3178results about "PV power plants" patented technology

The invention provides a method and system for monitoring the running state of a photovoltaic power station in real time, and relates to the technical field of photovoltaic power station monitoring, and the method comprises the steps: integrating a multi-mode sensor array in a photovoltaic module junction box, and collecting the sensor data of the photovoltaic power station in real time; performing localization preprocessing on the sensor data through an edge computing node, and transmitting different priority data to a cloud based on a dynamic hybrid communication protocol; sensor data are fused at the cloud, a four-dimensional digital twinborn model is constructed, and time-space continuous meteorological prediction, component aging and dust retention evolution data are fused; recognizing the fault mode of the photovoltaic power station, and dynamically optimizing the string topological structure of the photovoltaic power station in combination with the real-time operation state of the photovoltaic power station, the equipment health data and the fault mode recognition result; by integrating the distributed sensor, the edge calculation module and the intelligent alarm mechanism, the problems of delay, insufficient intelligent analysis and response lag in the prior art can be effectively solved.

A solar panel mounting system can include a first panel mount including a first retaining feature attached to or attachable to a first torque tube clamp, and a second panel mount including a second retaining feature attached to or attachable to a second torque tube clamp. When the first and second panel mounts are mounted on a torque tube via the first and second torque tube clamps, respectively, the first retaining channel faces the second retaining channel, and the first and second retaining channels are oriented transversely relative to the torque tube. Furthermore, in this example, at least one of the first panel mount or the second panel mount is configured for overhead or lateral insertion of a solar panel while the torque tube clamps are installed on the torque tube.

The invention relates to the technical field of control and regulation systems, in particular to a photovoltaic module and system, and the photovoltaic module comprises a sensor group, a dynamic feature extraction module, a prediction model module, a collaborative optimization control module and an instruction execution module. The sensor group collects the front irradiance, the back reflectivity and the temperature gradient data of the double-sided photovoltaic array, synchronously obtains the charge state and the charge and discharge rate of the energy storage system, and instructs the execution module to drive equipment to act and calibrate a noise filtering threshold through a feedback channel. The system layer integrates an edge computing node, a cloud scheduling center and a redundant communication network, realizes local real-time control and global resource optimization, and solves the problem of multi-time scale cooperative control of double-sided photovoltaic output dynamic fluctuation and energy storage response delay in combination with virtual sensing of a fault processing module, an off-network strategy and a case library self-learning mechanism. The energy utilization rate and the power grid frequency modulation precision are improved.

The invention relates to a photovoltaic power station real-time monitoring management system and method based on a cloud platform, and belongs to the field of photovoltaic power station intelligent monitoring. The system adopts a three-layer architecture of an application layer, a platform layer and an edge layer deployed at a cloud end, the edge layer is composed of distributed edge nodes, data are acquired through a data acquisition interface, and local preprocessing is executed; the platform layer configures a data storage and machine learning model, and performs generating capacity prediction and equipment health degree evaluation; and the application layer provides a visual monitoring interface and an operation and maintenance management terminal, and supports multi-dimensional data display and alarm information pushing. And the edge layer and the platform layer adopt a calculation task dynamic allocation mechanism, so that the cloud load is reduced while the real-time performance is ensured. The full-life-cycle monitoring of the photovoltaic power station is realized through a pure software architecture, the system has the advantages of elastic expansion, cross-platform compatibility and remote maintenance, and the deployment efficiency and the operation and maintenance response speed of the monitoring system are remarkably improved.

A system for supplying power to a portable battery pack including a battery enclosed by a wearable and replaceable pouch or skin using at least one solar panel is disclosed, wherein the pouch or skin can be provided in different colors and / or patterns. Further, the pouch or skin can be MOLLE-compatible. The battery comprises a battery element housed between a battery cover and a back plate, wherein the battery element, battery cover, and back plate have a slight curvature or contour. Further, the battery comprises flexible leads.

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 belongs to the technical field of photovoltaic power generation, and discloses a distributed photovoltaic output prediction and energy storage optimization method, which comprises the following steps: acquiring historical operation data and preprocessing the historical operation data; extracting a historical spatio-temporal feature vector containing spatio-temporal correlation information; constructing and training a classification-prediction combined model; acquiring real-time operation data, performing preprocessing and time-space correlation feature extraction on the data to obtain a real-time spatial-temporal feature vector, and inputting the real-time spatial-temporal feature vector into the trained joint model to obtain a real-time photovoltaic output type and a real-time photovoltaic output predicted value; and inputting the real-time photovoltaic output type, the real-time photovoltaic output predicted value and the power grid load demand into an energy storage system charging and discharging strategy optimization model constructed by a deep reinforcement learning algorithm to generate a charging and discharging strategy. The classification-prediction combined model identifies the photovoltaic output type and predicts the photovoltaic output value based on the spatial-temporal feature vector, improves the accuracy of photovoltaic power generation prediction, optimizes the charging and discharging strategy through a deep reinforcement learning algorithm, and improves the operation efficiency of an energy storage system.

The invention discloses a wind-solar complementary intelligent charging system and heat management optimization. The system comprises a wind power generation unit, a photovoltaic power generation unit, an energy storage unit, an intelligent control unit and a heat management unit, the wind power generation unit adopts an efficient wind generating set, is provided with an intelligent control system, and can automatically adjust a pitch angle and a yaw angle according to real-time wind speed and wind direction; the photovoltaic power generation unit selects a high-efficiency photovoltaic cell assembly and tracks the position of the sun in real time in combination with an intelligent light following system; and the energy storage unit adopts a high-performance energy storage battery pack and a battery management system. Through accurate prediction and analysis of local wind and light resources, dynamic configuration and cooperative power generation of the wind power generation unit and the photovoltaic power generation unit are realized. Compared with a traditional fixed configuration mode, local wind and light resources can be fully utilized, and the power generation efficiency is improved. Meanwhile, the multi-energy complementary cooperative power generation technology is adopted, organic combination of wind and light power generation and energy storage is achieved, and stable power supply of the system is ensured.

The invention relates to the technical field of photovoltaic power station management, and discloses a photovoltaic power station Internet of Things intelligent management and cloud edge collaborative optimization system. The system comprises an operation data acquisition module which is used for acquiring power station data in multiple dimensions, quantitatively identifying an abnormal operation state and generating a management early warning signal; the equipment state evaluation module is used for extracting equipment characteristics and dynamically evaluating the self-maintenance capability to obtain a state evaluation reference value; the edge processing module is used for monitoring parameters such as data traffic and predicting and analyzing edge processing efficiency to obtain an edge calculation evaluation value; the cloud edge collaboration module is used for jointly analyzing collaborative optimization efficiency and generating a regulation and control signal; the optimization parameter generation module is used for generating equipment maintenance and computing power distribution parameters; the system further comprises an authority control module and a dynamic adjustment module. According to the system, intelligent management and cloud edge collaborative optimization of the photovoltaic power station are realized, the operation efficiency and reliability of the power station are improved, and the safety and dynamic adjustment capability are enhanced.

The invention provides a wind-solar hydrogen production and ammonia synthesis system and a configuration method thereof, electronic equipment and a storage medium. The wind and light hydrogen production and ammonia synthesis system comprises a wind and light hydrogen production subsystem, an ammonia synthesis subsystem and a coordination controller which are relatively independent, the ammonia synthesis subsystem comprises a hydrogen storage tank, the hydrogen storage tank is connected with the wind and light hydrogen production subsystem, and the configuration method of the wind and light hydrogen production and ammonia synthesis system can be executed by the coordination controller. The configuration method of the wind-solar hydrogen production ammonia synthesis system comprises the following steps: firstly, determining capacity configuration parameters of a wind-solar hydrogen production subsystem by taking the minimum leveling hydrogen production cost as a target; and determining the capacity configuration parameters of the ammonia synthesis subsystem based on the capacity configuration parameters of the wind-solar hydrogen production subsystem by taking the maximization of the wind-solar absorption rate, the minimization of the total cost of the system and the minimization of the operation cost of the system as targets. The wind and light hydrogen production subsystem and the ammonia synthesis subsystem are subjected to two-stage decoupling type system configuration, and stable operation of the ammonia synthesis process is ensured while efficient utilization of green electricity is achieved.

The invention belongs to the technical field of photovoltaic energy storage charging scheduling, and particularly relates to an intelligent scheduling method and system for a photovoltaic energy storage charging micro-grid system, and the system comprises a photovoltaic power generation detection module, an energy storage equipment detection module, an electric equipment detection module, an upper computer, and an optimization scheduling module. The signal output ends of the photovoltaic power generation detection module, the energy storage equipment detection module and the electric equipment detection module are connected with the upper computer, and the output end of the upper computer is connected with the optimal scheduling module. According to the scheme, based on information collection of the photovoltaic power generation equipment, the energy storage equipment, the power utilization equipment and other equipment, comprehensive information conditions can be obtained, and the power utilization mode is comprehensively scheduled based on the comprehensive information, so that the method can be better suitable for the use environment. The advanced communication technology realizes rapid and reliable data transmission among devices, ensures that a scheduling instruction can be timely and accurately transmitted to each device, and ensures that the acquired data can be fed back to a scheduling center in real time.

A system for supplying power to a portable battery pack including a battery enclosed by a wearable and replaceable pouch or skin using at least one solar panel is disclosed, wherein the pouch or skin can be provided in different colors and / or patterns. Further, the pouch or skin can be MOLLE-compatible. The battery comprises a battery element housed between a battery cover and a back plate, wherein the battery element, battery cover, and back plate have a slight curvature or contour. Further, the battery comprises flexible leads.

The technical scheme of the invention discloses a photovoltaic power generation and greenhouse agriculture integrated system. According to the photovoltaic agricultural integrated technology disclosed by the invention, photovoltaic power generation and greenhouse planting are innovatively combined, and a solar panel with adjustable light transmittance of 30%-90% is mounted at the top of an agricultural facility, so that sunlight is utilized for power generation, and illumination required by crop growth is reserved. The system disclosed by the invention is provided with an intelligent sensor and an AI algorithm, environment data is monitored in real time, the angle, light supplementing intensity, temperature and humidity of the photovoltaic panel are dynamically adjusted, and different crop requirements (such as low illumination of leaf vegetables and medium and strong illumination of fruits and vegetables) are accurately matched. Residual electricity is stored or connected to a grid, photovoltaic waste heat is recycled in winter for heat preservation, sun shading and cooling are conducted in summer, and efficient circulation of energy is achieved.

Systems, methods, and apparatuses for supplying power to at least one power consuming device using a solar panel. The solar panel includes at least two solar modules, an output connector, and a cable. The at least two solar modules are connected via a first electrical harness in a first combination of parallel and / or series to provide a first output voltage and via a second electrical harness in a second combination of parallel and / or series to provide a second output voltage. The at least one power consuming device is preferably a rechargeable battery.

The invention relates to the technical field of ecological product accounting, in particular to an intelligent operation and maintenance system of a solar photovoltaic energy storage system, which comprises a state judgment module used for judging the operation state of the solar photovoltaic energy storage system, and specifically comprises the following steps of: aiming at collected real-time operation data, comparing the operation data with a safe operation data threshold value, and judging the operation state of the solar photovoltaic energy storage system; and determining the operation state of the solar photovoltaic energy storage system according to a comparison result, and determining the operation state of the solar photovoltaic energy storage system according to a function scoring result by constructing a stability scoring function of the solar photovoltaic energy storage system and taking the collected real-time operation data as a variable of the function. And the intelligent operation and maintenance module is used for carrying out intelligent operation and maintenance on the solar photovoltaic energy storage system, specifically, the intelligent operation and maintenance module adaptively selects a corresponding operation and maintenance level based on the system operation state result output by the state judgment module, and executes a corresponding operation and maintenance decision according to the operation and maintenance level.

The invention relates to the technical field of power dispatching, and discloses a water-wind-light complementary dispatching optimization method and system, and the method comprises the steps: obtaining meteorological data and reservoir water level data, and carrying out the alignment segmentation of the data, and forming a corresponding data sequence; a multi-time-scale coupling prediction model is constructed, and the aligned data sequences are predicted on the corresponding output; establishing a hybrid nonlinear programming objective function, configuring constraint conditions, and minimizing the comprehensive cost of hydropower, wind power and photoelectricity; and setting a plurality of hierarchies according to the predicted duration, and solving the hybrid nonlinear programming objective function. According to the invention, a multi-meteorological-element-multi-energy-form coupling prediction model is established, a coordinated scheduling optimization architecture suitable for complex weather is further constructed, and water-wind-light complementary scheduling optimization is realized in combination with a dynamic optimization weight mechanism based on a meteorological risk coefficient. The method is suitable for peak regulation scheduling of a multi-energy complementary micro-grid and a power grid in a large-scale renewable energy source grid-connected scene.

The present disclosure relates to a solar plant with solar panels (2, 2′) which are prefabricated in a leporello folding (3) which can be unfolded in an unfolding direction (A), and a substructure on which the solar panels are arranged, wherein the substructure is designed to be flexible in the unfolding direction (A) and is connected to the solar panels in a positionally fixed manner in such a way that the leporello folding (3) of the solar panels can be unfolded with the substructure (8, 9, 10, 24) and determines angular positions of the solar panels (2, 2′) relative to one another.

The invention relates to the technical field of wind-solar hybrid power generation, and discloses a wind-solar complementary energy storage power station intelligent scheduling method and device based on time sequence analysis, and the method comprises the steps: judging whether a target wind-solar complementary energy storage power station is in a free power generation mode or not based on the operation state of the wind-solar complementary energy storage power station; if the target wind-solar complementary energy storage power station is in the free power generation mode, collecting wind energy output data and photovoltaic output data in a plurality of period windows; performing time sequence analysis on the wind energy output data and the photovoltaic output data in the plurality of period windows, and determining the time sequence similarity of the output data in the adjacent period windows; dynamically adjusting the power generation power of the power station based on the time sequence similarity of the output data in the adjacent period windows to obtain the maximum power generation capacity of the power station; and obtaining a preset adjustment factor, and carrying out generation power allocation on the target wind-solar complementary energy storage power station based on the maximum power generation amount and the preset adjustment factor. According to the invention, efficient power generation of the target wind-solar complementary energy storage power station in different operation states is ensured.

The invention discloses a photovoltaic-wind power-energy storage integrated power generation system based on intelligent optimization in the technical field of intelligent scheduling of energy storage systems. The photovoltaic-wind power-energy storage integrated power generation system comprises a power generation module; the hybrid energy prediction module is used for predicting the load of the power generation module by using a hybrid prediction model according to the meteorological data and the equipment operation state data acquired from the communication module; the optimal scheduling module is used for performing real-time power generation power compensation, short-term charging and discharging scheduling and long-term energy storage capacity proportion planning through multi-time scale cooperation; the energy storage collaboration module is used for constructing a full-life-cycle virtual mirror image of the wind and light storage system by using a digital twinning technology and establishing a time-sharing hierarchical energy storage architecture; a communication module and a feedback module. According to the invention, through power generation prediction, energy supply scheduling and energy storage ratio planning on multiple time scales, the overall operation efficiency and stability of the system are improved, the service life of equipment is optimized, the equipment, manual and leveling cost of kilowatt-hour electricity is reduced, and the shutdown loss of abandoning light and electricity is reduced.

The invention relates to an electrolytic hydrogen production and fuel cell waste heat gradient utilization system and method based on an organic Rankine cycle, and belongs to the field of new energy. The system comprises a wind power generation unit, a photovoltaic power generation unit, a storage battery energy storage system, an electrolytic hydrogen production device, a hydrogen storage system, a fuel cell power generation unit, a waste heat utilization unit and an organic Rankine cycle device, and can be used for realizing multi-element consumption and gradient utilization of renewable energy sources. The method specifically comprises the following steps: establishing equipment models in a system, wherein an electrolytic bath considers five states of shutdown, cold start, standby, hot start and standby; on the basis of a mixed integer linear programming method, operation constraints of all equipment, renewable energy output prediction and electricity, heat and hydrogen load requirements are integrated, an optimization scheduling model meeting the electricity, heat and hydrogen load requirements and economical efficiency of the system is constructed, output of all the equipment is coordinated, and finally the optimization targets of maximizing the economical efficiency of the system and meeting the electricity, heat and hydrogen load requirements of the system are achieved.

The invention relates to the technical field of building energy supply, and aims to solve the problem of how to efficiently utilize solar photovoltaic stored energy to supply energy to a building. According to the technical scheme, a monocrystalline silicon photovoltaic module array is laid on the roof of a building, and a lithium battery pack and an alternating-current distribution box are connected through a bidirectional energy storage converter to supply power to electric equipment of the building. The meteorological data acquisition module is used for measuring an irradiance value and a temperature value, and the load monitoring module is used for acquiring electric power. In the building energy management platform, a photovoltaic power generation prediction model generates a photovoltaic output prediction curve in combination with real-time and prediction data, a building load prediction model generates a load power demand curve according to historical and regular data, and an energy storage control decision-making model performs energy storage control according to a difference matrix between the two. A lithium battery pack charging and discharging power distribution scheme is obtained through a dynamic programming algorithm, and the bidirectional energy storage converter is controlled. The system is mainly used for realizing efficient and stable solar photovoltaic energy storage and supply of buildings.

A photovoltaic system has photovoltaic modules which can be arranged in a row and are mounted on a support frame. Adjacent photovoltaic modules with their support frames are connected to one another in an articulated manner by joints or hinges and can be transferred via a drive unit from a substantially extended and flat state into a pushed-together, compact state and vice versa.The support structure comprises a first pair of guide rails comprised of two guide rails arranged at a distance from one another. Arranged laterally on the photovoltaic modules and on the support frames, respectively, are freely rotatable impellers, the mutual spacing of which corresponds to the spacing of the mutually opposite guide rails, so that the photovoltaic modules with low rolling resistance in the direction of the guide rails can be spread out or moved together.

The invention discloses a wind-solar complementary power generation system and method based on intelligent monitoring, belongs to the field of wind-solar complementary power generation, and is used for solving the problems of fixed parameter weight, lack of environment-equipment coupling analysis and large power generation capacity prediction deviation of a traditional system. Generating a standard matching curve template to match the current working condition, and monitoring a working condition fluctuation index to trigger updating; key equipment parameters are screened based on historical data and association degree, an environmental working condition scene association rule base is constructed, generating capacity fluctuation is judged through double references, and a core influence chain is traced; matching historical samples through Euclidean distance to calculate an initial generating capacity predicted value, constructing three types of correction coefficients of environmental deviation, equipment health and a core influence chain, and obtaining a comprehensive correction factor and a correction predicted value; the monitoring accuracy and the fluctuation attribution capability are improved, the prediction deviation is reduced, and the system operation strategy is ensured to adapt to the actual power generation demand.

A system for supplying power to a portable battery pack including a battery enclosed by a wearable and replaceable pouch or skin using at least one solar panel is disclosed, wherein the pouch or skin can be provided in different colors and / or patterns. Further, the pouch or skin can be MOLLE-compatible. The battery comprises a battery element housed between a battery cover and a back plate, wherein the battery element, battery cover, and back plate have a slight curvature or contour. Further, the battery comprises flexible leads.

The invention relates to the technical field of immersion liquid cooling control, in particular to an immersion liquid cooling data control method and system combining photovoltaic and low-temperature waste heat power generation, and the method comprises the steps: transmitting low-temperature waste heat generated by the operation of a server to a liquid cooling circulation system, capturing solar radiation energy through a synchronous photovoltaic module, forming basic energy input, and transmitting the basic energy input to a server; generating a symbiotic energy substrate; the symbiotic energy substrate drives dual-path conversion, and photovoltaic electric energy is directly supplied to a cooling system pump set and a control unit to maintain liquid cooling circulation; afterheat pushes an expansion unit to generate power through organic working medium gasification, so that energy consumption of a cooling system is supplemented, and an energy flow self-driving system is formed; operation parameters of the energy flow self-driven system are input into the control core, and a three-state strategy is dynamically executed based on the load state and photovoltaic output. The system comprises a liquid cooling cabinet, a CDU control unit, a PLC, a solar panel, a photovoltaic cell, an illumination intensity sensor, a waste heat recovery device, a mode switcher and the like. According to the invention, system operation mode switching time delay is eliminated.

The invention provides a photovoltaic panel arrangement method and system under the same wind and light field, and relates to the technical field of photovoltaic panels, and the method comprises the steps: obtaining fan parameters and a photovoltaic panel arrangement region; based on the fan parameters, shadow data of a photovoltaic panel arrangement area within a preset duration are obtained; establishing a mapping relation between the arrangement parameters of the photovoltaic panel and the generating capacity per unit area in the presence of shadow data; clustering the shadow regions to obtain a plurality of shadow clustering regions; determining optimized photovoltaic panel arrangement parameters of each shadow clustering region by combining the mapping relationship and taking maximization of the generating capacity per unit area as a target; and arranging the photovoltaic panels in each shadow clustering area according to the optimized photovoltaic panel arrangement parameters. The power generation loss and the hot spot effect caused by shielding are reduced, and land waste caused by large-scale distribution forbidding is avoided.

The invention relates to the field of photovoltaic power generation, and particularly discloses a climate self-adaptive photovoltaic cooling method and system based on interface evaporation, and the system comprises a hydrophilic and hydrophobic composite radiation refrigeration film which is used for capturing atmospheric moisture through a radiation refrigeration effect under a low-radiation condition to form a cooling water source; the bionic water conveying structure comprises a modified silicone tube and a juncus roemerianus bundle and is used for conveying the captured water to the high-level water tank through capillary action; according to the invention, by fusing interface evaporation and radiation refrigeration technologies, the system realizes efficient cooling and energy recovery of the photovoltaic module; under the condition of strong irradiation, the gradient wettability interface evaporation layer takes away waste heat of the module through directional water film flow, so that the temperature of the photovoltaic module is reduced, the photoelectric conversion efficiency is improved, and meanwhile, the daily generating capacity is increased; the cooling effect is obviously better than that of a traditional natural convection or phase change material cooling mode, and efficient heat transfer is achieved through phase change latent heat utilization of interface evaporation.

This invention relates to a roller blind system. The roller blind system comprising of a roller blind, the roller blind comprising of a photovoltaic film configured to, in-use, face towards an external face of a building envelope, and an energy storage system receivable of power generated from the photovoltaic film. A motor is connectable via a drive system for winding of the roller blind, the roller blind to be wound to an advanced or retracted position, and a controller is configured to operate at least the motor for windingly advancing or retracting the roller blind to a desired extension position.

The invention discloses a super-large plane array type space computing power center, and belongs to the field of space technologies and space infrastructures. The space computing power center is deployed in a morning and evening orbit and comprises a plurality of computing power satellites which are physically docked in orbit through a docking mechanism. Each computing power satellite comprises a satellite platform, and a computing power load, a condensation type energy system and a space pump drive fluid loop system which are arranged on the satellite platform, and a docking mechanism for inter-satellite in-orbit physical docking is also assembled on the satellite platform. A plurality of computing power satellites form a planar array type rigid whole body through the docking mechanism, and energy scheduling among the light condensation type energy systems is realized based on the docking mechanism. According to the space computing power center, through multi-satellite physical docking and energy collaborative scheduling, the energy utilization efficiency and the power supply reliability of the system are improved.

The invention discloses a photovoltaic-electrolytic cell cooperative power control method and a medium, and the method comprises the steps: constructing a photovoltaic electrolytic hydrogen production system which comprises a photovoltaic module, a battery energy storage module, an electrolytic cell module and a hydrogen storage tank; calculating the planned operation number of electrolytic baths based on the photovoltaic electrolytic hydrogen production system; dividing electrolytic bath operation scenes based on the photovoltaic output, the photovoltaic electrolytic hydrogen production system and the planned operation number of the electrolytic bath, wherein the electrolytic bath operation scenes comprise an electrolytic bath full-load operation scene, an electrolytic bath and battery load mixed operation scene and a self-adaptive adjustment load operation scene; executing a corresponding power scheduling and operation control strategy on the photovoltaic electrolytic hydrogen production system based on the electrolytic cell operation scene and the planned operation number of the electrolytic cells; and based on the objective function under the constraint condition, carrying out optimization solution on the power scheduling and operation control strategy to obtain the reference power of the electrolytic cell. The method can adapt to different photovoltaic wide power fluctuations by dividing different electrolytic cell operation scenes.