An optimized electrical control method and related equipment for gas-insulated switchgear.

Abstract

This application provides an electrical control optimization method and related equipment for gas-insulated switchgear, relating to the field of automatic control technology. The method includes first acquiring real-time data on the internal insulating gas pressure, external temperature and humidity, and switch contact operating parameters. Combining the ambient temperature and humidity with the operating parameters, and overlaying the base rated pressure, temperature and humidity compensation, and operating condition correction, a dynamic target stable pressure value is calculated. Simultaneously, the theoretical pressure is calculated based on the ambient temperature, and a leakage judgment difference is obtained by comparing the real-time gas pressure with the theoretical pressure. When this difference exceeds a set threshold, a gas leakage risk is determined, and an adaptive pressure replenishment command is issued to continuously replenish insulating gas into the cabinet until the internal gas pressure reaches the dynamic target stable pressure value. This method achieves adaptive optimal maintenance of the internal insulating gas pressure.

Description

Technical Field

[0001] This application relates to the field of automatic control technology, and in particular to an electrical control optimization method and related equipment for a gas-insulated switchgear. Background Technology

[0002] Gas-insulated switchgear is widely used in power systems. It is usually filled with gases such as nitrogen or SF6 as the insulating medium. Maintaining a stable insulating gas pressure inside the cabinet is crucial to ensuring the insulation performance and operational safety of the switchgear.

[0003] Existing control technologies typically use fixed pressure thresholds for gas pressure monitoring. Specifically, gas pressure is monitored by a pressure gauge inside the gas-insulated switchgear, and a simple gas replenishment operation is performed when the pressure is lower than the set value, thereby maintaining the normal operation of the gas-insulated switchgear.

[0004] However, the gas pressure inside the cabinet fluctuates naturally with environmental factors such as temperature changes. Humidity variations also affect the actual insulation margin requirements of the gas. Furthermore, the insulation gas pressure requirements of the switch contacts under different operating conditions are higher than in the static standby state. A fixed pressure threshold is insufficient to reflect the actual pressure changes under the combined effects of these multiple factors. When a sudden drop in ambient temperature causes the gas pressure to naturally decrease, the system may misinterpret this normal physical contraction as a leak and trigger unnecessary gas replenishment. Conversely, when a temperature rise masks a genuine, minor leak, it may be missed because the pressure remains above the fixed threshold. Therefore, when environmental conditions fluctuate, misjudgments or missed leaks are prone to occur, making it difficult to adaptively replenish pressure or provide early warnings in the early stages of a genuine leak, thus failing to maintain the insulation gas pressure inside the cabinet at the optimal level for the current operating conditions. Summary of the Invention

[0005] This application provides an electrical control optimization method and related equipment for gas-insulated switchgear, which is used to realize adaptive dynamic voltage regulation and adjustment of gas pressure in gas-insulated switchgear under operating conditions.

[0006] In a first aspect, this application provides an electrical control optimization method for a gas-insulated switchgear. The method includes: real-time acquisition of the real-time insulating gas pressure inside the gas-insulated switchgear, the external ambient temperature, ambient humidity, and the operating parameters of the internal switch contacts; calculation of the current dynamic target stable voltage value based on the ambient temperature, ambient humidity, and operating parameters, wherein the dynamic target stable voltage value is obtained by adding a preset base rated pressure, the temperature and humidity compensation amount corresponding to the ambient temperature and humidity, and the operating condition correction amount corresponding to the operating parameters; calculation of the theoretically predicted pressure at the current temperature based on the ambient temperature; determination of a leakage judgment difference based on the real-time insulating gas pressure and the theoretically predicted pressure; and determination of a gas leakage risk if the leakage judgment difference exceeds a preset leakage threshold, generating and triggering an adaptive pressure replenishment command to replenish insulating gas into the gas-insulated switchgear until the real-time insulating gas pressure inside the switchgear reaches the dynamic target stable voltage value.

[0007] By adopting the above technical solution, the system integrates ambient temperature, ambient humidity, and switch contact operating parameters to calculate a dynamic target stable pressure value, allowing the pressure replenishment target to fluctuate in real time according to actual operating conditions rather than being fixed to a static threshold. Simultaneously, it uses ambient temperature estimation theory to predict pressure as a physical benchmark for gas under leak-free conditions, and then calculates the difference between this and the real-time insulating gas pressure to obtain a leakage detection difference value, thereby separating normal pressure fluctuations caused by temperature from leakage signals. Pressure replenishment is triggered only when this difference exceeds a preset leakage threshold, and the pressure replenishment endpoint is anchored to the dynamic target stable pressure value reflecting the current temperature, humidity, and operating conditions, rather than a fixed value. Therefore, the system will not misjudge physical contraction as leakage and over-replenish gas when the temperature drops sharply, nor will it miss real micro-leakages due to artificially high apparent pressure when the temperature rises, achieving accurate leakage identification and optimal adaptive maintenance of the insulating gas pressure within the cabinet.

[0008] In conjunction with some embodiments of the first aspect, in some embodiments, the step of replenishing insulating gas into the gas-insulated switchgear specifically includes: dividing the gas replenishment process into several discrete trial replenishment cycles based on the initial pressure difference between the dynamic target stabilization value and the current real-time insulating gas pressure; in each trial replenishment cycle, opening the pressure replenishment valve to perform quantitative pulse pressure replenishment, and closing the pressure replenishment valve after a set duration to enter the gas pressure diffusion and settling stage; in the gas pressure diffusion and settling stage, extracting the actual settling pressure after the gas pressure in the gas-insulated switchgear has diffused evenly; using the actual settling pressure as the real-time insulating gas pressure of the current cycle, and comparing it with the dynamic target stabilization value to determine whether to trigger the next trial replenishment cycle.

[0009] By adopting the above technical solution, the gas replenishment process is divided into several discrete trial gas replenishment cycles. Each cycle involves only a quantitative pulse pressurization, followed by valve closure and a pressure diffusion and settling phase. Once the gas inside the cabinet is fully balanced, the actual settling pressure is extracted and compared with the dynamic target stable pressure value for feedback. The quantitative pulse limits the single injection volume, avoiding localized overpressure impact on the insulation structure caused by a large-flow injection. The settling phase, waiting for uniform pressure diffusion before sampling, eliminates interference from instantaneous high pressure near the valve port on sensor readings, making the feedback pressure closer to the actual uniform distribution within the cabinet. Cycle-by-cycle closed-loop comparison ensures that the pressurization amount at each step is based on measured results. Once the settling pressure reaches the target, subsequent cycles are stopped to prevent cumulative overcharging. Therefore, the entire pressurization process combines precise convergence with a safety margin, effectively avoiding the risks of overpressure or underpressure.

[0010] In conjunction with some embodiments of the first aspect, in some embodiments, the step of extracting the actual static pressure after the gas pressure equalization diffusion in the gas-insulated switchgear during the gas pressure diffusion static stage specifically includes: continuously acquiring the diffusion pressure sequence of insulating gas under static conditions at a preset acquisition frequency; simultaneously acquiring the surface temperature drop gradient sequence from the injection end of the pressure replenishment valve to the insulating cavity where the internal switch contact is located; determining whether the maximum drop rate in the surface temperature drop gradient sequence exceeds a preset quenching cooling rate threshold; if the maximum drop rate exceeds the quenching cooling rate threshold, suspending the trigger command for the next trial gas replenishment cycle and activating the moisture-proof heating module in the gas-insulated switchgear to compensate for the temperature rise of the insulating gas in the internal switch contact; when the real-time temperature of the insulating cavity where the internal switch contact is located rises back to the preset anti-condensation safety red line, stopping the temperature rise compensation and resuming the comparison between the actual static pressure and the dynamic target stable pressure value.

[0011] By employing the above technical solution, the surface temperature drop gradient sequence from the injection end of the pressure-replenishing valve to the insulation cavity of the switch contact is synchronously collected during the static phase. This allows the system to capture the rapid cooling phenomenon on the insulation surface caused by the injection of low-temperature, high-pressure gas. When the maximum rate of temperature drop exceeds the threshold for rapid cooling, it indicates that the insulation surface temperature is rapidly approaching the dew point, posing a risk of condensation and short circuit. At this point, the system immediately suspends the trigger command for the next trial gas replenishment cycle to prevent further injection of cold gas and activates the moisture-proof heating module to compensate for the temperature rise of the gas in the insulation cavity. The normal comparison process only resumes after the real-time temperature rises back to the anti-condensation safety threshold. This mechanism incorporates the condensation hazard caused by the heat absorption of gas expansion during the gas replenishment process into real-time management, ensuring that the pressure replenishment operation does not introduce new insulation failure threats while eliminating leakage risks.

[0012] In conjunction with some embodiments of the first aspect, in some embodiments, the step of activating the moisture-proof heating module inside the gas-insulated switch cabinet to compensate for the temperature rise of the insulating gas of the internal switch contacts specifically includes: reading the temperature difference gap between the real-time temperature and the anti-condensation safety red line; calculating the target heat input value required to raise the insulating gas from the real-time temperature to the anti-condensation safety red line based on the temperature difference gap and the known gas volume of the insulation cavity; determining the heating execution duration based on the rated heating power of the moisture-proof heating module and the target heat input value; driving the moisture-proof heating module in a pulse width modulation mode, wherein the duty cycle of a single heating pulse in the pulse width modulation mode is set to the ratio between the rated heating power and the power upper limit corresponding to the preset maximum allowable temperature rise rate; and, within the heating execution duration, when the real-time temperature reaches the anti-condensation safety red line, turning off the drive signal of the moisture-proof heating module and ending the temperature rise compensation.

[0013] By adopting the above technical solution, the target heat input value is first calculated based on the temperature difference gap between the real-time temperature and the anti-condensation safety threshold, as well as the known gas volume, thereby quantifying the total heating energy required instead of relying on empirical estimation. Then, the heating execution duration is determined in conjunction with the rated heating power, giving the heating process a clear time boundary. In the pulse width modulation method, the duty cycle of a single pulse is limited to the ratio of the rated power to the upper limit of the power corresponding to the maximum allowable temperature rise rate, ensuring that the instantaneous power does not exceed the temperature rise limit that the insulation material can withstand, preventing local overheating damage to the insulation components. When the real-time temperature reaches the anti-condensation safety threshold, the drive signal is shut off to avoid overheating. Therefore, the heating process ensures that the heating rate meets the anti-condensation aging requirements while confining the temperature rise gradient within the safe range of the insulation structure.

[0014] In some embodiments of the first aspect, before the step of stopping the heating compensation and restoring the comparison between the true static pressure and the dynamic target stable pressure value, the method further includes: extracting the highest static temperature at the moment the heating compensation stops, and the initial static temperature before the heating compensation starts; using the pressure sensor reading corresponding to the initial static temperature as the reference pressure, and calculating the spurious pressure increment caused by the heating compensation according to the ratio of the highest static temperature to the initial static temperature; subtracting the spurious pressure increment from the corresponding values ​​of the insulating gas diffusion pressure sequence of a consecutive preset number to obtain a corrected pressure sequence after eliminating the heating effect; when the pressure values ​​in the consecutive preset number of the corrected pressure sequences all fall within the allowable deviation range of the dynamic target stable pressure value, the last value of the corrected pressure sequence is taken as the true static pressure.

[0015] By adopting the above technical solution, the pressure value used for subsequent comparisons only reflects the actual amount of gas injected and does not include the superposition component of thermal effects. Furthermore, it is required that multiple consecutive correction values ​​fall within the allowable deviation range of the dynamic target stable pressure value before the final value is confirmed as the true static pressure. This eliminates the interference of single-point occasional disturbances. This step ensures that the comparison benchmark restored after the heating stage is accurate and reliable, and avoids the system prematurely terminating the gas injection due to the artificially high pressure caused by thermal expansion, resulting in actual underpressure.

[0016] In conjunction with some embodiments of the first aspect, in some embodiments, before determining the risk of gas leakage if the leakage determination difference exceeds a preset leakage threshold, the method further includes: taking the current sampling time of the leakage determination difference as the endpoint, extracting leakage determination difference sequences within a preset short time window and a preset long time window respectively, to obtain a short window difference sequence and a long window difference sequence; performing linear fitting on the short window difference sequence to extract the short window pressure change rate; performing linear fitting on the long window difference sequence to extract the long window pressure change rate; determining whether the short window pressure change rate and the long window pressure change rate are both negative; if both are negative, determining whether the absolute value of the long window pressure change rate exceeds a preset chronic leakage rate threshold; when the absolute value exceeds the chronic leakage rate threshold, confirming that the leakage determination difference is valid.

[0017] By employing the above technical solution, before triggering leak risk assessment, the leak assessment difference sequences within short and long time windows are extracted and linearly fitted to extract the pressure change rates at two different time scales. Both the short and long window rates are required to be negative to ensure that the pressure decrease trend is consistent in both short and long-term dimensions, eliminating spurious signals at a single time scale caused by transient temperature disturbances or sensor noise. Furthermore, the absolute value of the long window rate must exceed a chronic leak rate threshold to distinguish extremely slow natural decay from actual leaks; only a continuous and significantly decreasing trend is confirmed as a valid leak signal. This mechanism adds a dual filter of temporal consistency and rate threshold to leak assessment, significantly reducing the false alarm rate.

[0018] In conjunction with some embodiments of the first aspect, in some embodiments, after the step of determining whether the absolute value of the rate of change of the long window pressure exceeds a preset chronic leakage rate threshold, the method further includes: when the direction of the rate of change of the short window pressure is inconsistent with that of the rate of change of the long window pressure, or when the absolute value of the rate does not exceed the chronic leakage rate threshold, marking the current leakage determination difference as a transient shift caused by environmental disturbance, and not triggering a gas leakage risk determination.

[0019] By adopting the above technical solution, when the pressure change rates of the short window and the long window are not in the same direction, it indicates that the short-term fluctuations contradict the long-term trend, and the pressure deviation is not caused by continuous leakage. When the absolute value of the rate does not exceed the chronic leakage rate threshold, it indicates that the pressure change amplitude is within the allowable range of natural decay. In both of these cases, the current leakage judgment difference is marked as a transient deviation caused by environmental disturbances without triggering a leakage risk judgment, logically clarifying the handling path for non-leakage scenarios. This marking mechanism forms a complementary closed loop with the aforementioned dual-window verification, enabling the system to have proactive immunity to non-leakage disturbances such as sudden changes in environmental temperature and humidity and short-term sensor drift, avoiding false alarms or unnecessary pressure replenishment operations during normal physical fluctuations.

[0020] In a second aspect, this application provides a server comprising: one or more processors and a memory; the memory being coupled to the one or more processors, the memory being used to store computer program code including computer instructions, the one or more processors invoking the computer instructions to cause the server to perform the methods described in the first aspect and any possible implementation thereof.

[0021] Thirdly, this application provides a computer-readable storage medium including instructions that, when executed on a server, cause the server to perform the method described in the first aspect and any possible implementation thereof.

[0022] Fourthly, this application provides a computer program product, including a computer program that, when run on a server, causes the server to perform the method described in the first aspect and any possible implementation thereof. Attached Figure Description

[0023] Figure 1 This is a schematic diagram of a scenario for the electrical control optimization method of the gas-insulated switchgear in the embodiments of this application;

[0024] Figure 2 This is a flowchart illustrating the electrical control optimization method for a gas-insulated switchgear in an embodiment of this application.

[0025] Figure 3 This is another schematic flowchart of the electrical control optimization method for gas-insulated switchgear in the embodiments of this application;

[0026] Figure 4 This is a schematic diagram of the physical device structure of a server in an embodiment of this application. Detailed Implementation

[0027] The terminology used in the following embodiments of this application is for the purpose of describing particular embodiments only and is not intended to be limiting of this application. The singular expressions “a,” “an,” “the,” “the,” “the,” and “this” are intended to include the plural expressions as well, unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in this application refers to and includes any or all possible combinations of one or more of the listed items.

[0028] Hereinafter, the terms "first" and "second" are used for descriptive purposes only and should not be construed as implying or suggesting relative importance or implicitly indicating the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature, and in the description of the embodiments of this application, unless otherwise stated, "multiple" means two or more.

[0029] The following describes a method for optimizing the electrical control of a gas-insulated switchgear, using a specific scenario from this embodiment. Please refer to [link / reference needed]. Figure 1 , Figure 1 This is an exemplary scenario diagram of an electrical control optimization method for a gas-insulated switchgear according to an embodiment of this application.

[0030] exist Figure 1 The scenario includes a gas-insulated switchgear, an external ambient temperature sensor, an external ambient humidity sensor, an electrical control unit, and a gas replenishment device.

[0031] The gas-insulated switchgear is equipped with internal switch contacts and an internal insulating gas pressure sensor. The internal switch contacts acquire operating parameter signals through operational parameter detection and transmit these signals to the server's electrical control unit. The internal insulating gas pressure sensor collects real-time pressure signals of the insulating gas inside the cabinet and transmits these signals to the electrical control unit. An external ambient temperature sensor collects ambient temperature signals and transmits them to the electrical control unit, as does an external ambient humidity sensor.

[0032] After receiving operating parameter signals, real-time pressure signals, ambient temperature signals, and ambient humidity signals, the electronic control unit (ECU) executes the following processing steps: First, it calculates the dynamic target stable pressure value based on the ambient temperature, ambient humidity, and operating parameter signals to obtain the dynamic target stable pressure value under the current operating conditions. Second, it calculates the theoretical predicted pressure based on the ambient temperature signal to obtain the theoretical predicted pressure that the insulating gas should have under the current temperature conditions. Then, it compares the real-time pressure signal with the theoretical predicted pressure to determine whether the leakage judgment difference exceeds the preset leakage threshold. If it exceeds the preset leakage threshold, it is determined that there is a risk of gas leakage, and the ECU executes the adaptive pressure compensation command generation, generates control commands, and sends them to the gas compensation device.

[0033] The gas replenishment device includes a gas source and valves. After receiving control commands from the electrical control unit, it replenishes insulating gas into the gas-insulated switchgear by directing the insulating gas flow (replenishment) until the real-time insulating gas pressure inside the cabinet reaches the dynamic target stable pressure value. At this point, the electrical control unit stops sending control commands, the gas replenishment device closes the valves, and the pressure replenishment process ends. This scenario achieves adaptive and precise pressure replenishment of the insulating gas inside the cabinet.

[0034] To facilitate understanding, the method provided in this implementation is described below using the above scenario as an example. Please refer to [link / reference]. Figure 2 This is a flowchart illustrating the electrical control optimization method for a gas-insulated switchgear in this embodiment of the application.

[0035] S101. Real-time acquisition of the real-time insulating gas pressure inside the gas-insulated switchgear, the external ambient temperature and humidity, and the operating parameters of the internal switch contacts.

[0036] Gas-insulated switchgear refers to high-voltage electrical equipment that uses nitrogen or SF6 as the insulating medium, and is used to connect and disconnect circuits in a power system. Switch contacts are the conductive contact components inside the gas-insulated switchgear used to perform circuit switching operations.

[0037] After the gas-insulated switchgear is put into operation, the server continuously performs data acquisition tasks. The server synchronously reads the following four types of data according to a preset acquisition cycle through the data acquisition interface: First, it acquires the real-time insulating gas pressure of the sealed cavity inside the switchgear via a pressure sensor communication link. This pressure value reflects the actual inflation status of the insulating gas inside the switchgear at the current moment. Second, it acquires the ambient temperature of the external installation site of the gas-insulated switchgear via a temperature sensor communication link. This temperature value is used to subsequently determine the normal pressure fluctuation range caused by thermal expansion and contraction of the gas. Third, it acquires the external ambient humidity via a humidity sensor communication link. This humidity value is used to assess the degree to which the gas insulation performance is affected by moisture under the current environment. Fourth, it acquires the operating parameters of the internal switch contacts via the switchgear controller communication link. These operating parameters reflect whether the contacts are currently under high load conditions.

[0038] The above four types of data are acquired synchronously within the same acquisition cycle and have a unified timestamp to ensure that the parameters in subsequent calculations are strictly aligned in time sequence. This step provides a multi-dimensional real-time data foundation for the subsequent calculation of dynamic target stable pressure value, the estimation of theoretical predicted pressure, and the determination of leakage, enabling the system to sense the air pressure status inside the cabinet and the external environmental conditions.

[0039] S102. Based on the ambient temperature, ambient humidity, and operating parameters, calculate the current dynamic target voltage value;

[0040] The dynamic target voltage stabilization value is obtained by adding the preset base rated pressure, the temperature and humidity compensation corresponding to the ambient temperature and humidity, and the operating condition correction corresponding to the operating parameters. Among them, the preset base rated pressure refers to the rated gas filling pressure inside the gas-insulated switchgear determined by the equipment manufacturer according to the insulation design specifications under standard environmental conditions (e.g., temperature 20℃, relative humidity 60%) and static standby conditions. It is the reference starting point for the dynamic target voltage stabilization value.

[0041] After completing the data acquisition in step S101, the server immediately performs a dynamic target stable pressure value calculation based on the ambient temperature, ambient humidity, and operating parameters obtained in the current acquisition cycle. The calculation process involves the summation of three terms: the first term is the preset baseline rated pressure, which is written into the server storage by technicians according to the equipment nameplate parameters during system initialization and serves as a constant reference value in each calculation. The second item is the temperature and humidity compensation. The server calculates the temperature compensation component based on the deviation of the current ambient temperature from the standard temperature. For example, when the ambient temperature is lower than the standard temperature, the gas pressure naturally decreases due to contraction. In this case, the temperature compensation component is negative, indicating that the target pressure can be appropriately lowered to avoid misjudgment. Alternatively, the temperature compensation component can be determined according to the second embodiment: The server pre-stores a temperature compensation lookup table indexed by the ambient temperature. This table is generated by the equipment manufacturer during the factory calibration stage based on the thermodynamic characteristics of the insulating gas being filled. The table records the compensation pressure values ​​corresponding to several typical temperature nodes. After reading the current ambient temperature in each acquisition cycle, the server locates the two adjacent node intervals of the current temperature in the lookup table. According to the proportion of the current temperature in the interval, linear interpolation is performed between the compensation pressure values ​​of the two nodes to obtain the temperature compensation component corresponding to the current temperature. This is not limited here.

[0042] Simultaneously, the humidity compensation component is calculated based on the deviation of the current ambient humidity from the standard humidity. When the ambient humidity increases, the gas insulation margin decreases, and the humidity compensation component is positive, indicating that the target pressure needs to be appropriately increased to maintain sufficient insulation margin. It can also be determined in a similar way to the second embodiment of the temperature compensation component, which is not limited here. The sum of the temperature compensation component and the humidity compensation component is the temperature and humidity compensation amount.

[0043] The third item is the operating condition correction. The server determines the current operating condition level of the switch contacts based on the operating parameters. Specifically, the server predefines several operating condition levels, each corresponding to a fixed correction pressure value. This correction pressure value is calculated by the equipment manufacturer based on the insulation requirements of the switch contact gap under different operating conditions and then written to the server. The server determines the operating condition level of the switch contacts based on the operating parameters obtained in the current acquisition cycle. The specific determination rules are as follows: When the operating parameters show that the switch contacts are in a static standby state, it is determined to be a static operating condition, and the corresponding correction pressure value is zero; when the operating parameters show that the load current carried by the switch contacts exceeds the preset proportion of the rated current but has not reached the opening and closing action state, it is determined to be a medium load operating condition, and the corresponding correction pressure value is a preset medium positive value to compensate for the consumption of insulation margin by the current thermal effect; when the operating parameters show that the switch contacts are performing opening and closing actions or carrying a current exceeding a higher proportion of the rated current, it is determined to be a high load operating condition, and the corresponding correction pressure value is a preset large positive value to meet the increased insulation gas pressure requirement of the contact gap under arc erosion conditions.

[0044] Adding the above three items together yields the current dynamic target pressure value. This step allows the pressure replenishment target to fluctuate in real time with the actual environment and operating conditions, ensuring that the system always uses the optimal pressure level under the current conditions as the control benchmark, avoiding the problems of over- or under-replenishment caused by fixed thresholds when the environment fluctuates.

[0045] S103. Calculate the theoretical pressure at the current temperature based on the ambient temperature;

[0046] The theoretical pressure refers to the theoretical pressure value that the insulating gas inside the cabinet should exhibit under the current temperature conditions, calculated based on the gas state equation and the current ambient temperature, assuming that the gas-insulated switchgear is perfectly sealed and there are no leaks.

[0047] After completing data acquisition in step S101, the server calculates the theoretically predicted pressure using the current ambient temperature. The calculation principle is based on the gas state equation of an isochoric process: under the premise that the volume of the sealed cavity of the gas-insulated switchgear remains constant, the gas pressure inside the cabinet is directly proportional to the absolute temperature. The server reads the reference parameters recorded at the calibration time from storage, including the inflation pressure value and the ambient temperature value at the calibration time (converted to absolute temperature). Then, it converts the current ambient temperature to the current absolute temperature and calculates the theoretically predicted pressure according to the proportional relationship. That is, the theoretically predicted pressure is equal to the calibration inflation pressure multiplied by the ratio of the current absolute temperature to the calibration absolute temperature. Here, the calibration time can refer to the time when the gas-insulated switchgear was last confirmed to be sealed and inflation was completed, such as the time after factory testing, periodic maintenance, or the last time inflation was completed and no leakage was confirmed.

[0048] The theoretical pressure obtained in this step reflects the pressure inside the cabinet under ideal conditions without leakage, which should be affected only by temperature changes. This provides a physical benchmark for separating normal pressure fluctuations caused by temperature from abnormal pressure drops caused by leakage.

[0049] S104. Determine the leakage judgment difference based on the real-time insulating gas pressure and the theoretically predicted pressure;

[0050] After the server completes step S101 to obtain the real-time insulating gas pressure and calculates the theoretically predicted pressure in step S103 within the same acquisition cycle, the real-time insulating gas pressure is subtracted from the theoretically predicted pressure, and the result is the leakage judgment difference. If the cabinet is well sealed and the sensor has no significant drift, the real-time insulating gas pressure should match the theoretically predicted pressure, and the leakage judgment difference will fluctuate slightly around zero. This fluctuation mainly comes from factors such as sensor measurement accuracy error and microscopic turbulence of gas inside the cabinet. If there are sealing defects in the cabinet that cause the insulating gas to gradually leak out, the actual gas mass inside the cabinet will decrease, and the real-time insulating gas pressure will continue to be lower than the theoretically predicted pressure determined only by temperature changes. The leakage judgment difference will be negative, and the absolute value will gradually increase over time.

[0051] S105. If the leakage judgment difference exceeds the preset leakage threshold, it is determined that there is a risk of gas leakage. An adaptive pressure replenishment command is generated and triggered to replenish insulating gas into the gas-insulated switch cabinet until the real-time insulating gas pressure in the cabinet reaches the dynamic target stabilization value.

[0052] Before performing the preset leakage threshold comparison judgment, the dual time window trend verification of this step is first performed to confirm that the pressure deviation reflected by the current leakage judgment difference is indeed caused by continuous leakage rather than transient environmental disturbance.

[0053] The server uses the current sampling time as the endpoint and extracts all leakage judgment difference records from the historical data cache within a preset short time window and a preset long time window, respectively, to form a short window difference sequence and a long window difference sequence. The short window difference sequence contains leakage judgment difference data points from several recent consecutive sampling periods, while the long window difference sequence contains all leakage judgment difference data points from a longer time period. The long window difference sequence covers the short window difference sequence in terms of time span.

[0054] The server then performs a least-squares linear fit on the short-window difference sequence, using time as the independent variable and the leakage determination difference as the dependent variable, and calculates the slope of the fitted line as the short-window pressure change rate. Similarly, the same least-squares linear fit operation is performed on the long-window difference sequence, and the slope of the fitted line is calculated as the long-window pressure change rate. The short-window pressure change rate reflects the trend direction and speed of the leakage determination difference change within the recent few minutes, while the long-window pressure change rate reflects the overall evolution direction and speed of the leakage determination difference over a longer period.

[0055] The server then determines whether both the short-window and long-window pressure change rates are negative. If both are negative, it indicates that the leak detection difference shows a continuous decreasing trend on both the short-term and long-term timescales; that is, the deviation of the real-time insulating gas pressure from the theoretically predicted pressure is continuously increasing in both the short and long term, exhibiting temporal consistency characteristics of a real leak. If neither is negative simultaneously—for example, the short-window pressure change rate is positive while the long-window pressure change rate is negative, or both are positive—the current pressure deviation may originate from transient factors such as sudden changes in ambient temperature or short-term sensor drift, and the server will not proceed with further leak confirmation.

[0056] After confirming that both rates are negative, the server further determines whether the absolute value of the long-window pressure change rate exceeds a preset chronic leakage rate threshold. This chronic leakage rate threshold is a pre-set critical value for judging the absolute value of the long-window pressure change rate, used to distinguish between extremely slow natural decay and true chronic leakage. It is determined by technicians based on the sealing design life and allowable annual leakage rate of the gas-insulated switchgear. This judgment distinguishes between a significant pressure drop caused by a true leak and trace amounts of gas permeation caused by the natural aging of the sealing material. When the absolute value of the long-window pressure change rate exceeds the chronic leakage rate threshold, it indicates that the pressure drop rate has exceeded the normal natural decay range. The server confirms the validity of the current leakage judgment difference and allows subsequent steps to compare this leakage judgment difference with the preset leakage threshold and perform a leakage risk assessment. When the absolute value of the long-window pressure change rate does not exceed the chronic leakage rate threshold, it indicates that the pressure drop is extremely slow and within the allowable range of natural permeation of the seal. The server does not confirm the validity of the leakage judgment difference and does not trigger subsequent leakage risk assessments.

[0057] The above steps, through the synergistic effect of dual-time-window trend consistency verification and rate threshold filtering, add a time-series-based pre-verification to the leakage determination, effectively suppressing false alarms caused by non-leakage factors such as sudden changes in ambient temperature, sensor noise pulses, or short-term humidity fluctuations, ensuring that the formal leakage determination process is only initiated when the pressure drop trend is continuous, consistent, and the rate significantly exceeds the natural decay level.

[0058] If the absolute value of the leakage detection difference exceeds the preset leakage threshold, the server determines that there is an abnormal loss of insulating gas in the cabinet that exceeds normal physical laws, confirms the risk of gas leakage, and then generates an adaptive pressure compensation command.

[0059] After confirming a gas leak risk and generating an adaptive pressure replenishment command, the server enters the gas replenishment execution phase. The server first reads the current dynamic target stabilization pressure and the most recently acquired real-time insulating gas pressure, calculating the initial pressure difference between the two. Based on this initial pressure difference, the server determines the planning parameters for the trial gas replenishment cycle, including the valve opening duration for a single pulse pressure replenishment and the expected number of cycles. When the initial pressure difference is large, the server can appropriately increase the duration of a single pulse pressure replenishment to improve replenishment efficiency; when the initial pressure difference is small, the server shortens the duration of a single pulse pressure replenishment to improve approximation accuracy. Through this segmentation method, the entire gas replenishment process is broken down into several discrete trial gas replenishment cycles executed sequentially, rather than continuously replenishing gas until the target value is reached in one go.

[0060] During each trial gas replenishment cycle, the server first issues a valve opening command to the pressure replenishment actuator. After the pressure replenishment valve opens, the insulating gas from the external high-pressure gas source enters the sealed cavity of the gas-insulated switchgear through the pipeline. After the valve remains open for a set time, the server issues a valve closing command to stop gas injection. This set time is a fixed value pre-calculated based on the gas source pressure, pipeline diameter, and the expected replenishment amount per pulse, ensuring that the amount of gas replenished in each pulse is controllable and consistent. After the valve closes, the server does not immediately read the pressure sensor values ​​for judgment, but instead enters a gas pressure diffusion and settling stage. In this stage, the server waits for a preset settling time (e.g., 30 seconds to 2 minutes) to allow the newly injected insulating gas to fully diffuse from the gas replenishment inlet to all areas inside the cabinet, mix with the existing gas, and achieve spatial pressure equilibrium. During the waiting period, the gas pressure inside the cabinet gradually transitions from a local high-pressure area to a stable state with overall uniform distribution.

[0061] Once the preset settling time for the gas pressure diffusion settling phase is reached, the server collects the pressure value inside the cabinet via a pressure sensor. This value is the true settling pressure. Since the gas has fully diffused and there is no residual gas flow pressure in the pipeline at this point, the true settling pressure accurately reflects the actual level of insulating gas filling inside the cabinet, avoiding the problem of inflated sensor readings caused by airflow impact and localized pressure concentration during gas replenishment. The server uses this true settling pressure as the real-time insulating gas pressure at the end of the current cycle and compares it with the dynamic target stabilization value. If the true settling pressure has reached or exceeded the dynamic target stabilization value, the server determines that the gas replenishment target has been achieved, ends the gas replenishment process, and does not trigger a new trial gas replenishment cycle. If the true settling pressure is still lower than the dynamic target stabilization value, the server determines that the gas pressure inside the cabinet has not yet recovered to the target level and immediately triggers the next trial gas replenishment cycle, repeating the quantitative pulse pressure replenishment and gas pressure diffusion settling operation sequence until the true settling pressure reaches the dynamic target stabilization value.

[0062] This step addresses the issue of over-inflation that can occur with continuous gas replenishment due to pipeline delays and sensor response lags by converting continuous gas replenishment into a discrete pulse approximation method. After each trial gas replenishment cycle, the actual static pressure after diffusion equalization is used as the feedback criterion, ensuring the accuracy and reliability of the pressure value used for each judgment and preventing false high-pressure readings during the dynamic flow of air from misleading the control logic.

[0063] In the above embodiment, the internal insulating gas pressure of the gas-insulated switchgear, as well as the external ambient temperature, humidity, and internal switch contact operating parameters are collected in real time. The target stable pressure value is dynamically calculated based on the temperature and humidity compensation and operating condition correction. At the same time, the pressure is estimated based on the ambient temperature calculation theory and compared with the real-time insulating gas pressure to obtain the leakage judgment difference. When the difference exceeds the preset leakage threshold, an adaptive pressure replenishment command is automatically generated to replenish the insulating gas in the cabinet until the pressure reaches the dynamic target stable pressure value. Therefore, it can accurately distinguish between normal pressure fluctuations caused by temperature changes and real gas leakage caused by sealing failure under changing environmental conditions. This effectively solves the problems of frequent false alarms or missed leaks and insufficient insulation margin caused by the disconnect between the pressure replenishment target and the actual operating requirements when the traditional fixed threshold judgment method changes the ambient temperature, humidity, and load conditions. Thus, intelligent dynamic monitoring and adaptive precise pressure replenishment of the insulating gas pressure of the gas-insulated switchgear are realized.

[0064] In some embodiments, during the process of replenishing insulating gas to the gas-insulated switchgear through discrete test gas replenishment cycles, the temperature of the insulating gas in the external high-pressure gas source drops sharply after throttling and expansion. When the high-pressure gas enters the sealed cavity inside the cabinet through the pressure replenishment valve, a significant cooling phenomenon occurs. When the cold gas diffuses along the pipeline to the insulation cavity where the switch contacts are located, it may cause a sharp drop in local temperature. When the temperature drop rate is too fast, the surface temperature of the contacts and the surface temperature of the insulation components may be lower than the dew point temperature, causing condensation. Condensation can seriously degrade the insulation performance and even lead to discharge accidents.

[0065] The following provides a more detailed description of the process of the method provided in this implementation. Please refer to [link / reference]. Figure 3 This is another flowchart illustrating the electrical control optimization method for gas-insulated switchgear in this application embodiment.

[0066] S201. Continuously collect the diffusion pressure sequence of insulating gas under static conditions at a preset collection frequency;

[0067] After completing the quantitative pulse pressure replenishment and closing the pressure replenishment valve in each trial gas replenishment cycle, the server immediately enters the gas pressure diffusion settling stage and initiates a high-frequency data acquisition task. The server continuously reads the output values ​​of the pressure sensors installed in the sealed cavity of the gas-insulated switchgear at a preset acquisition frequency, storing each acquired pressure value along with its corresponding timestamp into a buffer to form an insulating gas diffusion pressure sequence. This sequence begins recording from the moment the valve closes and continues until the end of the gas pressure diffusion settling stage. Early data points in the sequence typically show a rapid decrease or oscillation in pressure values, reflecting the dissipation of residual dynamic pressure in the pipeline at the moment the gas replenishment pulse ends; mid-term data points show a slow stabilization of pressure values, reflecting the homogenization process of gas diffusion from the gas replenishment inlet area to the far end of the cabinet; and final data points tend to flatten, indicating that the gas has essentially completed its spatial distribution equilibrium.

[0068] S202. Synchronously collect the surface temperature drop gradient sequence from the injection end of the pressure-replenishing valve to the insulating cavity where the internal switch contact is located;

[0069] While the server initiates the acquisition of the insulating gas diffusion pressure sequence during the gas pressure diffusion settling phase, it simultaneously initiates the temperature gradient acquisition task. Inside the gas-insulated switchgear, several temperature sensor nodes are pre-positioned along the gas diffusion path from the injection end of the pressure replenishment valve to the insulation cavity where the internal switch contacts are located. These nodes are evenly spaced or distributed at key locations along the diffusion path. The server synchronously reads the temperature values ​​of each temperature sensor node at the same preset acquisition frequency as in step S201, and calculates the rate of temperature change (i.e., temperature drop rate) of each node between adjacent acquisition times. The temperature drop rates of all nodes throughout the entire settling phase are arranged in temporal and spatial order to form a surface temperature drop gradient sequence. This sequence includes both the temporal trend of temperature change of each node over the settling time and the spatial characteristics of temperature drop propagation as the cold gas front advances from the injection end into the insulation cavity.

[0070] S203. Determine whether the maximum rate of temperature drop in the surface temperature drop gradient sequence exceeds the preset threshold for rapid cooling rate.

[0071] The preset rapid cooling rate threshold refers to the pre-set safe critical value of the temperature drop rate. This threshold is determined by technicians based on a comprehensive calculation of the type of insulating gas inside the cabinet, the dew point temperature under the current ambient humidity conditions, and the heat capacity of the insulating material.

[0072] After completing each update of the surface temperature drop gradient sequence in step S202, the server extracts the maximum rate of temperature drop from the currently accumulated sequence data in real time. The server iterates through the temperature drop rate values ​​of all spatial nodes at the current acquisition time and takes the one with the largest absolute value as the maximum rate of temperature drop. Subsequently, the server compares this maximum rate of temperature drop with a preset quenching rate threshold.

[0073] If the maximum cooling rate does not exceed the preset rapid cooling rate threshold, it indicates that the cooling intensity during the cold gas diffusion process is within a safe range, the surface temperature at each location inside the cabinet is still far from the dew point temperature, there is no risk of condensation, and step S206 is executed.

[0074] If the temperature exceeds the limit, it indicates that the insulating gas has caused an excessively drastic temperature drop in a certain area inside the cabinet. The surface temperature of this area is at risk of falling below the dew point and causing condensation. Proceed to step S204.

[0075] S204. Suspend the trigger command for the next test gas replenishment cycle and start the moisture-proof heating module in the gas-insulated switch cabinet to compensate for the temperature rise of the insulating gas of the internal switch contacts.

[0076] After determining in step S203 that the maximum rate of temperature drop exceeds the preset threshold for rapid cooling rate, the server immediately performs two parallel operations. The first operation is to suspend the trigger command for the next trial gas replenishment cycle. The server marks the gas replenishment process status as paused. Even if the current actual static pressure has not yet reached the dynamic target stable pressure value, the server will no longer issue valve opening commands to avoid introducing more cold gas in a new round of pulse pressure replenishment, which would further aggravate the temperature drop inside the cabinet.

[0077] The second operation is to activate the moisture-proof heating module. Specifically, the server first reads the real-time temperature value of the temperature sensor in the insulation cavity where the internal switch contacts are located, as well as the preset anti-condensation safety red line value, and calculates the temperature difference gap between the two. This temperature difference gap represents the amount of temperature rise that needs to be compensated for.

[0078] The server then calculates the target heat input value based on the temperature difference gap and the known gas volume in the insulation cavity. The server reads the sealed space volume of the insulation cavity from the equipment parameters as the known gas volume, and combines this with the current pressure and temperature values ​​of the insulating gas inside the cabinet to calculate the mass of the gas in the insulation cavity according to the gas state equation. The server then uses this gas mass, the isobaric specific heat capacity of the insulating gas, and the temperature difference gap to calculate the total heat required to raise the temperature of all the gas in the cavity to the temperature difference gap using the heat formula, thus obtaining the target heat input value.

[0079] The server then determines the heating duration based on the rated heating power of the moisture-proof heating module and the target heat input value. The server divides the target heat input value by the rated heating power to obtain the theoretically required duration for continuous heating at full power, which is then used as the heating duration. This duration serves as the maximum time budget and control reference for the entire temperature compensation process. If the real-time temperature reaches the anti-condensation safety threshold within this duration, heating is terminated prematurely.

[0080] After determining the heating duration, the server drives the moisture-proof heating module to begin temperature compensation using pulse width modulation (PWM). The server calculates the duty cycle of the PWM signal, comparing the rated heating power of the moisture-proof heating module with the power limit corresponding to the preset maximum allowable temperature rise rate. This ratio is used as the duty cycle setting. When the rated heating power is less than or equal to the power limit corresponding to the preset maximum allowable temperature rise rate, the duty cycle calculation result is greater than or equal to 1. In this case, the server limits the duty cycle to 1, meaning continuous full-power operation, indicating that the rated power itself is within a safe range and does not require restriction. When the rated heating power is greater than the power limit corresponding to the preset maximum allowable temperature rise rate, the duty cycle calculation result is less than 1. The server uses this ratio as the duty cycle and, through periodic on / off control, limits the average output power of the heating module below the power limit corresponding to the maximum allowable temperature rise rate, ensuring that the temperature rise rate of the gas in the insulation cavity and the surface of the insulation component does not exceed the material's safe tolerance range.

[0081] During the heating execution time, the server continuously monitors the real-time temperature of the insulation cavity at a preset sampling frequency. Each time a new real-time temperature value is collected, the server compares it to the anti-condensation safety threshold. When the real-time temperature reaches the anti-condensation safety threshold, the server immediately shuts off the pulse width modulation drive signal of the moisture-proof heating module, stops supplying power to the heating module, and ends the temperature compensation process. At this point, regardless of whether the heating execution time has been exhausted, the server immediately terminates the heating operation to prevent the temperature from continuing to rise beyond the necessary level. This early termination mechanism ensures that the temperature compensation stops precisely at the target temperature point, eliminating the risk of condensation without causing overheating.

[0082] S205. When the real-time temperature of the insulation cavity where the internal switch contact is located rises back to the preset anti-condensation safety red line, stop the temperature compensation and resume the comparison between the actual static pressure and the dynamic target stable voltage value.

[0083] When the real-time temperature rises to or exceeds the preset anti-condensation safety threshold, the server determines that the temperature in the insulation cavity area has returned to a safe level and the risk of condensation has been eliminated. It then performs two operations: First, it sends a power-off command to the moisture-proof heating module to stop the temperature compensation, preventing continuous heating from causing excessively high temperatures inside the cabinet that could affect the insulation gas density and insulation performance. Second, it restores the gas replenishment process from paused to normal operation. The server rereads the current end value of the insulation gas diffusion pressure sequence as the actual static pressure and compares it with the dynamic target stable pressure value. If the actual static pressure has reached the dynamic target stable pressure value, the gas replenishment process ends; if the actual static pressure is still lower than the dynamic target stable pressure value, the server releases the suspension and triggers the next trial gas replenishment cycle, continuing the quantitative pulse pressure replenishment operation.

[0084] In some embodiments, during the process of stopping temperature compensation and resuming the comparison between the actual static pressure and the dynamic target stable pressure value, because the moisture-proof heating module continuously inputs heat into the gas in the insulation cavity during temperature compensation, the temperature of the insulating gas in the sealed cavity rises and undergoes thermal expansion under constant volume conditions, causing the pressure to rise synchronously with the temperature. At this time, the pressure value collected by the pressure sensor contains a false pressure component due to the increase in temperature rather than the increase in gas mass. If this pressure value is directly used as the actual static pressure for comparison with the dynamic target stable pressure value, it may misjudge that the gas in the cabinet is sufficient and terminate the gas replenishment process prematurely, resulting in insufficient actual gas quantity and potential defects in insulation performance. In this case, the following steps can be performed:

[0085] After the server confirms in step S205 that the real-time temperature of the insulation cavity has risen back to the preset anti-condensation safety red line and shuts off the moisture-proof heating module drive signal, it first performs a thermal expansion pressure correction operation before restoring the comparison between the actual static pressure and the dynamic target stable pressure value.

[0086] The server extracts the temperature sensor reading at the moment the heating compensation stops as the highest settling temperature. Simultaneously, it retrieves the most recent insulation cavity temperature value collected before the start of heating compensation, i.e., before the start of the moisture-proof heating module in step S204, from historical data records as the initial settling temperature. The server also synchronously extracts the air pressure sensor reading at the moment corresponding to the initial settling temperature as the reference pressure.

[0087] The server then calculates the spurious pressure increment due to thermal expansion based on the isochoric gas law. The server converts the initial and maximum static temperatures to absolute temperatures (Celsius plus 273.15), calculates the ratio between the absolute temperature of the maximum static temperature and the absolute temperature of the initial static temperature, multiplies this ratio by the reference pressure to obtain the theoretical pressure value under the maximum static temperature condition, and then subtracts the reference pressure from this theoretical pressure value. The difference is the spurious pressure increment due to thermal expansion compensation. This increment represents the pressure rise caused solely by the temperature increase and is independent of the actual amount of insulating gas injected into the cabinet.

[0088] The server then selects the most recent, preset number of pressure data points from the continuously collected insulating gas diffusion pressure sequence after the temperature compensation stops. For each data point, the server subtracts the spurious pressure increment due to thermal expansion from the original pressure value, obtaining a corrected pressure sequence after eliminating the heating effect. Each value in this corrected pressure sequence represents the true pressure level after the gas temperature has been equivalently converted back to the initial static temperature condition, eliminating the positive offset interference caused by temperature compensation on the pressure readings.

[0089] The server performs stability and compliance checks on the corrected pressure sequence. It checks each pressure value in a consecutive preset number of corrected pressure values ​​to ensure they all fall within the preset allowable deviation range of the dynamic target stable pressure value. If any one of the consecutive preset number of corrected pressure values ​​falls outside the allowable deviation range, the server determines that the current pressure has not yet stabilized and meets the target. It then waits for subsequent data collection to update the corrected pressure sequence before re-evaluating, or determines that the gas supply is still insufficient and requires another trial gas supply cycle. When all consecutive preset number of corrected pressure values ​​fall within the allowable deviation range of the dynamic target stable pressure value, the server determines that the actual pressure of the insulating gas inside the cabinet, after eliminating the effects of thermal expansion, has stabilized and reached the target level. The latest timestamp value in the corrected pressure sequence is then output as the actual static pressure for use in the subsequent recovery comparison step S205.

[0090] This step quantitatively isolates the thermal expansion effect caused by temperature compensation by introducing the isochoric gas state equation, ensuring that the pressure determination after heating intervention is still based on the actual gas charge rather than false readings caused by temperature fluctuations, thus avoiding the problem of premature termination of gas supply due to thermal expansion. The judgment condition of multiple consecutive points falling into the deviation zone further ensures the stability of the corrected pressure, eliminating the situation where a single sampling point accidentally reaches the standard but the overall pressure has not yet stabilized, and improving the reliability of the final true static pressure determination.

[0091] S206, Do not activate temperature compensation.

[0092] If the maximum cooling rate does not exceed the preset quenching rate threshold, then proceed with this step.

[0093] In this embodiment, because the diffusion pressure sequence of insulating gas and the surface temperature drop gradient sequence from the injection end of the pressure replenishment valve to the insulation cavity are monitored simultaneously during the gas pressure diffusion static stage, and the real-time comparison of the maximum drop rate and the threshold of the rapid cooling rate is used as the basis for predicting the risk of condensation, when the temperature drop rate is detected to exceed the standard, the subsequent gas replenishment cycle is immediately suspended and the moisture-proof heating module is started to perform temperature compensation. The pressure comparison and gas replenishment process are resumed only after the temperature of the insulation cavity rises back to the anti-condensation safety red line. Therefore, thermal compensation intervention can be proactively intervened and cold source input can be blocked before condensation actually occurs. This effectively solves the problem that the temperature of the high-voltage insulating gas drops sharply after throttling and expansion, causing condensation on the surface of the switch contacts and insulating parts, which in turn deteriorates the insulation performance and even causes discharge accidents. Thus, the synergistic protection of insulation safety and gas pressure recovery efficiency during the gas replenishment process is achieved.

[0094] The server in this application embodiment is described below from a hardware processing perspective. Please refer to [link / reference]. Figure 4 This is a schematic diagram of the physical device structure of a server in an embodiment of this application.

[0095] It should be noted that, Figure 4 The server structure shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0096] like Figure 4As shown, the server includes a Central Processing Unit (CPU) 401, which can perform various appropriate actions and processes based on a program stored in Read-Only Memory (ROM) 402 or a program loaded from storage portion 408 into Random Access Memory (RAM) 403, such as performing the methods described in the above embodiments. The RAM 403 also stores various programs and data required for system operation. The CPU 401, ROM 402, and RAM 403 are interconnected via a bus 404. An Input / Output (I / O) interface 405 is also connected to the bus 404.

[0097] The following components are connected to I / O interface 405: input section 406 including audio input devices, push-button switches, etc.; output section 407 including a liquid crystal display (LCD) and audio output devices, indicator lights, etc.; storage section 408 including a hard disk, etc.; and communication section 409 including a network interface card such as a LAN (Local Area Network) card, modem, etc. Communication section 409 performs communication processing via a network such as the Internet. Drive 410 is also connected to I / O interface 405 as needed. Removable media 411, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., are installed on drive 410 as needed so that computer programs read from them can be installed into storage section 408 as needed.

[0098] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program including a computer program for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 409, and / or installed from removable medium 411. When the computer program is executed by central processing unit (CPU) 401, it performs the various functions defined in this application.

[0099] It should be noted that specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing. In this application, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0100] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. Each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those shown in the drawings.

[0101] Specifically, the server in this embodiment includes a processor and a memory. The memory stores a computer program. When the computer program is executed by the processor, it implements the electrical control optimization method for the gas-insulated switchgear provided in the above embodiment.

[0102] In another aspect, this application also provides a computer-readable storage medium, which may be included in the server described in the above embodiments; or it may exist independently and not assembled into the server. The storage medium carries one or more computer programs that, when executed by a processor of the server, cause the server to implement the electrical control optimization method for the gas-insulated switchgear provided in the above embodiments.

[0103] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit it. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

[0104] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM or random access memory (RAM), magnetic disks, or optical disks.

Claims

1. A method for optimizing the electrical control of a gas-insulated switchgear, characterized in that, The method includes: Real-time data collection is performed on the insulating gas pressure inside the gas-insulated switchgear, the external ambient temperature and humidity, and the operating parameters of the internal switch contacts. Based on the ambient temperature, the ambient humidity, and the operating parameters, the current dynamic target stable pressure value is calculated. The dynamic target stable pressure value is obtained by adding the preset base rated pressure, the temperature and humidity compensation amount corresponding to the ambient temperature and humidity, and the operating condition correction amount corresponding to the operating parameters. Calculate the theoretically predicted pressure at the current temperature based on the ambient temperature; The difference between the real-time insulating gas pressure and the theoretically predicted pressure is used to determine the leakage determination value; If the leakage judgment difference exceeds the preset leakage threshold, a gas leakage risk is determined, an adaptive pressure replenishment command is generated and triggered, and insulating gas is replenished into the gas-insulated switchgear until the real-time insulating gas pressure in the cabinet reaches the dynamic target stabilization value.

2. The method according to claim 1, characterized in that, The steps of replenishing insulating gas into the gas-insulated switchgear specifically include: Based on the initial pressure difference between the dynamic target stabilization value and the current real-time insulating gas pressure, the gas replenishment process is divided into multiple discrete trial gas replenishment cycles. During each of the aforementioned trial gas replenishment cycles, the pressure replenishment valve is opened to perform quantitative pulse pressure replenishment, and after a set duration, the pressure replenishment valve is closed to enter the gas pressure diffusion and settling stage. During the gas pressure diffusion and settling stage, the actual settling pressure after the gas pressure in the gas-insulated switchgear is extracted after the gas pressure has diffused evenly. The actual static pressure is used as the real-time insulating gas pressure for the current cycle, and compared with the dynamic target stabilization value to determine whether to trigger the next trial gas replenishment cycle.

3. The method according to claim 2, characterized in that, The step of extracting the actual static pressure after the gas pressure has evenly diffused within the gas-insulated switchgear during the gas pressure diffusion and settling stage specifically includes: The diffusion pressure sequence of insulating gas under static conditions is continuously collected at a preset sampling frequency; Simultaneously collect the surface temperature drop gradient sequence from the injection end of the pressure-replenishing valve to the insulating cavity where the internal switch contact is located; Determine whether the maximum rate of temperature drop in the surface temperature drop gradient sequence exceeds a preset quenching rate threshold. If the maximum rate of decrease exceeds the threshold of the rapid cooling rate, the trigger command for the next trial gas replenishment cycle is suspended, and the moisture-proof heating module in the gas-insulated switch cabinet is activated to compensate for the temperature rise of the insulating gas in the internal switch contacts. When the real-time temperature of the insulation cavity where the internal switch contact is located rises back to the preset anti-condensation safety red line, the heating compensation stops and the comparison between the actual static pressure and the dynamic target stable pressure value is restored.

4. The method according to claim 3, characterized in that, The step of activating the moisture-proof heating module inside the gas-insulated switchgear to compensate for the temperature rise of the insulating gas in the internal switch contacts specifically includes: Read the temperature difference gap between the real-time temperature and the anti-condensation safety red line; Based on the known gas volume of the temperature difference gap and the insulation cavity, calculate the target heat input value required to raise the insulating gas from the real-time temperature to the anti-condensation safety red line; The heating duration is determined based on the rated heating power of the moisture-proof heating module and the target heat input value. The moisture-proof heating module is driven by pulse width modulation, and the duty cycle of a single heating pulse in the pulse width modulation is set to the ratio between the rated heating power and the upper limit of the power corresponding to the preset maximum allowable temperature rise rate. During the heating execution time, when the real-time temperature reaches the anti-condensation safety red line, the drive signal of the moisture-proof heating module is turned off, and the temperature compensation ends.

5. The method according to claim 3, characterized in that, Before the step of stopping the temperature compensation and restoring the comparison between the actual static pressure and the dynamic target stable pressure value, the method further includes: Extract the highest settling temperature at the moment when the temperature compensation stops, and the initial settling temperature before the temperature compensation starts; Using the pressure sensor reading corresponding to the initial static temperature as the reference pressure, the spurious pressure increment caused by thermal expansion due to temperature rise compensation is calculated according to the ratio of the highest static temperature to the initial static temperature. Subtracting the spurious pressure increment due to thermal expansion from the corresponding values ​​of the insulating gas diffusion pressure sequence of a consecutive preset number, we obtain the corrected pressure sequence after eliminating the effect of heating. When the pressure values ​​in the corrected pressure sequence for a consecutive preset number of times all fall within the allowable deviation range of the dynamic target stable pressure value, the last value of the corrected pressure sequence is taken as the true static pressure.

6. The method according to claim 1, characterized in that, If the difference in leakage determination exceeds a preset leakage threshold, the step prior to determining a gas leakage risk includes: Using the current sampling time of the leakage judgment difference as the endpoint, the leakage judgment difference sequences within a preset short time window and a preset long time window are respectively extracted to obtain the short window difference sequence and the long window difference sequence; Linear fitting is performed on the short window difference sequence to extract the short window pressure change rate; linear fitting is also performed on the long window difference sequence to extract the long window pressure change rate. Determine whether the short window pressure change rate and the long window pressure change rate are both negative; If both are negative, then determine whether the absolute value of the rate of change of pressure in the long window exceeds the preset chronic leakage rate threshold. When the absolute value of the rate exceeds the chronic leakage rate threshold, the leakage determination difference is confirmed to be valid.

7. The method according to claim 6, characterized in that, After the step of determining whether the absolute value of the rate of change of pressure in the long window exceeds a preset chronic leakage rate threshold, the method further includes: When the direction of the short window pressure change rate is inconsistent with that of the long window pressure change rate, or when the absolute value of the rate does not exceed the chronic leakage rate threshold, the current leakage determination difference is marked as a transient offset caused by environmental disturbance, and the gas leakage risk determination is not triggered.

8. A server, characterized in that, The server includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code including computer instructions, and the one or more processors call the computer instructions to cause the server to perform the method as described in any one of claims 1-7.

9. A computer-readable storage medium comprising instructions, characterized in that, When the instructions are executed on the server, the server causes the server to perform the method as described in any one of claims 1-7.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is run on the server, it causes the server to perform the method as described in any one of claims 1-7.

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