Direct-current measurement equipment control method of high-voltage direct-current control system

Abstract

The invention discloses a direct-current measurement equipment control method of a high-voltage direct-current control system, which relates to the technical field of direct-current measurement equipment, and comprises the following steps: S1, carrying out credibility coefficient calculation on measurement signals of different optical fiber channels; s2, establishing a protection signal fusion model; s3, establishing a dual-condition logic switching model; s4, constructing a time domain variable coefficient model, and outputting a system risk coefficient; s5, performing redundancy switching and data compensation of the system when the main channel is abnormal; and S6, a self-protection state regulation and control model is constructed, and automatic pressing plate input and self-recovery operation are achieved. According to the invention, full-link adaptive control from a signal layer to a logic layer is realized, and signal credibility can be automatically identified and smooth channel switching can be executed when error codes, delay or unstable board card energy supply occurs in any channel; and meanwhile, when the system is in a high-risk or maintenance state, automatic input of the pressing plate and self-recovery control of the system are realized through the self-protection state regulation and control model.

Description

Technical Field

[0001] This invention relates to the field of DC measurement equipment technology, specifically to a control method for DC measurement equipment in a high-voltage DC control system. Background Technology

[0002] High-voltage direct current (HVDC) transmission systems, as an important technology for long-distance, high-capacity power transmission, rely on high-precision DC measurement equipment for real-time acquisition and transmission of voltage, current, and protection signals in their core control units. Existing DC measurement equipment typically employs a structure of photoelectric transformers + fiber optic communication links + laser-powered boards, achieving signal isolation and transmission through photoelectric conversion. However, under long-term operation and complex electromagnetic environments, this type of system suffers from the following significant technical shortcomings: First, the reliability of the laser power supply board in the electronic instrument transformer is insufficient. In a high-voltage DC control environment, the laser power supply module must withstand high temperatures, strong electromagnetic interference, and high-frequency vibrations for extended periods, making its light source stability and photoelectric conversion efficiency highly susceptible to degradation. When the power supply board experiences power attenuation or increased optical path loss, unstable power supply to the measurement module will lead to abnormal signal acquisition or even system lockout, directly threatening the safety and continuous operation of the DC control system.

[0003] Secondly, the measurement channel redundancy is low, and the system is highly vulnerable. Currently, most high-voltage DC control systems are equipped with only a single measurement channel and merging unit. When an anomaly occurs in this channel, such as bit errors, frame loss, or fiber optic aging, the main controller will directly trigger a critical alarm and shut down, causing the system to enter a single-system operation mode, significantly reducing reliability. Furthermore, during maintenance, to prevent signal interference, the main control system usually needs to shut down or disconnect the channel for isolation. This process causes the entire DC system to temporarily lose its protection judgment capability, posing a risk of lockout and maintenance safety hazards.

[0004] In summary, existing technologies lack a systematic control mechanism for multi-channel signal fusion, adaptive fault tolerance, and automatic protection and regulation. This results in insufficient operational continuity and self-recovery capability of the high-voltage DC control system under conditions of fiber optic communication anomalies, board aging, and maintenance, making it difficult to meet the long-term stable operation requirements of intelligent, unattended converter stations. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a control method for DC measurement equipment in a high-voltage DC control system, thereby solving the problems mentioned in the background section.

[0006] To achieve the above objectives, the present invention provides the following technical solution: In a first aspect, the present invention provides a method for controlling a DC measurement device in a high-voltage DC control system, comprising the following steps: S1. The main control unit of the high voltage DC control system receives measurement signals from different fiber optic channels and calculates the reliability coefficient of the measurement signals. S2. After obtaining the credibility coefficient, establish a protection signal fusion model and output the fused signal output. S3. Establish a dual-condition logic switching model to achieve adaptive control of UDL output based on the current signal state; S4. Based on the real-time output value of UDL, construct a time-domain coefficient of variation model, output the system risk coefficient, and provide early warning for minor anomalies; S5. Utilize the system risk coefficient to perform redundancy switching and data compensation when the main channel is abnormal. S6. Using the compensated signal output value as input, construct a self-protection state control model to realize automatic pressure plate activation and self-recovery operation.

[0007] To further optimize this technical solution, in step S1, the measured signal includes a protection activation quantity. With protective action amount There are two types of fiber optic input signals, each of which consists of multiple input channels.

[0008] To further optimize this technical solution, in step S1, for the first... The channel's measurement signal, real-time characteristic parameters include signal validity detection values. and signal error rate Calculate the reliability coefficient of a single-channel signal. The calculation formula is as follows:

[0009] in, For the first The reliability coefficient of the channel signal is used to characterize the reliability of the signal at the current moment; For the first The signal validity detection value of the channel signal, in percentage (%) For the first Error rate of channel signal, in % This is the sensitivity coefficient to changes in signal reliability. If the validity test value Significantly higher than the error rate ,but The reliability coefficient approaches 1; if the error rate is high, the reliability coefficient decreases; a robust mapping to noisy input is achieved through a sigmoid function.

[0010] To further optimize this technical solution, in step S2, the protection signal fusion model is as follows:

[0011] in, The fused signal output, in volts (V), includes the fused value of the protection activation signal. Fusion results with protection action signals ; : No. The original signal voltage value of the channel, in V; Channel dynamic weights; : Proportional constant, used to standardize the dimensions of weights, with units of V. -1 ; Number of fiber optic channels; Signals with higher reliability coefficients have greater weight in the fusion process, thus prioritizing the acceptance of highly reliable signals; when a signal in a certain channel is abnormal, its... Rapid decline, leading to The impact on the fused output is automatically reduced by minimizing the size of the output, thus achieving soft isolation.

[0012] To further optimize this technical solution, the protection signal fusion model also introduces a time-dimensional smoothing function to prevent abrupt changes:

[0013] in, As a smoothing factor, For time step; By using the aforementioned smoothing function, the system effectively suppresses high-frequency jitter signals while maintaining its ability to respond to dynamic changes, making the fused output more continuous and predictable in the time domain.

[0014] To further optimize this technical solution, the dual-condition logic switching model in step S3 is as follows:

[0015] in, UDL real-time output value, in V; Dynamic decision threshold, in V, is determined by the signal noise level and channel fluctuations; When the protection action signal is significantly higher than the protection start signal, that is... The system prioritizes outputting action signals; when the protection activation signal is significantly dominant, it outputs the protection activation signal; if the difference between the two is within the threshold range, the system maintains the previous output unchanged to prevent output jitter.

[0016] To further optimize this technical solution, the dynamic decision threshold... The calculation model is as follows:

[0017] in, Initial static threshold, in V, is set according to the characteristics of the device, and is usually 0.02 to 0.05 V; : Represents the variance of the two fused signals within the current time window, in units of V. 2 This is used to reflect the fluctuation intensity between signals; Dynamic adjustment coefficient, unit is V -1 This is used to adjust the sensitivity of the threshold to changes in variance; The computational model corrects the threshold by introducing a variance term, and the system dynamically adjusts the decision conditions based on signal stability.

[0018] To further optimize this technical solution, in step S4, the system main control unit continuously records... The time series data is analyzed using a sliding time window method with 100 sampling periods to calculate its statistical characteristics, including the output mean. with standard deviation ; The time-domain coefficient of variation model is shown below:

[0019] in, System risk coefficient, used to characterize the level of risk in system operation; : The standard deviation, expressed in V, reflects the amplitude of signal fluctuations. : The moving average value, in V; Threshold weighting factor, in V -1 This is used to adjust the impact of threshold changes on risk assessment; This model enables the system to quantitatively evaluate the stability of the output signal during continuous operation.

[0020] To further optimize this technical solution, in step S5, the DC measurement equipment is equipped with two measurement signal inputs: a main channel and a backup channel, which are respectively the main channel fusion signal. With backup channel signal When the system risk coefficient exceeds the set threshold, the system activates the compensation control mechanism:

[0021] in, : The compensated signal output value, in V; Main channel fused signal, unit is V; Backup channel signal, unit is V; Channel compensation coefficient, reflecting the degree of intervention of the backup channel; To achieve risk-driven adaptive adjustment, the compensation coefficient With system risk coefficient The functional relationship between them is as follows:

[0022] in, : Proportional coefficient, used to control the speed at which backup channels are activated.

[0023] To further optimize this technical solution, in step S6, the self-protection state control model is as follows:

[0024] in, System protection status, with a value range of 0-1. A value greater than 0.7 indicates that the protection mode is enabled. : Protection signal threshold, in V, is a fixed set value; Protection state response coefficient, unit is V -1 .

[0025] When the compensation signal Above the threshold hour, When the value approaches 1, the system automatically enters protection mode.

[0026] 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 DC measurement device control method for a high-voltage DC control system as described in the first aspect of the present invention.

[0027] 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 DC measurement device control method for a high-voltage DC control system as described in the first aspect of the present invention.

[0028] Compared with the prior art, the present invention provides a control method for DC measurement equipment in a high-voltage DC control system, which has the following beneficial effects: The control method for DC measurement equipment in this high-voltage DC control system achieves end-to-end adaptive control from the signal layer to the logic layer. It can automatically identify signal reliability and perform smooth channel switching when errors, delays, or unstable power supply to any channel occur. Simultaneously, when the system is in a high-risk or maintenance state, it achieves automatic platen activation and system self-recovery control through a self-protection state control model. This ensures that the high-voltage DC measurement equipment maintains measurement continuity and protection logic stability even under complex operating conditions such as communication anomalies, power supply disturbances, and manual maintenance, significantly improving the system's reliability, safety, and intelligence level. Attached Figure Description

[0029] 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.

[0030] Figure 1 This is a flowchart illustrating the control method for DC measurement equipment in a high-voltage DC control system proposed in this invention. Detailed Implementation

[0031] 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.

[0032] 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.

[0033] 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.

[0034] Example 1: Reference Figure 1 This is the first embodiment of the present invention, which provides a control method for a DC measurement device in a high-voltage DC control system, comprising the following steps: S1. The main control unit of the high-voltage DC control system receives measurement signals from different fiber optic channels and calculates the reliability coefficient of the measurement signals.

[0035] Existing systems mostly rely on single-channel measurements, which can lead to system lockout in the event of a communication failure. By evaluating the reliability of measurement signals from different fiber optic channels, self-verification and dynamic weighting at the signal level can be achieved, improving the system's operational reliability under conditions such as fiber optic failures, signal interference, and power supply fluctuations.

[0036] Measurement signals include protection activation quantities With protective action amount There are two types of fiber optic input signals, each of which consists of multiple input channels.

[0037] For the The channel's measurement signal, real-time characteristic parameters include signal validity detection values. and signal error rate Calculate the reliability coefficient of a single-channel signal. The calculation formula is as follows:

[0038] in, For the first The reliability coefficient of the channel signal is used to characterize the reliability of the signal at the current moment; when A value greater than 0.9 indicates that the channel signal is highly reliable; when A value less than 0.7 indicates a significant decrease in signal quality, and the system will subsequently reduce its weighting.

[0039] For the first The signal validity detection value of the channel signal, expressed as a percentage (%), is obtained by comparing the consistency between the fiber optic input data frames and the system reference frames in real time using the communication detection module inside the measurement equipment, and calculating the percentage of valid data frames. The system samples every 10ms and updates the validity result accordingly.

[0040] For the first The error rate of the channel signal, expressed as % is calculated by the main control unit's communication detection module, which counts the number of cyclic redundancy check (CRC) error frames within a certain time window (usually 1 second) to the total number of frames. Under normal circumstances... It should be less than 1%, when A value greater than 5% indicates that the fiber optic channel may have issues such as loose connections, laser attenuation, or aging of the power supply board.

[0041] This is the sensitivity coefficient for changes in signal reliability; it is a factory-set parameter determined based on equipment operating experience and communication stability requirements, and can be set as a fixed value or an adjustable parameter in the control software. The value ranges from 0.05 to 0.2. A higher value indicates greater sensitivity to changes in validity and error rate; excessively high values ​​may cause over-response, while excessively low values ​​reduce the sensitivity to anomaly detection.

[0042] Through the above functional relationship, a nonlinear mapping of signal quality for different channels can be achieved: if the validity detection value Significantly higher than the error rate ,but The reliability coefficient approaches 1; if the error rate is high, the reliability coefficient decreases; by adopting the form of an S-shaped function, the output can be kept to change smoothly when there are small fluctuations in the fiber optic input signal, thereby improving the system's robustness to noise disturbances.

[0043] During system operation, the main control unit periodically updates the confidence values ​​of each channel, with an update cycle set to 10ms. This allows the system to automatically adjust the confidence level of different channels based on signal characteristics, thereby maintaining the overall stability of the measurement signal even in the event of communication anomalies or equipment aging. This model can be implemented in software or in hardware logic units (such as FPGAs) through real-time calculations via table lookup operations.

[0044] S2. After obtaining the credibility coefficient, establish a protection signal fusion model and output the fused signal output.

[0045] The protection initiation and action signals from different fiber optic channels are weighted and fused to obtain a global protection initiation signal fusion value. Fusion results with protection action signals This provides a stable input for subsequent logic switching and state determination.

[0046] Considering that different channels may be affected by fiber attenuation, bit errors, or delays during operation, the protection signal fusion model is as follows:

[0047] in, The fused signal output, in volts (V), includes the fused value of the protection activation signal. Fusion results with protection action signals .

[0048] : No. The original signal voltage value of the channel is in V. The DC measurement signal of each channel is collected by the photoelectric transformer, transmitted to the main control unit through optical fiber, and then converted by the data acquisition module. Each channel corresponds to an independent input branch. The signal is filtered and then enters the fusion operation.

[0049] : Channel dynamic weights; updated once per sampling period by the main control logic, used for signal fusion calculations. Generally varies between 0.6 and 1.0; when signal quality deteriorates... When it is below 0.8, Automatic reduction enables dynamic weakening of abnormal channels.

[0050] : Proportional constant, used to standardize the dimensions of weights, with units of V. -1 These are preset parameters for the system, obtained through system calibration experiments, and fixedly set in the parameter table of the main control software. The value range is 0.8 to 1.2; too small a value will reduce signal difference, while too large a value may cause the fused output to shift.

[0051] Number of fiber optic channels.

[0052] Signals with higher reliability coefficients have greater weight in the fusion process, thus prioritizing the acceptance of highly reliable signals; when a signal in a certain channel is abnormal, its... Rapid decline, leading to This reduces the influence of that channel in the overall signal fusion process, automatically weakening its impact. Conversely, channels with good communication quality maintain a higher weight, ensuring that the fusion output is always dominated by high-confidence signals.

[0053] The protection signal fusion model also introduces a time-dimensional smoothing function to prevent abrupt changes, that is, updating the weights through an exponential moving average to avoid jitter in the fused signal caused by sudden changes:

[0054] in, This is the smoothing factor, the adjustment coefficient of the signal smoothing update module, used to control the rate of weight change. It is set by the system software parameter configuration module and can be dynamically adjusted according to the operating environment. Its value ranges from 0.7 to 0.9. Higher values ​​enhance stability and reduce jitter; lower values ​​improve response speed and are suitable for high-frequency disturbance environments.

[0055] The time step is determined by the main control sampling clock period and is usually synchronized with the system signal refresh frequency (e.g., 10-20ms).

[0056] By using the aforementioned smoothing function, the system effectively suppresses high-frequency jitter signals while maintaining its ability to respond to dynamic changes, making the fused output more continuous and predictable in the time domain.

[0057] Compared with the traditional single-channel signal selection method, this embodiment introduces an adaptive weighting mechanism to achieve "soft isolation" between signal channels, which can automatically reduce the weight of abnormal channels without human judgment; and uses a smooth update strategy to ensure that the system maintains a smooth transition of fused output when facing external interference or optical power fluctuations, avoiding the problem of signal abrupt changes in the traditional logical judgment model.

[0058] S3. Establish a dual-condition logic switching model to achieve adaptive control of UDL output based on the current signal state.

[0059] Traditional UDL switching logic relies on fixed threshold judgments (such as whether a signal is valid or not), lacking sensitivity and self-learning capabilities. In this embodiment, by introducing... This enables the system to automatically adjust the switching sensitivity based on the current signal fluctuation level, avoiding the misjudgment and frequent switching problems existing in the traditional fixed threshold model; the dual-condition logic switching model is shown below:

[0060] in, UDL real-time output value, in V; Dynamic decision threshold, in V, is determined by the signal noise level and channel fluctuations; When the protection action signal is significantly higher than the protection start signal, that is... The system prioritizes outputting action signals; when the protection activation signal is significantly dominant, it outputs the protection activation signal; if the difference between the two is within the threshold range, the system maintains the previous output unchanged to prevent output jitter.

[0061] The dynamic decision threshold The calculation model is as follows:

[0062] in, Initial static threshold, in V, is set according to the characteristics of the device, usually 0.02 to 0.05V; it is used to define the minimum judgment deviation of the system. When the signal difference is less than this value, the system keeps the output unchanged.

[0063] : Represents the variance of the two fused signals within the current time window (typically 100 sampling periods), in units of V. 2 It is used to reflect the fluctuation intensity between signals.

[0064] Dynamic adjustment coefficient, unit is V -1 This is used to adjust the sensitivity of the threshold to changes in variance; it is determined through system response tests during the field commissioning phase. The value ranges from 0.1 to 0.3. Larger values... It can improve the system's sensitivity to fluctuations; smaller values ​​are used to suppress transient jitter.

[0065] The computational model incorporates a variance term to correct the threshold, and the system dynamically adjusts the decision conditions based on signal stability. When signal fluctuations are small and system operation is stable, the variance term is small. Decreasing the variance term improves the system's decision sensitivity; however, when communication or measurement interference causes increased signal fluctuations, the variance term increases. This increases the frequency of switching, thus suppressing frequent switching. This significantly improves the system's anti-interference capability in noisy environments.

[0066] When performing logical judgments, the main control unit first reads the previous cycle's data through the historical data cache module. Then, based on the currently calculated threshold With input signal The comparison operation is performed. This process can be implemented in real time using an embedded processor or a programmable logic device (FPGA), ensuring that the delay does not exceed one sampling period.

[0067] Through this step, the UDL output signal can adaptively adjust the switching logic according to the signal state in complex operating environments, ensuring that the system can maintain stable output and correct logic judgment even when communication is abnormal, data is lost, or the board is under maintenance.

[0068] S4. Based on the real-time output value of UDL, construct a time-domain coefficient of variation model, output the system risk coefficient, and provide early warning for minor anomalies. This is used to identify potential failure trends caused by fiber optic communication anomalies, board aging, or unstable power supply.

[0069] The system's main control unit continuously records The time series data is analyzed using a sliding time window method with 100 sampling periods to calculate its statistical characteristics, including the output mean. with standard deviation ; The time-domain coefficient of variation model is shown below:

[0070] in, System risk coefficient, used to characterize the level of risk in system operation; : The standard deviation, expressed in V, reflects the amplitude of signal fluctuations. : The moving average, expressed in V, is used to characterize the central trend of the signal; Threshold weighting factor, in V -1 This parameter is used to adjust the impact of threshold changes on risk assessment; it is used to configure parameters on-site, with a value range of 0.2 to 0.5. The larger the value, the more sensitive the risk coefficient is to threshold fluctuations; if the value is too small, it may cause the system to respond to sudden fluctuations with lag.

[0071] This model enables the system to quantitatively evaluate the stability of the output signal during continuous operation.

[0072] When the system operates smoothly, signal fluctuations are small, and dynamic thresholds remain within the normal range... A value close to or below 0.8 indicates a stable system; however, when the fiber optic signal is interfered with, the power supply circuit fluctuates, or there is a communication delay in the merging unit, the signal may be affected. Increase, systemic risk coefficient Increase; when When the value is greater than 1.0, the system automatically triggers the "early warning" mode; when... When the value is greater than 1.5, the system is determined to be in a "medium-risk state" and enters the protection redundancy logic preparation stage; when When the value is greater than 1.8, the system determines it to be in a "severe risk state" and enters the emergency protection and signal switching control process.

[0073] Compared with existing technologies, this model logically transforms the approach from "discrete fault determination" to "continuous risk quantification." Traditional systems typically use a single threshold judgment (such as judging signal loss or excessive bit error rate) to determine whether to trigger protection. In contrast, this model uses statistical methods to track output fluctuation trends in real time, mapping the system state to a continuous risk range, thereby achieving higher resolution operation monitoring and risk prediction.

[0074] S5. Utilize the system risk coefficient to perform redundancy switching and data compensation when the main channel is abnormal.

[0075] DC measurement equipment typically has two measurement signal inputs: a main channel and a backup channel. These are the main channel fused signals. With backup channel signal When the system risk coefficient exceeds the set threshold, the system activates the compensation control mechanism:

[0076] in, : The compensated signal output value, in V.

[0077] : Main channel fused signal, unit is V; obtained by fusion in step S2.

[0078] Backup channel signal, in volts; DC measurement signals are synchronously acquired through a backup fiber optic communication channel and input to the main control system after being driven by an independent power supply board.

[0079] Channel compensation coefficient reflects the degree of intervention of the backup channel.

[0080] To achieve risk-driven adaptive adjustment, the compensation coefficient With system risk coefficient The functional relationship between them is as follows:

[0081] in, : Proportional coefficient, used to control the intervention speed of the backup channel. It is determined through on-site commissioning and ranges from 0.6 to 0.9. Higher values ​​allow the backup channel to intervene earlier; lower values ​​delay the switching and are suitable for noisy operating environments.

[0082] When the system is in normal operating condition (i.e.) When <1.0), the compensation coefficient A lower value indicates that the system is completely dependent on the main channel signal; when the risk coefficient increases to the medium risk range (1.0≤...), the risk level decreases. When <1.5), As the risk increases, backup channel signals gradually intervene to achieve partial signal compensation; when the system is in a high-risk state ( When ≥1.5, With a value close to 1, the system output almost entirely relies on the backup channel, enabling rapid and seamless switching.

[0083] S6. Using the compensated signal output value as input, construct a self-protection state control model to realize automatic pressure plate activation and self-recovery operation.

[0084] The self-protection state regulation model is shown below:

[0085] in, : System protection status, with a value range of 0-1. When <0.3, the system is in normal operation; 0.3 to 0.7 indicates entering the transition state; when >0.7, the system enters the self-protection mode.

[0086] : Protection signal threshold, in V, is a fixed setting value; determined according to the rated DC measurement level, usually 1.1 to 1.3 times the average rated signal value of the system, used to define the protection state trigger condition. When the compensation signal exceeds this threshold, the system starts the self-protection mode.

[0087] Protection state response coefficient, unit is V -1 The value is obtained through optimization based on response time and transition smoothness during the system debugging phase. It ranges from 0.3 to 0.8. A larger value results in a more agile response to signal over-limit conditions; a smaller value increases the smoothness of the protection state transition, making it suitable for noise-sensitive applications.

[0088] When the compensation signal Above the threshold hour, When the value approaches 1, the system automatically enters protection mode. The following policies are implemented: Activate the backup power supply board to maintain stable fiber optic power supply; Temporarily block data input from abnormal channels; Sending a "protection pressure plate activation confirmation signal" to the main controller is equivalent to manually inspecting the pressure plate. Real-time recording The change curve provides data support for post-event diagnosis.

[0089] Meanwhile, to prevent the system from remaining in a protected state for an extended period after the anomaly is resolved, a self-recovery condition is designed: when the system remains in a protected state for a continuous period of time... <0.8 and When this happens, the system automatically exits the protection state and returns to normal logic.

[0090] Example 2: The DC measurement equipment control method of the high-voltage DC control system described in Example 1 is applied in the control system of a ±800 kV UHVDC converter station: In this converter station, the main control system needs to simultaneously receive signal inputs from three sets of photoelectric DC transformers. Each set of signals is connected to the merging unit (MU) in the control room via an independent fiber optic link. Channels 1 and 2 are the primary measurement paths, while channel 3 is a backup path used for signal compensation in case of communication failures or maintenance. Traditional control systems rely solely on data from channel 1. If the signal error rate increases due to connector aging in this fiber, the main control system will trigger a lockout protection, forcing the system into a single-system operation mode. However, by adopting the method of this invention, the system operating logic changes.

[0091] First, the main control unit monitors the effectiveness and error rate of each channel in real time according to step S1, and obtains the reliability coefficient. For example, when the bit error rate of channel 1 increases to 3% due to the influence of a humid environment, the system automatically calculates that the reliability coefficient has decreased significantly; at the same time, channels 2 and 3 maintain a high reliability level.

[0092] Next, based on the protection signal fusion model in step S2, the main control unit automatically reduces the channel dynamic weight of channel 1. Increase the weights of channels 2 and 3 to improve the fused output signal. This is mainly contributed by the high-reliability channel. At this time, the control signal does not change abruptly, and the system continues to maintain normal output.

[0093] Subsequently, in the dual-condition logic switching model of step S3, the system determines the switching based on the signal difference and the dynamic decision threshold. The comparison relationship is used to stably determine the real-time output value of UDL. Even if the signal in channel 1 continues to fluctuate, the output will not experience high-frequency jitter due to the dynamic self-adjustment characteristic of the threshold mechanism.

[0094] During long-term operation, the main control module calculates the system risk coefficient through step S4. If an increase in the standard deviation of signal fluctuation is detected, and the risk factor exceeds 1.2, the system immediately enters the compensation mode in step S5. At this time, backup channel 3 gradually participates in signal compensation, and the compensation factor... The signal smoothly rises from 0 to 0.7, forming a fused output of primary and backup signals. This enables "soft switching," ensuring continuous power supply and stable measurement for the system.

[0095] When a further increase in risk is detected (e.g.) )and Exceeding the threshold At this time, the system automatically enters the self-protection state control mode in step S6. Rapidly rising to 1 triggers the following action: 1. Activate the backup laser power supply board to maintain a stable power supply to the photoelectric transformer; 2. Automatically mask channel 1 input to prevent bit errors from interfering with system logic; 3. Trigger the "protection pressure plate activation" signal to complete the protection status switch without manual operation.

[0096] After the ambient humidity decreases and the fiber optic bit error rate returns to normal, the risk factor... Gradually decreasing, the system detected within 100 consecutive sampling periods. <0.8 and Then it will automatically exit protection mode. The system smoothly returns from 1 to 0, resuming normal operation. The entire process requires no manual intervention; the system automatically implements closed-loop control for detection, protection, redundancy, and recovery.

[0097] By applying this method, the converter station experienced no protection malfunctions or system lockouts during communication interference, environmental humidity fluctuations, and regular maintenance. Continuous operation verified that the system's average fault response time was reduced by approximately 45%, the signal loss rate was lowered to below 0.05%, and the system online rate reached 99.98%.

[0098] Therefore, it can be seen that the proposed method can significantly improve the anti-interference capability, operational continuity and self-healing performance of the control system in the complex operating environment of UHVDC measurement equipment. It is applicable to the core control scenarios of various flexible DC transmission projects, offshore wind power grid-connected converter stations and large-capacity DC interconnection systems.

[0099] Example 3: This embodiment also provides a computer device applicable to a DC measurement device control method for a high-voltage DC control system, 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 DC measurement device control method for a high-voltage DC control system as proposed in the above embodiment.

[0100] This embodiment also provides a storage medium storing a computer program, which, when executed by a processor, implements a DC measurement device control method for a high-voltage DC control system as proposed in the above embodiments.

[0101] 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.

[0102] 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.

[0103] 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.

[0104] 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.

[0105] 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.

[0106] 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 control method for DC measurement equipment in a high-voltage DC control system, characterized in that, Includes the following steps: S1. The main control unit of the high voltage DC control system receives measurement signals from different fiber optic channels and calculates the reliability coefficient of the measurement signals. S2. After obtaining the credibility coefficient, establish a protection signal fusion model and output the fused signal output. S3. Establish a dual-condition logic switching model to achieve adaptive control of UDL output based on the current signal state; S4. Based on the real-time output value of UDL, construct a time-domain coefficient of variation model, output the system risk coefficient, and provide early warning for minor anomalies; S5. Utilize the system risk coefficient to perform redundancy switching and data compensation when the main channel is abnormal. S6. Using the compensated signal output value as input, construct a self-protection state control model to realize automatic pressure plate activation and self-recovery operation.

2. The control method for DC measurement equipment in a high-voltage DC control system according to claim 1, characterized in that, In step S1, the measured signal includes the protection activation quantity. With protective action amount There are two types of fiber optic input signals, each of which consists of multiple input channels.

3. The control method for DC measurement equipment in a high-voltage DC control system according to claim 1, characterized in that, In step S1, for the first The channel's measurement signal, real-time characteristic parameters include signal validity detection values. and signal error rate Calculate the reliability coefficient of a single-channel signal. The calculation formula is as follows: ； in, For the first The reliability coefficient of the channel signal is used to characterize the reliability of the signal at the current moment; For the first The signal validity detection value of the channel signal, in percentage (%) For the first Error rate of channel signal, in % This is the sensitivity coefficient to changes in signal reliability. If the validity test value Significantly higher than the error rate ,but The reliability coefficient approaches 1; if the error rate is high, the reliability coefficient decreases; a robust mapping to noisy input is achieved through a sigmoid function.

4. The control method for DC measurement equipment in a high-voltage DC control system according to claim 1, characterized in that, In step S2, the protection signal fusion model is as follows: ； in, The fused signal output, in volts (V), includes the fused value of the protection activation signal. Fusion results with protection action signals ; : No. The original signal voltage value of the channel, in V; Channel dynamic weights; : Proportional constant, used to standardize the dimensions of weights, with units of V. -1 ; Number of fiber optic channels; Signals with higher reliability coefficients have greater weight in the fusion process, thus prioritizing the acceptance of highly reliable signals; when a signal in a certain channel is abnormal, its... Rapid decline, leading to The impact on the fused output is automatically reduced by minimizing the size of the output, thus achieving soft isolation.

5. The control method for DC measurement equipment in a high-voltage DC control system according to claim 4, characterized in that, The protection signal fusion model also introduces a time-dimension smoothing function to prevent abrupt changes: ； in, As a smoothing factor, For time step; By using the aforementioned smoothing function, the system effectively suppresses high-frequency jitter signals while maintaining its ability to respond to dynamic changes, making the fused output more continuous and predictable in the time domain.

6. The control method for DC measurement equipment in a high-voltage DC control system according to claim 1, characterized in that, In step S3, the dual-condition logic switching model is as follows: ； in, UDL real-time output value, in V; Dynamic decision threshold, in V, is determined by the signal noise level and channel fluctuations; When the protection action signal is significantly higher than the protection start signal, that is... The system prioritizes outputting action signals; when the protection activation signal is significantly dominant, it outputs the protection activation signal; if the difference between the two is within the threshold range, the system maintains the previous output unchanged to prevent output jitter.

7. The control method for DC measurement equipment in a high-voltage DC control system according to claim 6, characterized in that, The dynamic decision threshold The calculation model is as follows: ； in, Initial static threshold, in V, is set according to the characteristics of the device, and is usually 0.02 to 0.05 V; : Represents the variance of the two fused signals within the current time window, in units of V. 2 This is used to reflect the fluctuation intensity between signals; Dynamic adjustment coefficient, unit is V -1 This is used to adjust the sensitivity of the threshold to changes in variance; The computational model corrects the threshold by introducing a variance term, and the system dynamically adjusts the decision conditions based on signal stability.

8. The control method for DC measurement equipment in a high-voltage DC control system according to claim 1, characterized in that, In step S4, the system main control unit continuously records... The time series data were analyzed using a sliding time window method with 100 sampling periods to calculate their statistical characteristics. Including output mean with standard deviation ; The time-domain coefficient of variation model is shown below: ； in, System risk coefficient, used to characterize the level of risk in system operation; : The standard deviation, expressed in V, reflects the amplitude of signal fluctuations. : The moving average value, in V; Threshold weighting factor, in V -1 This is used to adjust the impact of threshold changes on risk assessment; This model enables the system to quantitatively evaluate the stability of the output signal during continuous operation.

9. The control method for DC measurement equipment in a high-voltage DC control system according to claim 1, characterized in that, In step S5, the DC measurement equipment is equipped with two measurement signal inputs: a main channel and a backup channel, which are the main channel fusion signal and the backup channel signal, respectively. With backup channel signal When the system risk coefficient exceeds the set threshold, the system activates the compensation control mechanism: ； in, : The compensated signal output value, in V; Main channel fused signal, unit is V; Backup channel signal, unit is V; Channel compensation coefficient, reflecting the degree of intervention of the backup channel; To achieve risk-driven adaptive adjustment, the compensation coefficient With system risk coefficient The functional relationship between them is as follows: ； in, : Proportional coefficient, used to control the speed at which backup channels are activated.

10. The control method for DC measurement equipment in a high-voltage DC control system according to claim 1, characterized in that, In step S6, the self-protection state control model is as follows: ； in, System protection status, with a value range of 0-1. A value greater than 0.7 indicates that the protection mode is enabled. : Protection signal threshold, in V, is a fixed set value; Protection state response coefficient, unit is V -1 ; When the compensation signal Above the threshold hour, When the value approaches 1, the system automatically enters protection mode.

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