An Optimization Method for Power Generation from Solid Oxide Fuel Cells Utilizing Associated Petroleum Gas

Abstract

This invention relates to the field of fuel cell technology, specifically to an optimization method for power generation using solid oxide fuel cells (SOFCs) with associated petroleum gas. The method includes: real-time acquisition of SOFC power generation system parameters; monitoring of SOFC pump station status information; creation of a cloud database; storage, processing, and feedback of SOFC power generation system parameters and pump station status information using the cloud database; establishment of a database of associated petroleum gas composition variation patterns; adoption of corresponding gas reforming solutions using AI technology; and timely feedback and adjustment of process parameters to ensure high-efficiency operation of the SOFC power generation system. This invention assesses the operational risks of the SOFC power generation system through the acquisition, comparison, and control of its power generation parameters and pump station status information, thereby enabling intelligent control of the SOFC power generation system based on the assessment results, ensuring its normal, efficient, and stable operation.

Description

Technical Field

[0001] This invention relates to the field of fuel cell technology, and more specifically to an optimized method for power generation using solid oxide fuel cells with associated petroleum gas. Background Technology

[0002] Associated petroleum gas is a combustible gas produced during oil extraction. Previously, it was often vented and burned, which was both wasteful and polluting. Solid oxide fuel cell technology can efficiently convert the chemical energy of fuel into electrical energy. Combining these two technologies can effectively utilize associated petroleum gas, achieving efficient and clean energy use, reducing carbon emissions, and providing a new path for sustainable development in the energy sector.

[0003] Patent application number 201711212943.0 discloses a power generation system for a solid oxide fuel cell, including a CH supply unit, a solid oxide fuel cell A, a solid oxide fuel cell B, an air supply unit, and a heating and insulation unit. The CH supply unit is connected to the anode inlet of the solid oxide fuel cell A; the anode outlet of the solid oxide fuel cell A is connected to the anode inlet of the solid oxide fuel cell B; the solid oxide fuel cell A and the solid oxide fuel cell B are placed inside the heating and insulation unit; the cathode inlets of the solid oxide fuel cell A and the solid oxide fuel cell B are both connected to the air supply unit; the solid oxide fuel cell A is used for the oxidative reforming of CH fuel and power generation; the solid oxide fuel cell B is used for power generation using the reformed gas generated by the oxidative reforming of the solid oxide fuel cell A as raw material; a combustion chamber is also included, which is connected to the anode outlet of the solid oxide fuel cell B; the solid oxide fuel cell A and the solid oxide fuel cell B achieve material and energy coupling.

[0004] The application aims to address the following problem: "Due to the high operating temperature of SOFCs (800-1000℃), directly using CH4 as SOFC fuel for power generation faces the problem of SOFC performance degradation caused by methane cracking and carbon deposition. Therefore, CH4 needs to be reformed before being used as SOFC fuel for power generation. Currently, commonly used reforming methods include external reforming and internal reforming. However, the traditional external reforming mode is complex, involves numerous equipment, has large losses during the reforming process, and is expensive. The traditional internal reforming mode requires the introduction of a large amount of water vapor to reform CH4 in the anode chamber. The presence of a large amount of water vapor leads to a decrease in SOFC voltage and operating efficiency. Furthermore, the mismatch between the reforming reaction and the electrochemical reaction rate results in a large temperature gradient on the anode side, which easily leads to SOFC electrode delamination and battery performance degradation."

[0005] However, in the current process of generating electricity using associated petroleum gas, solid oxide fuel cells (SOFCs) often supply fuel at a specified pumping power. This approach makes it unsuitable for scenarios where SOFCs are the primary source of electricity to experience large fluctuations in power consumption, thus leading to a shortage of electricity in such scenarios.

[0006] Therefore, this invention proposes an optimized method for power generation using solid oxide fuel cells with associated petroleum gas. Summary of the Invention

[0007] In view of the above-mentioned shortcomings of the existing technology, the present invention provides an optimized method for power generation of solid oxide fuel cells using associated petroleum gas, which solves the technical problems mentioned in the background.

[0008] To achieve the above objectives, the present invention provides the following technical solution:

[0009] An optimization method for power generation using solid oxide fuel cells with associated petroleum gas includes:

[0010] Real-time acquisition of SOFC power generation system parameters, synchronous monitoring of SOFC power generation system pump station status information, creation of cloud database, and storage of SOFC power generation system parameters and pump station status information in the cloud database; real-time assessment of SOFC power generation system operation risk based on SOFC power generation system parameters, and correction of operation risk assessment results based on SOFC power generation system pump station status information.

[0011] The operational risk assessment logic for the SOFC power generation system is expressed as follows:

[0012] ;

[0013] In the formula: The operational risk value of the SOFC power generation system at the output voltage level; , () represents the safe output voltage range of the SOFC power generation system; The output voltage of the SOFC power generation system is collected;

[0014] Based on the above logical calculations, the operational risk values ​​of the SOFC power generation system in terms of output voltage and current, output power, power generation efficiency, and operating temperature are denoted as follows: The operational risks of SOFC power generation systems are as follows:

[0015] ;

[0016] In the formula: As weight; The power output per unit time of the electricity storage system supporting the SOFC power generation system; The power input per unit time of the electricity storage system supporting the SOFC power generation system;

[0017] Among them, the weights are all positive numbers, and the sum of them is 1, and each value is defined by the user. The operation risk of the SOFC power generation system The larger it is, the higher the operation risk. On the contrary, it means the lower the operation risk;

[0018] Set the operation risk determination interval of the SOFC power generation system, obtain the corrected operation risk assessment result of the SOFC power generation system, and determine whether the assessment result is within the operation risk determination interval; if the determination is yes, end the operation of the SOFC power generation system, sniff the source of the operation risk of the SOFC power generation system, if the determination is no, monitor the matching degree between the working condition of the SOFC power generation system and the application scenario of the SOFC power generation system, set the matching determination interval, and determine whether the matching degree between the working condition of the SOFC power generation system and the application scenario of the SOFC power generation system meets the matching determination interval; if the determination is yes, end, if the determination is no, take the gas pumping station of the SOFC power generation system as the optimization target, and perform optimization control of the gas pumping station according to the relative state of the matching degree between the working condition of the SOFC power generation system and the application scenario of the SOFC power generation system compared with the matching determination interval; record the change of the matching degree between the working condition of the SOFC power generation system and the application scenario of the SOFC power generation system in real time, and when the matching degree meets the matching determination interval, control the gas pumping station to keep the current control result and continue to operate; generate an optimization control message for the gas pumping station of the SOFC power generation system, plan the maintenance cycle of the SOFC power generation system according to the optimization control message of the gas pumping station of the SOFC power generation system, and maintain the SOFC power generation system by applying the maintenance cycle of the SOFC power generation system.

[0019] Furthermore, the associated natural gas of petroleum is integrated into a SOFC power generation system, and power generation is carried out through the SOFC power generation system. The power generation parameters of the SOFC power generation system include: output voltage and current, output power, power generation efficiency, operating temperature, real-time power output and input of the electricity storage system supporting the SOFC power generation system;

[0020] The state information of the gas pumping station of the SOFC power generation system includes: pressure, flow rate, temperature;

[0021] When storing the power generation parameters and pump station status information of the SOFC power generation system in the cloud database, the storage is based on the collection timestamps of the power generation parameters and pump station status information, so that the collection timestamps of the mutually bound power generation parameters and pump station status information are consistent. When collecting the power generation parameters and pump station status information of the SOFC power generation system, continuous collection operations are performed based on the collection cycle customized by the user.

[0022] Furthermore, the correction logic for the SOFC power generation system operation risk assessment results is expressed as follows:

[0023] ;

[0024] In the formula: For the operational risks of the revised SOFC power generation system; Operational risks of SOFC power generation systems; The flow rate, pressure, and temperature of the pump station in the SOFC power generation system were collected. The rated flow rate, pressure, and temperature of the pump station in the SOFC power generation system.

[0025] Furthermore, the risk assessment range for the SOFC power generation system is defined by the system-side user, and the SOFC power generation system risk source detection logic is expressed as follows:

[0026] Traversal ,right The non-zero values ​​are selected for picking, and the selected items correspond to the source of the SOFC power generation system's power generation parameters, i.e., the source of the SOFC power generation system's operational risks.

[0027] Furthermore, the matching degree between the SOFC power generation system operating conditions and the SOFC power generation system application scenarios is expressed as follows: The matching range is defined by the user. If the matching judgment range is met, the process jumps to the SOFC power generation system power generation parameter acquisition stage;

[0028] When the match does not meet the matching criteria, simultaneous identification is performed. The position relative to the matching determination interval;

[0029] ;

[0030] In the formula: For a matching determination interval, equation (1) holds. In side; For a matching determination interval, equation (2) holds true. In side.

[0031] Furthermore, the degree of matching between the SOFC power generation system operating conditions and the SOFC power generation system application scenarios relative to the matching determination interval includes: In side, In side;

[0032] In When the side is in motion, the adjustment ratio is set, and the pressure and flow rate of the SOFC power generation system pump station are continuously reduced based on the adjustment ratio.

[0033] In During this process, the pressure and flow rate of the SOFC power generation system pump station are continuously increased according to the set adjustment ratio.

[0034] Furthermore, the changes in the matching degree between the SOFC power generation system operating conditions and the SOFC power generation system application scenarios are recorded in stages:

[0035] In When lateral, calculate The calculation result is denoted as S, and the results are recorded as S1, S2, S3, S4, ...;

[0036] In When lateral, calculate The calculation result is denoted as S′, and the result is recorded as... ;

[0037] Among them, S1, S2, S3, S4, ... or When the sequence is gradually decreasing, the operation of optimizing and controlling the pump position is continuously performed; otherwise, the operation is switched to the stage of ending the SOFC power generation system operation and probing for the sources of risk in the SOFC power generation system operation.

[0038] Furthermore, the content of the SOFC power generation system pump station optimization control message includes: pump station optimization control duration and pump station optimization control direction;

[0039] The maintenance cycle planning logic for SOFC power generation systems is as follows: Set the base value and adjustment ratio for the maintenance cycle of SOFC power generation systems. The longer the cumulative duration of the pump station optimization and control and the higher the consistency of the pump station optimization and control direction, the SOFC power generation system maintenance cycle is adjusted upward based on the base value and adjustment ratio.

[0040] The shorter the cumulative duration of pump station optimization and control and the lower the consistency of pump station optimization and control direction, the lower the maintenance cycle of SOFC power generation system is adjusted based on the base number and adjustment ratio of SOFC power generation system maintenance cycle.

[0041] Among them, the maintenance cycle of SOFC power generation system is increased, the maintenance cycle of SOFC power generation system is shortened, the maintenance cycle of SOFC power generation system is decreased, and the maintenance cycle of SOFC power generation system is increased.

[0042] Consistency in the direction of optimized control of the air pump station is represented as follows:

[0043] ;

[0044] In the formula: To retrieve the maximum value within the parentheses; For history In Number of times on the side, In The number of times on the side.

[0045] Compared with known public technologies, the technical solution provided by this invention has the following beneficial effects:

[0046] This invention provides an optimization method for power generation using solid oxide fuel cells (SOFCs) with associated petroleum gas. During execution, this method collects power generation parameters and pump status information of the SOFC system to assess its operational risks. Based on the assessment results, intelligent control is implemented. Simultaneously, under safe operating conditions, the method further adjusts the pump status of the SOFC system according to the power demand of the application scenario. Ultimately, by controlling the pump pressure and flow rate, the output of fuel in the SOFC system is controlled, achieving optimized power generation and effectively improving the compatibility between the SOFC system using associated petroleum gas and the power consumption scenario. Attached Figure Description

[0047] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0048] Figure 1 This is a schematic diagram of a process for optimizing power generation using solid oxide fuel cells with associated petroleum gas. Detailed Implementation

[0049] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0050] The present invention will be further described below in conjunction with embodiments.

[0051] Embodiment:

[0052] An optimization method for power generation of a solid oxide fuel cell using associated petroleum gas in this embodiment is as Figure 1 shown and includes:

[0053] Collect the power generation parameters of the SOFC power generation system in real time, synchronously monitor the state information of the gas pumping station of the SOFC power generation system, create a cloud database, and store the power generation parameters and the state information of the gas pumping station of the SOFC power generation system using the cloud database;

[0054] Evaluate the operation risk of the SOFC power generation system in real time according to the power generation parameters of the SOFC power generation system, and correct the operation risk assessment result according to the state information of the gas pumping station of the SOFC power generation system;

[0055] The operation risk assessment logic of the SOFC power generation system is expressed as:

[0056] ;

[0057] In the formula: is the operation risk value of the SOFC power generation system at the output voltage level; ([[]]END]] , ) is the output voltage safety range of the SOFC power generation system; is the output voltage of the SOFC power generation system collected;

[0058] Based on the above logic, calculate the operation risk values of the SOFC power generation system at the output voltage, current, output power, power generation efficiency, and operation temperature levels, denoted as , then the operation risk of the SOFC power generation system is:

[0059] ;

[0060] In the formula: is the weight; is the power output per unit time of the electricity storage system supporting the SOFC power generation system; The power input per unit time of the energy storage system supporting the SOFC power generation system;

[0061] where the weights are all positive numbers, and their sum is 1, and each value is user-defined at the user end. The operating risk of the SOFC power generation system The larger it is, the higher the operating risk; conversely, the lower the operating risk;

[0062] The correction logic of the operating risk assessment result of the SOFC power generation system is expressed as:

[0063] ;

[0064] In the formula: is the operating risk of the corrected SOFC power generation system; is the operating risk of the SOFC power generation system; are the flow rate, pressure, and temperature of the gas pumping station of the SOFC power generation system collected; are the rated flow rate, pressure, and temperature of the gas pumping station of the SOFC power generation system;

[0065] Through the above logical formula, the operating risk of the SOFC power generation system is calculated, thereby providing necessary execution data support for the further execution of the method in this embodiment.

[0066] Set the operating risk determination interval of the SOFC power generation system, obtain the corrected operating risk assessment result of the SOFC power generation system, and determine whether the assessment result is within the operating risk determination interval;

[0067] The operating risk determination interval of the SOFC power generation system is user-defined by the system end user. The sniffing logic of the operating risk source of the SOFC power generation system is expressed as:

[0068] Traverse , and pick up the non-zero items in . The picked items correspond to the power generation parameters of the SOFC power generation system, that is, the operating risk source of the upper station of the SOFC power generation system;

[0069] The matching degree between the operating conditions of the SOFC power generation system and the application scenario of the SOFC power generation system is expressed as , and the matching determination interval is user-defined at the user end. When it meets the matching determination interval, jump to the acquisition stage of the power generation parameters of the SOFC power generation system;

[0070] When it does not meet the matching determination interval, synchronously identify the position relative to the matching determination interval;

[0071] ;

[0072] In the formula: For a matching determination interval, equation (1) holds. In side; For a matching determination interval, equation (2) holds true. In side;

[0073] If the determination is yes, the SOFC power generation system operation is terminated, and the source of SOFC power generation system operation risk is detected. If the determination is no, the matching degree between the SOFC power generation system operating conditions and the SOFC power generation system application scenario is monitored, a matching determination interval is set, and it is determined whether the matching degree between the SOFC power generation system operating conditions and the SOFC power generation system application scenario meets the matching determination interval.

[0074] If the determination is yes, the process ends; if the determination is no, the pumping station of the SOFC power generation system is taken as the optimization target. Based on the relative state of the matching degree between the SOFC power generation system operating conditions and the SOFC power generation system application scenario compared with the matching determination interval, the pumping station optimization and control is performed.

[0075] The system records the changes in the matching degree between the SOFC power generation system operating conditions and the SOFC power generation system application scenarios in real time. When the matching degree meets the matching judgment range, the system controls the gas pump station to maintain the current control result and continue to operate.

[0076] Generate SOFC power generation system pump position optimization and control message, plan SOFC power generation system maintenance cycle based on SOFC power generation system pump position optimization and control message, and apply SOFC power generation system maintenance cycle to maintain SOFC power generation system.

[0077] The degree of matching between the operating conditions of the SOFC power generation system and the application scenarios of the SOFC power generation system relative to the matching judgment interval includes: In side, In side;

[0078] In When the side is in motion, the adjustment ratio is set, and the pressure and flow rate of the SOFC power generation system pump station are continuously reduced based on the adjustment ratio.

[0079] In During this process, the pressure and flow rate of the SOFC power generation system pump station are continuously increased according to the set adjustment ratio.

[0080] Record the stages of change in the matching degree between the SOFC power generation system operating conditions and the SOFC power generation system application scenarios:

[0081] In When lateral, calculate The calculation result is denoted as S, and the results are recorded as S1, S2, S3, S4, ...;

[0082] In When lateral, calculate The calculation result is denoted as S′, and the result is recorded as... ;

[0083] Among them, S1, S2, S3, S4, ... or When the sequence is gradually decreasing, the operation of optimizing and controlling the pump position is continuously performed; otherwise, the operation is switched to the stage of ending the SOFC power generation system and probing for the sources of risk in the SOFC power generation system operation.

[0084] The SOFC power generation system pump station optimization control message includes: pump station optimization control duration and pump station optimization control direction.

[0085] The maintenance cycle planning logic for SOFC power generation systems is as follows: Set the base value and adjustment ratio for the maintenance cycle of SOFC power generation systems. The longer the cumulative duration of the pump station optimization and control and the higher the consistency of the pump station optimization and control direction, the SOFC power generation system maintenance cycle is adjusted upward based on the base value and adjustment ratio.

[0086] The shorter the cumulative duration of pump station optimization and control and the lower the consistency of pump station optimization and control direction, the lower the maintenance cycle of SOFC power generation system is adjusted based on the base number and adjustment ratio of SOFC power generation system maintenance cycle.

[0087] Among them, the maintenance cycle of SOFC power generation system is increased, the maintenance cycle of SOFC power generation system is shortened, the maintenance cycle of SOFC power generation system is decreased, and the maintenance cycle of SOFC power generation system is increased.

[0088] Consistency in the direction of optimized control of the air pump station is represented as follows:

[0089] ;

[0090] In the formula: To retrieve the maximum value within the parentheses; For history In Number of times on the side, In The number of times on the side.

[0091] In this embodiment, through the execution of the method in the above embodiment, an intelligent power generation optimization management effect is brought to the SOFC power generation system where the solid oxide fuel cell of associated petroleum gas is located, ensuring that the power consumption scenario where the SOFC power generation system is located can use electric energy more stably.

[0092] As Figure 1 shown, the solid oxide fuel cell of associated petroleum gas is integrated into the SOFC power generation system, and power generation is carried out through the SOFC power generation system. The power generation parameters of the SOFC power generation system include: output voltage and current, output power, power generation efficiency, operating temperature, real-time power output of the energy storage system supporting the SOFC power generation system, and input quantity;

[0093] The state information of the air pumping station of the SOFC power generation system includes: pressure, flow rate, and temperature;

[0094] Among them, when the cloud database stores the power generation parameters and the state information of the air pumping station of the SOFC power generation system, it stores them in a mutually bound manner based on the collection timestamps of the power generation parameters and the state information of the air pumping station, making the collection timestamps of the mutually bound power generation parameters and the state information of the air pumping station consistent. When the power generation parameters and the state information of the air pumping station of the SOFC power generation system are collected, continuous collection operations are performed based on the collection period defined by the user terminal.

[0095] Through the above settings, further execution data support is provided for the execution of the method in this embodiment, ensuring the stable execution of the method in this embodiment and providing an optimization service for the SOFC power generation system.

[0096] In summary, during the execution of the method in the above embodiment, through the collection of the power generation parameters and the state information of the air pumping station of the SOFC power generation system, the operation risk of the SOFC power generation system is determined, and then the SOFC power generation system is intelligently controlled based on the determination result. Synchronously, in the safe state of the SOFC power generation system, the air pumping station of the SOFC power generation system can be further regulated according to the power consumption demand of the usage scenario of the SOFC power generation system. Finally, through the control of the pumping pressure and flow rate, the output of the power generation fuel in the SOFC power generation system is controlled, and finally the power generation optimization effect is achieved, effectively improving the matching degree between the SOFC power generation system where the solid oxide fuel cell of associated petroleum gas is located and the power consumption scenario.

[0097] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An optimized method for power generation using solid oxide fuel cells with associated petroleum gas, characterized in that, Including: Real-time collect the power generation parameters of the SOFC power generation system, synchronously monitor the status information of the pumping station of the SOFC power generation system, create a cloud database, and use the cloud database to store the power generation parameters of the SOFC power generation system and the status information of the pumping station; Evaluate the operation risk of the SOFC power generation system in real time according to the power generation parameters of the SOFC power generation system, and correct the operation risk assessment result according to the status information of the pumping station of the SOFC power generation system; Set the operation risk determination interval of the SOFC power generation system, obtain the corrected operation risk assessment result of the SOFC power generation system, and determine whether the assessment result is within the operation risk determination interval; If the determination is yes, end the operation of the SOFC power generation system, sniff the source of the operation risk of the SOFC power generation system. If the determination is no, monitor the matching degree between the working condition of the SOFC power generation system and the application scenario of the SOFC power generation system, set the matching determination interval, and determine whether the matching degree between the working condition of the SOFC power generation system and the application scenario of the SOFC power generation system meets the matching determination interval; If the determination is yes, end. If the determination is no, take the pumping station of the SOFC power generation system as the optimization target, and perform optimization control of the pumping station according to the relative state of the matching degree between the working condition of the SOFC power generation system and the application scenario of the SOFC power generation system compared with the matching determination interval; Record the change of the matching degree between the working condition of the SOFC power generation system and the application scenario of the SOFC power generation system in real time. When the matching degree meets the matching determination interval, control the pumping station to keep the current regulation result and continue to operate; Generate an optimization control message for the pumping station of the SOFC power generation system, plan the maintenance period of the SOFC power generation system according to the optimization control message of the pumping station of the SOFC power generation system, and maintain the SOFC power generation system using the maintenance period of the SOFC power generation system.

2. The method for optimizing power generation using solid oxide fuel cells with associated petroleum gas according to claim 1, characterized in that, The solid oxide fuel cell integrated with the associated petroleum gas is the SOFC power generation system, and power generation is carried out through the SOFC power generation system. The power generation parameters of the SOFC power generation system include: output voltage and current, output power, power generation efficiency, operating temperature, real-time power output of the energy storage system supporting the SOFC power generation system, input quantity; The status information of the pumping station of the SOFC power generation system includes: pressure, flow rate, temperature; Among them, when the cloud database stores the power generation parameters of the SOFC power generation system and the status information of the pumping station, it performs binding storage based on the collection timestamps of the power generation parameters and the status information of the pumping station, so that the collection timestamps of the mutually bound power generation parameters and the status information of the pumping station are consistent. When collecting the power generation parameters and the status information of the pumping station of the SOFC power generation system, continuous collection operations are performed based on the collection period defined by the user terminal.

3. The method for optimizing power generation using solid oxide fuel cells with associated petroleum gas according to claim 1, characterized in that, The operation risk assessment logic of the SOFC power generation system is expressed as: ； In the formula: The operational risk value of the SOFC power generation system at the output voltage level; , () represents the safe output voltage range of the SOFC power generation system; The output voltage of the SOFC power generation system is collected; Based on the above logical calculations, the operational risk values ​​of the SOFC power generation system in terms of output voltage and current, output power, power generation efficiency, and operating temperature are denoted as follows: The operational risks of SOFC power generation systems are as follows: ； Where: is the weight; is the power output per unit time of the electricity storage system supporting the SOFC power generation system; is the power input per unit time of the electricity storage system supporting the SOFC power generation system; Among them, weight All values ​​are positive, and their sum is 1. The user-defined values ​​for each value contribute to the operational risks of the SOFC power generation system. The larger the value, the higher the operational risk; conversely, the smaller the value, the lower the operational risk.

4. The method for optimizing power generation using solid oxide fuel cells with associated petroleum gas according to claim 1, characterized in that, The correction logic of the operation risk assessment result of the SOFC power generation system is expressed as: ； In the formula: For the operational risks of the revised SOFC power generation system; Operational risks of SOFC power generation systems; The flow rate, pressure, and temperature of the pump station in the SOFC power generation system were collected. The rated flow rate, pressure, and temperature of the pump station in the SOFC power generation system.

5. The method for optimizing power generation using solid oxide fuel cells with associated petroleum gas according to claim 1, characterized in that, The operation risk determination interval of the SOFC power generation system is user-defined by the system terminal. The sniffing logic of the operation risk source of the SOFC power generation system is expressed as: Traversal ,right The non-zero values ​​are selected for picking, and the selected items correspond to the source of the SOFC power generation system's power generation parameters, i.e., the source of the SOFC power generation system's operational risks.

6. The method for optimizing power generation using solid oxide fuel cells with associated petroleum gas according to claim 1, characterized in that, The degree of matching between the SOFC power generation system operating conditions and the SOFC power generation system application scenarios is expressed as follows: The matching range is defined by the user. If the matching judgment range is met, the process jumps to the SOFC power generation system power generation parameter acquisition stage; When the match does not meet the matching criteria, simultaneous identification is performed. The position relative to the matching determination interval; ； In the formula: For a matching determination interval, equation (1) holds. In side; For a matching determination interval, equation (2) holds true. In side.

7. A method for optimizing power generation using solid oxide fuel cells with associated petroleum gas according to claim 1 or 6, characterized in that, The degree of matching between the SOFC power generation system operating conditions and the SOFC power generation system application scenarios relative to the matching determination interval includes: In side, In side; In When the side is in motion, the adjustment ratio is set, and the pressure and flow rate of the SOFC power generation system pump station are continuously reduced based on the adjustment ratio. In During this process, the pressure and flow rate of the SOFC power generation system pump station are continuously increased according to the set adjustment ratio.

8. The method for optimizing power generation using solid oxide fuel cells with associated petroleum gas according to claim 1, characterized in that, Record the change stage of the matching degree between the working condition of the SOFC power generation system and the application scenario of the SOFC power generation system: In When lateral, calculate The calculation result is denoted as S, and the results are recorded as S1, S2, S3, S4, ...; In When lateral, calculate The calculation result is denoted as S′, and the result is recorded as... ; Among them, S1, S2, S3, S4, ... or When the sequence is gradually decreasing, the operation of optimizing and controlling the pump position is continuously performed; otherwise, the operation is switched to the stage of ending the SOFC power generation system operation and probing for the sources of risk in the SOFC power generation system operation.

9. The method for optimizing power generation using solid oxide fuel cells with associated petroleum gas according to claim 1, characterized in that, The SOFC power generation system pump station optimization control message includes: pump station optimization control duration and pump station optimization control direction. The maintenance cycle planning logic for SOFC power generation systems is as follows: Set the base value and adjustment ratio for the maintenance cycle of SOFC power generation systems. The longer the cumulative duration of the pump station optimization and control and the higher the consistency of the pump station optimization and control direction, the SOFC power generation system maintenance cycle is adjusted upward based on the base value and adjustment ratio. The shorter the cumulative duration of pump station optimization and control and the lower the consistency of pump station optimization and control direction, the lower the maintenance cycle of SOFC power generation system is adjusted based on the base number and adjustment ratio of SOFC power generation system maintenance cycle. Among them, the maintenance cycle of SOFC power generation system is increased, the maintenance cycle of SOFC power generation system is shortened, the maintenance cycle of SOFC power generation system is decreased, and the maintenance cycle of SOFC power generation system is increased. Consistency in the direction of optimized control of the air pump station is represented as follows: ； In the formula: To retrieve the maximum value within the parentheses; For history In Number of times on the side, In The number of times on the side.

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