A method, system, product, and medium for operating and controlling a box-type energy storage substation

Abstract

A method, system, product and medium for operating and controlling a containerized energy storage substation. The method includes: collecting internal gas concentration data of the containerized energy storage substation, comparing it with a preset threshold to determine whether there is gas leakage; if there is, recording relevant data and detecting the insulation resistance value of electrical contact components; based on the gas concentration data and leakage time in the leakage area, determining whether the conditions for triggering a chemical reaction are met; if possible, spraying an inert gas into the leakage area; if the insulation resistance value is lower than the safety threshold, performing electromagnetic isolation on the leakage area and stopping the power load distribution to the relevant energy storage units; subsequently, applying a current to the electrical contact components at a preset frequency to detect the insulation performance value; when the insulation performance returns to the safe range, redistributing the power load to the leakage area. Implementing the above technical solution improves the safety of the fault area after the insulation performance decreases due to gas leakage during the operation of the containerized energy storage substation.

Description

Technical Field

[0001] This application relates to the field of electrical digital data processing, and in particular to a method, system, product, and medium for operating and controlling a containerized energy storage substation. Background Art

[0002] With the rapid development of new energy technologies, containerized energy storage substations have been widely used in the power system. As an integrated and efficient power energy storage and management device, a containerized energy storage substation can effectively respond to power grid fluctuations, enhance the stability of the power system, and achieve the efficient utilization of clean energy. Its main application scenarios include power smoothing of new energy power generation, peak-valley regulation, emergency power supply guarantee, and improvement of grid-side flexibility. Driven by the current "dual carbon" goal, containerized energy storage substations have become an important technical means to promote energy transformation, and their market scale and application scope are constantly expanding.

[0003] Currently, for the operation and control of containerized energy storage substations, intelligent monitoring means based on sensor data collection and processing are usually adopted. For the gas leakage situation in a containerized energy storage substation, gas concentration sensors are usually installed to monitor the internal gas concentration data in real time. When the detected gas concentration exceeds a preset threshold, an alarm signal is issued, and the power supply of the entire substation is cut off as needed.

[0004] However, in the related art, relying solely on gas concentration detection and alarm easily leads to the shutdown of non-fault areas; the detection method of insulation performance is relatively single, and it is difficult to comprehensively judge the recovery situation of insulation performance. Therefore, when dealing with the decrease in insulation performance caused by gas leakage in the related art, there is a lack of effective isolation and monitoring means, resulting in potential safety problems in the fault area when gas leakage occurs during the operation of the containerized energy storage substation. Summary of the Invention

[0005] This application provides a method, system, product, and medium for operating and controlling a containerized energy storage substation, which is used to improve the safety of the fault area after the insulation performance decreases due to gas leakage during the operation of the containerized energy storage substation.

[0006] In the first aspect of this application, a method for operating and controlling a containerized energy storage substation is provided. The method includes:

[0007] Collect gas concentration data inside the containerized energy storage substation; the gases in the gas concentration data include hydrogen, carbon dioxide, and trace electrolyte volatiles; compare the gas concentration data with the preset gas concentration safety threshold to determine whether there is a gas leakage phenomenon; the gas leakage phenomenon is that abnormal gas concentration data exceeding the safety threshold is detected in the gas concentration data; if so, record the leakage area, leakage time, and abnormal gas concentration data corresponding to the gas leakage phenomenon, and detect the insulation resistance of the electrical contact components of the containerized energy storage substation; based on the abnormal gas concentration data and leakage time of the leakage area, determine whether the leaked gas meets the conditions for triggering a chemical reaction; if so, spray the preset inert gas on the leakage area; when the leakage insulation resistance value of the insulation resistance is lower than the insulation resistance value safety threshold, perform electromagnetic isolation on the leakage area, and at the same time, no longer allocate the power load to the energy storage unit in the leakage area; apply a preset current to the electrical contact components at a preset insulation performance detection frequency to detect the insulation performance value of the electrical contact components; the insulation performance value includes insulation resistance value, insulation breakdown voltage, dielectric loss factor, and partial discharge characteristics; if the insulation performance is within the preset safe insulation performance range, restore the power load allocation in the leakage area.

[0008] In the above embodiments, through multiple monitoring and judgment, the safety risks caused by gas leakage can be effectively identified and controlled, isolation protection can be carried out when the insulation performance deteriorates, and inert gas can be sprayed when a chemical reaction may be triggered to ensure the safe operation of the energy storage unit; at the same time, through dynamic detection and recovery operations, the system function can be quickly restored after the problem is solved, taking into account both safety and operation efficiency. It can not only judge the gas leakage risk, but also combine with dynamic insulation performance monitoring to achieve the coordinated prevention and control of gas leakage and electrical faults, significantly improving the safety of the fault area after the insulation performance decreases due to gas leakage.

[0009] Combined with some embodiments of the first aspect, in some embodiments, after if so, record the leakage area, leakage time, and abnormal gas concentration data corresponding to the gas leakage phenomenon, and detect the insulation resistance of the electrical contact components of the containerized energy storage substation, it further includes:

[0010] Collect the leakage humidity data and leakage temperature data of the leakage area; use the leakage humidity data, leakage temperature data combined with the abnormal gas concentration data to calculate the condensation risk value in the leakage area; if the condensation risk value exceeds the preset condensation risk safety threshold, start the heating device to heat the leakage area.

[0011] In the above embodiments, by combining the humidity, temperature, and abnormal gas concentration data of the leakage area, the condensation risk value is calculated, and when the risk value exceeds the preset safety threshold, the heating device is activated to heat the area to prevent the occurrence of condensation. Condensation may cause gas to accumulate on the surface of the equipment, increasing the risk of deterioration of the insulation performance of electrical equipment, and may also exacerbate corrosion or trigger chemical reactions; through real-time monitoring and active heating, the formation of condensation can be effectively inhibited, ensuring the insulation performance and operation safety of the equipment.

[0012] In combination with some embodiments of the first aspect, in some embodiments, the leakage humidity data, leakage temperature data, and abnormal gas concentration data are used to calculate the condensation risk value in the leakage area, specifically including:

[0013] Use the leakage humidity data, leakage temperature data, abnormal gas concentration data, and the first formula to calculate the condensation risk value in the leakage area; where the first formula is: ; where is the condensation risk value, is the leakage humidity data, is the dew point temperature, is the leakage temperature data, is the abnormal gas concentration data, is the gas influence coefficient, which is preset based on the chemical properties of the gas.

[0014] In the above embodiments, by using the formula, the leakage humidity data, temperature data, abnormal gas concentration data, and gas influence coefficient are combined to calculate the condensation risk value, and the difference between the dew point temperature and the current ambient temperature is used as the core to judge the condensation risk. When the condensation risk value exceeds the preset safety threshold, intervention measures such as heating are taken. This formula comprehensively considers the influence of environmental humidity, temperature, and the chemical characteristics of abnormal gases on the formation of condensation, can accurately evaluate the condensation risk, and ensure timely intervention before the risk reaches the critical state, thereby effectively preventing the threat of condensation to the insulation performance and operation safety of the equipment.

[0015] In combination with some embodiments of the first aspect, in some embodiments, after the heating device is activated to heat the leakage area if the condensation risk value exceeds the preset condensation risk safety threshold, it further includes:

[0016] Collect real-time leakage humidity data and real-time gas concentration data of the leakage area at a preset environmental data collection frequency; calculate the humidity change rate based on the real-time leakage humidity data; when the humidity change rate is lower than the preset minimum humidity change rate threshold, increase the heating temperature of the heating device according to the humidity change rate difference; the humidity change rate difference is the absolute value of the difference between the humidity change rate and the preset minimum humidity change rate threshold; determine whether the gas concentration is within the preset gas concentration safety threshold and whether the humidity is reduced to the safety humidity threshold based on the real-time gas concentration data; if the humidity is reduced to the safety threshold and the gas concentration is within the safety range, stop the operation of the heating device.

[0017] In the above embodiment, by dynamically adjusting the heating intensity according to the real-time feedback of the humidity change rate, the humidity reduction efficiency can be effectively improved, and through the dual monitoring of gas concentration and humidity, it is ensured that the intervention is terminated in time after the safety conditions are met to avoid excessive heating or waste of resources, thereby achieving efficient dehumidification and precise control of the equipment operating environment, and ensuring the safety and stability of the equipment.

[0018] In combination with some embodiments of the first aspect, in some embodiments, when the leakage insulation resistance value of the insulation resistor is lower than the insulation resistance value safety threshold, the leakage area is electromagnetically isolated, and the power load is no longer distributed to the energy storage unit in the leakage area, it also includes:

[0019] In the case of multiple leakage areas, the abnormal gas concentration data of the multiple leakage areas are obtained, and the leakage diffusion path of the leaked gas is calculated in combination with the layout information of the box-type energy storage substation; in the case where the leakage diffusion path contains a high-voltage electrical overlap area, the power supply of the high-voltage electrical equipment in the high-voltage electrical overlap area is cut off and electromagnetic shielding is performed; the high-voltage electrical overlap area is the overlap area between the leakage diffusion path and the area where the preset high-voltage electrical equipment is located.

[0020] In the above embodiment, by predicting the diffusion path of the leaked gas and effectively identifying the high-risk overlapping areas, and by taking power-off and shielding measures in advance, gas leakage can be avoided to cause short circuit of electrical equipment, degradation of insulation performance or other safety accidents, thereby achieving accurate protection of the high-voltage equipment of the energy storage system and improving the overall safety and operational reliability of the substation.

[0021] In combination with some embodiments of the first aspect, in some embodiments, after collecting real-time leakage humidity data and real-time gas concentration data of the leakage area at a preset environmental data collection frequency, the method further includes:

[0022] After receiving the real-time gas concentration data, store it in the preset real-time gas concentration data group; in the case that the real-time gas concentration data group does not receive data according to the preset environmental data acquisition frequency, obtain the gas concentration data of the adjacent area of the leakage; the gas concentration data of the adjacent area of the leakage is the gas concentration data of all areas adjacent to the leakage area; combine the gas concentration data of the adjacent area of the leakage and the leakage gas diffusion model to obtain the predicted gas concentration data; the leakage gas diffusion model is pre-trained by using a machine learning model on multiple groups of adjacent area gas concentration models and the corresponding area gas concentration models; store the predicted gas concentration data in the real-time gas concentration data group.

[0023] In the above embodiment, by using the machine learning model to combine the gas concentration change law of the adjacent area, it is possible to quickly and accurately infer the gas concentration of the leakage area when the data is missing, avoid the missing of key data caused by the monitoring blind area or the acquisition delay, and thus ensure the continuity and reliability of the gas leakage detection. It improves the data integrity and the real-time response ability of the system, provides accurate basic data support for the subsequent leakage risk judgment and emergency measures, and finally improves the safety management level of the energy storage substation.

[0024] Combined with some embodiments of the first aspect, in some embodiments, after applying a preset current of a preset magnitude to the electrical contact component at a preset insulation performance detection frequency and detecting the insulation performance value of the electrical contact component, it further includes:

[0025] Collect the real-time leakage temperature data of the leakage area at a preset environmental data acquisition frequency; judge whether the environmental conditions exceed the preset environmental operation range according to the real-time leakage temperature data and the real-time leakage humidity data; the preset environmental operation range includes a preset temperature operation range and a preset humidity operation range; if the environmental conditions exceed the preset operation range, extend the preset insulation performance detection frequency by a preset frequency multiple.

[0026] In the above embodiment, when the temperature and humidity environment exceeds the safe operation range, the insulation performance of the equipment may deteriorate rapidly. By increasing the insulation performance detection frequency, the potential risk of the insulation performance decline can be found in time, and corresponding intervention measures can be taken to avoid electrical failures caused by insulation failure. This strategy of dynamically adjusting the detection frequency based on environmental conditions not only improves the pertinence and timeliness of the detection, but also significantly improves the safety and reliability of the equipment operation, and effectively avoids the impact of sudden failures on the system operation.

[0027] Second aspect, an embodiment of the present application provides an operating control system for a containerized energy storage substation. The operating control system for the containerized energy storage substation includes: one or more processors and a memory; the memory is coupled to the one or more processors, and the memory is used to store computer program code. The computer program code includes computer instructions, and the one or more processors call the computer instructions to cause the operating control system for the containerized energy storage substation to execute the method described in the first aspect and any possible implementation manner in the first aspect.

[0028] Third aspect, an embodiment of the present application provides a computer program product containing instructions. When the computer program product runs on the operating control system for the containerized energy storage substation, it causes the operating control system for the containerized energy storage substation to execute the method described in the first aspect and any possible implementation manner in the first aspect.

[0029] Fourth aspect, an embodiment of the present application provides a computer-readable storage medium including instructions. When the instructions run on the operating control system for the containerized energy storage substation, it causes the operating control system for the containerized energy storage substation to execute the method described in the first aspect and any possible implementation manner in the first aspect.

[0030] It can be understood that the operating control system for the containerized energy storage substation provided in the second aspect, the computer program product provided in the third aspect, and the computer storage medium provided in the fourth aspect are all used to execute the operating control method for the containerized energy storage substation provided in the embodiments of the present application. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method, and will not be elaborated here.

[0031] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0032] 1. Through multiple monitoring and judgment, the present application can effectively identify and control the safety risks caused by gas leakage, perform isolation protection when the insulation performance deteriorates, and spray inert gas when a chemical reaction may occur to ensure the safe operation of the energy storage unit; at the same time, through dynamic detection and recovery operations, it ensures that the system function can be quickly restored after the problem is solved, taking into account both safety and operation efficiency. It can not only judge the gas leakage risk, but also combine with the dynamic monitoring of insulation performance to achieve the coordinated prevention and control of gas leakage and electrical faults, significantly improving the safety of the fault area after the insulation performance deteriorates due to gas leakage.

[0033] 2. This application combines the leakage humidity data, temperature data, abnormal gas concentration data, and gas influence coefficient through a formula to calculate the condensation risk value, and uses the difference between the dew point temperature and the current ambient temperature as the core to judge the condensation risk. When the condensation risk value exceeds the preset safety threshold, intervention measures such as heating are taken. This formula comprehensively considers the effects of environmental humidity, temperature, and the chemical properties of abnormal gases on condensation formation, can accurately evaluate the condensation risk, ensure timely intervention before the risk reaches the critical state, and thus effectively prevent the threat of condensation to the insulation performance and operation safety of equipment.

[0034] 3. This application predicts the diffusion path of the leaked gas, effectively identifies high-risk overlapping areas, and avoids electrical equipment short circuits, insulation performance degradation, or other safety accidents caused by gas leakage through early power-off and shielding measures, thereby achieving precise protection of high-voltage equipment in the energy storage system and improving the overall safety and operation reliability of the substation. Brief Description of the Drawings

[0035] Figure 1 It is a flowchart of the operation control method of the containerized energy storage substation in an embodiment of this application;

[0036] Figure 2 It is another flowchart of the operation control method of the containerized energy storage substation in an embodiment of this application;

[0037] Figure 3 It is an exemplary hardware structure diagram of the operation control system of the containerized energy storage substation in an embodiment of this application. Detailed Description of the Embodiment

[0038] The terms used in the following embodiments of this application are only for the purpose of describing specific embodiments and are not intended to limit this application. As used in the specification and appended claims of this application, the singular forms "a", "an", "", "above", "the", and "this" are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in this application refers to and includes any or all possible combinations of one or more of the listed items.

[0039] Hereinafter, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as implying or suggesting relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the embodiments of this application, unless otherwise stated, the meaning of "a plurality" is two or more.

[0040] In the related art, in the face of possible gas leakage in a containerized energy storage substation, gas concentration monitoring is usually used to determine whether there is a leakage phenomenon, and simple alarm or power load cut-off measures are taken. However, this processing method cannot distinguish the specific impacts of gas equipment and the environment, and also lacks the ability to judge the risks of potential dangerous situations that may be caused by the leaked gas. In addition, when dealing with the decline in insulation performance caused by gas leakage, the related art lacks effective isolation and monitoring means, resulting in potential safety problems in the faulty area during the operation of the containerized energy storage substation.

[0041] In the embodiment of the present application, a method for operating and controlling a containerized energy storage substation is proposed. By monitoring the concentrations of hydrogen, carbon dioxide and trace electrolyte volatiles, and combining the leakage time and concentration data, it is evaluated whether the gas leakage meets the conditions for triggering a chemical reaction, and inert gas is sprayed when necessary to reduce the risk. At the same time, the insulation performance value of the electrical contact components is detected. When the insulation resistance is lower than the safety threshold, electromagnetic isolation is immediately implemented, and the power load is gradually restored after ensuring safety. Compared with the related art, the solution of the present application can not only judge the gas leakage risk, but also combine dynamic insulation performance monitoring to achieve the collaborative prevention and control of gas leakage and electrical faults, significantly improving the safety of the faulty area after the insulation performance decreases due to gas leakage.

[0042] Figure 1 FIG. is a schematic flowchart of using the method for operating and controlling a containerized energy storage substation in the embodiment of the present application, including the following steps:

[0043] S101. Collect the gas concentration data inside the containerized energy storage substation;

[0044] Specifically, the gases in the gas concentration data include hydrogen, carbon dioxide and trace electrolyte volatiles.

[0045] There are various gases inside the containerized energy storage substation, including hydrogen, carbon dioxide and electrolyte volatiles (such as volatile organic compounds VOC), etc. In order to collect the concentration data of these gases, appropriate gas sensors need to be selected. These sensors need to be arranged in key areas of the substation, such as near energy storage battery modules, ventilation openings and contact components where leakage may occur, so as to accurately collect gas concentration data.

[0046] In a high humidity or high temperature environment, the sensors may be interfered, so special measures need to be taken. In humid areas, when the detected humidity is higher than the preset detection humidity threshold, an NDIR sensor with strong moisture resistance can be used to detect the carbon dioxide concentration, or a drying filter can be added in front of the sensor to remove moisture. In addition, in order to monitor trace electrolyte volatiles, a high-sensitivity PID sensor can be used, and the gas is centrally collected into the sensing cavity through a sampling pump to improve the detection effect.

[0047] S102. Compare the gas concentration data with the preset gas concentration safety threshold to determine whether there is a gas leakage phenomenon;

[0048] If so, execute the following step S103;

[0049] If not, return to execute the above step S101;

[0050] Specifically, the gas leakage phenomenon is that there is abnormal gas concentration data exceeding the safety threshold in the detected gas concentration data. If there is a gas leakage phenomenon, execute the following step S103 to further process the gas leakage phenomenon; if there is no gas leakage phenomenon, return to execute the above step S101 to continue collecting data.

[0051] The sensor will collect the gas concentration data in real time and output these data in the form of electrical signals. Through the analog-to-digital converter (ADC), the electrical signals are converted into digital signals, transmitted to the data processing module, and finally uploaded to the control center. The collected gas concentration data is compared with the preset gas concentration safety threshold, and the preset gas concentration safety threshold is a fixed value set according to the lower explosion limit, toxicity range of the relevant gas, and equipment safety requirements. The analysis of the data is completed through algorithms, usually including anomaly detection algorithms (such as threshold judgment algorithms) and trend analysis algorithms. When the gas concentration data exceeds the threshold, the system will record the time, location, and concentration value of the leakage occurrence.

[0052] S103. Record the leakage area, leakage time, and abnormal gas concentration data corresponding to the gas leakage phenomenon, and detect the insulation resistance of the electrical contact components of the box-type energy storage substation;

[0053] Specifically, record the leakage time corresponding to the gas leakage phenomenon through the timestamp function; the monitoring system integrates the data of multiple sensors to form a leakage concentration distribution map, locates the leakage source, records the leakage area, and records the data collected by the gas concentration sensor as abnormal gas concentration data. The detection of the insulation resistance is completed through an insulation tester (such as a megohmmeter). The tester applies a DC voltage (generally between 500V and 1000V) to the electrical contact component and measures the leakage current passing through the insulation layer to calculate the insulation resistance value.

[0054] In a high-humidity environment, the condensed water may act together with the leaked gas to further reduce the insulation performance. At this time, it is necessary to combine the humidity sensor data to record the interaction between the humidity change and the gas leakage.

[0055] S104. Based on the abnormal gas concentration data and leakage time in the leakage area, determine whether the leaked gas meets the conditions for triggering a chemical reaction;

[0056] If so, execute the following step S105;

[0057] If not, execute the following step S106;

[0058] Specifically, first, the gas sensor continuously collects the gas concentration data in the leakage area and records the time when the leakage occurs. The concentration data and time are combined to form a concentration change trend. According to the type of leaked gas (such as hydrogen, carbon dioxide or electrolyte volatiles), its chemical properties are queried, including flammability, reactivity and toxicity, etc., and the gas concentration is compared with the critical conditions of chemical reactions (such as lower explosive limit, combustion limit or activation energy requirement) to determine whether a chemical reaction is likely to occur.

[0059] Meanwhile, according to the length of the leakage time, the diffusion range and cumulative concentration of the gas in the environment are evaluated. If the leakage duration is long or the concentration continues to rise, the danger will further increase. In addition, combined with environmental parameters (such as temperature, humidity and oxygen concentration) for comprehensive analysis to determine whether the external conditions for triggering the reaction are met. For example, some reactions require a high-temperature or high-humidity environment to occur, and these conditions are verified through sensor data. Finally, a risk assessment report is generated based on concentration, time and environmental factors to determine whether the conditions for triggering a chemical reaction are met. If possible, execute the following step S105 to trigger corresponding safety measures (such as alarm, spraying inert gas or starting the exhaust device); if not, execute the following step S106 to continue to handle the gas leakage phenomenon. This method ensures that the chemical reaction risk of the leaked gas can be quickly identified and timely processed, providing guarantee for the safe operation of the equipment.

[0060] S105. Spray the preset inert gas into the leakage area;

[0061] Specifically, when the gas sensor detects that the gas concentration in the leakage area reaches the dangerous critical value (such as the lower explosive limit) and determines that a chemical reaction is likely to occur, the spraying device will be triggered. Inert gases (such as nitrogen, carbon dioxide or helium) are quickly transported to the leakage area through high-pressure storage tanks and pipeline networks. The nozzles usually adopt a multi-point distribution design to ensure that the inert gas can quickly fill the leakage area. The inert gas reduces the risk in two ways: one is to dilute the concentration of the leaked gas to make it lower than the lower explosive limit (LEL); the other is to displace oxygen and reduce the oxygen concentration to a non-combustible level (usually lower than 12%).

[0062] In some embodiments of the present application, battery thermal runaway may cause the electrolyte to decompose or burn, releasing flammable gases and corrosive gases. Such leakage is not only rapid but may also be accompanied by high temperature and flames, further exacerbating the safety risks. When the concentration of flammable gases is detected to increase rapidly and the temperature sensor detects abnormal temperature rise, the system immediately determines that it is a leakage caused by thermal runaway and quickly triggers the spraying system. Carbon dioxide is preferentially sprayed to absorb heat and reduce the temperature, while nitrogen is sprayed to reduce the oxygen concentration and inhibit the combustion reaction.

[0063] S106. In the case of multiple leakage areas, obtain the abnormal gas concentration data of the multiple leakage areas, and combine the layout information of the box-type energy storage substation to calculate the leakage diffusion path of the leaked gas;

[0064] Specifically, first, the system collects the abnormal gas concentration data in real time through the sensors deployed in the leakage areas. These data record the gas concentration values and their change trends at each leakage point. The layout information includes the physical space structure of the substation (such as area division, equipment location distribution, channels and connection relationships), the operating parameters of the ventilation system (such as wind speed, wind direction, ventilation opening locations), and the distribution of obstacles (such as walls, equipment cabinets). The layout information is used to determine the possible paths and influencing factors of gas diffusion. For example, the space structure determines the activity range of the gas, the ventilation system affects the diffusion direction and speed of the gas, and the obstacles may block the gas diffusion or change its path.

[0065] The diffusion of gas is mainly driven by the concentration gradient, and the gas in the high-concentration area will diffuse to the low-concentration area. By sorting the concentration data of the leakage points, the concentration gradient can be calculated and the main direction of diffusion can be determined. At the same time, the convective effect of the ventilation system will have a significant impact on gas diffusion, and the system adjusts the calculation of the diffusion path according to the wind speed and wind direction. In addition, the physical properties of the gas (such as density) also affect the diffusion behavior. Light gases tend to diffuse upward, while heavy gases tend to settle downward.

[0066] The calculation of the gas diffusion path is based on the concentration gradient, space partitioning, and dynamic adjustment mechanism. First, the system determines the initial concentration distribution according to the concentration data of the leakage points, then divides the space area in combination with the layout information of the substation, and analyzes the possibility of gas diffusion. Then, the diffusion formula (such as Fick's law) is used to calculate the concentration change, and the diffusion path is adjusted according to the operating state of the ventilation system or the physical properties of the gas. The system will dynamically update the calculation results to ensure that the diffusion trend can be accurately predicted in the complex scenario of multi-point leakage.

[0067] Finally, the system generates a dynamic simulation result of the leakage gas diffusion, including a three-dimensional diffusion path or a concentration distribution map, indicating the specific path and range of the gas from the leakage point to the diffusion area.

[0068] S107. When the leakage diffusion path includes a high-voltage electrical overlapping area, cut off the power supply of the high-voltage electrical equipment in the high-voltage electrical overlapping area and perform electromagnetic shielding;

[0069] Specifically, when the leakage diffusion path includes a high-voltage electrical overlapping area, to avoid the leakage gas from having an arc, spark or other dangerous reactions with high-voltage equipment, the system needs to cut off the power supply of the high-voltage electrical equipment in this area and implement electromagnetic shielding. First, calculate the diffusion path of the leakage gas through the sensor network and the diffusion model, and compare it with the preset equipment layout information of the energy storage substation to determine the overlapping area between the leakage diffusion path and the area where the high-voltage electrical equipment is located (i.e., the high-voltage electrical overlapping area). This area is where the leakage gas may diffuse to and have dangerous interactions with high-voltage equipment, and protection measures need to be taken preferentially.

[0070] After the high-voltage electrical overlapping area is identified, the system immediately triggers the circuit breaker or switch device to quickly cut off the high-voltage power supply in the area, preventing the leakage gas from causing an arc or spark, thereby reducing the risks of fire and explosion. At the same time, the system activates the electromagnetic shielding device, and isolates the electromagnetic field generated by the equipment through the metal shielding layer, conductive grid or dynamic shielding mechanism arranged around the high-voltage equipment, avoiding dangerous reactions between the residual electric field or charge and the leakage gas. In addition, electromagnetic shielding can also prevent further damage to the equipment caused by external electromagnetic interference. During this process, the system continuously monitors the diffusion path of the leakage gas and dynamically adjusts the shielding range and power-off area to ensure the safety of equipment and personnel throughout the leakage process.

[0071] S108. When the leakage insulation resistance value of the insulation resistance is lower than the insulation resistance value safety threshold, perform electromagnetic isolation on the leakage area and no longer allocate power loads to the energy storage unit in the leakage area;

[0072] Specifically, when the insulation resistance value is lower than the safety threshold, it indicates that the insulation performance of the electrical equipment in the leakage area has deteriorated, which may lead to risks such as electric leakage, short circuit or arc discharge. To avoid these risks and ensure the safety of the system, the system needs to perform electromagnetic isolation on the leakage area and stop allocating power loads to the energy storage unit in this area.

[0073] The insulation monitoring module in the energy storage system continuously detects the insulation resistance value of each energy storage unit. When the insulation resistance value of a certain energy storage unit is lower than the preset safety threshold (such as 1 MΩ), the system will determine that there is a risk of deteriorated insulation performance.

[0074] Electromagnetic isolation physically isolates the leakage area from the rest of the electrical system through a disconnect switch or circuit breaker. Meanwhile, a shielding device is activated around the leakage area to prevent the residual electromagnetic fields in the equipment from coupling to the outside. The shielding device is usually composed of conductive materials (such as copper mesh or metal plates), which closes the magnetic and electric fields to ensure that the abnormal electromagnetic activities within the leakage area do not affect other equipment.

[0075] While implementing electromagnetic isolation, the system stops distributing power loads to the energy storage unit in the leakage area through the power distribution control module. The load switching can be completed through a bypass circuit or a backup energy storage unit to ensure the stability of the overall power supply of the system. The purpose of stopping the load distribution is to reduce the electrical pressure in the leakage area and avoid further electrical faults caused by the degradation of insulation performance.

[0076] In the above steps S107 and S108, the step-by-step strategy of first cutting off the circuit and implementing electromagnetic isolation for the overlapping part between the leakage diffusion path and the area where the high-voltage electrical equipment is located, and then judging whether electromagnetic isolation needs to be implemented for all leakage areas according to the insulation resistance value, can quickly isolate the high-risk area, avoid dangerous situations such as sparks, arcs or short circuits caused by the contact between the leaked gas and the high-voltage equipment, thus effectively curbing the expansion of the accident. At the same time, by giving priority to dealing with the overlapping area and only taking cutting measures for the part that poses a direct threat, over-isolation of the entire system is avoided, the partial operating ability of the system is guaranteed, the power supply interruption range is reduced, and the operating efficiency is improved. Then, through the dynamic monitoring of the insulation resistance value, comprehensive isolation of all leakage areas is only implemented when the insulation performance drops below the safety threshold, so as to achieve an efficient process of hierarchical response and gradual investigation, and further reduce the risk of equipment damage and accident expansion.

[0077] S109: Apply a preset current of a preset magnitude to the electrical contact component at a preset insulation performance detection frequency, and detect the insulation performance value of the electrical contact component;

[0078] Specifically, apply a preset current to the component at a preset detection frequency and measure its insulation performance value to evaluate the operating state and insulation condition of the component. First, according to the working voltage level and design requirements of the electrical contact component, set an appropriate current value, and apply the current through a dedicated device (such as an insulation tester) to ensure that the current magnitude can accurately reflect the insulation performance and will not damage the component. Subsequently, detect the insulation resistance value of the component, calculate the insulation resistance according to Ohm's law by measuring the voltage drop generated by the applied current. The higher the insulation resistance value, the better the insulation performance; if the resistance value is low, there may be leakage current or insulation aging problems.

[0079] The breakdown voltage is detected by gradually increasing the applied voltage until the insulating material is broken down, recording the critical voltage value at this time, and evaluating the voltage withstand capacity of the component. At the same time, the dielectric loss factor (tanδ) is measured, and the ratio of the active component to the reactive component of the current is detected under an alternating voltage to reflect the energy loss of the insulating material. The larger the loss factor, the more likely it indicates that the insulating material may be aged or defective. In addition, the system monitors the partial discharge characteristics of the component, and uses special equipment to detect parameters such as the discharge amplitude, frequency, and inception voltage to evaluate the defects or abnormalities in local areas of the insulation system.

[0080] S110. If the insulation performance is within the preset safe insulation performance range, the power load distribution in the leakage area is restored.

[0081] Specifically, first, the system dynamically monitors the insulation performance values (such as insulation resistance value, breakdown voltage, dielectric loss factor, etc.) in the leakage area through an insulation monitoring device. If all indicators meet the safety standards, for example, the insulation resistance value is restored to be higher than the safety threshold, the breakdown voltage reaches the design requirements, and the dielectric loss factor and partial discharge characteristics are normal, the system determines that the insulation performance has returned to normal.

[0082] After all safety conditions are met, the system restores the power distribution by gradually restoring the load. First, the equipment is started to operate with a lower load, and the load is gradually increased to the rated level in stages to verify the operation stability of the equipment after power supply restoration. During this process, the system continues to monitor the insulation performance and operation status of the equipment in real time. If abnormal conditions occur again, such as a decrease in insulation performance or unstable load operation, the system will immediately cut off the power distribution in this area and re-isolate it to ensure overall safety.

[0083] In the above embodiment, by comparing the gas concentration data in the box-type energy storage substation with the preset safety threshold, it is judged whether there is gas leakage, and according to the abnormal concentration data and leakage time, it is evaluated whether the leaked gas meets the conditions for triggering a chemical reaction. When necessary, an inert gas is sprayed to inhibit the risk of chemical reaction. At the same time, the insulation performance values of the electrical contact components in the leakage area are detected. If the leakage causes the insulation resistance value to be lower than the safety threshold, electromagnetic isolation is implemented on the leakage area, and the power load distribution is cut off to prevent short circuits or fire accidents caused by the decrease in insulation performance. Subsequently, the insulation performance is dynamically detected at a preset frequency, and after confirming that it has returned to the safe range, the power load is gradually restored. It can realize the full-process management from gas leakage detection to electrical insulation performance monitoring and restoration, effectively prevent chemical reactions or electrical failures caused by leaked gas, and improve the safety of the fault area after the insulation performance decreases due to gas leakage during the operation of the box-type energy storage substation.

[0084] In some other embodiments of the present application, in the case of gas leakage, condensation may occur. The condensation may cause gas to accumulate on the surface of the equipment, increasing the risk of degradation of the insulation performance of the electrical equipment. At the same time, it may exacerbate corrosion or trigger chemical reactions. By using the operation control method of the box-type energy storage substation provided in the present application, the occurrence of condensation can be effectively monitored and prevented, thereby improving the safety of the fault area after the insulation performance degradation caused by gas leakage during the operation of the box-type energy storage substation.

[0085] As Figure 2 shown, it is another flowchart of the operation control method of the box-type energy storage substation provided by the embodiment of the present application, including the following steps:

[0086] S201. Collect the gas concentration data inside the box-type energy storage substation;

[0087] S202. Compare the gas concentration data with the preset gas concentration safety threshold to determine whether there is a gas leakage phenomenon;

[0088] If so, execute the following step S203;

[0089] If not, return to execute the above step S201;

[0090] S203. Record the leakage area, leakage time and abnormal gas concentration data corresponding to the gas leakage phenomenon, and detect the insulation resistance of the electrical contact components of the box-type energy storage substation;

[0091] S204. Collect the leakage humidity data and leakage temperature data of the leakage area;

[0092] Specifically, it is completed by the humidity and temperature sensors installed in the leakage area. First, the humidity sensor detects the water vapor content in the air and converts it into corresponding humidity data, which is often expressed in the form of relative humidity (%RH); at the same time, the temperature sensor monitors the ambient temperature of the leakage area and outputs the temperature data in the form of a digital signal.

[0093] S205. Use the leakage humidity data, leakage temperature data and abnormal gas concentration data to calculate the condensation risk value in the leakage area;

[0094] Specifically, during the gas leakage detection process, in order to evaluate whether there is a condensation risk in the leakage area, it is necessary to combine the leakage humidity data, leakage temperature data and abnormal gas concentration data to calculate the condensation risk value. The calculation of the condensation risk value is based on the comparative analysis of the dew point temperature and the current environmental conditions.

[0095] First, based on the humidity data (relative humidity) and temperature data of the leakage area, the dew point temperature of this area is calculated using thermodynamic formulas. The dew point temperature refers to the temperature at which water vapor in the air begins to condense into liquid water under the current humidity conditions. Secondly, according to the abnormal gas concentration data in the leakage area, the influence of gas components on the condensation conditions is analyzed. The data in the leakage area is substituted into the set calculation formula for the condensation risk value to calculate the condensation risk value.

[0096] In some embodiments of the present application, the leakage humidity data, leakage temperature data, abnormal gas concentration data, and the first formula are used to calculate the condensation risk value in the leakage area. Among them, the first formula is: ; where is the condensation risk value, is the leakage humidity data, is the dew point temperature, is the leakage temperature data, is the abnormal gas concentration data, is the gas influence coefficient, which is preset based on the chemical properties of the gas.

[0097] For the above first formula, by comprehensively analyzing the humidity data, temperature data, and abnormal gas concentration data of the leakage area, the possibility of condensation occurring in the area is calculated, which is used to evaluate the condensation possibility caused by comprehensive factors such as humidity, dew point temperature, environmental temperature, and abnormal gas concentration in a specific environment. The occurrence of condensation may lead to equipment damage, corrosion, or other adverse consequences. Therefore, accurately quantifying the condensation risk is very important. The formula quantifies the condensation risk by combining multiple parameters and interaction relationships, so as to better guide risk management and preventive measures in actual scenarios.

[0098] Specifically, the first formula systematically evaluates the condensation risk through multiple parts:

[0099] The first part provides the basic influence of humidity and temperature. This part combines the leakage humidity data , dew point temperature and leakage temperature data . Humidity is one of the core driving factors of the condensation risk, directly affecting the content of water vapor in the air. The dew point temperature indicates the temperature at which water vapor in the air begins to condense. By introducing , the formula captures the difference between the dew point temperature and the current environmental temperature, reflecting the influence of humidity under conditions close to condensation. For example, when is close to When this occurs, the risk of condensation increases significantly. This term provides the basic relationship between humidity and temperature for the formula to capture the direct impact of humidity on condensation under different temperature conditions.

[0100] The second part introduces the special effect of abnormal gases on the condensation risk, where is the concentration of abnormal gases, expressed as a volume percentage, and is the gas influence coefficient, used to characterize the contribution of different gases to the condensation risk. The presence of abnormal gases (such as sulfur dioxide, ammonia, etc.) may change the condensation behavior of air through chemical reactions or physical properties. For example, certain gases can lower the condensation point or increase corrosion. By multiplying by the preset gas influence coefficient , the formula can flexibly adapt to the characteristics of different gases. This term takes into account the influence of gases, making the formula applicable not only to ordinary humidity condensation scenarios but also to complex industrial environments or chemical reaction environments.

[0101] The third part enhances the non - linear sensitivity to the interaction relationship of multiple parameters. This part introduces non - linear characteristics through the natural logarithm function ln, and at the same time combines the interaction of humidity , gas concentration and ambient temperature . The introduction of the natural logarithm ln enhances the sensitivity to the condensation risk under extreme conditions (such as high humidity or high gas concentration). When the humidity and gas concentration are low, the growth of ln is slow, indicating a low condensation risk; while when the humidity and gas concentration are high, the growth of ln accelerates, reflecting a significant increase in the condensation risk. In addition, the denominator plays a balancing role. The higher the ambient temperature, the lower the condensation risk. This part captures the complex interaction effects between key parameters, making up for the deficiency that traditional linear formulas may underestimate the condensation risk under extreme conditions.

[0102] For this first formula, it has an intuitive physical meaning (the relationship between humidity and temperature), and combines gas and non - linear characteristics, making it applicable to a variety of complex scenarios. In this way, the first formula can more accurately reflect the dynamic changes of the condensation risk in the real environment, providing a scientific basis for preventive measures.

[0103] S206. If the condensation risk value exceeds the preset condensation risk safety threshold, start the heating device to heat the leakage area;

[0104] Specifically, when it is detected that the condensation risk value exceeds the preset condensation risk safety threshold, the heating device is activated to heat the leakage area. By increasing the ambient temperature of the leakage area, the relative influence of humidity and dew point temperature is reduced, thereby reducing the occurrence probability of condensation. According to the condensation risk formula, the ambient temperature is a denominator variable and is negatively correlated with the risk value. By heating the environment and increasing the temperature, the condensation risk value can be effectively reduced, weakening the formation of condensation conditions both mathematically and physically.

[0105] In the above steps S204 - S206, the prediction and real - time response to the condensation risk can effectively prevent condensation problems caused by changes in environmental humidity and temperature. Through accurate data analysis and dynamic heating control, not only the response efficiency to the condensation risk is improved, but also the safety and stability of the electrical equipment inside the box - type energy storage substation are guaranteed, the service life of the equipment is extended, and potential failures and economic losses are avoided.

[0106] S207: Collect the real - time leakage humidity data and real - time gas concentration data of the leakage area at a preset ambient data collection frequency;

[0107] Specifically, humidity data is usually collected using a humidity sensor (such as a capacitive or optical humidity sensor), and its principle is to calculate the relative humidity value by measuring the water vapor content in the air; gas concentration data is collected using a gas sensor (such as an infrared absorption sensor, an electrochemical gas sensor, or a semiconductor gas sensor), and the gas concentration is determined by measuring the physical or chemical property changes of gas molecules. The real - time leakage humidity data and real - time gas concentration data of the leakage area are periodically captured and recorded at a preset sampling frequency (such as collecting data once per second) to ensure real - time monitoring and dynamic response.

[0108] In some embodiments of the present application, after receiving the real - time gas concentration data, the real - time gas concentration data is stored in a preset real - time gas concentration data group, and this real - time gas concentration data group also receives data according to the preset ambient data collection frequency. When the real - time gas concentration data group fails to receive data according to the preset ambient data collection frequency, it may be the case that the gas concentration data collection sensor is affected by the corrosive gas in the leakage gas, resulting in the inability to collect data normally.

[0109] The system will then obtain the gas concentration data of the adjacent areas of the leakage area as supplementary and indirect judgment bases. The adjacent areas of the leakage refer to the areas that have a physical connection or geographical adjacency relationship with the leakage area, and the gas concentration data thereof can reflect the diffusion trend or leakage state of the leakage area. Specifically, when the system detects that the sensors in the leakage area do not upload data according to the preset frequency, it triggers the adjacent area data compensation mechanism. The system locates all the detection points directly adjacent to the leakage area according to the predefined area mapping relationship. It calls the real-time data or historical data of the nearest time of the sensors in the adjacent areas to obtain the gas concentration data of these areas. It inputs the data of the adjacent areas into the preset leakage gas diffusion model to infer the concentration change or leakage diffusion trend of the leakage area and obtains the predicted gas concentration data.

[0110] Finally, the obtained predicted gas concentration data is stored in the real-time gas concentration data group to complete the supplementation of the missing data in the real-time gas concentration data group.

[0111] In the above embodiments, by introducing the gas concentration data of the adjacent areas and making inferences with the help of the diffusion model, it is possible to effectively make up for the monitoring blind area in the case of missing original sensor data and ensure the integrity and continuity of the real-time gas concentration data group. This method not only improves the system's perception ability of the dynamic changes of gas leakage, but also ensures the reliability and accuracy of the data in harsh environments, thereby providing accurate basic data support for subsequent leakage risk assessment and emergency treatment.

[0112] S208. Calculate the humidity change rate according to the real-time leakage humidity data;

[0113] Specifically, the calculation of the humidity change rate is completed by analyzing the rate of change of the humidity data collected in real time over time, and its purpose is to measure the growth or decline rate of humidity within a certain time period and reflect the dynamic changes of the environmental humidity. The calculation formula is: , where P is the humidity change rate, and are the humidity values at time and time respectively, is the sampling time interval. By calculating the humidity increment between adjacent time points and dividing it by the time interval , the humidity change rate can be obtained. The system obtains real-time data from the humidity sensor according to the set sampling frequency (such as once per second) to ensure the dynamic update of the change rate.

[0114] S209. When the humidity change rate is lower than the preset minimum humidity change rate threshold, increase the heating temperature of the heating device according to the humidity change rate difference;

[0115] Specifically, when the monitored humidity change rate is lower than the preset minimum humidity change rate threshold, the system will increase the heating temperature of the heating device according to the humidity change rate difference (i.e., the absolute difference between the humidity change rate and the minimum threshold) to promote the increase of the humidity change rate and avoid the increase of the condensation risk caused by too low humidity in the air.

[0116] First, compare the humidity change rate calculated in real time with the preset minimum humidity change rate threshold. If the humidity change rate is lower than the preset minimum humidity change rate threshold, calculate the difference between the humidity change rate and the preset minimum humidity change rate threshold, and take its absolute value as the humidity change rate difference.

[0117] Secondly, according to the humidity change rate difference, based on a preset linear or non-linear relationship, substitute the humidity change rate difference and the original temperature of the heating device to calculate the new heating temperature, and change the temperature of the heating device to the new heating temperature.

[0118] S210. Judge whether the gas concentration is within the preset gas concentration safety threshold range and whether the humidity has decreased to the safety humidity threshold according to the real-time gas concentration data;

[0119] If so, execute the following step S211;

[0120] If not, execute the above step S207;

[0121] Specifically, based on the real-time collected gas concentration data and humidity data, judge whether the leakage area meets the safety conditions. Specifically, it includes the following two judgment logics: one is whether the gas concentration is within the preset safety threshold range, and the other is whether the humidity has decreased below the safety humidity threshold. When both conditions that the gas concentration is within the preset safety threshold range and the humidity has decreased below the safety humidity threshold are met, the requirements of this step are satisfied, execute the following step S211, and stop the operation of the heating device; when either of the two conditions that the gas concentration is within the preset safety threshold range and the humidity has decreased below the safety humidity threshold cannot be met, execute the above step S207 to continue data collection.

[0122] S211. Stop the operation of the heating device;

[0123] Specifically, stopping the operation of the heating device is an operation performed based on the system's real-time monitoring and logical judgment of environmental data. Its purpose is to turn off the heating device to save energy and avoid overheating after meeting the environmental safety conditions or reaching the set goal.

[0124] In the above steps S207 - S211, dynamically regulating the heating temperature according to the real - time feedback of humidity changes can improve the efficiency of humidity reduction, prevent the continuous existence of condensation risk caused by insufficient heating or energy waste caused by over - heating. At the same time, through the dual monitoring of gas concentration and humidity, it is ensured that the heating device stops running only after the environment completely returns to the safe range, thus achieving precise environmental regulation. Finally, the operation safety and energy use efficiency of the energy storage substation are effectively guaranteed, and potential threats to equipment caused by condensation, corrosion and gas leakage are avoided.

[0125] S212. When the leakage insulation resistance value of the insulation resistance is lower than the safety threshold value of the insulation resistance, electromagnetic isolation is carried out on the leakage area, and at the same time, the power load is no longer allocated to the energy storage unit in the leakage area;

[0126] S213. Apply a preset current of a preset size to the electrical contact component at a preset insulation performance detection frequency, and detect the insulation performance value of the electrical contact component;

[0127] S214. Collect the real - time leakage temperature data of the leakage area at a preset environmental data collection frequency;

[0128] Specifically, collecting the real - time leakage temperature data of the leakage area is to deploy temperature sensors to periodically sample and record the temperature of the target area at a preset environmental data collection frequency.

[0129] S215. Judge whether the environmental conditions exceed the preset environmental operation range according to the real - time leakage temperature data and the real - time leakage humidity data;

[0130] If so, execute the above step S214;

[0131] If not, execute the following step S216;

[0132] Specifically, by monitoring the real - time temperature data and humidity data of the leakage area, the system judges whether the current environmental conditions exceed the preset operation range, compares the real - time data with the preset environmental operation range, and judges whether the safety operation requirements are met based on logical conditions. The temperature range and humidity range are preset in advance, and these values are determined by factors such as equipment operation requirements, gas characteristics and condensation risk. Logical judgment is made on the collected temperature and humidity data: if the real - time temperature data is within the temperature range and the real - time humidity data is within the humidity range, the environmental conditions are within the safe operation range, execute the above step S214, and continue to collect temperature; if the real - time temperature data is not within the temperature range or the real - time humidity data is not within the humidity range, the environmental conditions exceed the operation range, execute the following step S216, and extend the preset insulation performance detection frequency.

[0133] S216. Increase the preset insulation performance detection frequency by a preset frequency multiple;

[0134] Specifically, the preset insulation performance detection frequency is a preset basic detection frequency, that is, the conventional time interval for insulation performance detection. For example, it is detected once every 10 seconds. This frequency is determined by the equipment type, operating environment, and safety requirements.

[0135] When the environmental conditions exceed the preset environmental operating range, the preset insulation performance detection frequency is increased by a preset frequency multiplication factor, that is, the preset frequency multiplication factor is multiplied by the preset insulation performance detection frequency to obtain a new insulation performance detection frequency, and the insulation performance detection is continued with the new insulation performance detection frequency.

[0136] In the above steps S214 - S216, through the dynamic regulation strategy based on real-time environmental data, it can not only ensure timely detection of insulation performance during environmental anomalies to prevent potential risks, but also optimize the detection frequency after the environment recovers to improve the system operation efficiency and equipment service life, thereby realizing precise and intelligent management of insulation performance detection and enhancing the safety and economy of the energy storage substation.

[0137] S217. If the insulation performance is within the preset safe insulation performance range, the power load distribution in the leakage area is restored.

[0138] Steps S201 - S203, S212, S213, S217 are similar to Figure 1 Steps S101 - S103, S108 - S110 in the embodiment shown, and the descriptions in steps S101 - S103, S108 - S110 can be referred to. Details are not repeated here.

[0139] In the above embodiment, by real-time monitoring the internal gas concentration, temperature and humidity data, and electrical equipment insulation performance of the box-type energy storage substation, and combining multi-layer logic judgments such as gas concentration thresholds, condensation risk values, and insulation performance safety ranges, the operation strategies of the heating device and insulation performance detection are dynamically adjusted. When the gas leakage and condensation risks are relatively high, the heating device is started and the heating intensity is optimized according to the humidity change rate, and at the same time, the insulation performance is frequently detected; after the environmental conditions return to normal or the insulation performance meets the safety range, the heating device is stopped and the power load distribution is gradually restored. Through closed-loop control and multiple logic judgments, it can not only quickly respond to gas leakage and environmental anomalies, but also implement precise protection for the dynamic changes of insulation performance, avoiding risks such as condensation, insulation degradation, and electrical faults, thereby enhancing the safety, operation efficiency, and equipment life of the energy storage substation and ensuring the stable operation of the system in a complex environment.

[0140] Next, an exemplary box-type energy storage substation operation control system 300 provided by the embodiments of the present application is introduced. Figure 3It is a schematic diagram of the exemplary hardware structure of the box-type energy storage substation operation control system 300 provided by the embodiments of the present application.

[0141] In some embodiments, the box-type energy storage substation operation control system 300 is a computer device or the box-type energy storage substation operation control system 300 includes a computer device. The computer device includes a processor, a memory, and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data. The network interface of the computer device is used to communicate with other external terminals or servers through a network connection. In some embodiments, the network interface can be a wired network interface, and in some embodiments, the network interface can also be a wireless network interface. The computer program, when executed by the processor, implements the method in the embodiments of the present application.

[0142] Those skilled in the art can understand that Figure 3 the structure shown in

[0143] is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0144] As used in the above embodiments, depending on the context, the term "when..." can be interpreted as "if...", "after...", "in response to determining...", or "in response to detecting...". Similarly, depending on the context, the phrase "when determining..." or "if detecting (the stated condition or event)" can be interpreted as "if determining...", "in response to determining...", "when detecting (the stated condition or event)", or "in response to detecting (the stated condition or event)".

[0145] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (such as coaxial cable, optical fiber, digital subscriber line) or wireless (such as infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that includes one or more integrated available media. The available medium can be a magnetic medium (such as a floppy disk, hard disk, magnetic tape), an optical medium (such as a DVD), or a semiconductor medium (such as a solid-state drive), etc.

[0146] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware with a computer program. The program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the above method embodiments. The aforementioned storage medium includes: various media that can store program codes such as ROM or random access memory RAM, magnetic disks, or optical discs.

Claims

1. A method for operating and controlling a box-type energy storage substation, characterized in that, Including: Collecting the gas concentration data inside the containerized energy storage substation; the gases in the gas concentration data include hydrogen, carbon dioxide, and trace electrolyte volatiles; Comparing the gas concentration data with a preset gas concentration safety threshold to determine whether there is a gas leakage phenomenon; the gas leakage phenomenon means that abnormal gas concentration data exceeding the safety threshold is detected in the gas concentration data; If so, recording the leakage area, leakage time, and abnormal gas concentration data corresponding to the gas leakage phenomenon, and detecting the insulation resistance of the electrical contact components of the containerized energy storage substation; Collecting the leakage humidity data and leakage temperature data of the leakage area; Using the leakage humidity data, the leakage temperature data, the abnormal gas concentration data, and a first formula to calculate the condensation risk value in the leakage area; The first formula is as follows: ; wherein, is the condensation risk value, is the leakage humidity data, is the dew point temperature, is the leakage temperature data, is the abnormal gas concentration data, is the gas influence coefficient, preset in advance based on the gas chemical properties; If the condensation risk value exceeds a preset condensation risk safety threshold, starting a heating device to heat the leakage area; Based on the abnormal gas concentration data and the leakage time of the leakage area, determining whether the leaked gas meets the conditions for triggering a chemical reaction; If so, spraying a preset inert gas onto the leakage area; When the leakage insulation resistance value of the insulation resistance is lower than the insulation resistance value safety threshold, performing electromagnetic isolation on the leakage area and no longer allocating power loads to the energy storage units in the leakage area; Applying a preset current to the electrical contact components at a preset insulation performance detection frequency to detect the insulation performance value of the electrical contact components; the insulation performance value includes insulation resistance value, insulation breakdown voltage, dielectric loss factor, and partial discharge characteristics; If the insulation performance is within a preset safe insulation performance range, restoring the power load allocation of the leakage area.

2. The method according to claim 1, wherein After starting the heating device to heat the leakage area when the condensation risk value exceeds the preset condensation risk safety threshold, it further includes: Collecting the real-time leakage humidity data and real-time gas concentration data of the leakage area at a preset environmental data collection frequency; Calculating the humidity change rate according to the real-time leakage humidity data; When the humidity change rate is lower than a preset minimum humidity change rate threshold, increasing the heating temperature of the heating device according to the humidity change rate difference; the humidity change rate difference is the absolute value of the difference between the humidity change rate and the preset minimum humidity change rate threshold; Judging whether the gas concentration is within the preset gas concentration safety threshold range and whether the humidity has decreased to the safe humidity threshold according to the real-time gas concentration data; If the humidity has decreased to the safe threshold and the gas concentration is within the safe range, stopping the operation of the heating device.

3. The method according to claim 1, characterized in that, Before performing electromagnetic isolation on the leakage area and no longer allocating power loads to the energy storage units in the leakage area when the leakage insulation resistance value of the insulation resistance is lower than the insulation resistance value safety threshold, it further includes: In the case of multiple leakage areas, obtaining the abnormal gas concentration data of the multiple leakage areas, and combining the layout information of the containerized energy storage substation to calculate the leakage diffusion path of the leaked gas; When the leakage diffusion path includes a high-voltage electrical overlap area, the power supply to the high-voltage electrical equipment in the high-voltage electrical overlap area is cut off and electromagnetic shielding is performed; the high-voltage electrical overlap area is the overlap area between the leakage diffusion path and the area where the preset high-voltage electrical equipment is located.

4. The method according to claim 2, wherein After collecting the real-time leakage humidity data and the real-time gas concentration data of the leakage area at the preset environmental data collection frequency, the method further includes: After receiving the real-time gas concentration data, it is stored in a preset real-time gas concentration data group; When the real-time gas concentration data group does not receive data according to the preset environmental data collection frequency, obtaining gas concentration data of the leakage adjacent area; the gas concentration data of the leakage adjacent area is the gas concentration data of all areas adjacent to the leakage area; The predicted gas concentration data is obtained by combining the gas concentration data of the leakage adjacent area and the leakage gas diffusion model; the leakage gas diffusion model is obtained by pre-training multiple groups of adjacent area gas concentration models and corresponding regional gas concentration models using a machine learning model; The predicted gas concentration data is stored in the real-time gas concentration data group.

5. The method according to claim 1, characterized in that, After applying a current of a preset magnitude to the electrical contact component at a preset insulation performance detection frequency to detect the insulation performance value of the electrical contact component, the method further includes: Collecting real-time leakage temperature data of the leakage area at a preset environmental data collection frequency; Determine whether the environmental condition exceeds a preset environmental operating range according to the real-time leakage temperature data and the real-time leakage humidity data; the preset environmental operating range includes a preset temperature operating range and a preset humidity operating range; If the environmental conditions exceed the preset operating range, the preset insulation performance detection frequency is increased by a preset frequency extension multiple.

6. A box-type energy storage substation operation control system, characterized in that, The box-type energy storage substation operation control system 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 includes computer instructions, and the one or more processors call the computer instructions to enable the box-type energy storage substation operation control system to execute the method described in any one of claims 1-5.

7. A computer program product comprising instructions, characterized in that, When the computer program product runs on a box-type energy storage substation operation control system, the box-type energy storage substation operation control system executes the method according to any one of claims 1 to 5.

8. A computer-readable storage medium, comprising instructions, characterized in that, When the instruction is executed on the box-type energy storage substation operation control system, the box-type energy storage substation operation control system executes the method as described in any one of claims 1-5.

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