387 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 discloses a control method for a photovoltaic hybrid inverter, and the method comprises the steps: controlling an inversion unit to apply an AC voltage test signal with a preset frequency and / or a preset voltage value to the output end of the inversion unit under a no-load condition, and maintaining a maximum power point tracking module to work, so as to provide electric energy for a DC bus; judging whether the photovoltaic hybrid inverter is in a weak light state or not based on the first voltage of the direct current bus and a preset voltage threshold value; when the photovoltaic hybrid inverter is in a weak light state, the alternating current side relay is kept disconnected; and after a preset delay time, applying the AC voltage test signal to the output end of the inversion unit again, and maintaining the maximum power point tracking module to work so as to re-judge whether the photovoltaic hybrid inverter is in the weak light state or not until the photovoltaic hybrid inverter is not in the weak light state. And issuing a pull-in instruction to the alternating current side relay to control the inverter unit to operate in a grid-connected manner. And the relay is prevented from being frequently triggered to be closed when the illumination is insufficient.

The invention discloses a photovoltaic optimization regulation and control method and device based on an MPPT technology, and particularly relates to the technical field of photovoltaic power generation control, and the method specifically comprises the following steps: S1, full-link operation state synchronous collection, S2, DC bus ripple feature extraction, S3, multi-source disturbance quantitative evaluation, S4, cooperative control parameter decision making, and S5, grid-connected signal synthesis modulation. A multi-source disturbance quantitative evaluation system is adopted, the irradiance change gradient, the frequency ratio and the switching noise contribution ratio are subjected to multi-dimensional fusion, a dynamic weight distribution mechanism is established, and parallel optimization of MPPT mode selection, disturbance step length adjustment and PWM phase shift angle is achieved through a cooperative control parameter decision architecture. A response delay bottleneck existing in a traditional serial decision mode is broken through, and a ripple compensation component is dynamically injected while stable output of fundamental current is maintained based on a grid-connected signal modulation strategy of vector synthesis.

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

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

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

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

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 invention relates to the technical field of photovoltaic power generation system control, and provides an MPPT control method and system based on an adaptive fuzzy neural network, and the method comprises the steps: synchronously collecting voltage, current, illumination and temperature signals, and generating original sensing data; transmitting the generated original sensing data to a memory mapping area through a hardware channel; sensing data is obtained from the memory mapping area, calculation is executed, a power variation and an illumination variation are predicted, a fuzzy reasoning algorithm is operated based on the power variation and the illumination variation, and a power point decision scheme is obtained; a fuzzy rule is updated based on the predicted power variation and illumination variation, the updated fuzzy rule is fed back to the dual-core heterogeneous processor in real time, and fuzzy reasoning logic is optimized; and driving the four-phase interlaced power topological structure to work in an interlaced manner according to the power point decision scheme so as to realize maximum power point tracking. According to the invention, rapid tracking and high-precision stable control of the maximum power point of the photovoltaic array in a complex environment can be realized.

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.

The invention relates to the field of composting management systems, and particularly discloses an alpine region aerobic composting system and method based on light storage and energy supply integration, the system comprises a composting barrel main body, the composting barrel main body is internally provided with a heating unit, a temperature sensor and a ventilation pipeline, and the bottom of the composting barrel main body is provided with a discharge port; the photovoltaic power generation module is used for converting solar energy into light energy; the inverter module is electrically connected with the photovoltaic power generation module, has an MPPT (maximum power point tracking) function and is used for converting direct-current electric energy input by the photovoltaic power generation module into first current or second current, and the first current is used for directly supplying power to the heating unit; the sodium ion battery energy storage module is mounted on the side surface of the composting barrel main body and is used for receiving the second current as charging current or outputting third current to supply power to the heating unit. By adopting the technical scheme provided by the invention, the aerobic composting maturity of the alpine region can be improved, and the operation cost is relatively low.

The invention relates to the technical field of garden mechanical energy management, in particular to a hay mower hybrid power management system integrating solar energy and electric energy, which comprises a solar power generation module, a storage battery energy storage module, a power control unit, a working condition monitoring module, a power supply switching module, a man-machine interaction module and a self-adaptive power distribution strategy module. According to the hay mower hybrid power management system integrating solar energy and electric energy, through the photovoltaic panel angle self-adjusting mechanism, the angle of the solar cell panel can be adjusted in real time so as to adapt to the incident light of the sun, and the maximum power point is combined with the photovoltaic controller to track the photovoltaic controller, so that the solar power generation loss is reduced; the self-adaptive power distribution strategy can dynamically distribute power supply proportion according to load and solar energy output, avoid electric energy waste, reduce dependence on a storage battery, realize intelligent complementary power supply of solar energy and electric energy, switch power supply modes according to different illumination and battery states, avoid endurance interruption caused by illumination fluctuation or load change, and improve operation continuity.

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.

The invention relates to the technical field of control methods and systems of photovoltaic grid-connected inverters, discloses a control method and system of a photovoltaic grid-connected inverter, and aims to solve the problems of maximum power point tracking, electric energy quality and system stability collaborative optimization of an inverter under a dynamic working condition in the prior art. According to the method and system, multi-dimensional data are collected in real time, and a space-time irradiance map is predicted based on image data; performing disturbance identification on power grid impedance; generating a global maximum power point voltage track in combination with irradiance prediction; and a multi-target model prediction control framework is constructed, and a system model containing power grid impedance is used for prediction. Through adoption of the technical scheme, prospective tracking of the global optimal power point is realized, the characteristics of the power grid are sensed in real time so as to adaptively guarantee the system stability and the electric energy quality, the power benefit, the electric energy quality, the system stability and the service life of devices are cooperatively optimized, and the comprehensive performance and the environmental adaptability of the system are remarkably improved.

The invention relates to the field of direct-current energy taking, in particular to a steel rail potential direct-current energy taking device and method applied to subway sensor power supply. In order to solve the problems of sensor power supply in a subway direct-current power supply system, for example, cable laying is difficult, battery maintenance cost is high, and environment energy collection is limited, the device utilizes steel rail potential to carry out efficient energy collection. The device comprises a main power module and a control module, wherein the main power module comprises a rectifier bridge, a double-MOSFET structure, a voltage-stabilizing filter capacitor Cbus and an energy collector; and the control module executes a maximum power point tracking strategy through the voltage measurement interface and the grid control interface. The strategy comprises a periodic open-circuit voltage acquisition stage, an optimal voltage regulation stage and a voltage holding stage, the input voltage is stabilized at 1 / 2 of the open-circuit voltage by controlling the on-off state of the double MOSFETs, and the Cbus voltage is dynamically maintained to fluctuate around the optimal reference voltage by + / -5%. Stable and efficient power supply is realized, and the maintenance cost is reduced.

The invention provides a photovoltaic maximum power point tracking strategy under high-energy-consumption production line pulse bus voltage, and relates to the technical field of optical storage power sources. According to the invention, when an access point of a power supply system of a high-energy-consumption production line load, which accesses a light storage, is a bus with voltage pulsation after being rectified by a multi-pulse thyristor, the first DC / DC converter for a photovoltaic array is merged into the bus with pulsating voltage through a control algorithm. And meanwhile, through closed-loop control of the current waveform injected into the bus by the first DC / DC converter, MPPT control of the photovoltaic array under the pulsating bus voltage is realized.

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 polling type microbial fuel cell energy collection device with multichannel independent maximum power tracking, which takes a microbial fuel cell as an energy source and performs independent maximum power point tracking on each microbial fuel cell accessed into a system by using a polling working mode. Therefore, the overall output power of the microbial fuel cell is improved, and the conversion efficiency is improved.

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.