Control method, system, equipment and medium for liquid hydrogen superconducting magnetic energy storage device

Abstract

The present invention discloses a control method, system, equipment, and medium for a liquid hydrogen superconducting magnetic energy storage device. The method obtains real-time power data from the power grid, calculates the first power regulation demand of the power grid, and determines the power output instruction of the liquid hydrogen energy storage unit based on the first power regulation demand. The method also determines the second power regulation demand of the power grid based on the first power regulation demand and the power output instruction, and inputs the second power regulation demand into a constructed superconducting magnetic energy storage unit state prediction model to obtain a temperature prediction value after the superconducting magnetic energy storage unit responds. The method analyzes the operating state of the liquid hydrogen superconducting magnetic energy storage device based on the temperature prediction value, and controls the operation of the liquid hydrogen superconducting magnetic energy storage device based on the analysis results. The control method of the present invention improves the overall safety performance of the device, can release the maximum energy storage resource space, and can minimize the unbalanced power of the power grid. The method has strong operational stability and a long service life.

Description

Technical Field

[0001] The present invention relates to the field of energy storage control technology, and in particular to a control method, system, equipment and medium for a liquid hydrogen superconducting magnetic energy storage device. Background Art

[0002] As climate warming and the global fossil energy shortage crisis continue to intensify, technical means such as low-carbon energy transformation and electric energy substitution have emerged one after another. The power industry is promoting the construction of new power systems to promote the development of clean, low-carbon, flexible and abundant energy. However, this also poses huge challenges to the safe and stable operation of the power grid.

[0003] Energy storage technology has become a key technology for addressing power system challenges. On the one hand, it can smooth out fluctuations in renewable energy grid integration, reducing power imbalances caused by these fluctuations, thereby improving renewable energy accessibility. On the other hand, energy storage technology can address low-frequency power oscillations in the power system. By regulating the power imbalance at the source of the oscillation, it can achieve active stabilization of the power system, providing a more effective method for stabilizing the system.

[0004] Based on the current state of technological development and the characteristics of different energy storage forms, energy storage technologies mainly include power-type energy storage technology and energy-type energy storage technology. Power-type energy storage technologies mainly include superconducting magnetic energy storage (SMES), supercapacitors, and flywheel energy storage, which have short-term high-power charging and discharging capabilities and are used to improve the power supply quality of the power grid and provide short-term power support. However, these technologies have disadvantages such as high cost, small capacity, and difficulty in large-scale utilization. Energy-type energy storage technologies include compressed air energy storage and hydrogen energy storage, which have advantages such as large capacity, peak-shaving and valley-filling, backup power supply, and energy optimization management, but have the problem of slow response speed.

[0005] To overcome the limitations of single energy storage technologies, hybrid energy storage technologies have emerged. Liquid hydrogen with SMES (LIQHYSMES) is a representative example of this hybrid energy storage technology. Liquid hydrogen storage has an extremely high energy density, 845 times that of gaseous hydrogen at room temperature and pressure, and six times that of compressed hydrogen (150-200 bar). Liquid hydrogen energy storage systems can compensate for the limited capacity of superconducting magnetic energy storage, while the rapid response of superconducting magnetic energy storage complements the slower response speed of liquid hydrogen energy storage systems. This technology fully combines the fast response of superconducting magnetic energy storage with the large storage capacity of liquid hydrogen. However, liquid hydrogen superconducting magnetic energy storage technology is still in the theoretical research stage, and practical applications present the following technical challenges: 1. Low operational safety due to the large number of components and complex structure, involving multiple areas such as materials, mechanics, and electrical engineering. The frequent charging and discharging of the superconducting coils during energy storage generates significant AC and eddy current losses, leading to elevated coil temperatures. Superconducting performance is significantly affected by operating temperature, making quenching a risk and compromising the safe operation of the entire energy storage system. 2. Poor operational stability. Liquid hydrogen superconducting magnetic energy storage systems involve the coordination of various energy storage devices and the frequent conversion between different energy forms. To maximize the device's performance in practical applications, such as mitigating power imbalances in the power grid, superconducting magnetic devices are used to smooth high-frequency power fluctuations and leverage their rapid response characteristics. When the power grid experiences a long-term power shortage, the liquid hydrogen in the liquid hydrogen tank is vaporized and supplied to hydrogen fuel cells, etc., for power generation, leveraging their high-capacity support capabilities. However, in the actual application scenarios of complex power grid fluctuations, power-type and energy-type energy storage units lack a unified operation control strategy, and the various units of liquid hydrogen superconducting magnetic energy storage devices are difficult to operate continuously and stably.

[0006] Therefore, how to solve the problems of low device safety and poor device operation stability in practical applications of liquid hydrogen superconducting magnetic energy storage devices has become a technical problem that needs to be urgently solved by those skilled in the art. Summary of the Invention

[0007] The present invention provides a control method, system, equipment and medium for a liquid hydrogen superconducting magnetic energy storage device, so as to solve the technical problems of low device safety and poor device operation stability in practical applications of liquid hydrogen superconducting magnetic energy storage devices, and achieve the effect of safe and reliable operation of the liquid hydrogen superconducting magnetic energy storage device.

[0008] In a first aspect, the present invention provides a control method for a liquid hydrogen superconducting magnetic energy storage device, wherein the liquid hydrogen superconducting magnetic energy storage device includes at least a liquid hydrogen energy storage unit and a superconducting magnetic energy storage unit, and the method includes:

[0009] Calculating the first power regulation demand of the power grid based on the real-time power data of the power grid obtained in real time;

[0010] Determining a power output instruction for the liquid hydrogen energy storage unit based on the first power regulation demand, wherein the power output instruction is designed to be an average value that eliminates power fluctuations of the power grid within a first specific time period;

[0011] determining a second power regulation demand of the power grid according to the first power regulation demand and the power output instruction, wherein the second power regulation demand reflects the remaining power regulation demand of the power grid after taking into account the output of the liquid hydrogen energy storage unit;

[0012] Inputting the second power regulation demand into a pre-built superconducting magnetic energy storage unit state prediction model to obtain a temperature prediction value of the superconducting magnetic energy storage unit after response;

[0013] The operating state of the liquid hydrogen superconducting magnetic energy storage device is analyzed based on the temperature prediction value, and the operation of the liquid hydrogen superconducting magnetic energy storage device is controlled based on the analysis result.

[0014] Preferably, analyzing the operating state of the liquid hydrogen superconducting magnetic energy storage device based on the temperature prediction value, and controlling the operation of the liquid hydrogen superconducting magnetic energy storage device based on the analysis result, includes:

[0015] If the temperature prediction value is greater than or equal to a preset critical temperature value, a first protection action is initiated; the first protection action is: iteratively updating the power output instruction of the liquid hydrogen energy storage unit and the temperature prediction value until the temperature prediction value is less than the critical temperature value;

[0016] If the temperature prediction value is less than a preset critical temperature value, using the second power regulation demand as a power output instruction of the superconducting magnetic energy storage unit;

[0017] If the superconducting magnetic energy storage unit is at risk of quenching operation within a second specific time period, a second protection action is initiated, wherein the second protection action is: iteratively updating the second power regulation demand and the temperature prediction value until the superconducting magnetic energy storage unit is no longer at risk of quenching operation within the second specific time period.

[0018] Preferably, the method further comprises:

[0019] If the superconducting magnetic energy storage unit does not have the quench operation risk within the second specific time period, it is determined whether the power grid power regulation requirement is met. If not, a third protection action is initiated. The third protection action is: iteratively updating the power output instruction and the temperature prediction value of the liquid hydrogen energy storage unit until the power grid power regulation requirement is met.

[0020] Preferably, inputting the second power regulation demand into a pre-built superconducting magnetic energy storage unit state prediction model to obtain a temperature prediction value after the superconducting magnetic energy storage unit responds includes:

[0021] Acquiring operating data of the superconducting magnetic energy storage unit under different operating conditions, the operating data including: initial current, initial temperature, average charge and discharge power, discharge time and maximum temperature of the response process;

[0022] Constructing a superconducting magnetic energy storage unit state prediction model, and using the initial current, the initial temperature, the average charge and discharge power, and the discharge time as inputs of the superconducting magnetic energy storage unit state prediction model, and using the highest temperature of the response process as the output of the superconducting magnetic energy storage unit state prediction model for training, to obtain the trained superconducting magnetic energy storage unit state prediction model;

[0023] The second power regulation demand is input into the trained superconducting magnetic energy storage unit state prediction model to obtain a temperature prediction value after the superconducting magnetic energy storage unit responds.

[0024] Preferably, the superconducting magnetic energy storage unit state prediction model is constructed based on a random forest algorithm.

[0025] Preferably, the method for obtaining the first specific time period and the second specific time period includes:

[0026] Constructing a simulation model of the liquid hydrogen superconducting magnetic energy storage device, setting different combinations of the first specific time period and the second specific time period, and controlling the simulation model using the control method to obtain the number of output state changes of the liquid hydrogen energy storage unit and the number of quench operation risks of the superconducting magnetic energy storage unit corresponding to the different combinations;

[0027] Setting a first threshold corresponding to the number of output state changes and a second threshold corresponding to the number of quench operation risks; and, on the premise that the number of output state changes is less than the first threshold and the number of quench operation risks is less than the second threshold, calculating the sum of the corresponding number of output state changes and the number of quench operation risks, obtaining a combination method corresponding to the minimum sum, and thereby obtaining values ​​of the first specific time period and the second specific time period;

[0028] The first specific time period and the second specific time period are both 2 minutes.

[0029] Preferably, the time scale of the real-time power regulation demand of the power grid is seconds.

[0030] In a second aspect, the present invention further provides a control system for a liquid hydrogen superconducting magnetic energy storage device, wherein the liquid hydrogen superconducting magnetic energy storage device includes at least a liquid hydrogen energy storage unit and a superconducting magnetic energy storage unit, and the control system includes: a first power regulation demand calculation unit, a power output instruction calculation unit, a second power regulation demand calculation unit, a temperature value prediction unit, and a coordination control unit;

[0031] The first power regulation demand calculation unit is used to calculate the first power regulation demand of the power grid according to the real-time power data of the power grid obtained in real time;

[0032] The power output instruction calculation unit is used to determine the power output instruction of the liquid hydrogen energy storage unit based on the first power control demand, and the power output instruction is designed to be an average value that eliminates power fluctuations of the power grid in a first specific time period;

[0033] The second power regulation demand calculation unit is configured to determine a second power regulation demand of the power grid according to the first power regulation demand and the power output instruction, wherein the second power regulation demand reflects the remaining power regulation demand of the power grid after taking into account the output of the liquid hydrogen energy storage unit;

[0034] The temperature value prediction unit is used to input the second power regulation demand into a pre-built superconducting magnetic energy storage unit state prediction model to obtain a temperature prediction value after the superconducting magnetic energy storage unit responds;

[0035] The coordination control unit is used to analyze the operating status of the liquid hydrogen superconducting magnetic energy storage device based on the temperature prediction value, and control the operation of the liquid hydrogen superconducting magnetic energy storage device based on the analysis result.

[0036] In a third aspect, the present invention also provides a computer device, which includes a memory, a processor and a transceiver, which are connected via a bus; the memory is used to store a set of computer program instructions and data, and transmit the stored data to the processor, and the processor executes the program instructions stored in the memory to execute the method described above.

[0037] In a fourth aspect, the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed, the above-described method is implemented.

[0038] The present invention provides a control method, system, device, and medium for a liquid hydrogen superconducting magnetic energy storage device. Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0039] (1) The device has good safety performance. The state prediction model of the superconducting magnetic energy storage unit is constructed through artificial intelligence algorithms to predict the temperature rise state of the superconducting coil of the superconducting magnetic energy storage unit, thereby avoiding the risk of quenching operation during the operation of the device and greatly improving the overall safety performance of the device.

[0040] (2) Strong unbalanced power smoothing capability. The system obtains the real-time unbalanced power demand of the power grid and, in conjunction with the superconducting magnetic energy storage unit state prediction model, performs power output command control on the liquid hydrogen energy storage unit and the superconducting magnetic energy storage unit, giving full play to the capacity support of the liquid hydrogen energy storage unit and the rapid response characteristics of the superconducting magnetic energy storage unit, releasing the maximum energy storage resource space and smoothing the unbalanced power of the power grid to the greatest extent.

[0041] (3) The device has strong operational stability, which increases the device's service life. By predicting the real-time status of the superconducting magnetic energy storage unit, it is possible to avoid excessive temperature rise of the superconducting coil and quenching operation, thus protecting the expensive superconducting coil from damage. It also avoids frequent start-up and shutdown of the liquid hydrogen energy storage unit and output changes, as well as frequent switching of the working states of liquid hydrogen vaporization and liquefaction, fuel cells, and electrolyzers, thus ensuring the stability of the device's operation and extending the device's service life. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a schematic diagram of the steps of a control method for a liquid hydrogen superconducting magnetic energy storage device provided by a preferred embodiment of the present invention;

[0043] Figure 2 This is a structural schematic diagram of an existing liquid hydrogen superconducting magnetic energy storage device provided by a preferred embodiment of the present invention;

[0044] Figure 3 This is a flow chart of a control method for a liquid hydrogen superconducting magnetic energy storage device provided by a preferred embodiment of the present invention;

[0045] Figure 4 This is a schematic diagram of a method for selecting a first specific time period and a second specific time period provided by a preferred embodiment of the present invention;

[0046] Figure 5 1 is a schematic diagram of the steps of a method for predicting a post-response temperature prediction value of a superconducting magnetic energy storage unit provided by a preferred embodiment of the present invention;

[0047] Figure 6 This is a comparison chart of test results of two trained superconducting magnetic energy storage unit state prediction models provided by a preferred embodiment of the present invention;

[0048] Figure 7 This is a schematic diagram of the steps of a method for controlling a liquid hydrogen superconducting magnetic energy storage device based on predicted temperature provided by a preferred embodiment of the present invention;

[0049] Figure 8 This is an unbalanced power curve provided by a preferred embodiment of the present invention when simulating distributed renewable energy power generation and grid connection;

[0050] Figure 9 This is an actual power response value curve of a superconducting magnetic energy storage unit and a liquid hydrogen energy storage unit provided by a preferred embodiment of the present invention;

[0051] Figure 10 This is a schematic diagram of a control system of a liquid hydrogen superconducting magnetic energy storage device provided by a preferred embodiment of the present invention;

[0052] Figure 11 It is a schematic diagram of a computer device provided by a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0053] The following is a detailed explanation of the embodiments of the present invention in conjunction with the accompanying drawings. The embodiments are provided for illustrative purposes only and cannot be understood as limitations on the present invention. The accompanying drawings are for reference and illustration purposes only and do not constitute a limitation on the scope of patent protection of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. In the description of the present invention, the terms "first", "second", "third", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first", "second", "third", etc. may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, the meaning of "multiple" is two or more.

[0054] In the description of the present invention, it should be noted that, unless otherwise expressly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be a communication between the two components. The terms "vertical", "horizontal", "left", "right", "up", "down" and similar expressions used herein are for illustrative purposes only, and do not indicate or imply that the device or component referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0055] In describing the present invention, it should be noted that, unless otherwise defined, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. Those skilled in the art will understand the specific meanings of the above terms in the present invention in specific circumstances.

[0056] See also Figure 1 In an embodiment of the present invention, a control method for a liquid hydrogen superconducting magnetic energy storage device is provided, wherein the liquid hydrogen superconducting magnetic energy storage device includes at least a liquid hydrogen energy storage unit and a superconducting magnetic energy storage unit, and the method includes:

[0057] S1. Calculate the first power regulation demand of the power grid according to the real-time power data of the power grid obtained in real time.

[0058] S2. Based on the first power regulation demand, determine a power output instruction for the liquid hydrogen energy storage unit, where the power output instruction is designed to eliminate an average value of grid power fluctuations within a first specific time period.

[0059] S3. Determine a second power regulation demand of the power grid based on the first power regulation demand and the power output instruction, where the second power regulation demand reflects the remaining power regulation demand of the power grid after considering the output of the liquid hydrogen energy storage unit.

[0060] S4. Input the second power regulation demand into a pre-built superconducting magnetic energy storage unit state prediction model to obtain a temperature prediction value of the superconducting magnetic energy storage unit after response.

[0061] S5. Analyze the operating state of the liquid hydrogen superconducting magnetic energy storage device based on the temperature prediction value, and control the operation of the liquid hydrogen superconducting magnetic energy storage device based on the analysis result.

[0062] The liquid hydrogen in the existing liquid hydrogen superconducting magnetic energy storage device not only serves as a large-capacity energy storage medium, but also serves as a cooling medium for the superconducting coil. Therefore, the two major energy storage parts are physically packaged into one. By sharing the refrigeration equipment, the refrigeration cost is greatly reduced, thus overcoming the high cost problem of conventional large-capacity superconducting magnetic devices and forming a low-cost large-capacity liquid hydrogen superconducting magnetic energy storage device. Figure 2 The figure shows the structure of an existing liquid hydrogen superconducting magnetic energy storage device, which mainly includes an electrochemical conversion unit, a power conversion and control unit, and an energy storage unit. The energy storage unit consists of a liquid hydrogen energy storage unit and a superconducting magnetic (SMES) energy storage unit. Both utilize cryogenic equipment. The superconducting coil uses magnesium diboride (MgB2), a high-temperature superconductor with a critical temperature close to 40K, and adopts immersion cooling.

[0063] Liquid hydrogen has an extremely high energy storage density, but when hydrogen is stored in liquid form, it requires a vacuum insulated container and refrigeration equipment to maintain low temperatures. Superconducting coils can only maintain superconducting properties below the critical temperature, and refrigeration equipment is also required to maintain low temperatures. The device uses liquid hydrogen as a cooling medium for the superconducting coils, saving the cost of the cooling medium for the superconducting coils. At the same time, the liquid hydrogen energy storage unit and the superconducting magnetic energy storage unit can reduce the one-time investment cost of the refrigeration equipment by sharing refrigeration equipment. Since the discharge of the liquid hydrogen energy storage unit relies on gas turbines, fuel cells and cogeneration power plants, etc., the cascade utilization of energy can be achieved. In addition, the liquid hydrogen superconducting magnetic energy storage device adopts a modular design, which is easy to expand and realize module sharing. No greenhouse effect gases are generated during operation, and zero pollution emissions can be achieved. There are no special requirements for the geographical environment of the installation location, and the device is compact and the installation location is flexible. Therefore, the control method involved in the present invention is mainly aimed at Figure 2 The disclosed liquid hydrogen superconducting magnetic energy storage device is also applicable to other liquid hydrogen superconducting magnetic energy storage devices with the same working principle. Figure 2 It only provides the optimal applicable objects of the control method of the liquid hydrogen superconducting magnetic energy storage device of the present invention, but does not limit the applicable objects of the technical solution of this case.

[0064] In a preferred embodiment of the present invention, Figure 3 As shown, the real-time power data of the power grid is obtained to reflect the real-time power fluctuation of the power grid, and the real-time power regulation demand of the power grid is calculated, which is used as the first power regulation demand of the power grid. The real-time power regulation demand of the power grid is based on seconds as the time scale to achieve second-level power demand response.

[0065] After obtaining the first power regulation demand, the power output instruction of the liquid hydrogen energy storage unit is determined. The power output instruction is designed to eliminate the average value of the power fluctuation of the power grid in the first specific time period. The specific calculation method of the power output instruction of the liquid hydrogen energy storage unit is as follows: Calculate the first power regulation demand P t The average value P in the first specific time period avg , the average value P avg As the power output instruction of the liquid hydrogen energy storage unit, that is, P HS =P avg. In a preferred embodiment of the present invention, the first specific time period and the second specific time period that appear below are both selected as 2 minutes. The first specific time and the second specific time period need to consider the stability of the operating state of the liquid hydrogen energy storage unit and the safety of the operation of the superconducting magnetic energy storage unit, that is, the liquid hydrogen energy storage unit must not frequently change its output state, and the superconducting magnetic energy storage unit must not frequently have the risk of quenching operation. For the liquid hydrogen energy storage unit, the larger the first specific time period and the second specific time period, the smoother the output of the liquid hydrogen energy storage unit and the lower the loss. For the superconducting magnetic energy storage unit, the smaller the first specific time period and the second specific time period, the lower the risk of quenching operation, and the protection action will not be frequently activated. Therefore, the selection of the first specific time period and the second specific time period is obtained through simulation experiments, such as Figure 4 As shown, the following steps are included:

[0066] S01. Constructing a simulation model of the liquid hydrogen superconducting magnetic energy storage device, setting different combinations of the first specific time period and the second specific time period, and controlling the simulation model using the control method to obtain the number of output state changes of the liquid hydrogen energy storage unit and the number of quench operation risks of the superconducting magnetic energy storage unit corresponding to the different combinations.

[0067] S02. Setting a first threshold corresponding to the number of output state changes and a second threshold corresponding to the number of quench operation risks. On the premise that the number of output state changes is less than the first threshold and the number of quench operation risks is less than the second threshold, calculating the sum of the corresponding number of output state changes and the number of quench operation risks, and obtaining a combination method corresponding to a minimum sum, so as to obtain values ​​of the first specific time period and the second specific time period.

[0068] In a preferred embodiment of the present invention, the selection of the first specific time period and the second specific time period must fully consider the operating states of the liquid hydrogen energy storage unit and the superconducting magnetic energy storage unit, that is, the liquid hydrogen energy storage unit must not frequently change its output state, and the superconducting magnetic energy storage unit must not frequently experience the risk of quenching operation, thereby ensuring the safety and stability of the operation of the liquid hydrogen superconducting magnetic energy storage device.

[0069] Furthermore, the power output instruction P of the superconducting magnetic energy storage unit is calculated. SMES , the power output instruction of the superconducting magnetic energy storage unit should be the first power control demand P t and the power output instruction P of the liquid hydrogen energy storage unit HS The difference, P SMES =P t -P HS, which is defined as the second power regulation demand. The second power regulation demand reflects the remaining power regulation demand of the power grid after considering the output of the liquid hydrogen energy storage unit. In a preferred embodiment of the present invention, in order to ensure that the temperature of the superconducting magnetic energy storage unit after response is within a safe range, a superconducting magnetic energy storage unit state prediction model is constructed, and the second power regulation demand is input into the superconducting magnetic energy storage unit state prediction model to predict the temperature prediction value of the superconducting magnetic energy storage unit after response, such as Figure 5 As shown, the following steps are included:

[0070] S201. Obtain operating data of the superconducting magnetic energy storage unit under different operating conditions, wherein the operating data includes: initial current, initial temperature, average charge and discharge power, discharge time, and maximum temperature of the response process.

[0071] S202: Construct a superconducting magnetic energy storage unit state prediction model, use the initial current, the initial temperature, the average charge and discharge power, and the discharge time as inputs of the superconducting magnetic energy storage unit state prediction model, and use the highest temperature of the response process as output of the superconducting magnetic energy storage unit state prediction model for training, to obtain a trained superconducting magnetic energy storage unit state prediction model.

[0072] S203: Input the second power regulation demand into the trained superconducting magnetic energy storage unit state prediction model to obtain a temperature prediction value after the superconducting magnetic energy storage unit responds.

[0073] Liquid hydrogen energy storage units have a slow response speed and are generally safer. Their risks mainly come from the flammability of hydrogen and hydrogen embrittlement, which requires strict requirements for storage and transportation operations. The size of the response power generally does not affect the safe operation of the liquid hydrogen energy storage unit. Superconducting magnetic energy storage units are responsible for responding to high-frequency power fluctuations and need to change their operating status quickly and frequently. In addition, maintaining the superconducting characteristics themselves also requires extremely strict temperature and operating conditions. Therefore, the present invention predicts the temperature after the superconducting magnetic energy storage unit responds.

[0074] The construction of a state prediction model for superconducting magnetic energy storage units is inseparable from the operating data of superconducting magnets under different working conditions. In a preferred embodiment of the present invention, Comsol software is used to implement electromagnetic-thermal coupling analysis of superconducting magnetic energy storage unit magnets, and a 3MJ / 2MW superconducting magnetic energy storage unit simulation model using YBCO strips is built. By changing different operating conditions, the temperature rise of the superconducting magnet is obtained, and a temperature rise simulation database of the superconducting magnetic energy storage unit is established. By changing different initial currents I0, initial temperatures T0, average charge and discharge powers P mThe simulation calculates the maximum temperature T1 of the superconducting magnet response process of the superconducting magnetic energy storage unit based on the discharge time t. Only at the highest temperature does the superconducting magnetic energy storage unit's superconducting magnet face the risk of quenching operation, so the highest temperature of the superconducting magnetic energy storage unit should be kept within a safe range.

[0075] Based on simulation experiments, the present invention obtained a total of 1440 sets of simulation data, randomly selected 1340 sets of data to construct the training set, and the remaining 100 sets of data as the test set. The random forest algorithm and neural network were used to construct the superconducting magnetic energy storage unit state prediction model, where the specific parameters of the random forest algorithm are shown in Table 1.

[0076] Table 1

[0077] Parameter name Parameter value NumTrees 100 NumPredictorsToSample 3 MinLeafSize 5 OOBpredictorImportance On

[0078] The initial current, initial temperature, average charge and discharge power, and discharge time are used as inputs of the two superconducting magnetic energy storage unit state prediction models, and the highest temperature of the response process is used as the output of the two superconducting magnetic energy storage unit state prediction models for training. Two trained superconducting magnetic energy storage unit state prediction models are obtained. The prediction results of the two trained superconducting magnetic energy storage unit state prediction models are compared using the test set. Figure 6 Shown is a comparison chart of the test results of two trained superconducting magnetic energy storage unit state prediction models.

[0079] The performance of two trained superconducting magnetic energy storage unit state prediction models was evaluated using the mean absolute percentage error (MAPE) and R-Squared metrics. R-Squared indicates the degree of fit between the prediction model and the actual value. MAPE is a commonly used performance metric for measuring the accuracy of prediction problems. Its advantage lies in its ability to intuitively reflect the relative magnitude of the prediction error. The evaluation metric calculation results for the two trained superconducting magnetic energy storage unit state prediction models are shown in Table 2 below.

[0080] Table 2

[0081] Prediction Model <![CDATA[R 2 ]]> MAPE Random Forest 0.9631 1.5621 BP neural network 0.7143 18.0976

[0082] In summary, the random forest algorithm significantly outperforms the neural network in predicting the temperature of superconducting magnets in superconducting magnetic energy storage units. Furthermore, the training time for the random forest algorithm is 0.4778 seconds, while the training time for the neural network is 0.9572 seconds, and the training complexity of the random forest algorithm is significantly lower. Therefore, the present invention uses the random forest algorithm, which offers higher accuracy, faster training speed, and simpler model structure, to construct a state prediction model for superconducting magnetic energy storage units.

[0083] In a preferred embodiment of the present invention, the second power control demand is input into the superconducting magnetic energy storage unit state prediction model to obtain the temperature prediction value T after the superconducting magnetic energy storage unit responds. After obtaining the temperature prediction value, Figure 3 As shown, it is necessary to analyze the operating status of the liquid hydrogen superconducting magnetic energy storage device based on the temperature prediction value, and control the operation of the liquid hydrogen superconducting magnetic energy storage device based on the analysis results, such as Figure 7 As shown, the following steps are included:

[0084] S301. If the temperature prediction value is greater than or equal to a preset critical temperature value, start a first protection action; the first protection action is: iteratively update the power output instruction of the liquid hydrogen energy storage unit and the temperature prediction value until the temperature prediction value is less than the critical temperature value.

[0085] S302: If the temperature prediction value is less than a preset critical temperature value, use the second power control demand as a power output instruction of the superconducting magnetic energy storage unit.

[0086] S303: If the superconducting magnetic energy storage unit has the quench operation risk within the second specific time period, initiating a second protection action, wherein the second protection action is: iteratively updating the power output instruction and the temperature prediction value of the liquid hydrogen energy storage unit until the superconducting magnetic energy storage unit no longer has the quench operation risk within the second specific time period.

[0087] like Figure 3 As shown, in the preferred embodiment of the present invention, the temperature prediction value T and the critical temperature value T are first c Compare, if T≥T c , the magnets of the superconducting magnetic energy storage unit are at risk of quenching, and a first protective action needs to be initiated. In a preferred embodiment of the present invention, the first protective action is to iteratively update the power output command and temperature prediction value of the liquid hydrogen energy storage unit until the predicted temperature value falls below the critical temperature value. This means that the calculation of the first power control demand is repeated, and the power output command and temperature prediction value of the liquid hydrogen energy storage unit are updated until the predicted temperature value falls below the critical temperature value, thereby reducing the power output of the superconducting magnetic energy storage unit.

[0088] When T1<T c , indicating that the magnet temperature of the superconducting magnetic energy storage unit predicted by the superconducting magnetic energy storage unit state prediction model is within a safe range, then the second power control demand is used as the power output instruction of the superconducting magnetic energy storage unit.

[0089] Furthermore, it is determined whether the superconducting magnetic energy storage unit has a quench operation risk within a second specific time period, and by comparing the actual temperature value after the superconducting magnetic energy storage unit responds with the critical temperature value, it is determined whether the superconducting magnetic energy storage unit has a quench operation risk. If the actual temperature value is greater than or equal to the critical temperature value, there is a quench operation risk. If the actual temperature value is less than the critical temperature value, there is no quench operation risk. In a preferred embodiment of the present invention, the second specific time is also selected as 2 minutes. If the superconducting magnetic energy storage unit has a quench operation risk within 2 minutes, the second protection action is started. The second protection action is: iteratively updating the second power control demand and the temperature prediction value until the superconducting magnetic energy storage unit does not have a quench operation risk within the second specific time period. That is, returning to the calculation of the second power control demand, updating the temperature prediction value and the power output instruction of the superconducting magnetic energy storage unit, until the liquid hydrogen superconducting magnetic energy storage device does not have a quench operation risk within 2 minutes.

[0090] In a preferred embodiment of the present invention, the method further comprises:

[0091] S6. If the superconducting magnetic energy storage unit does not have a quench operation risk within the second specific time period, determine whether the power grid power regulation requirement is met. If not, initiate a third protection action, which is: iteratively update the power output instruction and the temperature prediction value of the liquid hydrogen energy storage unit until the power grid power regulation requirement is met.

[0092] The processing of the liquid hydrogen superconducting magnetic energy storage device is controlled to meet the requirement that the superconducting magnetic energy storage unit does not have the risk of quenching operation within the second specific time period. Furthermore, a determination is made as to whether the liquid hydrogen superconducting magnetic energy storage device has met the power regulation requirements of the power grid. In a preferred embodiment of the present invention, if the liquid hydrogen superconducting magnetic energy storage device has not met the power regulation requirements of the power grid, a third protection action is initiated. The third protection action is to iteratively update the power output command and temperature prediction value of the liquid hydrogen energy storage unit until the power regulation requirements of the power grid are met. Specifically, the calculation of the first power regulation requirement is repeated, and the power output command and temperature prediction value of the liquid hydrogen energy storage unit are updated until the power regulation requirements of the power grid are met.

[0093] In a preferred embodiment of the present invention, real-time power data from the power grid is obtained, a first power regulation demand of the power grid is calculated, and a power output instruction of the liquid hydrogen energy storage unit is determined based on the first power regulation demand; a second power regulation demand of the power grid is determined based on the first power regulation demand and the power output instruction, and the second power regulation demand is input into a trained superconducting magnetic energy storage unit state prediction model to obtain a temperature prediction value after the superconducting magnetic energy storage unit responds; based on the temperature prediction value, the operating state of the liquid hydrogen superconducting magnetic energy storage device is analyzed, and based on the analysis result, the operation of the liquid hydrogen superconducting magnetic energy storage device is controlled. The control method of the liquid hydrogen superconducting magnetic energy storage device of the present invention predicts the temperature rise state of the superconducting coil of the superconducting magnetic energy storage unit through the constructed superconducting magnetic energy storage unit state prediction model, so that the temperature of the superconducting coil after the response does not exceed the critical temperature value, avoiding the risk of quenching operation during the operation of the device, and greatly improving the overall safety performance of the device. The capacity support of the liquid hydrogen energy storage unit and the rapid response characteristics of the superconducting magnetic energy storage unit are fully utilized to release the maximum energy storage resource space, maximize the balance of unbalanced power in the power grid, and enhance the stability of the device operation and increase the service life of the device.

[0094] The control method of the liquid hydrogen superconducting magnetic energy storage device of the present invention is simulated and verified based on the Matlab / Simulink platform. Figure 8 In order to simulate the unbalanced power curve when distributed renewable energy power generation is connected to the grid, the time scale of power fluctuation is 1s. A total of 150s of data are selected for simulation verification, and the power fluctuation range is between -5 and 5MW.

[0095] Executing the control method of the liquid hydrogen superconducting magnetic energy storage device of the present invention, the actual power response value curves of the superconducting magnetic energy storage unit and the liquid hydrogen energy storage unit are as follows: Figure 9 As shown, where P HS (MW) is the actual power response value curve of the liquid hydrogen energy storage system, P SMES (MW) is the actual power response value curve of the superconducting magnetic energy storage unit. The average value of the first power regulation demand of the power grid in the first 2 minutes is calculated and used as the power output instruction of the liquid hydrogen energy storage unit. Within 2 minutes, the liquid hydrogen energy storage unit maintains a constant power output; the deviation between the first power regulation demand and the power output of the liquid hydrogen energy storage unit is controlled by the output of the superconducting magnetic energy storage unit. At the 89th second, the state prediction model of the superconducting magnetic energy storage unit predicts that the magnet temperature will exceed the set critical temperature value after the superconducting magnetic energy storage unit responds, and there is a risk of superconducting magnet quenching operation. At this time, the first protection action is activated, and the average value of the first power regulation demand for the next 2 minutes is recalculated, and the output power instruction of the liquid hydrogen energy storage unit is updated, which greatly reduces the deviation between the liquid hydrogen energy storage unit and the first power regulation demand of the power grid, thereby reducing the output power of the superconducting magnetic energy storage unit.

[0096] Accordingly, if Figure 10 As shown, based on a control method for a liquid hydrogen superconducting magnetic energy storage device, an embodiment of the present invention further provides a control system for the liquid hydrogen superconducting magnetic energy storage device, wherein the liquid hydrogen superconducting magnetic energy storage device includes at least a liquid hydrogen energy storage unit and a superconducting magnetic energy storage unit, and the control system includes: a first power regulation demand calculation unit 1, a power output instruction calculation unit 2, a second power regulation demand calculation unit 3, a temperature value prediction unit 4, and a coordination control unit 5;

[0097] The first power regulation demand calculation unit 1 is used to calculate the first power regulation demand of the power grid according to the real-time power data of the power grid obtained in real time;

[0098] The power output instruction calculation unit 2 is used to determine the power output instruction of the liquid hydrogen energy storage unit based on the first power control demand, and the power output instruction is designed to be an average value that eliminates power fluctuations of the power grid in a first specific time period;

[0099] The second power regulation demand calculation unit 3 is used to determine a second power regulation demand of the power grid according to the first power regulation demand and the power output instruction, where the second power regulation demand reflects the power regulation demand remaining after the power grid takes into account the output of the liquid hydrogen energy storage unit;

[0100] The temperature value prediction unit 4 is used to input the second power regulation demand into a pre-built superconducting magnetic energy storage unit state prediction model to obtain a temperature prediction value after the superconducting magnetic energy storage unit responds;

[0101] The coordination control unit 5 is used to analyze the operating state of the liquid hydrogen superconducting magnetic energy storage device based on the temperature prediction value, and control the operation of the liquid hydrogen superconducting magnetic energy storage device based on the analysis result.

[0102] For the specific definition of a control system for a liquid hydrogen superconducting magnetic energy storage device, please refer to the above-mentioned definition of a control method for a liquid hydrogen superconducting magnetic energy storage device, which will not be repeated here. A person of ordinary skill in the art will appreciate that the various modules and steps described in conjunction with the embodiments disclosed in the present invention can be implemented in hardware, software, or a combination of both. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0103] like Figure 11As shown, an embodiment of the present invention provides a computer device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, the steps in the embodiment of the method for generating a physical digital credential based on blockchain are implemented, for example Figure 1 Steps S1 to S5 described in .

[0104] Those skilled in the art will understand that the schematic Figure 11 These are merely examples of computer devices and do not constitute limitations on the computer device. The computer device may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the computer device may also include input and output devices, network access devices, buses, etc.

[0105] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the computer device, connecting various parts of the entire computer device using various interfaces and lines.

[0106] The memory can be used to store the computer programs and / or modules, and the processor implements various functions of the computer device by running or executing the computer programs and / or modules stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function (such as a sound playback function, an image playback function, etc.); the data storage area can store data created based on the use of the mobile phone (such as audio data, a phone book, etc.). In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0107] Wherein, if the module integrated in the computer device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the process in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by the processor, it can implement the steps of the above-mentioned various method embodiments. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0108] Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by instructing related hardware through a computer program. The program can be stored in a computer-readable storage medium, and when executed, the program can include the processes in the above-described method embodiments. The storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

[0109] Accordingly, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to perform the steps in the method for generating a physical digital credential based on blockchain in the above embodiment, for example Figure 1 Steps S1 to S5 described in .

[0110] The control method, system, computer device and storage medium of a liquid hydrogen superconducting magnetic energy storage device provided in this embodiment are aimed at the technical problems of low device safety and poor device operation stability in practical applications of liquid hydrogen superconducting magnetic energy storage devices. The present invention obtains real-time power data of the power grid, calculates the real-time power regulation demand of the power grid, and the average value of the real-time power regulation demand of the power grid within 2 minutes, and uses the average value as the power output instruction of the hydrogen energy storage unit; calculates the difference between the real-time power regulation demand of the power grid and the power output instruction, and inputs the difference into the state prediction model of the superconducting magnetic energy storage unit to obtain the post-response temperature prediction value of the superconducting magnetic energy storage unit; judges in turn whether the post-response temperature prediction value and the operating state of the superconducting magnetic energy storage unit meet the pre-set requirements and whether the real-time power regulation demand of the power grid is met. If not, the power output instruction and the post-response temperature prediction value are iteratively updated until the real-time power regulation demand of the power grid is met. The control method for the liquid hydrogen superconducting magnetic energy storage device of the present invention uses a constructed superconducting magnetic energy storage unit state prediction model to predict the temperature rise state of the superconducting coil of the superconducting magnetic energy storage unit. This ensures that the temperature of the superconducting coil after the response does not exceed the critical temperature value, avoiding the risk of quenching during operation and significantly improving the overall safety performance of the device. This method fully utilizes the capacity support of the liquid hydrogen energy storage unit and the rapid response characteristics of the superconducting magnetic energy storage unit, releasing maximum energy storage resource space, maximally smoothing the unbalanced power of the power grid, and ensuring strong device operation stability and extending the device's service life.

[0111] The above-described embodiments merely represent several preferred implementations of the present invention, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the patent. It should be noted that a person skilled in the art can make several improvements and substitutions without departing from the technical principles of the present invention, and such improvements and substitutions should also be considered within the scope of protection of the present invention. Therefore, the scope of protection of the patent for this invention shall be based on the scope of protection of the claims.

Claims

1. A control method for a liquid hydrogen superconducting magnetic energy storage device, wherein the liquid hydrogen superconducting magnetic energy storage device comprises at least a liquid hydrogen energy storage unit and a superconducting magnetic energy storage unit, characterized in that: The method comprises: Calculating the first power regulation demand of the power grid based on the real-time power data of the power grid obtained in real time; Determining a power output instruction for the liquid hydrogen energy storage unit based on the first power regulation demand, wherein the power output instruction is designed to be an average value that eliminates power fluctuations of the power grid within a first specific time period; determining a second power regulation demand of the power grid according to the first power regulation demand and the power output instruction, wherein the second power regulation demand reflects the remaining power regulation demand of the power grid after taking into account the output of the liquid hydrogen energy storage unit; Inputting the second power regulation demand into a pre-built superconducting magnetic energy storage unit state prediction model to obtain a temperature prediction value of the superconducting magnetic energy storage unit after response; Analyzing the operating state of the liquid hydrogen superconducting magnetic energy storage device based on the temperature prediction value, and controlling the operation of the liquid hydrogen superconducting magnetic energy storage device based on the analysis result, including: If the temperature prediction value is greater than or equal to a preset critical temperature value, a first protection action is initiated: the power output instruction of the liquid hydrogen energy storage unit and the temperature prediction value are iteratively updated until the temperature prediction value is less than the critical temperature value; If the temperature prediction value is less than the critical temperature value, using the second power regulation demand as a power output instruction of the superconducting magnetic energy storage unit; If the superconducting magnetic energy storage unit has a quench operation risk within a second specific time period, initiating a second protection action: iteratively updating the second power regulation demand and the temperature prediction value until the superconducting magnetic energy storage unit no longer has the quench operation risk within the second specific time period; The selection of the first specific time period and the second specific time period must both meet the following requirements: the liquid hydrogen energy storage unit cannot frequently change its output state, and the superconducting magnetic energy storage unit cannot frequently experience the risk of quenching operation, so as to ensure the safety and stability of the liquid hydrogen superconducting magnetic energy storage device.

2. The control method of the liquid hydrogen superconducting magnetic energy storage device according to claim 1, characterized in that: The method further comprises: If the superconducting magnetic energy storage unit does not have the quench operation risk within the second specific time period, determine whether the first power regulation demand of the power grid is completed. If not, initiate a third protection action: iteratively update the power output instruction of the liquid hydrogen energy storage unit and the temperature prediction value until the first power regulation demand of the power grid is completed.

3. The control method of the liquid hydrogen superconducting magnetic energy storage device according to claim 1, characterized in that: Inputting the second power regulation demand into a pre-built superconducting magnetic energy storage unit state prediction model to obtain a temperature prediction value after the superconducting magnetic energy storage unit responds includes: Acquiring operating data of the superconducting magnetic energy storage unit under different operating conditions, the operating data including: initial current, initial temperature, average charge and discharge power, discharge time and maximum temperature of the response process; Constructing a superconducting magnetic energy storage unit state prediction model, and using the initial current, the initial temperature, the average charge and discharge power, and the discharge time as inputs of the superconducting magnetic energy storage unit state prediction model, and using the highest temperature of the response process as the output of the superconducting magnetic energy storage unit state prediction model for training, to obtain the trained superconducting magnetic energy storage unit state prediction model; The second power regulation demand is input into the trained superconducting magnetic energy storage unit state prediction model to obtain a temperature prediction value after the superconducting magnetic energy storage unit responds.

4. The control method of the liquid hydrogen superconducting magnetic energy storage device according to claim 3, characterized in that: The superconducting magnetic energy storage unit state prediction model is constructed based on a random forest algorithm.

5. The control method of the liquid hydrogen superconducting magnetic energy storage device according to claim 1, characterized in that: The method for obtaining the first specific time period and the second specific time period includes: Constructing a simulation model of the liquid hydrogen superconducting magnetic energy storage device, setting different combinations of the first specific time period and the second specific time period, and controlling the simulation model using the control method to obtain the number of output state changes of the liquid hydrogen energy storage unit and the number of quench operation risks of the superconducting magnetic energy storage unit corresponding to the different combinations; Setting a first threshold corresponding to the number of output state changes and a second threshold corresponding to the number of quench operation risks; and, on the premise that the number of output state changes is less than the first threshold and the number of quench operation risks is less than the second threshold, calculating the sum of the corresponding number of output state changes and the number of quench operation risks, obtaining a combination method corresponding to the minimum sum, and thereby obtaining values ​​of the first specific time period and the second specific time period; The first specific time period and the second specific time period are both 2 minutes.

6. The control method of the liquid hydrogen superconducting magnetic energy storage device according to claim 1, characterized in that: The time scale of the first power regulation demand of the power grid is seconds.

7. A control system for a liquid hydrogen superconducting magnetic energy storage device, the liquid hydrogen superconducting magnetic energy storage device comprising at least a liquid hydrogen energy storage unit and a superconducting magnetic energy storage unit, characterized in that: The control system includes: a first power regulation demand calculation unit, a power output instruction calculation unit, a second power regulation demand calculation unit, a temperature value prediction unit and a coordination control unit; The first power regulation demand calculation unit is used to calculate the first power regulation demand of the power grid according to the real-time power data of the power grid obtained in real time; The power output instruction calculation unit is used to determine the power output instruction of the liquid hydrogen energy storage unit based on the first power control demand, and the power output instruction is designed to be an average value that eliminates power fluctuations of the power grid in a first specific time period; The second power regulation demand calculation unit is configured to determine a second power regulation demand of the power grid according to the first power regulation demand and the power output instruction, wherein the second power regulation demand reflects the remaining power regulation demand of the power grid after taking into account the output of the liquid hydrogen energy storage unit; The temperature value prediction unit is used to input the second power regulation demand into a pre-built superconducting magnetic energy storage unit state prediction model to obtain a temperature prediction value after the superconducting magnetic energy storage unit responds; The coordination control unit is used to analyze the operating state of the liquid hydrogen superconducting magnetic energy storage device based on the temperature prediction value, and control the operation of the liquid hydrogen superconducting magnetic energy storage device based on the analysis result; including: if the temperature prediction value is greater than or equal to a preset critical temperature value, starting a first protection action: iteratively updating the power output instruction of the liquid hydrogen energy storage unit and the temperature prediction value until the temperature prediction value is less than the critical temperature value; if the temperature prediction value is less than the critical temperature value, using the second power regulation demand as the power output instruction of the superconducting magnetic energy storage unit; if the superconducting magnetic energy storage unit has a quench operation risk within a second specific time period, starting a second protection action: iteratively updating the second power regulation demand and the temperature prediction value until the superconducting magnetic energy storage unit no longer has the quench operation risk within the second specific time period; The selection of the first specific time period and the second specific time period must both meet the following requirements: the liquid hydrogen energy storage unit cannot frequently change its output state, and the superconducting magnetic energy storage unit cannot frequently experience the risk of quenching operation, so as to ensure the safety and stability of the liquid hydrogen superconducting magnetic energy storage device.

8. A computer device, characterized in that: The computer device includes a memory, a processor and a transceiver, which are connected via a bus; the memory is used to store a set of computer program instructions and data, and transmit the stored data to the processor, and the processor executes the computer program instructions stored in the memory to perform the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed, the method according to any one of claims 1 to 6 is implemented.

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