8 results about "Mppt algorithm" patented technology

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.

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 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.

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.