507 results about "Maximum power point tracking" patented technology

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 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 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 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 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 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 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.

The invention discloses a module-level photovoltaic optimization energy storage control system, which is characterized in that photovoltaic modules convert light energy into electric energy and transmit the electric energy to a photovoltaic optimal storage terminal, the photovoltaic optimal storage terminal carries out energy storage management and carries out maximum power point tracking on each photovoltaic module, so that each photovoltaic module is at the maximum power point; the monitoring gateway uploads data of the photovoltaic optimal storage terminals to the server and forwards control commands to the corresponding photovoltaic optimal storage terminals, the server stores the data of the photovoltaic optimal storage terminals and forwards the control commands to the monitoring gateway, and finally the monitoring platform client displays the data of the photovoltaic optimal storage terminals and issues the control commands to the server. The system not only can perform component-level optimization and improve the generating capacity, but also can perform electric energy storage, solve the problems of power limitation and power abandoning, and improve the support capability for a power grid.

The invention relates to the technical field of power electronic control, and discloses an optical storage micro-grid system and a constraint control method thereof, electronic equipment and a storage medium, the optical storage micro-grid system integrating photovoltaic and energy storage stability is configured, and a photovoltaic inverter in the optical storage micro-grid system is controlled to carry out MPPT (maximum power point tracking) so as to realize stable photovoltaic power output; particularly, the grid-connected scene and the off-grid scene are distinguished by monitoring the on-off condition of a mains supply change-over switch in real time, and on this basis, the photovoltaic scene condition and the real-time load condition are combined to perform respective constraint control on the optical storage micro-grid system in the grid-connected scene and the off-grid scene, so that the stable operation of the optical storage micro-grid system is realized.

The invention provides a satellite power supply system topology architecture and a maximum power point tracking control method thereof, and aims to improve the energy utilization efficiency of a solar cell array of a spinning body spacecraft under a complex illumination condition. The architecture adopts a combined topology architecture of a preceding-stage sequence switch maximum power point shunt regulation (S3MPR) circuit and a backward-stage four-switch Buck-Boost (FSBB) converter, and is suitable for a special operation environment of a spinning body spacecraft power supply system. The system adopts a bus full adjustment mode, enables the DC bus voltage to be stabilized near the maximum power point voltage of the photovoltaic array through a double closed-loop control strategy, and carries out real-time shunting adjustment on an S3MPR circuit in combination with a multi-peak maximum power point tracking (MPPT) algorithm, thereby ensuring the efficient operation of the photovoltaic array. According to the invention, high-efficiency energy tracking and stable charging can be realized under a complex illumination condition, and the reliability and the energy utilization rate of a spinning body spaceflight power supply system are remarkably improved.

The invention relates to an optical storage and charging system, in particular to an alternating current coupling-based optical storage and charging system, which comprises a high-voltage power distribution cabinet for receiving high-voltage electric energy of a power grid and distributing the high-voltage electric energy to a transformer; the transformer is used for converting the high-voltage electric energy into low-voltage electric energy so as to meet the voltage requirement of low-voltage side equipment; the low-voltage power distribution cabinet distributes low-voltage electric energy to the photovoltaic inverter, the energy storage converter, the charging pile and other loads; the photovoltaic inverter is used for converting direct current generated by the photovoltaic module into alternating current and enabling the alternating current to be connected in a grid or supplied to an alternating current load through a low-voltage power distribution cabinet, has a maximum power point tracking (MPPT) function and ensures that the photovoltaic module can output maximum power under different illumination conditions; the energy storage converter is used for controlling the charging and discharging processes of the energy storage module and adjusting the charging and discharging power and time of the energy storage module according to the instruction of the EMS energy management module; according to the invention, the defects of low energy utilization efficiency, poor system compatibility and insufficient economical efficiency of the lithium battery pack which cannot be combined can be overcome.

The invention relates to an MPPT (Maximum Power Point Tracking) method, system and equipment based on distributed photovoltaic and a medium, and relates to the technical field of distributed photovoltaic power generation, and the method comprises the following steps: preprocessing photovoltaic array data, and obtaining irradiance, temperature and MPP voltage data sets; determining the optimal number of hidden layer nodes of the ElmanNN by adopting K-fold cross validation and RMSE evaluation, and dividing a data set into a training set, a validation set and a test set; inputting the training set to firefly algorithm global search and ant colony optimization algorithm local optimization, and defining a stable solution as an FA-EAS optimal parameter after convergence; updating an ElmanNN weight threshold based on the optimal parameter, and deploying a training model to carry out MPP voltage online prediction; and the difference value of the predicted voltage and the reference voltage is input into a PID controller, the control quantity is calculated through incremental PID, a PWM signal is generated to control the duty ratio of the Boost converter, and maximum power point tracking is achieved. According to the invention, the tracking speed, stability and success rate of MPPT can be improved.

The invention provides a photovoltaic intelligent modular switching system, and belongs to the technical field of photovoltaic system control and optimization. The system comprises a plurality of photovoltaic module units, a detection loop, a loop switching module, a main control board and a DC-DC module, the detection loop is multiplexed through a rotation mechanism, and state parameters of the photovoltaic module units are monitored in real time; the main control board calculates an optimal series-parallel combination strategy by using a dynamic optimization algorithm, and dynamically adjusts the output power by combining a maximum power point tracking (MPPT) technology; and when the component performance is abnormal, triggering the loop switching module to isolate the fault and reconstruct the system topology. According to the photovoltaic intelligent modular switching system, the power generation efficiency is improved by dynamically optimizing the assembly combination, the stability is enhanced by timely isolating the fault assembly, the resource utilization rate is improved by multiplexing the detection loop and the DC-DC module, multiple assembly types are compatible, expansion and upgrading are facilitated, manual intervention is reduced by predicting the performance degradation, and the system is suitable for large-scale popularization and application. The operation and maintenance cost is reduced.

A dual-mode environment energy collection system comprises a radio frequency energy collection module, a light energy collection module, an energy storage module and a power output module. In the radio frequency energy collection module, an antenna receives radio frequency energy and then generates alternating current, the alternating current is converted into direct current through a rectifier and temporarily stored in a capacitor, and a DC-DC conversion circuit boosts electric energy in the capacitor and then transmits the boosted electric energy to an energy storage module; in the light energy collection module, a solar cell converts light energy into direct current, and when the voltage of the direct current reaches a cold start starting threshold value, a cold start circuit starts to work and supplies energy to an open circuit monitoring circuit and an MPPT circuit; the open circuit monitoring circuit monitors the voltage of the solar cell regularly and provides the maximum power point tracking direction for the MPPT circuit. The energy storage module stores the electric energy from the two collection modules; in the power output module, the power management circuit determines an opening threshold of the boost conversion circuit, and after the electric quantity voltage of the energy storage module reaches the threshold, the boost conversion circuit carries out boost conversion on the voltage of the energy storage module.

The invention discloses a magnetoelectric vibration energy harvesting system capable of tracking a maximum power point, which comprises a magnetoelectric vibration energy harvester, an electric energy conversion circuit, a control circuit and a cold start circuit, and is characterized in that the control circuit firstly calculates an internal impedance mode of the magnetoelectric vibration energy harvester according to open-circuit voltage and short-circuit current of the magnetoelectric vibration energy harvester; then the electric energy conversion circuit is adjusted according to an internal impedance mode of the magnetoelectric vibration energy harvester, impedance mode matching is achieved, the maximum output power of the electric energy conversion circuit is adjusted through a perturbation and observation method, and therefore maximum power point tracking is achieved; the maximum power point tracking circuit has the advantages that rapid and accurate tracking of the maximum power point can be achieved by disturbing a single parameter, energy conversion efficiency is high, and the whole circuit structure is simple.

The invention provides a high-precision MPPT limited power control algorithm, system and device and a storage medium, and the high-precision MPPT limited power control algorithm comprises the steps: obtaining a currently needed theoretical maximum power value obtained through system logic calculation in real time, and determining a first target power value of a photovoltaic module according to the currently needed theoretical maximum power value; acquiring a current output first voltage value and a current output first current value of the photovoltaic module in real time, and calculating a current output first power value of the photovoltaic module; the first power value is compared with the first target power value, the first voltage value is adjusted until the first power value reaches the first target power value, the algorithm enables photovoltaic output to accurately match real-time requirements, the problem of bus overvoltage or insufficient power caused by blind tracking of maximum power of traditional MPPT is avoided, and the power utilization rate of the photovoltaic power generation system is improved. And the control precision of the bus voltage and the output power of the photovoltaic module can be improved.

The invention discloses a photovoltaic cell maximum power point tracking method based on perturbation observation and fuzzy control. The method comprises the steps that current and voltage values of a photovoltaic cell at the current moment are collected through a current sensor and a voltage sensor; respectively subtracting the current and voltage at the current moment from the current and voltage at the previous moment to obtain a current and voltage difference value between the current moment and the previous moment, and further calculating a power difference value; taking the power difference value and the voltage difference value as input of a fuzzy controller, and performing fuzzy processing; performing fuzzy reasoning on the fuzzified power and voltage difference value and the output variable according to a predefined fuzzy rule; and deblurring the reasoning result to obtain a required duty ratio change value, and superposing the required duty ratio change value with the initial duty ratio value to obtain a final duty ratio value. According to the invention, balance between dynamic response and steady-state precision is realized, an innovative solution is provided for efficient photovoltaic energy conversion in a complex environment, and full-working-condition detection of a photovoltaic IV tester is guaranteed.