295 results about "Maximum power point tracking" patented technology

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 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 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 relates to the technical field of photovoltaic power generation control, in particular to a rapid maximum power point tracking method based on an optimization algorithm and a variable step size strategy. According to the method, an improved intelligent optimization algorithm based on biological heuristic is adopted, and the performance is optimized through an adaptive weight factor and a dynamic search strategy; acquiring a current maximum power point by utilizing a self-adaptive step length adjustment strategy based on a power change rate and combining a momentum factor and a step length reset mechanism; identifying a global optimal region through second derivative information of a power-voltage curve and a sliding window technology; and a state evaluator based on fuzzy logic automatically selects an optimal tracking mode according to the illumination change rate and the power fluctuation amplitude. According to the method, the maximum power point of the photovoltaic system can be quickly and accurately tracked under complex and changeable environmental conditions, and the energy conversion efficiency is improved.

The invention relates to the technical field of photovoltaic power station intelligent monitoring, and discloses a distributed photovoltaic power station monitoring management method and system based on a cloud platform, and the method comprises the steps: collecting the operation parameters of a photovoltaic string; applying bounded perturbation in a stable interval of maximum power point tracking to obtain a feature vector; and constructing a topological graph, and reconstructing a virtual current and voltage characteristic curve and key characteristic points. And obtaining a node-level health index on the topological graph, and generating an abnormal score in combination with the reference distribution. And according to the shape deviation of the virtual current and voltage characteristic curve and the distribution of the node-level health indexes, positioning an abnormal string and an affiliation node thereof, solving the optimization problem of power generation income, degradation risk and power fluctuation under the condition of satisfying parameter constraints, and obtaining an active power limit and a power factor control track to be issued to an edge node for execution. According to the invention, the diagnosis precision and the grid-connected stability of the distributed photovoltaic power station in a large-scale scene are improved, and the expandability and the intelligent level are improved.

The embodiment of the invention discloses an arc discharge fault detection method and device and a photovoltaic system, the arc discharge fault detection method is applied to the photovoltaic system comprising at least one arc discharge plate, each arc discharge plate corresponds to at least two maximum power point tracking units, and each maximum power point tracking unit corresponds to at least one target sampling channel. The arcing fault detection method specifically comprises the following steps: for each arcing plate, collecting a current signal of a target sampling channel; determining the channel state of each target sampling channel based on an arc discharge detection algorithm and each current signal; wherein the channel state comprises arc discharge and normal state; outputting differentiated waveform signals in one-to-one correspondence with the protection types based on the channel states of all the target sampling channels; wherein the protection type is used for indicating whether the corresponding maximum power point tracking unit needs to execute a protection action or not; and executing a corresponding protection action on the maximum power point tracking unit needing to be protected according to the protection type.

A wind power generation system preset time maximum power point tracking control method comprises the following steps: firstly, establishing a wind power generation system dynamic model containing parameter uncertainty and external disturbance, and meanwhile, constructing a preset time convergence integral sliding mode surface; the method has the core advantages that the convergence time can be directly set by controller parameters and is irrelevant to the initial state of the system; secondly, designing a preset time self-adaptive controller based on the rotating speed tracking error and the sliding mode surface, and enabling the rotating speed tracking error to be quickly converged in preset time; the upper bound of lumped uncertainty of the system is estimated online through a self-adaptive mechanism, unknown dynamic and external disturbance are compensated in a unified mode, and dependence on an accurate model and disturbance prior knowledge is not needed; and finally, strictly proving the preset time stability of the closed-loop system through a Lyapunov stability theory. The method has good dynamic response performance and predictable convergence behaviors, and the robustness and the power generation efficiency of the system are improved.

This invention provides an involute water electrode photovoltaic power generation and thermal storage system and control method. The system mainly includes a thermal storage tank, an involute water electrode, a fixed water electrode, a photovoltaic power supply system, and a monitoring system. The involute water electrode is made of a thin conductive metal plate material, formed by rolling the thin conductive metal plate into an involute shape to create a 360° involute water electrode. The control method includes initialization settings, photovoltaic maximum power point tracking (MPPT), rapid locking of the photovoltaic maximum power point segment, and refined photovoltaic MPPT control. Based on the principle of a water electrode hot water boiler, this invention utilizes a photovoltaic array to power the water electrode hot water boiler. Since the photovoltaic array outputs DC power, and to ensure maximum photovoltaic power output, this invention focuses on solving the problems of water electrode polarization and low-cost photovoltaic MPPT during photovoltaic array heating of the water electrode boiler, thus achieving efficient utilization of photovoltaic power generation.

The invention relates to a portable optical storage power supply energy management method and device, electronic equipment and a storage medium. The method comprises the following steps: an MPPT (Maximum Power Point Tracking) control step: carrying out energy management control on a maximum power point tracking MPPT control unit of the portable optical storage power supply based on a preset maximum power point tracking MPPT control algorithm; a PCS control step: on the basis of a preset energy storage converter PCS control algorithm, performing charging and power supply allowing instruction control on an energy storage converter PCS control unit of the portable optical storage power supply; and a power control step of performing energy management control on the power supply power of the portable optical storage power supply based on a preset portable optical storage power supply power control algorithm. According to the invention, a special integrated power management chip is avoided, so that the hardware purchasing and debugging cost is effectively reduced; functions are not limited by hardware, various customer requirements can be quickly met, and function iteration is flexible; the number of core devices is reduced, and the risk probability that products cannot work due to core hardware failure is effectively reduced.

The Smart Energy Consumption Monitoring System with Integrated Fast Charging and Solar Power provides a comprehensive solution for monitoring and managing energy usage in real-time for mobile devices. The system integrates sensors, data processing units, machine learning algorithms, solar panels, an MPPT module, and a fast-charging module to optimize energy consumption, promote efficiency, and ensure sustainable power supply.

The application relates to a photovoltaic charging device in the technical field of charging control. The photovoltaic charging device comprises a photovoltaic assembly, a maximum power point tracking control unit, a voltage stabilizing circuit and a charging interface. The photovoltaic assembly is used for converting solar energy into electric energy. An output end of the photovoltaic assembly is electrically connected with an input end of the maximum power point tracking control unit. An output end of the maximum power point tracking control unit is electrically connected with an input end of the voltage stabilizing circuit. An output end of the voltage stabilizing circuit is electrically connected with the charging interface. The charging interface is used for electrically connecting a device to be charged. In this way, the photovoltaic charging device converts solar energy into electric energy and directly supplies power to the device to be charged, without a storage battery, thereby avoiding the related disadvantages of charging the storage battery, completely eliminating the safety risks such as liquid leakage and explosion, and having the remarkable advantages of sustainable power supply, simple maintenance, controllable long-term cost, excellent safety performance and the like, and being capable of meeting the outdoor flexible and convenient welding requirements.

A solar power generation system configured by connecting a plurality of power generation systems including a solar panel and a DCDC circuit unit in parallel includes a first control unit that performs maximum power point tracking control for a host power generation system that is one of the power generation systems, and drives the DCDC circuit unit at a duty cycle corresponding to a maximum power point of the solar panel, and a second control unit that, for each of slave power generation systems other than the host power generation system among the power generation systems, derives a variation ratio of an input voltage or an output voltage of the DCDC circuit unit before and after the maximum power point tracking control is performed by the first control unit, and corrects the duty cycle of the DCDC circuit unit based on the variation ratio.

The application discloses a tracking lock type maximum power point tracking circuit and an implementation method thereof, which comprises a rectifier circuit, a control circuit, a step-down-step-up converter control circuit and a step-down-step-up converter. The rectifier circuit is used for converting input alternating current energy into direct current energy. The control circuit is used for judging the length of current inductance demagnetization time, adjusting the current inductance demagnetization time, realizing indirect detection of inductance current zero-crossing point, and generating a switch timing control signal. The step-down-step-up converter control circuit is used for generating a first switch tube driving signal and a second switch tube driving signal. The step-down-step-up converter is used for adjusting input impedance according to the first switch tube driving signal and the second switch tube driving signal, and realizing maximum power point tracking. The application can realize adaptive locking of the maximum power point under different vibration frequencies and different open circuit voltages, improve the tracking speed of the circuit when the input changes, and can be widely applied to the technical field of integrated circuits.

The present application relates to photovoltaic and energy storage collaborative control technical field, especially to be applied to 5G integrated power supply photovoltaic control adjustment method and system, the present application proposes the following scheme, the photovoltaic characteristic parameter and corresponding time mark data are collected, three-dimensional curved surface model is constructed to carry out differential geometry curvature analysis, according to the curvature analysis result, the light change event type is determined and the photovoltaic maximum power point is positioned, according to the photovoltaic maximum power point, the photovoltaic output parameter adjustment and energy storage charging and discharging strategy is generated, the present application realizes the quick response to the quick fluctuation of light through the fusion of multidimensional characteristic parameters, adopts the positioning strategy of event-driven, improves the maximum power point tracking accuracy and dynamic stability, reduces power oscillation and energy loss, realizes the collaborative optimization of photovoltaic, energy storage and load.

The invention discloses a maximum power point tracking method of a photovoltaic module, control equipment and a photovoltaic system, and relates to the technical field of photovoltaics. The method comprises the following steps: when working in a traversal tracking mode, increasing the duty ratio of a PWM signal of a voltage regulation circuit according to a first duty ratio step length, and obtaining the output power of a photovoltaic module until the output voltage of the photovoltaic module reaches a first voltage; increasing the duty ratio of the PWM signal of the voltage regulation circuit according to a second duty ratio step length, and obtaining the output power of the photovoltaic module until the output voltage of the photovoltaic module meets any condition in the condition set; and determining the working point corresponding to the maximum output power of the photovoltaic module obtained in the traversal tracking mode as the maximum power point of the photovoltaic module. A larger first duty ratio step length is adopted for tracking in an area where the maximum power point is not likely to appear, and a smaller second duty ratio step length is adopted for tracking in an area where the maximum power point is likely to appear, so that the tracking precision and the tracking efficiency are balanced.

The invention discloses a maximum power point tracking method and system for a self-adaptive interval of a photovoltaic system, and the method comprises the steps: obtaining the input voltage of each MPPT unit, and comparing the input voltage of each MPPT unit with a preset voltage; if the difference value between the maximum power point and the maximum power point is greater than a preset voltage threshold value, MPPT optimization deviates from the maximum power point, and at the moment, the optimization range of the unbalance voltage should be limited, so that the unbalance voltage is optimized towards the maximum power working voltage; obtaining an input current change parameter of each path of MPPT unit, and adjusting the upper and lower limit values of the optimization voltage according to the current change parameter; and when the current change parameter exceeds a preset threshold value, the optimization voltage is kept unchanged within a certain range. The anti-interference capability of the photovoltaic system can be enhanced, and the stable operation of the photovoltaic system is ensured.

The invention discloses power conversion equipment, a control method thereof and a power generation system, and belongs to the technical field of new energy power generation. The invention provides a control method of power conversion equipment. The power conversion equipment comprises an inverter circuit and n boost circuits connected with the direct current side of the inverter circuit through a direct current bus. The control method comprises the following steps: acquiring the input voltage and power of each boost circuit; when the bus voltage is larger than or equal to a first preset threshold value, the step-up ratio of at least one boost circuit is increased every time until the step-up ratios of all the n boost circuits are adjusted so as to reduce the bus voltage to a second preset threshold value, maximum power point tracking continues to be executed according to the input voltage and power, the number of the boost circuits adjusted every time is smaller than n, and n is a positive integer. According to the control method provided by the invention, the bus voltage of the power conversion equipment can be relatively low, the output power of the power conversion equipment can be relatively high, and the generating capacity is improved.

The invention discloses a maximum power point tracking method and device based on resistance scanning and a medium, and relates to the technical field of solar photovoltaic power generation. The method comprises the following steps: comparing a first voltage change value output by a solar cell panel to be tested with a preset stability criterion until the first voltage change value is smaller than the stability criterion, so as to output a first stable voltage; switching to a next gear adjacent to a preset first resistor gear in the adjustable load module through a band switch execution structure until a stable output voltage corresponding to each gear is obtained; based on the stable output voltage and the resistance gear resistance value corresponding to the stable output voltage, the output power of the to-be-tested solar cell panel of the corresponding gear of the testing device is calculated; and analyzing the output power to obtain the maximum power point of the solar cell panel to be tested. According to the invention, the band switch is used for gear switching, so that the maximum power point of the solar cell panel is positioned at low cost.

The invention discloses a string type optical storage integrated device, a string type optical storage integrated method and a micro-grid system, and relates to the technical field of optical storage. A DC bus; at least one photovoltaic string input module configured to connect a photovoltaic string, perform maximum power point tracking (MPPT) control, and feed output electric energy thereof into the DC bus; the input end of the bidirectional inversion module is connected to the direct-current bus, and the output end of the bidirectional inversion module is configured to be connected to an alternating-current power grid; the energy storage battery cluster consists of a plurality of single batteries which are connected in series and is configured to be directly connected to the direct current bus; the invention discloses a single battery active equalization system. The method has the advantages of being high in system efficiency, high in balancing speed, low in control complexity and excellent in energy quality.

The invention provides an insulation fault detection system and method. The insulation fault detection system comprises a detection unit, a grounding subsystem, a leakage current detection subsystem and a controller. The detection unit is a maximum power point tracking circuit formed by photovoltaic group strings or parallel connection of the photovoltaic group strings. And the grounding subsystem is connected with the positive and negative electrodes of the direct-current bus and the ground and executes positive electrode or negative electrode grounding switching operation. The leakage current detection subsystems are correspondingly arranged on the detection units and used for collecting leakage current. The insulation fault detection system is configured to be capable of forming an independent measurement loop dominated by a current detected unit when executing leakage current collection, the controller receives leakage current values of all the units in sequence based on the independent loop, and through preset numerical value processing, a specific detection unit with an insulation fault can be positioned, and the leakage current values of all the units can be detected. And the approximate position range of the fault photovoltaic module in the detection unit can be further calculated.

The present application relates to a kind of for single lithium battery exchange light double-input charging control method, device and medium, wherein, by detecting the electrical state of alternating current side and photovoltaic side port to determine the working mode, accordingly control corresponding front-stage power circuit alternating current or mixed working mode enable active power factor correction circuit, photovoltaic mode enable photovoltaic maximum power point tracking boost circuit, the output direct current of both is converged to common high-voltage direct current bus;Control bus and the only fixed-frequency resonant type TAB converter between battery works in fixed resonant frequency state, utilize its built-in high-frequency transformer isolation conversion and battery low-voltage side diode rectification clamping processing after output adaptation electric energy;Through the power regulation of front-stage circuit, realize constant-current or constant-voltage charging closed loop.By three-way port architecture and converter multiplexing design, adaptation double-input extreme scene, efficiently solve single lithium battery exchange light double-input charging problem.

This invention relates to the field of new energy power generation control technology, and discloses a state space construction and maximum power point tracking system based on multi-feature information. The system includes: a state vector construction module for constructing the state vector of the current control cycle; a state space mapping module for determining the current unique operating state unit; a candidate interval generation module for generating candidate voltage intervals for the maximum power point; an interval verification and retention module for determining the retained voltage interval for the next control cycle; a target adjustment control module for determining the target voltage and the duty cycle of the next control cycle; a hysteresis boundary determination module for outputting a state hold command or a relocation trigger command; and a lock-and-relocate module for determining the maximum power point lock voltage or triggering relocation. This invention achieves stable tracking and relocation control of the maximum power point under complex operating conditions.

This invention discloses an adaptive maximum power point tracking method, system, and storage medium for solar cells, belonging to the field of photovoltaic power generation technology. The method includes: extracting mechanical correction data and temperature regulation data of the solar cell for the current day according to a preset time slot, and constructing a multi-dimensional feature vector; combining the multi-dimensional feature vector and the corresponding recorded electrical operation data to form the daily operation record; based on the daily operation record, clustering and grouping the multi-dimensional feature vector by fusing the feature distance and time-series distance to obtain multiple control intervals; calculating corresponding control parameters based on the multi-dimensional feature vector and electrical operation data respectively; and upon arrival of the next day, reading the corresponding control parameters according to the control interval to which the current time belongs to complete the tracking of the solar cell's maximum power point. This invention can improve the accuracy of maximum power point tracking.

The invention discloses a maximum power point tracking method, a controller and a power converter, and relates to the technical field of photovoltaic power generation. The maximum power point tracking method comprises the following steps: when the power converter is in a transmission limiting state, judging whether the direct-current bus voltage of the power converter needs to be adjusted or not; if not, performing maximum power point tracking on the power converter based on the DC bus voltage; if yes, the direct-current bus voltage of the power converter is adjusted by increasing the direct-current bus voltage given value; and after the DC bus voltage is stable, performing maximum power point tracking on the power converter based on the DC bus voltage. According to the method, the problem that the power converter cannot track the maximum power point in the transmission limiting state can be solved, so that quick response of MPPT is realized after the transmission limiting state is relieved.

This paper presents a maximum power point tracking (MPPT) method for photovoltaic (PV) cells based on RBFNN and slime mold optimization algorithms, encompassing the fields of PV system control and precision measurement. A multi-level intelligent optimization mechanism is constructed to adapt to complex dynamic lighting conditions. The system distinguishes between sudden and stable lighting conditions through a dynamic lighting filtering mechanism, achieving precise control across different modes. At the moment of sudden lighting changes, a radial basis function neural network is invoked to globally predict the maximum power point, shortening the optimization time. To address temperature drift deviation in sensorless conditions, SMA is introduced for local optimization, locking the maximum power point while ensuring smooth power output through small-radius random exploration. In the steady-state phase, an adaptive step-size perturbation observation method is employed to adapt to stable lighting scenarios. During sudden lighting changes, the optimization time is shortened through the RBFNN's drop-in and the slime mold algorithm's local optimization, resulting in high tracking accuracy, excellent noise resistance and robustness, making it suitable for high-performance PV operation and maintenance and precise cell performance testing.

According to the autonomous power supply intelligent file cabinet based on the radio frequency energy collection energy chip, radio frequency energy in the environment is efficiently collected through a multi-band antenna and the maximum power point tracking control technology, and the problem of continuous power supply of intelligent equipment is effectively solved by combining a hybrid energy storage system formed by a super capacitor and a lithium battery. The system adopts an energy consumption prediction model based on multi-feature linear regression, can accurately predict future energy consumption, intelligently switches power supply paths on the basis of the future energy consumption, remarkably reduces the dependence on external commercial power, and improves the energy utilization efficiency. Meanwhile, the model has a self-learning capability, and prediction precision can be continuously optimized over time. According to the energy-saving file cabinet, intelligence and automation of energy management are achieved, the remarkable energy-saving effect is achieved while stable operation of all functions of the file cabinet is guaranteed, and the energy-saving file cabinet has high economical efficiency and environment friendliness.

This invention discloses a maximum power point tracking (MPPT) control system and method for a pump-driven turbine power generation system. It calculates output power by acquiring DC-side voltage and current, and also acquires rotational speed. Within each MPPT cycle, the operating state is identified by the power-speed slope feature G: when operating conditions change rapidly, the weight of the disturbance observation branch is increased; when approaching the maximum power point, the weight of the adaptive scale fuzzy logic control branch is enhanced. The two branches achieve branch current fusion according to the weights constructed using (|G|), outputting the q-axis stator current increment. A dq current closed loop is used to output a PWM drive signal to control the machine-side converter, adjusting the electromagnetic torque of the permanent magnet synchronous generator, thereby achieving efficient MPPT under time-varying head / flow conditions. This invention relies only on measurable power and speed signals, requiring no precise hydraulic model or data-intensive training, resulting in low computational load, ease of embedded implementation, improved energy recovery efficiency, and suppression of power fluctuations and torque pulsations.

The embodiment of the invention discloses a power converter, an MPPT (maximum power point tracking) method thereof and a photovoltaic system, when MPPT is performed on input of an inversion module in the power converter, voltage variation, namely disturbance step length, is updated in each control period, and specifically, the disturbance step length is updated in each control period. And in the current control period, the input voltage of the inversion module is controlled to have a voltage variation, namely a disturbance step length, relative to the input voltage of the previous control period, and the voltage variation of the current control period is controlled to be in a linear relationship with the input voltage of the previous control period, so that the purpose of adaptively adjusting the disturbance step length is achieved. When the output voltage of the photovoltaic panel, namely the input voltage of the inversion module, is too small in a low-voltage scene, the disturbance step length is relatively small due to the fact that the disturbance step length is in direct proportion to the output voltage of the photovoltaic panel, namely the input voltage of the inversion module, and the static efficiency of MPPT in the low-voltage scene can be effectively improved.

A method for controlling the bus voltage of a photovoltaic system (100). The photovoltaic system (100) includes a DC / DC converter (104) and a DC / AC converter (106). The DC / DC converter (104), the DC / AC converter (106), and an energy storage battery (108) are connected via a bus. The DC / DC converter (104) is connected to a photovoltaic DC source and performs maximum power point tracking (MPPT) on the input power from the photovoltaic DC source. A load (110) connected to the DC / AC converter (106) has a load power. The energy storage battery (108) has a maximum charging power and a maximum discharging power. The method includes controlling the bus voltage in multiple discontinuous voltage ranges based on different results of a comparison between the photovoltaic maximum power and the load power, as well as the maximum charging power and the maximum discharging power. The multiple discontinuous voltage ranges correspond to different operating states of the inverter (120).