1768 results about "Hydrogen system" patented technology

The invention discloses an acoustic emission intelligent detection method and system for hydrogen-induced damage of a high-pressure hydrogen system, and the method comprises the steps: collecting a system operation signal through an acoustic emission sensor, carrying out the combined preprocessing of variational mode decomposition and adaptive wavelet threshold noise reduction, restraining noise, constructing a lightweight MobileNet-TCN network, carrying out the deep feature extraction, and carrying out the detection of the hydrogen-induced damage of the high-pressure hydrogen system. GRU and a three-dimensional point cloud technology are fused to realize submillimeter-level positioning of an acoustic emission source, a big data damage case library is associated based on an acoustic emission parameter accumulation model, dynamic assessment and early warning of damage risks are realized, multi-physics field monitoring data are combined, damage classification is optimized through a GCNs (Graph Convolutional Networks), and the above processes are systematically integrated. And full-chain intelligent processing from signal acquisition to risk early warning is completed. The scheme has the advantages of strong anti-interference capability, submillimeter positioning precision, high edge end reasoning efficiency, high damage classification accuracy and dynamic early warning capability, and is suitable for safety monitoring of hydrogen energy storage and transportation equipment.

The invention relates to the technical field of hydrogen production, in particular to a micro-grid hydrogen production system based on dynamic optimization control and a multi-mode energy scheduling method. Comprising a renewable energy power generation unit which comprises at least two distributed power supplies with different power generation characteristics; the multi-stage hydrogen production device is configured to receive the electric energy output of the renewable energy power generation unit and perform proton exchange membrane water electrolysis hydrogen production; the hybrid energy storage system comprises a super capacitor bank and a lithium ion battery pack which are connected in parallel to the direct current bus through a bidirectional DC / DC converter; the dynamic optimization controller is internally provided with a multi-time-scale coordination algorithm and is used for acquiring meteorological prediction data, load demand data and an energy storage SOC state in real time; the multi-mode scheduling module comprises three working modes including an island operation mode, a grid-connected operation mode and an emergency standby mode; according to the scheme, hydrogen production economy, equipment durability and power supply reliability can be considered at the same time.

The invention relates to an optimization method of an alkaline water electrolysis hydrogen production system based on multi-parameter cooperative control. The method comprises the following steps: acquiring real-time power and historical output data of renewable energy sources, environmental parameters and operation data of an electrolytic cell, and preprocessing the real-time power and historical output data, environmental parameters and operation data of the electrolytic cell; constructing a fusion renewable energy fluctuation prediction model, and inputting historical output data, environmental parameters and electrolytic cell operation data into the model to predict renewable energy fluctuation characteristics; establishing a wind-light output prediction model, and determining an optimal current density interval based on the real-time power of the renewable energy and the wind-light output prediction model; correcting the real-time electrolyte concentration by adopting a conductivity-pH dual channel, constructing a concentration-current two-dimensional compensation model, and inputting the corrected real-time electrolyte concentration into the model to obtain a target electrolyte concentration; and dynamically adjusting related parameters of the hydrogen production system, calculating a self-adaptive threshold value of the system, determining a grading response threshold value based on the self-adaptive threshold value, and controlling the hydrogen production system to operate. And high-efficiency hydrogen production and stable operation of the system are realized.

The invention provides a coordination control method for a photovoltaic off-grid hydrogen production system, which comprises the following steps of: acquiring voltage and current time domain signals of a photovoltaic array, constructing an impedance frequency characteristic mapping model through tensor decomposition and a radial basis function network, and calculating converter control parameters; based on converter control parameters and environment data, temperature-sensing-free self-correction photovoltaic characteristic prediction is achieved through electrical parameter indirect temperature estimation, and an MPPT reference track and a power prediction track are generated; multi-time-scale data coordination processing of millisecond-level electrical control, second-level pressure regulation and minute-level temperature optimization is executed, potential conflicts are solved, and an execution instruction set is generated; and generating and issuing a system comprehensive control instruction by adopting a double-layer deep reinforcement learning network. According to the method, the system efficiency and stability are improved, and the performance is excellent especially under the illumination fluctuation working condition.

The invention discloses a hybrid hydrogen production system coupled with photovoltaic renewable energy and an optimal configuration method, and relates to the technical field of new energy utilization and energy storage control, and the hybrid hydrogen production system comprises a photovoltaic power generation unit, an alkaline water electrolytic tank unit, a proton exchange membrane electrolytic tank unit, a hydrogen storage unit, a control unit and the like. Photovoltaic electric energy is directly supplied to the two types of electrolytic cell stacks through the direct current bus, a traditional DC-DC power converter is omitted, and loss in the energy transmission process is reduced; and through a dynamic electrolytic cell switching algorithm configured by the control unit, the input proportion and the number of operation units of the two stacks are changed and adjusted in real time, and the quick response capability and the long-term stability are both considered. The system can stably produce hydrogen under the condition of renewable energy fluctuation, can dynamically adapt to input power change, can realize maximum power point tracking control on the premise of not using extra power conversion equipment, and remarkably reduces initial investment cost and operation energy consumption while ensuring hydrogen production efficiency.

Herein discussed is a hydrogen production system comprising a first reactor zone and a second reactor zone, wherein both reactor zones comprise an ionically conducting membrane, wherein the first zone is capable of reforming a hydrocarbon electrochemically and the second zone is capable of performing water gas shift reactions electrochemically, wherein the electrochemical reforming reactions involve the exchange of an ion through the membrane to oxidize the hydrocarbon and wherein electrochemical water gas shift reactions involve the exchange of an ion through the membrane and include forward water gas shift reactions, or reverse water gas shift reactions, or both. In an embodiment, the membrane is mixed conducting. In an embodiment, the membrane comprises an electronically conducting phase and an ionically conducting phase.

The invention discloses a wind and light off-grid hydrogen production two-stage power optimization method considering reserved energy of energy storage, and belongs to the technical field of wind and light off-grid hydrogen production system power optimization, and the technical scheme is that the method comprises the following steps: S1, establishing a wind and light off-grid hydrogen production system mathematical model; s2, inputting minute-level wind and light historical data; s3, formulating a power distribution rule considering deep coupling of an electrolytic bath operation condition and energy storage preparation energy in a first operation stage, and determining hydrogen production power and hybrid energy storage initial distribution power; and S4, in the second operation stage, with the minimum unit hydrogen production cost and the minimum average charge and discharge depth of the storage battery as targets, the hybrid energy storage power is optimized by adopting an improved multi-target particle swarm algorithm. The method has the beneficial effects that the hydrogen production stability and the energy storage and power supply capacity can be improved, and the wind and light abandoning rate and the unit hydrogen production cost can be reduced.

The invention provides a fault diagnosis method and system for a water electrolysis hydrogen production system based on a graph neural network, and belongs to the technical field of water electrolysis hydrogen production, and the method comprises the steps: obtaining key operation parameters of the water electrolysis hydrogen production system; constructing a time-varying dynamic adjacency matrix based on the key operation parameters, wherein the time-varying dynamic adjacency matrix is obtained by weighting and fusing physical topological structure data and multivariate time sequence data through arbitration parameters; inputting the multivariate time sequence data into a time feature extraction module, and extracting time dependent features; inputting the dynamic adjacency matrix into spatial feature extraction module spatial dependency features based on the time dependency features; fusing the time dependency feature and the spatial dependency feature by adopting a time-space gating fusion mechanism to obtain a fused spatial-temporal feature; and a fault classification module is adopted to identify whether the water electrolysis hydrogen production system has a fault and a fault type based on the fusion features. The diagnosis method is high in accuracy and fast in response.

The invention discloses a photovoltaic photo-thermal coupling hydrogen production system control method for a hydrogen-burning heavy truck traffic network. The method comprises the following steps: S01, collecting operation data of a photovoltaic array, an electrolytic cell and a hydrogen storage tank; s02, based on a model prediction control algorithm, establishing a multi-objective optimization model containing an objective function and constraint conditions; s03, merging the sub-objective functions into a comprehensive objective function through a linear weighting method; s04, applying constraint conditions; S05, performing rolling optimization calculation by adopting a model prediction control algorithm; s06, outputting an optimal control variable; s07, adjusting corresponding parameters in the system; s08, monitoring the running state of the system; s09, whether the system meets constraint conditions is judged, according to the control method, through multi-target collaborative optimization and precise constraint control, the performance, efficiency, economical efficiency and safety of the photovoltaic photo-thermal coupling hydrogen production system can be remarkably improved, and clean, efficient and stable hydrogen energy supply is provided for a hydrogen combustion heavy truck traffic network.

The invention relates to the technical field of hydrogen storage and release, and discloses a cyclic hydrogen storage and release system based on aromatic cycloalkane reaction, which comprises a hydrogenation reaction unit, a dehydrogenation reaction unit, a gas-liquid separation and compression unit and an adsorption and purification unit which are sequentially connected through pipelines, the hydrogenation reaction unit, the dehydrogenation reaction unit and the gas-liquid separation and compression unit are respectively connected with the heat exchange unit; the hydrogen storage function and the hydrogen desorption function are integrally designed, the microwave heat supply dehydrogenation reactor is designed for the dehydrogenation reaction link with high energy consumption, and compared with the prior art, the microwave heat supply dehydrogenation reactor has the advantages that the heat transfer resistance is reduced, the reaction efficiency is improved, and the energy loss is reduced. The designed gas-liquid separation and adsorption purification technology is coupled, only one compressor is used in the whole process, the purification process is effectively simplified, the operation is simple and convenient, the equipment cost and the hydrogen purification cost are reduced, and the hydrogen yield and the hydrogen storage carrier cyclic utilization rate are improved. The system has the advantages of high hydrogen storage and release efficiency, small system size, high mobility and the like.

The invention discloses a multi-stage dynamic optimization method and system for a new energy flexible hydrogen production system, and the method comprises the steps: a day-ahead scheduling plan stage: formulating a next-day scheduling plan based on day-ahead prediction data; in the real-time monitoring stage, the output condition of the new energy power generation unit is monitored in real time through a sensor network; in the dynamic adjustment stage, the intelligent energy management system is used for dynamically adjusting the water electrolysis hydrogen production unit; in the hydrogen management and optimization stage, a hydrogen storage and transportation unit is intelligently managed; and in the multi-stage circulation optimization stage, the operation efficiency and economy of the system are continuously optimized through a closed loop feedback mechanism. The system comprises a new energy power generation unit, a water electrolysis hydrogen production unit, an intelligent energy management system and a hydrogen storage and transportation unit. Through the steps of real-time monitoring, dynamic adjustment, hydrogen management and optimization and multi-stage circulation optimization, the energy utilization efficiency is remarkably improved, the hydrogen production cost is reduced, the flexibility and stability of the system are enhanced, and powerful support is provided for development of the hydrogen energy industry.

The invention discloses an electro-hydrogen system safety domain dynamic regulation and control method based on digital twinning-reinforcement learning, and belongs to the field of power grid safety operation, and the method comprises the following steps: S1, constructing a multi-energy flow coupling model comprising new energy power generation, an electrolytic cell and a hydrogen storage tank; s2, decomposing a new energy original output sequence by adopting a method of combining continuous wavelet transform and an autoregressive moving average model to form time-frequency characteristics; s3, state space modeling considering space-time coupling; s4, generating a dynamic security domain based on digital twinning; s5, constructing a multi-target reward function, and solving by taking the dynamic security domain as a constraint; and S6, performing closed-loop verification and model evolution. By adopting the electric hydrogen system safety domain dynamic regulation and control method based on digital twinborn-reinforcement learning, safety domain dynamic adaptation and intelligent control of the electric hydrogen system under new energy fluctuation are realized, and the operation safety and economy of the system are remarkably improved.

The invention discloses a frequency regulation and control method and device for a water electrolysis hydrogen production system based on multi-energy cooperation, and relates to the technical field of automation of water electrolysis hydrogen production systems. The method aims to solve the problems that traditional regulation depends on a fixed threshold value or artificial experience, is difficult to adapt to multi-energy power grid frequency change, lacks system comprehensive monitoring and multi-index collaborative optimization and is difficult to regulate under renewable energy fluctuation. On the basis of multi-source data real-time monitoring and frequency characteristic analysis, the water electrolysis hydrogen production system can dynamically respond to power grid frequency fluctuation, equipment operation parameters are optimized through a self-adaptive regulation and control strategy, the influence of frequency disturbance on the hydrogen production process is effectively restrained, the cooperative compatibility of the water electrolysis hydrogen production system and a power grid is enhanced, and the hydrogen production efficiency is improved. Multi-index evaluation is carried out on the regulation and control strategy by means of a simulation model, so that efficient consumption of renewable energy sources and optimal control of energy consumption cost are realized; in combination with an edge calculation and prediction model, data acquisition frequency dynamic adjustment, abnormity early warning and strategy autonomous optimization are realized.

The invention relates to an offshore wind power-energy storage-hydrogen production system cooperative control method and device and a medium, and the method comprises the steps: collecting wind power plant operation data, energy storage system data and hydrogen production system data in real time, and obtaining a state vector; the state vector is input into a strategy network, a current action vector is calculated, the strategy network is obtained through training of a double-evaluator reinforcement learning framework, a first evaluator evaluates an economical efficiency target value function, and a second evaluator evaluates a safety target value function; the strategy network outputs a control instruction corresponding to the current action vector, and issues the control instruction to each execution device for adjustment, including adjusting fan operation parameters according to the axial induction factor and the yaw angle; adjusting the electrolytic cell input power according to the electrolytic load power; and controlling the charging and discharging operation of the energy storage system according to the energy storage power. Compared with the prior art, the method has the advantages of high collaboration, high adaptability, safety and the like.

The invention belongs to the technical field of thermal power plant safety analysis, and relates to a risk assessment method, system and device for a hydrogen storage system of a thermal power plant and a storage medium. Comprising the following steps: collecting operation data of the hydrogen storage system in real time, and preprocessing the data; based on the preprocessed data, utilizing a trained Bayesian LSTM model to predict the hydrogen leakage probability; if the hydrogen leakage probability exceeds a preset threshold value, CFD is combined with the preprocessed data to simulate a diffusion behavior after hydrogen leakage, and the severity of a leakage event is calculated based on a simulation result; and inputting the hydrogen leakage probability and the severity of the leakage event into a Bayesian network model, calculating a risk value, and triggering a grading early warning mechanism according to the risk value. According to the method, the sensitivity and accuracy of risk identification are improved, the scientificity of early warning decision making is enhanced, and intelligent guarantee is provided for safe operation of the hydrogen storage system of the thermal power plant.

The present invention relates, in general, to systems and methods for generating hydrogen from ammonia on-board vehicles, where the produced hydrogen is used as fuel source for an internal combustion engine. The present invention utilizes an electric catalyst unit operating in series with a plate-type heat exchange catalyst unit. The electric catalyst unit is used to initiate an ammonia cracking process on-board during a cold start or low load operating condition of the internal combustion engine, where the ammonia cracking process occurs in the heat exchange catalyst unit once exhaust gas from the internal combustion engine has been heated to a threshold temperature suitable to perform the ammonia cracking process.

The invention relates to the technical field of water electrolysis hydrogen production, and discloses a water quality control method and device, electronic equipment, a medium and a water electrolysis hydrogen production system.According to the scheme, dynamic data of the water electrolysis hydrogen production system are input into a prediction model, and the prediction model determines the conductivity of water according to the change rule of the conductivity of water along with dynamic influence factors; the change trend of the conductivity of the water in the water storage unit is predicted, and the path switching threshold value is determined based on the predicted change trend of the conductivity, so that the path switching threshold value is dynamically adjusted, and the change of the conductivity caused by power supply fluctuation, temperature change and the like of the PEM electrolytic cell can be coped with; and the switching frequency of the waterway switching unit is reduced while the standard-reaching rate of the water quality is improved. Moreover, the prediction model is obtained through training based on the output constraint condition, the condition that the conductivity of water in the water storage unit meets the preset water quality requirement and the switching frequency of the waterway switching unit is minimized, higher robustness is achieved for complex working conditions, and the accuracy of the conductivity change trend prediction result is improved.

The invention relates to the technical field of hydrogen production, in particular to a micro-grid hydrogen production system and method based on fuzzy logic control. Comprising a renewable energy power generation unit, an electrolytic cell array, a multi-type energy storage device, a power divider and a fuzzy logic controller, the renewable energy power generation unit is connected with the electrolytic cell array and the power divider through a direct-current bus, and the output end of the power divider is connected with the storage battery pack and the super-capacitor bank. The fuzzy logic controller collects the bus voltage fluctuation ratio, the electrolytic cell temperature gradient and the energy storage charge state in real time to serve as input variables, and outputs a multi-target optimization instruction to the power divider. Wherein the system dynamically adjusts the start-stop combination and the energy storage charge-discharge priority of the electrolytic cell array. According to the scheme, the mindset that fluctuation suppression and life management are separated in the prior art can be broken through, and a new paradigm of multi-parameter cooperative control is established.

Disclosed in the present invention are a hydrogen production and dissolution system and method. The hydrogen production and dissolution system comprises a power supply assembly, an electrolysis assembly, a treatment assembly, a reaction assembly, and a safety assembly. The treatment assembly comprises a gas-liquid separator, and the gas-liquid separator is communicated with an electrolyzer; the reaction assembly comprises a pressure booster and reaction tanks, the pressure booster has one end communicated with the gas-liquid separator and the other end communicated with the reaction tanks, the pressure booster pressurizes the reaction tanks, and an ultrasonic generator is provided in each reaction tank; and the safety assembly comprises leakage sensors, and each leakage sensor is arranged on a side of a corresponding reaction tank. The hydrogen production and dissolution method is used for controlling the hydrogen production and dissolution system. The present invention can directly dissolve the produced hydrogen in water, thereby reducing potential safety hazards while eliminating the need for storage and transportation devices.

The invention discloses a high-porosity organic salt framework confinement nano-metal hydrogen storage material and a preparation method thereof, and belongs to the field of new energy materials. The material takes a carboxylic acid organic salt framework (POS-1) as a carrier, the specific surface area of the material is 1520 m < 2 > / g, the pore size distribution is 1.8-2.5 nm, nano Mg / Ni particles (the average particle size is 3.2 + / -0.5 nm) are confined in pores through a gradient loading and in-situ reduction technology, and an atomic layer deposition (ALD) is adopted to modify a Pd nano catalyst (the loading capacity is 0.48 wt%). The reversible hydrogen storage capacity of the material at room temperature reaches 5.8 wt%, the hydrogen desorption temperature is lower than 80 DEG C, and the capacity retention ratio is larger than or equal to 92% after 100 times of circulation. The preparation method comprises the steps of organic salt framework synthesis, metal precursor gradient loading, low-temperature reduction (250 DEG C), hydrogenation activation and the like, the process is simple and controllable, and the catalyst is suitable for scenes such as a vehicle-mounted hydrogen storage system.

The invention belongs to the technical field of wind and light hydrogen storage resource allocation, and discloses a wind and light hydrogen storage scheduling method based on a sparrow search algorithm and related equipment. The wind-solar hydrogen storage scheduling method based on the sparrow search algorithm comprises the steps of constructing a wind-solar hydrogen storage operation day-ahead profit model according to a scheduling target of a wind-solar hydrogen storage system, obtaining a profit maximization objective function through the wind-solar hydrogen storage operation day-ahead profit model, and solving the profit maximization objective function by adopting the sparrow search algorithm. Obtaining a globally optimal solution, and scheduling the wind and light hydrogen storage system according to the globally optimal solution; the method can overcome the defects that in the prior art, the optimization speed is reduced during optimization scheduling, the randomness of an optimization scheduling result is high, and local optimum is likely to happen.

The invention relates to the technical field of hydrogen energy, in particular to a solid oxide electrolytic hydrogen production system and a control method thereof.The electrolytic hydrogen production system comprises water, a waste heat recovery module, a fused salt phase change energy storage module and a solid oxide electrolytic tank, and the waste heat recovery module comprises a water preheater and a steam heater; product gas generated by the solid oxide electrolytic tank passes through the water preheater and the steam heater in sequence; the fused salt phase change energy storage module comprises a fused salt reactor heat release device and a phase change energy storage fused salt reactor for providing heat for the fused salt reactor heat release device; after being powered by the water pump, water sequentially passes through the water preheater, the molten salt pile heat release device and the steam heater to absorb heat, is converted into water vapor and then flows to the solid oxide electrolytic tank; the fused salt phase-change energy storage module stores energy by using high-temperature phase-change mixed salt, and can convert low-ebb and low-price off-peak electricity of a power grid and abandoned electricity such as photovoltaic electricity and wind electricity into heat energy for storage, so that the consumption of electric energy is reduced, the energy utilization rate is improved, and the hydrogen production cost is reduced.

The invention relates to a solid oxide electrolytic cell hydrogen production system and an operation method thereof. The solid oxide electrolytic cell hydrogen production system comprises an SOEC galvanic pile module, a fan, an air electric heater, a steam superheater, a deionized water pump, a first preheater, a second preheater, a steam generator, a condenser, a high-pressure hydrogen cylinder, a high-pressure protective gas cylinder, a compressed air cylinder, a first electromagnetic valve and a second electromagnetic valve. Wherein the air electric heater is sequentially connected with the water vapor superheater and the SOEC stack module and can be used for heating air and water vapor at an inlet of the SOEC stack module. According to the embodiment of the invention, heating of air and water vapor at the inlet of the SOEC galvanic pile module is met by adopting the air electric heater, so that waste heat of mixed gas at the outlet of the SOEC galvanic pile module is utilized in a gradient manner, the electrolytic hydrogen production efficiency is effectively improved, meanwhile, the power consumption is effectively reduced, and the system is simple in design structure, convenient to realize low-cost manufacturing and suitable for popularization and application. And the high-efficiency and energy-saving electrolytic hydrogen production requirement can be met.

Systems and methods for producing green hydrogen from a source material (e.g., biowaste) are contemplated. The source material is at least partially dehydrated to produce a dried intermediate and recovered water. The dried intermediate is pyrolyzed to produce syngas and a char. The recovered water is electrolyzed to produce oxygen and green hydrogen.

The invention provides a hydrogen fuel electric light truck whole truck structure. The hydrogen fuel electric light truck whole truck structure comprises a cab, a container, a truck frame, a hydraulic tail plate system, a hydrogen system, an electric system, a cooling system and an air brake system. The hydraulic tail plate system comprises a hydraulic tail plate, a hydraulic tail plate oil original tank, a hydraulic tail plate controller and a hydraulic tail plate cross beam; the hydrogen system comprises a hydrogen fuel electric pile, a left hydrogen storage tank, a right hydrogen storage tank, an air inlet air filter and an exhaust silencer; the power system comprises a battery pack, an all-in-one unit, a DCDC, a DCAC, a PTC, a hydrogen stack high-voltage box, a battery high-voltage box, a charging port and a low-voltage power supply unit; the cooling system comprises a high-pressure radiator, a low-pressure radiator, a low-pressure radiator water replenishing tank, a high-pressure radiator water replenishing tank, an air conditioner condenser, an air conditioner electric compressor and an integrated kettle; the air brake system comprises an inflating pump, a drying tank, a lower air cylinder, an upper air cylinder, a front axle and an electric drive axle. The layout of the whole truck can be optimized, so that the hydrogen fuel electric light truck can be compatible with an air brake and a hydraulic tail plate.

The invention relates to the technical field of hydrogen energy, in particular to a non-catalytic solid hydrogen storage material hydrogen release system and application thereof. The water storage unit is connected with the PEM hydrogen fuel cell reaction unit through a first pipeline; the non-catalytic hydrogen release unit is connected with the water storage unit through a second pipeline; a flow pump and a first electromagnetic valve are arranged on the second pipeline; the first electromagnetic valve is jointly controlled by a pressure sensor and a first flow controller; and the hydrogen buffer unit is connected with the non-catalytic hydrogen release unit and the PEM hydrogen fuel cell reaction unit through a third pipeline and a fourth pipeline respectively. The quick response and efficient hydrogen supply effects of the system are realized by utilizing the characteristic that the non-catalytic solid hydrogen storage material quickly releases hydrogen at a second level under the conditions of near room temperature and low pressure; wastewater generated by the PEM hydrogen fuel cell reaction unit is used as a reaction reagent of the non-catalytic hydrogen release unit, so that water circulation is realized, the amount of water initially carried by the system is reduced, and the weight of the system is reduced.

The invention relates to the technical field of new energy hydrogen production, and discloses a method for measuring and calculating new energy consumption in a hydrogen production process by combining real-time data. The method comprises the steps that hydrogen production system operation parameters and new energy power generation data are obtained, the hydrogen production system operation parameters comprise an electrolytic cell voltage fluctuation curve and a hydrogen purity detection value, and the new energy power generation data comprise a wind power prediction deviation rate and a photovoltaic actual output curve; establishing a new energy consumption evaluation model, performing time sequence alignment on the voltage fluctuation curve of the electrolytic cell and the wind power prediction deviation rate, and generating a dynamic matching degree index set; based on the set, a multi-scale feature extraction network is called to analyze a photovoltaic actual output curve, and a fusion analysis result containing output stability and absorption potential features is obtained; and inputting a result into the absorption amount optimization model for adaptive weight distribution, outputting a new energy absorption amount measurement value containing a time dimension absorption efficiency sequence and a hydrogen production equipment response parameter, and adapting to new energy absorption evaluation and scheduling requirements in hydrogen production.