Box transformer substation overcurrent protection fault judgment method, system, device, equipment and medium

Abstract

The invention relates to the technical field of electronics, and discloses a box transformer substation overcurrent protection fault judgment method, system, device and equipment and a medium, and the method comprises the steps: determining a target time period based on the moment corresponding to the overcurrent protection action of a target box transformer substation when an overcurrent protection action signal of the target box transformer substation in a power system is received, determining a first target current value of the corresponding box transformer substation based on the first current sequence data of each box transformer substation in the power system in the target time period, and calculating a second target current value based on the second current sequence data of the fan line in the power system in the target time period, determining a target proportionality coefficient based on the second target current value and first target current values corresponding to different box transformers, if the target proportionality coefficient is within a proportionality coefficient fluctuation range, determining that the target box transformer has an actual fault current, and if the target proportionality coefficient is outside the proportionality coefficient fluctuation range, determining that the target box transformer has an actual fault current. Therefore, the accuracy and the efficiency of fault judgment are improved.

Description

Technical Field

[0001] This invention relates to the field of electronic technology, specifically to a method, system, device, equipment, and medium for judging overcurrent protection faults in transformer substations. Background Technology

[0002] In wind power systems, a single turbine line typically connects to multiple transformer substations. As crucial equipment in wind power systems, the accuracy of overcurrent protection in these substations is paramount. When the overcurrent protection trips, it's essential to quickly and accurately determine whether the tripping is due to an actual fault current or a malfunction caused by a current transformer failure. Failure to do so may lead to unnecessary power outages for maintenance, disrupting the normal operation of the wind power system and increasing maintenance costs. Currently, although both the substations and turbine lines are equipped with current transformers and their signals can be collected and transmitted to a control center, fault identification is generally based on human experience, making it difficult to accurately and quickly pinpoint the cause of the overcurrent protection tripping. Summary of the Invention

[0003] In view of this, the present invention provides a method, system, device, equipment and medium for judging overcurrent protection faults in transformer substations, in order to solve the problem in related technologies that rely on human experience to identify fault types and cannot accurately and quickly determine the fault cause that leads to the operation of overcurrent protection in transformer substations.

[0004] In a first aspect, the present invention provides a method for judging overcurrent protection faults in a transformer substation. The method includes: when receiving an overcurrent protection action signal from a target transformer substation in a power system, acquiring first current sequence data of multiple transformer substations within a target time period, second current sequence data of a wind turbine line, and a pre-determined proportional coefficient fluctuation range. The target time period includes the time corresponding to the overcurrent protection action of the target transformer substation. The proportional coefficient fluctuation range characterizes the range of change of the proportional coefficient during normal operation of the power system. The proportional coefficient is calculated using current data from the wind turbine line and current data from multiple transformer substations in the power system. Based on the first current sequence data of each transformer substation, a first target current value for the corresponding transformer substation is determined. Based on the second current sequence data of the wind turbine line, a second target current value for the wind turbine line is determined. A target proportional coefficient is calculated using the first target current values ​​of multiple transformer substations and the second target current value of the wind turbine line. If the target proportional coefficient falls within the proportional coefficient fluctuation range, it is determined that an actual fault current exists in the target transformer substation; if the target proportional coefficient falls outside the proportional coefficient fluctuation range, it is determined that a current transformer fault exists in the target transformer substation.

[0005] The present invention provides a method for judging overcurrent protection faults in transformer substations. When an overcurrent protection action signal of a target transformer substation in a power system is received, a target time period is determined based on the time corresponding to the overcurrent protection action of the target transformer substation. A first target current value for the corresponding transformer substation is determined based on the first current sequence data of each transformer substation in the power system within the target time period. A second target current value is calculated based on the second current sequence data of the wind turbine line in the power system within the target time period. A target proportional coefficient is determined based on the second target current value and the first target current value corresponding to different transformer substations. The target proportional coefficient is compared with a pre-determined proportional coefficient fluctuation range. If the target proportional coefficient is within the proportional coefficient fluctuation range, it is determined that there is an actual fault current in the target transformer substation. If the target proportional coefficient is outside the proportional coefficient fluctuation range, it is determined that there is a current transformer fault in the target transformer substation. This method enables accurate judgment of whether the overcurrent protection action of a single transformer substation is a false trip caused by a current transformer problem or whether there is an actual fault current, based on the current collected from the transformer substation and the wind turbine line, after the overcurrent protection action of a single transformer substation. This improves the accuracy and efficiency of fault judgment.

[0006] In one optional implementation, the fluctuation range of the proportional coefficient is determined by the following steps: acquiring current sequence data of multiple transformer substations and wind turbine lines in the power system during a preset time period, during which the power system is in normal operation; calculating proportional coefficient sequence data based on the third current sequence data of the multiple transformer substations and the fourth current sequence data of the wind turbine lines, the proportional coefficient sequence data being used to characterize the ratio of the wind turbine line current to the sum of the currents of different transformer substations at different time points in the target time period; and determining the fluctuation range of the proportional coefficient based on the proportional coefficient sequence data.

[0007] In one optional implementation, the step of determining the first target current value of the corresponding transformer based on the first current sequence data of each transformer includes: determining the first effective current value of the corresponding transformer based on the first current sequence data of each transformer; and using the first effective current value of each transformer as the first target current value of the corresponding transformer.

[0008] In one optional implementation, the step of determining the second target current value of the wind turbine line based on the second current sequence data of the wind turbine line includes: calculating the second effective value of the wind turbine line based on the second current sequence data of the wind turbine line; and using the second effective value of the second current as the second target current value of the wind turbine line.

[0009] In one optional implementation, if the target proportional coefficient is outside the proportional coefficient fluctuation range, it is determined that the target transformer has a current transformer fault, including: if the target proportional coefficient is less than a first preset threshold of a first multiple or greater than a second preset threshold of a second multiple, it is determined that the target transformer has a current transformer fault, wherein the first preset threshold is used to characterize the lower limit of the proportional coefficient fluctuation range and the second preset threshold is used to characterize the upper limit of the proportional coefficient fluctuation range.

[0010] Secondly, the present invention provides a fault judgment system for overcurrent protection of a transformer substation. The system includes: current transformers of multiple transformer substations in a power system, current transformers of wind turbine lines, a database, and a fault judgment module. The current transformers of each transformer substation are used to collect current data of the corresponding transformer substation. The current transformers of the wind turbine lines are used to collect current data of the wind turbine lines. The database is connected to the current transformers of the multiple transformer substations and the current transformers of the wind turbine lines respectively, and is used to store the current data of the multiple transformer substations and the current data of the wind turbine lines. The fault judgment module is connected to the database and is used to execute the fault judgment method for overcurrent protection of transformer substations according to the first aspect or any corresponding embodiment.

[0011] The fault judgment system for overcurrent protection of transformer substations provided by this invention includes current transformers for multiple transformer substations in a power system, current transformers for wind turbine lines, a database, and a fault judgment module. The fault judgment module performs fault judgment on the transformer substations that have experienced faults. After the overcurrent protection of a single transformer substation is activated, it can accurately determine whether the maloperation is caused by a problem with the current transformer or whether there is an actual fault current, based on the current collected from the transformer substation and the wind turbine line, thereby improving the accuracy and efficiency of fault judgment.

[0012] Thirdly, the present invention provides a device for judging overcurrent protection faults in transformer substations. The device includes: an acquisition module, used to acquire, when receiving an overcurrent protection action signal from a target transformer substation in a power system, first current sequence data of multiple transformer substations within a target time period, second current sequence data of a wind turbine line, and a predetermined proportional coefficient fluctuation range. The target time period includes the time corresponding to the overcurrent protection action of the target transformer substation. The proportional coefficient fluctuation range characterizes the range of change of the proportional coefficient during normal operation of the power system. The proportional coefficient is calculated using the current data of the wind turbine line and the current data of multiple transformer substations in the power system; a first determination module, used to determine a first target current value for the corresponding transformer substation based on the first current sequence data of each transformer substation; a second determination module, used to determine a second target current value for the wind turbine line based on the second current sequence data of the wind turbine line; a calculation module, used to calculate a target proportional coefficient using the first target current values ​​of multiple transformer substations and the second target current value of the wind turbine line; and a third determination module, used to determine that if the target proportional coefficient is within the proportional coefficient fluctuation range, the target transformer substation has an actual fault current; and if the target proportional coefficient is outside the proportional coefficient fluctuation range, the target transformer substation has a current transformer fault.

[0013] Fourthly, the present invention provides a computer device, comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the above-described method for judging overcurrent protection faults of transformer substations in the first aspect or any corresponding embodiment.

[0014] Fifthly, the present invention provides a computer-readable storage medium storing computer instructions, which are used to cause a computer to execute the overcurrent protection fault judgment method for transformer substation described in the first aspect or any corresponding embodiment.

[0015] In a sixth aspect, the present invention provides a computer program product, including computer instructions, which are used to cause a computer to execute the overcurrent protection fault judgment method for transformer substations described in the first aspect or any corresponding embodiment. Attached Figure Description

[0016] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating the overcurrent protection fault judgment method for transformer substations according to an embodiment of the present invention.

[0018] Figure 2 This is a flowchart illustrating another method for determining overcurrent protection faults in a transformer according to an embodiment of the present invention.

[0019] Figure 3 This is a structural block diagram of a transformer substation overcurrent protection fault judgment system according to an embodiment of the present invention;

[0020] Figure 4 This is a structural block diagram of a transformer substation overcurrent protection fault judgment device according to an embodiment of the present invention;

[0021] Figure 5 This is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] In wind power systems, a single turbine line typically connects to multiple transformer substations. As crucial equipment in wind power systems, the accuracy of overcurrent protection in these substations is paramount. When the overcurrent protection trips, it's essential to quickly and accurately determine whether the tripping is due to an actual fault current or a malfunction caused by a current transformer failure. Failure to do so may lead to unnecessary power outages for maintenance, disrupting the normal operation of the wind power system and increasing maintenance costs. Currently, although both the substations and turbine lines are equipped with current transformers and their signals can be collected and transmitted to a control center, fault identification is generally based on human experience, making it difficult to accurately and quickly pinpoint the cause of the overcurrent protection tripping.

[0024] In view of this, the overcurrent protection fault judgment method for transformer substations provided in this application embodiment can be applied to a server to realize fault judgment of overcurrent protection for transformer substations. The method provided in this application embodiment, when receiving an overcurrent protection action signal from a target transformer substation in the power system, determines a target time period based on the time corresponding to the overcurrent protection action of the target transformer substation. It then determines a first target current value for the corresponding transformer substation based on the first current sequence data of each transformer substation in the power system within the target time period. A second target current value is calculated based on the second current sequence data of the wind turbine line in the power system within the target time period. A target proportional coefficient is determined based on the second target current value and the first target current values ​​corresponding to different transformer substations. The target proportional coefficient is compared with a pre-determined proportional coefficient fluctuation range. If the target proportional coefficient falls within the proportional coefficient fluctuation range, it is determined that there is an actual fault current in the target transformer substation. If the target proportional coefficient falls outside the proportional coefficient fluctuation range, it is determined that there is a current transformer fault in the target transformer substation. This achieves accurate judgment of whether the overcurrent protection action of a single transformer substation is a false trip caused by a current transformer problem or whether there is an actual fault current, based on the current collected from the transformer substation and the wind turbine line, after the overcurrent protection action of a single transformer substation. This improves the accuracy and efficiency of fault judgment.

[0025] According to an embodiment of the present invention, an embodiment of a method for judging overcurrent protection faults in transformer substations is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0026] This embodiment provides a method for determining overcurrent protection faults in transformer substations, which can be used in the aforementioned server. Figure 1 This is a flowchart of a method for judging overcurrent protection faults in a transformer substation according to an embodiment of the present invention, as follows: Figure 1 As shown, the process includes the following steps:

[0027] Step S101: When the overcurrent protection action signal of the target transformer in the power system is received, the first current sequence data of multiple transformers in the target time period, the second current sequence data of the wind turbine line, and the predetermined proportional coefficient fluctuation range are obtained. The target time period includes the time corresponding to the overcurrent protection action of the target transformer. The proportional coefficient fluctuation range is used to characterize the range of change of the proportional coefficient during normal operation of the power system. The proportional coefficient is calculated by the current data of the wind turbine line and the current data of multiple transformers in the power system.

[0028] For example, a power system may contain multiple prefabricated substations, which refer to prefabricated substations. A prefabricated substation is a compact set of power distribution equipment that integrates core electrical equipment such as high-voltage switchgear, distribution transformers, and low-voltage distribution devices into one or more sealed metal enclosures according to a certain wiring scheme. The target prefabricated substation refers to the prefabricated substation in the power system that has experienced overcurrent protection activation. The prefabricated substation has a monitoring and control device. After the overcurrent protection is activated, the monitoring and control device will generate a fault alarm and transmit the fault signal to the backend. The overcurrent protection activation signal of the prefabricated substation refers to a series of indication, alarm, or control signals issued by the overcurrent protection device when it detects that the circuit current exceeds the set value. These signals are used to indicate the occurrence of a fault and trigger subsequent processing (such as tripping). The target time period is determined based on the time corresponding to the overcurrent protection activation of the target prefabricated substation. In this embodiment, the current data of the prefabricated substation from [Y] seconds before the overcurrent protection activation time to [Z] seconds after the activation time is retrieved as the first current sequence data, and the wind turbine line current data within the same time period is used as the second current sequence data.

[0029] Step S102: Determine the first target current value of the corresponding transformer based on the first current sequence data of each transformer.

[0030] For example, in this embodiment of the application, multiple data of the first current sequence data of each transformer are fused according to a preset fusion processing method to obtain the first target current value. The preset fusion processing method may include, but is not limited to, mean processing, feature extraction based on time series model, principal component analysis, effective value calculation, etc.

[0031] Step S103: Determine the second target current value of the wind turbine line based on the second current sequence data of the wind turbine line.

[0032] For example, in this embodiment of the application, multiple current data of the second current sequence data of the wind turbine line are fused according to a preset fusion processing method to obtain the second target current value.

[0033] Step S104: Calculate the target proportional coefficient using the first target current values ​​of multiple transformer substations and the second target current value of the wind turbine line.

[0034] For example, in this embodiment of the application, the first target current values ​​of multiple transformer substations are summed to obtain the sum of the first target current values, and the ratio of the second target current value to the sum of the first target current values ​​is calculated, and this ratio is used as the target proportional coefficient.

[0035] Step S105: If the target proportional coefficient is within the range of the proportional coefficient fluctuation, it is determined that there is an actual fault current in the target transformer box; if the target proportional coefficient is outside the range of the proportional coefficient fluctuation, it is determined that there is a current transformer fault in the target transformer box.

[0036] For example, in this embodiment of the application, if the target proportional coefficient is within the normal fluctuation range, it is determined that there may be an actual fault current. If the target proportional coefficient is outside the fluctuation range, it is determined that the malfunction is caused by a fault in the current transformer. According to Kirchhoff's Current Law (KCL), if there is a real fault in the transformer substation, the sum of the currents of each transformer substation is equal to the wind turbine line current, and the proportional coefficient is within the fluctuation range. If the current transformer in the transformer substation is faulty, the sum of the currents of the transformer substations deviates from the wind turbine line current, and the proportional coefficient is outside the fluctuation range.

[0037] The overcurrent protection fault judgment method for transformer substations provided in this embodiment, when receiving an overcurrent protection action signal from a target transformer substation in the power system, determines a target time period based on the time corresponding to the overcurrent protection action of the target transformer substation. It then determines a first target current value for the corresponding transformer substation based on the first current sequence data of each transformer substation in the power system within the target time period, calculates a second target current value based on the second current sequence data of the wind turbine line in the power system within the target time period, and determines a target proportional coefficient based on the second target current value and the first target current values ​​corresponding to different transformer substations. The target proportional coefficient is compared with a pre-determined proportional coefficient fluctuation range. If the target proportional coefficient falls within the proportional coefficient fluctuation range, it is determined that there is an actual fault current in the target transformer substation; if the target proportional coefficient falls outside the proportional coefficient fluctuation range, it is determined that there is a current transformer fault in the target transformer substation. This method enables accurate judgment of whether the overcurrent protection action of a single transformer substation is a false trip caused by a current transformer problem or an actual fault current, based on the current collected from the transformer substation and the wind turbine line, after the overcurrent protection action of a single transformer substation, thus improving the accuracy and efficiency of fault judgment.

[0038] This embodiment provides a method for determining overcurrent protection faults in transformer substations, which can be used in the aforementioned server. Figure 2 This is a flowchart of a method for judging overcurrent protection faults in a transformer substation according to an embodiment of the present invention, as follows: Figure 2 As shown, the process includes the following steps:

[0039] Step S201: When an overcurrent protection action signal from the target transformer substation in the power system is received, acquire the first current sequence data of multiple transformer substations within the target time period, the second current sequence data of the wind turbine line, and the pre-determined proportional coefficient fluctuation range. The target time period includes the moment corresponding to the overcurrent protection action of the target transformer substation. For details, please refer to [link to relevant documentation]. Figure 1 Step S101 of the illustrated embodiment will not be described again here.

[0040] In some optional implementations, the range of fluctuation of the scaling factor is determined by the following steps:

[0041] Step a1: Obtain current sequence data of multiple transformer substations and wind turbine lines in the power system during a preset time period, during which the power system is in normal operation.

[0042] For example, the preset time period can be X days. This application embodiment does not limit the specific content of the preset time period, and those skilled in the art can determine it according to their needs. In this application embodiment, under normal power system operation, current data of the transformer substation and wind turbine lines are continuously collected for X days.

[0043] Step a2: Based on the third current sequence data of multiple transformer substations and the fourth current sequence data of wind turbine lines, the proportional coefficient sequence data is calculated. The proportional coefficient sequence data is used to characterize the ratio of the wind turbine line current to the sum of the currents of different transformer substations at different time nodes in the target period.

[0044] For example, in this embodiment of the application, the collected normal operation data is analyzed, and the proportional coefficient K of the wind turbine line current and the sum of the currents of each transformer substation is calculated according to the relationship between the sum of the currents of each transformer substation and the current of the wind turbine line current under normal conditions. That is, K = wind turbine line current / ∑ (currents of each transformer substation), and proportional coefficient sequence data is obtained.

[0045] Step a3: Determine the fluctuation range of the proportional coefficient based on the proportional coefficient sequence data.

[0046] For example, in this embodiment of the application, the normal fluctuation range of K is determined to be [K1, K2] based on the proportional coefficient K at different time points.

[0047] Step S202: Determine the first target current value of the corresponding transformer based on the first current sequence data of each transformer.

[0048] Specifically, step S202 includes:

[0049] Step S2021: Determine the effective value of the first current of the corresponding transformer based on the first current sequence data of each transformer.

[0050] For example, the effective value (RMS, Root Mean Square) is the core indicator for measuring the "equivalent DC power" of alternating current. Its physical meaning is: the value of DC power that produces the same amount of heat as the alternating current in the same amount of time.

[0051] Step S2022: Take the first effective value of the current of each transformer as the first target current value of the corresponding transformer.

[0052] Step S203: Determine the second target current value of the wind turbine line based on the second current sequence data of the wind turbine line.

[0053] Specifically, step S203 includes:

[0054] Step S2031: Calculate the effective value of the second current of the wind turbine line based on the second current sequence data of the wind turbine line.

[0055] Step S2032: Use the second effective value of the current as the second target current value of the wind turbine line.

[0056] Step S204: Calculate the target proportional coefficient using the first target current values ​​of multiple transformer substations and the second target current value of the wind turbine line. For details, please refer to [link to relevant documentation]. Figure 1 Step S103 of the illustrated embodiment will not be described again here.

[0057] Step S205: If the target proportional coefficient is within the range of the proportional coefficient fluctuation, it is determined that there is an actual fault current in the target transformer box; if the target proportional coefficient is outside the range of the proportional coefficient fluctuation, it is determined that there is a current transformer fault in the target transformer box.

[0058] In some optional implementations, if the target proportional coefficient is outside the range of proportional coefficient fluctuation, and a current transformer fault is determined in the target transformer substation, the following steps are taken:

[0059] If the target proportional coefficient is less than the first preset threshold of the first multiple or greater than the second preset threshold of the second multiple, it is determined that there is a current transformer fault in the target transformer. The first preset threshold is used to characterize the lower limit of the proportional coefficient fluctuation range, and the second preset threshold is used to characterize the upper limit of the proportional coefficient fluctuation range.

[0060] For example, in the embodiments of this application, the first multiple may include, but is not limited to, 0.5, the second multiple may include, but is not limited to, 1.5, the first preset threshold may be used to characterize the lower limit of the fluctuation range of the proportional coefficient, that is, K1, and the second preset threshold may be used to characterize the upper limit of the fluctuation range of the proportional coefficient, that is, K2.

[0061] This embodiment provides a fault diagnosis system for overcurrent protection of transformer substations. Figure 3This is a schematic block diagram of the overcurrent protection fault judgment system for transformer substations according to an embodiment of the present invention, as follows: Figure 3 As shown, the system includes: current transformers 301 for multiple transformer substations in the power system, current transformers 302 for wind turbine lines, database 303, and fault diagnosis module 304.

[0062] The current transformer 301 of each transformer substation is used to collect the current data of the corresponding transformer substation. For example, the current transformer of the transformer substation refers to the existing current transformer of the transformer substation at the implementation site.

[0063] The current transformer 302 for the wind turbine line is used to collect the current data of the wind turbine line. For example, the current transformer for the wind turbine line refers to the existing current transformer for the wind turbine line.

[0064] Database 303 is connected to current transformers 301 of multiple transformer substations and current transformers 302 of the wind turbine line, respectively, for storing current data of the multiple transformer substations and the wind turbine line. Exemplarily, in this embodiment of the application, the current signals of each transformer substation are collected using existing current transformers in the field, and the current signals of the wind turbine line are collected using existing current transformers in the wind turbine line. The collected transformer substation current signals and wind turbine line current signals are transmitted to the backend via a communication network and stored in the backend database.

[0065] The fault diagnosis module 304 is connected to the database 303 and is used to execute the transformer substation overcurrent protection fault diagnosis method in the above embodiments. For example, please refer to the description of the relevant content in the above embodiments, which will not be repeated here.

[0066] The overcurrent protection fault judgment system for transformer substations provided in this application includes current transformers for multiple transformer substations in the power system, current transformers for wind turbine lines, a database, and a fault judgment module. The fault judgment module performs fault judgment on the transformer substations that have experienced faults. After the overcurrent protection of a single transformer substation operates, it can accurately determine whether the maloperation is caused by a problem with the current transformer or whether there is an actual fault current based on the current collected from the transformer substation and the wind turbine line, thereby improving the accuracy and efficiency of fault judgment.

[0067] This embodiment also provides a transformer substation overcurrent protection fault judgment device, which is used to implement the above embodiments and preferred embodiments, and will not be repeated as already described. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0068] This embodiment provides a fault diagnosis device for overcurrent protection of a transformer substation, such as... Figure 4 As shown, it includes:

[0069] The acquisition module 401 is used to acquire, when receiving the overcurrent protection action signal of the target transformer in the power system, the first current sequence data of multiple transformers in the target time period, the second current sequence data of the wind turbine line, and the predetermined proportional coefficient fluctuation range. The target time period includes the time corresponding to the overcurrent protection action of the target transformer. The proportional coefficient fluctuation range is used to characterize the range of change of the proportional coefficient during normal operation of the power system. The proportional coefficient is calculated by the current data of the wind turbine line and the current data of multiple transformers in the power system.

[0070] The first determining module 402 is used to determine the first target current value of the corresponding transformer based on the first current sequence data of each transformer.

[0071] The second determining module 403 is used to determine the second target current value of the wind turbine line based on the second current sequence data of the wind turbine line.

[0072] Calculation module 404 is used to calculate the target proportional coefficient using the first target current value of multiple transformer substations and the second target current value of the wind turbine line;

[0073] The third determination module 405 is used to determine whether there is an actual fault current in the target transformer if the target proportional coefficient processing proportional coefficient is within the fluctuation range, and to determine whether there is a current transformer fault in the target transformer if the target proportional coefficient processing proportional coefficient is outside the fluctuation range.

[0074] In some optional implementations, the range of fluctuation of the scaling factor is determined by the following steps:

[0075] Acquire current sequence data of multiple transformer substations and wind turbine lines in the power system during a preset time period, during which the power system is in normal operation.

[0076] The proportional coefficient sequence data is calculated based on the third current sequence data of multiple transformer substations and the four-sequence current data of the wind turbine line. The proportional coefficient sequence data is used to characterize the ratio of the wind turbine line current to the sum of the currents of different transformer substations at different time nodes in the target period.

[0077] The fluctuation range of the proportional coefficient is determined based on the proportional coefficient sequence data.

[0078] In some alternative implementations, the first determining module 402 includes:

[0079] The first determining submodule is used to determine the effective value of the first current of the corresponding transformer based on the first current sequence data of each transformer.

[0080] The second determining submodule is used to take the first effective value of the current of each transformer as the first target current value of the corresponding transformer.

[0081] In some alternative implementations, the second determining module 403 includes:

[0082] Calculate the effective value of the second current of the wind turbine line based on the second current sequence data of the wind turbine line;

[0083] The effective value of the second current is used as the second target current value of the wind turbine line.

[0084] In some optional implementations, if the target proportional coefficient is outside the range of proportional coefficient fluctuation, and a current transformer fault is determined in the target transformer substation, the following steps are taken:

[0085] If the target proportional coefficient is less than the first preset threshold of the first multiple or greater than the second preset threshold of the second multiple, it is determined that there is a current transformer fault in the target transformer. The first preset threshold is used to characterize the lower limit of the proportional coefficient fluctuation range, and the second preset threshold is used to characterize the upper limit of the proportional coefficient fluctuation range.

[0086] Further functional descriptions of the above modules and units are the same as those in the corresponding embodiments described above, and will not be repeated here.

[0087] In this embodiment, the transformer overcurrent protection fault judgment device is presented in the form of a functional unit. Here, a unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0088] This invention also provides a computer device having the above-described features. Figure 4 The overcurrent protection fault detection device for the transformer substation shown is shown.

[0089] Please see Figure 5 , Figure 5 This is a schematic diagram of the structure of a computer device provided in an optional embodiment of the present invention, such as... Figure 5 As shown, the computer device includes one or more processors 10, memory 20, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components communicate with each other via different buses and can be mounted on a common motherboard or otherwise installed as needed. The processors can process instructions executed within the computer device, including instructions stored in or on memory to display graphical information of a GUI on external input / output devices (such as display devices coupled to the interfaces). In some alternative implementations, multiple processors and / or multiple buses can be used with multiple memories, if desired. Similarly, multiple computer devices can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system). Figure 5 Take a processor 10 as an example.

[0090] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GDA), or any combination thereof.

[0091] The memory 20 stores instructions executable by at least one processor 10 to cause the at least one processor 10 to perform the method shown in the above embodiments.

[0092] The memory 20 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the computer device. Furthermore, the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, the memory 20 may optionally include memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0093] The memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0094] The computer device also includes a communication interface 30 for communicating with other devices or communication networks.

[0095] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code, which, when accessed and executed by the computer, processor, or hardware, implements the methods shown in the above embodiments.

[0096] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0097] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method for judging overcurrent protection faults in a transformer substation, characterized in that, The method includes: When an overcurrent protection action signal is received from the target transformer in the power system, the first current sequence data of multiple transformers in the target time period, the second current sequence data of the wind turbine line, and the predetermined proportional coefficient fluctuation range are obtained. The target time period includes the time corresponding to the overcurrent protection action of the target transformer. The proportional coefficient fluctuation range is used to characterize the range of change of the proportional coefficient during normal operation of the power system. The proportional coefficient is calculated by the current data of the wind turbine line and the current data of multiple transformers in the power system. The first target current value of the corresponding transformer is determined based on the first current sequence data of each transformer. The second target current value of the wind turbine line is determined based on the second current sequence data of the wind turbine line; The target proportional coefficient is calculated using the first target current value of multiple transformer substations and the second target current value of the wind turbine line; If the target proportional coefficient is within the range of the proportional coefficient fluctuation, it is determined that the target transformer has an actual fault current; if the target proportional coefficient is outside the range of the proportional coefficient fluctuation, it is determined that the target transformer has a current transformer fault.

2. The method according to claim 1, characterized in that, The fluctuation range of the proportional coefficient is determined through the following steps: Acquire current sequence data of multiple transformer substations and wind turbine lines in the power system during a preset time period, during which the power system is in normal operation. The proportional coefficient sequence data is calculated based on the third current sequence data of multiple transformer substations and the four-sequence current data of the wind turbine line. The proportional coefficient sequence data is used to characterize the ratio of the wind turbine line current to the sum of the currents of different transformer substations at different time nodes in the target period. The fluctuation range of the proportional coefficient is determined based on the proportional coefficient sequence data.

3. The method according to claim 1 or 2, characterized in that, The step of determining the first target current value of the corresponding transformer based on the first current sequence data of each transformer includes: The effective value of the first current of each transformer substation is determined based on the first current sequence data of each transformer substation. The effective value of the first current of each transformer substation is taken as the first target current value of the corresponding transformer substation.

4. The method according to claim 1 or 2, characterized in that, The step of determining the second target current value of the wind turbine line based on the second current sequence data of the wind turbine line includes: The effective value of the second current of the wind turbine line is calculated based on the second current sequence data of the wind turbine line. The second effective value of the current is used as the second target current value of the wind turbine line.

5. The method according to claim 3, characterized in that, If the target proportional coefficient is outside the range of proportional coefficient fluctuation, it is determined that the target transformer has a current transformer fault, including: If the target proportional coefficient is less than a first preset threshold of a first multiple or greater than a second preset threshold of a second multiple, it is determined that the target transformer has a current transformer fault. The first preset threshold is used to characterize the lower limit of the proportional coefficient fluctuation range, and the second preset threshold is used to characterize the upper limit of the proportional coefficient fluctuation range.

6. A fault diagnosis system for overcurrent protection of a transformer substation, characterized in that, The system includes: current transformers for multiple transformer substations in the power system, current transformers for wind turbine lines, a database, and a fault diagnosis module. The current transformers in each transformer substation are used to collect the current data of the corresponding transformer substation; The current transformer of the wind turbine line is used to collect the current data of the wind turbine line. The database is connected to the current transformers of the multiple transformer substations and the current transformers of the wind turbine line, respectively, and is used to store the current data of the multiple transformer substations and the current data of the wind turbine line. The fault judgment module is connected to the database and is used to execute the overcurrent protection fault judgment method for transformer substations as described in any one of claims 1 to 5.

7. A fault diagnosis device for overcurrent protection of a transformer substation, characterized in that, The device includes: The acquisition module is used to acquire, when receiving the overcurrent protection action signal of the target transformer in the power system, the first current sequence data of multiple transformers in the target time period, the second current sequence data of the wind turbine line, and the pre-determined proportional coefficient fluctuation range. The target time period includes the time corresponding to the overcurrent protection action of the target transformer. The proportional coefficient fluctuation range is used to characterize the range of change of the proportional coefficient during normal operation of the power system. The proportional coefficient is calculated by the current data of the wind turbine line and the current data of multiple transformers in the power system. The first determining module is used to determine the first target current value of the corresponding transformer based on the first current sequence data of each transformer. The second determining module is used to determine the second target current value of the wind turbine line based on the second current sequence data of the wind turbine line. The calculation module is used to calculate the target proportional coefficient using the first target current value of multiple transformer substations and the second target current value of the wind turbine line; The third determining module is used to determine that the target transformer has an actual fault current if the target proportional coefficient is within the range of the proportional coefficient fluctuation, and to determine that the target transformer has a current transformer fault if the target proportional coefficient is outside the range of the proportional coefficient fluctuation.

8. A computer device, characterized in that, include: The system includes a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes the computer instructions to perform the overcurrent protection fault judgment method for transformer substation as described in any one of claims 1 to 5.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions, which are used to cause the computer to execute the overcurrent protection fault judgment method for transformer substations as described in any one of claims 1 to 5.

10. A computer program product, characterized in that, It includes computer instructions, which are used to cause a computer to execute the overcurrent protection fault judgment method for transformer substations as described in any one of claims 1 to 5.

Images