32 results about "Power degradation" patented technology

The invention discloses a network construction type energy storage transient stability optimization control method and system considering reactive power degradation, and belongs to the field of power system transient stability control. According to the method, a network construction type energy storage grid-connected system model is constructed, a reactive power degradation effect dynamically triggered by a reactive power control loop is analyzed, and an active power loop optimization control equation is established according to the reactive power degradation effect. On the basis, a self-adaptive torque adjusting module is embedded in an active control module, and when it is monitored that the internal voltage of the inverter is reduced to 50% of a rated value, the reference torque is automatically and dynamically corrected so as to improve the power angle transient stability margin of the system. Simulation results show that the method can effectively restrain the instability of the network construction type energy storage power angle, obviously enhance the transient stability of the system, and guarantee the safe and reliable operation of the power grid.

The invention relates to the technical field of mode recognition, in particular to a method and system for detecting the shielding state of a photovoltaic array, and the method comprises the following steps: judging output compression caused by maximum power point offset, constructing disturbance distribution quantity through voltage sorting deviation, and recognizing a power difference trend abrupt change branch. And extracting power reduction abnormal points to establish shielding evolution monitoring, and judging response consistency and state verification in combination with temperature rise and power trend. According to the method, multi-dimensional perception and cross validation of the shielding state are realized by constructing compression degree representation, combining voltage output sequence disturbance analysis and power difference trend identification, establishing a continuous evolution process expression mechanism of the shielding signal under a physical layout dimension and combining a directivity matching relation of temperature and power change; the local identification capability and the dynamic monitoring capability of the shielding influence area are improved, the judgment interference caused by environment fluctuation and non-shielding abnormity is avoided, and the stability and the robustness under the complex operation working condition are enhanced.

The invention relates to the field of photovoltaic power generation, and discloses a photovoltaic module life prediction method considering individual degradation differences, which comprises the following steps: constructing a degradation model for a power degradation increment based on inverse Gaussian-gamma mixed distribution, and introducing a random diffusion parameter variable obeying gamma distribution into inverse Gaussian distribution obeyed by the power degradation increment, according to actual measurement data of the photovoltaic module to be detected, quantitative solving is carried out on model parameters of the degradation model, and optimal model parameters are determined; according to the degradation model under the optimal model parameter, a corresponding component degradation track is generated in combination with randomly generated diffusion parameters, and the service life of the component is confirmed according to a preset failure threshold value; performing repeated sampling on diffusion parameters to generate life distribution; according to the invention, the coupling randomness of environmental factors and individual differences during degradation of the photovoltaic module is considered, and the prediction accuracy is improved.

The utility model discloses a split type folding solar panel, which relates to the field of photovoltaic technology, and comprises two pieces of base cloth and a solar cell panel arranged at the top of the base cloth, and the two pieces of base cloth are connected through a zipper; the transverse supporting frameworks are arranged on the two sides of the two pieces of base cloth and used for transversely supporting the two pieces of base cloth. According to the utility model, through the cooperation of parts such as the zipper, when the solar cell panel needs to be used separately, the zipper can be unzipped, the two pieces of base cloth are separated, the device can be divided into two parts for use, and when the solar cell panel needs to be used integrally, the two pieces of base cloth are combined through the zipper, so that the power generation requirements of different common power specification sections can be met; and when the solar cell panel in a certain substrate cloth area is damaged or the power is reduced, a user can replace the solar cell panel without overall scrapping or waste, so that the overall practicability of the device is improved.

This invention provides a method for processing photovoltaic (PV) module EL images and calculating module power attenuation. The method involves capturing EL images of the PV module using a CCD camera (black and white images); converting the black and white images into a heatmap using image processing software; qualitatively observing light changes in the EL image within the heatmap; adding a standard ruler to the heatmap to directly compare light intensity in different areas of the EL image to determine the basic performance of the PV module; calculating the average fluorescence intensity of the Red Hot heatmap; and converting the fluorescence intensity data into PV module power attenuation data to determine the PV module's performance. This method allows for a direct, qualitative, and quantitative assessment of the basic performance of PV modules.

This invention relates to the field of new energy hydrogen production technology, specifically disclosing an optimized control method for an electrolyzer system based on photovoltaic power output prediction, comprising: S1: acquiring historical operating data of the photovoltaic system, and predicting the photovoltaic power output sequence within a preset time period based on a long short-term memory neural network model optimized by particle swarm optimization; S2: dividing the preset time period into a power increase phase and a power decrease phase according to the peak time of the photovoltaic power output sequence; S3: for the power increase phase, dividing the system into multiple first sub-intervals with a first preset period, calculating the average photovoltaic power output in each first sub-interval, and determining the lower limit of the number of electrolyzer arrays to be started in each first sub-interval; for the power decrease phase; the technical solution of this invention can solve the technical problems of frequent start-up and shutdown of electrolyzers, uneven equipment loss, and low photovoltaic absorption rate in existing photovoltaic hydrogen production systems.

Instead of risking interface failures caused by power degradation, all channels between the controller and the storage device (both in-band and side-band channels) are continuously monitored. This monitoring includes extracting relevant clues and using a predictive model that correlates the monitored clues with the subsequent occurrence of power degradation events. In response to the prediction results, the system can perform various remediation processes (countermeasures). The controller monitors various clues from the storage element and the power supply to predict an event with marginal signal integrity degradation at the interface. The monitoring and mitigation strategy is based on an open system. The controller does not use a continuous real-time feedback channel from the storage device that could signal pass / fail conditions.Given the nature of an open system and the calibration tolerance for the data acquisition, processing, and inference system, the controller must also be able to cope with false positive events.

This invention provides a class of short-wavelength light-converting materials based on benzoxazole, with the structure shown in Formula I, where R1 and R2 are each independently hydrogen atoms, C1-C18 straight-chain or branched alkyl groups; and R3 is an aryl group or a substituted aryl group. The short-wavelength light-converting material of this invention possesses advantages such as excellent short-wavelength ultraviolet light absorption, high luminous quantum efficiency, good photostability, low cost, and ease of mass production. When doped at a certain concentration into the encapsulating film of solar cells, it can efficiently absorb short-wavelength ultraviolet light to avoid UVID (ultraviolet-induced power degradation), and convert the absorbed short-wavelength ultraviolet light into long-wavelength ultraviolet or blue-violet light that can be efficiently utilized by solar cells, thereby increasing power generation. This is of great significance for improving the overall performance and economic benefits of photovoltaic modules.

The present invention provides a heterojunction solar cell and a manufacturing method therefor. The method uses a predetermined deposition process to sequentially form an oxygen-containing crystalline silicon layer of a first conductive type on the surface of a first passivation layer distant from a silicon substrate, wherein the oxygen atom doping concentration of the oxygen-containing crystalline silicon layer gradually increases in a direction facing away from the silicon substrate. On the one hand, light oxygen doping is performed at the interface of the first passivation layer, thereby reducing dark degradation of the heterojunction solar cell, and thus mitigating power degradation of a photovoltaic module; on the other hand, heavy oxygen doping is performed on the side distant from the first passivation layer, thereby effectively increasing the optical bandgap and short-circuit current of the crystalline silicon layer on a light-receiving surface. In addition, oxygen-free doping is performed in a semiconductor layer at the interface adjacent to a transparent conductive layer, thereby effectively reducing ohmic contact between the semiconductor layer and the transparent conductive layer. The method of the present invention can effectively ensure and improve the comprehensive electrical performance of the heterojunction solar cell.

The invention provides coated photovoltaic glass, a preparation method thereof and a photovoltaic module, and particularly relates to the technical field of solar cells. The film-coated photovoltaic glass comprises a photovoltaic glass original sheet; the coating layer is arranged on the surface of the photovoltaic glass sheet; the protective layer is arranged on the surface of the coating layer; the coating layer is made of CTO, and the protective layer is made of silicon dioxide. The CTO coating layer has a selective reflection design for infrared light, so that the temperature rise effect caused by infrared light absorption can be reduced, and the problems of output power reduction and temperature coefficient deterioration caused by temperature rise of the assembly are solved. CTO is used as a coating layer material and can be matched with the thermal expansion coefficient of a glass substrate, so that the influence of thermal stress is reduced; meanwhile, the silicon dioxide protective layer on the surface remarkably improves the stability of the coating layer in long-term outdoor use and reduces performance degradation by virtue of excellent weather resistance, and the performance of the photovoltaic glass is synergistically improved by combining the function of the CTO coating layer and the protective effect of the silicon dioxide protective layer.

This invention relates to the field of photovoltaic technology, disclosing a photovoltaic backsheet, its preparation method, and a photovoltaic module. The photovoltaic backsheet sequentially comprises a weather-resistant outer layer, a barrier layer, and a functional inner layer. The functional inner layer includes an acidic substance adsorption and neutralization layer (located between the barrier layer and a humidity buffer layer) and a humidity buffer layer (whose upper surface contacts the lower encapsulation film of the photovoltaic module). The acidic substance adsorption and neutralization layer comprises a matrix (low-acid-value acrylic resin with an acid value ≤ 5 mg KOH / g) and alkaline nanoparticles dispersed in the matrix. The humidity buffer layer comprises a main resin and a controllable moisture-absorbing material dispersed in the main resin. The thickness ratio of the humidity buffer layer to the acidic substance neutralization layer is 1.5-2:1. Through the synergistic effect of each layer, this photovoltaic backsheet, by passively blocking moisture, actively adsorbing and neutralizing corrosion sources, and buffering humidity fluctuations, fundamentally alleviates the power degradation of the photovoltaic module caused by damp heat aging, further extending the service life of the photovoltaic module.

The present invention discloses a method for detecting faults of base station-wrapped solar panels, which relates to the technical field of fault detection. The present invention obtains power data and environmental parameters of solar panels, adopts high-frequency sampling and sliding window filtering processing, identifies short-term power fluctuation characteristics through time series modeling, combines autoregressive and moving average characteristics, calculates the power change rate, and detects abnormal power fluctuations; in the power anomaly screening stage, based on time series analysis and comparison with historical power data, a light power mapping model is introduced, and a mapping relationship between light and power is established through regression analysis to eliminate misjudgments caused by short-term light changes; in the fault identification stage, infrared thermal imaging is combined to analyze the temperature distribution of the solar panel, calculate the temperature mean and variance, determine whether there is local overheating, and cross-compare the light data with the thermal imaging data to determine whether the power drop is caused by short-term shading or panel damage.

The present application relates to photovoltaic support sensing monitoring technical field, disclose a kind of flexible photovoltaic support sensing node power supply steady-state regulation system, in which the system executes short-time Fourier transform to each node acceleration data of support and clusters modal response subarea division, based on the dominant frequency of each subarea to piezoelectric harvester executes adaptive frequency tuning and estimates piezoelectric compensation power distribution, the propagation delay of photovoltaic micro-unit power drop event is estimated to estimate the speed vector of the propagation of the shadow, predict the arrival time of downstream node shadow, fusion double-source power is carried out net power margin evaluation, distinguish actual risk node and piezoelectric sufficient node, execute differentiated energy supply budget calculation and directional power transfer, and complete energy consumption pre-drop and energy storage pre-charge scheduling before the arrival of shadow.

This invention provides an adaptive protection method for photovoltaic (PV) collector lines based on a time-varying aging model. The steps include: establishing a full lifecycle performance degradation model for the PV power plant and generating a power degradation lookup table using a Monte Carlo model to describe the relationship between the overall performance ratio (PR) of the PV power plant and the operating year t; for any rated capacity collector line of the PV power plant, calculating the predicted maximum transmission power in year t based on the power degradation lookup table; calculating the maximum load current of the line in year t based on the predicted maximum transmission power and the rated voltage of the collector line, and determining the minimum fault current; setting an adaptive adjustment rule for the protection setting based on the minimum fault current; and adjusting the protection setting based on the adaptive adjustment rule when the triggering condition is met, and sending the adjusted protection setting to the collector line protection device of the PV power plant, thereby improving the reliability and adaptability of the PV power generation system collector line protection throughout its entire lifecycle.

This invention relates to the field of pattern recognition technology, specifically to a method and system for detecting the shading state of a photovoltaic array. The method includes the following steps: determining output compression caused by the shift of the maximum power point; constructing a perturbation distribution through voltage sorting deviation; identifying branches of abrupt changes in power difference trends; extracting abnormal power decrease points to establish shading evolution monitoring; and combining temperature rise and power trends to determine response consistency and state verification. In this invention, by constructing a compression degree characterization, combining voltage output sequence perturbation analysis and power difference trend identification, a continuous evolution process expression mechanism for shading signals is established in the physical deployment dimension. Furthermore, by combining the directional matching relationship between temperature and power changes, multi-dimensional perception and cross-verification of the shading state are achieved, improving the local identification and dynamic monitoring capabilities of the shading-affected area, avoiding judgment interference caused by environmental fluctuations and non-shading anomalies, and enhancing stability and robustness under complex operating conditions.

All channels (both in-band channels and sideband channels) between the controller and the storage device are continuously tracked, thereby avoiding the initiation of interface errors caused by a power drop. The tracking will include extracting the correlation indications and using a predictive model that associates the tracked indications with later occurrences of power drop events. In response to the prediction results, the system may perform different recovery operations (countermeasures). The controller will monitor different indications from the storage element and the power supply to predict signal integrity degradation marginal events on the interface. Monitoring and mitigating policy dependence on an open system. The controller does not employ a real-time continuous return channel from the storage device, which may signal pass / fail conditions. Given the nature of the open system and the calibration tolerances for the data collection, processing and inference system, the controller will also have to handle right and false recognition events.

The invention discloses a photovoltaic system multichannel anomaly detection method and system based on a sliding window mechanism, and the method comprises the steps: generating a training set through a sliding window based on preprocessed historical data, inputting the training set into a multilayer feedforward neural network model and a deep learning model based on a self-attention mechanism for training, the latest data of the photovoltaic system is input into the trained multilayer feedforward neural network model and the trained deep learning model based on the self-attention mechanism for anomaly detection, so that rolling update and state synchronization of training samples can be realized, and the adaptability of the model to slow-varying characteristics such as seasonal change and power degradation is improved; moreover, the fitting advantage of the multi-layer feedforward neural network model in short-time modeling and the performance of the deep learning model based on the self-attention mechanism in long-term dependence modeling are fused, and the local fluctuation and long-term trend change in the operation of the photovoltaic system can be captured at the same time, thereby improving the real-time performance and precision of the anomaly detection of the photovoltaic system.

The invention discloses a base station package type solar panel fault detection method, and relates to the technical field of fault detection, and the method comprises the steps: obtaining the power data and environmental parameters of a solar panel, employing high-frequency sampling and sliding window filtering processing, carrying out the modeling through a time sequence, combining the characteristics of autoregression and moving average, recognizing the short-time power fluctuation characteristics, and carrying out the fault detection of the solar panel. Calculating a power change rate, and detecting abnormal power fluctuation; the method comprises the following steps: a power abnormity screening stage: comparing with historical power data based on time sequence analysis, introducing an illumination power mapping model, establishing a mapping relation between illumination and power through regression analysis, and eliminating misjudgment caused by short-time illumination change, and a fault identification stage: analyzing temperature distribution of a solar panel in combination with infrared thermal imaging, and calculating a temperature mean value and a variance, judging whether a local overheating phenomenon exists, and judging whether power reduction is caused by short-time shielding or panel damage through cross comparison of illumination data and thermal imaging data.

The application discloses a network-constructed energy storage transient stability optimization control method and system considering reactive power degradation, and belongs to the field of power system transient stability control. The method constructs a network-constructed energy storage grid-connected system model, analyzes the reactive power degradation effect caused by the dynamic of the reactive power control loop, and establishes an active loop optimization control equation accordingly. On this basis, an adaptive torque adjustment module is embedded in the active control module, when the internal voltage of the inverter is monitored to be reduced to 50% of the rated value, the reference torque is automatically dynamically corrected to improve the power angle transient stability margin of the system. The simulation results show that the method can effectively suppress the power angle instability of the network-constructed energy storage, significantly enhance the transient stability of the system, and guarantee the safe and reliable operation of the power grid.

This application relates to a testing method and apparatus for solar modules, belonging to the field of photovoltaic technology. The testing method utilizes the synergistic effect of ultraviolet light and test current on the module under test (DUT) to induce and accelerate the diffusion of easily migratable metal elements, resulting in electrical performance and material degradation. By measuring the power degradation rate of the DUT, the correlation between the migration of easily migratable metal elements and the risk of power degradation is quantitatively analyzed. This provides experimental data support for material selection, process optimization, and product life prediction of the DUT, and is crucial for evaluating the reliability of modules using multiple metal materials. The testing method of this application fills the gap in existing testing systems where electrical participation is insufficient. It can simulate the working state of the DUT under years of outdoor aging, detecting potential long-term reliability problems of the DUT in a short time, greatly improving testing efficiency.

This invention relates to the field of photovoltaic technology, and discloses a photon gap enhancement film, its preparation method, and a photovoltaic module. The photon gap enhancement film sequentially comprises a first weather-resistant transparent coating, an upper protective layer, a microprism structure layer, a lower substrate layer, and a second weather-resistant transparent coating. The microprism structure layer includes a plurality of periodically arranged right-angled triangular prism units, the first right-angled face of which is attached to the lower surface of the upper protective layer. The weather-resistant transparent coatings used in the first and second weather-resistant transparent coatings both include a weather-resistant resin matrix and functional fillers (including first and second functional fillers). The first functional filler is an optical conditioning filler comprising 3-8 wt% of the mass of the weather-resistant resin matrix; the second functional filler is an acetic acid absorbing filler comprising 2-5 wt% of the mass of the weather-resistant resin matrix. This photon gap enhancement film efficiently utilizes light from the gap region between solar cells to achieve power gain and effectively reduces power degradation due to damp heat aging of the module, improving its long-term reliability.

This application provides a power converter and a control method thereof, and an energy storage system. The power converter includes a plurality of power conversion circuits connected in parallel, and in response to a decrease in total output power of output ends of the plurality of power conversion circuits, at least one of the plurality of power conversion circuits may be switched from an operating state to a stopped state, so that conversion efficiency of each power conversion circuit in the operating state is improved, to improve operating efficiency of the power converter, especially efficiency of the power converter under light load.

Provided in the present disclosure are a grid-exported power assessment method and apparatus, and an electronic device and a storage medium. The method comprises: on the basis of site environment data, site meteorological data and project design data of a photovoltaic power station, calculating the average system efficiency of the photovoltaic power station; analyzing the site meteorological data, so as to determine the peak sunshine duration of the photovoltaic power station; analyzing the project design data to determine the power degradation of the photovoltaic power station, and using the power degradation to calculate the peak generation power of the photovoltaic power station; and on the basis of the average system efficiency, the peak sunshine duration and the peak generation power, calculating the power generation capacity of the photovoltaic power station within a preset period of time. Compared with the prior art, in the embodiments of the present disclosure, site environment data, site meteorological data and project design data are taken into comprehensive consideration, such that the actual operation situation of a photovoltaic power station can be reflected more comprehensively; and on the basis of the calculation results, the power generation capacity of the photovoltaic power station within a preset period of time can be accurately estimated, thereby providing an important basis for predicting the income of the power station and assessing the economic benefit of the power station.

This invention discloses a black busbar for photovoltaic modules, its preparation method, and a photovoltaic module, belonging to the field of photovoltaic module technology, to solve the problem of rapid output power degradation in photovoltaic modules using existing black busbars. The black busbar for photovoltaic modules of this invention comprises, in sequence: a tin layer, a copper base layer, a first metal layer, and a black resin layer, wherein the melting point of the first metal layer is higher than that of the tin layer. The photovoltaic module of this invention includes the above-described black busbar for photovoltaic modules. The output power degradation of photovoltaic modules using the black busbar of this invention is reduced.

This invention relates to the field of photovoltaic module monitoring technology, and discloses a method, device, equipment, and medium for monitoring reusable photovoltaic modules in freeze-thaw regions. The method provided by this invention optimizes the parameters of the low-temperature degradation prediction model for each photovoltaic module based on the freeze-thaw cycle monitoring data, effectively improving the accuracy and relevance of the power degradation prediction results for each reusable photovoltaic module. Simultaneously, it combines the power degradation prediction results within a preset time period with a graded early warning threshold to output the monitoring results, enabling early identification of performance degradation risks in reusable photovoltaic modules based on predicted performance change trends. This allows for early prediction and proactive early warning of performance degradation in reusable photovoltaic modules in freeze-thaw regions, significantly shortening operation and maintenance response time and reducing the problem of accelerated defect development, significant power degradation, or even failure of reusable photovoltaic modules due to delayed operation and maintenance intervention strategies.

The invention relates to the field of photovoltaic power generation, in particular to a photovoltaic module power attenuation prediction and evaluation method and system, electronic equipment and a storage medium, and the method comprises the steps: building a power attenuation rate model based on the historical period operation data of a photovoltaic module, and determining a coupling relation between the power attenuation rate model and an environmental factor; solving a weight prediction value of the model at the next moment; determining a coupling relationship between the models of the photovoltaic module based on the coupling relationship between the models and the environmental factors and the weight prediction value of the model at the next moment; and generating an attenuation curve based on the coupling relationship between the models and the historical period operation data, and evaluating the full-period power attenuation trend of the photovoltaic module. Therefore, the influence of internal and external factors on the photovoltaic module is comprehensively considered, the coupling relation between the power attenuation models and the environmental factors and the coupling relation between the power attenuation models are determined, prediction optimization of the power attenuation dynamic weight of the photovoltaic module is achieved, and the power attenuation trend of the photovoltaic module is accurately evaluated.

The invention provides an SLD light source displacement damage evaluation method and system and electronic equipment, and relates to the technical field of semiconductor device detection, and the method comprises the steps: obtaining the change data of the optical power of an SLD light source along with the actual measurement fluence, and determining the optical power degradation ratio according to the change data; determining an average non-ionization energy loss value of the particles in a chip sensitive area of the SLD light source according to the energy and the type of each particle, and converting the actually measured fluence into a displacement equivalent fluence according to the average non-ionization energy loss value; converting the optical power degradation ratio into a normalized degradation amount to obtain a corresponding relation between the normalized degradation amount and a displacement equivalent fluence; performing linear fitting according to the corresponding relation to obtain a displacement damage factor; and according to the displacement damage factor, determining an optical power residual ratio of the SLD light source after in-orbit operation, and obtaining a displacement damage evaluation result. The precision of SLD light source displacement damage evaluation is remarkably improved.

The invention provides a photovoltaic module power attenuation prediction method considering various environmental stress coupling, and relates to the technical field of new energy power generation and power systems. The method comprises the following steps: acquiring environmental stress data and photovoltaic module performance data on a photovoltaic power station site; key performance indexes are calculated according to the performance data of the photovoltaic module; constructing an input feature vector and an output feature vector according to a predetermined sample structure; constructing a feedforward neural network, taking the input feature vector as the input of the network, taking the output feature vector as the output of the network, and performing training iteration to obtain a power attenuation prediction model; and completing power attenuation prediction of the photovoltaic module in the future year by using the power attenuation prediction model. According to the method, the cumulative attenuation rate serves as input, the nonlinear characteristics of'fast initial stage and slow later stage or sudden change 'of the attenuation process can be described in a self-adaptive mode, and prediction better conforms to the physical law.

The invention discloses a power control method and system of a photovoltaic power station, and belongs to the technical field of photovoltaic power generation. The method comprises the following steps: acquiring an active power set value Pset of a power grid and actual output power Pactual of a power station in real time, and calculating a power deviation delta P and a power margin Pmargin; dynamically selecting a control mode based on the comparison of delta P and Pmargin with a preset threshold: when the power needs to be rapidly and greatly reduced, entering a rapid power reduction mode, and preferentially switching out the inverter with the lowest operation efficiency; when power fine tuning is needed, a power accurate tracking mode is entered, a PI controller is used for generating an adjusting instruction and distributing the adjusting instruction to each inverter, and accurate closed-loop control is realized by adjusting MPPT working points of the inverters. Through cooperation and seamless switching of the two modes, the problem that in the prior art, power control response speed, stability and control precision are difficult to consider at the same time is effectively solved, rapid, stable and high-precision response to a power grid dispatching instruction is achieved, and power generation loss is reduced.