4550 results about "Light energy" patented technology

A catheter system (100) for treating a treatment site (106) includes an energy source (124), a balloon (104), an energy guide (122A), an inflation conduit (140) and a pressure sensor assembly (142). The balloon (104) is positionable substantially adjacent to the treatment site (106). The balloon (104) has a balloon wall (130) that defines a balloon interior (146) that receives a balloon fluid (132). The energy source (124) generates energy that is received by the energy guide (122A) so that the energy guide (122A) can guide the light energy into the balloon interior (146). The inflation conduit (140) is in fluid communication with the balloon interior (146). The inflation conduit (140) is configured to convey the balloon fluid (132) into the balloon interior (146). The pressure sensor assembly (142) is configured to sense a balloon pressure of the balloon fluid (132) within the balloon interior (146). The pressure sensor assembly (142) is in fluid communication with the balloon interior (146) and the inflation conduit (140).

The invention provides an intelligent real-time detection method and system for PCCP welding quality, and relates to the technical field of online detection and intelligent evaluation of pipeline welding quality through machine learning. Light energy data and multi-light-source images of a spiral weld pool are collected, exposure parameters are dynamically adjusted through the energy difference of visible light near-infrared bands, and the real-time detection of the PCCP welding quality is achieved. Inhibiting strong light interference and generating a weld surface image; a stress concentration area is positioned by scanning a welding seam thermal deformation area and combining speckle pattern change, sound frequency change and the elastic characteristic of the thin-wall steel cylinder; inputting the surface image and the deformation data into a space-time convolutional neural network, fusing light energy change, image details and spatial features to construct a weld joint space structure diagram, and adaptively correcting the position of a sensor; and comparing the sinking depth of the three-dimensional point cloud reconstruction, analyzing the correlation between the sinking degree and the stress, and generating a probability thermodynamic diagram to output the pressure-bearing failure risk level, so that the probabilistic early warning of the pressure-bearing failure risk can be realized.

The invention discloses a phenology-based multi-source remote sensing ecosystem carbon flux estimation method, which comprises the following steps of: calculating direct and scattered photosynthetically active radiation of a target area by using multi-source remote sensing data; the method comprises the following steps: acquiring regional biological characteristic data of the same time sequence, performing nonlinear least square fitting by adopting a double-S-shaped curve to extract phenological characteristics of vegetation, setting a threshold value according to the phenological characteristics, and constructing a phenological constraint factor; based on a double-leaf light energy utilization efficiency framework, establishing an ecological system carbon flux model in combination with phenological constraint factors; and optimizing model parameters by using a Markov chain Monte Carlo method. And generating global total primary productivity data by using the model after parameter optimization, the method is superior to a traditional light energy utilization efficiency model, has advantages in the aspect of total primary productivity spatial-temporal change simulation, and improves the simulation precision of global carbon flux.

The invention relates to the technical field of scene rendering, in particular to a building information model scene rendering method and system based on parallel computing, and the method comprises the following steps: based on scene data stored in a building information model, analyzing space coordinates of geometric structure nodes of a building, and associating the geometric structure nodes with material attributes; and analyzing a data partition relationship according to the illumination distribution, and generating a geometric material illumination analysis result. According to the method, deep integration of geometry, materials and illumination is realized by analyzing spatial coordinates of geometric nodes and material attributes and combining illumination partition analysis, the data organization efficiency of a complex scene and the analysis precision of an illumination path are improved, light energy in a noise area is optimized by analyzing light propagation and energy distribution in a segmented manner, refraction and reflection paths are corrected, and the accuracy of the light path analysis is improved. And through texture boundary and scene geometry conjoint analysis, texture fracture is repaired, detail expression is enhanced, efficient analysis and optimization of complex building scene data are realized, and the high-precision rendering requirement is met.

The invention relates to the technical field of lighting energy efficiency management, in particular to a smart city lighting energy efficiency management system based on the Internet of Things, and adopts the technical scheme that the smart city lighting energy efficiency management system comprises a data acquisition and analysis module, an intelligent control module, a fault detection and early warning module, an energy management module and a report and statistical analysis module, environment data and traffic flow data are acquired in real time through an illuminance sensor, a temperature sensor, a humidity sensor, a pedestrian flow sensor and a traffic flow sensor which are deployed in each region of a city. According to the invention, through multi-sensor data acquisition and a complex algorithm, the illumination demand is accurately predicted, and personalized brightness adjustment and energy saving are realized; stable operation of the system is ensured through efficient fault detection and early warning; energy management is optimized, and efficient utilization of energy is realized in combination with a genetic algorithm and LSTM prediction; and the report and statistical analysis module provides visual display and decision support, so that efficient utilization of energy and optimization of the lighting effect are realized.

The invention relates to the technical field of intelligent monitoring, in particular to an intelligent monitoring type photovoltaic power generation system, which converts light energy into electric energy through a photovoltaic module and stores the electric energy, and changes the thermal compensation condition of the temperature of each area of an energy storage battery according to the actual situation. The temperature of different areas of the energy storage battery is monitored through the monitor, the electric energy parameters of the energy storage battery are obtained, historical data monitored by the monitor are stored through the prior analyzer, and a severe influence period and a gentle influence period are distinguished through the photovoltaic controller based on temperature influence tendency characterization values corresponding to different temperature influence periods. And monitoring the energy storage battery, determining an energy conversion characterization parameter to predict whether the energy storage effect of the energy storage battery meets a predetermined standard or not so as to determine whether the thermal compensation device is started or not, and adaptively intervening the thermal compensation device by considering the influence of the temperature difference of the energy storage battery on the energy storage efficiency in the operation process of the photovoltaic system. Therefore, the energy storage efficiency and the power generation efficiency of the photovoltaic system are ensured.

The invention relates to an optical fiber hydrogen sensor based on a silver film-nanowire hole array structure and a preparation method thereof in the field of photochemical sensors. The optical fiber hydrogen sensor comprises a multimode optical fiber, and a sensing area is formed on the multimode optical fiber; the sensing area is formed by stripping a coating layer with a preset length from the multimode optical fiber, thinning the optical fiber in the area, plating a silver film on the surface of the thinned optical fiber, and adsorbing a nanowire hole array structure which is sequentially and vertically arranged on the surface of the silver film in a liquid level self-assembly manner; the nanowire hole array is of a metal-medium-metal (MIM) structure, a gold-palladium nanowire array is arranged at the bottom, an intermediate medium layer is made of aluminum oxide, and a silver film with a hole array in any shape is arranged at the top. When light is transmitted to a sensing area from a fiber core of the multimode optical fiber, the light and a metal silver film can excite a surface plasmon resonance (SPR) effect, meanwhile, an MIM structure formed by a gold-palladium nanowire, an aluminum oxide dielectric layer and a porous silver film serves as an optical coupling antenna through a local surface plasmon resonance (LSPR) effect at the edge of a top hole, and the optical coupling antenna is used for transmitting the light to the sensing area. Light energy is efficiently converged and excited in an extremely bound gap plasmon (Gap Plasmon) in an aluminum oxide dielectric layer, so that far-unconventional electromagnetic field enhancement is generated in a sensing core area, and the sensitivity of the sensor is greatly improved.

The invention provides a garage light energy-saving management system and device, and the method comprises the steps: obtaining the environment illuminance and traffic flow parameters of a garage based on a sensor network, and building a garage light energy-saving control model according to the environment illuminance and traffic flow parameters; obtaining a garage light energy-saving control strategy based on the garage light energy-saving control model parameters; generating an expected lighting strategy of the garage lighting system through a scene control and induction control algorithm, wherein the expected lighting strategy is dynamically adjusted along with the traffic flow parameters; constructing an intelligent control model of the garage lighting system; and receiving an illumination instruction of the central control system, updating the illumination instruction based on the intelligent control model, and performing illumination control based on the updated illumination instruction to realize optimal management of light brightness and energy consumption. Energy consumption can be reduced, and lighting efficiency can be improved.

The invention belongs to the technical field of seawater desalination, and particularly relates to a solar efficient photo-thermal conversion type floating ball and seawater evaporation application thereof. Specifically, the solar efficient photo-thermal conversion type floating ball comprises a spherical inner core and a photo-thermal conversion material wrapping the spherical inner core, and the density of the spherical inner core is 25-500 kg / m < 3 >; wherein the photo-thermal conversion material is coated at least twice. According to the solar efficient photo-thermal conversion type floating ball, the photo-thermal conversion material is coated at least twice, the loading capacity is improved, meanwhile, a porous network structure is formed, and the seawater evaporation rate can be increased; sunlight irradiates on the floating ball, light energy is converted into heat energy under the action of the surface photo-thermal conversion material, salt is deposited on the floating ball along with water evaporation, and surface salt deposition is automatically and dynamically removed through the free rotating motion of the floating ball on the water surface under the action of centrifugal force and water flow scouring. And self-recovery of the evaporation process and continuous seawater evaporation are realized.

The invention provides a consumption reduction method and device for a wind and light energy storage complementary thermal power plant system, and the method comprises the steps: obtaining the wind speed, illumination intensity, energy storage charge state, auxiliary power load curve, power grid dynamic electricity price signal and thermal power generating unit auxiliary machine operation parameters of the thermal power plant system, and taking the parameters as a data set; based on a weather prediction model, a load prediction model and an electricity price fluctuation model, generating a wind power generation output prediction value, a photovoltaic power generation output prediction value, a load demand prediction value and an electricity price interval prediction value in a future preset time period according to the data set, and taking the prediction values as prediction results; by taking minimization of plant power cost and maximization of renewable energy consumption as targets, generating an energy storage charging and discharging instruction, a wind power generation and photovoltaic power generation grid-connected priority sequence and a thermal power auxiliary engine regulation and control strategy according to the data set and the prediction result to serve as control instructions; control instructions are executed through control equipment in the wind-solar energy storage complementary thermal power plant system, and energy conservation and consumption reduction are achieved by integrating wind energy, solar energy and an energy storage system.

The invention discloses a wind and light storage coordination control method and system for a virtual synchronous machine, and the method comprises the steps: building a wind power plant-energy storage power station double-layer response mechanism at a first stage, and employing a multi-time scale coordination control strategy for a second-stage energy storage system; and in combination with the virtual synchronous control characteristics of the optical storage power station, establishing a multi-scene optimization model of a wind and light storage multi-source collaborative double-layer coupling mechanism, and realizing dynamic optimization of output of each unit among inertia support, frequency modulation capacity and energy storage health state. According to the method, wind power plant rotor kinetic energy release combined overspeed load shedding control, a fuzzy control means based on an energy storage charge state and a VSG control means based on a virtual inertia and damping coefficient self-adaption photovoltaic system are considered, then wind and light energy storage frequency modulation coordination is optimized, and the system inertia safety is effectively improved on various working conditions and different time scales.

The invention discloses a wind and light storage station power reporting and tracking method based on energy storage rapid power response. The method comprises the following steps: acquiring wind and light power probability prediction data, power grid real-time operation state data, station operation state data and power grid examination allowable power deviation data in a current scheduling period; generating a dynamic power reporting interval of the next scheduling period based on the wind-solar power probability prediction data, the power grid real-time operation state data, the station operation state data and the power grid examination allowable power deviation data; and based on the dynamic power reporting interval and the real-time operation data of the wind and light storage station, a flexible control strategy is adopted to control the charging and discharging behaviors of an energy storage system in the station. By generating the dynamic power reporting interval with self-adaptive change and adopting the flexible control strategy, the operation condition of the energy storage system can be obviously optimized, the fluctuation of the wind and light power can be effectively stabilized, and the economy and reliability of the operation of the station can be improved on the premise of ensuring that the wind and light storage station tracks the power grid assessment requirement.

The invention relates to the technical field of wind and light energy storage, in particular to a wind and light energy storage optimization method and system for a low-carbon economic park. Comprising the steps that a plurality of energy storage sub-regions are established based on park parameters, an energy storage sub-region sequence A is generated, A = (a1, a2... an), and ai is the ith energy storage sub-region; n is the number of the energy storage sub-regions; establishing an energy storage collaborative model, and setting energy storage equipment parameters in each energy storage sub-region; according to a preset feedback time node, obtaining operation parameters of each energy storage sub-region, and judging whether a correction instruction is generated or not; according to the park parameters, a plurality of energy storage sub-regions are established, and corresponding energy storage modules are established for each energy storage sub-region, so that regional adjustment is carried out on the interior of the park, the normal power supply demand of the interior of the park in the valley period of wind and light power generation is ensured, and the peak clipping and valley filling optimization scheduling efficiency of a power system is improved. And the overall operation and maintenance cost of the energy storage system is reduced.

The invention discloses a scene generation and reduction-based wind and light energy random output prediction method and system, and the method comprises the steps: obtaining wind energy and solar power generation historical data of a target region, and selecting Weibull distribution and Beta distribution to construct a wind and light probability density function; based on a wind and light output historical data set, using a Latin hypercube sampling method to extract sample points from the probability density function to represent different wind power and solar power generation scenes; and based on the generated scene, performing scene reduction by using a K-means clustering method, and finally generating a wind and light output curve. The system part comprises a data acquisition module, a scene generation module, a scene reduction module and an output curve generation module, and by adopting an advanced scene generation and reduction technology, the fluctuation of new energy power generation can be managed and reduced more effectively, so that the stability and reliability of a power grid are improved, and the power generation efficiency is improved. And the problem of wind and light uncertainty under large-scale access of new energy is solved.

The invention belongs to the technical field of new energy power generation scheduling and energy management, and discloses a wind and light energy storage strategy optimization method based on a data acquisition and monitoring control system, and the method comprises the following specific steps: S1, multi-source data acquisition; s2, data preprocessing and feature extraction; s3, performing short-term prediction calculation; s4, energy storage scheduling optimization calculation; s5, generating and issuing a scheduling instruction; s6, scheduling execution monitoring and feedback acquisition; and S7, carrying out closed-loop deviation analysis and strategy correction. According to the invention, through multi-source data acquisition and preprocessing, key parameters such as wind speed, illumination and state of charge, historical power and load data are jointly analyzed, and a hybrid prediction method combining time sequence prediction and environment variable correction is adopted, so that higher-precision prediction of wind and light output and load trend is realized; this prediction not only captures the time continuity of the power variation.

The invention discloses a vegetation gross primary productivity monitoring method based on downscaling and multi-source remote sensing data, and belongs to the field of remote sensing image processing. In order to accurately monitor the GPP change of an engineering scale, the vegetation total primary productivity monitoring method comprises the following steps: acquiring first resolution multisource remote sensing data, downscaling by using CNN, inputting data containing DEM and LUCC in a layer, and dynamically adjusting background weight in a loss function through an LUCC binarization mask (a vegetation region is 1, and a non-vegetation region is 0); a CASA method is used for simulating GPP, a multi-year target area GPP data set is generated, and the maximum light energy utilization rate is determined by the vegetation type; analyzing GPP spatial and temporal change characteristics of the data set by using a Theil-Sen slope estimation method and the like, and extracting spatial distribution and a time change mode; extracting principal components of similar factors by using a principal component analysis method, calculating local correlation coefficients of the principal components and the GPP by using a partial correlation method, identifying dominant influence factors by using a contribution degree decomposition model, and extracting an environmental factor driven map. The method is applied to the field of ecological remote sensing monitoring.

The invention is a handheld device that utilizes light for skin treatment. It consists of a handle with a power source, a user interface, and at least two capacitors. Connected to the top surface of the base unit is a head with at least two flash lamps and at least two reflectors. The device includes a control unit that regulates the voltage on the discharge capacitors to control the light energy from each flash lamp. Additionally, the device comes with an exchangeable cartridge, with each type of cartridge featuring a unique window layout and electronic chip containing information on lamp activation.

The present invention relates to the field of photovoltaic panel support application technology, and in particular to a photovoltaic panel support. The present invention includes a support base, a U-shaped mounting frame is fixed to the top of the support base, the top of the U-shaped mounting frame is rotatably connected to an axle seat, the inside of the axle seat is rotatably connected to a rotating rod, a transmission block is fixed to the outside of the rotating rod, a mounting plate is fixed to the end of the transmission block away from the rotating rod, a photovoltaic panel is slidably connected to the top of the mounting plate, U-shaped cleaning frames are slidably connected to both sides of the mounting plate, and the inner side of the U-shaped cleaning frame is slidably connected to the photovoltaic panel. A photovoltaic panel support provided by the present invention can effectively perform multi-directional adjustments according to the trajectory of the sun's movement by rotating the photovoltaic panel and the rotating rod, so as to maximize the photovoltaic panel's effective absorption of light energy, greatly improving the practicality and flexibility of the device.

The invention relates to a distributed light storage energy control method, and the method comprises the steps: firstly collecting effective illumination data of all photovoltaic modules, constructing an illumination data set through combining historical data, collecting environment data, and associating the environment data with the illumination data, thereby forming an environment influence data set; through a machine self-learning algorithm, an environment influence data set is analyzed, an environment influence factor is generated, the conversion efficiency of a photovoltaic module is predicted, energy conversion data of an inverter and historical input data of an energy storage device are collected, a light energy conversion data set is constructed, a conversion efficiency factor is generated, and the photovoltaic module is analyzed by utilizing the predicted environment data and the environment influence factor. According to the method, effective illumination data is predicted, expected energy storage data is calculated, whether the expected energy storage data meets the power demand or not is judged according to the power demand data, and a power supply distribution strategy is generated, so that the distributed light storage energy system is regulated and controlled, and the energy effective utilization rate of the distributed light storage energy is improved.

The invention relates to the technical field of sensors, in particular to a non-intrusive passive wireless self-energy-taking quantum current sensor. The quantum current sensor comprises a self-energy-taking module and a quantum current sensing module. The self-energy-taking module is used for collecting environment energy of the environment where the tested device is located and converting the environment energy into electric energy so as to supply power to the quantum current sensing module through the converted electric energy; the environment energy comprises at least one of electric energy, light energy and magnetic energy; and the quantum current sensing module is used for sensing a current signal of the detected device under the condition of detecting that the detected device generates the magnetic field.

The invention provides a photovoltaic power generation and air water taking irrigation system, comprising: a photovoltaic power generation module for generating electric energy by using light energy; the gel adsorption module is connected with the photovoltaic power generation module and is used for adsorbing water vapor in air by using gel and driving the gel to desorb and release the water vapor by using waste heat generated by the photovoltaic power generation module; the condensation water collection module is connected with the gel adsorption module and is used for condensing the water vapor to obtain condensed water; the crop irrigation module is connected with the condensation water collection module and is used for irrigating crops by utilizing the collected condensate water; the soil detection module is connected with the crop irrigation module and used for controlling irrigation according to the detected crop root system soil humidity, collaborative production of water, electricity and crops can be achieved under the condition that no external input exists in the island reef environment, and the problems that in the island reef environment, fresh water is in shortage, electricity is insufficient, and self-sufficiency of agricultural production is difficult are solved.

A device is provided. The device includes mechanically stacked layers. The mechanically stacked layers include a bottom layer and upper layers. Each upper layer includes a transmissive solar cell that converts light energy into electricity. Each upper layer transmits unconverted portions of the light energy towards the bottom layer. The bottom layer includes a solar cell that converts the unconverted portions of the light energy into electricity.

The invention relates to the technical field of photovoltaic power generation systems, and discloses a liftable BIPV photovoltaic roof power system based on intelligent control, which comprises a panoramic light field sensing module, a multi-modal data fusion prediction module, an ambient light contribution analysis module, a self-adaptive angle optimization module and a partition cooperative control module. According to the invention, through omnibearing light field perception, multi-modal data fusion prediction, ambient light contribution analysis, adaptive angle optimization and partition cooperative control, intelligent optimization control of the angle of the photovoltaic roof assembly is realized, the light energy capture efficiency can be comprehensively improved, and the system has a prospective control capability and is suitable for popularization and application. The problems that in the prior art, response to rapid change illumination conditions is lagged in consideration of direct light of a single sun track, and illumination differences of different areas in a large system exist are solved.

The invention relates to the technical field of light guide film light intensity distribution regulation and control methods based on microstructure optimization, discloses a light guide film light intensity distribution regulation and control method and system based on microstructure optimization, and aims at solving the problems that an existing light guide film is fixed in light intensity distribution, insufficient in optimization precision and difficult to customize. The method comprises the following steps: constructing a light guide film model and a target light intensity distribution diagram, initializing microstructure parameters and simulating to obtain simulated light intensity distribution; deviation is calculated and serves as optimization algorithm input, and microstructure parameters are iteratively adjusted through a particle swarm optimization algorithm based on gradient guidance until convergence is met; and converting the optimized microstructure parameters into a manufacturing instruction. Through the scheme, reverse high-precision customization of light intensity distribution of the light guide film can be realized, the design efficiency, the light energy utilization rate and uniformity are remarkably improved, and the research and development period is shortened.

The invention relates to the technical field of power grid side large-scale wind and light and energy storage configuration, in particular to a wind and light storage capacity distribution robust optimization configuration method, device and equipment and a medium. Establishing a power grid side wind and light energy storage optimization configuration model considering inertia constraint; uncertain factors in the optimal configuration model are considered, and a probability distribution fuzzy set based on a mixed norm is constructed; establishing a two-stage distribution robust optimization configuration model based on data driving; converting the two-stage distribution robust optimization configuration model into a mixed integer linear programming model by using a linearization technology; and solving the mixed integer linear programming model by using a column and number generation algorithm to obtain an optimal configuration and operation scheme of each device. According to the method, the economical efficiency and load fluctuation can be balanced, and the problems of frequency instability and the like of a large-scale wind and light energy grid-connected power grid are avoided by considering inertia constraint.

The invention relates to the field of piggery tail end odor pollution treatment, and discloses a piggery tail end odor purification filter element preparation method and application, the preparation method comprises the following steps: loading a photocatalyst on the surface of a filter element body to obtain a carrier, respectively inoculating 3-5 kinds of antagonism-free deodorization microorganisms into corresponding LB liquid culture mediums for activation and propagation, and carrying out purification on the LB liquid culture mediums to obtain the piggery tail end odor purification filter element. The preparation method comprises the following steps: preparing a bacterial solution, mixing the bacterial solution to obtain a corresponding bacterial solution, compounding all the bacterial solutions in proportion to obtain a compound bacterial solution, infiltrating a carrier in the compound bacterial solution, and carrying out biofilm formation at room temperature to obtain the filter element. After the photocatalyst on the surface is illuminated, some refractory pollutants can be decomposed into smaller intermediate products which are easier to utilize by microorganisms by utilizing light energy, a more suitable substrate is provided for the microorganisms, and the microorganisms can further thoroughly decompose the intermediate products into harmless substances such as carbon dioxide and water, so that the degradation effect is improved. Therefore, the overall degradation efficiency and degree of pollutants are improved.

The invention relates to a semitransparent color-changeable solar cell and a preparation method thereof. The cell comprises the following modules which are stacked in sequence: a substrate; one or more photovoltaic modules, and one or more color changing modules. According to the technical scheme of the invention, the semitransparent solar cell can convert light energy into electric energy, and change of an absorption spectrum, namely photochromism, can be realized at the same time. In the embodiment of taking glass / ITO / PEDOT: PSS / PM6: Y6 / ZnO / BTE-CN / AgNWs: HPMC / ZnO as a device structure, 56.6% of average visible light transmittance can be maintained on the premise of realizing more than 5% of energy conversion efficiency, and the transmittance change exceeds 6% after complete color change. Meanwhile, compared with a standard device without a photochromic layer, the device with the structure can keep better anti-ultraviolet stability in the coloring-fading circulation process.

The invention discloses a self-powered cholesteric phase display screen display driving system and a control method thereof, and belongs to the technical field of display. The system comprises a low-light energy acquisition module, an energy management module, a control module and a display driving module. The control module controls the turn-off and turn-on of the voltage output function of the energy management module by outputting a sleep / wake-up signal, so that the system is charged by using ambient light during sleep, and image refreshing is quickly completed and the system enters sleep again during wake-up. By setting a balance point of wake-up time and energy consumption, it is ensured that refreshing energy consumption is lower than charging energy, so that energy self-balance and continuous work of the system in a luminous environment are achieved, and external charging is not needed. The problems that an existing cholesteric phase display needs frequent external charging during continuous work and a traditional light energy power supply scheme is low in efficiency in the low-light environment are mainly solved, self-powered continuous operation of the cholesteric phase display in the indoor and outdoor low-light environment is achieved, and use convenience is improved.

The invention relates to the technical field of new energy modeling, in particular to a wind and light typical scene generation method and device.The method comprises the steps that firstly, wind and light historical output data of a target wind and light power station are obtained, and a wind and light energy output edge distribution function of the target wind and light power station is calculated based on the wind and light historical output data; based on the wind and light energy output edge distribution function, using a mixed Copula function to construct a wind and light output joint distribution model; carrying out sampling and splicing processing on the joint distribution model of the wind and light output to generate a wind and light typical scene set; and finally, calculating the occurrence probability of each target scene in the wind-light typical scene set, calculating the correlation between the target scene and the wind-light historical output data, and selecting a final wind-light typical scene based on the occurrence probability and the correlation coefficient. The deviation between the generated wind and light typical scene and the actual situation is small, consideration on the correlation of the original wind and light data is combined, and the operation efficiency and safety of the power system are ensured.

The invention provides a photovoltaic module support amplitude stabilizing device, which relates to the technical field of photovoltaic equipment and comprises a support amplitude stabilizing execution module, a data acquisition module, a windproof control type determination module and a windproof control module. By constructing a three-level windproof control strategy system, accurate response to different wind levels is achieved, a first-level windproof control strategy is adapted to the vibration frequency and amplitude of a support in real time by dynamically adjusting the damping coefficient of a damping shock absorber, and a second-level windproof control strategy is adapted to the length of a windproof hydraulic cylinder based on wind speed and wind direction data. According to the three-level windproof control strategy, when strong wind exceeds a mechanical counteracting range, the dip angle of the photovoltaic panel is adjusted to a safe and efficient conversion angle, the wind resistance and the light energy utilization rate of the structure are balanced, and the wind energy utilization rate of the photovoltaic panel is increased. And the reliability and the economical efficiency of the photovoltaic system under the severe weather condition are improved.