is balanced, and the corresponding measurement and control devices are all operating normally.

[0029] In a second aspect, the present invention provides a measurement and control device fault identification system that operates according to the steps of any one of the first aspects of the present invention. The system includes:

[0030] A power calculation module for calculating the absolute value of the total active power addition on the main transformer side of each voltage level x |P 1x |, the absolute value of the total active power addition on the line side |P 2x | and the relative deviation P of the total active power addition according to the active power of each main transformer side and each line side collected in the target substation RSDx ;

[0031] A telemetry data analysis module, which is used to analyze whether there is a non-changing and non-refreshing state in the telemetry data of each interval by monitoring the data changes of each telemetry point in the target substation;

[0032] A fault identification module, which is used to perform the following state identification when the relative deviation P of the total active power addition RSDx is greater than the set deviation value:

[0033] If |P 1x | < |P 2x |, then query the analysis results of the telemetry data of each interval on the line side of the x voltage level. If there is a non-changing and non-refreshing state in the telemetry data of an interval, it is determined that the measurement and control device of this interval has a fault;

[0034] If |P 1x | > |P 2x |, then query the analysis results of the telemetry data of each interval on the main transformer side of the x voltage level. If there is a non-changing and non-refreshing state in the telemetry data of an interval, it is determined that the measurement and control device of this interval has a fault.

[0035] Combined with the second aspect, optionally, the telemetry data analysis module includes:

[0036] A marking unit, which is used to count the time when the telemetry data does not change according to the monitored data changes of each telemetry point, and mark the telemetry data that has not changed within the set time as non-changing telemetry data;

[0037] A statistical unit, which is used to respectively count the number of non-changing telemetry data in each interval and the total number of all telemetry data in each interval;

[0038] A determination unit, which is used to determine that there is a non-changing and non-refreshing state in the telemetry data of this interval if the ratio of the number of non-changing telemetry data in the interval to the total number of its telemetry data is not less than the set proportion.

[0039] In the third aspect, the present invention provides a terminal, including a processor and a storage medium;

[0040] The storage medium is used to store instructions;

[0041] The processor is used to operate according to the instructions to execute the steps of the method described in any one of the first aspects of the present invention.

[0042] In the fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the method described in any one of the first aspects of the present invention are implemented.

[0043] The beneficial effects of the present invention are as follows. Compared with the prior art:

[0044] 1. The present invention is at the monitoring data level of the entire substation on the main station system side. Through multi-source data fusion, based on the active power total addition balance calculation, using the relative deviation of the active power total addition as the identification index, it effectively avoids the misjudgment problem caused by the traditional method using a fixed threshold calibration method, and improves the accuracy of fault identification.

[0045] 2. The present invention analyzes the refresh status of the interval telemetry data, counts the number of unchanged and non-refreshed telemetry data, and proposes a determination method for the unchanged and non-refreshed status of the entire interval telemetry data, realizing the accurate identification of the interval telemetry data refresh status.

[0046] 3. Based on the active power deviation calculation and the statistics of unchanged and non-refreshed telemetry data, the present invention proposes a comprehensive method for identifying the faults of the measurement and control device based on the dual criteria of the relative deviation of the active power total addition and the refresh status of the telemetry data. Compared with the traditional method that only judges the conventional bus power balance calculation, the present invention introduces the relative deviation index of the active power total addition, designs the criteria for monitoring the status of the telemetry data, realizes the transition from single data verification to multi-source status fusion, expands the dimension of the fault monitoring of the measurement and control device, effectively avoids the occurrence of false alarms and missed alarms, improves the accuracy and efficiency of fault identification, and provides a more reliable solution for the fault diagnosis of the measurement and control device in power production. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 is a schematic flow chart of the method for identifying the faults of the measurement and control device in the present invention;

[0048] Figure 2 is a block diagram of the structural principle of the system for the method of identifying the faults of the measurement and control device in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0049] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. The embodiments described in the present invention are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the spirit of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the protection scope of the present invention.

[0050] Embodiment 1:

[0051] Refer to Figure 1 , the embodiment of the present invention provides a method for identifying the faults of the measurement and control device. The method mainly includes three parts: calculation of the relative deviation of the active power total addition, analysis of the telemetry refresh status, and fault identification based on dual criteria. The specific steps are as follows:

[0052] Step 1: According to the active power of each main transformer side and each line side in the target substation collected, calculate the absolute value of the total active power addition |P 1x | of the main transformer side, the absolute value of the total active power addition |P 2x | of the line side, and the relative deviation P RSDx of the total active power addition; where each voltage level x includes high voltage, medium voltage and low voltage;

[0053] Specifically, the calculation formulas for the absolute value of the total active power addition |P 1x | of the main transformer side and the absolute value of the total active power addition |P 2x | of the line side are as follows respectively:

[0054]

[0055]

[0056] In the formula, is the active power of the i-th main transformer side at voltage level x, and N is the total number of main transformers in the target substation; is the active power of the j-th line at voltage level x in the target substation; M is the total number of lines at voltage level x in the target substation.

[0057] The calculation formula for the relative deviation P RSDx of the total active power addition is as follows:

[0058]

[0059] In the formula, P RSDx is the relative deviation of the total active power addition at voltage level x, is the average value of the absolute value of the total active power addition |P 1x | of the main transformer side and the absolute value of the total active power addition |P 2x | of the line side at voltage level x.

[0060] Step 2: By monitoring the data change situation of each remote measurement point in the target substation, analyze whether there is an unchanged and unrefreshed state in the remote measurement data of each interval;

[0061] As an embodiment of the present invention, the steps of analyzing whether there is an unchanged and unrefreshed state in the remote measurement data of each interval include:

[0062] S2.1. According to the data change situation of each monitored remote measurement point, count the time when each remote measurement data does not change, and mark the remote measurement data that has not changed within the set duration as unchanged remote measurement data;

[0063] Preferably, the set duration in this embodiment is 180s, that is, one remote measurement cycle.

[0064] S2.2. Respectively count the quantity of the unchanged telemetry data for each interval and the total quantity of all the telemetry data for each interval;

[0065] S2.3. If the ratio of the quantity of the unchanged telemetry data within the interval to the total quantity of its telemetry data is not less than the set proportion, it is determined that there is an unchanged and non-refreshed state for the telemetry data of this interval.

[0066] Preferably, the set proportion in this embodiment is 90%.

[0067] Step 3: When the relative deviation P of the total active power addition RSDx is greater than the set deviation value, the following state identification is performed:

[0068] If |P 1x | < |P 2x |, query the analysis results of the telemetry data for each interval on the line side of the x voltage level. If there is an unchanged and non-refreshed state for the telemetry data of an interval, it is determined that the measuring and controlling device of this interval has a fault;

[0069] If |P 1x | > |P 2x |, query the analysis results of the telemetry data for each interval on the main transformer side of the x voltage level. If there is an unchanged and non-refreshed state for the telemetry data of an interval, it is determined that the measuring and controlling device of this interval has a fault.

[0070] Furthermore, before performing the fault identification in Step 3 of the present invention, non-fault scenarios (such as load balance) are filtered through the total active power addition deviation, that is: if |P 1x | = |P 2x | or P RSDx is not greater than the set deviation value, it indicates that the total active power addition on the x voltage level side of the target substation is balanced, and the corresponding measuring and controlling devices are all operating normally.

[0071] In a preferred but non-limiting embodiment, the value of the above set deviation value is 5%,

[0072] Next, taking the high-voltage side of the main transformer as an example, the specific implementation process of the measuring and controlling device fault identification method provided by the present invention is further introduced as follows.

[0073] (1) Calculation of the relative deviation of the total active power addition

[0074] 1) Calculation of the total active power addition on the main transformer side: P 11 = P 111 + P 112 + P 113 + P 114 +....+ P 11N

[0075] Calculate the total active power addition P of the high-voltage side of the main transformer at the main station system end11 , the calculation method is to extract the active power P of the high-voltage side of Main Transformer #1 111 , the active power P of the high-voltage side of Main Transformer #2 112 , the active power P of the high-voltage side of Main Transformer #3 113 , the active power P of the high-voltage side of Main Transformer #4 114 ... the active power P of the high-voltage side of Main Transformer #N 11N and other active power values of the high-voltage sides of all main transformers, and perform a total addition calculation of active power to obtain P 11 ; Similarly, the total addition of active power on the medium-voltage side P 12 and the total addition of active power on the low-voltage side P 13 can be calculated.

[0076] 2) Calculation of the total addition of active power on the line side: P 21 = P 211 + P 212 + P 213 + P 214 +....P 21M

[0077] Calculate the total addition of active power of the main transformer high-voltage side line at the master station system end 21 , and the calculation method is to extract the active power P of Line 1 211 , the active power P of Line 2 212 , the active power P of Line 3 213 , the active power P of Line 4 214 ... the active power P of Line M 21M and other active power values of all lines on the high-voltage side of the main transformer, and perform a total addition calculation of active power to obtain P 21 ; Similarly, the total addition of active power of the medium-voltage side line P 22 and the total addition of active power of the low-voltage side line P 23 can be calculated.

[0078] 3) Calculation of the relative deviation of active power

[0079] Calculate the average value of the total addition of active power of the main transformer high-voltage side and the total addition of active power of the line

[0080]

[0081] Calculate the relative deviation P of the total addition of active power on the high-voltage side through the following formula RSD1 :

[0082]

[0083] Similarly, the relative deviations of the total addition of active power of the main transformer medium-voltage side and low-voltage side can be calculated as P RSD2 and P RSD3 respectively.

[0084] (2) Analysis of the interval telemetry data brush

[0085] The master station system monitors the data changes of a single telemetry point in the substation and counts the time when the telemetry data does not change. If the telemetry data does not change for ≥180 seconds, it is marked as unchanged telemetry data.

[0086] Count the number of unchanged telemetry data in a single interval C1 and the total number of all telemetry data in the interval C. If the number of unchanged telemetry data is greater than 90% of the total number of telemetry data, that is, C1 ≥ 90% C, then it is determined that the telemetry data in this interval does not change and is not refreshed.

[0087] (3) Dual-judgment fault identification of measurement and control devices

[0088] 1) At the master station system end, according to the substation operation mode and the live topology, taking the high-voltage side of the main transformer as an example, calculate the total absolute value of the active power on the high-voltage side of the main transformer |P 11 | and the total absolute value of active power on the line side |P 21 |, and the relative deviation between the total active power of each side of the main transformer and the total active power of each line on the busbar. If |P 11 |=|P 21 | or P RSD1 If the relative deviation is less than or equal to 5%, it means that the total active power on the high-voltage side of the main transformer is balanced and the measurement and control device is operating normally;

[0089] 2) If P RSD1 If the relative deviation is greater than 5%, the following determination is made:

[0090] ①If |P 11 |<|P 21 |, indicating that the active data on the high-voltage line side of the main transformer is abnormal. Query the analysis results of the interval telemetry data on the high-voltage line side of the main transformer that does not change or refresh. If there is a situation where the telemetry data of a certain interval does not change or refresh, it means that the measurement and control device of this interval on the high-voltage line side of the main transformer is faulty. At the same time, an alarm message is issued for the interval where the measurement and control device fails;

[0091] ②If |P 11 |>|P 21 |, indicating that the active data on the high-voltage side of the main transformer is abnormal. The analysis results of the unchanged and unrefreshed telemetry data of each interval on the high-voltage side of the main transformer are queried. If the telemetry data of a certain interval does not change or refresh, it means that the measurement and control device of this interval on the high-voltage side of the main transformer is faulty. At the same time, an alarm message is issued for the interval where the measurement and control device fails.

[0092] Correspondingly, the fault identification process of the measurement and control device on the medium voltage side and the low voltage side of the main transformer is similar to that on the high voltage side and will not be repeated here.

[0093] Furthermore, it should be noted that the fault identification method for the measurement and control device proposed in the embodiment of the present invention is applicable not only to substations, but also to power plant stations of various types such as wind farms, photovoltaic power plants, energy storage power plants, hydropower plants, coal-fired power plants, gas-fired power plants, and biomass power plants that can upload substation monitoring information to the master station.

[0094] To verify the effectiveness of the fault identification method for the measurement and control device of the present invention, the following experimental tests were carried out:

[0095] I. Test scenario

[0096] 1. Test object: Select 10 substations with different voltage levels (220 kV, 110 kV), with 2 main transformer side measurement and control devices and 3 line side measurement and control devices in each substation, for a total of 50 measurement and control device samples.

[0097] 2. Fault simulation: Manually trigger faults in the measurement and control devices (such as power off, program crash), and record the response data of the master station system.

[0098] 3. Control group setting: One is the determination of the bus power balance calculation method in the traditional method group; the other is the double criterion of the total active power addition deviation and the telemetry refresh status adopted in the method group of the present invention.

[0099] 4. Data collection: The time window is 72 hours of continuous monitoring, and telemetry data is collected every 5 seconds.

[0100] 5. Index definition:

[0101] ① Accuracy rate: The number of correctly identified faulty measurement and control devices / the total number of actual faults × 100%.

[0102] ② Response time: The time difference from the occurrence of the fault to the triggering of an alarm by the master station system.

[0103] ③ False alarm rate: The number of false alarms / the total number of alarms × 100%.

[0104] II. Data analysis of experimental results

[0105] ① Accuracy rate calculation

[0106] Traditional method group: 36 out of 50 samples were correctly identified, with an accuracy rate of 72%.

[0107] Method group of the present invention: 47 were correctly identified, with an accuracy rate of 95%.

[0108] ② Response time optimization

[0109] The traditional method relies on power balance detection, and the median response time is 10 seconds.

[0110] The method of the present invention introduces real-time total active power addition calculation and combines dynamic judgment with deviation calculation, shortening the response time to 3 seconds.

[0111] ③False alarm rate

[0112] In the traditional method, due to the stable load, the single telemetry data is not refreshed for a long time, with 28 false alarms (total 100 alarms), and the false alarm rate is 28%.

[0113] The method of the present invention filters non-fault scenarios (such as load balance) through the deviation of the total active power addition, with only 5 false alarms and a false alarm rate of 5%.

[0114] In summary, the test experiment proves the superiority of the fault identification method for the measurement and control device proposed by the present invention.

[0115] The beneficial effects of the present invention are as follows. Compared with the prior art:

[0116] 1. The present invention is at the main station system side, from the monitoring data level of the entire substation. Through multi-source data fusion, based on the calculation of the total active power addition balance, the relative deviation of the total active power addition is used as the identification index, effectively avoiding the misjudgment problem caused by the traditional method using the fixed threshold calibration method, and improving the accuracy of fault identification;

[0117] 2. The present invention analyzes the refresh status of the interval telemetry data, counts the number of unchanged and non-refreshed telemetry data, and proposes a determination method for the unchanged and non-refreshed status of the entire interval telemetry data, realizing the accurate identification of the refresh status of the interval telemetry data;

[0118] 3. Based on the calculation of the active power deviation and the statistics of the unchanged and non-refreshed telemetry data, the present invention proposes a comprehensive fault identification method for the measurement and control device based on the dual criteria of the relative deviation of the total active power addition and the refresh status of the telemetry data. Compared with the determination method that only calculates the power balance of the conventional busbar in the traditional method, the present invention introduces the relative deviation index of the total active power addition, designs the criterion for monitoring the status of the telemetry data, realizes the integration from single data verification to multi-source status, expands the dimension of the fault monitoring of the measurement and control device, effectively avoids the occurrence of false alarms and missed alarms, improves the accuracy and efficiency of fault identification, and provides a more reliable measurement and control device fault diagnosis solution for power production.

[0119] Embodiment 2:

[0120] As Figure 2 shown, the present invention provides a measurement and control device fault identification system, which is used to implement the steps of the method in Embodiment 1 above. The system specifically includes:

[0121] A power calculation module, which is used to calculate the absolute value of the total active power addition |P 1x | of the main transformer side and the absolute value of the total active power addition |P 2x | of the line side and the relative deviation P of the total active power addition for each voltage level x according to the active power of each main transformer side and each line side in the target substation collectedRSDx ;

[0122] A telemetry data analysis module, which is used to analyze whether there is an unchanged and unrefreshed state in the telemetry data of each interval by monitoring the data changes of each telemetry point in the target substation;

[0123] A fault identification module, which is used to perform the following state identification when the relative deviation P of the total active power addition RSDx is greater than the set deviation value:

[0124] If |P 1x | < |P 2x |, then query the analysis results of the telemetry data of each interval on the line side of the x voltage level. If there is an unchanged and unrefreshed state in the telemetry data of an interval, it is determined that the measurement and control device of this interval is faulty;

[0125] If |P 1x | > |P 2x |, then query the analysis results of the telemetry data of each interval on the main transformer side of the x voltage level. If there is an unchanged and unrefreshed state in the telemetry data of an interval, it is determined that the measurement and control device of this interval is faulty.

[0126] As an embodiment of the present invention, the telemetry data analysis module includes:

[0127] A marking unit, which is used to count the time when the telemetry data does not change according to the monitored data changes of each telemetry point, and mark the telemetry data that has not changed within the set duration as unchanged telemetry data;

[0128] A statistical unit, which is used to respectively count the number of unchanged telemetry data in each interval and the total number of all telemetry data in each interval;

[0129] A determination unit, which is used to determine that there is an unchanged and unrefreshed state in the telemetry data of this interval if the ratio of the number of unchanged telemetry data in the interval to the total number of its telemetry data is not less than the set ratio.

[0130] The measurement and control device fault identification system provided by the embodiment of the present invention and the measurement and control device fault identification method provided by Embodiment 1 are based on the same technical concept, and can produce the beneficial effects as described in Embodiment 1. The content not described in detail in this embodiment can be referred to in Embodiment 1.

[0131] Embodiment 3:

[0132] A terminal provided by an embodiment of the present invention includes a processor and a storage medium;

[0133] The storage medium is used to store instructions;

[0134] The processor is configured to operate according to the instructions to perform the steps of the method according to any one of the first embodiment.

[0135] Embodiment 4:

[0136] A computer-readable storage medium provided by an embodiment of the present invention stores a computer program thereon, and when the program is executed by a processor, the steps of the method according to any one of the first embodiment are implemented.

[0137] The present disclosure may be a system, a method, and / or a computer program product. The computer program product may include a computer-readable storage medium having thereon computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0138] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of a computer-readable storage medium (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disc (DVD), a memory stick, a floppy disk, a mechanically encoded device such as a punch card or raised structures in grooves having instructions stored thereon, and any suitable combination of the foregoing. The computer-readable storage medium used herein is not construed as a transitory signal itself, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through an optical fiber cable), or electrical signals transmitted through wires.

[0139] The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to various computing / processing devices, or downloaded to an external computer or external storage device through a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network may include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in each computing / processing device.

[0140] Computer program instructions for performing the operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine - related instructions, microcode, firmware instructions, state - setting data, or source code or object code written in any combination of one or more programming languages, including object - oriented programming languages such as Smalltalk, C++, etc., and conventional procedural programming languages such as the "C" language or similar programming languages. The computer - readable program instructions may be executed entirely on the user's computer, partially on the user's computer, executed as a stand - alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider). In some embodiments, by using the state information of the computer - readable program instructions to customize an electronic circuit, such as a programmable logic circuit, a field - programmable gate array (FPGA), or a programmable logic array (PLA), the electronic circuit can execute the computer - readable program instructions to implement various aspects of the present disclosure.

[0141] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications or equivalent substitutions can still be made to the specific embodiments of the present invention, and any modification or equivalent substitution that does not depart from the spirit and scope of the present invention shall be covered by the protection scope of the claims of the present invention.

Claims

1. A method for identifying faults in a measurement and control device, characterized in that: include: According to the collected active power of each main transformer side and each line side in the target substation, the total absolute value of active power on the main transformer side of each voltage level x is calculated respectively |P 1x |、Total absolute value of active power on the line side|P 2x | and the relative deviation of the total active power P RSDx ; By monitoring the data changes of each telemetry point in the target substation, it is analyzed whether the telemetry data of each interval is unchanged and not refreshed; When the relative deviation of total active power is P RSDx When it is greater than the set deviation value, the following status identification is performed: If |P 1x |<|P 2x |, then query the analysis results of the telemetry data of each interval on the line side of the x voltage level. If the telemetry data of an interval does not change or refresh, it is determined that the measurement and control device of the interval is faulty; If |P 1x |>|P 2x |, then query the analysis results of the telemetry data of each interval on the main transformer side of the x voltage level. If the telemetry data of an interval does not change or refresh, it is determined that the measurement and control device of the interval is faulty.

2. The method for identifying faults in a measurement and control device according to claim 1, characterized in that: The voltage levels x include high voltage, medium voltage and low voltage.

3. The method for identifying faults in a measurement and control device according to claim 1, characterized in that: The total absolute value of active power on the main transformer side |P 1x | and the total absolute value of active power on the line side |P 2x The calculation formulas of | are as follows: In the formula, is the active power on the voltage level x side of the ith main transformer, and N is the total number of main transformers in the target substation; is the active power of the jth line on the x voltage level side in the target substation; M is the total number of x voltage level lines in the target substation.

4. The method for identifying faults in a measurement and control device according to claim 1 or 3, characterized in that: The relative deviation P of the total active power RSDx The calculation formula is as follows: Where P RSDx is the relative deviation of the total active power on the x voltage level side, is the absolute value of the total active power added by the main transformer side at the x voltage level |P 1x | and the total absolute value of active power on the line side |P 2x |The average value.

5. The method for identifying faults in a measurement and control device according to claim 1, characterized in that: The step of analyzing whether each interval telemetry data is in an unchanged and unrefreshed state comprises: According to the changes in the data of each telemetry point monitored, the time when each telemetry data does not change is counted, and the telemetry data that has not changed for more than the set time period is marked as unchanged telemetry data; Count the number of unchanged telemetry data in each interval and the total number of all telemetry data in each interval; If the ratio of the number of unchanged telemetry data within the interval to the total number of telemetry data is not less than the set ratio, it is determined that the telemetry data in the interval is in an unchanged and non-refreshed state.

6. The method for identifying faults in a measurement and control device according to claim 1, characterized in that: If |P 1x |=|P 2x | or P RSDx When it is not greater than the set deviation value, it indicates that the total active power on the x voltage level side in the target substation is balanced, and the corresponding measurement and control devices are operating normally.

7. A measurement and control device fault identification system, running the measurement and control device fault identification method according to any one of claims 1 to 6, characterized in that: The system includes: The power calculation module is used to calculate the total absolute value of active power on the main transformer side of each voltage level x based on the collected active power on each main transformer side and each line side in the target substation |P 1x |、Total absolute value of active power on the line side|P 2x | and the relative deviation of the total active power P RSDx ; The telemetry data analysis module is used to monitor the data changes of each telemetry point in the target substation and analyze whether the telemetry data of each interval is unchanged and not refreshed; Fault identification module, used when the relative deviation of the total active power is P RSDx When it is greater than the set deviation value, the following status identification is performed: If |P 1x |<|P 2x |, then query the analysis results of the telemetry data of each interval on the line side of the x voltage level. If the telemetry data of an interval does not change or refresh, it is determined that the measurement and control device of the interval is faulty; If |P 1x |>|P 2x |, then query the analysis results of the telemetry data of each interval on the main transformer side of the x voltage level. If the telemetry data of an interval does not change or refresh, it is determined that the measurement and control device of the interval is faulty.

8. The fault identification system of the measurement and control device according to claim 7, characterized in that: The telemetry data analysis module includes: The marking unit is used to count the unchanged time of each telemetry data according to the data changes of each telemetry point monitored, and mark the telemetry data that has not changed for more than a set time as unchanged telemetry data; A statistical unit, used to count the number of unchanged telemetry data in each interval and the total number of all telemetry data in each interval; The determination unit is used to determine that the telemetry data in the interval is in an unchanged and non-refreshed state if the ratio of the number of unchanged telemetry data in the interval to the total number of telemetry data is not less than a set ratio.

9. A terminal comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the method according to any one of claims 1-6.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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