17 results about "Mppt algorithm" patented technology

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.

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.

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 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.

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 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.

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.

According to the dual-mode parallel competitive autonomous self-synchronizing voltage source centralized photovoltaic power generation system provided by the invention, in an MPPT (Maximum Power Point Tracking) operation interval, a grid-side DC / AC (Direct Current / Alternating Current) converter adopts inertia synchronous control, and meanwhile, the voltage balance of a direct current bus is maintained through various MPPT algorithms and the maximum output power of an inverter is achieved; in a constant power operation interval, the photovoltaic array autonomously maintains the stability of the DC bus voltage according to the active power output by the inverter, the grid-side converter uses virtual synchronous control, the effect of photovoltaic array-grid-side converter power balance is achieved by controlling the output power of the grid-side DC / AC converter, and the bidirectional primary frequency modulation function is achieved. Besides, when switching is carried out in different operation intervals, the two working modes operate at the same time, a final loop is judged and output through a dual-mode parallel competition autonomous strategy, smooth switching of the equipment in different operation intervals is achieved, and the dynamic performance in the switching process is improved.

The invention discloses a maximum power point tracking method and system based on least square dual control, and relates to the technical field of photovoltaic power generation. The method comprises the following steps: initializing a reference voltage and a least square parameter; collecting photovoltaic end voltage and current calculation power in real time; updating the parameters of the photovoltaic power model online by using RLS; calculating a reference voltage according to the updated parameter; a dual control strategy is adopted, the parameter uncertainty is considered while the voltage deviation is minimized, and the optimal control quantity is calculated; and closed-loop real-time tracking is realized through iteration. According to the method, system identification and adaptive control are deeply fused, model parameters are corrected by using an RLS algorithm, and a dual control strategy considering utilization and exploration is combined, so that the problems of slow response, steady-state oscillation and insufficient precision of a traditional MPPT algorithm during environment change are effectively solved, and rapid dynamic response and high-precision steady-state tracking of a photovoltaic power generation system are realized.

The invention discloses a high-altitude photovoltaic power prediction and diagnosis method based on a neural network, and relates to the field of photovoltaic technology, and the method comprises the steps: S1, recording the environment spectrum data of a target inverter, and obtaining the preset spectrum data; s2, screening out a sensitive change wave band, and calculating the spectral offset difference of a target inverter; s3, constructing a spectral current model, a spectral voltage model and a neural network model to update the correction current and the correction voltage; and S4, re-executing the MPPT algorithm process to update the corrected power value, and returning to execute the step S2 when the corrected power value does not accord with verification. According to the invention, sensitive wave band screening is carried out on the environment spectrum, the spectrum offset difference is converted into the correction current and the correction voltage, and the neural network model is constructed to carry out real-time correction on the initial current and the initial voltage of the inverter. The method has the advantages that the MPPT maximum power point positioning precision is improved, and the high energy conversion efficiency of the high-altitude field photovoltaic inverter is maintained.