Air bag air storage stage pressure fluctuation suppression method for underwater compressed air energy storage

Abstract

The invention relates to a method for suppressing pressure fluctuation in an air storage stage of an air bag for underwater compressed air energy storage. The method comprises the steps that in the air bag air storage stage of underwater compressed air energy storage, current internal air pressure data of an air bag are collected in real time; according to the current internal air pressure data and preset reference pressure data, the current pressure deviation and the current pressure deviation change rate of the air bag are determined; according to the current pressure deviation and the current pressure deviation change rate, a proportional parameter, an integral parameter and a differential parameter used for adjusting the valve opening change amount of an air inlet valve of the air bag are determined; and according to the proportion parameter, the integral parameter and the differential parameter, obtaining a valve opening degree variable quantity, and based on the valve opening degree variable quantity, adjusting opening and closing of an air inlet valve of the air bag so as to restrain internal pressure fluctuation of underwater compressed air energy storage in the air bag air storage stage. By adopting the method, the safety of underwater compressed air energy storage can be improved.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of energy storage systems, in particular to a method and device for suppressing pressure fluctuation in the gas storage stage of an underwater compressed air energy storage gas bag, a computer device, a computer readable storage medium and a computer program product. BACKGROUND

[0002] Underwater compressed air energy storage technology, as a derivative technology of compressed air energy storage systems, can effectively solve the problems of poor geographical adaptability, high construction cost and potential environmental impact of traditional land compressed air energy storage systems. The technology converts electrical energy into compressed air when there is excess electricity and stores it in a closed gas bag arranged in an underwater environment. During peak electricity consumption, the stored air is released to drive a power generation device, completing the energy recovery process. Due to the good pressure adaptability and space utilization potential of water bodies, this scheme has obvious advantages in system layout flexibility, energy storage density and construction cost, and has become an important development direction in the field of new energy storage.

[0003] However, in an underwater compressed air energy storage system using a flexible gas bag as a gas storage unit, the internal pressure of the gas bag is highly sensitive to factors such as gas injection rate, water depth environmental pressure and external hydrodynamic load due to the strong deformability of the gas bag structure. During the gas storage stage, especially during the initial gas injection stage, gas tends to accumulate at the top of the gas bag under the action of buoyancy, causing the internal gas pressure of the gas bag to exhibit a nonlinear growth trend. When the internal pressure approaches or exceeds the external environmental pressure, the system will experience transient overpressure, and then gradually return to a steady state pressure through material relaxation and environmental adjustment. However, during this process, the internal pressure of the gas bag may fluctuate frequently around the target pressure value. Frequent pressure jumps not only cause structural risks such as material fatigue and seal performance degradation of the gas bag, thereby affecting the safety of the underwater compressed air energy storage system. SUMMARY

[0004] Therefore, it is necessary to provide a method and device for suppressing pressure fluctuation in the gas storage stage of an underwater compressed air energy storage gas bag, a computer device, a computer readable storage medium and a computer program product, which can improve the safety of underwater compressed air energy storage.

[0005] In a first aspect, the application provides a method for suppressing pressure fluctuation in the gas storage stage of an underwater compressed air energy storage gas bag, comprising:

[0006] During the gas storage stage of the underwater compressed air energy storage gas bag, real-time acquisition of current internal gas pressure data of the gas bag is performed;

[0007] According to the current internal gas pressure data and the preset reference pressure data, the current pressure deviation and the current pressure deviation change rate of the gas bag are determined;

[0008] determining a proportional parameter, an integral parameter and a differential parameter of a valve opening change amount of an air inlet valve of the air bag according to the current pressure deviation and the current pressure deviation change rate;

[0009] obtaining the valve opening change amount according to the proportional parameter, the integral parameter and the differential parameter, and adjusting the opening and closing of the air inlet valve of the air bag based on the valve opening change amount to suppress the internal pressure fluctuation of the underwater compressed air energy storage during the air bag gas storage stage.

[0010] In one embodiment, the determining a proportional parameter, an integral parameter and a differential parameter of a valve opening change amount of an air inlet valve of the air bag according to the current pressure deviation and the current pressure deviation change rate comprises:

[0011] determining a plurality of first fuzzy levels corresponding to the current pressure deviation and a plurality of first matching membership degrees corresponding to each of the first fuzzy levels according to the preset fuzzy level membership information, and determining a plurality of second fuzzy levels corresponding to the current pressure deviation change rate and a plurality of second matching membership degrees corresponding to each of the second fuzzy levels;

[0012] determining a plurality of third fuzzy levels corresponding to each of the target parameters according to the first fuzzy levels and the second fuzzy levels; the target parameters are the proportional parameter, the integral parameter and the differential parameter;

[0013] calculating the target parameters according to the third fuzzy levels, the first matching membership degrees and the second matching membership degrees.

[0014] In one embodiment, the calculating the target parameters according to the third fuzzy levels, the first matching membership degrees and the second matching membership degrees comprises:

[0015] determining a plurality of third matching membership degrees corresponding to each of the third fuzzy levels according to the first matching membership degrees and the second matching membership degrees;

[0016] for any target parameter, performing weighted average calculation on the fuzzy output values corresponding to the third fuzzy levels of the any target parameter and the corresponding third matching membership degrees to obtain a change amount of the any target parameter;

[0017] obtaining the target parameters according to the change amount of the any target parameter.

[0018] In one embodiment, the obtaining the target parameters according to the change amount of the any target parameter comprises:

[0019] In the case of the current adjustment being the first adjustment, the change amount of any target parameter is weighted and superimposed on the preset initial value corresponding to the target parameter to obtain the target parameter of the current adjustment.

[0020] In the case of the current adjustment not being the first adjustment, the change amount of any target parameter is weighted and superimposed on the target parameter determined in the last adjustment to obtain the target parameter of the current adjustment.

[0021] In one of the embodiments, the valve opening change amount is obtained according to the proportional parameter, the integral parameter and the differential parameter, including:

[0022] Based on the proportional-integral-differential control mode, the proportional parameter, the integral parameter and the differential parameter are taken as input parameters to calculate the valve opening change amount.

[0023] In one of the embodiments, the current internal air pressure data of the air bag is collected in real time, including:

[0024] The current internal air pressure data is obtained by collecting a plurality of pressure sensor detection data in real time through a plurality of pressure sensors; the pressure sensors at least include a sensor located at the top of the air bag, a sensor located at the equatorial plane of the air bag and a sensor located at the bottom of the air bag.

[0025] The current internal air pressure data is obtained according to the plurality of pressure sensor detection data.

[0026] In a second aspect, the application further provides an air pressure fluctuation suppression device for an air bag in a gas storage stage of underwater compressed air energy storage, including:

[0027] An air pressure acquisition module is configured to collect current internal air pressure data of an air bag in a gas storage stage of underwater compressed air energy storage in real time.

[0028] A deviation determination module is configured to determine a current pressure deviation and a current pressure deviation change rate of the air bag according to the current internal air pressure data and preset reference pressure data.

[0029] A parameter acquisition module is configured to determine a proportional parameter, an integral parameter and a differential parameter of a valve opening change amount of an air inlet valve of the air bag according to the current pressure deviation and the current pressure deviation change rate.

[0030] A valve adjustment module is configured to obtain the valve opening change amount according to the proportional parameter, the integral parameter and the differential parameter, and adjust the opening and closing of the air inlet valve of the air bag based on the valve opening change amount to suppress the internal pressure fluctuation of the underwater compressed air energy storage in the gas storage stage of the air bag.

[0031] In a third aspect, the present application also provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the following steps when executing the computer program:

[0032] In the air bag storage phase of the underwater compressed air energy storage, current internal air pressure data of the air bag is collected in real time;

[0033] According to the current internal air pressure data and preset reference pressure data, a current pressure deviation and a current pressure deviation change rate of the air bag are determined;

[0034] According to the current pressure deviation and the current pressure deviation change rate, a proportional parameter, an integral parameter and a differential parameter of a valve opening degree change amount of an air inlet valve of the air bag are determined;

[0035] According to the proportional parameter, the integral parameter and the differential parameter, the valve opening degree change amount is obtained, and the opening and closing of the air inlet valve of the air bag is adjusted based on the valve opening degree change amount, so as to suppress the internal pressure fluctuation of the underwater compressed air energy storage in the air bag storage phase.

[0036] In a fourth aspect, the present application also provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the following steps:

[0037] In the air bag storage phase of the underwater compressed air energy storage, current internal air pressure data of the air bag is collected in real time;

[0038] According to the current internal air pressure data and preset reference pressure data, a current pressure deviation and a current pressure deviation change rate of the air bag are determined;

[0039] According to the current pressure deviation and the current pressure deviation change rate, a proportional parameter, an integral parameter and a differential parameter of a valve opening degree change amount of an air inlet valve of the air bag are determined;

[0040] According to the proportional parameter, the integral parameter and the differential parameter, the valve opening degree change amount is obtained, and the opening and closing of the air inlet valve of the air bag is adjusted based on the valve opening degree change amount, so as to suppress the internal pressure fluctuation of the underwater compressed air energy storage in the air bag storage phase.

[0041] In a fifth aspect, the present application also provides a computer program product comprising a computer program, and the computer program is executed by a processor to implement the following steps:

[0042] In the air bag storage phase of the underwater compressed air energy storage, current internal air pressure data of the air bag is collected in real time;

[0043] According to the current internal air pressure data and preset reference pressure data, a current pressure deviation and a current pressure deviation change rate of the air bag are determined;

[0044] According to the current pressure deviation and the current pressure deviation change rate, a proportional parameter, an integral parameter and a differential parameter of a valve opening degree change amount of an air inlet valve of the air bag are determined;

[0045] According to the proportional parameter, the integral parameter and the differential parameter, the valve opening degree change amount is obtained, and based on the valve opening degree change amount, the opening and closing of the air inlet valve of the air bag is adjusted to suppress the internal pressure fluctuation of the underwater compressed air energy storage during the air bag gas storage stage.

[0046] The method, device, computer device, computer readable storage medium and computer program product for suppressing pressure fluctuation of the air bag in the air storage stage of the underwater compressed air energy storage system, first, in the air storage stage of the underwater compressed air energy storage system, the current internal pressure data of the air bag is collected in real time, the real-time pressure sensor is arranged in the air bag, the current internal pressure data of the air bag can be continuously obtained in the air storage stage, the system has the ability to respond to the state change of the air injection process in real time, which provides basic data support for subsequent adjustment and judgment, helps to discover abnormal fluctuation trend in the early stage of pressure change, and avoids control lag caused by delayed response; then, according to the current internal pressure data and the preset reference pressure data, the current pressure deviation and the current pressure deviation change rate of the air bag are determined, the current pressure data collected in real time is compared with the reference pressure preset according to the installation water depth, the deviation between the current pressure of the air bag and the target pressure can be quantified, and the deviation change rate is calculated combined with the time axis, so that the direction and speed of the pressure fluctuation are accurately reflected, the perception ability of the system to the abnormal change trend is improved, and clear control basis is provided for subsequent adjustment; then, according to the current pressure deviation and the current pressure deviation change rate, the proportional parameter, the integral parameter and the differential parameter of the valve opening degree change amount of the air inlet valve of the air bag are determined, the proportional parameter, the integral parameter and the differential parameter are calculated based on the pressure deviation and the change rate thereof, which helps to build a dynamically adjustable control adjustment model, so that the control strategy can not only respond to sudden changes, but also correct steady-state errors for a long time, and suppress the trend of violent fluctuation, thereby improving the accuracy and robustness of the adjustment process; finally, according to the proportional parameter, the integral parameter and the differential parameter, the valve opening degree change amount is obtained, and based on the valve opening degree change amount, the opening and closing of the air inlet valve of the air bag is adjusted to suppress the internal pressure fluctuation of the underwater compressed air energy storage system in the air storage stage of the air bag. The proportional, integral and differential parameters are used to calculate the valve opening degree change amount, and the air inlet valve is adjusted in real time according to the valve opening degree change amount, which can dynamically match the balance relationship between the air inlet amount and the pressure control demand, effectively avoid the overpressure problem caused by instantaneous excessive air injection, improve the stability of the pressure recovery process, and reduce the impact load on the air bag structure. In the above method, the closed-loop adjustment mechanism of "pressure monitoring-error identification-parameter adjustment-execution control" is constructed, which can suppress the mutation and fluctuation of the internal pressure of the air bag in the air storage process in real time, improve the control ability of the system to the nonlinear pressure dynamics, avoid problems such as material fatigue, sealing failure and structure damage caused by out-of-control pressure, and thus enhance the structural stability and operation safety of the entire underwater compressed air energy storage system in the operation process. BRIEF DESCRIPTION OF DRAWINGS

[0047] In order to make the technical solutions in the embodiments of the present application or the related art clearer, the accompanying drawings needed in the description of the embodiments of the present application or the related art will be briefly introduced. Obviously, the accompanying drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other related drawings can be obtained on the basis of these drawings without creative effort.

[0048] Figure 1 A flowchart of a method for suppressing pressure fluctuation in the air storage stage of the air bag of the underwater compressed air energy storage in an embodiment is shown.

[0049] Figure 2 A flowchart of a method for obtaining target parameters in an embodiment is shown.

[0050] Figure 3 A schematic diagram of an underwater compressed air energy storage device in an embodiment is shown.

[0051] Figure 4 A schematic diagram of the arrangement of pressure sensors in the air bag of an underwater compressed air energy storage device in an embodiment is shown.

[0052] Figure 5 A block diagram of a pressure fluctuation suppression device for the air storage stage of the air bag of the underwater compressed air energy storage in an embodiment is shown.

[0053] Figure 6 An internal structure diagram of a computer device in an embodiment is shown. DETAILED DESCRIPTION

[0054] In order to make the technical solutions in the embodiments of the present application or the related art clearer, the accompanying drawings needed in the description of the embodiments of the present application or the related art will be briefly introduced. Obviously, the accompanying drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other related drawings can be obtained on the basis of these drawings without creative effort.

[0055] In an embodiment, as shown in Figure 1 , a method for suppressing pressure fluctuation in the air storage stage of the air bag of the underwater compressed air energy storage is provided. In this embodiment, the method is applied to a terminal for illustration, and it can be understood that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and can be realized through the interaction of the terminal and the server. The terminal can be, but is not limited to, various personal computers, notebook computers, smart phones and tablet computers, etc. The server can be a standalone physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. In this embodiment, the method includes the following steps:

[0056] In step S101, in the air storage stage of the air bag of the underwater compressed air energy storage, the current internal air pressure data of the air bag is collected in real time.

[0057] The air pressure data refers to the actual pressure value of the gas in a unit volume inside the air bag obtained by the pressure sensor, and is used to reflect the real-time pressure state of the air bag in the gas storage stage. The air bag interior refers to the gas storage space surrounded by the closed flexible air bag shell, and the internal air pressure is comprehensively affected by the gas inlet rate, underwater depth and structural deformation.

[0058] For example, the terminal establishes a communication connection through a plurality of pressure sensors arranged in the air bag, and periodically obtains the current pressure value reported by each sensor. In order to improve the representativeness and stability of the data, the terminal can use weighted average, filtering smoothing or credibility fusion, etc. Real-time processing of the original pressure data of multiple sampling points, so as to obtain the unified air pressure evaluation value of the air bag interior at the current time. The terminal can also configure time stamp and sampling period parameters in the data acquisition module to ensure that the collected air pressure data has traceability and timeliness, and provides basic support for subsequent pressure deviation calculation and adjustment control.

[0059] Step S102, according to the current internal air pressure data and the preset reference pressure data, the current pressure deviation and the current pressure deviation change rate of the air bag are determined.

[0060] The pressure deviation refers to the difference between the actual air pressure value collected in the current air bag and the target reference pressure value, which is used to quantify the deviation between the current gas storage state and the ideal steady state. The pressure deviation change rate refers to the change amplitude of the pressure deviation per unit time, which is used to reflect the speed and direction of the air pressure deviation trend. The preset reference pressure data refers to the target hydrostatic pressure value calculated according to the air bag installation water depth, water density and gravitational acceleration and other physical parameters, which is usually preset in the system initialization stage.

[0061] For example, the terminal compares the current air pressure value obtained by collection with the preset reference pressure data in real time, and obtains the pressure deviation by using the difference calculation method. At the same time, the terminal calls the historical deviation value stored in the last sampling period, and obtains the current pressure deviation change rate by subtracting the current deviation value and dividing by the sampling time interval. In order to improve the response sensitivity and anti-interference ability, the terminal can also perform filtering, boundary limitation or outlier rejection operation on the calculation result, so as to ensure that the obtained pressure deviation and change rate have stability and accuracy, thereby providing reliable input basis for the subsequent control strategy.

[0062] Step S103, according to the current pressure deviation and the current pressure deviation change rate, the proportional parameter, the integral parameter and the differential parameter of the valve opening change amount of the air inlet valve of the air bag are determined.

[0063] The proportional parameter is a coefficient for reflecting the immediate response of the current pressure deviation to the adjustment behavior, and is suitable for rapid correction of transient errors; the integral parameter is an adjustment coefficient for accumulating the influence of historical deviations, which can eliminate the steady-state error caused by long-term small deviations; the derivative parameter is an adjustment coefficient for reflecting the trend of deviation change, which helps to predict and suppress system overshoot or severe fluctuations in advance; the three together constitute the core adjustment factor in the proportional-integral-derivative control strategy, which determines the dynamic response performance of the adjustment output.

[0064] Illustratively, the terminal inputs the obtained pressure deviation and the pressure deviation rate of change as input variables into an inference model constructed based on fuzzy control logic, and matches the corresponding output fuzzy level by searching a preset fuzzy rule base. The terminal further adopts a defuzzification method, such as the barycenter method, to perform weighted calculation on each fuzzy output level and its membership degree, and respectively obtains the proportional parameter change amount, the integral parameter change amount and the derivative parameter change amount. Then, the terminal superimposes the above change amounts with the initial proportional parameter, integral parameter and derivative parameter set by the system by weighting, to determine the corresponding proportional, integral and derivative parameter values in the current control period, for subsequent valve adjustment control.

[0065] In step S104, the valve opening change amount is obtained according to the proportional parameter, the integral parameter and the derivative parameter, and the opening and closing of the air inlet valve of the gas bag is adjusted based on the valve opening change amount, so as to suppress the internal pressure fluctuation of the underwater compressed air energy storage during the gas bag gas storage stage.

[0066] The valve opening change amount refers to the adjustment amplitude of the air inlet valve opening in the current control period compared with the last period, which is used to dynamically control the injection rate of compressed air; the air inlet valve is a control execution device connected between the air source and the gas bag, and its opening size directly affects the change trend of the internal pressure of the gas bag.

[0067] Illustratively, the terminal calculates the valve opening change amount according to the proportional-integral-derivative control algorithm based on the obtained proportional parameter, integral parameter and derivative parameter, comprehensively considers the current pressure deviation, the deviation cumulative amount and the deviation rate of change, and ensures that the adjustment has both immediate response capability and can suppress overshoot and fluctuations. The terminal then applies the calculated valve opening change amount to the control signal output module to drive the electrically controlled or pneumatic valve arranged at the bottom of the gas bag to perform opening and closing actions, thereby dynamically adjusting the air flow into the gas bag. Through the above adjustment process, the terminal can realize closed-loop control of the internal pressure during the gas storage stage, reduce the system risk caused by nonlinear pressurization, effectively suppress the problems of structural fatigue or sealing failure caused by pressure fluctuation, and enhance the stability and safety of system operation.

[0068] Further, the terminal can further perform feature extraction on the proportional parameter, the integral parameter and the differential parameter through a feature extraction model (such as a convolutional neural network model) to obtain a first feature vector corresponding to the proportional parameter, a second feature vector corresponding to the integral parameter, and a third feature vector corresponding to the differential parameter; then the first feature vector, the second feature vector and the third feature vector are input into an attention mechanism model, and the first weight corresponding to the first feature vector, the second weight corresponding to the second feature vector and the third weight corresponding to the third feature vector are determined through the attention mechanism model; then the first feature vector, the second feature vector and the third feature vector are fused (such as weighted summation processing) according to the first weight, the second weight and the third weight to obtain a fused feature vector; then the fused feature vector is input into a pre-trained first valve opening change amount prediction model (such as a neural network model, a deep learning model, etc.) to obtain a plurality of predicted valve opening change amounts and a predicted probability corresponding to each predicted valve opening change amount; then the predicted valve opening change amount with the maximum predicted probability is selected from the plurality of predicted valve opening change amounts as the first valve opening change amount. Then, the terminal inputs the fused feature vector into a pre-trained second valve opening change amount prediction model (such as a machine learning model, an AI large model, etc.), and performs a series of prediction processing on the fused feature vector through the pre-trained second valve opening change amount prediction model to obtain a second valve opening change amount; wherein the model structures of the first valve opening change amount prediction model and the second valve opening change amount prediction model are different; finally, the first valve opening change amount and the second valve opening change amount are fused (such as weighted summation processing) according to the first model weight corresponding to the first valve opening change amount prediction model and the second model weight corresponding to the second valve opening change amount prediction model to obtain a fused valve opening change amount as the valve opening change amount.

[0069] In the aforementioned method for suppressing pressure fluctuations during the gas storage stage of underwater compressed air energy storage, firstly, during the gas storage stage, the current internal pressure data of the gasbag is collected in real time. By arranging a real-time pressure sensor inside the gasbag, the current internal pressure data can be continuously acquired during the gas storage stage, ensuring that the system has an immediate response capability to changes in the state of the gas injection process. This provides basic data support for subsequent adjustment and judgment, and helps to detect abnormal fluctuation trends in the early stages of pressure changes, avoiding control lag due to delayed response. Next, based on the current internal pressure data and preset reference pressure data, the current pressure deviation and the rate of change of the current pressure deviation of the gasbag are determined. By comparing the real-time collected current pressure data with the preset reference pressure based on the installation water depth, the deviation between the current pressure of the gasbag and the target pressure can be quantified, and the rate of change of the deviation can be calculated in conjunction with the time axis, thereby accurately reflecting the direction and speed of pressure fluctuations, improving the system's ability to perceive abnormal change trends, and providing a clear control basis for subsequent adjustments. Then, based on By determining the proportional, integral, and derivative parameters of the valve opening change of the air intake valve used to adjust the airbag, based on the current pressure deviation and its rate of change, it is possible to construct a dynamically adjustable control model. This allows the control strategy to not only respond instantly to sudden changes but also correct steady-state errors over the long term and suppress drastic fluctuations, thus improving the accuracy and robustness of the adjustment process. Finally, based on the proportional, integral, and derivative parameters, the valve opening change is obtained. Based on this change, the opening and closing of the air intake valve of the airbag are adjusted to suppress internal pressure fluctuations that occur during the airbag's storage phase in underwater compressed air storage. By using the proportional, integral, and derivative parameters to calculate the valve opening change and adjusting the air intake valve opening in real time, the balance between the air intake volume and pressure control requirements can be dynamically matched, effectively avoiding overpressure problems caused by instantaneous over-injection, while improving the smoothness of the pressure recovery process and reducing the impact load on the airbag structure. In the above method, by constructing a closed-loop regulation mechanism of "pressure monitoring - error identification - parameter adjustment - execution control", it is possible to suppress sudden changes and fluctuations in the internal pressure of the airbag in real time during the gas storage process, improve the system's ability to regulate nonlinear pressure dynamics, and avoid problems such as material fatigue, sealing failure and structural damage caused by pressure runaway. This enhances the structural stability and operational safety of the entire underwater compressed air energy storage system during operation.

[0070] In one exemplary embodiment, such as Figure 2 As shown, step S103 above, which determines the proportional, integral, and derivative parameters of the valve opening change of the air intake valve used to adjust the airbag based on the current pressure deviation and the rate of change of the current pressure deviation, can also be achieved through the following steps:

[0071] Step S201, according to the preset fuzzy grade membership information, determine a plurality of first fuzzy grades corresponding to the current pressure deviation and the first matching membership degrees corresponding to each first fuzzy grade, and determine a plurality of second fuzzy grades corresponding to the current pressure deviation rate and the second matching membership degrees corresponding to each second fuzzy grade;

[0072] Step S202, according to each first fuzzy grade and each second fuzzy grade, respectively determine a plurality of third fuzzy grades corresponding to each target parameter; the target parameter is a proportional parameter, an integral parameter and a differential parameter;

[0073] Step S203, according to each third fuzzy grade, the first matching membership degree and the second matching membership degree, calculate the target parameter.

[0074] Among them, the first fuzzy grade refers to the language value set divided by the pressure deviation according to the preset membership function, such as "negative large", "negative medium", "zero", "positive small", etc.; the second fuzzy grade refers to the language grade set divided by the pressure deviation rate according to the same principle; the third fuzzy grade refers to the output grade obtained by combining and mapping the first fuzzy grade and the second fuzzy grade through the fuzzy rule table, which is used to represent the fuzzy output state of the target parameter under the input condition; the matching membership degree refers to the matching strength between the current value and the fuzzy grade, and the value range is usually between 0 and 1.

[0075] Exemplarily, the terminal first fuzzes the current pressure deviation into a plurality of first fuzzy grades based on the preset triangular or trapezoidal membership function, each grade corresponding to a first matching membership degree; similarly, the current pressure deviation rate is fuzzed into a plurality of second fuzzy grades, each grade corresponding to a second matching membership degree. The terminal combines and maps each set of first fuzzy grades and second fuzzy grades according to the fuzzy rule library (for example, the fuzzy grade matching table shown in Table 1), and determines a third fuzzy grade set for the proportional parameter, the integral parameter and the differential parameter. Subsequently, the terminal calculates the activation degree of each active rule by multiplying the first and second matching membership degrees of each active rule, as the third matching membership degree. The terminal further calculates the membership function center value corresponding to each third fuzzy grade and its third matching membership degree by using weighted average or barycenter method, and finally obtains the change amount of the proportional parameter, the integral parameter and the differential parameter, respectively, to provide input basis for subsequent control link.

[0076] Table 1 Fuzzy grade matching table

[0077]

[0078] Among them, NB, NM, NS, Z, PS, PM and PB are negative large, negative medium, negative small, zero, positive small, positive medium and positive large, respectively.

[0079] In this embodiment, based on the current pressure deviation and the pressure deviation change rate, the fuzzy logic reasoning is combined with the weighted defuzzification method to dynamically calculate the adjustment amount of the proportional parameter, the integral parameter and the differential parameter. Through fuzzy level matching and membership weight, the nonlinear change characteristics of the air bag internal pressure are accurately reflected, and the smooth and effective adjustment of the parameters is realized. With the real-time adjustment of the proportional, integral and differential parameters, the intake valve opening change amount is accurately controlled, the overshoot and fluctuation of the air bag internal pressure during the gas storage stage are effectively suppressed, the fatigue and sealing failure risk of the air bag material is slowed down, and the operation stability and safety performance of the underwater compressed air energy storage system are improved.

[0080] In one exemplary embodiment, the step S203 calculates the target parameter according to each third fuzzy level, the first matching membership degree and the second matching membership degree, and further comprises: determining the third matching membership degree corresponding to each third fuzzy level according to the first matching membership degree and the second matching membership degree; for any target parameter, performing weighted average calculation on the fuzzy output value corresponding to each third fuzzy level of the target parameter and the corresponding third matching membership degree to obtain the change amount of the target parameter; and obtaining the target parameter according to the change amount of the target parameter.

[0081] Among them, the first matching membership degree and the second matching membership degree respectively represent the matching degree of the current pressure deviation and the pressure deviation change rate corresponding to the respective fuzzy level, and the value range is 0 to 1; the third fuzzy level is the output fuzzy level obtained by combining the first fuzzy level and the second fuzzy level according to the fuzzy rule base, and is used to represent the fuzzy state of the proportional parameter, the integral parameter and the differential parameter; and the third matching membership degree is obtained by multiplying the corresponding first matching membership degree and the second matching membership degree, and is used to reflect the activation intensity of the output fuzzy level.

[0082] The fuzzy output value corresponding to the third fuzzy level is the preset numerical representative value corresponding to the fuzzy output level (i.e. the third fuzzy level) set for the target parameter such as the proportional parameter, the integral parameter or the differential parameter. The value is usually the center value of the membership function, which is used to convert the language variable (such as “negative medium”, “positive small”, “positive large” and the like) into a specific numerical value in the defuzzification process. For example, if the fuzzy output level is “positive small (PS)”, the corresponding fuzzy output value can be set to +0.2; if it is “negative medium (NM)”, the corresponding fuzzy output value can be set to -0.4. The output value is multiplied by the third matching membership degree in the weighted average calculation to obtain the change amount of the target parameter.

[0083] Exemplarily, the terminal first fuzzifies the current pressure deviation and the pressure deviation change rate respectively to obtain a plurality of first and second fuzzy grades and their matching membership degrees. Then, according to a preset fuzzy rule table, the third fuzzy grades of the proportional parameter, the integral parameter and the differential parameter are determined in combination with all combinations of the two fuzzy grades. The terminal then calculates the third matching membership degrees corresponding to each rule as the activation degrees of the rule. Subsequently, for each target parameter, the terminal performs weighted average (the barycenter method) according to the activation degrees and the corresponding membership function center values to realize defuzzification, and obtains the specific change amount of the proportional parameter, the integral parameter and the differential parameter.

[0084] In a specific example, taking the fuzzy reasoning of the proportional parameter as an example, it is assumed that the current pressure deviation is 0.3, which belongs to the fuzzy grades “positive small (PS)” and “positive medium (PM)”, and the corresponding first matching membership degrees are 0.7 and 0.3 respectively; referring to Table 1 above, the pressure deviation change rate is -0.2, which belongs to the fuzzy grades “negative small (NS)” and “zero (Z)”, and the corresponding second matching membership degrees are 0.6 and 0.4 respectively. Then, the fuzzy rule combination relationship is: “positive small-negative small” is mapped to the proportional parameter fuzzy output grade “zero” with a matching membership degree of 0.7*0.6=0.42; “positive small-zero” is mapped to “positive small” with a matching membership degree of 0.7*0.4=0.28; “positive medium-negative small” is mapped to “positive small” with a matching membership degree of 0.3*0.6=0.18; “positive medium-zero” is mapped to “positive medium” with a matching membership degree of 0.3*0.4=0.12.

[0085] Then, the precise change amount of the target parameter is calculated by using the barycenter method to defuzzify:

[0086]

[0087] where Δu is the change amount of the target parameter u, is the third matching membership degree of the i th third fuzzy grade, is the fuzzy output value corresponding to the i th third fuzzy grade.

[0088] In this embodiment, by performing multi-level fuzzy reasoning and weighted defuzzification on the pressure deviation and its change rate, the adjustment amount of the proportional, integral and differential parameters is dynamically calculated, and the real-time and accurate adjustment of the control parameters is realized. The transient changes and trend information of the pressure are effectively fused, and the response ability and suppression effect of the control system on the complex nonlinear pressure fluctuations in the air bag are improved. With the help of the dynamically adjusted control parameters, the opening change of the air inlet valve can be accurately adjusted, the pressure overshoot and oscillation phenomenon can be significantly reduced, the stability and sealing performance of the air bag structure are improved, and the overall safety and operation reliability of the underwater compressed air energy storage system are enhanced.

[0089] In an exemplary embodiment, the target parameter is obtained according to the change amount of any target parameter, and further comprising: in the case of the current adjustment being the first adjustment, weighting and superimposing the change amount of any target parameter and the preset initial value corresponding to the target parameter to obtain the target parameter of the current adjustment; in the case of the current adjustment not being the first adjustment, weighting and superimposing the change amount of any target parameter and the target parameter determined by the last adjustment to obtain the target parameter of the current adjustment.

[0090] In the case of the current adjustment being the first adjustment, the preset initial value refers to the proportion parameter, the integral parameter or the differential parameter initially set by the system, which is used as the starting reference for the adjustment of the controller parameter; in the case of the current adjustment not being the first adjustment, the target parameter determined by the last adjustment refers to the parameter value calculated and updated in the previous control cycle, which is used to ensure the continuity and stability of the parameter adjustment.

[0091] Exemplarily, in the first control cycle, the terminal first obtains the change amount of the corresponding target parameter, and linearly superimposes it with the preset initial value of the target parameter according to a predetermined weighting proportion to form the target parameter of the current control cycle. This method ensures that the control parameter starts from a reasonable initial reference, avoiding excessive initial adjustment amplitude that may cause system oscillation. In the subsequent control cycle of the non-first adjustment, the terminal linearly superimposes the change amount calculated in the current cycle with the target parameter value calculated in the last control cycle based on the same weighting proportion. This progressive updating method makes the parameter adjustment process smoother, reduces the instability risk caused by sudden changes, and can quickly respond to system state changes. The terminal can adjust the weighting coefficient according to system operation feedback and control target, and flexibly balance the stability and response speed of the parameter adjustment. In addition, the terminal can also set a threshold limit based on the parameter change trend to avoid adjusting the parameter beyond a reasonable range, ensuring the safety and reliability of the airbag pressure control.

[0092] In a specific example,

[0093]

[0094] In the case of the current adjustment being the first adjustment, the preset initial value refers to the proportion parameter, the integral parameter or the differential parameter initially set by the system, which is used as the starting reference for the adjustment of the controller parameter; in the case of the current adjustment not being the first adjustment, the target parameter determined by the last adjustment refers to the parameter value calculated and updated in the previous control cycle, which is used to ensure the continuity and stability of the parameter adjustment. 、 、 are the proportion parameter, the integral parameter and the differential parameter of the current adjustment, respectively. 、 、 are the preset initial value / the parameter determined by the last adjustment corresponding to the proportion parameter, the integral parameter and the differential parameter, respectively. 、 、 are the change amount corresponding to the proportion parameter, the integral parameter and the differential parameter, respectively. 、 , are respectively proportional parameter, integral parameter, and differential parameter corresponding weighting coefficients.

[0095] In this embodiment, by weighting and superimposing the target parameter variation and the preset initial value or the previous adjustment parameter in the first and subsequent adjustment processes, the smooth updating and dynamic adaptive adjustment of the control parameters are realized. The mutation of the control parameters is effectively avoided, and the stability and robustness of the system response are improved. By accurately adjusting the proportional, integral, and differential parameters, the internal pressure of the gas bag and its variation trend can be more accurately reflected, and the sensitivity and accuracy of the intake valve opening degree adjustment are enhanced. Finally, the instantaneous overshoot and fluctuation of the internal pressure of the gas bag during the gas storage stage are significantly inhibited, and the safety of the gas bag structure and the overall operation reliability of the underwater compressed air energy storage system are improved.

[0096] In an exemplary embodiment, the step S104 obtains the valve opening degree variation according to the proportional parameter, the integral parameter, and the differential parameter, and further comprises: based on the proportional-integral-differential control mode, taking the proportional parameter, the integral parameter, and the differential parameter as input parameters, calculating to obtain the valve opening degree variation.

[0097] Illustratively, in each control period, the terminal inputs the proportional, integral, and differential parameters obtained in the previous period to the PID (proportional-integral-differential) control calculation module. The module first multiplies the real-time pressure deviation, the cumulative deviation, and the deviation rate of change by the corresponding parameters to calculate the proportional term, the integral term, and the differential term, and then sums the three to obtain the valve opening degree variation in the current control period. The terminal controls the intake valve at the bottom of the gas bag according to the calculation result to adjust the valve opening degree in real time, while ensuring the control sensitivity and suppressing the pressure overshoot. The terminal can also set the upper and lower limit ranges of the valve opening degree variation to avoid excessive adjustment interference on the system stability.

[0098] In this embodiment, the proportional-integral-differential control mode combined with real-time adjustment parameters can realize accurate dynamic control of the valve opening degree, improve the system response performance, suppress the instantaneous overpressure and periodic fluctuation caused by rapid gas injection during the gas storage process, and ensure the stability and safety of the underwater compressed air energy storage system.

[0099] In an exemplary embodiment, the step S101 collects the current internal pressure data of the gas bag in real time, and further comprises: collecting a plurality of pressure sensor detection data in real time through a plurality of pressure sensors; the pressure sensors at least include a sensor located at the top of the gas bag, a sensor located at the equatorial plane of the gas bag, and a sensor located at the bottom of the gas bag; and obtaining the current internal pressure data according to the plurality of pressure sensor detection data.

[0100] Wherein, the current internal air pressure data refers to the calculation result reflecting the overall pressure state inside the air bag, as the input basis for subsequent deviation judgment and control adjustment. The pressure sensor detection data refers to the instantaneous pressure values at different spatial positions of the air bag collected by each distributed sensor; the top sensor mainly senses the maximum pressure at the gas accumulation site, the equatorial plane sensor reflects the circumferential pressure distribution in the middle, and the bottom sensor monitors the instantaneous pressure disturbance near the air inlet. The three types of sensors together constitute a spatial pressure detection network.

[0101] Exemplarily, the terminal establishes a communication connection with the multiple pressure sensors installed on the air bag structure through the data acquisition interface, and obtains the pressure data collected by the sensors in each control period. The top sensor is arranged at the highest point of the air bag to reflect the local high pressure after gas accumulation; the equatorial plane sensor is arranged at multiple measuring points in the horizontal direction of the air bag, for example, four measuring points are arranged at intervals of 90° to collect circumferential middle pressure; and the bottom sensor is installed near the air inlet valve to detect the pressure fluctuation in the initial stage of air injection.

[0102] Exemplarily, after the terminal receives the data of various pressure sensors, different processing strategies can be selected according to specific application scenarios, such as directly taking the arithmetic mean, using a weighted average method (different weights are given to the top, middle and bottom respectively), or using a maximum-minimum envelope strategy for data fusion. The weighting coefficient can be flexibly set according to the internal pressure distribution characteristics of the air bag, the sensor distribution density or the historical data fluctuation to improve the representativeness and stability of the current internal air pressure data.

[0103] In a specific example, the current pressure deviation is ; wherein, , is the internal air pressure data (the average value can be taken or weighted according to the position) of the current time t collected by the pressure sensors at the top, middle and bottom of the air bag in real time; is the preset reference pressure data, which can be determined based on the density p of water, the acceleration of gravity g, the depth h of the air bag under water, and the atmospheric pressure of the sea area where the air bag is located.

[0104] The current pressure deviation change rate is:

[0105]

[0106] Wherein, Δt is the sampling time interval, which is determined by the real-time requirement of the system.

[0107] In this embodiment, through the multi-point pressure sensor layout and fusion calculation strategy, the internal space pressure state of the air bag can be comprehensively reflected, the accuracy and timeliness of the current internal air pressure data can be significantly improved, local distortion caused by single-point sampling can be avoided, reliable data support can be provided for subsequent pressure deviation identification and air intake adjustment control, and the overall regulation and control precision and stable operation ability of the system are enhanced.

[0108] In another exemplary embodiment, as shown in Figure 3 , there is provided an underwater compressed air energy storage device employing the above-mentioned air bag pressure fluctuation suppression method during the air storage stage of the underwater compressed air energy storage, and the device establishes the following process:

[0109] 1) Air bag arrangement:

[0110] The air bag is made of multi-layer composite flexible material, has high pressure resistance and low permeability, is designed in the shape of a water droplet air bag, and has reinforcing ribs installed around the air bag to resist underwater pressure gradient. The air bag is fixed to the seabed pre-set base by high-strength anchor chain, and the connection between the anchor chain and the air bag uses a titanium alloy flange plate to avoid stress concentration.

[0111] 2) Sensor arrangement:

[0112] The system should use sensors with high precision, strong anti-interference ability and high resolution. They are installed at the top, middle and bottom of the air bag to make the pressure data more accurate, as shown in Figure 4 .

[0113] Top sensor: located at the highest point of the air bag, monitoring the dynamic pressure of the gas accumulation area during inflation, the sensor is embedded in the inner wall of the air bag.

[0114] Middle sensor: evenly arranged at 4 measuring points along the equatorial plane of the air bag with a spacing of 90°, monitoring the circumferential pressure distribution, the sensor is fixed on the outside of the reinforcing rib by a clamp.

[0115] Bottom sensor: installed near the valve at the bottom of the air bag, monitoring the local pressure jump when air enters the air bag, the sensor is welded to the air bag base.

[0116] 3) Valve arrangement:

[0117] An adjustable pneumatic valve is used, the valve body material has the property of resisting seawater corrosion, and has high precision and response speed. The valve is installed at the bottom of the air bag, and the air inlet valve opening control signal is generated by a fuzzy PID control algorithm.

[0118] In this embodiment, by reasonable arrangement of the air bag, pressure sensor and air inlet valve, an underwater compressed air energy storage device with stable structure and sensitive response is constructed. The multi-layer composite flexible air bag combined with the reinforcing rib design effectively enhances the pressure resistance and durability; the multi-point distributed pressure sensor realizes accurate monitoring of the internal pressure of the air bag; the adjustable pneumatic valve cooperates with the fuzzy PID (proportion-integral-differential) control algorithm to improve the accuracy and real-time performance of the air inlet regulation. The device improves the reliability and safety of the pressure control during the gas storage stage and enhances the stable operation ability of the system in complex underwater environment.

[0119] It should be understood that, although each step in the flowchart involved in each embodiment as described above is shown in sequence according to the arrow, these steps are not necessarily executed in the order indicated by the arrow. Unless otherwise specified herein, there is no strict order limitation for the execution of these steps, and these steps can be executed in other orders. Moreover, at least part of the steps in the flowchart involved in each embodiment as described above can include multiple steps or stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily sequential, but can be alternately or alternately executed with at least part of other steps or steps or stages in other steps.

[0120] Based on the same inventive concept, the embodiments of the present application also provide an underwater compressed air energy storage air bag gas storage stage pressure fluctuation suppression device for implementing the above-mentioned underwater compressed air energy storage air bag gas storage stage pressure fluctuation suppression method. The problem-solving implementation scheme provided by the device is similar to the implementation scheme described in the above method, so the specific limitations in one or more underwater compressed air energy storage air bag gas storage stage pressure fluctuation suppression device embodiments provided below can be referred to the limitations of the underwater compressed air energy storage air bag gas storage stage pressure fluctuation suppression method described above, which will not be repeated here.

[0121] In one exemplary embodiment, as shown in Figure 5 An underwater compressed air energy storage air bag gas storage stage pressure fluctuation suppression device is provided, comprising: a gas pressure acquisition module 501, a deviation determination module 502, a parameter acquisition module 503, and a valve adjustment module 504, wherein:

[0122] The gas pressure acquisition module 501 is configured to acquire real-time current internal gas pressure data of the air bag during the gas storage stage of the underwater compressed air energy storage air bag.

[0123] The deviation determination module 502 is configured to determine the current pressure deviation and the current pressure deviation change rate of the air bag according to the current internal gas pressure data and the preset reference pressure data.

[0124] The parameter obtaining module 503 is configured to determine a proportional parameter, an integral parameter and a differential parameter for adjusting a valve opening change amount of an air inlet valve of the air bag according to the current pressure deviation and the current pressure deviation change rate.

[0125] The valve adjusting module 504 is configured to obtain the valve opening change amount according to the proportional parameter, the integral parameter and the differential parameter, and adjust the opening and closing of the air inlet valve of the air bag based on the valve opening change amount to suppress the internal pressure fluctuation of the underwater compressed air energy storage during the air bag gas storage stage.

[0126] In one of the embodiments, the parameter obtaining module 503 is further configured to determine a plurality of first fuzzy levels corresponding to the current pressure deviation and a plurality of first matching membership degrees corresponding to the first fuzzy levels, and determine a plurality of second fuzzy levels corresponding to the current pressure deviation change rate and a plurality of second matching membership degrees corresponding to the second fuzzy levels according to the preset fuzzy level membership information; determine a plurality of third fuzzy levels corresponding to each target parameter according to the first fuzzy levels and the second fuzzy levels; the target parameter is the proportional parameter, the integral parameter and the differential parameter; and calculate the target parameter according to the third fuzzy levels, the first matching membership degrees and the second matching membership degrees.

[0127] In one of the embodiments, the parameter obtaining module 503 is further configured to determine a plurality of third matching membership degrees corresponding to the third fuzzy levels according to the first matching membership degrees and the second matching membership degrees; and obtain a change amount of any target parameter by performing weighted average calculation on fuzzy output values corresponding to the third fuzzy levels of the target parameter and the corresponding third matching membership degrees; and obtain the target parameter according to the change amount of the target parameter.

[0128] In one of the embodiments, the parameter obtaining module 503 is further configured to, in a case where the current adjustment is the first adjustment, perform weighted superposition on the change amount of any target parameter and a preset initial value corresponding to the target parameter to obtain the target parameter of the current adjustment; and in a case where the current adjustment is not the first adjustment, perform weighted superposition on the change amount of any target parameter and the target parameter determined in the last adjustment to obtain the target parameter of the current adjustment.

[0129] In one of the embodiments, the valve adjusting module 504 is further configured to calculate the valve opening change amount based on the proportional-integral-differential control mode and taking the proportional parameter, the integral parameter and the differential parameter as input parameters.

[0130] In one of the embodiments, the air pressure acquisition module 501 is further configured to acquire a plurality of pressure sensor detection data in real time through a plurality of pressure sensors, wherein the pressure sensors include at least a sensor located at the top of the air bag, a sensor located at the equatorial plane of the air bag, and a sensor located at the bottom of the air bag; and obtain the current internal air pressure data according to the plurality of pressure sensor detection data.

[0131] The modules in the air bag pressure fluctuation suppression device in the air storage stage of the underwater compressed air energy storage can be implemented by software, hardware, or a combination thereof. The modules can be embedded in or independent of the processor in the computer device in hardware form, or stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to the modules.

[0132] In one example embodiment, a computer device, which can be a terminal, is provided, and an internal structure diagram of the computer device can be as shown in Figure 6 The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, the memory, and the input / output interface are connected through a system bus, and the communication interface, the display unit, and the input device are connected to the system bus through the input / output interface. The processor of the computer device is configured 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 and a computer program. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The input / output interface of the computer device is configured to exchange information between the processor and external devices. The communication interface of the computer device is configured to perform wired or wireless communication with external terminals. The wireless communication can be achieved through WIFI, mobile cellular network, near field communication (NFC), or other technologies. The computer program is executed by the processor to implement an air bag pressure fluctuation suppression method in the air storage stage of the underwater compressed air energy storage. The display unit of the computer device is configured to form a visually visible picture, which can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or a key, trackball, or touchpad arranged on the shell of the computer device. The input device can also be an external keyboard, touchpad, or mouse, etc.

[0133] Those skilled in the art can understand that Figure 6The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0134] In one embodiment, a computer device is also provided, including a memory and a processor, the memory storing a computer program, and the processor implementing the steps in the above method embodiments when executing the computer program.

[0135] In one embodiment, a computer readable storage medium is provided, storing a computer program, and the computer program implements the steps in the above method embodiments when executed by a processor.

[0136] In one embodiment, a computer program product is provided, including a computer program, and the computer program implements the steps in the above method embodiments when executed by a processor.

[0137] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties, and the collection, use and processing of related data need to comply with relevant regulations.

[0138] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the above-mentioned embodiment methods. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. The non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. The volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, the RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., without being limited thereto.

[0139] The technical features of the above embodiments can be combined in any manner. To make the description concise, not all possible combinations of the technical features in the above embodiments are described, but as long as the combinations of the technical features do not exist contradictions, they should be considered as the scope of the present application.

[0140] The above-described embodiments are merely illustrative of several embodiments of the present application, which are described in more detail and in a specific manner, but should not be construed as limiting the scope of the patent of the present application. It should be noted that, for those of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A method for suppressing pressure fluctuation in the air storage stage of an underwater compressed air energy storage airbag, characterized by, The method comprises: In the air bag storage phase of the underwater compressed air energy storage, current internal air pressure data of the air bag is collected in real time; According to the current internal air pressure data and preset reference pressure data, a current pressure deviation and a current pressure deviation change rate of the air bag are determined; According to the current pressure deviation and the current pressure deviation change rate, a proportional parameter, an integral parameter and a differential parameter of a valve opening degree change amount of an air inlet valve of the air bag are determined; According to the proportional parameter, the integral parameter and the differential parameter, the valve opening degree change amount is obtained, and the opening and closing of the air inlet valve of the air bag are adjusted based on the valve opening degree change amount, so as to suppress the internal pressure fluctuation of the underwater compressed air energy storage in the air bag storage phase.

2. The method of claim 1, wherein, The proportional parameter, the integral parameter and the differential parameter of the valve opening degree change amount of the air inlet valve of the air bag are determined according to the current pressure deviation and the current pressure deviation change rate, comprising: According to the preset fuzzy level membership information, a plurality of first fuzzy levels corresponding to the current pressure deviation and a first matching membership degree corresponding to each first fuzzy level are determined, and a plurality of second fuzzy levels corresponding to the current pressure deviation change rate and a second matching membership degree corresponding to each second fuzzy level are determined; According to the first fuzzy levels and the second fuzzy levels, a plurality of third fuzzy levels corresponding to each target parameter are determined; the target parameter is the proportional parameter, the integral parameter and the differential parameter; The target parameter is calculated according to the third fuzzy levels, the first matching membership degree and the second matching membership degree.

3. The method of claim 2, wherein, The target parameter is calculated according to the third fuzzy levels, the first matching membership degree and the second matching membership degree, comprising: According to the first matching membership degree and the second matching membership degree, a third matching membership degree corresponding to each third fuzzy level is determined; For any target parameter, the fuzzy output value corresponding to each third fuzzy level of the any target parameter is weighted and averaged with the corresponding third matching membership degree to obtain the change amount of the any target parameter; The target parameter is obtained according to the change amount of the any target parameter.

4. The method of claim 3, wherein, The target parameter is obtained according to the change amount of the any target parameter, comprising: In the case of first adjustment, the change amount of the any target parameter is weighted and superimposed with the preset initial value corresponding to the any target parameter to obtain the target parameter of the current adjustment; In the case of non-first adjustment, the change amount of the any target parameter is weighted and superimposed with the target parameter determined in the last adjustment to obtain the target parameter of the current adjustment.

5. The method of claim 1, wherein, The valve opening degree change amount is obtained based on the proportional parameter, the integral parameter and the differential parameter, comprising: The proportional parameter, the integral parameter and the differential parameter are taken as input parameters based on the proportional-integral-differential control mode to calculate the valve opening degree change amount.

6. The method according to any one of claims 1 to 5, characterized in that, The current internal air pressure data of the air bag is collected in real time, comprising: The current internal air pressure data of the air bag is acquired in real time by a plurality of pressure sensors, wherein the pressure sensors at least include a sensor at the top of the air bag, a sensor at the equatorial plane of the air bag and a sensor at the bottom of the air bag. The current internal air pressure data of the air bag is acquired in real time by a plurality of pressure sensors, wherein the pressure sensors at least include a sensor at the top of the air bag, a sensor at the equatorial plane of the air bag and a sensor at the bottom of the air bag.

7. An airbag pressure fluctuation suppression device for the air storage stage of an underwater compressed air energy storage system, characterized by, The device comprises: An air pressure acquisition module is configured to acquire the current internal air pressure data of the air bag in real time in the air storage stage of the underwater compressed air energy storage air bag. A deviation determination module is configured to determine the current pressure deviation and the current pressure deviation change rate of the air bag according to the current internal air pressure data and preset reference pressure data. A parameter acquisition module is configured to determine the proportional parameter, the integral parameter and the differential parameter of the valve opening degree change amount of the air inlet valve of the air bag according to the current pressure deviation and the current pressure deviation change rate. A valve adjustment module is configured to obtain the valve opening degree change amount according to the proportional parameter, the integral parameter and the differential parameter, and adjust the opening and closing of the air inlet valve of the air bag based on the valve opening degree change amount, so as to suppress the internal pressure fluctuation of the underwater compressed air energy storage in the air storage stage of the air bag.

8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that, The processor executes the computer program to realize the steps of the method in any one of claims 1 to 6.

9. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to realize the steps of the method in any one of claims 1 to 6.

10. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to realize the steps of the method in any one of claims 1 to 6.

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