16122results about "Photovoltaics" patented technology

Systems, methods, and articles for a portable power case are disclosed. The portable power case is comprised of at least one battery and at least one PCB. The portable power case has at least two access ports and at least one USB port. The portable power case is operable to supply power to an amplifier, a radio, a wearable battery, a mobile phone, and a tablet. The portable power case is operable to be charged using solar panels, vehicle batteries, AC adapters, non-rechargeable batteries, and generators. The portable power case provides for modularity that allows the user to disassemble and selectively remove the batteries installed within the portable power case housing.

The present invention relates to the field of fault diagnosis technology, specifically to a fault diagnosis method and system for a photovoltaic inverter, comprising the following steps: based on an operating status data set, analyzing a variety of inverter operating data, identifying the volatility of a variety of operating data, extracting statistical features and frequency domain features of the data, adjusting the detection threshold of abnormal data, and generating abnormal fluctuation detection parameters. In the present invention, the abnormal detection threshold is dynamically adjusted by analyzing the operating data, a more sensitive response is made to the data, the accuracy and response speed of the fault warning are improved, the time window segmentation and signal feature extraction are used to timely discover abnormal fluctuations, detect equipment damage or system failures, and the accuracy of fault type identification is improved by combining the comparison and analysis of data features. By analyzing the component types associated with various fault types, the efficiency and accuracy of locating faulty components are improved, and the reliability and economic benefits of the photovoltaic inverter are enhanced.

The present invention relates to the technical field of photovoltaic modules, and provides a photovoltaic module with an automatic cleaning system. The photovoltaic module comprises a brushing mechanism and a liquid supply mechanism, wherein the brushing mechanism is arranged on a photovoltaic module mounting frame, and the liquid supply mechanism is arranged on one side of the photovoltaic module mounting frame. In the present invention, the brushing mechanism cleans a solar panel while moving across the photovoltaic module mounting frame, the liquid supply mechanism flushes a surface of the solar panel to remove debris such as dust and dirt covering the surface of the solar panel, thereby ensuring a sunlight receiving effect of the solar panel, and stabilizing the power generation capacity of a power generation assembly.

The invention provides a multifunctional integrated cleaning robot for a photovoltaic module of a power station, which belongs to the technical field of photovoltaic module cleaning and comprises a control chip, a robot body device, an automatic cleaning device, a dust collection device, a water spraying system device, a solar charging device, an intelligent navigation device, an environment monitoring device, a communication interface device and a power management device. An intelligent cleaning control module is arranged in the control chip. The method comprises the following steps: constructing a three-dimensional map through environment perception; evaluating the pollution state of the photovoltaic module by using a sensor to generate a thermodynamic diagram; a double-layer optimization model is adopted for path planning and resource allocation, an upper layer adopts an improved ant colony algorithm to take charge of a global path, and a lower layer optimizes cleaning parameters based on a particle swarm algorithm; cleaning operation is executed, and real-time monitoring is carried out; evaluating the cleaning effect; water resource and energy intelligent management is carried out; multi-machine collaboration and task allocation are realized; processing an abnormal condition; the cleaning strategy is continuously optimized through machine learning, and efficient and accurate photovoltaic module cleaning is achieved.

The invention relates to the technical field of power electronics, in particular to a photovoltaic off-grid inverter control method and system, and the method comprises the following steps: applying a test signal to identify an output interaction characteristic parameter, predicting the power generation power through combining with weather and attenuation, calculating the power fluctuation, and adjusting a current control parameter set. And calculating voltage and reactive power compensation parameters to generate an inverter control instruction, and combining a temperature load prediction trend to adjust a power allowable value to obtain a predictive power calibration coefficient. According to the invention, by analyzing the output interaction characteristics, enhancing the perception capability of the inverter to the actual operation environment, combining with the prediction of the photovoltaic power generation amount, realizing the prediction and influence evaluation of the power fluctuation, improving the adaptive adjustment capability of the current control parameters, improving the output voltage and reactive power control precision by utilizing the interaction characteristics, and optimizing the electric energy quality; and through thermal management of multi-point temperature and load prediction, the operation safety is improved, the service life of equipment is prolonged, and the operation performance of the photovoltaic off-grid system in a complex environment is improved.

The invention discloses a solar photovoltaic panel cleaning method and device based on a multi-mode cleaning technology, which can plan a traversal path according to parameters of a photovoltaic panel, primarily remove dust by using a wind blowing and ultrasonic vibration form, plan an energy-saving cleaning path for still existing cleaning points, and improve the cleaning efficiency of the photovoltaic panel. And secondary cleaning is conducted along the cleaning path, dust is adsorbed and cleaned through an electric field generated by the electrode plate, meanwhile, the output parameter set is trained and optimized through a trained deep learning model through input parameters extracted in real time, optimal cleaning parameters are obtained, and intelligent cleaning is achieved.

The invention relates to the related technical field of clean energy system optimization, and discloses a space-time Transform-based photovoltaic array shadow shielding optimization method and system, and a space-time Transform-based shielding modeling method, which can capture time change and space correlation at the same time, improve the prediction capability of short-time dynamic shielding (such as cloud layer change), and improve the prediction efficiency. The occlusion prediction is more real-time and accurate; by combining solar radiation prediction and power loss quantification methods, the influence of different shielding conditions on the power generation capacity of the photovoltaic module can be accurately calculated, and data support is provided for system optimization; meanwhile, through an intelligent optimization scheduling strategy, the working mode of the photovoltaic module is adaptively adjusted, including module angle optimization, MPPT dynamic adjustment and energy storage optimization scheduling, it is ensured that the photovoltaic system can still maintain efficient power generation in a complex illumination environment, and the long-term stability and benefits of the system are further improved.

The invention provides a full-coverage cleaning modular control method and system for a photovoltaic cleaning robot. According to the method, a photovoltaic panel three-dimensional terrain model is constructed by collecting laser ranging, photovoltaic panel surface temperature distribution, environment airflow and position relation data; and generating an obstacle distribution map based on the model, and dynamically analyzing gap width and attachment height parameters of the cleaning area. Therefore, the bending angle and the telescopic amplitude of a connecting part of the cleaning module are adjusted in real time, and robot pose information is synchronously updated. And in combination with the position data, the obstacle map and the pose of the whole robot, an uncleaned area identifier and a dynamic coverage path are generated, and information is shared through a wireless network. The system dynamically distributes working areas and advancing directions of the multiple robots, and efficient cooperative full-coverage cleaning of the photovoltaic array is achieved. According to the technical scheme provided by the invention, through multi-source environment perception and dynamic pose adjustment, intelligent path cooperation and full-coverage operation of multiple cleaning robots are realized.

A mounting system for use with standing seams has a first side member with a mounting interface, a first foot, and a first aperture. A second side member of the mounting system has a first spacing arm, a second spacing arm, a second foot and a second aperture. The system may include a fastener extendable through the first aperture and the second aperture to secure the first side member to the second side member. One or more of the first spacing arm and the second spacing arm contact an interior surface of the first side member to ensure at least a minimum spacing between the first foot and the second foot when the first and second side members are secured together by the fastener.

The invention relates to the technical field of energy scheduling, in particular to an intelligent power utilization system based on an optical storage direct flexible technology. The photovoltaic power generation unit is used for collecting solar energy by installing a solar photovoltaic panel and converting the solar energy into electric energy; the energy storage unit is used for storing excess electric energy, and when the electric energy generated by the photovoltaic power generation unit is insufficient or has no energy, the electric energy of the storage unit is used for supplying power; the power utilization management unit is used for monitoring and managing distribution of direct current in the photovoltaic power generation unit and then dynamically adjusting the direct current according to actual requirements; according to the system, factors such as temperature, seasons and system loss are comprehensively considered, so that the actual power generation capacity of the photovoltaic system can be more comprehensively reflected, and the prediction precision and reliability of the system are improved; through real-time data acquisition and processing, the system can predict future electric energy supply and demand conditions in advance, so that the overall operation efficiency and stability of the system are improved.

The photovoltaic module comprises a plurality of battery strings, each battery string comprises a plurality of multi-fragmented battery pieces which are connected in series, and bus bars are arranged at the two ends of each battery string so as to connect the battery strings. The bus bars comprise a first bus bar, a second bus bar and a third bus bar, the first bus bar, the second bus bar and the third bus bar are arranged at intervals in the first direction, the opposite ends of the first bus bar and the second bus bar are first leading-out ends, and the opposite ends of the second bus bar and the third bus bar are second leading-out ends. The photovoltaic module further comprises a first jumper wire which is overlapped with the second bus bar. A first bending part is arranged at one end, close to the second bus bar, of the first bus bar, and a first lead-out piece is arranged on one side, away from the second bus bar, of the first jumper wire, so that the distance between the first lead-out piece and the first bending part is conveniently adjusted, and the possibility of short circuit caused by mistaken touch between the first lead-out piece and the first bending part is reduced; and the safety of the photovoltaic module is improved.

The embodiments described herein involve electrochemical cells that have a heating element integrated into the electrochemical cell. In some aspects, an electrochemical cell comprises an anode current collector, an anode material disposed on the anode current collector, a cathode current collector, a cathode material disposed on a first side of the cathode current collector, a separator disposed between the anode material and the cathode material, and a heating element disposed on a second side of the cathode current collector, the second side opposite the first side. The heating element may include an electrically conductive material and a conductive material and disposed in an insulative material.

A junction box can include a housing with a bottom surface and sidewalls extending upward from a periphery of the bottom surface. In certain implementations, the sidewalls include a mounting sidewall to mount to a solar array rail structure. In addition, the junction box can include a lid positionable on the housing. Further, the junction box can include a mounting bracket. In some examples, the mounting bracket can include a first bracket connected to the mounting sidewall, the first bracket wall extending perpendicular to the mounting sidewall. Additionally, the mounting bracket can include a second bracket wall connected to the first bracket wall, the second bracket wall extending parallel to the mounting sidewall.

The invention discloses a multispectral pollution analysis method and system for a photovoltaic cleaning unmanned aerial vehicle, and belongs to the technical field of spectrum detection.The multispectral pollution analysis method comprises the steps that a multispectral image is obtained, dark current-radiation-atmosphere-shadow full-link preprocessing is carried out, multiband weighted threshold segmentation and morphological post-processing are constructed, and a pollution area is extracted; establishing a self-learning pollution spectral feature library, and identifying pollution types by using cosine similarity; generating a pollution degree distribution diagram in combination with the pollution type-efficiency attenuation mapping table; and when the overall efficiency loss exceeds a preset value, planning a three-dimensional track based on a cluster priority score and an ant colony-genetic fusion algorithm, and returning an image to perform closed-loop verification and complementary cleaning after the unmanned aerial vehicle performs cleaning. According to the invention, the pollution identification precision, the efficiency evaluation accuracy and the cleaning intelligence level are significantly improved, and the method can be widely applied to unattended operation and maintenance of the photovoltaic power station.

There is provided an apparatus for an enclosure of a direct current connection of a photovoltaic solar panel, the apparatus comprising: a housing comprising at least two parts that, when joined together, form a chamber for surrounding mating direct current connectors with an air gap, the housing comprising at least one support structure for positioning the direct current connectors in a central part of the chamber.

The invention relates to the technical field of photovoltaic cleaning control, and discloses a spraying cleaning control method of a photovoltaic cleaning unmanned aerial vehicle. The method comprises the following steps: receiving photovoltaic panel surface state data and environmental parameters, comparing dirt grade standards to obtain dirt distribution characteristics and stubborn stain positions, and determining initial spraying parameters through a self-adaptive control algorithm in combination with the environmental parameters; after the spraying executing mechanism is driven to conduct preliminary cleaning, an image collecting device is used for obtaining surface image data, and a deviation value is calculated by comparing a cleanliness threshold value; and in combination with flight attitude data of the unmanned aerial vehicle, a fuzzy decision system is adopted to dynamically adjust initial spraying parameters to generate a real-time control instruction, an execution mechanism is controlled to perform fine cleaning until surface image data accords with a cleanliness threshold, and a final scheme is generated. According to the method, through real-time feedback and dynamic adjustment, spraying parameters are made to adapt to different dirt states and environment conditions, targeted cleaning is achieved, and the intelligence and accuracy of photovoltaic panel cleaning are improved.

The invention discloses a variable-frequency ash removal device for improving photovoltaic power generation efficiency, and a control system of the variable-frequency ash removal device can dynamically adjust the output frequency and amplitude of a signal generator according to cleaning requirements. Particularly, when different types of dust are cleaned, the system can automatically adjust the vibration frequency, so that the cleaning process is more accurate. Large-particle dust is effectively removed through low-frequency and large-amplitude vibration, and small-particle dust is finely cleaned through high-frequency micro-vibration. The dynamic adjustment of the frequency and the amplitude ensures that each dust type can be thoroughly removed, and the problem of poor effect caused by fixed frequency in a traditional cleaning method is avoided.

A washer clip device includes a first clip arm, a second clip arm, at least one grounding element at the first clip arm and / or the second clip arm, and a fastening aperture extending through the first clip arm. The first and second clip arms are joined together at a first end of the washer clip device to define a first internal clip area adjacent the first end, and the first and second clip arms are spaced apart from one another at a second end of the washer clip device to define a receiving gap between the first and second clip arms and adjacent to the second end. This washer clip device is movable between a coupling configuration and a receiving configuration, with the receiving gap being larger when in the receiving configuration than when in the coupling configuration.

A wire clamp may include a bottom piece having: a first base portion defining a first aperture, an at least partially elliptical barrier extending from the first base portion about the first aperture, and a plurality of legs extending from sides of the first base portion; a top piece having: a second base portion, a protrusion extending from the second base portion, the protrusion defining a second aperture, and a plurality of legs extending from sides of the second base portion; and a fastener. The first aperture and the second aperture may be configured to align and receive the fastener therethrough. A first side of the partially elliptical barrier and a first portion of the plurality of legs may define a first wire channel, and a second side of the partially elliptical barrier and a second portion of the plurality of legs may define a second wire channel.

A twist-lock clamp to attach a solar module to a rail system includes a spring between a top clamp and a t-nut, with features on the spring and top clamp to restrict rotation relative to each other. The t-nut includes features allowing rotation of about 90 degrees when the t-nut is inserted in a rail, but restrict rotation beyond about 90 degrees. The spring serves to hold the top clamp and t-nut apart while allowing the twist-lock clamp to resist sliding in the rail during installation.

The invention relates to a cleaning operation and maintenance method, device and equipment of a photovoltaic module and a readable storage medium. The method comprises the following steps: acquiring a visible light image and an infrared image of a photovoltaic module, and acquiring working voltages and working currents of the photovoltaic module at a plurality of time points in a preset time period; constructing a current-voltage curve based on the working voltage and the working current, and determining a slope difference of the plurality of time points according to the current-voltage curve and a reference curve; identifying a dust accumulation area in the visible light image, and determining a dust shielding index based on the dust accumulation area; identifying a high-temperature area in the infrared image, and determining a hot spot index based on the high-temperature area; and determining a start-stop strategy of the photovoltaic cleaning robot according to the slope difference, the shielding index and the hot spot index of the multiple time points, and controlling the photovoltaic cleaning robot to clean the photovoltaic module according to the start-stop strategy. By adopting the method, the photovoltaic cleaning operation and maintenance efficiency can be improved.

The invention discloses a morning orbit computing power satellite, and belongs to the field of aerospace technology and space infrastructure. The satellite comprises a satellite platform and a computing force load arranged on the satellite platform. The satellite platform is provided with a condensation type energy system and a space pump drive fluid loop system. The condensation type energy system adopts an expandable condensation type solar cell array to generate power, switches a power supply mode according to an illumination period and an earth shadow period of a morning and night orbit, and supplies power to computing force loads and platform equipment. The space pump drive fluid loop system adopts an expandable flexible radiation cooling plate for heat dissipation, heat dissipation is conducted on computing force loads through a fluid loop, and a heating assembly is arranged to prevent a working medium from being frozen under the low-temperature working condition. Through the expandable structure and the orbit environment adaptability design, continuous energy supply and effective heat management are provided for the computing power load in the morning and night orbit environment, and high-power-consumption computing power load in-orbit stable operation is supported.

The invention relates to the technical field of fault detection, in particular to an intelligent photovoltaic junction box testing method and system, and the method specifically comprises the steps: constructing a voltage and current dissimilarity index based on the data changes of the current and voltage of an intelligent photovoltaic junction box at adjacent moments, and constructing an electrical parameter abnormal coefficient through combining the correlation between the voltage and the environment temperature; based on the correlation between the internal temperature of the photovoltaic junction box and the time sequence of other parameters, the fault confidence coefficient of the photovoltaic junction box is constructed in combination with the electrical parameter abnormal coefficient; according to the method and the device, the anomaly detection of the photovoltaic junction box is carried out based on the fault confidence coefficient, the influence of environmental factors on related data of the photovoltaic junction box is reduced, the problem that when temperature threshold detection is carried out in an existing photovoltaic junction box detection technology, threshold setting is unreasonable, and false detection is easily caused is solved, the detection precision of the photovoltaic junction box is improved, and false detection is avoided.

The invention discloses a photovoltaic inverter topology circuit and a control method thereof. The photovoltaic inverter topology circuit comprises a plurality of operational amplifiers, a plurality of MOS tubes, a plurality of resistors, a plurality of connectors, a plurality of capacitors and a plurality of diodes, the in-phase end of an operational amplifier U1 in the operational amplifiers is connected with one end of a resistor R2, the source electrode of an MOS tube Q2, the anti-phase end of the operational amplifier U1 in the operational amplifiers is connected with one end of a resistor R3, the source electrode of an MOS tube Q1, and the output end of the operational amplifier U1 in the operational amplifiers is connected with the other end of the resistor R3; the in-phase end of the operational amplifier U5 is connected with the cathode of the diode D4, the anti-phase end is connected with the in-phase end of the operational amplifier U6, the cathode of the diode D2 and one end of the capacitor C1, and the output end is connected with the anode of the diode D2; the inverting end of the operational amplifier U6 is connected with the output end and one end of the resistor R1; the grid electrode of the MOS tube Q1 is connected with the grid electrode of the MOS tube Q2, and the drain electrode is connected with one end of the resistor R4 The drain electrode of the MOS tube Q2 is connected with the other end of the resistor R1; the anode of the diode D4 is connected with the P1 end of the connector; the other end of the resistor R4 is connected with the P2 end of the connector; the other end of the capacitor C1 and the other end of the resistor R2 are grounded.

The invention provides a photovoltaic power station cleaning robot path planning method, medium and system, and belongs to the technical field of photovoltaic power station operation and maintaining.The photovoltaic power station cleaning robot path planning method includes the steps that firstly, a photovoltaic panel grid division model is established, and stain distribution information is obtained through the image processing technology to construct a stain distribution matrix; secondly, calculating a cleaning water demand matrix based on stain distribution, and meanwhile, considering an influence relationship among vertical column grid units; determining the cleaning duration by combining the efficiency of the cleaning device; constructing a robot energy consumption model; calculating an optimal cleaning path by applying a resource optimization distribution function; integrating the environmental parameters and inputting the environmental parameters into a photovoltaic cleaning neural network model to predict the actual cleaning difficulty; a cleaning strategy is dynamically adjusted accordingly; and executing the final path and recording data to update the related model. According to the method, through real-time sensing and analysis of the stain distribution characteristics, intelligence of path planning of the cleaning robot is realized, and the technical problem that the cleaning robot cannot perform intelligent path planning according to the surface stain distribution characteristics of the photovoltaic panel is solved.

The invention discloses a hybrid hydrogen production system coupled with photovoltaic renewable energy and an optimal configuration method, and relates to the technical field of new energy utilization and energy storage control, and the hybrid hydrogen production system comprises a photovoltaic power generation unit, an alkaline water electrolytic tank unit, a proton exchange membrane electrolytic tank unit, a hydrogen storage unit, a control unit and the like. Photovoltaic electric energy is directly supplied to the two types of electrolytic cell stacks through the direct current bus, a traditional DC-DC power converter is omitted, and loss in the energy transmission process is reduced; and through a dynamic electrolytic cell switching algorithm configured by the control unit, the input proportion and the number of operation units of the two stacks are changed and adjusted in real time, and the quick response capability and the long-term stability are both considered. The system can stably produce hydrogen under the condition of renewable energy fluctuation, can dynamically adapt to input power change, can realize maximum power point tracking control on the premise of not using extra power conversion equipment, and remarkably reduces initial investment cost and operation energy consumption while ensuring hydrogen production efficiency.

The invention relates to an intelligent photovoltaic cleaning method for air-ground cooperation of an unmanned aerial vehicle and a cleaning robot, and belongs to the technical field of photovoltaic cleaning. The method comprises the steps that the real-time pose of the unmanned aerial vehicle is determined in a visual positioning and laser positioning fusion mode; establishing a wind speed estimation model by taking the wind speed as a predictable state quantity; solving an optimal control sequence of the unmanned aerial vehicle in a prediction time domain based on a wind speed estimation model so as to compensate wind disturbance in advance; the track of the unmanned aerial vehicle is corrected to achieve accurate butt joint of the unmanned aerial vehicle and the cleaning robot; and an intelligent decision-making method is used for realizing the timely transfer of the cleaning robot by the unmanned aerial vehicle and the cleaning work of the photovoltaic panel of the cleaning robot. Through centralized control of the central platform, a single unmanned aerial vehicle assists multiple cleaning robots, dynamic task allocation and path planning are achieved, and the problems that desert photovoltaic cleaning efficiency is low and the coverage range is limited are solved.

The invention discloses a protection circuit, a control method and a photovoltaic system, and belongs to the technical field of power electronics. The invention provides a protection circuit which is applied to a three-phase inverter circuit, the direct current side of the three-phase inverter circuit is used for being connected with a power supply assembly, the output end of each phase is provided with a relay assembly, and the protection circuit comprises a controllable power device which is connected with a bridge arm in the three-phase inverter circuit in parallel; the fault detection module is electrically connected with the three-phase inverter circuit and is used for generating a fault signal when the fault of short circuit to ground is detected; the current detection circuit is used for detecting the output current of each phase of the three-phase inverter circuit; and the controller is electrically connected with the fault detection module, the current detection circuit and the relay, controls the controllable power device to be switched on after receiving a fault signal, and disconnects the relay assembly of each phase when the output current of each phase meets a zero-crossing condition, so that the relay assembly can be ensured to be switched off safely, and a loop of short-circuit current can be cut off. And the short-circuit current is prevented from damaging components in the circuit.

Provided herein are various enhancements for solar panels and photovoltaic array assemblies. In one example, a system includes solar panel assemblies each comprising a frame defining a mounting area formed from modular segments having receiving features configured to accept spline elements that mount a perimeter of a flexible photovoltaic panel into the mounting area and apply a radial tension to the flexible photovoltaic panel. A stowage mechanism is configured to hold the solar panel assemblies in a stacked configuration and comprising a rod assembly disposed through apertures in the frames of each of the solar panel assemblies. A deployment mechanism is configured to deploy the solar panel assemblies from the stacked configuration into a deployed configuration and comprising self-opening hinges attached between selected pairs of the frames.

The invention provides an environment-considered photovoltaic panel cleaning scheme determination method, and belongs to the technical field of photovoltaic panel cleaning.The method comprises the steps that firstly, real-time weather data and prediction data are obtained, and an environment stain correlation model is established; a multispectral camera is adopted to identify the types of stains on the surface of the photovoltaic panel and calculate a distribution map; calculating a cleaning index by combining the generating capacity data and the solar irradiation intensity, and determining a cleaning priority; a weather adaptability scoring system is constructed, and a robot operation environment threshold value is set; dividing power generation time periods according to the sunlight intensity and calculating an optimal cleaning time window; cleaning schemes are matched according to different stain types, and parameters are adjusted according to environmental conditions; calling a stain cleaning efficiency optimization function to carry out multi-objective optimization; and finally, generating an optimal cleaning path and parameter configuration by utilizing the photovoltaic cleaning planning network model. The technical problem that a photovoltaic panel cleaning scheme cannot be adaptively optimized according to complex and changeable environmental factors is solved.