7040 results about "Electrolytic cell" patented technology

The invention discloses an operation state monitoring method and system for AEM water electrolysis hydrogen production equipment, particularly relates to the technical field of electrolytic bath operation monitoring control, and aims to solve the problem of efficiency nonlinear fluctuation caused by polarization mode alternating dominance and microstructure degradation under a low current density working condition in the prior art. Extracting polarization fluctuation characteristics by generating a dynamic response sequence and calculating a dynamic coupling degree to identify a polarization alternating dominant mode; analyzing a local blocking probability based on frequency characteristics, positioning an active site sparse region in combination with temperature gradient spatial distribution characteristics, and generating an efficiency fluctuation evaluation coefficient; an active site sparse region and a dynamic compensation factor matrix of a cathode flow field pressure gradient are constructed to cooperatively adjust an anode current density distribution weight and a cathode pressure gradient parameter, so that an adjusting variable is accurately matched with a local blocking probability and a dynamic coupling degree; the multi-scale correlation analysis of the microcosmic degradation state and the macroscopic efficiency fluctuation of the electrolytic cell is realized, and the operation stability under the low current density is remarkably improved.

The invention discloses a DC bus voltage fluctuation suppression method of a renewable energy hydrogen production system, and relates to the technical field of renewable energy electrolysis hydrogen production. The method comprises the following steps: collecting system operation parameters in real time; bus voltage disturbance power is estimated based on a disturbance observer, and frequency decomposition is carried out; fusing the ARIMA model and the LSTM model to predict the load power, and calculating a prediction deviation; dynamically setting upper and lower limits of a bus voltage control interval according to the predicted deviation and the operation state; a multi-objective optimization function is constructed, bus voltage disturbance power, prediction deviation and a control limit value are comprehensively considered, and power regulation instructions of battery energy storage, a fuel cell and an electrolytic cell are solved; and executing power regulation control to realize bus voltage stabilization. The method can improve the grading response capability of voltage disturbance, the prediction accuracy of load power change, the adaptability of the control boundary and the overall operation stability of the system, and is suitable for the electric energy quality control of the hydrogen production system in a multi-source fluctuation scene.

The invention discloses a differentiated precise current distribution control method in a multi-workpiece batch electroplating process. The method comprises the following steps: acquiring multi-workpiece feature data and preprocessing the multi-workpiece feature data; workpiece difference characteristic analysis and grouping are carried out; modeling and analyzing the electric field distribution of the electrolytic cell; plating layer growth dynamic monitoring and prediction are carried out; and generating a differential current distribution strategy. A multi-frequency differential resistance spectrum acquisition system is adopted to realize real-time monitoring of plating layer growth, an improved independent component analysis algorithm fused with spatial constraint is applied to perform workpiece group resistance spectrum decoupling, and micro-area accurate current modulation is realized through a self-adaptive waveform library of an electric field distortion area. The problems that dynamic characteristics of plating layers are difficult to monitor and differentiation control of workpieces with similar characteristics is insufficient in multi-workpiece electroplating are solved, and the quality consistency of the plating layers is improved.

The invention discloses a one-key starting system and method for an alkaline water electrolysis hydrogen production device, the system comprises a control system and a one-key starting control unit, and the control system is connected with the one-key starting control unit; the one-key start control unit comprises a standby panel soft button, a start panel soft button, a make-up pump selection soft button and a drainage panel soft button; therefore, the whole starting process of the alkaline water electrolysis hydrogen production device is subjected to sequential control integration, a safe and efficient one-key starting scheme with high automation degree is formed, safety risks in the manual starting process are avoided, manpower is saved, the labor cost is reduced, meanwhile, the starting time is shortened, unnecessary energy waste in the starting process is reduced, and the starting efficiency is improved. Therefore, the problems that the starting speed of the cluster electrolytic cell is low and the starting operation difficulty of the cluster electrolytic cell is high due to human factors in a large-scale electrolytic hydrogen production project are solved.

The invention relates to the field of durability testing of anion-exchange membrane electrolytic cells, in particular to a durability testing method of an anion-exchange membrane electrolytic cell. The durability testing method for the anion exchange membrane electrolytic cell comprises the following testing steps: S1, assembling the electrolytic cell; s2, activation and initial testing; s3, accelerated durability test: (a) running for 100 hours under the rated current density; (b) running for 100 hours at high current density; (c) periodically and alternately operating for 100 hours at the rated current density and the high current density; and S4, evaluating after testing. According to the application, load fluctuation in practical application is simulated through dynamic working conditions, and a degradation process similar to long-term steady-state operation can be induced within 300 hours in combination with a high-current-density acceleration condition. According to the method, the period of several months or even one year required by a traditional steady state test is shortened to several weeks through scientific design of a test process, and meanwhile, the consistency of a test result and an actual working condition is ensured.

The invention provides a water electrolysis hydrogen production monitoring and control method with dynamic fluctuation adaptability, and relates to the technical field of hydrogen production. Comprising the steps that a multi-dimensional operation parameter set of an electrolytic cell is collected in real time through a multi-source sensor array, an electrolysis process prediction model is established based on the LSTM and the CNN neural network, and therefore the prediction result of the electrolysis state is determined. And according to the prediction result, a dynamic parameter adjustment matrix is constructed, and the electrolytic current density, the electrolyte concentration and other key parameters of the electrolytic cell are adjusted for the first time through fuzzy PID control. After adjustment, the multi-dimensional operation parameter set is updated, the health degree index of the electrolytic cell is calculated, and the relation between the index and a preset health index threshold value is monitored in real time. And second-time adjustment is carried out according to the monitoring result, so that safe and efficient operation of the electrolytic cell under the dynamic fluctuation condition is ensured. The problems that in the prior art, an electrolytic cell is slow in response to load change, insufficient in monitoring capacity, dependent on manual maintenance and the like are effectively solved.

The invention provides an electrolytic bath three-dimensional temperature field reconstruction method and system based on multi-physics field coupling, and belongs to the technical field of energy equipment thermal management, and the reconstruction method is applied to a reconstruction system comprising an acquisition module, a first processing module, a second processing module, a third processing module, a fourth processing module and a rendering module. The method specifically comprises the following steps: layering a three-dimensional model of the electrolytic cell according to a Z-axis direction, establishing a hierarchical database and setting a reference layer; generating initial temperature field distribution of the reference layer based on an anisotropic radial basis function interpolation algorithm; and establishing an electric-thermal-flow coupling equation, solving according to the hierarchical database, obtaining temperature field distribution of a reference layer, mapping the temperature field distribution to a three-dimensional space, correcting the temperature field distribution by combining interlayer temperature attenuation and a transverse thermal diffusion effect, obtaining target temperature field distribution, and carrying out visualization processing on the target temperature field distribution. Nonlinear temperature distribution of the electrolytic cell can be completely reproduced, and the accuracy of three-dimensional temperature field reconstruction of the electrolytic cell is guaranteed.

The invention relates to a multi-cell control method for hydrogen production alkaline electrolytic cells based on nonlinear model predictive control, which belongs to the technical field of hydrogen production and comprises the following steps of: performing data acquisition on key positions of a hydrogen production alkaline electrolytic cell system in real time; based on the dynamically determined priority of each electrolytic cell, dynamic load distribution of each electrolytic cell is carried out, and a multi-dimensional cooperative regulation strategy is implemented to obtain a hydrogen yield target value of each electrolytic cell; constructing a nonlinear model comprising an electrolytic reaction model, a heat transfer model and an inter-tank coupling model, and performing parameter identification and verification; and designing a nonlinear model predictive control algorithm, performing discretization processing on the nonlinear model, introducing Kalman filtering to process the uncertainty of the model, taking a corresponding hydrogen yield target value reached by each electrolytic cell on the premise of meeting the constraint as a final control target, constructing an optimized target function, and performing solving to obtain an optimal control scheme. Compared with the prior art, the control precision and the system stability can be effectively improved.

The invention discloses a Coanda effect-based sand-proof and dust-proof device for an electrolytic bath, which is characterized in that a surrounding dust cover structure which is in flexible contact with the electrolytic bath or keeps a non-contact gap with the electrolytic bath is formed at the periphery of a full-load-bearing movable bracket, and the dust cover structure forms a semi-closed protection structure between a foundation and the electrolytic bath; dustproof cover structures composed of fences are arranged on the two sides of a foundation with profile steel as the foundation, each dustproof cover structure at least comprises a vertical fence wall arranged on the side portion of the full-bearing type movable bracket, the bottom of each vertical fence wall is connected with the foundation, and the top of each vertical fence wall makes flexible contact with the electrolytic cell or forms a non-contact gap with the electrolytic cell. A continuous variable-curvature Coanda curved surface is adopted, the airflow speed is increased through the wall attachment effect, a laminar flow air curtain is formed, and curvature-flow velocity coupling optimization is formed. Compressed air is injected through the narrow slit nozzle, ambient air is pried to form a large-flow air curtain, the actually measured air curtain coverage area is 3.2 times that of a traditional flow guide plate, and the unit energy consumption is reduced by 57%.

The invention belongs to the technical field of source and load storage optimal configuration, and particularly relates to a hydrogen energy storage-containing high-speed service area source and load storage optimal configuration method and device, and the method comprises the steps: constructing a high-speed service area architecture comprising a photovoltaic array, an energy storage battery, a hydrogen fuel cell, an electrolytic cell, a hydrogen storage tank and a load; constructing a storage battery model and a hydrogen energy storage system model; establishing a multi-service-area collaborative optimization model; establishing an upper-layer model and setting constraint conditions of the upper-layer model by taking minimization of the internal total operation cost and investment cost of the high-speed service area as a target function; establishing a lower-layer model and setting constraint conditions of the lower-layer model by taking the minimum single-day operation cost of the high-speed service area as an objective function; and taking the upper-layer model as a planning layer, taking the lower-layer model as an operation layer, and iteratively solving the double-layer model to obtain a high-speed service area source-load-storage optimal configuration scheme. Through collaborative optimization of the hydrogen energy storage system and the multiple service areas, the operation cost is remarkably reduced, and the reliability and economical efficiency of the high-speed service area are improved.

The invention discloses a preparation method and application of an amorphous nickel-cobalt-iron phosphate anode catalyst, and belongs to the technical field of alkaline water electrolysis hydrogen production, the preparation method comprises the following steps: (1) dissolving transition metal salt in a solvent, and stirring to obtain a metal salt solution; (2) dissolving phosphate in a solvent, and stirring to obtain a phosphate solution; and (3) adding the phosphate solution into the metal salt solution for reaction, washing with deionized water and ethanol, centrifugally separating, and drying to obtain the amorphous nickel-cobalt-iron phosphate anode catalyst. According to the preparation method and application of the amorphous nickel-cobalt-iron phosphate anode catalyst, process safety improvement and environmental friendliness optimization are achieved through an all-water-phase green synthesis system, the obtained catalyst shows excellent performance in an AEM electrolytic cell, the cell voltage is only 1.87 V under the current density of 2 A / cm, and the method has remarkable industrial application prospects.

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.

The invention relates to the technical field of renewable energy hydrogen production and intelligent control, discloses a multi-target prediction control method and system based on an ALK-PEM hybrid electrolytic cell array, and solves the problems that in the prior art, wind and light power generation fluctuation cannot be deeply adapted, and hydrogen production economy, response speed and long-term reliability of equipment are difficult to consider. According to the scheme, the method comprises the following steps: obtaining wind-solar power generation power prediction data, and operating parameters and health state indexes of each ALK and PEM in a hybrid array to form a time sequence data set; a hybrid array prediction model based on data driving is constructed, a multi-target cost function is constructed by taking maximization of wind and light absorption, stable hydrogen production and minimization of equipment life loss as targets, rolling optimization is performed on the model, and an optimal power set point sequence of each electrolytic cell in a future preset time domain is solved; and in combination with the operating characteristic difference of the ALK and the PEM, a differential control instruction is generated and executed, and meanwhile, dynamic grouping management is performed on the hybrid array according to the wind-solar power prediction data and the health state of the electrolytic cell.

The invention relates to the technical field of storage systems, in particular to an electrolytic cell test data cloud storage method, which comprises the following steps: performing timestamp marking and partition size calculation on electrolytic cell test data, aggregating the data into partitions with fixed sizes according to timestamps, calculating a data density value and a write-in rate value of each partition, obtaining a partition data set, and storing the partition data set into a database; and comparing the write-in rate value in the partition data set with a preset partition threshold value. According to the method, through a dynamic partition management and multi-path data flow processing mechanism, in the storage process of the test data of the electrolytic cell, the data is subjected to partition aggregation through timestamp marking, a data density value and a write-in rate value reflect the dynamic change of the partition, and the size of the partition is adjusted in real time to cope with the fluctuation of a data write-in load. Multi-channel data stream distribution and merge sorting improve concurrent processing performance and eliminate single-channel bottleneck restriction. A double-buffer-area framework is matched with data access frequency analysis to support intelligent migration of cold and hot data, and IO resource configuration is optimized.

The invention relates to the technical field of industrial process control, and discloses an intelligent optimization control method of an alkaline water hydrogen production system, which comprises the following steps: a controller synchronously acquires real-time voltage, current and temperature data of an electrolytic bath; theoretical reversible voltage is calculated according to a Nernst equation, ohm voltage drop is eliminated, and a bubble additional impedance value representing the bubble coverage degree is analyzed; performing differential processing on the change rate of the bubble additional impedance value to generate a flow feed-forward control instruction, combining a feedback control instruction based on temperature deviation to synthesize a target rotating speed instruction, and driving an alkali liquor circulating pump to adjust the flow speed; according to the method, the bubble impedance observation model is constructed, so that zero-delay sensing and decoupling control over the state of bubbles in the electrolytic cell are achieved, hysteresis of single temperature feedback is eliminated, and the problems of actuator saturation and model aging drifting are solved.

The invention discloses a PEM electrolytic cell GDL performance test method and system based on multi-dimensional parameters. The method comprises the steps that a sensor array is used for collecting the gas transmission rate, conductive resistance and mechanical deformation data in real time when a GDL gas diffusion layer operates; preprocessing and synchronously analyzing the acquired data to generate a feature matrix with multi-dimensional performance parameters; based on the generated feature matrix, a deep reinforcement learning algorithm is adopted to dynamically adjust test conditions so as to optimize a test process; performing comprehensive scoring on test results under different working conditions by using an adaptive weighted fusion algorithm; and according to the comprehensive score and the actual working condition demand, dynamically adjusting the test process through a feedback control mechanism until the test result meets the actual working condition demand. Through the integrated sensor array module, real-time monitoring and analysis of multi-dimensional parameters are realized. The comprehensive performance of the GDL in an actual working condition environment can be comprehensively considered through the multi-dimensional parameter comprehensive evaluation capability, and a more comprehensive and accurate basis is provided for performance evaluation of the GDL.

The invention provides an optimization scheduling method and system for power distribution of an electrolytic cell group under a wind power fluctuation condition, and relates to the technical field of wind power grid-connected power generation control, and the method comprises the steps: collecting wind power plant power data and electrolytic cell operation parameters, carrying out the adaptive segmentation processing of the power data, constructing a fluctuation feature space, predicting the fluctuation risk, and carrying out the optimization scheduling of the power distribution of the electrolytic cell group. And an electrolytic cell regulation capability evaluation system is established and dynamically grouped, and a power regulation matrix is constructed to calculate an optimal power distribution proportion, so that coordinated regulation of wind power fluctuation by the electrolytic cell group is realized, and the system operation stability and the energy utilization efficiency are improved.

The invention belongs to the technical field of water electrolysis hydrogen production diaphragms, and relates to coating slurry for a composite diaphragm in an alkaline electrolytic cell and a preparation method of the coating slurry. The coating slurry comprises a high-molecular polymer, an inorganic hydrophilic oxide, a polymer electrolyte, a pore-foaming agent and an organic solvent. The high-molecular polymer is polysulfone, and the inorganic hydrophilic oxide is titanium dioxide; and the polymer electrolyte is acacia gum. And the pore-foaming agent is polyvinylpyrrolidone. Titanium dioxide is used as a filler, so that the hydrophilicity of the hydrophobic polysulfone membrane can be improved, and the transfer of hydroxyl ions is facilitated. Hydroxyl, amino and other hydrophilic groups of the acacia gum are migrated to a membrane-water interface, and the groups and a membrane matrix are combined to form a hydrogen bond network, so that the stability and the water adsorption capacity of the membrane are enhanced, and the composite membrane with low surface resistance, smooth surface, compact coating and good mechanical capacity is obtained. The nylon and the acacia gum are adopted, cost is low, and large-scale production is facilitated.

A process produces aliphatic monocarboxylic acids and α,ω-dicarboxylic acids or α,ω-dicarboxylic monoesters by electrochemical oxidation of unsubstituted or at least monosubstituted, monounsaturated or polyunsaturated fatty acids or fatty acid esters in the presence of an inorganic or organic nitrate salt in an electrolysis cell in a reaction medium in the presence of oxygen.

The invention provides an electrolytic bath impedance measurement method and system considering dynamic disturbance, and relates to the field of electrochemical equipment, and the system comprises a direct current power supply module which is used for providing a direct current power supply for an electrolytic bath; the parameter optimization module is used for determining an optimal disturbance frequency band and an optimal disturbance parameter according to the working condition of the electrolytic cell and the equivalent circuit model of the electrolytic cell; the alternating current disturbance module is used for injecting a dynamic disturbance signal to the electrolytic cell according to the optimal disturbance frequency band and the optimal disturbance parameter; the feedback acquisition module is used for acquiring feedback data of the electrolytic bath on the dynamic disturbance signal; and the impedance analysis module is used for calculating the impedance of the electrolytic cell based on the feedback data, and has the advantage of realizing accurate measurement of the impedance of the electrolytic cell under the dynamic working condition.

The invention discloses a method for producing ethanol through electrocatalytic reduction of carbon dioxide and membrane coupling, and belongs to the technical field of electrochemical reduction and membrane separation coupling. After the alcohol-permeable membrane is arranged in the electrolytic tank, the selectivity of the alcohol-permeable membrane is utilized to separate the liquid-phase product ethanol and remove the product, so that the chemical equilibrium can be promoted to proceed forwards, the electrochemical reaction is promoted, the selectivity and the overall conversion efficiency of the reaction are improved, and the high-purity ethanol can be obtained; the device for preparing ethanol through electroreduction is scientific and reasonable in structure, safe and convenient to use, low in cost and short in treatment flow, and the selectivity of ethanol in the reaction process and the collection process is improved.

The invention relates to the technical field of water electrolysis hydrogen production, and discloses a method and system for evaluating the operation performance of an alkaline water electrolysis hydrogen production device, and the method comprises the steps: 1, deploying a distributed sensor network, collecting the operation data of an electrolytic cell, building a multi-physical field coupling model, and calibrating a model parameter matrix; and step 2, constructing an electrode damage evolution model based on the model parameter matrix, processing acoustic emission signals acquired by the sensor network, extracting crack characteristic parameters, calculating real-time damage degree, and generating graded early warning signals. According to the technical scheme, the distributed sensor network is adopted to collect the multi-physical field data, and the coupling model is established to calibrate the parameter matrix, so that the technical effect of a multi-dimensional parameter dynamic coupling relation is achieved; the defects of large energy efficiency evaluation deviation and low reliability caused by neglecting of multi-field interaction in a traditional method are overcome.

The invention discloses an adaptive evaluation method for the health degree of an electrolytic cell, and the method comprises the following steps: collecting the multi-dimensional operation parameters of the electrolytic cell in real time, and carrying out the preprocessing of the collected time series data, so as to construct a training sample with a time window; extracting a multi-scale time sequence feature from the training sample to form a feature vector; inputting the feature vector into a weight adjustment network, and outputting a dynamic weight vector; weighting the feature vector by using the dynamic weight vector to generate a weighted feature vector; inputting the weighted feature vector into a performance prediction model, and outputting a short-term performance prediction value of the electrolytic cell at a future moment; after the corresponding real performance value is obtained, calculating a prediction error of the short-term performance prediction value, and constructing a reinforcement learning reward signal based on the prediction error; updating a strategy of the weight adjustment network through a reinforcement learning algorithm by utilizing a reward signal, thereby optimizing dynamic weight vector generation at a subsequent moment; based on the dynamic weight vector and the feature vector at the current moment, a comprehensive health degree index of the electrolytic bath is obtained through calculation; according to the method, main factors influencing the equipment health degree in different stages are intuitively revealed, and a basis is provided for operation and maintenance decision making.

The invention discloses a water electrolysis hydrogen production control method and device based on wind and light power generation and electronic equipment. The method comprises the following steps: acquiring the operation cost, the electrolytic cell efficiency and the power grid interaction power variation of the wind-solar hybrid power generation hydrogen production system in a first sampling interval; constructing a target function based on the operation cost, the electrolytic cell efficiency and the power grid interaction power variation; determining the wind power generation predicted power of a wind power generation system in the wind-solar hybrid power generation hydrogen production system in the prediction time period and the photovoltaic power generation predicted power of a photovoltaic power generation system in the prediction time period according to a second sampling interval; and based on the wind power generation predicted power and the photovoltaic power generation predicted power, determining a water electrolysis hydrogen production control strategy (including an electrolytic cell power instruction value and an energy storage compensation power instruction value) by taking the minimum function value of the target function as a target. According to the invention, the technical problems of unbalanced power supply and demand and unstable power grid interaction in the wind-solar hybrid power generation hydrogen production system in the prior art are solved.

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 discloses a method for improving the production quality of electrolytic aluminum based on an electrolytic cell. According to the invention, by systematically optimizing the structure and the production process of the electrolytic cell, the quality and the production sustainability of an electrolytic aluminum product are remarkably improved. In the aspect of environmental protection treatment, dry purification and carbon dioxide mineralization technologies are adopted, and a waste heat gradient utilization system is combined, so that emission of pollutants such as fluorides and carbon dioxide is greatly reduced, waste heat in the production process is converted into reusable steam energy, and enterprises are promoted to be transformed to be green and low-carbon. Meanwhile, the micro-grid integrates application of renewable energy sources, dependence on traditional energy sources is further reduced, an ecological chain of efficient resource circulation is formed, and the development bottleneck of high energy consumption and high pollution in the electrolytic aluminum industry is effectively relieved.

The invention discloses an optimized operation method of a grid-connected wind power hydrogen production system considering operation characteristics of an electrolytic cell. Firstly, whether a wind power plant meets grid-connected fluctuation requirements is obtained and judged; extracting a wind power output power grid-connected component and a fluctuation component from the original wind power which does not meet the requirement by adopting a wavelet packet decomposition method; an electrolytic cell array and other flexible resources are introduced to stabilize wind power fluctuation, and a PEMEL electrolytic cell start-stop operation strategy is formulated; and finally, constructing an operation constraint model of the wind power hydrogen production system, and realizing optimized operation of the wind power hydrogen production system based on the formulated electrolytic cell start-stop operation strategy. Based on the energy efficiency characteristics of the electrolytic cell, the method can effectively improve the hydrogen production efficiency of the electrolytic cell, thereby improving the overall benefit of the system. The adopted electrolytic cell starting and stopping strategy can be suitable for electrolytic cell array hydrogen production in multiple scenes, and under the condition that the requirement for stabilizing wind power fluctuation is met, the system operation hydrogen production income and the system overall hydrogen production efficiency serve as evaluation indexes of strategy effectiveness.

The utility model belongs to the technical field of bromine extraction electrolytic baths, and particularly relates to a series-parallel connection combined bromine extraction electrolytic bath and bromine extraction equipment. The electrolytic bath is packaged and formed through a bath body packaging structure, an electrolytic ion membrane is arranged in the middle of the interior of the electrolytic bath, the electrolytic bath is divided into a cathode chamber and an anode chamber through the electrolytic ion membrane, and electrolytic plates are arranged on the two sides of the electrolytic ion membrane; a cathode water inlet pipe is arranged in the middle of the cathode chamber, a cathode gas outlet pipeline is arranged at the top, and a cathode liquid outlet pipeline is arranged at the bottom; an anode gas outlet pipeline is arranged at the top of the anode chamber; and an anode liquid outlet pipeline is arranged at the bottom. The electrolytic cells can be connected in series or in parallel, bromide ions with different concentrations can be treated, and the treatment capacity can be adjusted according to the water volume; the problem of enrichment of hydrogen in the electrolytic bath is solved, and the pressure in the electrolytic bath is balanced; the function tank achieves the effects of gas-liquid separation, temperature control and water inlet adjusting and buffering.

The invention belongs to the technical field of green hydrogen preparation, discloses an intelligent monitoring method for hydrogen impurities in oxygen in an electrolytic cell system, and solves the problems of response lag, high false alarm rate, incapability of dynamically adjusting working conditions and lack of prediction capability in the prior art. According to the method, the hydrogen concentration in oxygen and key operation parameters of an electrolytic cell are preprocessed, then multi-dimensional correlation analysis is carried out, a dynamic characteristic matrix is constructed, then a hydrogen concentration prediction model is trained based on the constructed dynamic characteristic matrix, and an SVM classifier is adopted to carry out abnormal mode recognition; in the monitoring process, if the predicted hydrogen concentration exceeds a threshold value or an abnormal mode is recognized, grading response is triggered, operation of the electrolytic cells is controlled by adopting a closed-loop control strategy according to real-time detection values of key operation parameters of the electrolytic cells, and finally transverse data comparison of the multi-electrolytic-cell system is achieved through a cloud collaborative optimization technology. And identifying common problems and providing maintenance suggestions.

The present disclosure relates to the technical field of new energy power generation, and provides an operation control method for an electric-hydrogen coupling system, and an electric-hydrogen coupling system. According to the present disclosure, prediction related parameters corresponding to power station power and power station power instruction related parameters are acquired, and in order to achieve optimal economic efficiency while meeting grid power exchange limitation requirements, a power station power adjustment instruction and an electrolytic cell power adjustment instruction corresponding to each moment are acquired.