An off-grid new energy hydrogen production starting control method, system, device and medium

Abstract

The application discloses an off-grid new energy hydrogen production starting control method, system, equipment and medium, relates to the technical field of new energy hydrogen production control and micro-grid operation management, and comprises the following steps: adopting energy storage zero step-up voltage control and anti-interference communication to establish bus voltage based on an off-grid system architecture; adjusting wind turbine output power based on a short-term wind speed prediction variable pitch power following strategy, adopting an improved NSGA-II multi-objective optimization algorithm to dynamically adjust the power distribution ratio of the wind turbine and the energy storage device in combination with the equipment health state factor, and optimizing the equipment power output path and response rate; adopting electrolytic cell pre-starting condition checking, power step-up and grid-connected transition step starting, cooperating with closed-loop temperature flow regulation and PID pressure management strategies to carry out electrolytic hydrogen production, and executing black start fallback and self-healing control. The method disclosed by the application realizes smooth construction of bus voltage through energy storage zero step-up voltage control, and effectively suppresses current impact in the starting process.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of new energy hydrogen production control and micro-grid operation management, in particular to an off-grid new energy hydrogen production starting control method, system, device and medium. BACKGROUND

[0002] The operation characteristics and regulation capacity of the traditional power grid have been difficult to meet the system stability and security demand after high proportion of new energy access. In order to improve the new energy consumption capacity and realize the cross-time and space transfer of energy, the water electrolysis hydrogen production technology gradually becomes an important technical path for building a new energy system because of its good energy storage and energy conversion characteristics. Especially in the off-grid independent micro-grid scene, through the coordinated operation of wind energy, energy storage and electrolytic hydrogen production, not only the utilization rate of new energy can be improved, but also the energy supply and system black start capability in island mode can be effectively supported.

[0003] However, the current off-grid new energy hydrogen production system still faces many technical challenges in the black start process. On the one hand, the system voltage and frequency stability is difficult to guarantee in the initial stage of black start due to the lack of external grid support; on the other hand, there are problems such as large current impact and frequent bus voltage fluctuation in the coordinated starting process of wind turbine and energy storage device, which easily leads to increased equipment wear and even failure. In addition, the direct investment of electrolytic hydrogen production equipment during black start has problems such as excessive starting current and unstable temperature and pressure control, which affects the overall starting efficiency and equipment safety of the system.

[0004] In the prior art, single energy storage or wind power equipment is usually used for black start, and there is a lack of coordinated optimization control strategy for wind storage hydrogen multi-energy. For the energy storage system, the state of charge and device health condition are usually not dynamically adjusted, resulting in low energy storage utilization. The wind turbine lacks a variable pitch control strategy based on short-term wind speed prediction, and it is difficult to adapt to the influence of wind speed fluctuation on system power demand in time. At the same time, the existing hydrogen production system does not use a phased starting and dynamic adjustment strategy, resulting in high energy consumption, serious equipment wear and tear, and difficult to guarantee hydrogen purity during the electrolytic hydrogen production process.

[0005] In summary, there is an urgent need for an off-grid new energy hydrogen production starting control method that can realize the coordinated optimization of wind storage hydrogen system, has perfect black start capability, power dynamic regulation capability and electrolytic hydrogen production process stable control capability, in order to improve the utilization rate of new energy and the stability of system operation, and realize safe, economic and efficient off-grid hydrogen production starting process. SUMMARY

[0006] In view of the above problems, the present application is proposed.

[0007] Therefore, the technical problem solved by the present application is that the existing off-grid new energy hydrogen production control method has insufficient black start capability, low system power regulation flexibility, unstable electrolytic hydrogen production start-up process, and how to realize the problems of bus voltage stability, power balance and safe and efficient start-up of the electrolytic hydrogen production process in the black start process under the support of no external power grid.

[0008] To solve the above technical problems, the present application provides the following technical solutions: An off-grid new energy hydrogen production start-up control method, including establishing a bus voltage based on off-grid system architecture using energy storage zero step-up control and anti-interference communication.

[0009] The output power of the wind turbine is adjusted by the pitch power following strategy based on short-term wind speed prediction, the power distribution ratio of the wind turbine and the energy storage device is dynamically adjusted by the improved NSGA-II multi-objective optimization algorithm combined with the equipment health state factor, and the equipment power output path and response rate are optimized.

[0010] The electrolytic cell pre-start condition check, step-by-step power climbing and grid-connected transition are adopted for step-by-step start, closed-loop temperature flow regulation and PID pressure management strategy are used for electrolytic hydrogen production, and black start rollback and self-healing control are performed.

[0011] Adjusting the power distribution ratio of the wind turbine and the energy storage device includes constructing a pitch power following strategy based on short-term wind speed prediction, using an improved NSGA-II multi-objective optimization algorithm and an equipment health state factor, using energy storage power change rate calculation and phased slope threshold setting to control the power adjustment rate of the energy storage system charging and discharging process, and dynamically adjusting the pitch rate of the wind turbine according to the wind speed prediction.

[0012] Adjusting the power distribution ratio of the wind turbine and the energy storage device also includes real-time optimization of the slope threshold of each device by the master control unit combined with bus voltage fluctuation and digital twin simulation results.

[0013] As a preferred scheme of the off-grid new energy hydrogen production start-up control method described in the present application, wherein: the energy storage zero step-up control and anti-interference communication includes deploying a time-sensitive network protocol in the independent microgrid architecture, and realizing redundant link switching of key control instructions through Rapid Spanning Tree Protocol.

[0014] AES-256 advanced encryption algorithm and CRC cyclic redundancy check mechanism are introduced for key control data, electrical physical model establishment and dynamic control are performed by digital twin method, virtual simulation calculation is performed by using real-time collected wind speed, bus voltage, energy storage state of charge and electrolytic cell operating parameters, and control strategy of microgrid bus voltage construction process is dynamically optimized by simulation results.

[0015] As a preferred scheme of the off-grid new energy hydrogen production start-up control method, the bus voltage is established by the energy storage device in three stages of pre-charging, impedance matching and closed-loop voltage stabilization.

[0016] In the impedance matching stage, based on the line parameter real-time identification technology, the TOPSIS algorithm is extended by introducing the non-inferior solution ideal point, and the matching degree of the energy storage output impedance and the equivalent impedance of the transmission line is dynamically calculated by using the ideal point relative closeness calculation formula based on TOPSIS, and the energy storage output impedance is adjusted to dynamically adapt to the transmission line impedance by selecting the optimal impedance matching scheme.

[0017] In the closed-loop voltage stabilization stage, when the bus voltage reaches the preset value, the energy storage controller switches to the voltage-reactive power double-loop closed-loop control mode, and the bus voltage is stably raised to the rated voltage value by means of controllable slope.

[0018] As a preferred scheme of the off-grid new energy hydrogen production start-up control method, the bus voltage is established by the energy storage device in three stages of pre-charging, impedance matching and closed-loop voltage stabilization.

[0019] According to the prediction result output by the wind speed prediction model and the current power demand, a pre-adjustment instruction of the pitch angle is generated, the optimal pitch angle set value is determined by searching the wind speed-power mapping database, and based on the deviation between the real-time power output of the wind turbine and the predicted demand, the pitch angle adjustment amount is dynamically corrected by using the feedback compensation algorithm.

[0020] In the pitch angle adjustment process, according to the response characteristics of the wind turbine in different wind speed intervals, the pitch angle rate limit value is set by the main control unit, so that the pitch angle adjustment rate is within the safety threshold, and when the main control unit judges that the wind turbine has completed the start-up and is in a stable running state, and its output power reaches 20% of the total system demand and maintains stable for 60 seconds, the main control unit sends a pre-start-up instruction to the electrolytic hydrogen production system.

[0021] In the process of adjusting the power of the wind turbine, the health status of each unit is dynamically calculated by real-time monitoring of the temperature, vibration and current fluctuation state parameters of the wind turbine in combination with the equipment health state evaluation factor, and the wind turbine with good health status is preferentially dispatched to participate in power output.

[0022] As a preferred scheme of the off-grid new energy hydrogen production start-up control method, the adjustment of the power distribution ratio of the wind turbine generator and the energy storage device comprises: calculating the optimal power distribution ratio of the wind turbine generator and the energy storage device through a multi-objective optimization algorithm, constructing a multi-objective optimization function to minimize the wind power output deviation, the energy storage output deviation, the voltage fluctuation index and the black start time cost, and combining the equipment health state factor to optimize the power distribution.

[0023] The improved NSGA-II multi-objective genetic algorithm is adopted, the crowdedness comparison operator and the non-inferior solution elite reservation strategy are introduced, the Pareto optimal front solution set is generated in the optimization process, and the optimal power distribution solution is determined through the ideal point method Euclidean distance calculation formula.

[0024] In the power distribution process, the load change, the bus voltage state and the wind speed prediction result collected by the master control unit in real time are combined, the output power of the wind turbine generator and the energy storage device is dynamically adjusted according to the optimization calculation result, the wind turbine generator preferentially undertakes the reference power output task in the optimization algorithm result, the energy storage adjusts the load response according to the prediction deviation and the health state, and the power demand is met together.

[0025] As a preferred scheme of the off-grid new energy hydrogen production start-up control method, the optimization device power output path and response rate comprise: dynamically adjusting the power output path of the wind turbine generator and the energy storage device based on the optimization algorithm through the master control unit, and controlling the response rate of each device to adapt to the hydrogen production load change.

[0026] For the optimization of the energy storage output path, the output power change slope of the energy storage device is dynamically adjusted in combination with the energy storage state of charge and the predicted load change trend, the power change rate in the charging and discharging conversion process is controlled to be less than a set slope threshold, and the charging and discharging change rate of the energy storage is calculated through an energy storage power change rate calculation formula.

[0027] As a preferred scheme of the off-grid new energy hydrogen production start-up control method, the optimization device power output path and response rate further comprise: limiting the charging and discharging change rate of the energy storage within the maximum slope threshold calculated by the master control unit, when the energy storage state of charge is greater than 80% and the health state factor is greater than 0.9, the maximum slope threshold allowed is not more than 0.5kW / s.

[0028] When the energy storage state of charge is greater than 50% and less than 80% and the health state factor is greater than or equal to 0.8, the maximum slope threshold is not more than 0.3kW / s.

[0029] When the energy storage state of charge is less than 50% and the health state factor is less than 0.8, the maximum slope threshold is limited to 0.1kW / s.

[0030] As a preferred scheme of the off-grid new energy hydrogen production start-up control method, the maximum slope threshold includes: for the slope threshold setting of the wind turbine, the current wind speed change trend is analyzed through the wind speed prediction model and historical operation data, the maximum slope threshold of the pitch angle change rate is dynamically set according to the predicted wind speed change rate and the system load adjustment demand, and in the stable stage of the wind speed change, the pitch angle adjustment slope is set to be not greater than 1.5° / s.

[0031] In the case of rapid wind speed change, the pitch angle adjustment rate is dynamically adjusted in combination with the load demand, and is not greater than 3° / s, and feedback compensation is used to avoid instability caused by too large pitch rate change.

[0032] The main control unit dynamically corrects the above slope threshold according to the bus voltage fluctuation, when the bus voltage fluctuation exceeds ±2.5%, the power adjustment slope threshold of the energy storage and the wind turbine is automatically reduced, the stability is preferentially ensured, and the response effect under each slope threshold is simulated through digital twin simulation, and the threshold setting is dynamically optimized in combination with the simulation result and the current operation data.

[0033] As a preferred scheme of the off-grid new energy hydrogen production start-up control method, the electrolytic hydrogen production includes: in the pre-start-up condition checking stage, when the microgrid bus voltage and frequency are stable in the preset range, the main control unit controls the initial power-on of the electrolytic cell to be not more than 10% of the rated current, and simultaneously maintains the temperature rise rate to be not more than 2℃ / min through the temperature sensor and the flow controller, so that the structural material of the electrolytic cell is in a safe stress state.

[0034] In the stepped power loading, the electrolytic cell is jointly powered by the wind power and the energy storage, the current allocatable power is calculated based on the remaining power after the wind storage system scheduling, the electrolytic cell power is gradually increased to between 15%-100% of the rated power, the internal pressure fluctuation is maintained at ±0.05MPa through the PID controller to adjust the pressure valve.

[0035] In the grid-connected transition stage, the electrolytic cell is smoothly connected to the load by adjusting the direct current side voltage and the electrolytic current change rate, the sensor feedback signals are monitored in real time, and the operation state of the electrolytic cell is dynamically adjusted.

[0036] The black start rollback and self-healing control includes that the main control unit sets a black start key monitoring index, and when the index exceeds the set threshold, the main control unit triggers a rollback mechanism based on a state machine logic.

[0037] The key monitoring index includes bus voltage fluctuation, energy storage SOC, electrolytic cell temperature, and frequency fluctuation.

[0038] During the rollback process, the electrolytic tank power output is reduced to 50% of the current value, while triggering forced cooling, the electrolyte flow is adjusted to the maximum set value, the internal temperature and pressure are reduced.

[0039] During black start, real-time detection of voltage, current, temperature and other key operating indicators.

[0040] When any indicator exceeds the safety threshold, the rollback mechanism is immediately executed, and during the rollback process, the electrolysis power is reduced to 50%, the electrolyte flow rate is forced to increase to speed up cooling, and the energy storage and wind power output are increased. The bus is stabilized. The master control uses fuzzy logic to judge the fault level, and after recovery, the electrolytic tank operation is gradually restored according to the step strategy.

[0041] During the self-healing control process, the master control unit judges the fault level through the fuzzy logic algorithm, and when the state returns to each monitoring indicator below the set safety threshold, the electrolytic tank power output is gradually restored, and the load is adjusted according to the step-by-step start process.

[0042] The fault records and response data at each stage are stored in a blockchain for trusted storage.

[0043] Another object of the present application is to provide an off-grid new energy hydrogen production start-up control system, which can perform dynamic power distribution through a variable pitch power following strategy based on short-term wind speed prediction and an improved NSGA-II multi-objective optimization algorithm, solving the problems of unreasonable power distribution, slow response rate and device adjustment incoordination in the current off-grid microgrid black start technology.

[0044] As a preferred scheme of the off-grid new energy hydrogen production start-up control system described in the present application, wherein: comprising a bus voltage construction module, a wind storage power optimization distribution and dynamic adjustment module, and an electrolytic hydrogen production start-up and rollback self-healing module.

[0045] The bus voltage construction module is used to establish the bus voltage based on the off-grid system architecture using energy storage zero rise voltage control and anti-interference communication.

[0046] The wind storage power optimization distribution and dynamic adjustment module is used to adjust the output power of the wind turbine through a variable pitch power following strategy based on short-term wind speed prediction, and to dynamically adjust the power distribution ratio of the wind turbine and the energy storage device by combining the device health state factor with an improved NSGA-II multi-objective optimization algorithm, and to optimize the device power output path and response rate.

[0047] The electrolytic hydrogen production start-up and rollback self-healing module is used to perform electrolytic hydrogen production by using electrolytic tank pre-starting condition checking, power step-up and grid-connected transition step-by-step start, and cooperating with closed-loop temperature flow regulation and PID pressure management strategy, and to perform black start rollback and self-healing control.

[0048] A computer device comprises a memory and a processor, the memory stores a computer program, and the processor executes the computer program to implement the steps of the off-grid new energy hydrogen production start-up control method.

[0049] A computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the steps of the off-grid new energy hydrogen production start-up control method.

[0050] The off-grid new energy hydrogen production start-up control method provided by the present application can effectively suppress current impact during the start-up process by using energy storage zero-voltage step-up control to stably build bus voltage, can improve wind energy utilization and optimize power output path by using a variable pitch power following strategy based on short-term wind speed prediction, and can reduce thermal stress and pressure fluctuation during electrolysis start-up by using a step-by-step start-up of electrolytic cells combined with a PID pressure management strategy. BRIEF DESCRIPTION OF DRAWINGS

[0051] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0052] Figure 1 The off-grid new energy hydrogen production start-up control method provided by the present application is provided.

[0053] Figure 2 The system structure diagram of the off-grid new energy hydrogen production start-up control method provided by the present application is provided. DETAILED DESCRIPTION

[0054] In order to make the above-mentioned objects, features and advantages of the present application more apparent and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should be within the scope of protection of the present application.

[0055] Embodiment 1, refer to Figure 1 An off-grid new energy hydrogen production start-up control method is provided, comprising:

[0056] S1: Establish bus voltage based on off-grid system architecture using energy storage zero-voltage step-up control and anti-interference communication.

[0057] In the off-grid system architecture, the time-sensitive network protocol is deployed, the redundant link switching of critical control instructions is realized through the Rapid Spanning Tree Protocol, and the link switching time is not more than 50 ms.

[0058] The AES-256 advanced encryption algorithm and the CRC cyclic redundancy check mechanism are introduced for critical control data, the electrical physical model is established and dynamically controlled through the digital twin method, the wind speed, bus voltage, energy storage state of charge and electrolytic cell operating parameters are collected in real time for virtual simulation calculation, the control strategy of the microgrid bus voltage construction process is dynamically optimized through the simulation results, and the transmission delay of the critical control instruction is not more than 5 ms.

[0059] Further, the bus voltage is established by the energy storage device according to three stages of pre-charging, impedance matching and closed-loop voltage stabilization. In the pre-charging stage, a constant current limiting voltage mode is adopted, and the initial charging current is limited through a pre-charging resistance network, so that the initial charging current is controlled within 5% of the rated current of the energy storage device.

[0060] One preferred scheme for limiting the initial charging current through the pre-charging resistance network is:

[0061] ,

[0062] wherein, represents the initial charging current, represents the rated current of the energy storage device.

[0063] In the impedance matching stage, based on the line parameter real-time identification technology, the matching degree of the energy storage output impedance and the equivalent impedance of the transmission line is dynamically calculated by introducing the TOPSIS algorithm based on the ideal point relative closeness degree calculation formula.

[0064] One preferred scheme for dynamically calculating the matching degree of the energy storage output impedance and the equivalent impedance of the transmission line is:

[0065] ,

[0066] wherein, represents the relative closeness degree of the scheme , represents the distance from the scheme to the positive ideal solution, represents the distance from the scheme to the negative ideal solution.

[0067] The energy storage output impedance is adjusted to dynamically adapt to the transmission line impedance by screening the optimal impedance matching scheme.

[0068] In the closed-loop voltage stabilization phase, when the bus voltage reaches 0.95pu and stabilizes for 10 seconds, the energy storage controller switches to a voltage-reactive power dual-loop closed-loop control mode.

[0069] The voltage-reactive power dual-loop closed-loop control mode includes outer loop control of voltage stabilization and inner loop control of reactive power distribution, achieving joint regulation of voltage amplitude and phase angle by means of controllable slope to stabilize the bus voltage to the rated voltage value.

[0070] A preferred solution for stabilizing the bus voltage to the rated voltage value is:

[0071] ,

[0072] wherein, represents the bus voltage at time , represents the initial bus voltage, represents the bus voltage ramp-up slope, represents time.

[0073] S2: Adjust the output power of the wind turbine through a variable pitch power following strategy based on short-term wind speed prediction, dynamically adjust the power distribution ratio of the wind turbine and the energy storage device by using an improved NSGA-II multi-objective optimization algorithm combined with the device health state factor, and optimize the device power output path and response rate.

[0074] A wind speed prediction model is established based on an improved long short-term memory network, historical wind speed change data and real-time wind speed, pressure, temperature meteorological data collected by a meteorological station are input for model training, and a sliding window mechanism is used to dynamically update model parameters.

[0075] A preferred solution for establishing the wind speed prediction model is:

[0076] ,

[0077] wherein, represents the predicted wind speed, represents the LSTM neural network prediction function, represents the wind speed at time , represents the number of historical wind speed samples used for prediction.

[0078] According to the prediction result output by the wind speed prediction model and the current power demand, a pre-adjustment instruction of the pitch angle is generated.

[0079] A preferred solution for generating the pre-adjustment instruction of the pitch angle is:

[0080] ,

[0081] wherein, represents the wind turbine power coefficient, represents the air density, represents the wind wheel swept area, represents the predicted wind power, represents the predicted wind speed cubed, represents the predicted wind power value corresponding time.

[0082] The optimal pitch angle setting value is determined by searching the wind speed-power mapping database, and the pitch angle adjustment amount is dynamically corrected by using a feedback compensation algorithm based on the deviation of the real-time power output of the wind turbine from the predicted demand.

[0083] The deviation of the real-time power output of the wind turbine from the predicted demand includes the deviation between the real-time power output of the wind turbine and the target power obtained by the wind speed prediction model and the load calculation result.

[0084] One preferred scheme for correcting the pitch angle adjustment amount is:

[0085] ,

[0086] wherein, represents the pitch angle adjustment change amount, represents the proportional adjustment coefficient, represents the target power, represents the actual power output.

[0087] During the pitch angle adjustment process, according to the response characteristics of the wind turbine in different wind speed intervals, the pitch angle rate limit value is set by the main control unit, so that the pitch angle adjustment rate is within the safety threshold. When the main control unit judges that the wind turbine has completed the start and is in a stable running state, and its output power reaches 20% of the total system demand and maintains stable for 60 seconds, the main control unit sends a pre-start instruction to the electrolytic hydrogen production system.

[0088] During the wind turbine power regulation process, the health status of each unit is dynamically calculated by real-time monitoring of the temperature, vibration and current fluctuation state parameters of the wind turbine in combination with the equipment health status evaluation factor, and the wind turbine with good health status is preferentially dispatched to participate in power output.

[0089] The optimal power distribution ratio of the wind turbine and the energy storage device is calculated by a multi-objective optimization algorithm, and a multi-objective optimization function is constructed.

[0090] Calculating the optimal power distribution ratio of the wind turbine and the energy storage device includes wind power priority, energy storage dynamic regulation and auxiliary wind power redundant power absorption.

[0091] One preferred scheme for constructing the multi-objective function is:

[0092] ,

[0093] wherein, represents wind power output deviation, represents energy storage output deviation, represents voltage fluctuation index, represents black start time cost, represents equipment health status factor, represents wind power prediction deviation target function, represents energy storage scheduling deviation target function, represents voltage fluctuation evaluation function, represents start time cost function, represents equipment health status evaluation function.

[0094] The calculation of the black start time cost includes the total time required to recover from a power outage state to stable operation of the electrolytic hydrogen production system, including three stages of energy storage pressure building, wind power output stabilization, and electrolyzer stable loading.

[0095] The minimization target of the wind power output deviation is to control the actual power output close to the theoretical prediction target by adjusting the pitch angle and other means, and to reduce the control error caused by wind speed fluctuation and equipment response lag.

[0096] The power allocation optimization is performed by minimizing the wind power output deviation, energy storage output deviation, voltage fluctuation index, and black start time cost, and combining the equipment health status factor.

[0097] An improved NSGA-II multi-objective genetic algorithm is adopted, and by introducing a crowdedness comparison operator and a non-inferior solution elite retention strategy, the multi-objective functions are jointly input into the improved NSGA-II multi-objective genetic algorithm, a Pareto frontier solution set is generated through a non-dominant sorting and crowdedness comparison mechanism, and the final optimal solution is calculated by an ideal point method Euclidean distance.

[0098] One preferred scheme for calculating and determining the optimal power allocation solution is:

[0099] ,

[0100] wherein, represents the Euclidean distance of the scheme , represents the actual value of the scheme under the first target, represents the ideal value of the first target, represents the number of target functions.

[0101] In the power distribution process, combined with the real-time acquisition of the load change, bus voltage state and wind speed prediction results of the master control unit, the output power of the wind turbine and the energy storage device is dynamically adjusted according to the optimization calculation results, the wind turbine is given priority to undertake the benchmark power output task in the optimization algorithm results, and the energy storage adjusts the load response according to the prediction deviation and health state to jointly meet the power demand.

[0102] The wind turbine starts after the energy storage builds up pressure, undertakes the minimum power baseline, and the power is the judgment condition for electrolyzer start.

[0103] The master control unit dynamically adjusts the power output path of the wind turbine and the energy storage device based on the optimization algorithm, and controls the response rate of each device to adapt to the hydrogen production load change.

[0104] For energy storage output path optimization, combined with the energy storage state of charge and the predicted load change trend, the output power change slope of the energy storage device is dynamically adjusted, the power change rate in the charging and discharging conversion process is controlled to not exceed the set slope threshold, and the charging and discharging change rate of the energy storage is calculated through the energy storage power change rate calculation formula.

[0105] The output path includes the device power supply sequence and the load side energy supply structure.

[0106] One preferred solution for calculating the energy storage charging and discharging change rate is:

[0107] ,

[0108] Wherein, represents the energy storage power change rate, represents the energy storage target output power, represents the current output power of the energy storage, represents the adjustment time interval.

[0109] The charging and discharging change rate of the energy storage is limited within the maximum slope threshold calculated by the master control unit, when the energy storage state of charge is greater than 80% and the health state factor is greater than 0.9, the maximum slope threshold allowed is not more than 0.5kW / s.

[0110] When the energy storage state of charge is greater than 50% and less than 80% and the health state factor is greater than or equal to 0.8, the maximum slope threshold is not more than 0.3kW / s.

[0111] When the energy storage state of charge is less than 50% and the health state factor is less than 0.8, the maximum slope threshold is limited to 0.1kW / s.

[0112] For the slope threshold setting of the wind turbine, the current wind speed trend is analyzed through the wind speed prediction model and historical operation data, and the maximum slope threshold of the pitch angle change rate is dynamically set according to the predicted wind speed change rate and the system load adjustment demand. In the stable stage of wind speed change, the pitch angle adjustment slope is set to be not greater than 1.5° / s.

[0113] When the wind speed changes sharply, the pitch angle adjustment rate is dynamically adjusted in combination with the load demand, which is not greater than 3° / s, and feedback compensation is used to avoid instability caused by too large pitch rate change.

[0114] The main control unit dynamically corrects the above slope threshold according to the bus voltage fluctuation, and when the bus voltage fluctuation exceeds ±2.5%, the power adjustment slope threshold of the energy storage and the wind turbine is automatically reduced to prioritize stability., and the response effect under each slope threshold is simulated through digital twin simulation, and the threshold setting is dynamically optimized in combination with the simulation results and current operation data.

[0115] S3: Electrolytic cell pre-starting condition check, power step-up and grid-connected transition step-by-step start, combined with closed-loop temperature flow regulation and PID pressure management strategy for electrolytic hydrogen production, black start rollback and self-healing control.

[0116] In the pre-starting condition checking stage, when the system bus voltage and frequency are stable within the preset range, the main control unit controls the electrolytic cell to be powered on with an initial current not exceeding 10% of the rated current, and at the same time, the temperature sensor and the flow controller are used to keep the temperature rise rate not exceeding 2℃ / min, so that the structural materials of the electrolytic cell are in a safe stress state.

[0117] One preferred scheme for maintaining the temperature rise rate through the temperature sensor and the flow controller is:

[0118] ,

[0119] wherein, represents the temperature change amount, represents the time interval.

[0120] In the power coupling stage, the electrolytic cell is jointly powered by wind power and energy storage, the current allocatable power is calculated based on the remaining power after the wind storage system dispatching, and the electrolytic cell power is gradually increased to between 15%-100% of the rated power.

[0121] The electrolytic cell current is measured by a sensor.

[0122] The pressure valve is adjusted by a PID controller to maintain the internal pressure fluctuation within ±0.05MPa.

[0123] One preferred scheme for adjusting the pressure valve by the PID controller is:

[0124] ,

[0125] wherein, represents the pressure regulation value at time , represents the current pressure deviation, represents the PID proportion, represents the integral, represents the differential coefficient.

[0126] In the grid-connected transition phase, the electrolytic cell is stably connected to the load by adjusting the DC side voltage and the electrolysis current change rate.

[0127] A preferred scheme for adjusting the DC side voltage and the electrolysis current change rate is:

[0128] ,

[0129] wherein, represents the electrolytic cell power change amount, represents the time interval, represents the maximum allowed power change rate of the electrolytic cell.

[0130] Real-time monitoring of each sensor feedback signal dynamically adjusts the electrolytic cell operating state.

[0131] A preferred scheme for dynamically adjusting the electrolytic cell operating state is:

[0132] ,

[0133] wherein, represents the total amount of electrical energy consumed by the electrolytic cell during the entire operating cycle, represents the power of the electrolytic cell at time , represents the calculation period.

[0134] Through the use of blockchain technology to record key operating phase data in a distributed and tamper-proof manner, post-audit, abnormal playback, and control logic tracking functions can be achieved, enhancing operational transparency and security.

[0135] Performing black start rollback and self-healing control includes setting black start key monitoring indicators by the master control unit, and triggering a rollback mechanism based on state machine logic when the indicators exceed the set threshold.

[0136] The key monitoring indicators include bus voltage fluctuation, energy storage SOC, electrolytic cell temperature, and frequency fluctuation.

[0137] During the rollback process, the electrolytic cell power output is reduced to 50% of the current value, while triggering forced cooling, adjusting the electrolyte flow to the maximum set value, reducing the internal temperature and pressure.

[0138] During black start, real-time detection of voltage, current, temperature and other key operating indicators.

[0139] When any indicator is detected to exceed the safety threshold, the rollback mechanism is immediately executed, and during the rollback process, the electrolysis power is reduced to 50%, the electrolyte flow rate is forced to increase to speed up cooling, and the energy storage and wind power output are increased. The bus. The master control uses fuzzy logic to judge the fault level, and after recovery, the electrolytic cell operation is gradually restored according to the step strategy.

[0140] During the self-healing control process, the master control unit judges the fault level through fuzzy logic algorithm, and when the state is restored to each monitoring indicator below the set safety threshold, the electrolytic cell power output is gradually restored, and the load is adjusted according to the step-by-step start process.

[0141] The fault records and response data at each stage are stored in a blockchain for trusted storage.

[0142] Embodiment 2, refer to Figure 2 An off-grid new energy hydrogen production start-up control system is provided for an embodiment of the present application, which includes a bus voltage construction module 100, a wind and storage power optimization distribution and dynamic adjustment module 200, and an electrolytic hydrogen production start-up and rollback self-healing module 300.

[0143] Among them, S4: the bus voltage construction module 100 is used to establish the bus voltage based on the off-grid system architecture using energy storage zero step-up control and anti-interference communication.

[0144] It should also be noted that the bus voltage construction module 100 first establishes a stable bus voltage to provide a start-up condition for the wind and storage power optimization distribution and dynamic adjustment module 200.

[0145] S5: The wind and storage power optimization distribution and dynamic adjustment module 200 is used to adjust the wind turbine output power through the variable pitch power following strategy based on short-term wind speed prediction, and dynamically adjusts the power distribution ratio of the wind turbine and the energy storage device using the improved NSGA-II multi-objective optimization algorithm, and optimizes the device power output path and response rate. Factor.

[0146] It should also be noted that the wind and storage power optimization distribution and dynamic adjustment module 200 performs power distribution and dynamic adjustment after the bus voltage is stable, and sends a start-up instruction to the electrolytic hydrogen production start-up and rollback self-healing module 300 after the start-up requirement is met.

[0147] S6: electrolytic hydrogen production start and rollback self-healing module 300 is used for adopting electrolytic cell pre-start condition check, power ladder rising and grid-connected transition ladder start, cooperating with closed-loop temperature flow regulation and PID pressure management strategy to carry out electrolytic hydrogen production, and executing black start rollback and self-healing control.

[0148] It should also be noted that the electrolytic hydrogen production start and rollback self-healing module 300 performs a ladder start according to the state, and feeds back an adjustment signal to the bus voltage building module 100 and the wind storage power optimization distribution and dynamic adjustment module 200 through rollback and self-healing control in abnormal conditions.

[0149] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the parts of the present application that essentially contribute to the prior art or the parts of the technical solutions can be embodied in the form of a software product, which is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various program code storage media.

[0150] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered a list of executable instructions for implementing logic functions, which can be specifically embodied in any computer readable medium for use by or in conjunction with an instruction execution system, device or apparatus, such as a computer-based system, a system including a processor or other system that can fetch and execute instructions from an instruction execution system, device or apparatus. For the purpose of this specification, "computer readable medium" can be any device that can contain, store, communicate, propagate or transport programs for use by or in conjunction with an instruction execution system, device or apparatus, or in conjunction with these instruction execution systems, devices or apparatus.

[0151] More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection (electronic) having one or more wires, a portable computer diskette (magnetic), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer readable medium can be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, for instance via an optical scanner, then compiled, interpreted, or otherwise processed, using suitable tools, and then stored in a computer memory.

[0152] It should be understood that aspects of the application can be implemented in hardware, software, firmware or combinations thereof. In the embodiments described above, various steps or methods can be implemented, for example in software or firmware, stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, and in another embodiment, any of the following technologies, known in the art, or combinations thereof, can be used: discrete logic circuitry having logic gates for implementing logic functions upon an application of data signals, application specific integrated circuits having appropriate combinational logic gates, programmable gate arrays (PGA), field programmable gate arrays (FPGA), etc. It should be noted that the foregoing embodiments are merely meant to be illustrative of the technical solutions of the present application and are not limiting. Although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solutions of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical solutions of the present application, and all such modifications or replacements should be encompassed within the scope of the claims of the present application.

Claims

1. An off-grid new energy hydrogen production start-up control method, characterized in that, Comprise: Based on off-grid system architecture using energy storage zero voltage rise control and anti-jamming communication to establish bus voltage; By adjusting the output power of the wind turbine through the variable pitch power following strategy based on short-term wind speed prediction, combining with the equipment health state factor, an improved NSGA-II multi-objective optimization algorithm is used to dynamically adjust the power distribution ratio of the wind turbine and the energy storage device, and optimize the equipment power output path and response rate; Using electrolytic cell pre-starting condition check, step power climbing and grid-connected transition step starting, combined with closed-loop temperature flow regulation and PID pressure management strategy for electrolytic hydrogen production, black start fallback and self-healing control are executed; The electrolytic hydrogen production comprises, In the pre-starting check phase, when the system bus voltage and frequency are stable within the preset range, the main control unit controls the initial power-on of the electrolytic cell not to exceed 10% of the rated current, and at the same time, the temperature sensor and the flow controller are used to keep the temperature rise rate not exceeding 2℃ / min, so that the structural material of the electrolytic cell is in a safe stress state; In the step power climbing phase, the electrolytic cell is jointly powered by wind power and energy storage, the remaining power after the wind storage system dispatching is calculated to determine the current allocatable power, and the electrolytic cell power is gradually increased to 15%-100% of the rated power, and the internal pressure fluctuation is maintained at ±0.05MPa through the PID controller to adjust the pressure valve; In the grid-connected transition phase, by adjusting the DC side voltage and the electrolytic current change rate, the electrolytic cell is smoothly connected to the load, and the feedback signals of each sensor are monitored in real time to dynamically adjust the operating state of the electrolytic cell; The black start fallback and self-healing control comprises that the main control unit sets the black start key monitoring indicators, and when the indicators exceed the set threshold, the main control unit triggers the fallback mechanism based on the state machine logic; The key monitoring indicators comprise bus voltage fluctuation, energy storage SOC, electrolytic cell temperature, and frequency fluctuation; During the fallback process, the electrolytic cell power output is reduced to 50% of the current value, and at the same time, forced cooling is triggered to reduce the electrolyte flow to the maximum set value, thereby reducing the internal temperature and pressure; During the black start, the key operating indicators such as voltage, current, and temperature are detected in real time; When any indicator exceeds the safety threshold, the fallback mechanism is immediately executed, and during the fallback process, the electrolytic power is reduced to 50%, the electrolyte flow rate is forcibly increased to speed up the cooling, and at the same time, the energy storage and wind power are increased to stabilize the bus, the main control uses fuzzy logic to judge the fault level, and after recovery, the electrolytic cell operation is gradually restored according to the step strategy; During the self-healing control process, the main control unit judges the fault level through the fuzzy logic algorithm, and when the state returns to the condition that all monitoring indicators are lower than the set safety threshold, the electrolytic cell power output is gradually restored, and the load is re-adjusted according to the step starting process; The fault records and response data at each stage are stored in a blockchain for reliable storage; The adjusting the power distribution ratio of the wind turbine and the energy storage device comprises constructing a short-term wind speed prediction variable pitch power following strategy, combining an improved NSGA-II multi-objective optimization algorithm and a device health state factor, calculating a storage power change rate and setting a slope threshold value in stages, controlling the power adjustment rate of the energy storage system charging and discharging process, and dynamically adjusting the wind turbine variable pitch rate according to the wind speed prediction; The adjusting the power distribution ratio of the wind turbine and the energy storage device also comprises optimizing the slope threshold value of each device in real time through the master control unit in combination with the bus voltage fluctuation and the digital twin simulation result; The adjusting the power distribution ratio of the wind turbine and the energy storage device comprises, The optimal power distribution ratio of the wind turbine and the energy storage device is calculated by a multi-objective optimization algorithm, a multi-objective optimization function is constructed to minimize the wind power output deviation, the energy storage output deviation, the voltage fluctuation index and the black start time cost, and the power distribution optimization is performed in combination with the device health state factor; An improved NSGA-II multi-objective genetic algorithm is adopted, a crowdedness comparison operator and a non-inferior solution elite retention strategy are introduced to generate a Pareto optimal front solution set in the optimization process, and the optimal power distribution solution is determined by calculating the ideal point method Euclidean distance calculation formula; In the power distribution process, the output power of the wind turbine and the energy storage device is dynamically adjusted according to the optimization calculation result in combination with the load change, the bus voltage state and the wind speed prediction result collected in real time by the master control unit, the wind turbine prioritizes the reference power output task in the optimization algorithm result, and the energy storage adjusts the load response according to the prediction deviation and the health state to jointly meet the power demand.

2. The off-grid new energy hydrogen production starting control method according to claim 1, characterized in that: The energy storage zero-rise voltage control and anti-interference communication comprises, A time-sensitive network protocol is deployed in the independent microgrid architecture, and redundant link switching of critical control instructions is realized through Rapid Spanning Tree Protocol; An AES-256 advanced encryption algorithm and a CRC cyclic redundancy check mechanism are introduced for critical control data, an electrical physical model is established and dynamically controlled by a digital twin method, virtual simulation calculation is performed using real-time collected wind speed, bus voltage, energy storage state of charge and electrolytic cell operating parameters, and the control strategy of the microgrid bus voltage construction process is dynamically optimized based on the simulation result.

3. The off-grid new energy hydrogen production start-up control method according to claim 1 or 2, characterized in that: The establishing the bus voltage comprises, The bus voltage is established by the energy storage device in three stages of pre-charging, impedance matching and closed-loop voltage stabilization, and the initial charging current is limited by a pre-charging resistance network in the constant current limiting voltage mode in the pre-charging stage; In the impedance matching stage, based on the line parameter real-time identification technology, the matching degree of the energy storage output impedance and the equivalent impedance of the transmission line is dynamically calculated by introducing the TOPSIS algorithm based on the ideal point of non-inferior solution and using the ideal point relative closeness calculation formula based on TOPSIS, and the energy storage output impedance is adjusted to dynamically adapt to the transmission line impedance by selecting the optimal impedance matching scheme; In the closed-loop voltage stabilization stage, when the bus voltage reaches the preset value, the energy storage controller switches to the voltage-reactive power double-loop closed-loop control mode, and the bus voltage is stably raised to the rated voltage value by the controllable slope.

4. The off-grid new energy hydrogen production starting control method according to claim 3, characterized in that: The adjusting wind turbine output power comprises, A wind speed prediction model is established based on an improved long short-term memory network, historical wind speed change data and real-time wind speed, air pressure and temperature meteorological data collected by a meteorological station are input, the model is trained in combination with real-time operation data, and a sliding window mechanism is used to dynamically update model parameters; According to a prediction result output by the wind speed prediction model and a current power demand, a pre-adjustment instruction of a pitch angle is generated, an optimal pitch angle set value is determined by searching a wind speed-power mapping database, and a pitch angle adjustment amount is dynamically corrected by using a feedback compensation algorithm based on a deviation between a real-time power output of the wind turbine and the prediction demand; During the pitch angle adjustment process, according to response characteristics of the wind turbine in different wind speed intervals, a pitch angle rate limit value is set by the master control unit, so that the pitch angle adjustment rate is within a safety threshold, when the master control unit judges that the wind turbine is started and is in a stable operation state, and the output power of the wind turbine reaches 20% of the total system demand and is maintained for 60 seconds, the master control unit sends a pre-starting instruction to the electrolytic hydrogen production system; During the wind turbine power adjustment process, in combination with an equipment health state evaluation factor, a health state of each wind turbine is dynamically calculated by real-time monitoring of temperature, vibration and current fluctuation state parameters of the wind turbine, and the wind turbine with a good health state is preferentially dispatched to participate in power output.

5. The off-grid new energy hydrogen production start-up control method of claim 1, 2 or 4, characterized in that: The optimizing device power output path and response rate comprises, The power output path of the wind turbine and the energy storage device is dynamically adjusted by the master control unit based on an optimization algorithm, and the response rate of each device is controlled to adapt to the hydrogen production load change; For energy storage output path optimization, the output power change slope of the energy storage device is dynamically adjusted in combination with the state of charge of the energy storage and the prediction load change trend, the power change rate in the charging and discharging conversion process is controlled to be less than a set slope threshold, and the charging and discharging change rate of the energy storage is calculated by an energy storage power change rate calculation formula.

6. The off-grid new energy hydrogen production starting control method according to claim 5, characterized in that: The optimizing device power output path and response rate further comprises, The charging and discharging change rate of the energy storage is limited within the maximum slope threshold calculated by the master control unit, when the state of charge of the energy storage is greater than 80% and the health state factor is greater than 0.9, the maximum slope threshold allowed is not more than 0.5 kW / s; When the state of charge of the energy storage is greater than 50% and less than 80% and the health state factor is greater than or equal to 0.8, the maximum slope threshold is not more than 0.3 kW / s; When the state of charge of the energy storage is less than 50% and the health state factor is less than 0.8, the maximum slope threshold is limited to 0.1 kW / s.

7. The off-grid new energy hydrogen production start-up control method of claim 1, 2, 4 or 6, characterized in that: The maximum slope threshold comprises, For the slope threshold setting of the wind turbine, the current wind speed change trend is analyzed by the wind speed prediction model and historical operation data, the maximum slope threshold of the pitch angle change rate is dynamically set according to the predicted wind speed change rate and the system load adjustment demand, and in the stable stage of wind speed change, the pitch angle adjustment slope is set to be not greater than 1.5° / s; In the case of rapid wind speed change, the pitch angle adjustment rate is dynamically adjusted in combination with the load demand, and is not greater than 3° / s, and feedback compensation is used to avoid instability caused by too large pitch rate change; The main control unit corrects the above-mentioned slope threshold value in real time according to the bus voltage fluctuation, automatically reduces the power adjustment slope threshold value of the energy storage and wind turbine when the bus voltage fluctuation exceeds ±2.5%, preferentially ensures stability, and simulates the response effect under each slope threshold value through digital twin simulation, and dynamically optimizes the threshold setting combined with the simulation results and current operation data.

8. An off-grid new energy hydrogen production start-up control system for performing the off-grid new energy hydrogen production start-up control method of claim 1, characterized in that: The method comprises a bus voltage construction module (100), a wind storage power optimization distribution and dynamic adjustment module (200), and an electrolytic hydrogen production startup and rollback self-healing module (300). The bus voltage construction module (100) is used to establish bus voltage based on energy storage zero-rise voltage control and anti-interference communication of independent microgrid architecture; The wind storage power optimization distribution and dynamic adjustment module (200) is used to adjust the output power of the wind turbine through a variable pitch power following strategy based on short-term wind speed prediction, dynamically adjust the power distribution ratio of the wind turbine and the energy storage device by using an improved NSGA-II multi-objective optimization algorithm combined with the equipment health state factor, and optimize the equipment power output path and response rate; The electrolytic hydrogen production startup and rollback self-healing module (300) is used to perform electrolytic hydrogen production by using a step startup of electrolytic cell and startup condition checking, power step-up and grid-connected transition, cooperating with closed-loop temperature flow regulation and PID pressure management strategy, and executing black start rollback and self-healing control. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-8 when the computer program is executed by the processor. The processor executes the computer program to realize the steps of the off-grid new energy hydrogen production startup control method in any one of claims 1 to 7.

10. 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 off-grid new energy hydrogen production startup control method in any one of claims 1 to 7.

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