115 results about "Renewable energy technology" patented technology

The invention discloses an energy storage control and adjustment method and system for distributed photovoltaic consumption, and relates to the technical field of renewable energy sources, and the method comprises the steps: obtaining illumination intensity, temperature data and historical load data, and predicting the future photovoltaic power generation amount and load demand changes; analyzing the voltage fluctuation of the power grid and the charging demand of the energy storage system based on the prediction results of the photovoltaic generating capacity and the load demand; according to the health state of the energy storage battery, optimizing the charging and discharging depth, and outputting an energy storage adjustment plan; dynamically optimizing the charging and discharging plan and reactive power regulation of the energy storage system by using a multi-objective optimization algorithm, and generating an optimal reactive power regulation instruction; according to the reactive power adjustment instruction, performing transformer area self-adaptive cooperative control to obtain a cooperative control result; according to the invention, through an area adaptive cooperative control mechanism, the reactive power regulation capability of the adjacent areas can be automatically coordinated when the regulation capability of the local energy storage system is insufficient, and the stability of the power grid and the utilization efficiency of the energy storage system are further enhanced.

The invention discloses a power proxy service system and method based on artificial intelligence, and the method comprises the steps: collecting power data in real time through an intelligent electric meter and a sensor, and uploading the power data to a cloud platform through the Internet of Things for preprocessing and marking; predicting the power load by using time sequence analysis, regression, SVM and LSTM methods in combination with weather, season and holiday factors; power grid load dispatching is optimized through reinforcement learning or a genetic algorithm, and automatic allocation is achieved; the sensor monitors the state of the power equipment in real time, predicts the fault risk and gives an alarm in advance; the system provides energy-saving suggestions according to historical power consumption data of a user, and adjusts an equipment operation mode in real time; the intelligent customer service server pushes personalized electricity consumption suggestions based on natural language processing; an encryption technology and multiple identity authentication are adopted to guarantee data security, regular security audit and vulnerability repair; according to the electric power proxy service system and method based on artificial intelligence, integration with an AI system and construction and optimization of an intelligent power grid and renewable energy technology are promoted.

An in-situ biogas purification method for anaerobic digestion of sludge based on exogenous hydrogen supply relates to the field of solid waste resource utilization and renewable energy technology. The purpose of the present invention is to solve the problems of low hydrogen solubility and insufficient carbon dioxide bioconversion in the biogas purification process, as well as the inhibitory effect of excessive hydrogen dosage on biogas production by anaerobic digestion of sludge. The present invention utilizes the anaerobic digestion process of sludge in an anaerobic environment to produce biogas, and adds hydrogen to the process by direct hydrogen input or zero-valent iron corrosion, so that hydrogen penetrates into the liquid phase. The hydrogenotrophic methanogens in the system use hydrogen as an electron donor and carbon dioxide in the biogas produced by anaerobic digestion of sludge as an electron acceptor to convert hydrogen and carbon dioxide into methane to achieve in-situ biogas purification. The present invention can obtain an in-situ biogas purification method for anaerobic digestion of sludge based on exogenous hydrogen supply.

The invention discloses an intelligent solar unmanned logistics distribution control method and system, and relates to the technical field of renewable energy sources, and the method comprises the steps: obtaining real-time weather data and a current geographic position through a vehicle-mounted meteorological sensor and a GPS positioning system; the intelligent energy management system analyzes weather and geographic position data and calculates expected energy output of the solar panel; based on the distribution task list and the current geographic position, a distribution route is planned, the feasibility of the route is evaluated, and an optimal distribution route is generated; according to the optimal distribution route and the current position of the sun, the vehicle speed and the battery use strategy are dynamically adjusted; and after the distribution task is completed, summarizing the distributed energy consumption data and the solar panel efficiency report, and optimizing a dynamic path planning algorithm. Through a series of intelligent control methods, the energy utilization efficiency and the task execution reliability of the unmanned logistics distribution system are improved, and the distribution service quality and the customer satisfaction are further improved through continuously optimizing the path planning algorithm.

The invention provides an off-grid hydrogen production system capacity optimization method and device, a storage medium and electronic equipment, and relates to the technical field of renewable energy sources. The method comprises the following steps: acquiring configuration parameters and new energy power generation power of the off-grid hydrogen production system; defining system operation constraint conditions based on the configuration parameters and new energy power generation power, and constructing a capacity configuration multi-objective optimization model by taking hydrogen leveling cost minimization, new energy consumption proportion maximization, hydrogen production capacity maximization and electrolytic bath equivalent full load hours maximization of the off-grid hydrogen production system in a preset time period as objective functions; and solving the capacity configuration multi-objective optimization model by adopting a non-dominated sorting genetic algorithm to obtain a Pareto target capacity configuration solution set. By intelligently optimizing the capacity configuration of the off-grid hydrogen production system, maximization of new energy utilization, minimization of hydrogen production cost and overall improvement of system operation efficiency can be synergistically realized on the basis of ensuring stable hydrogen supply of the off-grid hydrogen production system.

The invention discloses a power equipment optimal operation life decision-making method based on technical economy, belongs to the technical field of renewable energy sources, and aims to solve the problem that economy and technicality are not combined when the operation life of power equipment is calculated in the prior art. Constructing a static economic life calculation model of the power equipment by adopting an output result of a full-period cost calculation module in combination with a constant-speed degradation trend of the operation and maintenance cost and a fault probability of the maintenance cost; constructing a dynamic economic life measuring and calculating model of the power equipment by combining an output result of the static economic life measuring and calculating model with the time value of the fund; outputting a dynamic economic life measurement result; constructing a technical life prediction model of the power equipment based on an HGWO-LS-SVM algorithm, and outputting a technical life prediction result; and obtaining the optimal operation life of the power equipment according to the dynamic economic life measurement result and the technical life prediction result. The method is used for calculating power equipment service life.

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, in particular to an intelligent photovoltaic power station operation and maintenance management method and system, and the method comprises the steps: obtaining multi-modal data, such as a hyperspectral image and an electroluminescent image, and carrying out the time-space registration; cross-modal feature fusion is realized through an attention mechanism; environmental stress and material degradation influence are separated by using a variational auto-encoder, and an aging feature map is generated in combination with a three-dimensional convolutional neural network; and generating a dynamic maintenance path based on the topology constraint graph and a reinforcement learning algorithm, and adjusting the priority of the path through real-time data. The system can comprehensively capture the aging characteristics of the photovoltaic module, improves the aging prediction precision and maintenance efficiency, reduces the operation and maintenance cost, and promotes the intelligent management of a photovoltaic power station.

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 discloses a photovoltaic photo-thermal device and a control method and device of the photovoltaic photo-thermal device, and relates to the technical field of renewable energy sources. The system comprises the photovoltaic photo-thermal assembly, the energy storage assembly, the refrigerant circulation assembly, the water storage assembly and the reversing valve, and the photovoltaic photo-thermal assembly can heat the energy storage assembly in a low-temperature environment by using heat obtained through photo-thermal conversion by controlling the action of the reversing valve, so that the operation stability of an energy storage battery can be ensured, and the service life of the energy storage battery is prolonged. According to the photovoltaic photo-thermal module, the heated refrigerant can cool the condenser, hot water obtained through heat exchange is stored in the water storage module and can be used in daily life, and the cooled refrigerant can flow into the photovoltaic photo-thermal module and cool the photovoltaic photo-thermal module, so that the photoelectric conversion efficiency can be improved.

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 a renewable energy technology, in particular to a catalyst applied to a preparation method of biological ship fuel, and the catalyst is a sulfonated carbon catalyst. The sulfonated carbon catalyst is prepared by the following steps: S1, soaking biodiesel waste in n-hexane, standing overnight, and dissolving grease; s2, filtering the dissolved biodiesel waste to obtain an oil-solvent mixture and residues; s3, separating and recovering the solvent and oil from the oil-solvent mixture through a rotary evaporator, and pyrolyzing residues in a tubular rotating bed reactor to obtain a carbonized product and pyrolysis gas; and S4, mixing the carbonized product with concentrated sulfuric acid for reaction to generate the sulfonated carbon catalyst. According to the method, efficient resource utilization of waste is achieved, the produced recycled oil is used for preparing the biological ship fuel, a high-performance catalyst with high adaptability is provided for sustainable biological ship fuel production, the cost is low, the conversion efficiency is high, and the economic benefit is good.