64 results about "Solar Resource" patented technology

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 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.

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 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.

The utility model discloses a photovoltaic coupling hydrate decarburization in-situ monitoring device which comprises a hydration purification decarburization system, the hydration purification decarburization system is connected with an in-situ Raman monitoring system, and the hydration purification decarburization system and the in-situ Raman monitoring system are connected with a solar photovoltaic system. The utility model has the beneficial effects that by introducing the solar photovoltaic system, solar energy is converted into electric energy, the stable operation of the hydration purification decarburization system and the in-situ Raman monitoring system is ensured, the operation cost is reduced, indirect carbon emission caused by traditional energy power generation is reduced, the energy storage battery can fully utilize abundant solar energy resources, and the energy conservation and emission reduction are realized. And continuous operation of the device is ensured.

The application belongs to the technical field of power system dispatching and control, and discloses an electrolytic cell three-state switching wind-solar-hydrogen storage hybrid system model predictive control method, comprising the following steps: in view of the problems of strong output uncertainty and difficulty in accurately modeling the multi-state operation characteristics of electrolytic cells under the background of high proportion of wind-solar energy access, a refined electrolytic cell model containing shutdown, standby and hydrogen production three-state switching logic is constructed; taking the minimization of the system comprehensive cost as the optimization target, considering the storage battery charging and discharging cost, the electric hydrogen production system operation cost, the power grid power purchase cost, the renewable energy operation and maintenance cost, the wind and light punishment cost, and the hydrogen sales revenue, a rolling optimization scheduling model is constructed; based on the system power balance equation, a predictive control optimization model is established to realize rolling optimization prediction. The above model predictive control method effectively improves the system operation economy and the renewable energy consumption capacity, and is suitable for power system dispatching scenarios containing high proportion of wind-solar resources.

An optimization method for stabilizing photovoltaic (PV) power generation fluctuations using distributed energy storage based on scenario sets is proposed. This method establishes a dispatchable capacity model for distributed energy storage based on its physical characteristics; establishes node voltage constraints and branch transmission capacity constraints for the distribution network; introduces reactive power regulation equipment to establish a dispatchable reactive power support range; and maintains power and voltage stability through distributed energy storage and various reactive power regulation devices while considering branch transmission capacity constraints. Finally, a coordinated optimization model for distributed energy storage based on PV power generation prediction scenarios is established. This invention prioritizes the basic safety of the distribution network and can be well applied to cities with abundant solar resources. By equipping distributed energy storage and certain reactive power regulation devices, it alleviates power and voltage fluctuations caused by intermittent PV power generation, thereby improving grid operational stability, reducing economic costs, and conserving resources.

The invention discloses a heat pump energy storage system integrating a photovoltaic photo-thermal device and a battery, which comprises a photovoltaic photo-thermal assembly, a heat pump assembly, a high-temperature heat storage assembly, a heat engine circulation assembly and a battery energy storage assembly, and is characterized in that the photovoltaic photo-thermal assembly is connected with the heat pump assembly and the battery energy storage assembly and is used for providing electric energy; the heat pump assembly, the high-temperature heat storage assembly and the heat engine circulation assembly are sequentially connected, the high-temperature heat storage assembly stores heat energy provided by the heat pump assembly and converts the heat energy into electric energy in the heat engine circulation assembly, and the photovoltaic photo-thermal assembly is connected with the heat engine circulation assembly and used for providing heat energy and converting the heat energy into electric energy in the heat engine circulation assembly. According to the invention, quick response to power grid adjustment can be realized, and efficient collaborative output of heat energy and electric energy is realized on the basis of fully utilizing natural solar energy resources. The invention further discloses an operation method of the heat pump energy storage system integrating the photovoltaic photo-thermal device and the battery.

This invention relates to the field of energy supply technology, and particularly to an integrated wind-solar-hydrogen-storage comprehensive energy utilization system and method. The system includes photovoltaic power generation equipment, wind power generation equipment, energy conversion and storage equipment, power conversion equipment, a balance of power (BOP) system, and material storage equipment. The energy conversion and storage equipment includes an SOEC electrolyzer, a PEMFC fuel cell, and a battery. The power conversion equipment includes an AC-DC converter and a DC-AC converter. During the day, when solar resources are abundant and wind resources are relatively scarce, excess photovoltaic power, besides supplying users, is used for hydrogen electrolysis and storage or for battery storage. Wind power is used to supply the user side and the BOP system. At night, when solar resources are scarce and wind resources are abundant, the SOEC is only in a heat preservation state. Wind power is supplied to the user side and for SOEC heat preservation, and excess wind power is stored in the battery. This invention achieves multi-level energy utilization from high to low energy levels, while ensuring rapid response on the user side, and possesses strong flexibility and adjustability.

This invention provides a hybrid energy system based on tower solar power generation and proton exchange membrane fuel cell combined power generation, along with waste heat multi-effect distillation for saline-alkali water desalination, belonging to the field of hybrid power generation technology. The system includes: a tower solar power generation module, a proton exchange membrane fuel cell module, a power management module, and a waste heat-utilizing saline-alkali water desalination module. This invention combines tower solar power generation and proton exchange membrane fuel cell for power generation, efficiently recovering low-grade heat from the proton exchange membrane fuel cell power generation process for saline-alkali water preheating and efficiently recovering high-temperature steam heat generated during the tower solar power generation process for saline-alkali water desalination. This promotes the upgrading of solar power plants in areas with abundant solar resources but predominantly saline-alkali groundwater, as well as on outlying islands, and also meets the local freshwater supply needs for production and daily life, avoiding resource waste while further improving power generation efficiency, making it more energy-efficient and environmentally friendly.

The invention provides a hybrid energy system based on tower type solar energy and solid oxygen fuel cell composite power generation and waste heat multi-effect distillation saline-alkaline water desalination, and relates to the technical field of composite power generation. The hybrid energy system comprises a tower type solar power generation module, a solid oxygen fuel cell module, a regenerative turbine power generation module and a saline-alkaline water desalination module utilizing waste heat. Tower type solar energy and a solid oxygen fuel cell are combined for power generation, and high-grade waste heat generated in the solid oxygen fuel cell power generation process and the tower type solar energy power generation process is efficiently recycled to drive a turbine generator to generate power and desalinate saline and alkaline water. The system promotes the upgrading of solar power plants in regions with rich solar resources and underground water mainly including saline-alkali water and away from islands, meets the fresh water supply required by local production and life, avoids resource waste, further improves the power generation efficiency, and is more energy-saving and environment-friendly.

The invention relates to the field of intelligent control, and particularly discloses a roof-type air water taking system based on solar power supply, which monitors environment, energy and water production states in real time, processes the information, particularly innovatively introduces quantitative evaluation on a water-energy conversion efficiency index, and provides a roof-type air water taking system based on solar power supply on the basis of the efficiency index. And in combination with key parameters such as solar input power and battery charge state, intelligent operation mode decision is performed. Through the intelligent scheduling, the system puts the limited solar energy resources into the water production task at the most appropriate time, so that the negative correlation between the instantaneous energy availability and the instantaneous water production efficiency is decoupled, and the maximization of the total water yield in the complete period of 24 hours is finally realized.

The application discloses a short-term ground surface solar irradiance prediction method and system in the technical field of solar resource prediction and artificial intelligence cross. The method comprises the following steps: acquiring the advanced calibration instantaneous extraterrestrial horizontal plane solar irradiance auxiliary data according to the longitude and latitude list of a target area and a set advanced time; constructing image modal input data according to satellite image data of the target area and the advanced calibration instantaneous extraterrestrial horizontal plane solar irradiance auxiliary data; and performing prediction by using a trained multi-modal fusion network according to historical ground surface irradiance time series data and the image modal input data to obtain a short-term ground surface solar irradiance prediction result. By introducing the advanced calibration instantaneous extraterrestrial horizontal plane solar irradiance auxiliary data and the multi-modal 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 an off-grid photo-thermal natural gas heat source pressure difference power generation coupling system and relates to the field of new energy power systems. The application generates high-temperature fluid by the heat of low-temperature molten salt generated by a photo-thermal power generation system and the heat of high-temperature flue gas of a natural gas emergency power generation system through a heat source well. The high-temperature fluid and constant-pressure cold water are distributed on both sides of a pressure difference membrane assembly. The steam on the high-temperature side is driven by the high-low temperature difference to flow from the high-temperature side to the low-temperature side through the pressure difference membrane. The steam is condensed on the low-temperature side to increase the pressure of the constant-pressure cold water, thereby driving a turbine generator to generate power. The power generated by the turbine generator is used for refrigeration. Even in the extreme case of solar energy resources, power can be generated by natural gas emergency power generation to supply power. The application realizes a stable, low-cost, efficient and combined power supply system for cooling, heating and power supply in an isolated network environment. The system assembly is simple, stable in performance, high in energy utilization efficiency and low in cost.

The invention relates to the technical field of solar energy resource utilization, and discloses surface-modified indium oxide and a preparation method and application thereof.The surface modification method of indium oxide comprises the steps that indium chloride and an ammonium hydroxide ethanol solution are mixed, and turbid liquid is obtained; centrifuging the turbid liquid, taking the centrifuged solid, and drying; grinding and calcining the dried solid to obtain powder; and placing the powder in PECVD equipment, introducing gas, keeping a low-pressure atmosphere in a tubular furnace in the PECVD equipment, setting the power of a radio frequency circuit of the PECVD equipment, and carrying out heat preservation to obtain the surface modified indium oxide. By means of the method, multiple effective utilization of solar energy resources and in-situ utilization of extraterrestrial resources are achieved. The prepared surface modified indium oxide can be applied to photo-thermal catalytic carbon dioxide reduction reaction.

The invention discloses a high-altitude wind power tower drum composite foundation design method based on frozen soil protection, comprising the following steps: S1, exploring geological information within a certain range of a wind power tower site to obtain frozen soil parameter information, ecological parameter information and solar energy resource information; s2, the shape of a composite foundation is designed and calculated according to the frozen soil parameter information and the load borne by the wind power tower, and a micro pile anchor fixing system is designed in the middle of the composite foundation; s3, according to the frozen soil parameter information and the solar energy resource information, designing frozen soil protection measures on the composite basis for keeping the temperature of a frozen soil layer; and S4, according to the ecological parameter information, a vegetation planting scheme is designed on the earth surface around the composite foundation so as to restore the surrounding ecology. By considering the problems of the foundation under different frozen soil conditions, the adaptability and reliability of the foundation are improved, and the frozen soil thaw collapse resistance of the wind power tower composite foundation is greatly improved.

The invention provides a Pyraform-based irradiance rolling prediction method, and the method is divided into four core parts: a data preprocessing module, a multi-source feature fusion module, a Pyraform prediction model, and a rolling prediction module. According to the invention, a Pyraformer model captures a plurality of different scale time sequence dependencies through a coarse scale construction module and a pyramid attention module; according to the method, the prediction precision and the prediction operation rate under the complex weather condition are remarkably improved, and the technical defect that a traditional method cannot respond to future weather sudden change due to dependence on historical data is overcome; the method can be widely applied to the fields of photovoltaic power generation power regulation and control, intelligent power grid dispatching, solar energy resource evaluation and the like, and has high precision, strong adaptability and wide application value.

The invention relates to a solar photo-thermal energy storage technology and application, in particular to a photo-thermal multi-source energy storage heat station. In order to fully utilize solar energy and conveniently meet production energy consumption, the invention provides a photo-thermal multi-source energy storage heat station which comprises a photo-thermal system, an energy storage device, a heat supply component and a user system, the photo-thermal system is composed of a solar heat collection device, a heat transfer working medium pipeline component and a heat transfer working medium power and / or control component, the energy storage device is a layered energy storage device; the user system comprises gas heating, thermodynamic cycle, hot water or steam production, medium heating and the like; the photo-thermal multi-source energy storage heat station has the beneficial effects that the solar photo-thermal utilization potential is excavated, an electric heating device and / or a combustion type enthalpy change heating device can be additionally arranged to serve as a supplementary heat source, the photo-thermal system technology is mature, the selection range of heat storage materials of an energy storage device is wide, the layered energy storage and layered energy release technology is adopted, and therefore the device is compact in structure and convenient to use. The heat supply component supplies heat through heat exchange, and the user system is widely applied; the photo-thermal multi-source energy storage heat station can serve as a heat energy production and supply scheme with a scene rich in solar energy resources, and the heat energy production and supply scheme comprises but not limited to mining sites, oil field exploitation and transportation, remote buildings, thickened oil heating, production process heat consumption, agriculture and animal husbandry production and other heat energy supply schemes.

This invention discloses a novel phase-change thermal storage photovoltaic (PV) collector, comprising a heat collection and transfer mechanism, a controller, and a hot water storage tank. The hot water storage tank is connected to a heat transfer tube within the heat transfer mechanism via a pipeline, on which a water pump is mounted. A temperature sensor is installed within the heat collection and transfer mechanism. Both the temperature sensor and the water pump are connected to the controller. The temperature sensor transmits collected data to the controller in real time, and the controller controls the operation of the water pump based on the data received from the temperature sensor. Beneficial effects: The novel phase-change thermal storage PV collector provided by this invention can effectively and rapidly reduce the temperature of photovoltaic cell modules, increasing their output power. It can also store and release heat in an orderly and efficient manner according to heat demand, synergistically improving the photoelectric and photothermal conversion efficiency, greatly enhancing the comprehensive utilization rate of solar energy, and promoting the efficient use of solar energy resources.

This application discloses a method, device, terminal, and medium for generating scenes in a multi-energy complementary system of water, wind, and solar. The solution first collects historical monitoring data of water, wind, and solar resources within a target area. Then, based on this historical monitoring data, it performs relevant characteristic analysis and extracts feature parameters of the water, wind, and solar resources from both temporal and spatial dimensions to obtain the spatiotemporal correlation characteristics of the resources. Using these spatiotemporal correlation characteristics as constraints, a conditional diffusion model is constructed and trained using a preset loss function. Then, the target scene conditions are obtained. Based on these target scene conditions and the trained conditional diffusion model, a set of water, wind, and solar scene sets is generated. This solution generates high-quality scenes by constructing a conditional diffusion model and using spatiotemporal correlation characteristics as constraints. It can accurately model the high-dimensional spatiotemporal coupling relationship of water, wind, and solar resources, generating realistic and diverse scenes, and improving the reliability of system planning and optimization.

The embodiment of the invention provides an ocean data center floating cabin energy system and a control method thereof. The split type floating cabin body serves as a basic carrier, a wind-solar complementary energy device is integrated on a top platform of the split type floating cabin body, and renewable resources such as solar energy and wind energy in the marine environment can be fully utilized; the wind-solar complementary energy device directly supplies energy to an electricity load in the split type floating cabin, so that the loss in the energy transmission process can be reduced, and meanwhile, an energy supply mode of dynamically switching a photovoltaic power generation priority mode and a wind power generation priority mode can be realized according to real-time wind-solar resource conditions; and the state monitoring module monitors the running state information of the wind-solar complementary energy device in real time and transmits the information to the processor to provide data support for accurate judgment of the processor, so that energy waste is effectively reduced, and the energy utilization rate is remarkably improved.

The invention relates to the technical field of renewable energy sources, and discloses a solar energy resource refined evaluation method and system based on multi-source data fusion. The method comprises the following steps: fusing satellite inversion and ground observation data to obtain real-time atmospheric parameters, determining cloud aerosol interference intensity, resolving irradiation components through a radiation transfer equation to obtain a preliminary irradiation estimated value sequence, and iteratively adjusting atmospheric transparency parameters to complete correction. Constructing a time dimension error accumulation mode, generating time correction coefficient correction data, and fusing scattering effect parameter iterative optimization to obtain a final dynamic irradiation model; and a terrain correction irradiation field is generated in combination with photovoltaic project regional terrain interaction data, a power generation prediction adjustment value is determined, the accuracy is verified through a random forest algorithm, and a refined evaluation result is output. The method breaks through the limitations of weak dynamic interference response and error accumulation of a traditional model, accurately captures atmosphere and terrain influences, improves the evaluation precision, and provides technical support for photovoltaic project site selection and power generation prediction.

The invention relates to the technical field of photovoltaic power generation, in particular to a photovoltaic power station light resource evaluation method, system and device and a storage medium. Extracting environmental parameters recorded by a long-term meteorological observation station in a target area, and integrating station actual measurement data and satellite remote sensing data to construct a multi-source meteorological data set; based on a multi-source meteorological data set, an inner and outer wall temperature stress relation model is established, calculation is performed by setting a heat conductivity coefficient, an outer wall heat flux density change rate and a thermal-mechanical coupling correction coefficient in combination with real-time radiation intensity, and a radiation gradient distribution model is obtained; the solar energy resource developable amount is dynamically calculated through the radiation gradient distribution model in combination with the environmental parameters, a light resource potential prediction model is constructed, the spatial and temporal distribution characteristics, the technical developable potential and the energy output value of the regional solar energy resources are analyzed, and a comprehensive evaluation report is formed. The technical problem that a traditional light resource evaluation method depends on a single index and neglects the influence of environmental factors is solved.

This application relates to the field of wind-solar-storage integration technology, and in particular to a wind-solar-storage integrated system based on a truss tower and its black-start method. It includes: a wind power unit comprising multiple wind electronic modules; wherein each wind electronic module includes a wind turbine and a truss tower; multiple tower base areas are set within the truss tower; a photovoltaic unit comprising a mounting module and multiple photovoltaic arrays, the photovoltaic arrays being set in each tower base area; an auxiliary integration unit comprising an energy storage module and an integrated conversion layer; and a management unit for acquiring grid monitoring data and determining whether to generate a black-start command based on the grid monitoring data. By optimizing the wind turbine's base structure and utilizing the truss tower to construct a "photovoltaic skirt" (i.e., multiple sets of photovoltaic arrays) surrounding the tower base, space utilization is improved, and the equipment parameters of the photovoltaic arrays are dynamically adjusted according to the solar resources of different tower base areas to improve power generation efficiency and maximize economic benefits.

The present application relates to the technical field of smart grid, specifically to a new energy power station wind and light 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 cycle adjustment module and a hidden danger traceability analysis module.In the present application, by extracting the dynamic characteristics of wind energy and solar energy resources and analyzing their multidimensional influence on power generation efficiency, the key nodes of power fluctuation can be identified and a multi-level prediction mechanism can be established.Combining the frequency and distribution of abnormal events, their evolution path can be classified, the timing characteristics of high-frequency abnormalities can be determined, the prediction cycle can be dynamically revised according to the risk, the equipment response difference and disturbance law can be traced and identified, the hidden danger path can be reconstructed, the adaptability and prediction accuracy of power fluctuation can be improved, the misjudgment and omission caused by environmental disturbance and equipment abnormality can be avoided, the stability and risk identification ability under complex conditions can be enhanced, and the refinement and safety of power management can be improved.

The embodiment of the invention discloses a regulation and control operation method and device for a wind-light-water combined power generation system, equipment and a medium. The method comprises the following steps: obtaining a theoretical wind power output value, a theoretical photovoltaic output value and a theoretical hydropower output value in each time period in a scheduling period; according to the wind power output value, the photovoltaic output value and the hydropower output value, a multi-objective optimization model based on residual load fluctuation, the wind and light resource abandoning rate and the optimal economic benefit is constructed; and solving the multi-objective optimization model based on an improved grey wolf optimization algorithm, solving the optimal output values of wind power, photovoltaic power and hydropower in each time period, and carrying out regulation and control operation on the system. A target optimization model is obtained by comprehensively considering the influence of the residual load fluctuation, the wind and light resource abandoning rate and the optimal economic benefit factor, an improved grey wolf optimization algorithm is used for solving to obtain the optimal output value of wind power, photovoltaic power and hydropower, the operation effect is effectively improved, the system is adjusted on line according to the optimal output value, and the optimal output value of the wind power, photovoltaic power and hydropower is obtained. And the on-line adjustment requirement during system operation is met.

This invention provides a method, apparatus, computer equipment, and medium for estimating solar resources in a photovoltaic power station, belonging to the field of photovoltaic power generation. The method includes: acquiring aerial photographs of a photovoltaic power station in a target area with complex terrain; reconstructing a 3D point cloud based on a structure-reconstruction-motion algorithm; performing 3D terrain reconstruction and 3D photovoltaic module reconstruction based on the reconstructed 3D point cloud; constructing a 3D scene of the photovoltaic power station and setting the spectral attributes of scene elements; dynamically adjusting the solar zenith angle and azimuth angle parameters to simulate the transmission process of downward solar radiation in the 3D scene, and outputting the absorptive photosynthetically active radiation value at the photovoltaic module level; and determining the impact of terrain shading on the light-receiving efficiency of the photovoltaic modules based on multiple instantaneous simulations. This effectively quantifies the impact of terrain shading on the light-receiving efficiency of photovoltaic modules, thereby significantly improving the estimation accuracy of solar irradiance and power generation for mountainous photovoltaic power stations.