Converter station device suitability verification method based on digital twinning

Abstract

The invention discloses a converter station device adaptability verification method based on digital twinning, and relates to the technical field of converter station management, and the method comprises the following steps: constructing an interface constraint set of a to-be-verified device, and calculating a device adaptation reference index; constructing an equivalent electric stress and an equivalent thermal stress of the device, and calculating to obtain a device adaptation margin; generating a verification scene set for verifying the adaptability of the device; mapping the verification scene set into a standardized digital twinborn verification driving sequence; executing device-level and converter station-level coupling verification, and obtaining an adaptability response track of the device in each verification scene; and comprehensively judging the adaptability of the device in the converter station. According to the method, the unified mapping relation between the device and the converter station system constraint is constructed, and the device interface condition, the operation condition and the system-level response are included in the same digital twin framework for continuous verification, so that the conversion of the device suitability from the static parameter conformity to the dynamic condition consistency is realized.

Description

Technical Field

[0001] This invention relates to the field of converter station management technology, specifically to a converter station device compatibility verification method based on digital twins. Background Technology

[0002] With the continuous improvement of the capacity and voltage level of DC transmission systems, the power devices, control and protection units, and supporting cooling and interface components used in converter stations are characterized by multiple models coexisting, rapid iteration, and cross-manufacturer selection.

[0003] The compatibility verification of existing converter station devices mainly relies on type testing, single-device simulation calculation or experience margin verification, and usually takes whether the rated parameters of the device itself meet the design specifications as the core judgment criterion.

[0004] This type of method has obvious limitations in engineering practice: On the one hand, existing verification methods are mostly device-centric and lack a system-level characterization of the electrical stress, thermal stress and control and protection coordination relationship that the device is subjected to in the specific converter station operating environment. This makes it difficult to reflect the true adaptation status of the device under complex transient conditions and multiple disturbance superposition conditions.

[0005] On the other hand, traditional methods often fragment the verification process into discrete stages such as design verification, simulation analysis, and experimental verification. They lack unified dimensional standards and continuous evaluation indicators, resulting in insufficient comparability of verification conclusions between different schemes and different devices. Furthermore, it is difficult to proactively identify and quantitatively describe potential mismatch risks, thereby increasing the safety uncertainty in the design and operation phases of converter stations. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention provides a method for verifying the compatibility of converter station devices based on digital twins, thereby solving the problems mentioned in the background section.

[0007] To achieve the above objectives, the present invention provides the following technical solution: In a first aspect, the present invention provides a method for verifying the compatibility of converter station devices based on digital twins, comprising the following steps: S1. Based on the digital twin model of the converter station, construct the interface constraint set of the device to be verified, map the interface constraints to the target constraints of the converter station system to form the device consistency residual set, and calculate the device adaptation benchmark index based on the consistency residual set to characterize the initial adaptation degree of the device under the constraints of the converter station system. S2. Based on the device operating conditions generated by the digital twin model, construct the equivalent electrical stress and equivalent thermal stress of the device; adjust the conservatism of the equivalent thermal stress according to the device adaptation benchmark index, calculate the device adaptation margin, and use it to quantify the safety margin of the device under the converter station operating conditions. S3. Based on the device adaptation margin, generate a set of verification scenarios for device adaptability verification, and determine the execution priority of each verification scenario according to the device adaptation margin. S4. Determine the driving intensity level of each verification scenario and map the set of verification scenarios into a standardized digital twin verification driving sequence. S5. Based on the digital twin verification driving sequence, synchronously perform coupled verification at the device level and the converter station system level to obtain the device's adaptability response trajectory in various verification scenarios. S6. Based on the adaptability response trajectory, a comprehensive judgment is made on the adaptability of the device in the converter station.

[0008] To further optimize this technical solution, in step S1, each element in the interface constraint set... Each corresponds to a converter station system target constraint. The mapping is performed, and the device consistency residual is calculated as follows:

[0009] in, For elements Device consistency residuals; For elements The standardization quantity, and the element Same dimension; The elements in the interface constraint set include rated voltage / current boundaries, upper limit of allowable ripple current, overvoltage tolerance for shutdown, allowable switching frequency range, thermal resistance network parameters, inlet temperature range of cooling medium, mechanical installation dimensions and creepage distance requirements, signal level and timing window, and protection action time coordination window.

[0010] To further optimize this technical solution, in step S1, the device adaptation benchmark index is calculated based on the consistency residual set, and the calculation method is as follows:

[0011] in, The device adaptation reference index has a value between 0 and 1. The larger the value, the closer it is to the center of the station-end constraint feasible region. The total number of elements; These are the weighting coefficients; This is a piecewise penalty function used to distinguish between two cases: "minor deviations can be compensated by control" and "hard over-limits cannot be compensated by control".

[0012] To further optimize this technical solution, in step S2, the minimum closed-loop variables of equivalent electrical stress and thermal stress are established for the needle device in the digital twin model: The equivalent current is obtained from the electromagnetic transient solution of the converter station twin or the waveform reconstruction of the control stage, and is calculated on the evaluation window. The equivalent loss is obtained from the device datasheet or type test curve fitting, which yields the on-state equivalent resistance and switching energy coefficient. The switching frequency is given by the twin control strategy, and the calculation is performed accordingly. The junction temperature is calculated using a single equivalent thermal resistance and the cooling inlet temperature.

[0013] To further optimize this technical solution, in step S3, the set of verification scenarios includes electrical stress verification scenarios, thermal disturbance verification scenarios, and protection coordination verification scenarios. Define a clear criterion chain for each verification scenario: The temperature rise criterion clearly specifies the observables, window length, and triggering conditions; The electrical stress criterion is defined by peak overvoltage, number of repeated overvoltage cycles, and root mean square of ripple current. The protection collaboration criterion defines the acceptable set of sequential relationships between actions.

[0014] To further optimize this technical solution, in step S4, the driving intensity level is used to describe the degree of deviation of the scene disturbance from the rated operating condition; Determine the driving strength level for each verification scenario, including: When the adaptation margin is close to 1 or less than the preset safety threshold, the driving strength is defined as high level; when the adaptation margin is significantly greater than the safety threshold, the driving strength is medium or low level.

[0015] To further optimize this technical solution, in step S4, the verification driving sequence includes the disturbance introduction timing, duration, and recovery method; In electrical stress scenarios, the verification of the drive sequence clearly shows that "the DC voltage step occurs within a fixed delay after the control mode switch"; In thermal disturbance scenarios, the verification driving sequence clearly shows that "the change in cooling inlet temperature precedes the change in electrical load by a certain time window"; In protection and collaborative scenarios, the verification driving sequence clearly states that "the setpoint deviation disturbance occurs in the stable operating range of the system rather than in the initial transient state".

[0016] To further optimize this technical solution, step S5, the coupling verification between the device level and the converter station system level, includes: The digital twin platform runs device-level twins and converter station system-level twins in parallel. The device-level twins are used to describe the dynamic response of candidate devices at the electrical, thermal, and control interface levels; the converter station system-level twins are used to describe control strategies, protection logic, power flow distribution, and cooling system behavior; and the drive sequences are verified to be strictly aligned on the time axis. During the verification process, the observations and criteria defined in the previous steps are reused to form an adaptive response trajectory: this trajectory describes the evolution of the observations over time during the entire verification process, and whether, when, and by what mechanism the criterion boundary is touched or approached. Each response trajectory is bound to its corresponding adaptation margin and stored.

[0017] To further optimize this technical solution, in step S6, a comprehensive assessment of the device's compatibility in the converter station is performed, including: For each response trajectory, compare it item by item according to the criteria in step S3 to determine whether the criteria are triggered, approximated or significantly reduced within the corresponding observation window; Subsequently, the judgment result is cross-validated with the initial fit margin. If a low fit margin corresponds to a high-risk trajectory, it indicates that the previous fit margin assessment is consistent. If an abnormal trajectory still occurs with a high fit margin, it suggests that there are mismatch factors in the device that are not fully covered by the initial constraint.

[0018] To further optimize this technical solution, in step S6, the device compatibility verification conclusion is comprehensively determined, and this conclusion includes: The device's compatibility level in the target converter station is determined, the main limiting factors of the compatibility boundary are explained, and under what operating conditions additional engineering constraints or derating is required.

[0019] In a second aspect, the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program instructions are executed by the processor, they implement the steps of a converter station device adaptability verification method based on digital twin as described in the first aspect of the present invention.

[0020] Thirdly, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program instructions are executed by a processor, they implement the steps of a converter station device adaptability verification method based on digital twin as described in the first aspect of the present invention.

[0021] Compared with existing technologies, this invention provides a method for verifying the compatibility of converter station devices based on digital twins, which has the following advantages: This digital twin-based converter station device compatibility verification method constructs a unified mapping relationship between devices and converter station system constraints. It incorporates device interface conditions, operating conditions, and system-level responses into the same digital twin framework for continuous verification, realizing the transformation of device compatibility from static parameter compliance to dynamic operating condition consistency. This method can proactively reveal potential mismatch boundaries of devices in the actual converter station environment during the design and verification stages, and supports comparative analysis between different devices and solutions with a unified and traceable index system. This improves the reliability of converter station device selection and solution demonstration, reduces engineering operation risks, and has significant engineering application value. Attached Figure Description

[0022] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a flowchart illustrating a converter station device compatibility verification method based on digital twin proposed in this invention. Detailed Implementation

[0024] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0025] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0026] Secondly, the term "an embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places throughout this specification does not necessarily refer to the same embodiment, nor is it a single embodiment or an embodiment selectively excluded from other embodiments.

[0027] Example 1: Reference Figure 1 This is the first embodiment of the present invention, which provides a method for verifying the compatibility of converter station devices based on digital twins, including the following steps: S1. Based on the digital twin model of the converter station, construct the interface constraint set of the device to be verified, map the interface constraints to the target constraints of the converter station system to form the device consistency residual set, and calculate the device adaptation benchmark index based on the consistency residual set to characterize the initial adaptation degree of the device under the constraints of the converter station system.

[0028] In the digital twin-based device compatibility verification of converter stations, the primary challenge is not "making the device model more refined," but rather ensuring that the device has verifiable compatibility boundaries under three types of constraints: interface conditions, operating conditions, and protection coordination within the converter station. Specifically, for candidate devices (such as power semiconductor valve assemblies, DC support capacitors, AC filter reactors, triggering and control boards, etc.), a set of interface constraints is defined in the digital twin.

[0029] Each element in the interface constraint set Each corresponds to a converter station system target constraint. The mapping is performed, and the device consistency residual is calculated as follows:

[0030] in, For elements Device consistency residuals; For elements The standardization quantity, and the element Dimensional; obtained from station design documents, equipment type test indicators, or historical operation calibration statistics; if it is an element such as size / temperature / voltage, then the allowable deviation or standard limit value of the project is directly taken.

[0031] The elements in the interface constraint set may include rated voltage / current boundaries, upper limit of allowable ripple current, overvoltage tolerance for shutdown, allowable range of switching frequency, thermal resistance network parameters, inlet temperature range of cooling medium, mechanical installation dimensions and creepage distance requirements, signal level and timing window, and protection action time coordination window, etc.

[0032] This step does not directly calculate the norm of the residuals. Instead, it introduces "feasible region mapping" and "over-limit penalty" to calculate the device adaptation benchmark index based on the consistent residual set. The calculation method is as follows:

[0033] in, The device adaptation reference index has a value between 0 and 1. The larger the value, the closer it is to the center of the station constraint feasible region.

[0034] This represents the total number of elements.

[0035] The weighting coefficient is obtained by normalizing the constraint importance ranking from the converter station design side. For example, protection timing and thermal constraints can be assigned higher weights. The weights can be obtained by normalizing the evaluation results of "station failure cost / outage cost".

[0036] This is a piecewise penalty function used to distinguish between two cases: "minor deviations can be compensated by control" and "hard overshoots cannot be compensated." The suggested form is: When hour ,when hour ,in This is a dimensionless penalty multiplier, set by the website's risk appetite.

[0037] so, It simultaneously serves three purposes: first, it unifies multi-source constraints to a dimensionless and comparable scale; second, it determines whether a constraint is "hardly exceeded" through... Explicit coding provides constraint triggering conditions for subsequent scene generation; thirdly, it enables simulation to no longer blindly pursue full accuracy under all working conditions, but to focus on the "constraint direction most likely to mismatch".

[0038] S2. Based on the device operating conditions generated by the digital twin model, construct the equivalent electrical stress and equivalent thermal stress of the device; adjust the conservatism of the equivalent thermal stress according to the device adaptation benchmark index, and calculate the device adaptation margin to quantify the safety margin of the device under converter station operating conditions.

[0039] Compatibility verification cannot stop at static alignment; it must delve into the level of "dynamic stress driven by operating conditions": mismatches in converter station components often occur under combined conditions such as transients, ripple superposition, protection switching, and cooling disturbances. The degree of conservatism and margin reduction in the simulated stress determines the consistency; the worse the consistency, the greater the risk. The smaller the value, the higher the conservative reduction should be introduced in the simulation to cover the uncertainty.

[0040] In the digital twin model, establish the minimum closed-loop variables for equivalent electrical and thermal stresses of the needle device: Equivalent current The device current waveform is obtained from the electromagnetic transient solution of the converter station twin or the waveform reconstruction of the control stage. During the evaluation window Above calculation;

[0041] equivalent loss The on-state equivalent resistance is obtained from the device datasheet or by fitting the type test curve. With switching energy coefficient The switching frequency is given by the twin control strategy. Perform calculations;

[0042] Junction temperature Using a single equivalent thermal resistance (Obtained from equivalent thermal resistance network of the device or thermal test calibration) and cooling inlet temperature (Calculations are performed using the output from the station-end cooling system twin in the same window);

[0043] Define conservative reduction factor This is used to map static consistency insufficiency to dynamic margin reduction:

[0044] in, The sensitivity coefficient (obtained by: statistical analysis of historical failures of similar converter stations or design-side safety margin strategies, for example, by setting the additional conservatism corresponding to the "worst consistent sample" as a certain proportion for reverse calculation). Based on the reduction factor, the fit margin is defined. (The larger the value, the safer; to ensure dimensional consistency, the ratio of "allowable upper limit - actual value" is used): Let the allowable junction temperature upper limit of the device be... (Based on the device's rated or derating curve), then

[0045] when The smaller, The larger the value, the stronger the reduction in equivalent temperature rise, resulting in a smaller value. This triggers more stringent verification scenarios and criterion priorities. Finally, this step outputs... (and accompanying) , , As a traceable intermediate quantity, it is written into the "adaptation margin channel" of the twin, so that the next step can directly call it to generate a set of verification scenarios and criteria.

[0046] S3. Based on the device adaptation margin, generate a set of verification scenarios for device adaptability verification, and determine the execution priority of each verification scenario according to the device adaptation margin.

[0047] The key to the verification method lies not in "running through all operating conditions," but in constructing a set of scenarios that exert falsification pressure on the compatibility conclusion: if the device does indeed have a mismatch risk, it should be exposed with a higher probability in these scenarios; if the device is indeed compatible, it should maintain sufficient margin in these scenarios and be able to explain the reason for this. Therefore, the focus is on... Establish a "scenario-criteria priority" mapping mechanism.

[0048] The set of verification scenarios includes electrical stress verification scenarios (e.g., control mode switching point, DC voltage step amplitude, AC side fault ride-through type, commutation failure recovery strategy, trigger pulse phase deviation boundary, etc.), thermal disturbance verification scenarios (e.g., cooling inlet temperature step, flow rate reduction ratio, radiator blockage equivalent thermal resistance increment, ambient temperature rise slope, etc.), and protection coordination verification scenarios (e.g., protection setting threshold deviation, action delay jitter range, bypass trigger logic switching conditions, etc.). The selection principles for all the above parameters are based on… Driver: When When the value is close to or less than 1, it means that the temperature rise margin is insufficient or approaching the limit, and priority should be given to selecting products that can significantly raise the temperature. or or The combination of scenes makes Easier to approach ;when When the value is significantly greater than 1, it indicates that the thermal margin is sufficient. In this case, the focus of the scenario shifts to the interface / protection collaboration class to verify that there is no abnormal stress superposition caused by false triggering, false shutdown, or timing mismatch.

[0049] Define a clear criterion chain for each verification scenario: The temperature rise criterion clearly specifies the observables (such as the junction temperature estimate obtained by mapping the twin to the measured value or the heat sink temperature rise), the window length, and the triggering conditions (such as the peak temperature rise within the window after a DC voltage step). The electrical stress criterion is defined by peak overvoltage, number of repeated overvoltage cycles, and root mean square of ripple current. The protection collaboration criterion defines the acceptable set of sequential relationships between actions.

[0050] More importantly, this step will The "monotonic scale" used as a criterion for priority: when The smaller the value, the more important it is to prioritize temperature rise and loss correlation criteria, and to add thermal / electrical coupling perturbations to the scenario combinations; when The larger the scale, the more important it is to prioritize interface timing and protection coordination criteria, and to add logic switching and latency jitter disturbances in scenario combinations. In this way, subsequent steps do not need to re-explain "why these experiments are done first," but instead directly use the priority mapping output from this step as input for orchestration and closed-loop verification. Ultimately, the output of this step is... Define the set of indexed scenarios, the parameter boundaries and triggering conditions for each scenario, and the criterion sequence and observation caliber.

[0051] S4. Determine the driving intensity level of each verification scenario and map the set of verification scenarios into a standardized digital twin verification driving sequence.

[0052] After completing the structured definition of the adaptability verification scenarios and criteria priorities, the next key issue is not to immediately carry out verification, but how to ensure that different scenarios are "driven in a consistent manner" in digital twins, so as to ensure that the verification results of different devices and different solutions are comparable and reproducible.

[0053] The drive strength level describes the degree of deviation of the scenario disturbance from the rated operating condition. When the adaptation margin is close to 1 or less than the preset safety threshold, the drive strength is defined as high level; when the adaptation margin is significantly greater than the safety threshold, the drive strength is medium or low level. The technical significance of this is that digital twin verification does not "apply the most extreme conditions to all devices equally," but rather adaptively allocates verification pressure according to the current adaptation state of the device, thereby avoiding meaningless over-simulation.

[0054] The verification driving sequence includes the perturbation introduction timing, duration, and recovery method; In electrical stress scenarios, the verification of the drive sequence clearly shows that "the DC voltage step occurs within a fixed delay after the control mode switch"; In thermal disturbance scenarios, the verification driving sequence clearly shows that "the change in cooling inlet temperature precedes the change in electrical load by a certain time window"; In protection and collaborative scenarios, the verification driving sequence clearly states that "the setpoint deviation disturbance occurs in the stable operating range of the system rather than in the initial transient state".

[0055] S5. Based on the digital twin verification drive sequence, synchronously perform coupled verification at the device level and the converter station system level to obtain the device's adaptability response trajectory in various verification scenarios.

[0056] Coupling verification at the device level and the converter station system level, ensuring that the verification results reflect the "adaptation status of the device in the actual converter station role," rather than isolated device performance, includes: The digital twin platform runs device-level twins and converter station system-level twins in parallel. The device-level twin describes the dynamic response of candidate devices at the electrical, thermal, and control interface levels; the converter station system-level twin describes the control strategy, protection logic, power flow distribution, and cooling system behavior. These two systems do not run independently but are strictly aligned on the time axis through the driving sequence solidified in the previous step. This ensures that, for example, a momentary rise in junction temperature corresponds not only to changes in device losses but also to changes in system-side control actions, power reallocation, or protection states.

[0057] During the verification process, the observations and criteria defined in the previous steps are reused, such as junction temperature correlation, equivalent electrical stress index, and protection action sequence, to form an adaptive response trajectory. This trajectory describes the evolution of the observations over time during the entire verification process, as well as whether, when, and by what mechanism the criterion boundary is reached or approached.

[0058] Each response trajectory is bound to its corresponding fit margin and stored. The significance of this is to provide causal clues for subsequent analysis: if a device exhibits an abnormal response under high drive intensity, its initial fit margin level can be directly traced; conversely, if the device exhibits an abnormal response under low drive intensity... The fact that it remains stable under certain conditions can also serve as strong evidence of adaptive redundancy.

[0059] S6. Based on the adaptability response trajectory, a comprehensive judgment is made on the adaptability of the device in the converter station.

[0060] A comprehensive assessment of the device's compatibility in the converter station is conducted, including: For each response trajectory, it is compared item by item according to the criteria in step S3 to determine whether the criterion is triggered, approximated, or the margin is significantly reduced within the corresponding observation window. The emphasis here is on the "relationship between trajectory shape and criterion boundary", rather than whether the value at a single point exceeds the limit. For example, even if the junction temperature does not exceed the allowable upper limit, if it repeatedly approaches the boundary in multiple scenarios and shows an unfavorable trend, it will still be marked as a potential adaptation risk.

[0061] Subsequently, the judgment result was compared with the initial... Perform cross-validation; if low The corresponding high-risk trajectory indicates that the prior adaptation margin assessment is consistent; if high If abnormal trajectories still occur, it indicates that there is a mismatch factor in the device that is not fully covered by the initial constraint.

[0062] The overall conclusion of the device compatibility verification includes: The system determines the compatibility level of devices in the target converter station, explains the main limiting factors of the compatibility boundary, and identifies the conditions under which additional engineering constraints or derating are required. This conclusion can be directly applied to device selection, scheme comparison, or review and evaluation for converter stations. Furthermore, because the entire process is based on a unified digital twin model and a continuous indicator system, it possesses excellent traceability and reusability.

[0063] Example 2: Based on the digital twin-based converter station device compatibility verification method described in Example 1, a ±500 kV DC converter station is used as an application scenario to verify the compatibility of a valve control unit device to be selected.

[0064] First, based on the system design documents, control and protection configuration schemes, and cooling system parameters of the target converter station, a digital twin model of the converter station is constructed. This digital twin model includes at least the main electrical wiring structure, control strategy logic, protection action logic, and cooling system operation model, used to reflect the actual behavior of the converter station under different operating conditions.

[0065] For the valve control unit device to be verified, interface constraint parameters directly related to the converter station system are extracted in the digital twin environment to form a device interface constraint set. In this embodiment, the interface constraint set includes: device rated operating voltage, current carrying capacity, allowable ripple current range, junction temperature limit, thermal resistance parameter, allowable temperature range of cooling medium, trigger and shutdown signal timing windows, and protection action coordination requirements, etc.

[0066] Subsequently, the aforementioned device interface constraints and the target constraints of the converter station system are processed in a unified manner. Specifically, the target parameters required by the converter station system design are used as a reference benchmark to map the device interface constraints, resulting in a set of consistency residuals. To avoid distortion in adaptation judgment due to simple comparison, a differentiation mechanism is introduced into the consistency residuals to distinguish between deviations that can be compensated for through control or cooling adjustments and uncompensable over-limit states.

[0067] Based on this, and according to the distribution of consistency residuals, the device adaptation benchmark index is calculated. The adaptation benchmark index is used to characterize the overall consistency level of the device under multiple constraints in the converter station. The larger the value, the closer the device is to the feasible center region of the converter station constraint space.

[0068] Obtaining device compatibility benchmark index Subsequently, the operating state of the device is reconstructed under different typical operating conditions using a digital twin model, including steady-state operation, power fluctuations, control mode switching, and short-term disturbances. During this process, the equivalent electrical stress parameters and equivalent thermal stress parameters of the device under the above operating conditions are extracted to characterize the load conditions of the device in the system-level operating environment.

[0069] Considering the differences in interface consistency among different devices, this embodiment introduces an adaptation benchmark index. The relevant adjustment mechanism corrects the conservatism of the equivalent thermal stress. Specifically, when the adaptation benchmark index is low, the conservatism of the thermal stress assessment is appropriately increased to cover the uncertainty caused by interface inconsistencies; when the adaptation benchmark index is high, the conservatism is reduced accordingly to avoid excessively amplifying the verification pressure.

[0070] After completing the above adjustments, the device fit margin is calculated. It is used to quantify the safety margin of devices under the operating conditions of the target converter station.

[0071] Based on the device fit margin obtained in step S2 A set of verification scenarios for device compatibility verification is constructed in a digital twin environment. These verification scenarios are categorized into three types based on their verification objectives: electrical stress verification scenarios, thermal disturbance verification scenarios, and protection coordination verification scenarios.

[0072] When constructing verification scenarios, a fixed test case library is not used. Instead, the drive strength level and execution priority of various verification scenarios are determined based on the size of the adaptation margin. When the adaptation margin is low, verification scenarios that have a greater impact on the thermal and electrical stress of the device are selected first, and a higher drive strength is set. When the adaptation margin is high, protection coordination verification scenarios are selected first to verify the adaptability of the device under complex control and protection coordination conditions.

[0073] Subsequently, the above verification scenarios are mapped to standardized digital twin verification drive sequences. Each verification drive sequence uses a predefined timing template, which includes at least the disturbance introduction time, disturbance duration, and disturbance recovery method. Different devices use structurally consistent timing templates during the verification process, adjusting only the drive strength level, thereby ensuring the comparability and reproducibility of the verification results.

[0074] After completing the verification drive sequence configuration, coupled verification at the device level and the converter station system level is performed synchronously in the digital twin platform. Specifically, during the verification process, the device-level model is used to reflect the dynamic response of the device under electrical and thermal stress, while the converter station system-level model is used to reflect the overall changes in control strategies, protection logic, and power distribution.

[0075] By executing the verification drive sequence, the device's adaptability response trajectory under various verification scenarios is obtained. This adaptability response trajectory includes at least the process data of the device's key state parameters changing over time, as well as the response status of system-level behavior under the corresponding scenario. The above response trajectories are recorded under a unified time reference and observation caliber for subsequent comprehensive judgment.

[0076] After obtaining the device adaptability response trajectory, the adaptability of the device in the converter station is comprehensively judged based on preset criteria. The criteria are not a single threshold judgment, but an analysis that combines the overall trend of the response trajectory, the boundary approach situation, and the consistency performance in multiple scenarios.

[0077] When a device does not exhibit any abnormal trajectories exceeding the criteria requirements in any verification scenario, and its response trajectory is consistent with the initial fit margin assessment result, the device is deemed to be compatible with the target converter station. When a device exhibits significantly adverse responses in some verification scenarios, or when its response trajectory deviates significantly from the initial fit margin assessment, the device is deemed to have a fit risk, and corresponding engineering restriction suggestions are given.

[0078] In summary, this invention realizes a device compatibility verification method for converter stations based on digital twins, which enables the device compatibility verification process to have clear engineering logic, good reproducibility and high licensing stability.

[0079] Example 3: This embodiment also provides a computer device applicable to a converter station device adaptability verification method based on digital twins, including a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the converter station device adaptability verification method based on digital twins as proposed in the above embodiment.

[0080] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements a converter station device compatibility verification method based on digital twins as proposed in the above embodiments.

[0081] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0082] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, 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 of the various embodiments of this 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.

[0083] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0084] More specific examples (a non-exhaustive list) of computer-readable media include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0085] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0086] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for verifying the compatibility of converter station devices based on digital twins, characterized in that, Includes the following steps: S1. Based on the digital twin model of the converter station, construct the interface constraint set of the device to be verified, map the interface constraints to the target constraints of the converter station system to form the device consistency residual set, and calculate the device adaptation benchmark index based on the consistency residual set to characterize the initial adaptation degree of the device under the constraints of the converter station system. S2. Based on the device operating conditions generated by the digital twin model, construct the equivalent electrical stress and equivalent thermal stress of the device; adjust the conservatism of the equivalent thermal stress according to the device adaptation benchmark index, calculate the device adaptation margin, and use it to quantify the safety margin of the device under the converter station operating conditions. S3. Based on the device adaptation margin, generate a set of verification scenarios for device adaptability verification, and determine the execution priority of each verification scenario according to the device adaptation margin. S4. Determine the driving intensity level of each verification scenario and map the set of verification scenarios into a standardized digital twin verification driving sequence. S5. Based on the digital twin verification driving sequence, synchronously perform coupled verification at the device level and the converter station system level to obtain the device's adaptability response trajectory in various verification scenarios. S6. Based on the adaptability response trajectory, a comprehensive judgment is made on the adaptability of the device in the converter station.

2. The method for verifying the device compatibility of a converter station based on digital twins according to claim 1, characterized in that, In step S1, each element in the interface constraint set Each corresponds to a converter station system target constraint. The mapping is performed, and the device consistency residual is calculated as follows: ； in, For elements Device consistency residuals; For elements The standardization quantity, and the element Same dimension; The elements in the interface constraint set include rated voltage / current boundaries, upper limit of allowable ripple current, overvoltage tolerance for shutdown, allowable switching frequency range, thermal resistance network parameters, inlet temperature range of cooling medium, mechanical installation dimensions and creepage distance requirements, signal level and timing window, and protection action time coordination window.

3. The method for verifying the device compatibility of a converter station based on digital twins according to claim 1, characterized in that, In step S1, the device adaptation benchmark index is calculated based on the consistency residual set, and the calculation method is as follows: ； in, The device adaptation reference index has a value between 0 and 1. The larger the value, the closer it is to the center of the station-end constraint feasible region. The total number of elements; These are the weighting coefficients; This is a piecewise penalty function used to distinguish between two cases: "slight deviations can be compensated by control" and "hard over-limits cannot be compensated by control".

4. The method for verifying the device compatibility of a converter station based on digital twins according to claim 1, characterized in that, In step S2, the minimum closed-loop variables of equivalent electrical stress and thermal stress are established for the needle device in the digital twin model: The equivalent current is obtained from the electromagnetic transient solution of the converter station twin or the waveform reconstruction of the control stage, and is calculated on the evaluation window. The equivalent loss is obtained from the device datasheet or type test curve fitting, which yields the on-state equivalent resistance and switching energy coefficient. The switching frequency is given by the twin control strategy, and the calculation is performed accordingly. The junction temperature is calculated using a single equivalent thermal resistance and the cooling inlet temperature.

5. The method for verifying the device compatibility of a converter station based on digital twins according to claim 1, characterized in that, In step S3, the set of verification scenarios includes electrical stress verification scenarios, thermal disturbance verification scenarios, and protection coordination verification scenarios. Define a clear criterion chain for each verification scenario: The temperature rise criterion clearly specifies the observables, window length, and triggering conditions; The electrical stress criterion is defined by peak overvoltage, number of repeated overvoltage cycles, and root mean square of ripple current. The protection collaboration criterion defines the acceptable set of sequential relationships between actions.

6. The method for verifying the device compatibility of a converter station based on digital twins according to claim 1, characterized in that, In step S4, the drive intensity level is used to describe the degree of deviation of the scene disturbance from the rated operating condition. Determine the driving strength level for each verification scenario, including: When the adaptation margin is close to 1 or less than the preset safety threshold, the driving strength is defined as high level; When the adaptation margin is significantly greater than the safety threshold, the driving intensity is medium or low.

7. The method for verifying the device compatibility of a converter station based on digital twins according to claim 1, characterized in that, In step S4, the verification driving sequence includes the disturbance introduction timing, duration, and recovery method; In electrical stress scenarios, the verification of the drive sequence clearly shows that "the DC voltage step occurs within a fixed delay after the control mode switch"; In thermal disturbance scenarios, the verification driving sequence clearly shows that "the change in cooling inlet temperature precedes the change in electrical load by a certain time window"; In protection and collaborative scenarios, the verification driving sequence clearly states that "the setpoint deviation disturbance occurs in the stable operating range of the system rather than in the initial transient state".

8. The method for verifying the device compatibility of a converter station based on digital twins according to claim 1, characterized in that, In step S5, the coupling verification between the device level and the converter station system level includes: The digital twin platform runs device-level twins and converter station system-level twins in parallel. The device-level twins are used to describe the dynamic response of candidate devices at the electrical, thermal, and control interface levels; the converter station system-level twins are used to describe control strategies, protection logic, power flow distribution, and cooling system behavior; and the drive sequences are verified to be strictly aligned on the time axis. During the verification process, the observations and criteria defined in the previous steps are reused to form an adaptive response trajectory: this trajectory describes the evolution of the observations over time during the entire verification process, and whether, when, and by what mechanism the criterion boundary is touched or approached. Each response trajectory is bound to its corresponding adaptation margin and stored.

9. The method for verifying the device compatibility of a converter station based on digital twins according to claim 1, characterized in that, In step S6, a comprehensive assessment of the device's compatibility in the converter station is performed, including: For each response trajectory, compare it item by item according to the criteria in step S3 to determine whether the criteria are triggered, approximated or significantly reduced within the corresponding observation window; Subsequently, the judgment result is cross-validated with the initial fit margin. If a low fit margin corresponds to a high-risk trajectory, it indicates that the previous fit margin assessment is consistent. If an abnormal trajectory still occurs with a high fit margin, it suggests that there are mismatch factors in the device that are not fully covered by the initial constraint.

10. The method for verifying the device compatibility of a converter station based on digital twins according to claim 1, characterized in that, In step S6, the comprehensive determination of the device compatibility verification conclusion includes: The device's compatibility level in the target converter station is determined, the main limiting factors of the compatibility boundary are explained, and under what operating conditions additional engineering constraints or derating is required.

Images