Box-type energy storage substation operation control method and system, product and medium

Abstract

The invention discloses a box-type energy storage substation operation control method and system, a product and a medium. The method comprises the following steps: collecting gas concentration data in the box-type energy storage substation, comparing the gas concentration data with a preset threshold value, and judging whether gas leakage exists or not; if yes, recording related data, and detecting an insulation resistance value of the electrical contact component; based on the gas concentration data and the leakage time of the leakage area, judging whether a chemical reaction triggering condition is met or not; if yes, inert gas is sprayed to the leakage area; if the insulation resistance value is lower than a safety threshold value, electromagnetic isolation is carried out on the leakage area, and distribution of the electric load to the related energy storage unit is stopped; then, current is applied to the electrical contact component at a preset frequency, and an insulating property value is detected; when the insulating property is restored to within the safe range, the electrical load is redistributed to the leakage region. By implementing the technical scheme, the safety of the fault area after the insulation performance is reduced due to gas leakage in the operation process of the box-type energy storage substation is improved.

Description

Technical Field

[0001] The present application relates to the field of electrical digital data processing, and in particular to a box-type energy storage substation operation control method, system, product and medium. Background Art

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

[0003] At present, intelligent monitoring methods based on sensor data collection and processing are usually used for the operation control of box-type energy storage substations. In case of gas leakage in box-type energy storage substations, gas concentration sensors are usually installed to monitor the internal gas concentration data in real time. When the gas concentration exceeds the 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 technologies, only relying on gas concentration detection alarms can easily cause non-fault areas to be shut down; the insulation performance detection method is relatively single, and it is difficult to fully judge the recovery of insulation performance. Therefore, when dealing with the degradation of insulation performance caused by gas leakage, the related technologies lack effective isolation and monitoring methods, resulting in safety problems in the fault area when gas leakage occurs during the operation of the box-type energy storage substation. Summary of the invention

[0005] The present application provides a box-type energy storage substation operation control method, system, product and medium for improving the safety of a fault area after insulation performance is degraded due to gas leakage during the operation of the box-type energy storage substation.

[0006] In a first aspect of the present application, a box-type energy storage substation operation control method is provided, the method comprising: Collect gas concentration data inside the box-type 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 to detect that there is abnormal gas concentration data in the gas concentration data exceeding the safety threshold; 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 parts of the box-type energy storage substation; based on the abnormal gas concentration data and leakage time in the leakage area, determine whether the leaked gas meets the conditions for inducing a chemical reaction; if so, spray a preset inert gas into the leakage area; when the leakage insulation resistance value of the insulation resistance 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; at a preset insulation performance detection frequency, a preset current is applied to the electrical contact part to detect the insulation performance value of the electrical contact part; 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 safety insulation performance range, the power load distribution in the leakage area is restored.

[0007] In the above embodiment, through multiple monitoring and judgment, the safety risks caused by gas leakage can be effectively identified and controlled, isolation protection can be performed when the insulation performance is degraded, and inert gas can be sprayed when a chemical reaction may be triggered, so as to ensure the safe operation of the energy storage unit; at the same time, through dynamic detection and recovery operations, it is ensured that the system function is quickly restored after the problem is solved, taking into account both safety and operational efficiency, and not only can the gas leakage risk be judged, but also combined with the dynamic monitoring of insulation performance, the coordinated prevention and control of gas leakage and electrical faults is realized, which significantly improves the safety of the fault area after the insulation performance is degraded due to gas leakage.

[0008] In combination with some embodiments of the first aspect, in some embodiments, after 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 parts of the box-type energy storage substation, it also includes: Collect leakage humidity data and leakage temperature data of the leakage area; use the leakage humidity data and leakage temperature data combined with 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.

[0009] In the above embodiment, the condensation risk value is calculated by combining the humidity, temperature and abnormal gas concentration data of the leakage area, and the heating device is started to heat the area when the risk value exceeds the preset safety threshold to prevent the occurrence of condensation. Condensation may cause gas to accumulate on the surface of the equipment, increase the risk of reduced insulation performance of the electrical equipment, and may also aggravate corrosion or induce chemical reactions; through real-time monitoring and active heating, the formation of condensation can be effectively suppressed to ensure the insulation performance and operational safety of the equipment.

[0010] In conjunction with some embodiments of the first aspect, in some embodiments, the condensation risk value in the leakage area is calculated using the leakage humidity data, the leakage temperature data and the abnormal gas concentration data, specifically including: The condensation risk value in the leakage area is calculated using the leakage humidity data, the leakage temperature data, the abnormal gas concentration data and the first formula; wherein the first formula is: ;in, is the condensation risk value, To leak 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.

[0011] In the above embodiment, the leakage humidity data, temperature data, abnormal gas concentration data and gas influence coefficient are combined to calculate the condensation risk value by using a formula, and the condensation risk is judged based on the difference between the dew point temperature and the current ambient temperature. When the condensation risk value exceeds the preset safety threshold, intervention measures such as heating are taken. This formula comprehensively considers the impact of ambient humidity, temperature and the chemical properties of abnormal gases on the formation of condensation, and can accurately assess the condensation risk, ensuring timely intervention before the risk reaches a critical state, thereby effectively preventing the threat of condensation to the insulation performance and operational safety of the equipment.

[0012] In combination with some embodiments of the first aspect, in some embodiments, if the condensation risk value exceeds the preset condensation risk safety threshold, after starting the heating device to heat the leakage area, the method further includes: 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.

[0013] 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.

[0014] 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: 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.

[0015] 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.

[0016] 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: After receiving the real-time gas concentration data, the data 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, the gas concentration data of the leakage adjacent area is obtained; 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.

[0017] In the above embodiment, by using the machine learning model combined with the gas concentration change law of the adjacent area, the gas concentration in the leakage area can be quickly and accurately inferred when data is missing, avoiding the loss of key data due to monitoring blind spots or acquisition delays, thereby ensuring the continuity and reliability of gas leakage detection. It improves the data integrity and the real-time response capability of the system, provides accurate basic data support for subsequent leakage risk judgment and emergency measures, and ultimately improves the safety management level of energy storage substations.

[0018] In combination with some embodiments of the first aspect, in some embodiments, after applying a 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, the method further includes: Collect real-time leakage temperature data of the leakage area at a preset environmental data collection frequency; determine whether the environmental conditions exceed the preset environmental operating range based on 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, extend the preset insulation performance detection frequency by increasing the preset frequency by a multiple.

[0019] In the above embodiment, when the temperature and humidity environment exceeds the safe operating range, the insulation performance of the equipment may deteriorate rapidly. By increasing the insulation performance detection frequency, the potential risk of insulation performance degradation can be discovered 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 detection, but also significantly improves the safety and reliability of equipment operation, and effectively avoids the impact of sudden failures on system operation.

[0020] In a second aspect, an embodiment of the present application provides a box-type energy storage substation operation and control system, which 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, and 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 and control system to execute the method described in the first aspect and any possible implementation method of the first aspect.

[0021] In a third aspect, an embodiment of the present application provides a computer program product comprising instructions. When the above-mentioned computer program product is run on a box-type energy storage substation operation control system, the above-mentioned box-type energy storage substation operation control system executes the method described in the first aspect and any possible implementation method of the first aspect.

[0022] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, comprising instructions. When the above instructions are executed on a box-type energy storage substation operation control system, the above-mentioned box-type energy storage substation operation control system executes the method described in the first aspect and any possible implementation method of the first aspect.

[0023] It can be understood that the box-type energy storage substation operation control system 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 box-type energy storage substation operation control method provided in the embodiment of the present application. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method, which will not be repeated here.

[0024] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. Through multiple monitoring and judgment, this application can effectively identify and control the safety risks caused by gas leakage, perform isolation protection when the insulation performance degrades, and spray inert gas 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, it ensures that the system function is quickly restored after the problem is solved, taking into account both safety and operational efficiency. It can not only judge the risk of gas leakage, but also combine with dynamic monitoring of insulation performance to achieve coordinated prevention and control of gas leakage and electrical faults, significantly improving the safety of the fault area after the insulation performance is degraded due to gas leakage.

[0025] 2. This application uses a formula to combine leakage humidity data, temperature data, abnormal gas concentration data and gas impact coefficient to calculate the condensation risk value, and judges the condensation risk based on the difference between the dew point temperature and the current ambient temperature. When the condensation risk value exceeds the preset safety threshold, intervention measures such as heating are taken. This formula comprehensively considers the impact of ambient humidity, temperature and the chemical properties of abnormal gases on the formation of condensation, and can accurately assess the condensation risk, ensuring timely intervention before the risk reaches a critical state, thereby effectively preventing the threat of condensation to the insulation performance and operational safety of the equipment.

[0026] 3. This application predicts the diffusion path of leaked gas and effectively identifies high-risk overlapping areas. By cutting off power and taking shielding measures in advance, it can prevent gas leakage from causing short circuits in electrical equipment, degradation of insulation performance, or other safety accidents, thereby achieving precise protection of high-voltage equipment in the energy storage system and improving the overall safety and operational reliability of the substation. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a flow chart of a method for controlling the operation of a box-type energy storage substation in an embodiment of the present application; Figure 2 This is another flow chart of the box-type energy storage substation operation control method in the embodiment of the present application; Figure 3 It is an exemplary hardware structure diagram of the box-type energy storage substation operation control system in the embodiment of the present application. DETAILED DESCRIPTION

[0028] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification and appended claims of the present application, the singular expressions "one", "a kind of", "", "above", "said" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to and includes any or all possible combinations of one or more listed items.

[0029] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0030] In the related art, in the face of possible gas leakage in a box-type energy storage substation, gas concentration monitoring is usually used to determine whether there is a leakage, and simple alarm or power load cut-off measures are taken. However, this treatment method cannot distinguish the specific impact of gas equipment and the environment, and lacks the ability to judge the risks of potential dangerous situations that may be caused by leaking gas. In addition, when dealing with the degradation of insulation performance caused by gas leakage, the related technology lacks effective isolation and monitoring methods, which may lead to safety problems in the fault area during the operation of the box-type energy storage substation.

[0031] In the embodiment of the present application, a box-type energy storage substation operation control method is proposed. By monitoring the concentration 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 initiating a chemical reaction, and spraying inert gas if necessary to reduce the risk. At the same time, the insulation performance value of the electrical contact parts is detected, and electromagnetic isolation is immediately implemented when the insulation resistance is lower than the safety threshold, and the power load is gradually restored after ensuring safety. Compared with related technologies, the present application scheme can not only judge the risk of gas leakage, but also combine with dynamic monitoring of insulation performance to achieve coordinated prevention and control of gas leakage and electrical faults, significantly improving the safety of the fault area after the insulation performance is reduced due to gas leakage.

[0032] Figure 1 It is a flow chart of the operation control method of the box-type energy storage substation using the embodiment of the present application, including the following steps: S101, collecting gas concentration data inside the box-type energy storage substation; Specifically, the gases in the gas concentration data include hydrogen, carbon dioxide, and trace amounts of electrolyte volatiles.

[0033] There are many gases inside the box-type energy storage substation, including hydrogen, carbon dioxide, and electrolyte volatiles (such as volatile organic compounds VOC). In order to collect the concentration data of these gases, it is necessary to select appropriate gas sensors. These sensors need to be arranged in key areas of the substation, such as energy storage battery modules, vents, and contact parts where leakage may occur, so as to accurately collect gas concentration data.

[0034] In high humidity or high temperature environments, the sensor may be disturbed, so special measures need to be taken. In humid areas, when the humidity is detected to be higher than the preset detection humidity threshold, a 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 highly sensitive PID sensor can be used, and the gas can be collected centrally by a sampling pump to enter the sensing cavity to improve the detection effect.

[0035] S102, comparing the gas concentration data with a preset gas concentration safety threshold to determine whether there is a gas leakage phenomenon; If yes, execute the following step S103; If not, return to execute the above step S101; Specifically, the gas leakage phenomenon is the detection of abnormal gas concentration data exceeding the safety threshold in the gas concentration data. If there is a gas leakage phenomenon, the following step S103 is executed to further process the gas leakage phenomenon; if there is no gas leakage phenomenon, the above step S101 is returned to continue to collect data.

[0036] The sensor collects gas concentration data in real time and outputs the data in the form of electrical signals. The electrical signal is converted into a digital signal through an analog-to-digital converter (ADC), 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, which is a fixed value set according to the lower explosion limit, toxicity range and equipment safety requirements of the relevant gas. The data is analyzed through algorithms, which usually include 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 leak.

[0037] S103, 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 parts of the box-type energy storage substation; Specifically, the leakage time corresponding to the gas leakage phenomenon is recorded 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 insulation resistance is detected by an insulation tester (such as a megohmmeter). The tester applies a DC voltage (generally between 500V and 1000V) to the electrical contact parts and measures the leakage current through the insulation layer to calculate the insulation resistance value.

[0038] In a high humidity environment, condensed water may work together with leaking gas to further reduce insulation performance. In this case, it is necessary to combine the humidity sensor data to record the interactive effect of humidity changes and gas leakage.

[0039] S104, judging whether the leaked gas meets the conditions for inducing a chemical reaction based on the abnormal gas concentration data and the leakage time in the leakage area; If yes, then execute the following step S105; If not, execute the following step S106; Specifically, first, the gas sensor collects gas concentration data in the leakage area in real time and records the time when the leakage occurs. The concentration data is combined with time 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, and the gas concentration is compared with the critical conditions of the chemical reaction (such as the lower explosion limit, combustion limit or activation energy requirement) to determine whether a chemical reaction is likely to occur.

[0040] At the same time, 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 lasts for a long time or the concentration continues to rise, the danger will increase further. In addition, a comprehensive analysis is performed in combination with environmental parameters (such as temperature, humidity and oxygen concentration) 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 the sensor data is used to verify whether these conditions are met. Finally, a risk assessment report is generated based on concentration, time and environmental factors to determine whether the conditions for initiating a chemical reaction are met. If possible, the following step S105 is executed to trigger the corresponding safety measures (such as alarm, spraying inert gas or starting the exhaust device); if not possible, the following step S106 is executed to continue to deal with the gas leakage phenomenon. This method ensures that the chemical reaction risk of the leaked gas can be quickly identified and handled in a timely manner, providing a guarantee for the safe operation of the equipment.

[0041] S105, spraying a preset inert gas into the leakage area; Specifically, when the gas sensor detects that the gas concentration in the leakage area reaches a dangerous critical value (such as the lower explosion limit) and determines that a chemical reaction may occur, the spray device will be triggered. Inert gases (such as nitrogen, carbon dioxide or helium) are quickly transported to the leakage area through high-pressure tanks and pipeline networks. The nozzles are usually designed with multi-point distribution to ensure that the inert gas can quickly fill the leakage area. Inert gas reduces risks in two ways: one is to dilute the concentration of the leaking gas to below the lower explosion limit (LEL); the other is to replace oxygen and reduce the oxygen concentration to a non-combustible level (usually below 12%).

[0042] In some embodiments of the present application, battery thermal runaway may cause the electrolyte to decompose or burn, releasing flammable and corrosive gases. This leakage is not only rapid, but may also be accompanied by high temperature and flames, further exacerbating safety risks. When a rapid increase in the concentration of flammable gas is detected and the temperature sensor detects an abnormal temperature rise, the system immediately determines that it is a leak caused by thermal runaway and quickly triggers the spraying system. Carbon dioxide is sprayed first to absorb heat and reduce the temperature, while nitrogen spraying is used to reduce the oxygen concentration and inhibit the combustion reaction.

[0043] S106. In the case where there are multiple leakage areas, 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; Specifically, first, the system collects abnormal gas concentration data in real time through sensors deployed in the leakage area. These data record the gas concentration value and its changing trend 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, vent location), 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 spatial structure determines the range of gas activity, the ventilation system affects the diffusion direction and speed of the gas, and obstacles may block the diffusion of gas or change its path.

[0044] 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 leak point, the concentration gradient can be calculated and the main direction of diffusion can be determined. At the same time, the convection of the ventilation system will have a significant impact on the diffusion of gas. 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) will also affect the diffusion behavior. Light gases tend to diffuse upwards, while heavy gases tend to settle downwards.

[0045] The calculation of gas diffusion paths is based on concentration gradients, spatial partitioning, and dynamic adjustment mechanisms. First, the system determines the initial concentration distribution based on the concentration data of the leakage point, and then divides the spatial area based on the layout information of the substation to analyze the diffusion possibility of the gas. Next, the concentration change is calculated using diffusion formulas (such as Fick's law), and the diffusion path is adjusted based on the operating status of the ventilation system or the physical properties of the gas. The system dynamically updates the calculation results to ensure that the diffusion trend can be accurately predicted in complex scenarios with multiple leakage points.

[0046] Finally, the system generates dynamic simulation results of the leaked gas diffusion, including a three-dimensional diffusion path or concentration distribution map, indicating the specific path and range of the gas from the leakage point to the diffusion area.

[0047] S107, when the leakage diffusion path includes a high-voltage electrical overlap area, cutting off the power supply to the high-voltage electrical equipment in the high-voltage electrical overlap area and performing electromagnetic shielding; Specifically, in the case where the leakage diffusion path contains a high-voltage electrical overlap area, in order to avoid arcing, sparks or other dangerous reactions between the leaked gas and the high-voltage equipment, the system needs to cut off the power supply of the high-voltage electrical equipment in the area and implement electromagnetic shielding. First, the diffusion path of the leaked gas is calculated through the sensor network and diffusion model, and it is compared with the preset equipment layout information of the energy storage substation to determine the overlap area between the leakage diffusion path and the area where the high-voltage electrical equipment is located (i.e., the high-voltage electrical overlap area). This area is where the leaked gas may spread to and interact dangerously with the high-voltage equipment, and protection measures must be taken as a priority.

[0048] When the high-voltage electrical overlap 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 to prevent the leaking gas from causing arcs or sparks, thereby reducing the risk of fire and explosion. At the same time, the system activates the electromagnetic shielding device to isolate the electromagnetic field generated by the equipment through a metal shielding layer, conductive net or dynamic shielding mechanism arranged around the high-voltage equipment to prevent the residual electric field or charge from reacting dangerously with the leaking gas. In addition, electromagnetic shielding can prevent external electromagnetic interference from causing further damage to the equipment. During this process, the system continuously monitors the diffusion path of the leaking gas, dynamically adjusts the shielding range and power-off area, and ensures the safety of equipment and personnel during the entire leakage process.

[0049] S108, when the leakage insulation resistance value of the insulation resistance is lower than the insulation resistance value safety threshold, electromagnetically isolating the leakage area, and no longer allocating the power load to the energy storage unit in the leakage area; 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 leakage, short circuit or arc discharge. In order to avoid these risks and ensure system safety, the system needs to electromagnetically isolate the leakage area and stop allocating power load to the energy storage unit in the area.

[0050] The insulation monitoring module in the energy storage system detects the insulation resistance value of each energy storage unit in real time. When the insulation resistance value of a certain energy storage unit is lower than the preset safety threshold (for example, 1MΩ), the system will determine that there is a risk of insulation performance degradation.

[0051] Electromagnetic isolation is to physically isolate the leakage area from the rest of the electrical system through an isolating switch or circuit breaker, and activate a shielding device around the leakage area to prevent the residual electromagnetic field in the equipment from coupling to the outside world. The shielding device is usually made of conductive materials (such as copper mesh or metal plates), which closes the magnetic field and electric field to ensure that abnormal electromagnetic activities in the leakage area will not affect other equipment.

[0052] 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. Load switching can be completed through bypass circuits or backup energy storage units to ensure the stability of the overall power supply of the system. The purpose of stopping load distribution is to reduce the electrical pressure in the leakage area and avoid further electrical failures caused by reduced insulation performance.

[0053] In the above steps S107 and S108, the circuit is cut off and electromagnetic isolation is performed on the overlapping part of the leakage diffusion path and the area where the high-voltage electrical equipment is located, and then the step-by-step strategy of determining whether it is necessary to implement electromagnetic isolation on all leakage areas is determined based on the insulation resistance value. This can quickly isolate high-risk areas and avoid dangerous situations such as sparks, arcs or short circuits caused by the contact between the leaked gas and the high-voltage equipment, thereby effectively curbing the expansion of the accident. At the same time, by giving priority to the overlapping areas, only the cutting measures are taken for the parts with direct threats, avoiding excessive isolation of the entire system, ensuring the partial operating capacity of the system, reducing the scope of power supply interruption, and improving operating efficiency. Then, through dynamic monitoring of the insulation resistance value, all leakage areas are fully isolated only when the insulation performance drops below the safety threshold, thereby achieving efficient processing of hierarchical response and step-by-step investigation, and further reducing the risk of equipment damage and accident expansion.

[0054] S109, applying a current of a preset magnitude to the electrical contact component at a preset insulation performance detection frequency to detect an insulation performance value of the electrical contact component; Specifically, a current of a preset magnitude is applied to the component at a preset detection frequency, and its insulation performance value is measured to evaluate the operating status and insulation condition of the component. First, according to the working voltage level and design requirements of the electrical contact component, an appropriate current value is set, and the current is applied through special equipment (such as an insulation tester) to ensure that the current size can accurately reflect the insulation performance without causing damage to the component. Subsequently, the insulation resistance value of the component is detected, and the insulation resistance is calculated 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.

[0055] 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 withstand voltage capacity of the component. At the same time, the dielectric loss factor (tanδ) is measured, and the energy loss of the insulating material is reflected by detecting the ratio of the active component to the reactive component of the current under AC voltage. The larger the loss factor, the more likely the insulating material is aged or defective. In addition, the system monitors the partial discharge characteristics of the components, and uses special equipment to detect parameters such as discharge amplitude, frequency, and starting voltage to evaluate defects or abnormalities in local areas of the insulation system.

[0056] S110: If the insulation performance is within a preset safety insulation performance range, the power load distribution in the leakage area is restored.

[0057] Specifically, first, the system dynamically monitors the insulation performance values ​​(such as insulation resistance, breakdown voltage, dielectric loss factor, etc.) of the leakage area through the insulation monitoring device. If all indicators meet the safety standards, such as the insulation resistance value is restored to a value higher than the safety threshold, the breakdown voltage meets the design requirements, and there are no abnormalities in the dielectric loss factor and partial discharge characteristics, the system determines that the insulation performance has returned to normal.

[0058] After all safety conditions are met, the system restores power distribution by gradually restoring the load. First, the equipment is started at a lower load, and the load is gradually increased to the rated level to verify the operating stability of the equipment after power is restored. During this process, the system continues to monitor the insulation performance and operating status of the equipment in real time. If an abnormal situation occurs again, such as reduced insulation performance or unstable load operation, the system will immediately cut off the power distribution in the area and re-isolate to ensure overall safety.

[0059] In the above embodiment, by comparing the gas concentration data in the box-type energy storage substation with the preset safety threshold, it is determined whether there is a gas leak, and based on the abnormal concentration data and the leakage time, it is evaluated whether the leaked gas meets the conditions for inducing a chemical reaction, and inert gas is sprayed if necessary to suppress the risk of chemical reactions. At the same time, the insulation performance value of the electrical contact parts in the leakage area is detected. If the leakage causes the insulation resistance value to be lower than the safety threshold, the leakage area is electromagnetically isolated, and the power load distribution is cut off to prevent short circuits or fire accidents caused by reduced insulation performance. Subsequently, the insulation performance is dynamically detected at a preset frequency, and the power load is gradually restored after confirming that it has recovered to a safe range. The whole process management can be realized from gas leakage detection to electrical insulation performance monitoring and recovery, effectively preventing the leaked gas from inducing chemical reactions or electrical faults, and improving the safety of the fault area after the insulation performance is reduced due to gas leakage during the operation of the box-type energy storage substation.

[0060] In other embodiments of the present application, in the event of a gas leak, condensation may occur, which may cause gas to accumulate on the surface of the equipment, increasing the risk of reduced insulation performance of the electrical equipment, and may also aggravate corrosion or induce chemical reactions. The box-type energy storage substation operation control method provided in the present application can effectively monitor and prevent the occurrence of condensation, thereby improving the safety of the fault area after the insulation performance is reduced due to gas leakage during the operation of the box-type energy storage substation.

[0061] like Figure 2 As shown, another flow chart of the box-type energy storage substation operation control method provided in an embodiment of the present application includes the following steps: S201, collecting gas concentration data inside the box-type energy storage substation; S202, comparing the gas concentration data with a preset gas concentration safety threshold to determine whether there is a gas leakage phenomenon; If yes, execute the following step S203; If not, return to execute the above step S201; S203, 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 parts of the box-type energy storage substation; S204, collecting leakage humidity data and leakage temperature data of the leakage area; Specifically, it is completed by installing humidity and temperature sensors 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 usually 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.

[0062] S205, using the leakage humidity data, the leakage temperature data and the abnormal gas concentration data to calculate the condensation risk value in the leakage area; Specifically, in the process of gas leak detection, in order to assess whether there is a condensation risk in the leak area, it is necessary to combine the leak humidity data, leak 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.

[0063] First, based on the humidity data (relative humidity) and temperature data of the leakage area, the dew point temperature of the 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, based on the abnormal gas concentration data in the leakage area, the impact of gas composition on condensation conditions is analyzed. The data in the leakage area is brought into the set condensation risk value calculation formula to calculate the condensation risk value.

[0064] In some embodiments of the present application, the condensation risk value in the leakage area is calculated using the leakage humidity data, the leakage temperature data, the abnormal gas concentration data and the first formula. The first formula is: ;in, is the condensation risk value, To leak 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.

[0065] For the first formula above, the possibility of condensation in the area is calculated by comprehensively analyzing the humidity data, temperature data and abnormal gas concentration data of the leakage area, which is used to evaluate the possibility of condensation caused by comprehensive factors such as humidity, dew point temperature, ambient temperature and abnormal gas concentration in a specific environment. The occurrence of condensation may cause equipment damage, corrosion or other adverse consequences, so it is very important to accurately quantify the condensation risk. The formula quantifies the condensation risk by combining multiple parameters and interactions to better guide risk management and preventive measures in actual scenarios.

[0066] Specifically, this first formula systematically assesses the risk of condensation through multiple components: Part I Provides the basic effects of humidity and temperature, this section combines the leak humidity data , dew point temperature and leak temperature data .humidity It is one of the core drivers of condensation risk and directly affects the amount of water vapor in the air. This indicates the temperature at which water vapor in the air begins to condense. , the formula captures the difference between the dew point temperature and the current ambient temperature, reflecting the effect of humidity in near-condensing conditions. near This term provides the basic relationship between humidity and temperature to the formula, capturing the direct effect of humidity on condensation at different temperature conditions.

[0067] Part 2 The special effect of abnormal gases on condensation risk is introduced, here is the abnormal gas concentration, expressed as volume percentage, and is the gas influence factor, which is used to characterize the contribution of different gases to the risk of condensation. The presence of abnormal gases (such as sulfur dioxide, ammonia, etc.) may change the condensation behavior of the air through chemical reactions or physical properties. For example, some gases can lower the condensation point or increase corrosiveness. By multiplying the preset gas influence factor , the formula can flexibly adapt to the characteristics of different gases. This item takes into account the influence of gas, making the formula not only suitable for ordinary humidity condensation scenarios, but also for complex industrial environments or chemical reaction environments.

[0068] The third part enhances the nonlinear sensitivity of multi-parameter interactions. This part introduces nonlinear characteristics through the natural logarithm function ln and combines humidity , gas concentration and ambient temperature The introduction of the natural logarithm ln increases the sensitivity to condensation risk under extreme conditions, such as high humidity or high gas concentration. When humidity and gas concentration are low, ln grows slowly, indicating a low condensation risk; when humidity and gas concentration are high, ln grows faster, reflecting a significant increase in condensation risk. In addition, the denominator This section captures the complex interactions between key parameters and makes up for the fact that traditional linear formulas may underestimate the risk of condensation under extreme conditions.

[0069] The first formula has both intuitive physical meaning (the relationship between humidity and temperature) and combines gas and nonlinear characteristics, making it applicable to a variety of complex scenarios. In this way, the first formula can more accurately reflect the dynamic changes of condensation risks in real environments and provide a scientific basis for preventive measures.

[0070] S206: If the condensation risk value exceeds the preset condensation risk safety threshold, start the heating device to heat the leakage area; Specifically, when the condensation risk value is detected to exceed the preset condensation risk safety threshold, the heating device will be activated to heat the leakage area. By increasing the ambient temperature in the leakage area, the relative influence of humidity and dew point temperature can be reduced, thereby reducing the 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, and the formation of condensation conditions can be weakened mathematically and physically.

[0071] In the above steps S204-S206, the prediction and real-time response to condensation risks can effectively prevent condensation problems caused by changes in environmental humidity and temperature. Through accurate data analysis and dynamic heating control, not only the efficiency of dealing with condensation risks is improved, but also the safety and stability of electrical equipment inside the box-type energy storage substation can be guaranteed, the service life of the equipment can be extended, and potential failures and economic losses can be avoided.

[0072] S207, collecting real-time leakage humidity data and real-time gas concentration data of the leakage area at a preset environmental data collection frequency; Specifically, humidity data is usually collected using humidity sensors (such as capacitive or optical humidity sensors), which calculate relative humidity values ​​by measuring the water vapor content in the air; gas concentration data is collected using gas sensors (such as infrared absorption sensors, electrochemical gas sensors, or semiconductor gas sensors), which determine gas concentrations by measuring changes in the physical or chemical properties of gas molecules. 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.

[0073] 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, which also receives data according to a preset environmental data collection frequency. When the real-time gas concentration data group does not receive data according to the preset environmental data collection frequency, the gas concentration data collection sensor may be affected by the corrosive gas in the leaked gas, resulting in failure to collect data normally.

[0074] The system will then obtain gas concentration data from areas adjacent to the leakage area as a supplement and indirect basis for judgment. Leakage adjacent areas refer to areas that are physically connected or geographically adjacent to the leakage area, and their gas concentration data can reflect the diffusion trend or leakage status of the leakage area. Specifically, the system detects that the sensors in the leakage area have not uploaded data at the preset frequency, triggering the adjacent area data compensation mechanism. The system locates all detection points directly adjacent to the leakage area based on the predefined area mapping relationship. Call the real-time data of the sensors in the adjacent areas or the historical data of the most recent time to obtain the gas concentration data of these areas. Input the data of the adjacent areas into the preset leakage gas diffusion model to infer the concentration changes or leakage diffusion trends in the leakage area and obtain the predicted gas concentration data.

[0075] Finally, the obtained predicted gas concentration data is stored in the real-time gas concentration data group to complete the missing data in the real-time gas concentration data group.

[0076] In the above embodiment, by introducing the gas concentration data of adjacent areas and making inferences with the help of the diffusion model, the monitoring blind area can be effectively compensated in the absence of the original sensor data, ensuring the integrity and continuity of the real-time gas concentration data set. This method not only improves the system's ability to perceive the dynamic changes of gas leakage, but also ensures the reliability and accuracy of data in harsh environments, thereby providing accurate basic data support for subsequent leakage risk assessment and emergency response.

[0077] S208, calculating the humidity change rate according to the real-time leakage humidity data; Specifically, the humidity change rate is calculated by analyzing the real-time collected humidity data The purpose of this calculation is to measure the rate of change over time, and to reflect the dynamic changes in ambient humidity. The calculation formula is: , where P is the humidity change rate, and The time and time The humidity value at is the sampling time interval. By calculating the humidity increment at adjacent time points , and divided by the time interval , the humidity change rate can be obtained. The system obtains real-time data from the humidity sensor at a set sampling frequency (such as once per second) to ensure dynamic update of the change rate.

[0078] S209, when the humidity change rate is lower than the preset minimum humidity change rate threshold, increasing the heating temperature of the heating device according to the humidity change rate difference; Specifically, when the humidity change rate is monitored to be 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 increased risk of condensation due to too low humidity in the air.

[0079] First, the humidity change rate calculated in real time is compared with the preset minimum humidity change rate threshold. If the humidity change rate is lower than the preset minimum humidity change rate threshold, the difference between the humidity change rate and the preset minimum humidity change rate threshold is calculated, and its absolute value is taken as the difference in humidity change rate.

[0080] Secondly, according to the humidity change rate difference, based on a preset linear or nonlinear relationship, the humidity change rate difference and the original temperature of the heating device are substituted to calculate a new heating temperature, and the temperature of the heating device is changed to the new heating temperature.

[0081] S210, judging whether the gas concentration is within a preset gas concentration safety threshold range and whether the humidity is reduced to a safety humidity threshold according to the real-time gas concentration data; If yes, then execute the following step S211; If not, execute the above step S207; Specifically, based on the real-time collected gas concentration data and humidity data, it is determined 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 is reduced to below the safety humidity threshold. When both the gas concentration is within the preset safety threshold range and the humidity is reduced to below the safety humidity threshold are met, the requirements of this step are met, and the following step S211 is executed to stop the operation of the heating device; when any of the two conditions of the gas concentration being within the preset safety threshold range and the humidity being reduced to below the safety humidity threshold cannot be met at the same time, the above step S207 is executed to continue data collection.

[0082] S211, stop the operation of the heating device; 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 environmental safety conditions or reaching set goals.

[0083] In the above steps S207-S211, the heating temperature is dynamically regulated according to the real-time feedback of humidity changes, which can improve the efficiency of humidity reduction and prevent the continued existence of condensation risks due to insufficient heating or energy waste caused by excessive heating. At the same time, through the dual monitoring of gas concentration and humidity, it is ensured that the heating device is stopped only after the environment is fully restored to a safe range, thereby achieving precise environmental control. Ultimately, the operational safety and energy efficiency of the energy storage substation are effectively guaranteed, and the potential threats to the equipment caused by condensation, corrosion and gas leakage are avoided.

[0084] S212, when the leakage insulation resistance value of the insulation resistance is lower than the insulation resistance value safety threshold, electromagnetically isolating the leakage area, and no longer allocating the power load to the energy storage unit in the leakage area; S213, applying a current of a preset magnitude to the electrical contact component at a preset insulation performance detection frequency to detect an insulation performance value of the electrical contact component; S214, collecting real-time leakage temperature data of the leakage area at a preset environmental data collection frequency; Specifically, the real-time leakage temperature data of the leakage area is collected by deploying temperature sensors to periodically sample and record the temperature of the target area at a preset environmental data collection frequency.

[0085] S215, judging whether the environmental conditions exceed the preset environmental operating range according to the real-time leakage temperature data and the real-time leakage humidity data; If yes, execute the above step S214; If not, execute the following step S216; Specifically, by monitoring the real-time temperature data and humidity data of the leakage area, the system determines whether the current environmental conditions exceed the preset operating range, compares the real-time data with the preset environmental operating range, and determines whether the safe operating requirements are met based on logical conditions. The temperature range and humidity range are preset, and these values ​​are determined by factors such as equipment operating requirements, gas characteristics, and condensation risks. Perform a logical judgment 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 operating 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 operating range, execute the following step S216, and extend the preset insulation performance detection frequency.

[0086] S216, increasing the preset insulation performance detection frequency by a preset frequency extension multiple; Specifically, the preset insulation performance detection frequency is a pre-set basic detection frequency, that is, a regular time interval for insulation performance detection, such as detection every 10 seconds, and the frequency is determined by the equipment type, operating environment and safety requirements.

[0087] When environmental conditions exceed the preset environmental operating range, the preset insulation performance test frequency is increased by the preset frequency extension multiple, that is, the preset frequency extension multiple and the preset insulation performance test frequency are multiplied to obtain a new insulation performance test frequency, and the insulation performance test is continued at the new insulation performance test frequency.

[0088] In the above steps S214-S216, through the dynamic control strategy based on real-time environmental data, it is possible to ensure that the insulation performance is detected in time when the environment is abnormal to prevent potential risks, and to optimize the detection frequency after the environment is restored to improve the system operation efficiency and equipment life, thereby realizing precise and intelligent management of insulation performance detection and improving the safety and economy of energy storage substations.

[0089] S217. If the insulation performance is within the preset safety insulation performance range, the power load distribution in the leakage area is restored.

[0090] Steps S201-S203, S212, S213, S217 and Figure 1 In the illustrated embodiment, steps S101 - S103 and S108 - S110 are similar, and the descriptions of steps S101 - S103 and S108 - S110 may be referred to, and will not be repeated here.

[0091] In the above embodiment, by real-time monitoring of the gas concentration, temperature and humidity data and insulation performance of electrical equipment inside the box-type energy storage substation, combined with multi-layer logical judgments such as gas concentration threshold, condensation risk value and insulation performance safety range, the operation strategy of the heating device and insulation performance detection is dynamically adjusted. When the risk of gas leakage and condensation is high, the heating device is started and the heating intensity is optimized according to the humidity change rate, and the insulation performance is frequently tested; 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 logical judgments, it can not only quickly respond to gas leakage and environmental anomalies, but also implement precise protection for dynamic changes in insulation performance, avoid risks such as condensation, insulation degradation and electrical failure, thereby improving the safety, operation efficiency and equipment life of the energy storage substation, and ensuring the stable operation of the system in a complex environment.

[0092] The following introduces an exemplary box-type energy storage substation operation control system 300 provided in an embodiment of the present application. Figure 3It is a schematic diagram of an exemplary hardware structure of a box-type energy storage substation operation control system 300 provided in an embodiment of the present application.

[0093] 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 via 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. When the computer program is executed by the processor, the method in the embodiment of the present application is implemented.

[0094] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure 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 a different arrangement of components.

[0095] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

[0096] As used in the above embodiments, the term "when..." may be interpreted as "if..." or "after..." or "in response to determining..." or "in response to detecting...", depending on the context. Similarly, the phrases "upon determining..." or "if (the stated condition or event) is detected" may be interpreted as "if determining..." or "in response to determining..." or "upon detecting (the stated condition or event)" or "in response to detecting (the stated condition or event)", depending on the context.

[0097] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented by 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 process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state hard disk), etc.

[0098] Those skilled in the art can understand that to implement all or part of the processes in the above-mentioned embodiments, the processes can be completed by computer programs to instruct related hardware, and the programs can be stored in computer-readable storage media. When the programs are executed, they can include the processes of the above-mentioned method embodiments. The aforementioned storage media include: ROM or random access memory RAM, magnetic disk or optical disk and other media that can store program codes.

Claims

1. A box-type energy storage substation operation control method, characterized in that: include: Collecting gas concentration data inside the box-type energy storage substation; the gases in the gas concentration data include hydrogen, carbon dioxide and trace electrolyte volatiles; Compare the gas concentration data with a preset gas concentration safety threshold to determine whether there is a gas leakage phenomenon; the gas leakage phenomenon is detecting that there is abnormal gas concentration data in the gas concentration data exceeding the safety threshold; If yes, 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 parts of the box-type energy storage substation; Based on the abnormal gas concentration data of the leakage area and the leakage time, determining whether the leaked gas meets the conditions for inducing a chemical reaction; If yes, spraying the leak area with a preset inert gas; 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; Applying a current of a preset magnitude to the electrical contact component at a preset insulation performance detection frequency to detect insulation performance values ​​of the electrical contact component; the insulation performance values ​​include insulation resistance value, insulation breakdown voltage, dielectric loss factor and partial discharge characteristics; If the insulation performance is within a preset safety insulation performance range, the power load distribution in the leakage area is restored.

2. The method according to claim 1, characterized in that In the case of the above, after 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 parts of the box-type energy storage substation, the method further includes: Collecting leakage humidity data and leakage temperature data of the leakage area; Calculate the condensation risk value in the leakage area by using the leakage humidity data, the leakage temperature data and the abnormal gas concentration data; If the condensation risk value exceeds a preset condensation risk safety threshold, the heating device is started to heat the leakage area.

3. The method according to claim 2, characterized in that The use of the leakage humidity data, the leakage temperature data and the abnormal gas concentration data to calculate the condensation risk value in the leakage area specifically includes: Calculate the condensation risk value in the leakage area using the leakage humidity data, the leakage temperature data, the abnormal gas concentration data and a first formula; Among them, the first formula is: in, is the condensation risk value, For the leak 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.

4. The method according to claim 2, characterized in that: After the heating device is started to heat the leakage area if the condensation risk value exceeds the preset condensation risk safety threshold, the method further includes: Collecting 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, the heating temperature of the heating device is increased 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 a preset gas concentration safety threshold and whether the humidity is reduced to a safety humidity threshold according to the real-time gas concentration data; If the humidity drops to a safety threshold and the gas concentration is within a safe range, the operation of the heating device is stopped.

5. The method according to claim 1, characterized in that Before the leakage area is electromagnetically isolated when the leakage insulation resistance value of the insulation resistor is lower than the insulation resistance value safety threshold, and the power load is no longer distributed to the energy storage unit in the leakage area, the method further includes: In the case where there are 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; 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.

6. The method according to claim 4, characterized in that 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.

7. The method according to claim 4, 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 the 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.

8. 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 1-7.

9. 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 7.

10. 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 1-7.

Images