96 results about "Renewable energy technology" patented technology

The invention relates to the field of ocean renewable energy technology utilization, and provides an oscillating water column type wave energy power generation device based on a superstructure, which comprises an oscillating water column main body, a superstructure assembly, a top shell and a power generation unit, and is characterized in that the interior of the oscillating water column main body is provided with the superstructure assembly formed by a plurality of guide plates which are arranged along the radial direction and extend in a horn shape; the oscillating water column body is internally divided into a plurality of independent oscillating water column cavities with gradually-changed sizes by combining with the partition plate assembly, an air chamber is defined by the top shell and the oscillating water column body, and airflow energy generated by water column oscillation driving is converted into electric energy through the power generation unit. The power generation unit can adopt a plurality of split type air turbines to generate power or a general type air turbine to generate power. The special fluctuation performance of the superstructure is fully exerted, efficient broadband capture and wave absorption are achieved, meanwhile, wave loads are effectively reduced, diversified integration of wave energy power generation devices is developed, sea area resources and operation and maintenance cost are saved, and negative environmental influences are reduced.

The invention relates to the technical field of renewable energy sources, and discloses a renewable energy source-oriented water electrolysis hydrogen production control system and a power distribution method.The system comprises a monitoring unit, a hydrogen pressure monitor, a processing center, an execution terminal and a communication network; renewable energy consumption rate and electrolytic cell power change rate are improved, minute-level fluctuation is adapted, power distribution errors are stably controlled, hydrogen production efficiency loss is avoided, the utilization rate of the electrolytic cell is increased by improving a dynamic priority model, the overall energy efficiency of a cluster is improved, starting and stopping frequency of a basic load group is reduced by a grouping control strategy, and the service life of the electrolytic cell is prolonged. Standby energy consumption is reduced through a sleep wake-up mechanism, the standby power consumption of the system is reduced to rated power, the hydrogen pressure overrun accident rate is reduced through a safety constraint mechanism, and thermal stress damage of the electrolytic cell is reduced and the fault shutdown rate is reduced through temperature deviation protection.

The invention discloses a solar spectrum frequency division combined heat and power generation system and an operation method, and relates to the technical field of renewable energy sources, and the method comprises the following steps: S001, building a coupling analysis baseline among irradiation parameters, heat distribution and optical characteristics, collecting the real-time temperature data and light beam wavefront information of a spectrum frequency divider under the condition of sun illumination, and calculating the real-time temperature data and light beam wavefront information of the spectrum frequency divider; and generating an estimated atlas of refractive index gradient distribution based on a thermally induced refractive index change rule. Through heat, light and force coupling control, accurate prediction, real-time identification and dynamic correction of the thermal lens effect are achieved, a closed-loop feedback mechanism is established, stable alignment of photoelectric and photo-thermal paths is guaranteed, the system energy efficiency and operation reliability are effectively improved, and the problems of deviation, energy efficiency reduction and part damage caused by a thermal lens in the prior art are solved.

The invention provides a multi-energy cooperative closed geothermal heating system, which relates to the technical field of renewable energy sources and comprises a closed geothermal circulating unit, a multifunctional cooperative unit and a control unit. The geothermal circulation unit achieves working medium circulation heat absorption through the injection well, the production well and the underground heat exchange structure embedded in the rock mass. The cooperation unit is provided with an industrial waste heat loop, an electric heating heat storage loop and a heat pump unit which are connected in parallel, the primary side of a heat pump is in closed-loop connection with the production well and the injection well, and the secondary side communicates with a user heat supply pipeline. The control unit realizes two modes through path switching: in a heating mode, the heat pump unit raises the temperature of a geothermal working medium and is linked with the electric heating loop to supply heat together, and industrial waste heat supplements heat energy synchronously; and in the heat storage mode, the heat pump and the electric heating are closed, and the industrial waste heat working medium is reversely injected into the production well for geothermal heat storage. The heat taking efficiency of the closed type geothermal heating system and the heat source supply stability can be both considered.

The invention relates to the technical field of renewable energy sources, in particular to a capacity configuration optimization method and device for an off-grid wind-solar-storage coupled hydrogen production energy system. The method comprises the following steps: constructing a mathematical model of each subunit of the off-grid wind-solar-storage coupled hydrogen production energy system; establishing an operation strategy of the system; calculating system performance indexes in the scheduling period based on the operation strategy and the mathematical model, wherein the system performance indexes comprise the leveling hydrogen production cost and the power supply missing rate; and constructing an objective function by using a minimum system performance index, and optimizing the capacity configuration of the system by using a third-generation non-dominated sorting genetic algorithm under an operation constraint condition. According to the invention, two performance indexes for evaluating the off-grid renewable energy hydrogen production system are provided, so that the off-grid wind-solar-storage coupled hydrogen production energy system can be comprehensively evaluated from the economic efficiency and technical stability of a project. Meanwhile, the method adopts a third-generation non-dominated sorting genetic algorithm to carry out capacity optimization configuration, so that the problem of insufficient double-target solution is avoided.

The invention discloses a method for improving methane production through low-temperature anaerobic digestion of sewage sludge, and relates to the technical field of solid waste resource utilization and renewable energy sources. The invention aims to solve the problem of low methane yield in the anaerobic digestion process of sewage sludge under a low-temperature condition. The method comprises the following steps: adding an inoculum and a culture medium into a reaction device, and fully stirring and mixing to obtain a mixed matrix; the inoculum is anaerobic digestion sludge, and the culture medium is sewage sludge which is subjected to heat treatment at 90-100 DEG C for 0.5-1 hour; and adding the biochar into the mixed matrix, and carrying out low-temperature anaerobic digestion to complete the improvement of the low-temperature anaerobic digestion methane production of the sewage sludge. The method for improving methane production through low-temperature anaerobic digestion of sewage sludge can be obtained.

The invention relates to the technical field of renewable energy sources, and provides a meteorological classification-based park-level photovoltaic power generation prediction method and system, a terminal and a medium, and the method comprises the steps: collecting historical data; correlation is calculated, and meteorological factors having significant influence on photovoltaic power generation are found out; extreme weather types are divided, and historical data related to the extreme weather are selected to be added into model training; establishing a plurality of photovoltaic power generation prediction models; classifying prediction results of each photovoltaic power generation prediction model according to extreme weather types, and respectively calculating error evaluation indexes; for each weather type, screening a prediction model with the best error evaluation index performance, and forming an optimal model combination; and collecting real-time meteorological data of the target park, and calling the corresponding model in the optimal model combination to perform photovoltaic power generation prediction based on the current weather type. According to the method, the problem that in the prior art, the park-level distributed photovoltaic system generating capacity estimation precision is insufficient, and particularly the estimation precision is insufficient in extreme weather can be solved.

The invention relates to the technical field of new energy and renewable energy sources, and discloses a wind-light-hydrogen-ammonia source network load storage integrated park synthetic ammonia flexible control method, which comprises the following steps of: performing multistable load setting optimization by taking the maximum daily net income as a target through wind-light prediction, time-of-use electricity price, hydrogen storage capacity and ammonia market demand; obtaining a plurality of discrete steady-state loads and operation durations thereof; a rare earth doped catalyst and a synthesis tower are adopted for cooperative control, the low-load activity interval is widened, and operation parameters are optimized; executing ultra-short-term, short-term and medium-and-long-term source network load storage cooperative scheduling, and cooperating with security boundary adaptive control; and constructing an electricity-hydrogen-ammonia integrated digital twinborn model, realizing control parameters, and realizing whole-process closed-loop rolling optimization. According to the method, through multi-steady-state load setting optimization, the operation condition of the ammonia synthesis device is dispersed into a plurality of steady-state load grades, the operation duration is reasonably arranged, park source network load storage multi-element collaboration is achieved, and the overall ammonia production cost is reduced.

The invention discloses an array type wave energy flow battery energy storage system and a power prediction method in the technical field of ocean renewable energy sources. The flow battery energy storage system of the array type wave energy comprises a double-ring array ocean wave energy acquisition module, a deep learning prediction module MMD-CNN-BiLSTM-Attention, an all-vanadium flow battery energy storage module and a comprehensive system control module. The four modules realize information interaction and cooperative regulation and control through a high-speed data network. According to the array type flow battery energy storage system for wave energy, the input voltage and power are greatly improved, the energy consumption of power electronic conversion is reduced, the problems of power fluctuation and energy storage regulation and control in wave energy power generation are effectively solved through the energy storage system with accurate prediction and quick response, and obvious technical advantages and application prospects are shown.

The utility model discloses a fuel cell module for demonstration teaching and toys, which belongs to the technical field of fuel cells and comprises an anode end plate and a cathode end plate. A first silica gel sealing ring, a first collector plate, a first sealing ring, a membrane electrode assembly, a second sealing ring, a second collector plate and a second silica gel sealing ring are sequentially arranged between the anode end plate and the cathode end plate, the membrane electrode assembly comprises two gas diffusion layers and a membrane electrode piece, and the membrane electrode piece comprises a frame and a CCM arranged in the middle of the frame. The CCM is arranged between the two gas diffusion layers, the anode end plate and the cathode end plate are fixedly connected through bolts, the fuel cell module is simple in structure, air cooling is used for replacing liquid cooling, the heat dissipation structure is simplified, the product cost is reduced, meanwhile, the detachable modular structure is beneficial to cultivating the operational ability of students, and the practical value of the students is improved. And the interest in the renewable energy technology is improved.

The application discloses an off-grid renewable energy hydrogen storage and target compound synthesis system, method and electronic device, relates to the technical field of renewable energy, and comprises a renewable energy power generation unit, a water electrolysis hydrogen production unit, a fuel cell unit, a hydrogen storage unit, a target compound synthesis unit and a comprehensive energy scheduling unit which are connected with each other. When the corresponding relationship between power generation power and time is less than or equal to the rated power, the fuel cell unit is controlled to be in a starting state, the water electrolysis hydrogen production unit is controlled to produce hydrogen by being turned on, and the target compound synthesis unit is controlled to synthesize target compounds. When the stability of the comprehensive energy scheduling unit does not satisfy a preset stability condition, the fuel cell unit is controlled to be in the starting state, and the corresponding device in the comprehensive energy scheduling unit which does not satisfy the preset stability condition is in a closed state.

The invention relates to the technical field of renewable energy sources, and discloses a wind-light-gas storage system power prediction and dynamic scheduling decision-making system, which comprises a data acquisition module for acquiring wind-light power generation data, meteorological data, energy storage state data and load demand data of a wind-light-gas storage system; the power prediction module is used for outputting a power prediction result through an integrated learning model based on the historical power data, the wind-solar power generation data, the meteorological data and the load demand data; the dynamic scheduling decision module is used for generating a scheduling instruction through a multi-objective optimization model based on the power prediction result, the real-time operation data, the energy storage state data and the load demand data; and the control execution module is used for feeding back and updating the adjusted energy storage state data according to the scheduling instruction. According to the method, the power prediction precision of the wind-light-gas storage system can be improved, the scheduling decision is flexibly optimized, the intermittency and volatility of renewable energy sources are effectively handled, stable power supply is ensured, and efficient operation and cost control of the wind-light-gas storage system are realized.

The invention discloses an oil field sewage pollution control and hydrogen production device and method based on a multi-stage gradient electrolytic cell, and belongs to the technical field of oil field sewage treatment and renewable energy sources. The device comprises a pretreatment unit, a multi-stage gradient electrolytic cell and a gas collection unit which are connected in sequence, wherein the multi-stage gradient electrolytic tank comprises a first-stage electrolytic tank, a second-stage electrolytic tank and a third-stage electrolytic tank which are sequentially connected in series, anodes are a Ti / RuO2 mesh electrode, a Ti / SnO2-Sb2O5 sheet electrode and a Ti / PbO2 columnar electrode in sequence, and cathodes are porous MoS2-Ni composite electrodes; the method specifically comprises the following steps: (1) pretreatment; (2) staged treatment; and (3) discharging the water after reaching the standard, collecting and purifying hydrogen, and feeding into a hydrogen storage tank. Through gradient electrode design, multi-stage partition electrolysis and an efficient cathode hydrogen production process, efficient removal of pollutants and high yield of hydrogen are achieved.

The invention discloses a polar region temperature difference phase change power generation device and method, and belongs to the technical field of renewable energy sources. The device comprises a vertical shaft wind generating set, an energy storage tank, a heat convection circulation pipeline system and a floating body device, the energy storage tank is filled with a low-boiling-point refrigerant medium, and the surface of the heat convection circulation pipeline system is covered with a thermoelectric power generation piece. When temperature difference exists between the environment temperature and the energy storage tank, the high-temperature end medium is vaporized to form pressure difference to drive steam to push the turbine to generate electricity; after acting, the steam is condensed and releases heat at the low-temperature end, and waste heat secondarily generates power through the thermoelectric power generation sheet; by adapting to media with different boiling points, the device can adapt to polar region seasons and day and night temperature difference changes, and continuous and stable power generation is achieved; the device is simple in structure, free of pollution and suitable for polar regions and other large-temperature-difference environments.

The invention discloses a flexible photovoltaic support multi-objective optimization method and device for a mountain environment, and belongs to the technical field of structural engineering and renewable energy sources. A parameterized finite element model of the flexible photovoltaic support is established, and key design variable correlation material libraries such as the main cable sectional area and the stable cable sectional area are dynamically updated; generating dynamic wind load time-history data based on the mountain meteorological data, and applying the dynamic wind load time-history data to the model for time-history analysis after wind tunnel test verification to obtain structural response; performing normalized sensitivity analysis on the response data, and screening out key optimization variables which significantly influence the structural performance and cost; and adopting a genetic algorithm to perform multi-objective optimization search by taking the lowest total material cost as an objective in a solution space meeting the strength constraint, the rigidity constraint and the frequency constraint, outputting an optimal parameter combination, and verifying the safety and the standard conformity of the optimal parameter combination. The design optimization efficiency, the safety reliability and the economical efficiency of the support structure are improved.

The invention relates to the technical field of renewable energy sources, and discloses a biomass catalytic pyrolysis coupling online upgrading liquid fuel preparation reaction device which comprises a base, the upper surface of the base is fixedly connected with a discharging mechanism, the upper surface of the base is provided with a feeding assembly, and the feeding assembly is located at the bottom end of the discharging mechanism; a first pyrolysis mechanism is fixedly connected to the lower surface of the first fixing shell, the bottom end of the first pyrolysis mechanism is fixedly connected to the upper surface of the base, a reaction mechanism is arranged at one end of the connecting pipe, an auxiliary assembly is fixedly connected to the upper surface of the reaction mechanism, and a storage tank is arranged at the bottom end of the reaction mechanism. And a filtering mechanism is mounted in the base. When a material distributing plate of the feeding assembly rotates to a connecting frame, a sliding plate is driven to compress a spring and press an injection pipe button, after the material distributing plate leaves, the spring pushes a component to reset, injection pauses, medium injection is matched with raw material conveying rhythm, and it is ensured that pyrolysis oil gas and media are fully mixed and reacted.

The invention relates to a renewable energy technology, and discloses a green hydrogen system capacity configuration method and device, a platform and a storage medium, and the method comprises the steps: obtaining renewable energy output data, system module parameters and business demand information of a target project; configuring a coupling system model based on the renewable energy output data, the system module parameters and the service demand information; wherein the coupling system model takes electricity-hydrogen power balance as a basic physical constraint, and integrates at least one system operation constraint; in response to at least one optimization target configured by the user based on the business demand information, constructing a combined optimization target function; and solving the coupling system model through a hybrid optimization algorithm to obtain a target capacity configuration scheme which meets basic physical constraints and system operation constraints and enables the combinatorial optimization target function to be optimal. According to the method, global optimization of green hydrogen system capacity configuration and operation simulation data can be realized, and the comprehensive hydrogen production cost can be reduced.

The invention discloses a zero-carbon highway energy complementation control cloud platform, and relates to the field of energy scheduling control, and the cloud platform comprises a solar photovoltaic unit which is used for converting sunlight into electric energy through a photoelectric conversion technology based on a solar photovoltaic panel; the wind power generation unit is used for converting wind energy into electric energy through a wind energy conversion technology by utilizing a wind generating set; the geothermal energy utilization unit is used for obtaining heat energy through a ground source heat pump according to shallow-layer and middle-deep-layer geothermal resources; the energy storage unit is used for storing excess electric energy and heat energy through the battery energy storage module and the heat energy storage module; and the intelligent energy management unit is used for establishing an energy complementary model based on the photovoltaic output characteristics and the wind power output characteristics, constructing a wind-solar-ground storage collaborative operation strategy, and realizing optimal configuration and scheduling of energy. Various renewable energy technologies such as solar energy, wind energy and geothermal energy can be integrated, and efficient conversion and utilization of energy are achieved.

The present disclosure relates to the technical field of renewable energy, and provides a self-networking method for a module controller, and a related apparatus, to improve the self-networking efficiency for the module controller. The method includes: controlling a power converter to search for multiple initial module controllers; determining multiple candidate module controllers from the multiple initial module controllers, where the multiple candidate module controllers are obtained by filtering the multiple initial module controllers based on a communication link quality between the power converter and each of the multiple initial module controllers and a minimum quality requirement threshold; and networking the multiple candidate module controllers to obtain multiple networked module controllers.

This invention belongs to the field of new energy and renewable energy technology, and specifically relates to a hydrogen production method based on electricity price fluctuations and hydrogen storage optimization. The method includes the following steps: constructing a relationship between hydrogen production per unit time and instantaneous total unit hydrogen production cost based on actual production test data of the electrolyzer; establishing a hydrogen production cost and electricity consumption model; determining relevant hydrogen production parameters, including hydrogen production start time, hydrogen storage tank capacity, instantaneous hydrogen delivery volume, and electricity price curves for different time periods; determining the minimum instantaneous unit hydrogen production cost optimization objective function based on the hydrogen production per unit time of water electrolysis; determining the optimization constraints of the objective function; and using a genetic algorithm to determine the operating mode of the electrolyzer's output and the minimum total hydrogen production cost for different time periods. This invention comprehensively considers the electrolyzer's output, electricity consumption cost, and overall hydrogen production cost to determine the optimal operating mode for hydrogen generation, effectively reducing the electricity consumption cost of hydrogen production from water electrolysis and improving the economics of hydrogen energy.

The invention relates to the technical field of intelligent power grids and renewable energy sources, in particular to an intelligent evaluation method and system for distributed photovoltaic resources. Comprising the following steps: S1, on the basis of acquired static topological data and dynamic operation data of a power distribution network, calculating physical absorption capacity of a grid-connected point by coupling thermal stability constraint and voltage stability constraint; s2, in combination with the physical consumption capacity and expected photovoltaic output predicted based on weather forecast data, calculating to obtain a light abandoning risk index; s3, in combination with the light abandoning risk index, the expected photovoltaic output and the predicted market on-grid electricity price, calculating to obtain a total income after risk adjustment; s4, generating a photovoltaic investment value index through normalization processing based on the total income after risk adjustment and a preset reference total income; and S5, according to the photovoltaic investment value index and a preset value grading threshold value, outputting an investment decision support strategy. The method overcomes the defect that in the prior art, static and fixed limit values are adopted for evaluation, so that the evaluation result is disjointed with the actual operation condition of the power grid.

The invention relates to the technical field of compressed gas energy storage and renewable energy sources, in particular to a heat pump fused salt energy storage system and method coupled with a steam turbine. The system comprises a heat pump device, an energy storage device, an energy release device and a heat storage device. The heat pump device is used for converting external electric energy into heat and absorbing the heat, and is also used for absorbing the heat in the heat storage device; the energy storage device is connected with the heat pump device and used for storing heat absorbed in the heat pump device in the energy storage device. The energy storage device is connected with the energy release device and is used for transferring heat in the energy storage device into the energy release device; the energy releasing device is connected with the heat storage device and used for storing heat generated after the energy releasing device generates electricity outwards in the heat storage device. The molten salt heat pump device is used for replacing a boiler, the energy conversion rate is high, meanwhile, coal consumption is reduced, carbon dioxide emission is avoided, and environment friendliness is achieved. The heat pump device is used for heating the fused salt, the energy conversion efficiency is higher than that of electric heating fused salt, and the operation economical efficiency of the system is better.

The present disclosure relates to the technical field of renewable energy, and provides a self-networking method for a module controller, and a related apparatus, to improve the self-networking efficiency for the module controller. The method includes: controlling a power converter to search for multiple initial module controllers and obtaining a PLC link quality value between each initial module controller and the power converter, to obtain multiple PLC link quality values; filtering the multiple initial module controllers based on the multiple PLC link quality values and a minimum quality requirement threshold to obtain multiple candidate module controllers; and networking the multiple candidate module controllers to obtain multiple networked module controllers.

The present invention discloses an energy-saving system for a thermal power plant, a method for deep utilization of waste heat thereof, and an operation method. The system includes: a boiler that provides thermal energy for the thermal power plant; a high-temperature steam discharge pipe and a flue gas discharge pipe are provided on the boiler, and a steam turbine generator set is connected to the high-temperature steam discharge pipe; a steam outlet end of the steam turbine generator set is connected to the boiler through a circulation loop; a flue gas waste heat deep recovery and energy storage system that is used to receive part of the flue gas discharged from the boiler, recover the heat of the flue gas, and store it; a regenerative system that uses the heat stored in the flue gas waste heat deep recovery and energy storage system to heat the medium in the circulation loop; a photovoltaic heat pump condensate waste heat recovery system that recovers the waste heat in the circulation loop and stores the recovered heat in the flue gas waste heat deep recovery and energy storage system. Starting from the perspective of deep utilization of waste heat, the present invention combines energy storage technology, renewable energy technology, and heat pump technology, greatly improving the waste heat utilization level of the thermal power plant.

The utility model discloses novel photovoltaic power generation equipment, which belongs to the technical field of photovoltaic power generation and is characterized in that the outer end of a support frame is connected with a folding rod through a connecting frame, the rod head of the folding rod is connected with an additionally-mounted photovoltaic panel through a connector, the folding rod extends out of the additionally-mounted photovoltaic panel, and the angle of the additionally-mounted photovoltaic panel is adjusted through the connector. The area of the photovoltaic panel is increased through the additionally-installed photovoltaic panel, and the gravity center of the frame is adjusted through the additionally-installed photovoltaic panel to prevent the frame from overturning. The additionally-installed photovoltaic panel effectively enlarges the area of the whole photovoltaic panel, enhances the solar energy capturing capability, and improves the power generation efficiency. And by adjusting the folding rod and the connector, the gravity center of the frame can be optimized, and the stability and safety of equipment are enhanced. In addition, the additionally-installed photovoltaic panel can be adjusted according to different environments and illumination conditions, so that the optimal illumination effect is achieved, and the power generation efficiency is further improved. The use of the added photovoltaic panel is beneficial to reducing fossil fuel dependence and environmental pollution, and popularizing a clean renewable energy technology.

The invention discloses a distributed energy aggregation state evaluation and optimization control method and system based on a graph neural network, and relates to the technical field of smart power grids and renewable energy sources, and the method comprises the steps: representing a distributed energy aggregation system through a dynamic graph structure; based on the dynamic graph structure, establishing a state evaluation model based on a graph convolutional network, and estimating the operation state of the distributed energy aggregation system to obtain system state information; based on the system state information, constructing a distributed energy intelligent coordination control model, and generating a system optimal control strategy; a control instruction contained in the optimal control strategy is issued to each distributed energy unit; according to the invention, the operation state of the distributed energy system is accurately evaluated, and reliable state information is provided; intelligent coordination control is realized, and real-time decision is made according to changes; data processing and interpretability are enhanced, and operation and maintenance are assisted; and incremental learning online optimization is supported, and it is ensured that the control strategy is always optimal.

The invention discloses an AI-enhanced floating turbine six-degree-of-freedom motion actuation line calculation method, and belongs to the crossing field of computational fluid mechanics and ocean renewable energy technologies. Comprising the following steps: S1, constructing a basic actuating line model, taking a discrete blade as a blade element, and calculating an initial flow field and hydrodynamic parameters; s2, a three-level coordinate transformation system is established, and speed and attack angle correction of six-degree-of-freedom motion is completed; s3, predicting a dynamic lift-drag coefficient based on the time sequence features through a pre-trained deep learning agent model; s4, smoothly mapping the blade element hydrodynamic force into a flow field momentum source item, and solving a transient flow field in combination with CFD; and S5, constructing a'motion-flow field-hydrodynamic force 'iterative closed loop to realize dynamic coupling simulation. According to the method, the advantages of physical modeling and data driving are fused, the dynamic load prediction deviation is reduced, the calculation efficiency is improved compared with that of a full-geometric LES, and the method can be widely applied to optimization design and performance evaluation of the floating water turbine.

The invention relates to the technical field of renewable energy sources, and discloses a direct-current hydrogen production converter and a control method and device of the direct-current hydrogen production converter. The direct-current hydrogen production converter comprises a dual-active bridge branch and a step-down conversion branch, the dual-active bridge branch is connected in parallel with the step-down conversion branch; the dual active bridge branch and the step-down conversion branch are used for reducing the first direct-current voltage into second direct-current voltage, and the second direct-current voltage is used for supporting the hydrogen production electrolytic cell to work; and the electric energy output by the dual-active bridge branch and the electric energy output by the step-down conversion branch are complementary, so that the fluctuation of the electric energy output by the direct-current hydrogen production converter is reduced. According to the direct-current hydrogen production converter, high-power low-current ripple output can be realized, and a hydrogen production electrolyzer is supported to work.

The invention discloses a carbon neutralization optimization method and system based on SDs dynamic prediction. The method comprises the following steps: acquiring multi-dimensional influence factor data; predicting the carbon emission of the power consumer through the power consumption dynamic prediction model, and outputting power consumption and carbon emission prediction results; inputting the power consumption and carbon emission prediction result into a carbon emission optimization model, and optimizing the carbon emission of the power consumer to obtain an optimized carbon emission scheme; and performing economic evaluation on the optimized carbon emission scheme by calculating the carbon tax cost and the power technology subsidy to obtain a carbon neutralization evaluation report. According to the invention, the inclusiveness of various renewable energy technologies is effectively improved, and the method is suitable for the requirements of reducing carbon emission of various renewable energy technologies.

The invention discloses a closed refraction-reflection composite high-power eye-shaped solar concentrator, and relates to the technical field of renewable energy sources. Comprising a Fresnel lens and a reflector, the Fresnel lens and the reflector are symmetrically arranged to form an eye socket structure, rectangular frames are clamped to the edges of the Fresnel lens and the reflector, the rectangular frames are connected with movable end plates, rotating shafts are arranged in the movable end plates, and the inner sides of the rotating shafts are connected with tubular light receivers through steel wire corrugated pipes. The outer side of the movable end plate is connected with a fixed support, one side of the fixed support is provided with a motor module, the motor module is electrically connected with the movable end plate, and the motor module is externally connected with a controller; by the adoption of the closed refraction-reflection composite high-power eye-shaped solar concentrator, various influences of solar motion on the reflection concentrator can be avoided, energy loss caused by optical deviation is reduced, more solar energy is effectively collected, and higher photo-thermal conversion efficiency is achieved.