145 results about "Solar Resource" patented technology

The invention discloses a solar radiation space-time prediction method and system based on physical information constraint and a neural network, and the method comprises the steps: collecting multi-dimensional time sequence meteorological data, extracting high-dimensional time sequence dynamic features, converting geographic space data into a fuzzy set, and carrying out the defuzzification of the fuzzy set through an inference rule, thereby obtaining geographic space features; and a gating mechanism is adopted to realize deep fusion of the space-time features to generate high-dimensional space-time fusion features. In a model training stage, an energy conservation equation is introduced into an optimization process, a physical residual error is constructed by calculating a time derivative and a space derivative of a predicted value, a physical constraint total loss function is formed in combination with a data loss item, and model parameters are updated by using a gradient descent method. According to the method, the accuracy and reliability of a prediction result are remarkably improved while the calculation efficiency is ensured, and the method is particularly suitable for solar radiation prediction under complex meteorological conditions; according to the method, abnormal prediction caused by data noise can be effectively corrected, and a solution with physical rationality and data adaptability is provided for the fields of solar resource evaluation, photovoltaic power generation power prediction and the like.

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

The invention discloses a hybrid crawler tractor for hills and mountains and a control method. The hybrid crawler tractor comprises a power system, a transmission system, an energy storage system, a driving system and a control system, the power system comprises an engine, a generator and a clutch; the transmission system comprises a mechanical coupling device, a gearbox, a power output shaft and the like; the energy storage system comprises a photovoltaic power generation panel and an energy storage device; the driving system comprises a driving system input shaft, left and right traction motors, left and right planet rows, driving wheels and the like; the control system comprises a whole vehicle controller, an energy storage device controller, a motor controller, an engine controller, a vehicle information sensor, a clutch control unit, a brake control unit and the like. According to the crawler tractor, a double-engine and motor mixed connection double-power flow structure is adopted, operation and running under various complex working conditions in hills and mountains are met, rich solar resources in the region are fully utilized, the advantages of a traditional crawler tractor and a new energy tractor are considered, and long-time operation in busy farming seasons is guaranteed.

The invention discloses a wind and light energy storage power station capacity prediction system based on multiple targets, and relates to the technical field of new energy power generation. The multi-target data acquisition module determines a target area according to power grid topology, load and wind and light resource distribution, equipment is installed to acquire data, a reliable data basis is provided for subsequent modules, data is ensured to be accurate and effective, error and abnormal data interference is avoided, and the balance management module monitors a power grid in real time. Analyzing the wind-solar power generation and electrical load balance relationship, and adjusting the operation mode of the energy storage power station according to the relationship; the power prediction module constructs and optimizes a model, accurately predicts power, calculates energy storage charging and discharging power, ensures stable operation of a power grid and improves energy utilization efficiency, and the scheduling decision module formulates a scheduling scheme in combination with multi-aspect information to ensure safe, stable and economic operation of the power grid; the risk assessment module comprehensively considers various risk factors, assesses the operation performance of each power station, matches a coping strategy and an early warning mechanism, and enhances the operation reliability and safety of the power grid.

The invention discloses an island energy system opportunity constraint weekly optimization scheduling method and system, and the method comprises the steps: converting the opportunity constraint of the actual output of wind and light into a deterministic inequality constraint based on the prediction error probability distribution characteristics of wind power and photovoltaic; according to the obtained wind and light output constraint, a dynamic operation model is established, and waste heat output of the hydrogen fuel cell is coupled with an absorption refrigerator; with the purpose of minimizing the total operation cost of the system, combining the obtained deterministic inequality constraint and the dynamic operation model, defining the power balance constraint of electricity / heat / cold / fresh water, the hydrogen storage tank capacity constraint and the equipment climbing rate constraint, and constructing an optimization model; and solving the optimization model by adopting mixed integer programming to obtain an optimization scheduling scheme. The requirements of electricity, cold, heat and fresh water of an ocean island energy system are met, and meanwhile energy storage and cross-period utilization during wind and light resource enrichment are achieved.

The invention discloses an optimal configuration method and device for a wind-solar hydrogen production system and a storage medium, and belongs to the technical field of new energy system coupling and optimizing.The method comprises the steps that basic parameters of a target area are collected, and a wind-solar hydrogen production system optimization model is constructed based on the basic parameters; and with the minimum annual operation cost of the system as a target, constructing a target function and a constraint condition of the wind-solar hydrogen production system optimization model, and based on the target function and the constraint condition, solving by a solver to obtain a capacity configuration scheme of each unit in the wind-solar hydrogen production system optimization model. According to the invention, the utilization rate of wind and light resources is improved while the power consumption of the load is met, the system operation cost is minimized, and the fluctuation problem of single energy supply can be effectively solved.

The invention discloses a sun-tracking type solar energy storage device and method, and relates to the technical field of solar energy storage, and the device comprises the following components: a sensing detection module, a control processing module, an angle adjustment module, a solar energy conversion module, a thermoelectric power generation module and an energy storage module. Environmental information such as geographic latitude, season and illumination intensity is accurately acquired through the sensing detection module, the control processing module is combined with a preset algorithm and a database, a sun tracking strategy is dynamically adjusted in real time, and the angle adjusting module is driven to accurately control the angle and speed of the solar cell panel, so that the solar cell panel is always kept at the optimal receiving angle; the defect that a traditional fixed sun tracking algorithm cannot adapt to complex environment changes is effectively overcome, the solar energy capturing efficiency is remarkably improved, and it is ensured that solar energy resources can be obtained to the maximum extent under different environment conditions.

The invention relates to the technical field of design and layout of a building photovoltaic system and renewable energy source evaluation, in particular to a mountainous area building surface solar energy potential evaluation method and device and a storage medium. The building surface solar energy potential evaluation method does not depend on traditional meteorological monitoring data and is suitable for coupling influence of cloud layer dynamic change and complex terrain shielding. By combining MODIS data, a digital elevation model and a machine learning algorithm, solar energy potential evaluation of the outer surface of a mountainous area town building without meteorological data can be realized, so that the problem that a traditional method depends on basic meteorological data is solved. Through the combination of three-dimensional modeling and multi-scale analysis, the limitation of an existing method under the influence of clouds, complex terrains and building shielding is overcome, particularly, the dynamic influence of cloud change and the shielding influence of the complex terrains can be effectively considered, the calculation efficiency and precision are improved, and the method is suitable for popularization and application. And a new technical path is provided for solar energy resource evaluation in mountainous cities and towns.

The invention relates to the technical field of new energy resource evaluation, in particular to a wind and light resource dynamic evaluation method and system based on multi-source remote sensing data, and the method comprises the following steps: inputting a region remote sensing image, calculating a boundary confidence coefficient, generating an interference classification identifier, reconstructing a resource prediction output value, predicting a trend analysis result, and evaluating a development suitability level. And generating a regional resource evaluation result. According to the invention, effective quantification of boundary stability and data confidence is realized through cooperative judgment of a remote sensing image boundary structure and reflected light intensity distribution, fine identification of wind flow offset and area shielding is carried out based on a terrain gradient and a wind direction included angle, and wind speed radiation data is accurately interpolated according to a space grid connection combination and a neighborhood change trend. And meanwhile, climate factors and resource change trends are accurately coupled, and actual path connectivity is determined in combination with terrain and land attributes, so that the spatial suitability and development accuracy of wind and light resources are effectively improved.

The invention relates to the technical field of intelligent power grids, in particular to a new energy power station wind-solar power prediction system based on artificial intelligence, which comprises a resource fluctuation analysis module, a power trend deduction module, a hidden danger evolution analysis module, a prediction period adjustment module and a hidden danger traceability analysis module. According to the method, by extracting the dynamic characteristics of wind energy and solar energy resources and analyzing the multi-dimensional influence of the dynamic characteristics on the power generation efficiency, power fluctuation key nodes can be identified, a multi-level prediction mechanism is established, evolution paths of abnormal events are classified in combination with the frequency and distribution of the abnormal events, the time sequence characteristics of high-frequency anomalies are clear, and the prediction period can be dynamically revised according to risks; tracing identification is realized by equipment response differences and disturbance rules, hidden danger paths are reconstructed, adaptability and prediction precision of power fluctuation are improved, misjudgment and omission caused by environmental disturbance and equipment abnormity are avoided, stability and risk identification capability under complex conditions are enhanced, and refinement and safety improvement of power management are promoted.

The utility model relates to the technical field of photovoltaic mobile houses, and provides a photovoltaic mobile house capable of adjusting the angle of a photovoltaic panel. The photovoltaic mobile house capable of adjusting the angle of the photovoltaic panel comprises a house body, an adjusting mechanism and a photovoltaic power generation panel, the house body comprises a base, a wall body and a roof, a plurality of locking universal wheels which are evenly distributed are installed on the lower surface of the base, the matched wall body is fixedly connected to the upper surface of the base, an inlet and an outlet are formed in the wall body, and the adjusting mechanism is arranged on the roof. The upper end of the wall body is fixedly connected with a roof, the upper surface of the roof is connected with an adjusting mechanism, the adjusting mechanism comprises a stepping motor, a rotating shaft, a rotating table, a frame plate, a supporting plate and an air cylinder, and the stepping motor is installed on the upper surface of the roof. According to the photovoltaic mobile house capable of adjusting the angle of the photovoltaic panel, in the using process, the direction and the inclination angle of the photovoltaic power generation panel can be adjusted according to sunlight, solar energy resources are utilized more sufficiently, and the energy conversion efficiency is effectively improved.

The invention discloses a wind and light resource seasonal scale influence factor screening method, device and equipment and a medium, which are used for solving the problems that a correlation analysis method is generally adopted for screening influence factors influencing a certain climate event in the existing climatic science, and the screened factors have correlation and do not have causality, so that the screening efficiency is low. And a prediction model established according to the method is low in precision. The method comprises the following steps: acquiring a wind and light resource seasonal scale influence factor, and preprocessing the wind and light resource seasonal scale influence factor to obtain a preprocessed influence factor; calculating a causal effect variable of the preprocessing influence factor and a prediction variable; screening an influence factor set from the preprocessed influence factors according to the causal effect variables; constructing a Bayesian network model by adopting the influence factor set; and generating an optimal influence factor set according to the Bayesian network model.

The invention belongs to the technical field of wind-light storage hybrid systems, and particularly relates to an optimal scheduling method of a wind-light storage hybrid system, which comprises the following specific steps of: establishing a high-precision prediction model according to meteorological data, power generation data and power grid data so as to realize optimal scheduling of the wind-light storage hybrid system by utilizing historical data and a machine learning algorithm; the generated power of wind energy and solar energy is accurately predicted, and a basis is provided for a scheduling decision; according to a prediction result and a power grid load demand, making a power generation plan of the wind-light-storage hybrid system, and defining an output target of each power generation unit; dynamically adjusting the power distribution of each power generation unit by adopting an optimization algorithm according to the real-time wind and light power generation power and the energy storage state to ensure that the total output power of the system meets the requirements of a power grid; and formulating an energy storage charging and discharging strategy. Through reasonable scheduling, wind energy and solar energy resources are utilized to the maximum extent, the phenomenon of wind and light abandoning can be reduced, and the comprehensive utilization rate of energy is improved.

The invention discloses a wind and light storage micro-grid capacity optimization method based on a particle swarm algorithm, and relates to the field consistent with the specification, and the content in a bracket is deleted during writing, and the method comprises the following steps: S1, building a micro-grid system model; s2, setting constraint conditions; s3, constructing a target function; s4, particle swarm optimization is carried out; according to the method, through the efficient global optimization capability and the multi-constraint condition adaptability of the particle swarm algorithm, an accurate distributed power supply and energy storage mathematical model is constructed, the annual maximum economic benefit is taken as a target, optimization is carried out in combination with regional wind and light resource characteristics and load demands, the investment economy of the micro-grid is remarkably improved, and meanwhile, the installation and maintenance cost is reduced; by reasonably proportioning the energy storage capacity and a wind-solar complementary strategy, the power supply reliability and stability of the system are enhanced; renewable energy sources are fully consumed, and the environmental benefits are remarkable; cooperative improvement of economy, reliability, environmental benefits and regional suitability is realized.

The invention discloses a solar radiation intensity short-term prediction method, device and equipment and a storage medium. The method comprises the following steps: in historical meteorological element reanalysis data and historical satellite observation data, matching target reanalysis data and target satellite observation data corresponding to a ground station based on position information of the ground station; training the short-term radiation prediction model based on the target reanalysis data, the target satellite observation data and the historical real solar radiation data to obtain a trained short-term radiation prediction model; and based on the current surface meteorological element data, the current satellite observation data and the trained short-term radiation prediction model, predicting the solar radiation intensity of the ground station in a future short term to obtain a prediction result. According to the technical scheme, the prediction precision and accuracy of the solar radiation intensity in a short period can be improved, so that the corresponding solar resources can be accurately predicted, a solar power station is better helped to perform reasonable scheduling, and the power generation efficiency is improved.

The invention discloses a multi-electrolytic cell power distribution method and device for an off-grid type wind-solar hydrogen production system. The method comprises the steps that a model of the off-grid type wind-solar hydrogen production system is established; establishing a system operation constraint condition; determining an optimization objective function; and an optimization algorithm is applied, and according to the model of the off-grid type wind and light hydrogen production system, the system operation constraint condition and the optimization target, an optimal power distribution scheme of each electrolytic cell is solved. By means of the scheme, the potential safety hazard of explosion possibly caused by too high hydrogen concentration in oxygen can be solved, it is ensured that the system operates within the safety range by controlling the operation power and duration, and the accident risk is reduced. Meanwhile, the power distribution strategy not only considers technical feasibility, but also pays more attention to economy, and is beneficial to improving the profitability of the whole system. In addition, on the premise of meeting various constraints, unstable wind energy and solar energy resources can be more effectively utilized for hydrogen production, and the absorption proportion of renewable energy sources is increased.

The invention provides a shared mooring double-impeller floating type draught fan photovoltaic integrated power generation field, and belongs to the field of offshore wind power and photovoltaic technologies, the shared mooring double-impeller floating type draught fan photovoltaic integrated power generation field comprises floating type draught fan photovoltaic integrated units, and a plurality of floating type draught fan photovoltaic integrated units are arranged, combined and connected to form a floating type draught fan photovoltaic array; the floating type fan photovoltaic integrated unit comprises a double-impeller fan platform, three photovoltaic power generation platforms and a shared mooring anchor point, the fan platform is connected with the three photovoltaic power generation platforms through two connecting mooring ropes, and the photovoltaic power generation platforms are distributed in a triangular shape around the double-impeller fan platform; the two connecting cables of the adjacent floating type fan photovoltaic integrated units are fixed on a shared mooring anchor point; the adjacent double-impeller fan platforms are connected through cables. Wind energy and solar energy resources in deep and far sea areas can be fully utilized, the sea area is effectively reduced, the development cost of a power generation system is reduced, and the energy utilization efficiency is improved.

A high-precision solar resource assessment method based on a downscaling method for complex terrain includes steps as follows. Step (1): an average climatic field is calculated based on monitoring data of sunshine durations, climatic field interpolation results are obtained based on the average climatic field, and a climatic field is created. Step (2): a difference between data of the sunshine durations and the climatic field is calculated, anomaly field interpolation results are obtained based on the difference, and an anomaly field is created. Step (3): the climatic field interpolation results and the anomaly field interpolation results are overlayed. Step (4): bias adjustment is performed on the high-precision sunshine duration interpolation results obtained in the step (3) based on the monitoring data of the sunshine durations to obtain final results. Step (5): daily solar radiation is estimated based on the sunshine durations and extraterrestrial solar radiation.

The invention relates to the technical field of agricultural irrigation intelligent control, discloses a wind-solar complementary 4G remote valve control system and a control method thereof, and solves the problems of unreliable irrigation and water resource waste caused by cloudy and rainy day interruption of single photovoltaic power supply and GPRS communication delay in a remote area without a power grid. The system integrates a wind power generation module, a photovoltaic power generation module, an energy storage device, a 4G communication module and a central controller, realizes wind-solar complementary power supply through an illumination intensity threshold value, and ensures continuous operation in cloudy and rainy days in combination with energy storage power difference compensation delta P; the utilization rate of wind and light resources is increased by 40% by adopting dynamic energy weight distribution; the communication energy consumption is reduced by 30% and delayed to a millisecond level by using a 4G bandwidth optimization algorithm; the valve opening is calculated based on a water demand model Qreq to achieve precise irrigation, and water resource waste is reduced by 25%. The implementation effect shows that the system can continuously work for 7 days (SOCgt; and the water saving rate reaches 28%, and the operation and maintenance cost is reduced by 35%.

The invention discloses a short-term earth surface solar irradiance prediction method and system in the technical field of solar energy resource prediction and artificial intelligence crossing. The method comprises the following steps: acquiring advanced calibration instant extraterrestrial horizontal plane solar irradiance auxiliary data according to a longitude and latitude list of a target area and set advanced time; constructing image modal input data according to satellite image data of a target area and the advanced calibration instantaneous extraterrestrial horizontal plane solar irradiance auxiliary data; and according to historical earth surface irradiance time sequence data and the image modal input data, performing prediction by using the trained multi-modal fusion network to obtain a short-term earth surface solar irradiance prediction result. According to the invention, by introducing advanced calibration of instantaneous extraterrestrial horizontal plane solar irradiance auxiliary data and a multi-mode deep fusion technology, the precision and robustness of short-term solar irradiance prediction are effectively improved, and the method is suitable for photovoltaic power generation power prediction and power grid dispatching.

The application discloses a solar energy cruising type new energy yacht in the technical field of new energy yacht, which comprises a ship body, the upper surface of the ship body is provided with a telescopic solar panel mechanism, the telescopic solar panel mechanism comprises a fixing frame fixed on the upper surface of the ship body, a rotating disc and a first gear wheel are rotationally connected in the fixing frame, the upper surface of the rotating disc is rotationally connected with a first connecting rod, the side walls of the fixing frame are all slidingly connected with first solar panels, the lower surface of the first solar panel is rotationally connected with the other end of the first connecting rod, a transmission assembly is arranged in the fixing frame, the side walls of the fixing frame are all rotationally connected with first rotating rods, and the first gear wheel drives the first rotating rods to synchronously rotate through the transmission assembly. The application can expand and convert solar energy for use by using multiple solar panels, and the utilization conversion rate of solar energy resources can be improved by using multiple solar panels.

The invention discloses highway ecological environment monitoring equipment which comprises a base, a lifting mechanism is mounted at the top of the base, a movable seat is arranged at the top of the lifting mechanism, a rotating mechanism is mounted on one side of the movable seat, the output end of the rotating mechanism is connected with a rotating cylinder, and a plurality of collecting cylinders are arranged in the rotating cylinder. A plurality of collecting barrels are arranged in the rotating barrel, a fan sucks sampled air into the collecting barrels for collection and detection, and a cleaning pipe for cleaning dust is arranged in the middle of a collecting pipe. The invention also discloses a highway ecological environment monitoring system, which only uses natural wind along the highway and follow-up wind power resources or solar energy resources of passing vehicles to generate power, stores electric power energy through the energy storage unit, and establishes wireless communication connection to monitor the ecological environment of the highway. Data collected by the highway ecological environment monitoring equipment are fed back to the control analysis platform in real time, and online monitoring of the highway environment is achieved.

The invention belongs to the technical field of electric power meteorology, and provides a medium and long term wind and light resource prediction method and system considering climate remote correlation factors, and the method comprises the steps: obtaining global climate index historical data, and carrying out the standardization processing of the data, and obtaining a standardized climate index; for the historical resource sequence of the target station, calculating the mutual information value of the standardized climate index, and constructing a forecasting factor set by taking the lag time corresponding to the maximum value of the mutual information as the optimal early warning window period; extracting wind and light resource measured data of the same period in historical years to construct a reference probability density function; and taking the reference probability density function as prior distribution, combining a preset dynamic mode prediction result as a likelihood function, and outputting a prediction result containing a deterministic value and a confidence interval. By means of the characteristic that ocean signals change slowly, the method breaks through the 15-day prediction limit of an atmospheric mode, effective trend prediction from the quarterly level to the annual level is successfully achieved, and the requirement for medium and long term resource evaluation is met.

The invention discloses a solar heat collector mirror surface intelligent electrostatic dust collection device which comprises a main body, a negative ion release electrode plate and an electrostatic adsorption plate carrying positive charges, the negative ion release electrode plate and the electrostatic adsorption plate are installed in the main body, and the negative ion release electrode plate releases negative ions to accumulated dust; the negative ion release electrode plate is arranged in front of the electrostatic adsorption plate; the driving part is mounted in the main body and is in driving connection with the electrostatic adsorption plate; a cleaning part linked with the driving part is arranged in the main body; the driving part drives the electrostatic adsorption plate to extend out of the main body and adsorb the accumulated dust carrying the negative ions, and the cleaning part stops; and when the driving part drives the electrostatic adsorption plate to retract into the main body, the cleaning part is started and cleans the electrostatic adsorption plate. By arranging the electrostatic adsorption structure, the mirror surface is cleaned in a non-contact mode, mirror surface abrasion is avoided, and meanwhile the working requirements for rich solar energy resources and shortage of water resources in northwest desert areas of China are met.

The present invention belongs to the technical field related to power scenario simulation, and discloses a stochastic simulation method and system for water-wind-solar scenarios considering spatio-temporal correlation. The method includes: collecting historical data of three types of water-wind-solar resources; determining the scenario simulation order and fitting the marginal distribution of each variable at any time period; for the first resource, constructing the first conditional distribution of the variable at the t time period of -1 t according to the first conditional distribution; obtaining the simulation value of the variable at the t time period; for any one of the second resource and the third resource, constructing the second conditional distribution of the variable at the t time period of the previous resource and the variable at the t time period of -1 of this any resource; obtaining the simulation value of the variable at the t time period of this any resource according to the second conditional distribution; obtaining the simulation value of the variable at the t time period. The present invention incorporates the correlation characteristics of different resources in space, and can more comprehensively simulate and analyze the multiple uncertainties of water-wind-solar resources.

The application discloses a kind of surface solar radiation prediction method and equipment based on satellite observation data, belong to solar radiation remote sensing prediction technical field.The method includes obtaining target observation data and prediction model;Difference is obtained by the target observation data of the adjacent observation time of each spectral channel of the top reflectivity of atmosphere layer, and cloud movement sensing feature is obtained;The input sequence that target observation data and cloud movement sensing feature jointly constitute is input into the prediction model, and the surface solar radiation prediction result is obtained.The application can realize more rapid, more continuous surface solar radiation short-term prediction, and reduce the dependence of intermediate inversion product and multi-source auxiliary data while maintaining good prediction accuracy in actual prediction stage, and has practical application value for solar energy resource monitoring, photovoltaic power generation power estimation and short-time power dispatching.

A method for generating typical watershed hydro-wind-solar hybrid scenarios based on an improved C-vine Copula model is proposed. First, based on long-term multi-energy complementarity requirements, multi-year runoff data from a power station and power output data from wind and solar power stations within the watershed are selected, outliers are removed, and missing values ​​are filled, completing data preprocessing. Next, runoff and wind / solar output are set as random variables, and nonparametric kernel density estimation is used to obtain the marginal distribution functions of each variable. Then, the improved C-vine Copula model is used to accurately characterize the spatiotemporal correlation between water, wind, and solar resources, deriving the joint probability distribution. Then, Latin hypercube sampling is used to collect uniformly random samples stratified, and K-means clustering is used to generate typical scenarios. Finally, the effectiveness of the scenarios is evaluated from the perspectives of temporal and spatial correlation and randomness. This technology can effectively address the randomness and complexity of water, wind, and solar resources, generating realistic typical scenarios, providing valuable reference for the planning and scheduling of watershed hydro-wind-solar hybrid systems.

The utility model discloses a rural house heat exchange device which comprises a house body, a solar energy collecting mechanism, an adjusting mechanism and a driving mechanism, the solar energy collecting mechanism comprises a solar photovoltaic frame and a solar heat collecting frame, and the adjusting mechanism comprises a threaded rod, a push block, a sliding groove and a sliding plate. The large-area solar photovoltaic frame and the large-area solar heat collecting frame are additionally arranged on the house body, so that the vacant area of the roof of the northern rural house and abundant solar energy resources in winter can be utilized under the condition that an original heat supply system of the rural house is not dismantled; a push block is driven by a threaded rod to move, so that a movable heat collection plate and a movable photovoltaic plate can be driven to move to a light hole to work, and the utilization effect of solar energy is improved; and the plurality of push blocks only push the specified number of connecting blocks for adjustment, so that the sun irradiation area is adjusted more carefully, and the utilization efficiency is higher.

The utility model provides an energy storage device for a photovoltaic power station, which belongs to the field of photovoltaic technology and comprises a supporting assembly, a base, a support fixedly connected to the side wall of the base and a cross beam fixedly connected to the side wall of the support. The energy storage assembly comprises a supporting rod installed in the middle of the cross beam in a sliding mode, an energy storage battery body installed at the upper end of the supporting rod, and a blocking strip fixedly installed at the end of the supporting rod. The beneficial effects of the utility model are that through the cooperation of the supporting assembly and the energy storage assembly, electric energy can be stored when the generated power is excessive, electric energy can be released when the generated power is insufficient, electric power can be stably output according to a predetermined power generation plan, the friendliness and schedulability of photovoltaic power generation to a power grid are improved, and the acceptance capability of the power grid to photovoltaic power generation is enhanced; in an area with abundant illumination resources and limited power grid absorption capability, the energy storage device can store redundant electric energy, so that light abandoning loss caused by incapability of timely grid connection is avoided, and the utilization rate of solar energy resources is improved.

This invention discloses a method and system for evaluating the complementarity of wind and solar resources based on physically embedded deep learning, belonging to the field of resource assessment. The method includes: acquiring meteorological elements and digital elevation model data for the target area; calculating the elevation change rate between adjacent grids, distinguishing between flat and non-flat areas based on the IGC algorithm, and extracting terrain features separately; generating periodic features of solar altitude angle through radiation data, and concatenating them with terrain features to obtain fused features; constructing a physically embedded NODE-SA-ConvLSTM model, combining a self-attention mechanism to capture the global dependencies of wind and solar elements, and outputting wind speed and radiation prediction results; using a constant error compensation mechanism to perform sliding balance correction on the prediction residuals; and quantifying the complementarity of regional wind and solar resources through a wind-solar complementarity coefficient. This invention, by introducing a physically embedded mechanism and continuous-time modeling, effectively improves the accuracy and stability of wind and solar resource prediction, realizing the complementary evaluation of wind and solar resource endowments.