Operation risk prediction method and device of networking type equipment and electronic equipment

Abstract

The invention provides an operation risk prediction method and device of network construction type equipment and electronic equipment, and relates to the technical field of safe operation of the network construction type equipment, and the method comprises the steps: determining a risk discrimination parameter corresponding to the network construction type equipment based on a system control parameter corresponding to the network construction type equipment; under the condition that the risk discrimination parameter is smaller than zero, based on a first current reference value of the network construction type equipment in a normal operation mode, determining a first power angle interval corresponding to the network construction type equipment entering a current limiting mode; based on a second current reference value of the network construction type equipment in the current limiting mode, determining a second power angle interval corresponding to the network construction type equipment exiting the current limiting mode; and based on the first power angle interval and the second power angle interval, determining an operation risk prediction result corresponding to the network construction type equipment. According to the invention, whether the latching problem and the repeated switching problem possibly occur or not can be determined before the network construction type equipment is put into operation, so that early warning can be carried out, and loss caused by problems after the network construction type equipment is put into operation can be avoided.

Description

Technical Field

[0001] This invention relates to the field of safe operation technology for network-type equipment, and in particular to a method, apparatus and electronic equipment for predicting the operation risk of network-type equipment. Background Technology

[0002] Under short-circuit faults, grid-type converters without current limiting measures may experience overcurrent, leading to equipment damage. Therefore, current limiting control is essential for the normal operation of grid-type converters.

[0003] Priority control current limiting is a common strategy with advantages such as fast current limiting and adjustable phase. However, grid-type converters based on priority control current limiters may experience problems such as latch-up or repeated mode switching, for example... Figure 1 As shown, the latch-up problem refers to the situation where, after a short-circuit fault, the actual current of the grid-connected converter is pre-loaded to the current saturation value, causing the phase angle to fail to return to its initial state. In other words, after a short-circuit fault, the grid-connected converter cannot exit the current-limiting mode. Figure 2 As shown, the repeated mode switching problem refers to the oscillation of the actual current of the grid-type converter within a short period after a short-circuit fault, causing the operating mode of the grid-type converter to repeatedly switch between current-limiting and non-current-limiting modes. Both of these problems affect the fault ride-through capability of the converter. Therefore, how to predict these two problems before the grid-type equipment is put into operation is an urgent problem to be solved. Summary of the Invention

[0004] This invention provides a method, apparatus, and electronic device for predicting operational risks of network-type equipment, in order to overcome the shortcomings of existing technologies that make it difficult to predict whether latch-up problems and repeated switching problems exist before network-type equipment is put into operation.

[0005] This invention provides a method for predicting the operational risks of network-type equipment, comprising the following steps.

[0006] Based on the system control parameters corresponding to the network-type equipment, the risk discrimination parameters corresponding to the network-type equipment are determined.

[0007] When the risk discrimination parameter is less than zero, based on the first current reference value of the network-type device in normal operation mode, the first power angle interval corresponding to the network-type device entering the current limiting mode is determined; based on the second current reference value of the network-type device in the current limiting mode, the second power angle interval corresponding to the network-type device exiting the current limiting mode is determined.

[0008] Based on the first power angle interval and the second power angle interval, the operational risk prediction result corresponding to the network-type equipment is determined; the operational risk prediction result is used to characterize whether the network-type equipment has latch-up problems and / or repeated switching problems.

[0009] The operation risk prediction method of the network-forming device provided by the present application includes a latch problem prediction result and a repeated switching problem prediction result; The operation risk prediction result of the network-forming device is determined based on the first power angle interval and the second power angle interval, including: The repeated switching problem prediction result of the network-forming device is determined based on the intersection of the first power angle interval and the second power angle interval; the repeated switching problem prediction result is used to represent whether the network-forming device has a repeated switching problem; In the case that the repeated switching problem prediction result indicates that the network-forming device does not have a repeated switching problem, the latch problem prediction result of the network-forming device is determined based on the second power angle interval and the initial operation power angle corresponding to the network-forming device; the initial operation power angle is determined based on the system control parameter.

[0010] The operation risk prediction method of the network-forming device provided by the present application includes a latch problem prediction result and a repeated switching problem prediction result; The current saturation limit is determined based on the system control parameter and the initial operation power angle; The latch problem prediction result of the network-forming device is determined based on the current saturation value, the current saturation limit, the second power angle interval and the initial operation power angle.

[0011] The operation risk prediction method of the network-forming device provided by the present application includes a latch problem prediction result and a repeated switching problem prediction result; In the case that the current saturation limit is greater than the current saturation value and the initial operation power angle does not belong to the second power angle interval, the latch problem prediction result of the network-forming device is determined as having a latch problem; In the case that the current saturation limit is greater than the current saturation value and the initial operation power angle belongs to the second power angle interval, the latch problem prediction result of the network-forming device is determined as not having a latch problem.

[0012] The operation risk prediction method of the network-forming device provided by the present application includes a latch problem prediction result and a repeated switching problem prediction result; When the current-limiting saturation current is less than or equal to the current saturation value, the third power angle interval corresponding to the grid-type equipment is determined based on the first power angle interval and the initial operating power angle. Based on the intersection of the second power angle interval and the third power angle interval, the latch-up problem prediction result corresponding to the network-type device is determined.

[0013] According to the operational risk prediction method for network-type equipment provided by the present invention, the step of determining the latch-up problem prediction result corresponding to the network-type equipment based on the intersection of the second power angle interval and the third power angle interval includes: When the intersection of the second power angle interval and the third power angle interval is an empty set, the latch-up problem prediction result corresponding to the network-type equipment is determined to be that a latch-up problem exists; If the intersection of the second power angle interval and the third power angle interval is a non-empty set, the latch-up problem prediction result for the network-type device is determined to be that there is no latch-up problem.

[0014] According to the operational risk prediction method for network-type equipment provided by the present invention, determining the prediction result of the repeated switching problem corresponding to the network-type equipment based on the intersection of the first power angle interval and the second power angle interval includes: If the intersection of the first power angle interval and the second power angle interval is a non-empty set, the prediction result of the repeated switching problem corresponding to the network-type equipment is determined to be that there is a repeated switching problem. If the intersection of the first power angle interval and the second power angle interval is an empty set, the prediction result for the repeated switching problem corresponding to the network-type equipment is determined to be that there is no repeated switching problem.

[0015] The present invention also provides an operational risk prediction device for network-type equipment, comprising the following modules.

[0016] The first determining module is used to determine the risk discrimination parameters corresponding to the network-type equipment based on the system control parameters corresponding to the network-type equipment.

[0017] The second determining module is used to determine, when the risk discrimination parameter is less than zero, a first power angle interval corresponding to the grid-type device entering the current limiting mode based on a first current reference value of the grid-type device in normal operation mode; and a second power angle interval corresponding to the grid-type device exiting the current limiting mode based on a second current reference value of the grid-type device in current limiting mode.

[0018] The operation risk prediction module is used to determine the operation risk prediction result corresponding to the network-type equipment based on the first power angle interval and the second power angle interval; the operation risk prediction result is used to characterize whether the network-type equipment has latch-up problems and / or repeated switching problems.

[0019] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the operation risk prediction method for any of the network-type devices described above.

[0020] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the operational risk prediction method for network-type devices as described above.

[0021] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the operation risk prediction method for network-type devices as described above.

[0022] The present invention provides a method, apparatus, and electronic device for predicting operational risks of network-type equipment. Based on the system control parameters corresponding to the network-type equipment, a risk discrimination parameter is determined. When the risk discrimination parameter is less than zero, a first power angle interval for the network-type equipment to enter current-limiting mode is determined based on a first current reference value when the equipment is in normal operation mode. A second power angle interval for the network-type equipment to exit current-limiting mode is determined based on a second current reference value when the equipment is in current-limiting mode. Based on the first and second power angle intervals, an operational risk prediction result is determined to characterize whether the network-type equipment has latch-up problems and / or repeated switching problems. In this invention, by using the relationship between the first power angle interval for entering current-limiting mode and the second power angle interval for exiting current-limiting mode, the possibility of latch-up and repeated switching problems can be determined before the network-type equipment is put into operation, providing early warning. The judgment method is simple and can cover various degrees of short-circuit faults in the network-type equipment, avoiding losses caused by problems after operation. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0024] Figure 1 This is a waveform diagram illustrating latch-up problems in grid-type converters provided by existing technology.

[0025] Figure 2 This is a waveform diagram illustrating the problem of repeated mode switching in existing grid-type converters.

[0026] Figure 3 This is one of the flowcharts illustrating the method for predicting the operational risks of network-type devices provided in this embodiment of the invention.

[0027] Figure 4 This is the second flowchart illustrating the method for predicting the operational risks of network-type equipment provided in this embodiment of the invention.

[0028] Figure 5 This is a schematic diagram of the operational risk prediction device for network-type equipment provided in an embodiment of the present invention.

[0029] Figure 6 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention. Detailed Implementation

[0030] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0031] To address the difficulty in predicting latch-up and repeated switching issues before the operation of network-type equipment in existing technologies, this invention provides a method for predicting the operational risks of network-type equipment. Figure 3 This is one of the flowcharts illustrating the operational risk prediction method for network-type devices provided in this embodiment of the invention, such as... Figure 3 As shown, the method includes steps 310 to 330.

[0032] Step 310: Based on the system control parameters corresponding to the network-type equipment, determine the risk discrimination parameters corresponding to the network-type equipment.

[0033] It should be noted that this grid-type equipment is a grid-type converter based on a priority control current limiter, and the following description will use the grid-type converter as an example. The system control parameters corresponding to this grid-type converter may include line impedance, the power reference value of the grid-type converter, the voltage reference value of the PCC point (Point of Common Coupling), the current saturation value, the phase of the current saturation value set in the priority control current limiter that lags behind the d-axis, the proportional gain in the voltage inner loop PI controller (Proportional Integral controller), and the grid voltage, etc.

[0034] Since grid-type converters may experience latch-up and repeated switching problems both during and after short-circuit faults, in order to comprehensively consider the situations during and after short-circuit faults, in this embodiment of the invention, after obtaining the system control parameters corresponding to the grid-type converter, the risk discrimination parameters corresponding to the grid-type converter are calculated based on the system control parameters using equation (1). Equation (1) is: .

[0035] Where 'a' represents the risk discrimination parameter, U ref U represents the voltage reference value at point PCC. g Indicates the mains voltage, I max Z represents the current saturation value. l This represents the line impedance, and Z... l =X l +jR l X l R represents the line reactance. l This indicates the line resistance.

[0036] After determining the risk assessment parameter, if the risk assessment parameter is greater than or equal to zero, then the grid-type converter will inevitably have latch-up and repeated switching problems. If the risk assessment parameter is less than zero, proceed to steps 320 and 330 for further judgment.

[0037] Step 320: When the risk discrimination parameter is less than zero, based on the first current reference value of the grid-type device in normal operation mode, determine the first power angle interval corresponding to the grid-type device entering the current limiting mode; based on the second current reference value of the grid-type device in the current limiting mode, determine the second power angle interval corresponding to the grid-type device exiting the current limiting mode.

[0038] Specifically, when the risk discrimination parameter is less than zero, the first current reference value is calculated by the voltage loop using equation (2), which is: .

[0039] in, This indicates that the reference current value corresponding to the d-axis in the dq coordinate system is obtained from the operation of the voltage inner loop. This indicates that the current reference value corresponding to the q-axis in the dq coordinate system is obtained from the operation of the voltage inner loop. This represents the first current reference value when the grid-connected converter is in normal operating mode, and this first current reference value is the amplitude. At that time, the grid-type converter was operating in normal operating mode. At that time, the grid-type converter was operating in current-limiting mode, I max Indicates the current saturation value, i d This indicates the actual current corresponding to the d-axis in the dq coordinate system obtained from the voltage inner loop operation, i q This indicates the actual current corresponding to the q-axis in the dq coordinate system obtained from the operation of the voltage inner loop. This represents the reference value of the d-axis voltage at point PCC. This represents the q-axis voltage reference value at point PCC, u. d u represents the actual value of the d-axis voltage at point PCC. q k represents the actual value of the q-axis voltage at point PCC. pl k represents the proportional gain in the voltage inner-loop PI controller. il x represents the integral gain in the voltage inner-loop PI controller. d This represents the d-axis output of the integrator in the inner voltage loop, x. q C represents the q-axis output of the integrator in the inner voltage loop. f Indicates the filter capacitor. Indicates the rated angular frequency.

[0040] When the grid-connected converter is operating in normal operating mode, the first current reference value depends on the grid-connected converter and the grid voltage. The first current reference value is updated from equation (2) to equation (3), which is: .

[0041] Where δ represents the work angle.

[0042] exist When the power angle is calculated, the corresponding power angle interval is determined. This power angle interval is the first power angle interval A corresponding to the grid-type converter entering the current limiting mode, and this first power angle interval A is (δ i δ i +2π), where δ i This represents the lower limit of the power angle at which a grid-type converter enters current-limiting mode, and δ i As shown in equation (4), equation (4) is: .

[0043] Among them, U g0 This indicates the grid voltage under normal operating conditions.

[0044] When the grid-type converter is in current-limiting mode, the second current reference value is calculated by the voltage loop using equation (5), which is: .

[0045] Among them, i dm This represents the d-axis current reference value in current-limiting mode, and i qm This represents the q-axis current reference value in current-limiting mode, and , This indicates that the current saturation value set in the priority control current limiter lags behind the phase of the d-axis. This represents the second current reference value when the grid-type converter is in normal operating mode. When the grid-type converter exits the current limiting mode, calculate the second power angle interval B corresponding to this interval, and this second power angle interval B is [α]. s -θ,α s +θ]. Wherein, And θ is as shown in equation (6), which is: .

[0046] in, .

[0047] Step 330: Based on the first power angle interval and the second power angle interval, determine the operation risk prediction result corresponding to the network-type equipment; the operation risk prediction result is used to characterize whether the network-type equipment has latch-up problems and / or repeated switching problems.

[0048] Specifically, after calculating the first power angle interval and the second power angle interval, the system combines the first power angle interval and the second power angle interval to determine whether the network-type equipment has repeated switching problems and latch-up problems, thereby obtaining the operational risk prediction results.

[0049] The operational risk prediction method for network-type equipment provided in this invention determines risk discrimination parameters for the network-type equipment based on the system control parameters corresponding to the equipment. When the risk discrimination parameters are less than zero, the method determines the first power angle interval for the network-type equipment to enter the current-limiting mode based on the first current reference value when the equipment is in normal operation mode, and determines the second power angle interval for the network-type equipment to exit the current-limiting mode based on the second current reference value when the equipment is in the current-limiting mode. Based on the first and second power angle intervals, the method determines the operational risk prediction result used to characterize whether the network-type equipment has latch-up problems and / or repeated switching problems. In this invention, by using the relationship between the first power angle interval for the network-type equipment to enter the current-limiting mode and the second power angle interval for exiting the current-limiting mode, the method determines whether latch-up problems and repeated switching problems are likely to occur before the network-type equipment is put into operation, thus providing early warning. The judgment method is simple and can cover various degrees of short-circuit faults in the network-type equipment, avoiding losses caused by problems after the equipment is put into operation.

[0050] In one embodiment, the operational risk prediction results include latch-up problem prediction results and repeated switching problem prediction results; The determination of the operational risk prediction results for network-type equipment based on the first power angle interval and the second power angle interval includes: Based on the intersection of the first power angle interval and the second power angle interval, the prediction result of the repeated handover problem corresponding to the network-type equipment is determined; the prediction result of the repeated handover problem is used to characterize whether the network-type equipment has a repeated handover problem. If the prediction result of the repeated switching problem indicates that the network-type device does not have a repeated switching problem, the prediction result of the latch-up problem corresponding to the network-type device is determined based on the second power angle range and the initial operating power angle corresponding to the network-type device; the initial operating power angle is determined based on the system control parameters.

[0051] Specifically, Figure 4 This is a second schematic flowchart of the method for predicting the operational risks of network-type equipment provided in this embodiment of the invention, as shown below. Figure 4 As shown, when the risk discrimination parameter a is less than zero and a short-circuit fault occurs, the grid voltage U... g When =1p.u., determine the intersection of the first power angle interval and the second power angle interval, which is represented as A∩B. Based on whether the intersection is an empty set, determine whether the network-type equipment has a repeated switching problem. If the network-type equipment does not have a repeated switching problem, further determine whether the network-type equipment has a latch-up problem based on the second power angle interval and the initial operating power angle. The initial operating power angle is calculated based on the system control parameters and by solving the equation corresponding to equation (7), which is: .

[0052] Among them, P ref This indicates the power reference value for a grid-type converter. δ represents the impedance angle of the line, and δ0 represents the initial operating power angle to be solved.

[0053] In one embodiment, determining the prediction result of the repeated handover problem corresponding to the network-type equipment based on the intersection of the first power angle interval and the second power angle interval includes: If the intersection of the first power angle interval and the second power angle interval is a non-empty set, the prediction result of the repeated switching problem corresponding to the network-type equipment is determined to be that there is a repeated switching problem. If the intersection of the first power angle interval and the second power angle interval is an empty set, the prediction result for the repeated switching problem corresponding to the network-type equipment is determined to be that there is no repeated switching problem.

[0054] Specifically, such as Figure 4 As shown, if the intersection is a non-empty set, it indicates that the network-type device must have a repeated switching problem, and the judgment ends. If the intersection is an empty set, it indicates that the network-type device does not have a repeated switching problem, and it can be further judged whether the network-type device has a latch-up problem.

[0055] In one embodiment, determining the latch-up problem prediction result corresponding to the network-type device based on the second power angle interval and the initial operating power angle corresponding to the network-type device includes: Based on the system control parameters and the initial operating angle, determine the current-limiting saturation current; Based on the current saturation value, the current-limiting saturation current, the second power angle range, and the initial operating power angle, the latch-up problem prediction result corresponding to the network-type equipment is determined.

[0056] Specifically, such as Figure 4 As shown, using equation (8), the current-limiting saturation current is calculated based on the system control parameters and the initial operating power angle. Equation (8) is: .

[0057] Among them, I pm Indicates the current-limiting saturation current. Represents the steady-state current, and , This represents the decaying current component, and L l Indicates the line inductance, and L l =X l / ω0.

[0058] After determining the current-limiting saturation current, the current-limiting saturation current is compared with the current saturation value to obtain the comparison result. Based on different comparison results, the second power angle range, and the initial operating power angle, it is determined whether the grid-type equipment has a latch-up problem.

[0059] In one embodiment, determining the latch-up problem prediction result corresponding to the network-type equipment based on the current saturation value, the current-limiting saturation current, the second power angle range, and the initial operating power angle includes: If the current-limiting saturation current is greater than the current saturation value and the initial operating power angle does not belong to the second power angle range, the latch-up problem prediction result corresponding to the network-type equipment is determined to be that a latch-up problem exists. If the current-limiting saturation current is greater than the current saturation value and the initial operating power angle belongs to the second power angle range, the latch-up problem prediction result for the network-type equipment is determined to be that there is no latch-up problem.

[0060] Specifically, such as Figure 4 As shown, after comparing the current-limiting saturation current value, if the current-limiting saturation current is greater than the current saturation value, it is further determined whether the initial operating power angle belongs to the second power angle interval. If the initial operating power angle belongs to the second power angle interval, then the grid-type equipment does not have a latch-up problem. If the initial operating power angle does not belong to the second power angle interval, then the grid-type equipment will inevitably have a latch-up problem.

[0061] In one embodiment, determining the latch-up problem prediction result corresponding to the network-type equipment based on the current saturation value, the current-limiting saturation current, the second power angle range, and the initial operating power angle includes: When the current-limiting saturation current is less than or equal to the current saturation value, the third power angle interval corresponding to the grid-type equipment is determined based on the first power angle interval and the initial operating power angle. Based on the intersection of the second power angle interval and the third power angle interval, the latch-up problem prediction result corresponding to the network-type device is determined.

[0062] Specifically, after comparing the current-limiting saturation current value, if the current-limiting saturation current is less than or equal to the current saturation value, then the initial operating power angle is taken as the lower limit of the third power angle interval, and the lower limit of the first power angle interval is taken as the upper limit of the third power angle interval, thus obtaining the third power angle interval, which can be represented as [δ0, δ...]. i Next, the intersection of the third power angle interval and the second power angle interval is determined. Based on whether this intersection is an empty set, it is determined whether the network-type equipment has a latch-up problem.

[0063] In one embodiment, determining the latch-up problem prediction result corresponding to the network-type device based on the intersection of the second power angle interval and the third power angle interval includes: When the intersection of the second power angle interval and the third power angle interval is an empty set, the latch-up problem prediction result corresponding to the network-type equipment is determined to be that a latch-up problem exists; If the intersection of the second power angle interval and the third power angle interval is a non-empty set, the latch-up problem prediction result for the network-type device is determined to be that there is no latch-up problem.

[0064] Specifically, such as Figure 4 As shown, after determining the intersection of the third power angle interval and the second power angle interval, if the intersection is an empty set, it indicates that the network-type equipment must have a latch-up problem; if the intersection is a non-empty set, it indicates that the network-type equipment does not have a latch-up problem.

[0065] The following describes the operation risk prediction device for network-type equipment provided by the present invention. The operation risk prediction device for network-type equipment described below can be referred to in correspondence with the operation risk prediction method for network-type equipment described above.

[0066] This invention also provides an operational risk prediction device for network-type equipment. Figure 5 This is a schematic diagram of the operational risk prediction device for network-type equipment provided in an embodiment of the present invention, as shown below. Figure 5 As shown, the operation risk prediction device 500 of the network-type equipment includes: a first determination module 510, a second determination module 520 and an operation risk prediction module 530.

[0067] The first determining module 510 is used to determine the risk discrimination parameters corresponding to the network-type equipment based on the system control parameters corresponding to the network-type equipment.

[0068] The second determining module 520 is used to determine, based on a first current reference value of the network-type device in normal operation mode, the first power angle interval corresponding to the network-type device entering the current limiting mode; and based on a second current reference value of the network-type device in the current limiting mode, the second power angle interval corresponding to the network-type device exiting the current limiting mode.

[0069] The operation risk prediction module 530 is used to determine the operation risk prediction result corresponding to the network-type equipment based on the first power angle interval and the second power angle interval; the operation risk prediction result is used to characterize whether the network-type equipment has latch-up problems and / or repeated switching problems.

[0070] The operational risk prediction device for network-type equipment provided in this invention determines risk discrimination parameters corresponding to the network-type equipment based on the system control parameters. When the risk discrimination parameters are less than zero, it determines the first power angle interval for the network-type equipment to enter the current-limiting mode based on the first current reference value when the network-type equipment is in normal operation mode, and determines the second power angle interval for the network-type equipment to exit the current-limiting mode based on the second current reference value when the network-type equipment is in the current-limiting mode. Based on the first and second power angle intervals, it determines the operational risk prediction result used to characterize whether the network-type equipment has latch-up problems and / or repeated switching problems. In this invention, by using the relationship between the first power angle interval for the network-type equipment to enter the current-limiting mode and the second power angle interval for exiting the current-limiting mode, it determines whether latch-up problems and repeated switching problems are likely to occur before the network-type equipment is put into operation, thus providing early warning. The judgment method is simple and can cover various degrees of short-circuit faults in the network-type equipment, avoiding losses caused by problems after the equipment is put into operation.

[0071] Optionally, the operational risk prediction results include latch-up problem prediction results and repeated switching problem prediction results.

[0072] Optionally, the risk prediction module 530 is specifically used for: Based on the intersection of the first power angle interval and the second power angle interval, the prediction result of the repeated handover problem corresponding to the network-type equipment is determined; the prediction result of the repeated handover problem is used to characterize whether the network-type equipment has a repeated handover problem. If the prediction result of the repeated switching problem indicates that the network-type device does not have a repeated switching problem, the prediction result of the latch-up problem corresponding to the network-type device is determined based on the second power angle range and the initial operating power angle corresponding to the network-type device; the initial operating power angle is determined based on the system control parameters.

[0073] Optionally, the risk prediction module 530 is specifically used for: Based on the system control parameters and the initial operating angle, determine the current-limiting saturation current; Based on the current saturation value, the current-limiting saturation current, the second power angle range, and the initial operating power angle, the latch-up problem prediction result corresponding to the network-type equipment is determined.

[0074] Optionally, the risk prediction module 530 is specifically used for: If the current-limiting saturation current is greater than the current saturation value and the initial operating power angle does not belong to the second power angle range, the latch-up problem prediction result corresponding to the network-type equipment is determined to be that a latch-up problem exists. If the current-limiting saturation current is greater than the current saturation value and the initial operating power angle belongs to the second power angle range, the latch-up problem prediction result for the network-type equipment is determined to be that there is no latch-up problem.

[0075] Optionally, the risk prediction module 530 is specifically used for: When the current-limiting saturation current is less than or equal to the current saturation value, the third power angle interval corresponding to the grid-type equipment is determined based on the first power angle interval and the initial operating power angle. Based on the intersection of the second power angle interval and the third power angle interval, the latch-up problem prediction result corresponding to the network-type device is determined.

[0076] Optionally, the risk prediction module 530 is specifically used for: When the intersection of the second power angle interval and the third power angle interval is an empty set, the latch-up problem prediction result corresponding to the network-type equipment is determined to be that a latch-up problem exists; If the intersection of the second power angle interval and the third power angle interval is a non-empty set, the latch-up problem prediction result for the network-type device is determined to be that there is no latch-up problem.

[0077] Optionally, the risk prediction module 530 is specifically used for: If the intersection of the first power angle interval and the second power angle interval is a non-empty set, the prediction result of the repeated switching problem corresponding to the network-type equipment is determined to be that there is a repeated switching problem. If the intersection of the first power angle interval and the second power angle interval is an empty set, the prediction result for the repeated switching problem corresponding to the network-type equipment is determined to be that there is no repeated switching problem.

[0078] Figure 6 This is a schematic diagram of the structure of the electronic device provided in the embodiment of the present invention, such as... Figure 6As shown, the electronic device may include: a processor 610, a communications interface 620, a memory 630, and a communication bus 640, wherein the processor 610, communications interface 620, and memory 630 communicate with each other through the communication bus 640. The processor 610 can call logical instructions in the memory 630 to execute a method for predicting the operational risk of a network-type device. This method includes: determining a risk discrimination parameter corresponding to the network-type device based on system control parameters corresponding to the network-type device; when the risk discrimination parameter is less than zero, determining a first power angle interval corresponding to the network-type device entering a current-limiting mode based on a first current reference value of the network-type device in normal operation mode; determining a second power angle interval corresponding to the network-type device exiting the current-limiting mode based on a second current reference value of the network-type device in current-limiting mode; and determining an operational risk prediction result corresponding to the network-type device based on the first power angle interval and the second power angle interval. The operational risk prediction result is used to characterize whether the network-type device has latch-up problems and / or repeated switching problems.

[0079] Furthermore, the logical instructions in the aforementioned memory 630 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0080] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the operation risk prediction method for network-type devices provided by the above methods. The method includes: determining a risk discrimination parameter corresponding to the network-type device based on the system control parameters corresponding to the network-type device; when the risk discrimination parameter is less than zero, determining a first power angle interval corresponding to the network-type device entering a current-limiting mode based on a first current reference value of the network-type device in normal operation mode; determining a second power angle interval corresponding to the network-type device exiting the current-limiting mode based on a second current reference value of the network-type device in current-limiting mode; and determining an operation risk prediction result corresponding to the network-type device based on the first power angle interval and the second power angle interval. The operation risk prediction result is used to characterize whether the network-type device has a latch-up problem and / or a repeated switching problem.

[0081] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon. When executed by a processor, the computer program implements the operational risk prediction method for network-type devices provided by the above methods. The method includes: determining a risk discrimination parameter corresponding to the network-type device based on system control parameters corresponding to the network-type device; when the risk discrimination parameter is less than zero, determining a first power angle interval corresponding to the network-type device entering a current-limiting mode based on a first current reference value of the network-type device in normal operation mode; determining a second power angle interval corresponding to the network-type device exiting the current-limiting mode based on a second current reference value of the network-type device in current-limiting mode; and determining an operational risk prediction result corresponding to the network-type device based on the first power angle interval and the second power angle interval. The operational risk prediction result is used to characterize whether the network-type device has latch-up problems and / or repeated switching problems.

[0082] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0083] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0084] 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 foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method of predicting an operation risk of a networked device, characterized by, The method comprises: determining a risk discrimination parameter corresponding to the network-forming device based on a system control parameter corresponding to the network-forming device; in a case where the risk discrimination parameter is less than zero, determining a first power angle interval corresponding to the network-forming device entering a current-limiting mode based on a first current reference value of the network-forming device in a normal operation mode; determining a second power angle interval corresponding to the network-forming device exiting the current-limiting mode based on a second current reference value of the network-forming device in the current-limiting mode; determining an operation risk prediction result corresponding to the network-forming device based on the first power angle interval and the second power angle interval; the operation risk prediction result is used to represent whether the network-forming device has a latch problem and / or a repeated switching problem. 2.The network configuration device operation risk prediction method according to claim 1, wherein, The operation risk prediction result comprises a latch problem prediction result and a repeated switching problem prediction result. The operation risk prediction result corresponding to the network-forming device is determined based on the first power angle interval and the second power angle interval, comprising: determining a repeated switching problem prediction result corresponding to the network-forming device based on an intersection of the first power angle interval and the second power angle interval; the repeated switching problem prediction result is used to represent whether the network-forming device has a repeated switching problem; in a case where the repeated switching problem prediction result indicates that the network-forming device does not have a repeated switching problem, determining a latch problem prediction result corresponding to the network-forming device based on the second power angle interval and an initial operation power angle corresponding to the network-forming device; the initial operation power angle is determined based on the system control parameter. 3.The network configuration device operation risk prediction method according to claim 2, wherein, The latch problem prediction result corresponding to the network-forming device is determined based on the second power angle interval and the initial operation power angle corresponding to the network-forming device, comprising: determining a current-limiting saturation current based on the system control parameter and the initial operation power angle; determining the latch problem prediction result corresponding to the network-forming device based on a current saturation value, the current-limiting saturation current, the second power angle interval and the initial operation power angle. 4.The network configuration device operation risk prediction method according to claim 3, wherein, The latch problem prediction result corresponding to the network-forming device is determined based on the current saturation value, the current-limiting saturation current, the second power angle interval and the initial operation power angle, comprising: in a case where the current-limiting saturation current is greater than the current saturation value and the initial operation power angle does not belong to the second power angle interval, determining that the latch problem prediction result corresponding to the network-forming device is that there is a latch problem; in a case where the current-limiting saturation current is greater than the current saturation value and the initial operation power angle belongs to the second power angle interval, determining that the latch problem prediction result corresponding to the network-forming device is that there is no latch problem. 5.The network configuration device operation risk prediction method according to claim 3, wherein, The latch problem prediction result corresponding to the network-forming device is determined based on the current saturation value, the current-limiting saturation current, the second power angle interval and the initial operation power angle, comprising: in a case where the current-limiting saturation current is less than or equal to the current saturation value, determining a third power angle interval corresponding to the network-forming device based on the first power angle interval and the initial operation power angle; Determine, based on the intersection of the second power angle interval and the third power angle interval, a prediction result of a latch-up problem corresponding to the network-forming device. 6.The network configuration device operation risk prediction method according to claim 5, wherein, The determination of the prediction result of the latch-up problem corresponding to the network-forming device based on the intersection of the second power angle interval and the third power angle interval comprises: In a case where the intersection of the second power angle interval and the third power angle interval is an empty set, determine that the prediction result of the latch-up problem corresponding to the network-forming device is that there is a latch-up problem; In a case where the intersection of the second power angle interval and the third power angle interval is a non-empty set, determine that the prediction result of the latch-up problem corresponding to the network-forming device is that there is no latch-up problem. 7.The network configuration device operation risk prediction method according to claim 2, wherein, The determination of the prediction result of the repeated switching problem corresponding to the network-forming device based on the intersection of the first power angle interval and the second power angle interval comprises: In a case where the intersection of the first power angle interval and the second power angle interval is a non-empty set, determine that the prediction result of the repeated switching problem corresponding to the network-forming device is that there is a repeated switching problem; In a case where the intersection of the first power angle interval and the second power angle interval is an empty set, determine that the prediction result of the repeated switching problem corresponding to the network-forming device is that there is no repeated switching problem.

8. A device for predicting the operational risk of network-type equipment, characterized in that, Comprise: A first determination module configured to determine, based on system control parameters corresponding to a network-forming device, a risk discrimination parameter corresponding to the network-forming device; A second determination module configured to, in a case where the risk discrimination parameter is less than zero, determine, based on a first current reference value of the network-forming device in a normal operation mode, a first power angle interval corresponding to entry of the network-forming device into a current limiting mode; Determine, based on a second current reference value of the network-forming device in the current limiting mode, a second power angle interval corresponding to exit of the network-forming device from the current limiting mode; A running risk prediction module configured to determine, based on the first power angle interval and the second power angle interval, a running risk prediction result corresponding to the network-forming device; the running risk prediction result is used to represent whether the network-forming device has a latch-up problem and / or a repeated switching problem.

9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and running on the processor, characterized in that, The processor executes the computer program to implement the running risk prediction method of the network-forming device according to any one of claims 1 to 7. 10.A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the running risk prediction method of the network-forming device according to any one of claims 1 to 7.

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