607 results about "Maximum power point tracking" patented technology

The invention provides a device and a method for extracting water from air operated under all working conditions. The device comprises a solar power supply unit, a salt-carrying hydrogel adsorption-desorption unit, an electric heating desorption unit, a water vapor condensation and collection unit and a PID control unit. The solar power supply system comprises a solar photovoltaic panel, an MPPT (maximum power point tracking) type photovoltaic inverter and a storage battery, the salt-carrying hydrogel adsorption-desorption unit comprises hydrophilic porous hydrogel and a LiCl / CaCl2 composite adsorption material, and the electric heating desorption unit comprises a copper heat-conducting plate loaded with the adsorption material and an electric heating sheet. The water vapor condensation and collection unit is composed of four finned radiators and two semiconductor chilling plates. The PID control unit is composed of a temperature and humidity sensor and a control circuit, wherein the temperature and humidity sensor is connected to the radiators and the front side of the adsorption bed. Water vapor in the environment is enriched through an efficient salt-loaded adsorbent packed bed, desorption is driven in two modes of solar photo-thermal and electric heating, desorbed high-humidity airflow passes through a fin type cooling fin connected with a semiconductor and then is condensed into liquid water, and the process of taking water from air is completed through a collector below. According to the device, low-energy-consumption air water taking under the humidity of 15%-100% can be achieved by controlling the operation time of all the units, the device is portable and compact, the automation degree is high, and high-water-yield air water taking is achieved by using solar photo-thermal and power generation as energy input.

The invention provides an intelligent scheduling control method, system and device of an optical storage hybrid inverter, and a medium, and belongs to the technical field of new energy power systems.The method comprises the steps that a scheduling controller collects the output power of a photovoltaic battery, the electric quantity state of an energy storage battery, the power grid electricity price and the load power; generating a photovoltaic power prediction value and a load prediction value by using the prediction model; solving an optimal power distribution scheme by taking economy optimization as a target to obtain photovoltaic side target power, energy storage side target power and power grid interaction target power; the duty ratio of the photovoltaic side bidirectional DC / DC converter is adjusted according to the photovoltaic side target power to achieve maximum power point tracking of the photovoltaic cell, the duty ratio of the energy storage side bidirectional DC / DC converter is adjusted according to the energy storage side target power to achieve charging and discharging power control of the energy storage cell, and the output current of the grid-connected inverter is adjusted according to the power grid interaction target power. According to the invention, efficient and intelligent control of the optical storage hybrid inverter can be realized.

The APSO-SA-based photovoltaic system maximum power point tracking control method comprises the following steps: constructing a photovoltaic system model, and carrying out parameter and particle swarm initialization on a preset APSO-SA algorithm in MPPT control; voltage and current of the photovoltaic system model are collected in real time, the initialized APSO-SA algorithm is input for optimization iteration, and the optimal duty ratio is obtained; and adjusting the working state of the boost converter based on the optimal duty ratio, so that the photovoltaic system operates at the optimal duty ratio, and tracking of the maximum power point is realized. According to the method, the MPPT system can rapidly relocate the maximum power point when illumination suddenly changes, meanwhile, high-precision tracking is maintained in a steady state, and the energy capture efficiency of a photovoltaic system is remarkably improved.

The invention relates to an MPPT (Maximum Power Point Tracking) control method based on dynamic optimization of a lightweight convolutional neural network, and belongs to the field of artificial intelligence control power tracking. The method comprises the following steps: S0, constructing a convolution-fuzzy neural network model which at least comprises an input layer, a convolution layer, a fuzzy control layer, a deep reinforcement learning layer and an output layer; s1, key parameters of photovoltaic equipment are collected in real time to serve as input data of an input layer; s2, performing convolution operation on the input data by using a convolution layer, extracting a feature vector, and transmitting the feature vector to a fuzzy control layer; s3, combining a fuzzy control layer with a deep reinforcement learning layer, and dynamically adjusting an optimization process of a fuzzy rule through a reward signal; and S4, the fuzzy control layer generates a control signal, and the control signal is transmitted to a DC / DC converter of the photovoltaic system through the output layer. The control method is suitable for a dynamic environment of a photovoltaic power generation system, can be expanded to a grid-connected system, and provides a new thought and technical support for efficient operation of photovoltaic power generation.

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 the technical field of maximum power point tracking, in particular to a solar photovoltaic panel generation power optimization method and system, and the method comprises the following steps: obtaining a photovoltaic panel branch power sequence, constructing a direction change matrix, recognizing a same-direction change section, extracting a difference value, generating a trend labeling table, and comparing power change to screen adjustment nodes. And sending an adjustment instruction to record the difference value, and generating an optimization response table. According to the invention, through regular acquisition of voltage and current of a photovoltaic branch, construction of a power change trend matrix and extraction of power change directions of adjacent moments, trend identification and change modeling are realized, segments with persistent and significant amplitude changes are screened, accidental disturbance is eliminated, and adjustment and judgment accuracy is improved. And comparing the trend segment with a power tracking record, selecting a node with a promotion potential to send an adjustment instruction, recording response feedback, and introducing a quantization threshold and a feedback mechanism to improve the maximum power point identification precision and the power generation efficiency of the system under environmental fluctuation.

The invention provides a power generation regulation and control method for a photovoltaic power generation system. The power generation regulation and control method for the photovoltaic power generation system comprises the following steps: S1, real-time monitoring and data acquisition: (1) various sensors are deployed in the photovoltaic power generation system, and solar radiation intensity data, photovoltaic module temperature data, cell panel output voltage data, current data and inverter output data are monitored in real time through the various sensors; (2) combining external meteorological data of environment temperature, humidity and air pressure to realize all-around system state acquisition; s2, maximum power point tracking (MPPT) and optimal load adjustment: (1) when the illumination condition changes, a multi-objective optimization algorithm is adopted, so that the working mode of the inverter can be adjusted in real time; the power generation regulation and control method for the photovoltaic power generation system has the advantages that the power generation efficiency of the photovoltaic system can be effectively improved, the stability and the reliability of the photovoltaic system are enhanced, and meanwhile the operation cost is reduced.

The invention discloses a distributed optical storage system voltage regulation method and system, and relates to the technical field of voltage stability control of a photovoltaic power generation system, and the method comprises the following steps: obtaining irradiation intensity and environment temperature data needed by power generation of a distributed optical storage system; adjusting the output end voltage of the photovoltaic unit based on a disturbance control method to realize maximum power point tracking control; acquiring load power requirements and direct-current bus voltage data of the optical storage grid-connected system in the common direct-current bus mode; and setting a direct current bus voltage reference value, rapidly reducing the tracking error of the direct current bus voltage based on an LQ optimal tracking control method, and realizing rapid and stable control of the direct current bus voltage. According to the method, the power difference between the photovoltaic power generation and the electrical load can be automatically compensated quickly and accurately, the direct-current bus voltage is ensured to be accurately stabilized at a set value all the time, and the comprehensive dynamic performance is better in the adjusting process.

The invention discloses a cooperative photovoltaic power generation grid-connected control method, system and device and a medium, and relates to the field of photovoltaic power generation. The method comprises the following steps: acquiring environmental parameters and historical power generation data of each photovoltaic power station in a cluster, and predicting an optimal power generation state of each photovoltaic power station in future preset time according to the environmental parameters and the historical power generation data; determining an output power target value and a voltage target value of the target photovoltaic power station according to the optimal power generation state; adjusting a maximum power point tracking control parameter of the target photovoltaic power station according to the output power target value and the voltage target value, and controlling the target photovoltaic power station to generate power according to the maximum power point tracking control parameter; predicting the power demand in the future preset time according to the current demand of the power grid, calculating the difference between the overall generating capacity of the cluster and the power demand, and controlling the energy storage system to output or store electric energy according to the difference. By implementing the technical scheme provided by the invention, the effect of improving the photovoltaic power generation efficiency is achieved.

The invention relates to the technical field of inverter control, and discloses a micro inverter control method and system in a photovoltaic system and a storage medium. The method comprises the following steps: carrying out parameter acquisition and processing on the photovoltaic micro inverter to obtain an initial parameter set; designing a radial basis function neural network compensation uncertainty parameter based on the initial parameter set; inputting the compensation parameter set into a particle swarm optimization algorithm to optimize control parameters; and training a back propagation neural network based on the optimized parameter set to realize maximum power point tracking control. According to the method, the uncertainty of the system is compensated by introducing the radial basis function neural network, the control parameters are optimized in combination with the particle swarm optimization algorithm, and the real-time prediction and adjustment of the parameters are realized by using the back propagation neural network; the technical problems that a traditional control method is low in control precision and poor in adaptability when facing nonlinear system characteristics, environmental condition changes and parameter uncertainty are effectively solved.

The invention relates to a photovoltaic system rapid power control method considering environmental parameter estimation. The method comprises the following steps: acquiring P-V curve segmentation and local maximum power point information under a local shadow condition by using improved global maximum power point tracking based on search-jump-judgment logic; in the global maximum power point tracking process, whether a trigger signal for executing environmental parameter estimation exists or not is monitored in real time, if yes, environmental parameter estimation is executed until the trigger signal disappears, and environmental parameters of the photovoltaic system are obtained through estimation; performing multi-peak power characteristic curve fitting based on a photovoltaic equivalent circuit model based on the P-V curve segmentation and local maximum power point information and the environmental parameters of the photovoltaic system; and determining a photovoltaic working point based on a given power reference value and the multi-peak power characteristic curve to realize rapid power control of the photovoltaic system. Compared with the prior art, the method has the advantages that no additional sensor is needed, and rapid and flexible tracking of photovoltaic power can be realized.

The invention relates to the technical field of wind power plant control, in particular to a coordination control method and system for an offshore wind power plant and a storage medium. The method comprises the following steps: firstly, obtaining theoretical maximum active power according to a wind speed predicted value of each wind turbine generator, and obtaining an active power demand upper limit and a reactive power range of a wind power plant in combination with power grid dispatching data and actual output power of the wind power plant; then, obtaining a power reference value of each wind turbine generator by using a multi-objective optimization power prediction model and an improved particle swarm algorithm; in combination with the power reference value and the fan state information, a reinforcement learning algorithm is utilized to optimize group groups and power distribution in the groups, and an actual power reference value is obtained; thirdly, obtaining an actual power reference correction value by using a power compensation correction formula; and finally, controlling the active power and the reactive power of each wind turbine generator by adopting maximum power point tracking control according to the actual power reference correction value. The effectiveness of wind power plant coordination control can be improved.

Controlling a power converter circuit for a direct current (DC) power source is disclosed. The power converter may be operative to convert input power received from the DC power source to an output power and to perform maximum power point tracking of the power source. The power converter is adapted to provide the output power to a load that also performs maximum power point tracking.

The invention discloses an optical storage DC micro-grid converter cooperative control system based on a DC bus voltage signal, and belongs to the technical field of power system safety, and the system comprises a photovoltaic converter and an energy storage converter. The photovoltaic converter obtains a first duty ratio according to an input voltage, an input current, an output voltage, an output current and a DC bus voltage high-voltage threshold value, and switches to a maximum power point tracking mode or a high DC bus voltage regulation mode according to the first duty ratio; and the energy storage converter obtains a second duty ratio according to the input voltage, the input current, the output voltage, the output current and the direct-current bus voltage low-voltage threshold value, and switches to a constant-voltage charging mode, a constant-current charging mode or a low-direct-current bus voltage adjusting mode according to the second duty ratio. According to the system, buffeting and deadlock problems of multi-mode switching can be improved, and multi-mode smooth switching is realized.

The invention discloses a laser wireless energy transmission system based on a vertical tracking structure and double-stage global optimization and a control method, and belongs to the technical field of photoelectric energy conversion and intelligent control. Aiming at the technical bottlenecks of high reflection loss of a photovoltaic array and MPPT failure caused by multi-peak characteristics due to non-uniform irradiation in the existing laser wireless transmission system, the invention provides three innovations: (1) designing a two-degree-of-freedom vertical tracking type photovoltaic array, and adjusting the pitch angle and azimuth angle of a photovoltaic panel in real time through a servo motor driving holder; a silicon nitride anti-reflection coating (the refractive index is smaller than or equal to 1.8) and a laser positioning sensor are combined to construct an incident angle deviation dynamic compensation model, and the reflection loss rate is reduced to be lower than 5%; (2) putting forward a global MPPT dual-stage optimization algorithm, dividing a voltage interval based on irradiation non-uniformity in a coarse positioning stage and generating an optimal candidate solution, and adopting an improved particle swarm algorithm (introducing an inertia weight dynamic adjustment mechanism and a local extreme value escape strategy) in a fine search stage to realize that the global maximum power point tracking precision reaches 99.2% in a multi-peak scene; and (3) establishing a reflection loss-power coupling control model, and solving the problems of tracking delay and energy oscillation of a traditional system through angle adjustment of the photovoltaic panel and closed-loop feedback of MPPT (Maximum Power Point Tracking) output. Compared with the prior art, the comprehensive efficiency of the system is improved by 18.6% under the dynamic irradiation condition, and the system is suitable for space laser power supply and mobile equipment wireless charging scenes.

The invention relates to the technical field of solar photo-thermal utilization, in particular to a photovoltaic and energy storage standby power supply anti-overheating system for a solar photo-thermal system, which comprises a monitoring communication unit, a control management unit and a remote monitoring unit. In the control management unit, a central control module controls the state of a heat collector according to a multi-parameter fusion judgment algorithm and data of a monitoring communication unit, and an energy management module optimizes power supply and energy storage of a photovoltaic power supply to the heat collector by using a maximum power point tracking and dynamic power distribution algorithm. The heat regulation and control module manages the heat dissipation and heating device through self-adaption, smooth transition and intelligent start-stop algorithms, the state of the heat dissipation and heating device is monitored and evaluated by the remote monitoring unit, and the remote monitoring unit determines a strategy through a multi-target optimization algorithm according to an evaluation result and transmits an instruction to the control management unit through the monitoring communication unit to regulate equipment parameters.

The invention relates to the technical field of power optimization, and discloses a component-level power optimization method and device of a photovoltaic system. The method comprises the following steps: carrying out classification processing on working state evaluation results, and carrying out maximum power point tracking control on different types of components through a conductance increment method and a three-point comparison method to obtain optimal output power parameters of each component; carrier communication transmission is carried out on the optimal output power parameters of all the assemblies, and working state information of all the assemblies is transmitted to an integrated controller in a sequential relay mode to obtain group cascade optimization control parameters; and performing performance calculation on the group cascade stage optimization control parameters and the component working parameters, and evaluating a system operation state through tracking efficiency calculation and conversion efficiency calculation to obtain a system control parameter optimization result. According to the invention, the efficiency and accuracy of module-level power optimization of the photovoltaic system are improved.

The invention discloses a control method for a photovoltaic hybrid inverter, and the method comprises the steps: controlling an inversion unit to apply an AC voltage test signal with a preset frequency and / or a preset voltage value to the output end of the inversion unit under a no-load condition, and maintaining a maximum power point tracking module to work, so as to provide electric energy for a DC bus; judging whether the photovoltaic hybrid inverter is in a weak light state or not based on the first voltage of the direct current bus and a preset voltage threshold value; when the photovoltaic hybrid inverter is in a weak light state, the alternating current side relay is kept disconnected; and after a preset delay time, applying the AC voltage test signal to the output end of the inversion unit again, and maintaining the maximum power point tracking module to work so as to re-judge whether the photovoltaic hybrid inverter is in the weak light state or not until the photovoltaic hybrid inverter is not in the weak light state. And issuing a pull-in instruction to the alternating current side relay to control the inverter unit to operate in a grid-connected manner. And the relay is prevented from being frequently triggered to be closed when the illumination is insufficient.

The invention discloses a photovoltaic direct current conversion method, a storage medium and computer equipment, and the method comprises the steps: obtaining the duty ratio of a first pulse width modulation signal through a voltage proportional-integral algorithm when an actual output voltage is adjusted to a preset target output voltage; through a maximum power point tracking control algorithm and the actual output power, obtaining a control output voltage when the photovoltaic power generation system works at the maximum photovoltaic power point and a duty ratio of a second pulse width modulation signal when the photovoltaic power generation system is adjusted to a preset target output voltage; based on the target pulse width modulation signal corresponding to the minimum duty ratio, the on-off states of the first switching device and the second switching device are controlled at the same time until the direct current of the preset target output voltage is obtained. By combining the maximum power point tracking control and the voltage proportional integral algorithm, the first switching device and the second switching device are controlled at the same time, the structure is simplified, and meanwhile direct current can be directly output.

The invention discloses an electric arc positioning circuit and an inverter, the electric arc positioning circuit comprises a maximum power point tracking module, a current sensor, an electric arc detection module and a control module, the current sensor is used for detecting real-time current values between a plurality of photovoltaic arrays and a plurality of maximum power point tracking units; the electric arc detection module determines the electric arc fault information by analyzing the real-time current value, the control module obtains the positioning information of the electric arc fault according to the electric arc positioning instruction and the electric arc fault information, the positioning of the electric arc fault can be realized only by using one current sensor, the number of used current sensors is reduced, and the product cost is reduced.

The invention discloses a power distribution control method and device for a photovoltaic hybrid energy storage direct current microgrid based on fuzzy second-order high-pass filtering, and the method comprises the steps: researching the topological structure and working principle of the photovoltaic hybrid energy storage direct current microgrid and the energy management of the microgrid, and obtaining a power balance relation of the direct current microgrid; a comprehensive operation control strategy of the micro-grid is established, and it is determined that a photovoltaic power generation unit adopts maximum power point tracking control of fuzzy control, a grid-connected inverter adopts double closed-loop control of a voltage outer loop and a current inner loop, and a hybrid energy storage unit adopts fuzzy second-order high-pass filtering algorithm control; frequency division distribution and stability of a traditional second-order high-pass filter are studied, so that the second-order high-pass filter based on fuzzy logic is further studied, the SOC of the super capacitor is determined as a control index, and a fuzzy rule of a filtering time constant is adaptively adjusted; the established fuzzy logic variable time constant second-order high-pass filtering control simulates and compares the hybrid energy storage system power, the DC bus voltage and the super capacitor SOC under the variable illumination and load conditions with the fixed constant second-order high-pass filtering control, and compares the change curves of the super capacitor SOC of two strategies under the condition of changing the initial SOC value of the super capacitor. Three-phase current and current total harmonic distortion of the two strategies are compared, and it is verified that the efficiency of a photovoltaic power generation system is improved under the strategies, the SOC of a super capacitor changes within a reasonable range, a micro-grid can stably operate in a grid-connected mode, and grid-connected current harmonic distortion is effectively reduced.

The invention relates to the technical field of new energy storage and power grid peak regulation, in particular to a hydrogen energy storage and photovoltaic coordinated power grid peak regulation system. According to the technical scheme, the hydrogen energy storage and photovoltaic coordinated power grid peak shaving system comprises a photovoltaic power generation unit which comprises a photovoltaic array and a maximum power point tracking (MPPT) controller; the direct current input side of the water electrolysis hydrogen production device is directly connected with a photovoltaic direct current bus, and excess photovoltaic electric energy is converted into hydrogen; the graded hydrogen storage module consists of a high-pressure hydrogen storage tank (35-70MPa) and an underground salt cavern hydrogen storage bank which are connected through a self-adaptive pressure control valve; the fuel cell power generation module is connected with a power grid through an inverter and converts hydrogen into electric energy; and the dynamic scheduling controller is used for generating a cooperative instruction of hydrogen production, hydrogen storage and power generation based on the photovoltaic output prediction and the power grid frequency modulation signal. According to the photovoltaic direct-current direct-connection hydrogen production system, the energy conversion link is reduced, the overall efficiency of the system is greatly improved, and minute-level response and long-period energy storage are achieved through cooperation of the high-pressure hydrogen storage tank and the salt cavern.

The invention discloses a photovoltaic optimization regulation and control method and device based on an MPPT technology, and particularly relates to the technical field of photovoltaic power generation control, and the method specifically comprises the following steps: S1, full-link operation state synchronous collection, S2, DC bus ripple feature extraction, S3, multi-source disturbance quantitative evaluation, S4, cooperative control parameter decision making, and S5, grid-connected signal synthesis modulation. A multi-source disturbance quantitative evaluation system is adopted, the irradiance change gradient, the frequency ratio and the switching noise contribution ratio are subjected to multi-dimensional fusion, a dynamic weight distribution mechanism is established, and parallel optimization of MPPT mode selection, disturbance step length adjustment and PWM phase shift angle is achieved through a cooperative control parameter decision architecture. A response delay bottleneck existing in a traditional serial decision mode is broken through, and a ripple compensation component is dynamically injected while stable output of fundamental current is maintained based on a grid-connected signal modulation strategy of vector synthesis.

The invention discloses a power electronic distributed cooperative control method and system for an intelligent micro-grid. The method comprises the following steps: constructing a distributed communication architecture based on adaptive topology; based on a distributed communication architecture, executing a fusion cooperative control algorithm: dynamically coordinating a power distribution proportion based on a distributed average consistency algorithm, and introducing a dynamic weight mechanism; in combination with an LSTM prediction model, historical and real-time data are utilized to predict the output fluctuation and load change trend of the distributed power supply, and a control strategy is optimized in advance; setting an intelligent abnormal response mechanism; and based on the intelligent abnormal response mechanism, carrying out dynamic scheduling by adopting a flexible power regulation method. In the aspect of flexible power adjustment, fuzzy logic control is organically combined with maximum power point tracking and PWM pulse width modulation, and dynamic scheduling is performed according to the real-time operation state of the micro-grid, so that accurate and efficient control of the output power of the inverter is realized, and the overall performance and stability of the micro-grid are greatly improved.

The invention relates to the technical field of inverter control, in particular to a photovoltaic pump inverter control method based on maximum power point tracking, which comprises the following steps of: analyzing voltage and current power data and periodic change thereof based on an output end of a photovoltaic module, classifying anomalies and outputting an anomaly attribution sequence in combination with environment temperature and wiring terminal resistance; optimizing a data sequence, adjusting pump speed response, sending a flow driving instruction, screening supply and demand balance, forming a supply and demand matching signal, adjusting switch parameters, and outputting a frequency adjusting parameter group. According to the method, through interactive analysis of multiple items of real-time data, environment interference and equipment states can be distinguished in detail, the data processing priority sequence is flexibly adjusted according to different abnormal attributions, rapid response matching of the pump speed and flow relation is achieved, and continuous judgment of electric energy supply and demand balance is combined, so that the reliability of the system is improved. The inverter is promoted to keep coordinated operation under load fluctuation and external influence, output parameters are dynamically adjusted, and the water supply process is promoted to be stable and coherent.

A floating solar photovoltaic system and a method for cooling a back surface of a photovoltaic panel are described. The floating solar photovoltaic system includes a rectangular float having a divided top platform and four interconnected walls, and a cross-shaped support configured to fit between the walls and holding four pontoons within openings formed thereby. An anchoring system maintains positional stability using concrete blocks interconnected by plastic-coated stainless-steel wires. A bi-facial solar photovoltaic panel is supported by the cross-shaped support, upon triangular braces, to generate electrical power from solar radiation. A waterproof control panel cabinet is also supported with the cross-shaped support. The floating solar photovoltaic system implements environmental monitoring through temperature and irradiance sensors, with data collection and wireless transmission capabilities. An integrated power management system enables both energy storage and transmission through a maximum power point tracking converter.

The invention specifically discloses an optical storage system dynamic damping control method based on direct current capacitor energy, and relates to the technical field of new energy. The method comprises the following steps: firstly, acquiring a direct-current bus voltage value, photovoltaic output voltage and current, energy storage battery voltage and current, LC filter inductive current and grid-connected point voltage and current in the current optical storage system; then, the photovoltaic system and the energy storage system are adjusted to operate cooperatively, the photovoltaic system achieves maximum power point tracking through a disturbance observation method, and the energy storage system stabilizes the direct-current bus voltage through a voltage-current double closed loop; secondly, based on a dynamic damping control strategy of direct-current capacitor energy, introducing a difference value between actual direct-current capacitor energy and a reference value into a network construction control active control loop through a direct-current damping coefficient; and finally, performing network construction control by combining an inverter virtual synchronous generator control technology. According to the method, existing hardware resources are effectively utilized, a complex algorithm is not needed, the dynamic performance of the system is remarkably improved, and the method has high adaptability and wide application prospects.

The present application discloses a fault diagnosis method, device, and electronic device for a photovoltaic inverter fan, belonging to the field of photovoltaic technology. The method includes: determining a target date as a diagnosis date, obtaining a target maximum power point tracking voltage and a target active power of the target photovoltaic inverter to be diagnosed on the target date; determining a target operating fluctuation characteristic of the target photovoltaic inverter based on the target maximum power point tracking voltage and the target active power; and comparing the target operating fluctuation characteristic with a first inverter model and a second inverter model to determine a fan fault diagnosis result for the target photovoltaic inverter. The method uses maximum power point tracking voltage and active power data to determine the inverter operating fluctuation characteristic and promptly diagnose inverters with fan faults, thereby helping to promptly eliminate fan faults, avoid derating, and reduce power loss.

The invention discloses an interleaved parallel flyback micro inverter control method and device, and a readable medium. The method comprises the steps of obtaining a direct current voltage and a direct current of a photovoltaic module at an input end of a micro inverter, and performing maximum power point tracking calculation to obtain a reference output power; obtaining a power grid voltage instantaneous value and carrying out effective value calculation to obtain a power grid voltage effective value; calculating a grid-connected reference current effective value according to the reference output power and the grid voltage effective value; by setting a secondary side current overlapping factor and calculating and adjusting the switching frequency and the duty ratio, a secondary side current overlapping area is reduced to the greatest extent, and the peak value of the secondary side current can be reduced as far as possible, so that the current stress of a flyback diode and a power frequency flip circuit switching tube is reduced, and the grid-connected current quality is improved.

The invention discloses a photovoltaic power generation prediction method and system based on micrometeorological information, and belongs to the technical field of power system energy storage equipment, and the method comprises the steps: arranging a sensor in a photovoltaic power generation region, and collecting the meteorological data of the photovoltaic power generation region; extracting micro-meteorological characteristics from the meteorological data, wherein the micro-meteorological characteristics comprise air temperature profile characteristics and wind field vector characteristics; a convolutional neural network and a gating cycle unit are used as basic frameworks, a multi-head attention mechanism is introduced, a hybrid neural network model is established, micrometeorological features are trained, and photovoltaic power generation power is predicted; and adjusting the operation state of the photovoltaic power generation equipment according to the prediction result of the photovoltaic power generation power, and optimizing the power generation efficiency. According to the invention, through the hybrid neural network model, the space-time dependence of meteorological parameters is accurately captured, and the accuracy of photovoltaic power generation power prediction is effectively improved. According to the predicted photovoltaic power generation power curve, the maximum power point tracking parameter is dynamically adjusted to optimize power output, and the influence of power fluctuation on the power grid is reduced.