39 results about "Mppt algorithm" patented technology

The invention relates to the technical field of hybrid energy, and particularly provides a self-adaptive power distribution multi-source parallel mobile power supply system which comprises a multi-source input interface, a multi-channel input adjusting module, an energy storage module, an energy storage bidirectional adjusting module, a self-adaptive power distribution module and a power output interface. The method is characterized in that an MPPT algorithm is independently executed for each heterogeneous power supply through a multi-channel input adjusting module, and energy extraction is maximized; based on load detection and a multi-stage feedback mechanism, dynamic self-adaptive power distribution is realized; a multi-channel input end is adjusted into a unified standard bus voltage, and an output end dynamically adjusts the voltage according to a load, so that the energy conversion efficiency is improved while the use convenience is ensured; and the standard lithium battery units spliced without tools and the modular circuit design are adopted, so that the flexible combination and disassembly of the system are realized. According to the invention, the complexity of the hybrid energy system is greatly reduced, the system stability is improved, and efficient and lightweight hybrid energy mobile power supply is realized.

The invention relates to the technical field of photovoltaic gateways, and provides a management method and system of a photovoltaic four-function gateway, and the management method comprises the steps: constructing a photovoltaic power generation power prediction model based on electrical parameters, equipment state parameters and environmental parameters, and outputting a photovoltaic power generation power prediction value of a future time period; calculating the fluctuation degree of the photovoltaic power generation power prediction value according to the photovoltaic power generation power prediction value in the future time period, and adaptively adjusting the disturbance step length of the MPPT algorithm based on the fluctuation degree to track the maximum power point of the photovoltaic module; constructing a photovoltaic power generation power fitting model based on the environmental parameters and the electrical parameters, judging the dust accumulation state of the photovoltaic panel by comparing the deviation between the real-time power generation power and the fitting power, and generating a cleaning suggestion based on future weather forecast; and based on the electrical parameters, the equipment state parameters and the environmental parameters, constructing a fault diagnosis model, and performing real-time evaluation and fault early warning on the state of the photovoltaic panel.

The invention relates to the technical field of power systems, in particular to a photovoltaic wind power cluster and power distribution network coordinated intelligent regulation and control power supply system, which comprises a photovoltaic wind power cluster, a power distribution network and an intelligent regulation and control device in communication connection with the photovoltaic wind power cluster and the power distribution network, and comprises a data acquisition module, a cluster division module, a coordinated control module and an energy management module, an energy storage system and a fault diagnosis module are also arranged; the coordination control module stabilizes power grid parameters by matching an MPC unit optimization instruction with a reactive power coordination strategy; the energy management module uses an improved MPPT algorithm to improve the power generation efficiency, and combines with prediction to optimize a power generation plan; the energy storage system stabilizes power fluctuation, and the fault diagnosis module quickly locates and disposes faults based on wavelet transform and CNN-LSTM. The method can adapt to conventional, high-photovoltaic-permeability and high-load-rate scenes, guarantees that the frequency deviation is smaller than or equal to + / -0.2 Hz and the voltage fluctuation is smaller than or equal to + / -5%, remarkably improves the renewable energy consumption rate and the power supply reliability, and is suitable for various power distribution networks containing distributed new energy.

The embodiment of the invention provides a photovoltaic charging control method and device, a storage medium and a charging system. The method is used for controlling a charging system, and the charging system comprises a PV panel, a PV boost converter and a battery system. The method comprises the steps that before a charging system is started, a first switching tube and a third switching tube are closed, and if it is judged that the short-circuit current of a PV panel is larger than a set current threshold value, the PV panel is controlled to be connected to and activate a battery system; when the charging system enters the working stage, acquiring the voltage of the PV panel and the power supply current of the battery system; power supply current and PV panel voltage are calculated through an improved MPPT algorithm, voltage single-loop given voltage is generated, and the improved MPPT algorithm starts to search the maximum power point when the PV panel voltage is zero; calculating the given voltage of the voltage single loop and the voltage of the PV panel based on a proportional-integral algorithm, and generating switch-on time of a switch tube; and the second switch tube and the third switch tube are controlled according to the switch tube conduction time, so that the hardware cost and the control cost of the charging system are reduced.

The application provides a photovoltaic heating adapter device, which comprises a power module, a driving circuit, a signal acquisition circuit, a power tracking circuit, a temperature control circuit, an interface control circuit, a button control circuit, a liquid crystal display circuit, a control unit and a control power input circuit. The control unit analyzes the voltage, current and power of the photovoltaic and load, controls the output of the power device through the driving circuit according to the MPPT algorithm, directly drives the heating body, and changes the load to track the power change of the photovoltaic cell, so that the photovoltaic cell always works at the maximum power point. The interface control circuit can be connected to the upper controller, and the photovoltaic heating adapter device is complementary matched with the mains driving heating, directly heated and stored energy. The photovoltaic heating adapter device has high practicability, high safety, stable operation balance and the like, utilizes the photovoltaic to heat the heating body, saves a large amount of energy, and is applied to a heat circulation system to improve the heat energy efficiency.

The present application belongs to the technical field of energy, and specifically discloses a greenhouse power supply system light storage capacity configuration method, device, equipment and medium; the present application is based on typical daily load distribution data, establishes a photovoltaic capacity configuration model and an energy storage capacity configuration model; the photovoltaic capacity configuration model is solved through the MPPT algorithm, the energy storage capacity configuration model is solved through the improved particle swarm algorithm, and the optimal solution is obtained; according to the optimal solution, the light storage capacity of the greenhouse power supply system is configured; based on the MPPT algorithm and the improved particle swarm algorithm, the optimal photovoltaic capacity configuration result and the energy storage capacity configuration result are obtained, the operation speed is fast, the reliability is high, and the problems of slow late convergence speed, premature convergence and falling into a local optimal solution of the existing algorithm itself are overcome.

The application discloses a kind of photovoltaic module intelligent control method based on TinyML, specifically related to photovoltaic system control technical field, pre-training under model quantization control based on original collection data to TinyML framework, according to the spatial distribution of photovoltaic module array surface temperature, the generalization ability of model is evaluated by k-fold cross validation, and the model is optimized by hyperparameter search, for obtaining illumination intensity threshold and temperature threshold, MCU reads the environmental data when photovoltaic module is used, according to different environmental data, MCU adjusts photovoltaic module voltage through dynamic control strategy, and carries out fault diagnosis to photovoltaic module through the time series data of sensor and TinyML algorithm. Through adaptive MPPT algorithm, the energy conversion efficiency of photovoltaic system is significantly improved, and the stability and reliability of the system are improved according to the dynamic adjustment of control strategy.

The invention discloses a photovoltaic module maximum power point tracking and grid-connected control method, in a photovoltaic system, the input of a series converter SLC is connected to an equivalent direct current bus, each photovoltaic string is connected to the equivalent direct current bus through a cascade converter, and the cascade converter adopts a cascade structure of a DAB converter and a BL converter. A DAB converter is used as a first stage, and a BL converter is used as a second stage; the method comprises the following steps: acquiring a real-time main bus voltage, if the main bus voltage is in a normal grid-connected interval, acquiring a real-time equivalent direct current bus voltage by using a central converter, and adjusting the equivalent direct current bus voltage through PI closed-loop control; independently operating an MPPT algorithm for each photovoltaic string by using a BL converter so as to realize maximum power point tracking; a DAB converter is utilized to obtain a real-time intermediate bus voltage, the intermediate bus voltage is kept stable through SPS modulation, and stable power support is provided for a BL converter.

The invention discloses a vehicle-mounted MPPT (maximum power point tracking) photovoltaic charging method, which relates to the technical field of vehicle-mounted photovoltaic charging and comprises the following steps: constructing a Buck-Boost circuit topology, acquiring an analog output signal of a vehicle-mounted photovoltaic module in real time through a sampling circuit, and converting the analog output signal into a corresponding digital signal; the obtained digital signals are analyzed, and whether a protection program is executed or not is judged according to the analysis result; simulating the output power of the vehicle-mounted photovoltaic module based on an MPPT algorithm so as to obtain corresponding reference voltage and reference current; the actual output of the vehicle-mounted photovoltaic module is compared with the reference voltage and the reference current, the actual output of the vehicle-mounted photovoltaic module is compensated according to the obtained error value, and then a corresponding PWM signal is generated; and adjusting the direct current output by the vehicle-mounted photovoltaic module according to the PWM signal, and collecting the output to a direct current bus to complete the charging of the battery.

The application provides a wind, light, hydrogen and storage direct-current micro-grid distributed control method and system, and belongs to the technical field of micro-grid distributed control, wherein the method comprises the following steps: adopting an EPP-MPPT algorithm based on a Newton-Raphson method to perform maximum power output control on a photovoltaic generator set in a photovoltaic power generation unit, adopting an IMPPT algorithm to perform maximum power output control on a wind power generator in a wind power generation unit, adopting a distributed power supply control strategy to adjust power imbalance among distributed power generation units, load demand and energy storage equipment, and dividing the whole power balance control process into an active part and a passive part. The application can effectively solve the current overshoot or undershoot problem of the traditional bus voltage signal control under the system power mutation of the distributed energy storage equipment.

This invention discloses a control method for multi-model photovoltaic module arrays, belonging to the field of intelligent photovoltaic technology. The method includes: S1, acquiring current electrical parameters; S2, electrical parameter difference and threshold comparison analysis: calculating the difference between the current electrical parameters and the predicted electrical parameters, and determining whether the difference is greater than a preset threshold. If it is greater, proceed to step S3; otherwise, proceed to step S4; S3, adjusting the power supply control quantity and time series array values, then proceeding to step S5; S4, rearranging the time series array; S5, predicting the next time series electrical parameters; S6, two-dimensional FFT: performing a two-dimensional Fourier transform on the time series matrix to obtain the time-spectrum array; S7, predicting the electrical parameter increment; S8, MPPT algorithm control. By integrating frequency domain analysis, probabilistic prediction, and distributed parallel control, environmental abrupt changes and module differences are transformed into computable time-series spectral features, achieving "predictive" tracking of MPPT, which can significantly improve power generation efficiency under complex illumination and module difference scenarios.

The invention discloses a photovoltaic MPPT (Maximum Power Point Tracking) control algorithm, which relates to the technical field of photovoltaic control algorithms, utilizes the characteristics of simple structure, high convergence speed, high global optimization capability, wide applicability and the like of a gradient optimization algorithm, and improves the defects of premature convergence and sensitivity to control parameters of the gradient optimization algorithm. Meanwhile, the photovoltaic output energy efficiency and the stability of the photovoltaic output energy efficiency serve as the evaluation basis, an MPPT algorithm performance evaluation model is constructed through an analytic hierarchy process, photovoltaic MPPT performance is evaluated, and GTO performance is verified and improved.

The application discloses a kind of based on reinforcement learning's light storage fills integrated system and power distribution control method, it is related to light storage fills technical field, it is difficult to take into account dynamic response speed, operating stability and energy management efficiency under complex working condition technical problem.The method comprises: based on maximum power point tracking MPPT algorithm determines the maximum power point of photovoltaic power generation unit for electric energy output;Real-time acquisition is carried out to multiple operating parameters by reinforcement learning power compensation agent, the power deviation between total output power and reference power is calculated, and proportioning treatment is carried out, and state vector is inputted jointly;Based on multiple input state vectors, multiple target weighted comprehensive reward function, obtain power compensation deep neural network;Based on real-time operating parameter, power compensation deep neural network carries out inference processing, obtains the power regulation amount of energy storage unit, enters preset working mode.The application realizes the flexible, accurate and safe distribution of power between photovoltaic, energy storage and power grid.

The application discloses a power supply management system based on distributed power grid energy storage equipment, and relates to the technical field of power supply management. The system collects and pre-processes light intensity and temperature data in a fixed time period, then reconstructs a phase space, obtains a maximum Lyapunov exponent through a small data amount method, compares the maximum Lyapunov exponent with a threshold value, selects an MPPT algorithm or an LSTM-MPPT algorithm to track the maximum output power of solar energy, and effectively improves the accuracy of maximum output power tracking. The maximum output power is sorted by time, and the slope k between the two points is obtained. Whether to start the standby energy storage equipment is determined by the size of k, and the charging and discharging conditions of the standby energy storage equipment are determined by the positive and negative of k. After starting the standby energy storage equipment, the loss of electric energy transmission between solar energy and the standby energy storage equipment is compared with the electric energy consumed by moving the standby energy storage equipment to solar energy, so as to select wire transmission or move the standby energy storage equipment, thereby avoiding electric energy loss.

The present application relates to photovoltaic gateway technical field, propose a kind of photovoltaic four can gateway management method and system, the management method includes: based on electrical parameter, equipment state parameter and environmental parameter, construct photovoltaic power generation power prediction model, and output future time period's photovoltaic power generation power prediction value;According to the fluctuation degree of photovoltaic power generation power prediction value, the fluctuation degree of photovoltaic power generation power prediction value is calculated, and based on fluctuation degree self-adapting adjustment MPPT algorithm's perturbation step length to track the maximum power point of photovoltaic module;Based on environmental parameter and electrical parameter, construct photovoltaic power generation power fitting model, by comparing the deviation of real-time power generation power and fitting power, determine photovoltaic panel dust accumulation state, and generate cleaning suggestion based on future weather forecast;Based on electrical parameter, equipment state parameter and environmental parameter, construct fault diagnosis model, and carry out real-time evaluation and fault early warning to photovoltaic panel state.

The invention provides an MPPT (Maximum Power Point Tracking) control method and device for a two-stage flyback micro inverter, relates to the photovoltaic field, and solves the technical problem of insufficient efficiency and adaptability under complex working conditions due to the fact that an existing MPPT algorithm cannot give consideration to dynamic tracking speed and steady-state control precision in the two-stage flyback micro inverter. The method comprises the following steps: collecting direct current side voltage and direct current side current of a photovoltaic module, and calculating current input power; updating the maximum power based on the current input power and the maximum power; determining to enter an MPPT mode or a constant power mode based on the currently obtained maximum power and the set power; calculating an expected voltage reference in an MPPT mode or a constant power mode; according to the deviation between the expected voltage reference and the output voltage, the PWM duty ratio is analyzed through a PI controller. The MPPT control method and the MPPT control device are used in the MPPT control process of the two-stage flyback micro inverter.

The invention provides a photovoltaic air conditioning system bus voltage dynamic adjusting method, a photovoltaic air conditioning system and a photovoltaic air conditioner, and belongs to the technical field of household appliances. The method comprises the steps that the air conditioner electricity demand is solved according to the compressor operation frequency, and the system state of the photovoltaic air conditioner is judged in combination with photovoltaic power generation power; when it is judged that the system state of the photovoltaic air conditioner is in an inversion mode, the bus voltage value is adjusted to the maximum power output point through an MPPT algorithm; and when it is judged that the state of the photovoltaic air conditioning system is a rectification mode, a reinforcement learning algorithm is adopted to set a bus voltage initial value, and the bus voltage is optimized to a bus voltage target value through a PID control algorithm. According to the method, the bus voltage is adjusted to the optimal value in real time according to the electricity demand of the air conditioner, it is ensured that the system can stably operate under different operation conditions, the overall stability and reliability of the system are improved, and the method is suitable for the photovoltaic air conditioner system under various complex working conditions.

The invention provides a photovoltaic heating adapter device. The photovoltaic heating adapter device comprises a power module, a driving circuit, a signal acquisition circuit, a power tracking circuit, a temperature control circuit, an interface control circuit, a key control circuit, a liquid crystal display circuit, a control unit and a control power supply input circuit. Wherein the control unit performs analysis according to the voltage, current and power of the photovoltaic cell and the load, controls the output of the power device through the driving circuit according to an MPPT algorithm, and directly drives the heating body, so that the load changes along with the change of the power of the photovoltaic cell, and the photovoltaic cell always works at the maximum power point; the interface control circuit can be connected with a superior controller and is complementary and matched with mains supply driving heating, and direct heating and energy storage are achieved. The photovoltaic heating adapter device is high in practicability, high in safety and balanced and stable in operation, a heating body is heated through photovoltaic power, a large amount of energy is well saved, the photovoltaic heating adapter device is applied to a heat circulation system, and the heat energy efficiency is improved.

The invention discloses a sewage purification and power generation system of a microbial fuel cell. The sewage purification and power generation system comprises a sewage diversion and distribution module, a microbial reaction and degradation module, an electrochemical signal acquisition and conversion module, an MFC polarization curve analog calculation module, a multi-algorithm cooperative control module and an electric energy output and regulation module. Sewage is distributed to the reaction module through the diversion module according to a preset flow velocity, microorganisms degrade pollutants to generate electrons and protons, the electrons are transmitted to the signal acquisition module, and the protons are migrated to the cathode; the acquisition module converts an electric signal and then transmits the electric signal to the polarization curve calculation module to generate data, the multi-algorithm cooperative control module loads a chaotic mapping parameter self-adjustment algorithm, a multi-dimensional mass transfer electrochemical coupling model and a variable-step incremental conductance MPPT algorithm to process the data, and outputs a regulation and control instruction to the electric energy output module to realize stable output of electric energy. Through module cooperation and algorithm dynamic optimization, the sewage purification efficiency, the power generation efficiency and the electric energy output stability are improved.

This application relates to an intelligent environmental collaborative control method and system for plant cultivation in confined spaces. The method includes: collecting multidimensional environmental and plant phenotypic data to generate an input state vector containing the errors and rates of change of each parameter; inputting the input state vector in parallel into a fuzzy controller with a built-in coupled rule base, and outputting a preliminary decision vector through inference; using an improved particle swarm optimization algorithm with time multiplication by the integral of absolute error as the objective to optimize the quantization factor and scaling factor of the fuzzy controller, generating a control decision vector; addressing system feedback delay by connecting Smith predictors in parallel to each loop, utilizing delay-free predictive output to participate in feedback regulation in advance, eliminating lag effects, and obtaining a compensated final control command vector; monitoring photovoltaic power generation and battery status, running a variable-step MPPT algorithm to calculate available power, and if power supply is insufficient, initiating an energy consumption optimization strategy to adjust the load or regenerating and executing commands.

The application discloses an MPPT control device, method and equipment applied to a satellite electric propulsion system, the MPPT control device comprising an MPPT reference voltage generating circuit and an MPPT algorithm basic circuit, the MPPT reference voltage generating circuit is used for generating a first reference voltage signal for controlling a solar cell operating point; the MPPT algorithm basic circuit is connected with the MPTT reference voltage generating circuit and a main circuit in the satellite electric propulsion system, the MPPT algorithm basic circuit is used for collecting an output voltage signal and an output current signal of the main circuit, and generating a control signal according to a second reference voltage signal after amplitude limiting processing of the first reference voltage signal, the output voltage signal and the output current signal, so as to control the MPPT reference voltage generating circuit through the control signal. The application can realize energy balance of the satellite electric propulsion system in an illumination period, a shadow period and the whole life period, realize maximum energy utilization, maintain bus voltage in a certain range, and guarantee high reliability and stable operation of the satellite power supply system.

The invention belongs to the technical field of water electrolysis hydrogen production control, and particularly relates to a wide-range input direct-current power supply for photovoltaic water electrolysis hydrogen production and a control method, the wide-range input direct-current power supply comprises a DC / DC power supply system, and the DC / DC power supply system comprises an electric energy input module, a direct-current bus, a dual-output module, a hybrid energy storage module and a control module; the electric energy input module supports 500V-1500V wide voltage input, and photovoltaic energy collection is maximized in combination with an MPPT algorithm and a high-frequency switch conversion technology; the double output modules are differentially adapted to the stable operation of the alkaline electrolysis system and the quick response requirement of the PEM electrolysis system; the hybrid energy storage module adopts a hybrid energy storage architecture, and cooperates with the control module to realize power buffering and energy optimization distribution based on a dynamic threshold value of an operation database and weather forecast and a three-level scheduling mechanism. According to the invention, wide-range efficient utilization of photovoltaic energy is realized, stable operation of two hydrogen production systems is guaranteed, hydrogen production continuity and economy are considered, and overall efficiency and reliability of photovoltaic hydrogen production are improved.

The invention relates to the technical field of photovoltaic grid-connected inverters, in particular to an inverter control method and system for a photovoltaic grid-connected system, and the method comprises the steps: collecting various electrical parameters of the DC side of an inverter at all moments, and environment parameters at all moments; dividing a historical moment before the current moment into time periods; determining a deviation coefficient of each electrical parameter in each time period; characteristic difference values of various electrical parameters in various time periods are obtained; obtaining a step length adjustment coefficient of the MPPT algorithm at the current moment; the step length of the MPPT algorithm at the current moment is corrected, and the maximum power point of the photovoltaic array at the current moment is obtained; and adjusting the power output of the photovoltaic array at the current moment by utilizing a PID (Proportion Integration Differentiation) controller based on the deviation between the electrical parameter corresponding to the maximum power point at the current moment and the actual electrical parameter at the direct current side of the inverter. Therefore, the PID control precision and stability of the intelligent inverter are improved.

The application discloses an improved MPPT algorithm in a light hydrogen storage direct-current microgrid and a three-phase interleaved parallel hydrogen production converter current sharing control method and system, and the method comprises the following steps: obtaining a physical system model according to the hardware circuit parameters of a three-phase interleaved parallel DC-DC converter hydrogen production system of the light hydrogen storage direct-current microgrid; constructing an improved MPPT algorithm according to the output characteristics of a photovoltaic array; obtaining photovoltaic Boost converter control logic according to the improved MPPT algorithm; constructing a small signal model of a main circuit according to the physical system model; obtaining overall control logic according to the control architecture of the three-phase interleaved parallel hydrogen production converter and the photovoltaic Boost converter control logic; constructing a small signal model of a control system according to the overall control logic; obtaining a target small signal model according to the small signal model of the main circuit and the small signal model of the control system, and setting a current sharing control strategy of the three-phase interleaved parallel hydrogen production converter based on the target small signal model.

The invention discloses a method and system for charging a mobile phone by sunlight based on a battery tracking MPPT algorithm, and relates to the technical field of mobile phone charging management, and the method comprises the steps: obtaining the related parameters of a mobile phone battery, and carrying out the dynamic control of the voltage and current of the mobile phone battery based on the related parameters of the mobile phone battery, obtaining power entering the mobile phone battery based on the voltage and the current entering the mobile phone battery; wherein the relevant parameters of the mobile phone battery comprise voltage, current, temperature, cycle index and health degree of the mobile phone battery; real-time illumination intensity and environment temperature data are obtained, the working voltage of the solar cell panel is continuously adjusted according to the real-time illumination intensity and environment temperature data, the change of the output power is monitored, and finally the maximum output power is determined; and based on the comparison result of the power of the mobile phone battery and the maximum output power, the charging parameters are optimized by combining a battery tracking MPPT (Maximum Power Point Tracking) algorithm.

This invention discloses a resin tile integrating photovoltaic power generation and display functions, and a flat-to-pitched roof conversion method, belonging to the field of building-integrated photovoltaics (BIPV) technology. The resin tile adopts a composite structure consisting of a modified PVC substrate layer, a glass fiber reinforcement layer, an impact-resistant layer, and an ASA weather-resistant layer. It features a wavy, wave-like shape with peaks and troughs laterally and a stepped shape longitudinally. LED light strips are embedded in the peaks and covered with diffuser plates, while PERC monocrystalline silicon photovoltaic panels are integrated into the troughs, with ETFE encapsulation layers enhancing light transmittance. Multiple resin tiles are connected via waterproof connectors to form a photovoltaic array and display matrix. ZigBee wireless network and TDMA distributed control protocol are used to synchronize display content, and MPPT algorithm optimizes photovoltaic power generation efficiency. By converting flat-to-pitched roofs to pitched roofs, this invention integrates power generation, display, and structural protection in the renovation of existing buildings. This invention combines high mechanical strength, weather resistance, energy self-sufficiency, and dynamic display capabilities, significantly reducing building renovation costs and making it suitable for urban landscapes and smart building applications.

The invention discloses an improved power optimization control method for an inductive current distributed photovoltaic cell energy storage system based on a non-magnetic-core transformer link, and the method comprises the steps: only employing a power converter based on the non-magnetic-core transformer link and an inductive current sensor in an improved distributed structure photovoltaic system; on the basis of original multi-input single-output multi-photovoltaic-channel time-sharing rule optimization control, isolation of circuits on the two sides is achieved, even if illumination of the photovoltaic channels is different, output of the maximum power of the photovoltaic channels under the shadow condition through MPPT can be achieved, and the maximum power of the photovoltaic channels under the shadow condition can be achieved. A non-magnetic-core transformer link and an improved MPPT algorithm thereof are introduced into the power converter, the program complexity and the calculated amount are effectively simplified through a global search and local search combined scheme, and a control mode of simultaneous access of photovoltaic modules and power deviation judgment are introduced into the algorithm. And a multi-input single-output circuit isolation and local optimal solution avoiding method is realized.

The invention relates to the technical field of photovoltaic arrays, in particular to a cooperative hybrid evolution photovoltaic MPPT method and system, a medium and equipment. The method comprises the steps of generating an initial population through reverse learning; calculating a normalized index based on population diversity, and judging a convergence state; if not, elitist reservation and reinforcement learning multi-arm long machine adaptive scheduling QI-PSO operator and GA operator dual-channel propagation are executed in sequence; if power abrupt change is monitored, an algorithm is reset and restarted; and outputting the optimal duty ratio after convergence. Through the arrangement, the problems that an existing MPPT algorithm is prone to local optimum under complex working conditions such as local shading, exploration and utilization balance is difficult, oscillation is generated in the later stage of convergence, and environmental adaptability is poor are effectively solved.

The invention provides a self-adaptive MPPT vibration energy collection and management chip based on charge transfer, and belongs to the technical field of vibration micro energy collection. According to the invention, the nine-phase SSHC module controls the total series resistance value of the flip capacitor during the charge transfer period; the full-wave bridge active rectification module converts alternating current input into direct current output. The active diode collects the output of the full-wave bridge active rectifier module; the under-voltage locking module monitors an input voltage threshold value and controls a subsequent part to sleep or start working; the self-adaptive charge transfer MPPT algorithm module judges and calculates the maximum power point voltage at the moment according to the amplitude change of an input source, and carries out self-adaptive sampling and control on the maximum power point voltage. The vibration energy collecting device has high voltage overturning efficiency, internal logic abnormity or ineffective work at low voltage can be avoided, the adaptive maximum power point can be automatically and rapidly adjusted according to changes of the external environment, and the vibration energy collecting device is suitable for various vibration energy collecting scenes with different characteristics.

This invention discloses an intelligent control method for a photovoltaic grid-connected inverter, relating to the field of photovoltaic power generation technology. The method includes the following steps: system check, maximum power point tracking (MPPT), real-time measurement of the output voltage and current of the photovoltaic array in the photovoltaic system, obtaining ΔP(K) using an incremental algorithm, and then using the MPPT algorithm to obtain P based on ΔP(K). max (K) Grid-connected control connects the inverter to the grid, enabling intelligent power adjustment. After grid connection, the inverter output is adjusted through a power optimization algorithm to bring it closer to the theoretical maximum power point. Safety maintenance measures include an incremental algorithm that calculates power increments in real time and updates the maximum power point accordingly, improving the accuracy of tracking the maximum power point and ensuring that the photovoltaic system can operate close to the maximum power point. The power optimization algorithm then adjusts the inverter output to bring it closer to the theoretical maximum power point, achieving real-time optimization and improving the overall performance and efficiency of the photovoltaic system.