TWI410641B - Solar power supply system maximum power tracker verification platform - Google Patents

Abstract

A maximal power tracker validation platform of solar power supply system comprises: a computer having a graphic man-machine interface for user's operation; a testing platform for receiving a solar energy module and providing an illuminance and a temperature; a programmable environment state generation source for driving the testing platform to generate the illuminance and temperature according to a command from the computer; a variable load unit having a programmable load and a maximal power tracker, wherein the variable load unit is used to make the programmable load as the load of the solar energy module or make the serial assembly of the maximal power tracker and the programmable load as the load of the solar energy module; and a multifunctional digital electric meter for measuring the current and voltage of the programmable load and transmitting the current and voltage values to the computer.

Description

Solar power system maximum power tracker verification platform

The present invention relates to solar power systems, and more particularly to a solar power system maximum power tracker verification platform that verifies the performance of a maximum power tracker - to maximize the output power of a solar module.

For the sustainable operation of the earth, how to find alternative energy sources with environmental protection and economic characteristics has become a very important issue for human beings in this century. Alternative energy basically refers to energy other than coal, oil, natural gas, and nuclear energy, including wind, sun, geothermal, hydraulic, tidal, biomass, and fuel cells.

In the alternative energy source, solar energy is not limited by the terrain environment, and unlike fuel cells and biomass, it needs to be produced in a specific way or to refuel at a fixed point. The main source of electricity for solar power systems is solar cells, and a single solar cell cannot be used directly. Many solar cells must be connected in series to form a solar module. Then, multiple solar cells are designed and arranged according to the required system specifications. The solar modules form a solar array to provide sufficient voltage and current.

For solar energy systems, the power generation efficiency is very important. In addition to actively developing solar cells with higher photoelectric conversion efficiency, it is also one of the key points to improve the efficiency of solar cells. The output power of a solar cell depends on the environmental state consisting of the solar illuminance and the temperature of the solar cell itself. In a particular environmental state, the solar cell will have a corresponding optimal operating point (I, V) _OPTIMAL - which provides a corresponding maximum output power, and different environmental conditions will often correspond to different optimal operating points. In order to improve the efficiency of solar cells, the maximum power tracker must be used to adjust the operating point of the solar cell according to external environmental changes. Regarding the maximum power operating point tracking of solar cells, there are many literatures suggesting various methods, but the more common ones are the perturbation and observation algorithm and the incremental conductance algorithm.

In order to verify the performance of the maximum power tracker, the maximum power tracker implemented is generally placed in a solar power generation system, and then the solar power generation system can output the corresponding maximum power in various sunshine conditions. However, in actual testing, we are unable to control environmental parameters such as solar illuminance, tilt angle, and solar module temperature, so that the test conditions are not clear, and whether the maximum power tracker actually tracks the maximum power point is also questionable. In this case, it is impossible to evaluate the performance of the maximum power point tracking algorithm under different environmental parameters, and to compare the advantages and disadvantages of various maximum power tracking algorithms to develop or find the most suitable for a solar power generation. The system's maximum power tracking algorithm.

The main object of the present invention is to provide a maximum power tracker verification platform, which can: provide a plurality of environmental states (each of the environmental states include illumination, tilt angle, and solar module temperature); directly measure a solar module a current-voltage characteristic curve in each of the environmental states to respectively generate respective corresponding maximum power operating points; and measuring power of the solar module under each of the environmental states under the control of a maximum power tracker Outputting and comparing the power output to the maximum power operating point to verify the operating performance of the maximum power tracker.

To achieve the foregoing objectives, the present invention provides a solar power system maximum power tracker verification platform including a test platform, a computer, a programmable environment state generation source, a variable load unit, a multi-function digital meter, And a camera. The test platform is configured to receive a solar module and generate a source according to the command of the programmable environment state to set an illuminance and a temperature; the computer has a graphical human-machine interface for the user to operate; The programmable environment state generating source can drive the test platform to generate the illuminance and temperature according to the command of the computer; the variable load unit is coupled to the solar module and the computer and has a switch circuit and a a program load, and a maximum power tracker, wherein the switch circuit is configured to couple the solar module directly to the programmable load, or to cause the solar module and the maximum power tracker to be coupled with the programmable load Connected to the combination; the multi-function digital meter is used to measure the current and voltage of the programmable load, and transmit the current and voltage values to the computer; and the camera is used to transmit the image of the verification platform To the computer to facilitate the user to monitor the operation of the entire verification platform.

During operation, the user can: set the environmental state of the solar module and the load value of the programmable load by using the graphical human-machine interface; and switch the load of the solar module through the switch circuit - Combining the programmable load or the maximum power tracker with the programmable load; and measuring the current and voltage of the programmable load by using the multi-function digital meter to obtain the solar module in each environmental state respectively a maximum power operating point, and a power output of the solar module under the control of the maximum power tracker in each of the environmental states to verify the feasibility and accuracy of the maximum power tracking control law, and To compare the performance of different maximum power tracking control rules to study the optimal maximum power tracking control law.

The detailed description of the drawings and the preferred embodiments are set forth in the accompanying drawings.

Please refer to FIG. 1 , which is a schematic diagram of a preferred embodiment of a maximum power tracker verification platform for a solar power supply system according to the present invention. As shown in FIG. 1 , the verification platform includes: a rack 10 , a computer 20 , a motor 30 , a programmable environment state generating source 40 , at least one light source 50 , at least one sensing device 60 , and a programmable load 70. A multi-function digital meter (DMM) 90, a camera 100, a data capture card 110, a maximum power tracker 120, and switches 121, 122.

The rack 10 has a platform 11 such as, but not limited to, a two-axis test platform for placing at least one solar cell module 80 to be tested, and the rack 10 further has a plurality of brackets 12, and each A pulley 13 is provided below the bracket 12 to facilitate the movement of the frame 10. The platform 11 is longitudinally rotatable by control of the motor 30. In addition, the rack 10 is specially designed according to the size of the solar cell module 80, and can be controlled by three axes, including the height of the light source, the tilt angle of the solar cell module, and the azimuth angle.

The computer 20 is, for example but not limited to, a personal computer (PC) having a human interface software 21 thereon, which is the brain of the entire control system, and cooperates with the human interface software 21 to control the operation of the entire system. Under software planning, the computer 20 controls the data flow, the operation of the instrument in the command system, receives the measurement data, performs calculations and analysis, verifies whether the measurement reading is valid, performs data storage management, and displays the test results on the screen or Output to other peripheral devices. In addition, the computer 20 further has a GPIB interface and an RS-232 interface (both not shown in FIG. 1).

The motor 30 is coupled to the computer 20, such as but not limited to a stepping motor, to perform the three-axis control of the frame 10 by receiving the driving of the computer 20.

The programmable environmental state generation source 40 is used to generate a desired artificial environmental test source such as, but not limited to, major environmental factors affecting solar cell output characteristics such as illuminance, temperature, tilt angle, and azimuth. The programmable environment state generating source 40 includes: a light source dimming circuit 41; a temperature control circuit 42; and a driving circuit 43. The light source dimming circuit 41 is coupled to the computer 20 to receive the illuminance command sent by the computer 20, and adjusts the output power of the driving circuit and the output illuminance of the light source 50 according to the illuminance command; The control circuit 42 is coupled to the computer 20 for cooperating with the driving circuit 43 to adjust the height of the light source 50 for temperature increase and decrease control; and the driving circuit 43 is coupled to the computer 20, except In addition to the control of the Z-axis direction, the tilt angle and azimuth commands are also accepted to control the motor 30 to adjust the tilt angle and azimuth of the entire test rack 10.

The light source 50 is placed on the frame 10 and is controlled by the computer 20 to output light sources of different illumination to the solar battery module 80 to be tested.

The sensing device 60 is disposed on the frame 10 and coupled to the computer 20 for sensing the illumination produced by the light source 50 and the temperature of the current test environment. The sensing device 60 is, for example but not limited to, an illuminometer or an infrared camera.

The programmable load 70, such as but not limited to an electronic load, has a GPIB interface (not shown) and is coupled to the computer 20 via the GPIB interface. Using the programming method, the load value of the programmable load 70 can be automatically changed to provide different The solar cell module 80 is loaded so that the voltage and current at different operating points on the characteristic curve can be continuously measured.

The multi-function digital meter 90 is coupled to the computer 20 via a GPIB interface (not shown) for measuring the output voltage and current of the solar cell module 80 under different loads and the output to be measured. The voltage and current values are sent back to the computer 20 for storage. After all the test points are completed, the working curve of the solar cell module 80 can be drawn according to the stored reading data, such as but not limited to an IV characteristic curve, a PV characteristic curve, and a characteristic curve of different angles. Part of the shading characteristic curve to find the best working point in various working environments.

The camera 100 is coupled to the computer 20 via a network (not shown) for monitoring whether the hardware device of the entire verification platform is operating normally. When a sudden situation occurs, the user can perform emergency processing from the screen of the computer 20 to avoid disaster, and the camera 100 can also detect the defective product.

The data capture card 110 is a bridge between the multi-function digital meter 90 and the camera 100 and the computer 20. The communication interface of different instruments and equipment is different, but as long as the communication protocol is known, or provided by the instrument The software driver can control each instrument through the written human interface software 21.

The maximum power tracker 120 is used to maximize the output power of the solar cell module 80 under various working environments, and the performance of the solar cell module 80 can be evaluated in the verification platform - the solar cell module 80 is in various The output power in the working environment can be compared to the best operating points previously measured to verify its performance.

The switches 121, 122 are used to switch the load of the solar cell module 80 - which may be a serial combination of the programmable load 70 or the maximum power tracker 120 and the programmable load 70.

In operation, the solar cell module 80 is first placed on the platform 11, followed by the environmental condition setting to be tested, including the illumination, temperature, and angle settings; after the test program is set, the programmable environment state generation source 40 will generate the desired test source according to the command. If the generated test source is incorrect, it needs to be recalibrated to correct until the test source is accurate. The switches 121 and 122 set the load of the solar battery module 80 to the programmable load 70. After a short delay to stabilize the output response of the solar cell module 80, the output voltage and current can be measured little by little, and finally the IV characteristic curve, the PV characteristic curve, the PV characteristic curve, the set illumination, the angle, the temperature, and the Characteristic curves of different angles and partial shading characteristic curves to find the optimal working point in various working environments and display or store printing on the human-machine interface software 21.

Then, the switches 121 and 122 are set such that the load of the solar battery module 80 is a serial combination of the maximum power tracker 120 and the programmable load 70, and the solar battery module 80 is measured by the multi-function digital meter 90. Load output power. The output power of the maximum power tracker 120 in various operating environments can be compared to previously optimized operating points to verify its performance.

Please refer to FIG. 2 , which is a flow chart of the operation of the verification platform of FIG. 1 . As shown in FIG. 2, the operation flow includes: initialization and self-test (step a); setting a test program (step b); generating a test environment (step c); measuring a characteristic curve (step d); testing a maximum power tracker (Step e); and calculate the maximum power tracker accuracy (step f).

In step a, in order to ensure the reliability and accuracy of the measurement data, it is necessary to wait until all instruments and equipment in the system have been tested before proceeding to step b.

In step b, by setting the test program on the man-machine interface, including the setting of the number of test points, and the measurement settings of different characteristic curves, there are mainly two types: IV characteristic curve and PV characteristic curve, followed by the required test environment. Condition setting, including illuminance, temperature and angle settings.

In step c, the programmable environment state generation source 40 generates a desired test environment according to the program settings. If the generated test environment is incorrect, it is necessary to recalculate and correct the test environment until the test environment is accurate.

In step d, after the short delay is used to stabilize the output response of the solar cell module 80, the output voltage and current can be measured, and finally the IV characteristic curve and the PV characteristic curve of the set illumination, angle, temperature, and the curve can be drawn. Display or save prints on the display unit.

In step e, the same environment as the test solar cell module 80 must be used to ensure that the output is correct.

In step f, the maximum power point is found from the measurement result storage obtained in step d and compared with the measurement result of step e to calculate the accuracy of the maximum power tracker. The result can also be displayed or stored on the human machine interface for printing.

In the modeling of characteristic parameters of solar cells, in most applications, the equivalent circuit using a single diode model is sufficient, but the more accurate equivalent circuit model can more accurately describe the electrical characteristics of solar cells, especially To study a wide range of operating conditions. In actual solar cells, the charge carriers cause a voltage drop between the semiconductor junction and the external contact path. A series resistor R _S can be used to describe the voltage drop effect. In addition, a parallel resistor R can be used. _P describes the leakage current effect at the edge of the solar cell. Figure 3 shows an equivalent circuit model containing the two resistors. R _S is about a few mΩ in an actual solar cell, and R _P usually has a higher value.

From Figure 3, according to Kirchhoff's current law, I _{ph -} I _{D -} I _{P -} I = 0, where I _P = V _D / R _P = (V + IR _S ) / R _P ,

I _D =I _S (EXP[(V+IR _S )/nV _T ]-1), ie I=I _ph -IS(EXP[(V+IR _S )/nV _T ]-1)-(V+ IR _S )/R _P (1)

Among them, R _S : 串联 internal resistance and electrode resistance and other series equivalent resistance, the larger the R _S resistance, the smaller the output short-circuit current, but almost no impact on the open circuit voltage of the output; R _P : various reasons The parallel equivalent resistance is caused by the incomplete connection, and the larger the R _P resistance, the smaller the open circuit voltage of the output will not affect the short circuit current of the output. To describe the solar cell characteristics using equation (1), it is necessary to know five important parameters, namely I _ph , I _S , n, R _P , and R _S , using the solar cell characteristic automatic measurement system proposed by the present invention. The steps to estimate the five important parameters are shown in Figure 4:

1.) Under the illuminance and temperature conditions to be operated, the personal computer 20 controls the programmable environment state generating source 40 to generate a test source required for inputting the command, and tests the voltage and current under the operating condition through the set of measuring system ( IV) Characteristic curve, as shown in Figure 5.

2.) Take out the specific 5 points from the curve as shown in Figure 5. Short-circuit current point P _sc (I _sc , 0), V _oc /2 point P _i (I _i , V _i ), maximum power point P _mp (I _Mp , V _mp ), P _k (I _k , V _k ) point, open circuit voltage point P _oc (O, V _oc ), where

V _i =V _oc /2 (2)

V _k =(V _mp +V _oc )/2 (3)

And use five specific points to calculate the five parameters of the single diode mathematical model (equation (1)) for this operation.

I _ph ≒I _sc

R _S =(V _oc -V _k )/I _k =(V _oc -V _mp )/2I _k

R _P =V _i /(I _sc -I _i )=V _oc /2(I _sc -I _i )

I _S =(I _sc -V _oc /R _P )/(EXP[V _oc /nN _s V _T ]-1)

n=k _i I _ph +k _c =-0.229I _ph +2.275 (4)

Where I _s is the diode saturation current, N _s is the PV module cell series number, n is the diode ideality factor, and the ideal factor is related to the photocurrent I _ph (≒I _sc ). For the solar module tested (SANYO HIP-210NHE1), the n, I _ph relationship is shown in Fig. 6, and the relationship constants k _i and k _{c are} as shown in equation (4).

3.) After obtaining the five parameters (I _ph , R _S , R _P , I _s , n) in the case of the operation, equation (1) can be substituted to obtain a single diode of the PV module. mathematical model.

In linear system electrical equipment, in order to obtain maximum power for the load, proper load matching is usually performed so that the load resistance is equal to the internal resistance of the power supply system, and the load can obtain the maximum power. Consider Figure 7 for a simplified circuit of the system, assuming that the output impedance of the solar module is R _pv and the equivalent impedance of the load is R _L .

Because the load power P _L is

P _L =I ² R _L =V _S ² R _L /(R _pv +R _L ) ² (5)

Will occur when the output power is maximum P _L / R _L =0, ie

P _L / R _L =V _S ² (R _pv -R _L )/(R _pv +R _L ) ³ =0 (6)

Therefore, from equation (6), when R _pv = R _L , the output power will be the largest. However, for solar cells, since the output power of the solar cell depends on the intensity of the solar illuminance and the temperature of the solar cell itself, it is not fixed at the same point, but is changed at any time, plus the output load impedance in the system. It is fixed at the time of design. If the solar cell is directly connected to the load, the maximum efficiency of the solar cell must not be obtained, resulting in partial energy loss. So we designed a DC converter to convert the maximum power of the solar cell to the load end. Here, we design a boost converter to connect with the solar module. By adjusting the duty ratio (D), we can change the input impedance of the converter to make the solar module work. At the maximum power point, the maximum power on the solar module is obtained.

Figure 8 shows a step-up dc-dc converter. When operating in continuous current mode (CCM), its input-input voltage relationship is based on the principle of the volt-second product balance of the inductor.

V _o /V _g =1/(1-D) (7)

Assuming that the converter has no power loss, the input power is equal to the output power P _in =P _o , then the relationship between voltage and current and duty cycle is obtained.

I _o /I _in =V _g /V _o =1-D (8)

For the solar maximum power tracking system, if R _in is the impedance of the solar cell terminal and R _L is a fixed load impedance, it can be obtained by changing the duty cycle D.

R _in =V _g /I _in =V _o (1-D)/[I _o /(1-D)]=R _L (1-D) ² (9)

Therefore, it can be known from equation (9) that in order to obtain the maximum power output of the solar cell, it is only necessary to adjust the duty cycle D of the transistor Q , and the input impedance of the solar cell can be changed to be equal to the load resistance, so that the solar cell can operate at the maximum. Power point. However, for a boost converter, due to the loss effect caused by the inductance, capacitance, switch and parasitic components of the diode during operation, V _o /V _g will decrease when D approaches 1 and In the high duty cycle, the utilization of the switch is quite low.

9 is a block diagram of an embodiment of a maximum power tracker 120 including a digital signal controller dsPIC30F4011 1201, a MOSFET drive isolation circuit 1202, a DC voltage converter 1203, a load current feedback circuit 1204, and a load. Voltage feedback circuit 1205.

The digital signal controller dsPIC30F4011 1201 determines the duty cycle of a PWM signal according to the current and voltage fed back by the load current feedback circuit 1204 and the load voltage feedback circuit 1205 and outputs it to the MOSFET drive isolation circuit 1202.

The MOSFET driving isolation circuit 1202 is coupled between the digital signal controller dsPIC30F4011 1201 and the DC voltage converter 1203 to improve the driving capability while avoiding the short circuit problem caused by the common grounding.

The DC voltage converter 1203 is a boost DC converter for modulating the operating point of the solar cell module 80.

The load current feedback circuit 1204 and the load voltage feedback circuit 1205 are used to feedback the current and voltage of the programmable load 70.

The maximum power tracker 120 of Figure 9 uses a perturbation observation method for maximum power point tracking - it uses the built-in A/D module of the digital signal controller dsPIC30F4011 to extract the load voltage and load current as power. It is judged that the PWM module is used to generate the PWM signal to drive the DC voltage converter 1203, and the duty cycle is adjusted according to the power level. Figure 10 shows the flow chart of the disturbance observation program, which includes: initialization (step 1); setting the duty cycle (DUTY) = 20% and outputting a PWM signal (step 2); reading the voltage and current and setting it Is V ₀ , I ₀ (step 3); calculate P ₀ =V ₀ *I ₀ (step 4); increase DUTY by 0.5% (step 5); read voltage and current and set it to V ₁ , I ₁ (Step 6); calculate P ₁ = V ₁ * I ₁ (Step 7); and dynamically adjust DUTY (Step 8).

In operation, the maximum power tracker 120 changes the output voltage and output current of the solar cell by continuously increasing or decreasing the DUTY size, and measures and compares the output power before and after the DUTY change to determine the next step. action. Assuming that the output power after the change is larger than the original output power, the DUTY continues to fluctuate in the same direction; if the output power is smaller than before the change, it means that the direction of the DUTY change needs to be changed. The disturbance, measurement and comparison are repeated in such a way that the output of the solar cell module 80 reaches the maximum power point.

In order to enable users to get started quickly, a user-friendly and modern operation interface is a must. The present invention uses LabVIEW to write system control programs and human-machine interfaces. LabVIEW uses engineering-specific terminology, and its content and ideas are similar to professional simulation programs. The program flow uses the concept of "data flow" to break the traditional thinking mode, which allows the programmer to complete the flow chart concept. The writing of the program can complete the establishment of the system in a short time. In the LabVIEW environment, the user interface of the Virtual Instrument (VI) concept can be easily established. LabVIEW also integrates all hardware communication interfaces, including GPIB, RS-232, RS-485, and USB. , TCP, DAQ card, etc.

Figure 11 shows the main page of the operation setting of the system, which is mainly divided into five human-machine interfaces, which are a setting page, a measurement page, a temperature compensation page, a reading page, and a tracker page. Users can switch between different pages through the five buttons at the top of the screen. In the setting page section, it includes system time, live screen, storage experiment data related settings, environment generation source related settings and related communication settings of the instrument used; in the system measurement page, it can input the model type and related data of the module to be tested. The measurement system related environmental parameters, characteristic curves and measurement results and the calculation of related calculation values; the function of the temperature compensation page is to use the parameters of the solar cell module given by the factory to calculate the parameter changes caused by the temperature rise; The stored experimental data can be directly displayed on the screen on the reading page without having to perform another experiment. Finally, the tracker page contains the maximum power tracked and the accuracy of the maximum power tracker. According to the visual human-machine interface adopted by the invention, the operator can clearly understand various functions in the system, thereby performing operations quickly and easily.

The disclosure of the present invention is a preferred embodiment. Any change or modification of the present invention originating from the technical idea of the present invention and being easily inferred by those skilled in the art will not deviate from the scope of patent rights of the present invention.

In summary, this case, regardless of its purpose, means and efficacy, is showing its technical characteristics that are different from the conventional ones, and its first invention is practical and practical, and it is also in compliance with the patent requirements of the invention. I will be granted a patent at an early date.

10. . . frame

11. . . platform

12. . . support

13. . . pulley

20. . . computer

twenty one. . . Human machine interface software

30. . . motor

40. . . Programmable environment state generation source

41. . . Light source dimming circuit

42. . . Temperature control circuit

43. . . Drive circuit

50. . . Light source

60. . . Sensing device

70. . . Programmable load

80. . . Solar battery module

90. . . Multi-function digital meter

100. . . camera

110. . . Data capture card

120. . . Maximum power tracker

121, 122. . . switch

1201. . . Digital signal controller dsPIC30F4011

1202. . . MOSFET drive isolation circuit

1203. . . DC voltage converter

1204. . . Load current feedback circuit

1205. . . Load voltage feedback circuit

1 is a schematic diagram of a preferred embodiment of a solar power system maximum power tracker verification platform of the present invention.

2 is a flow chart showing the operation of the verification platform of FIG. 1.

FIG. 3 illustrates an equivalent circuit model including two resistors.

Figure 4 illustrates the modeling architecture of the solar module's characteristic parameters.

FIG. 5 illustrates an I-V characteristic curve.

Figure 6 shows an nI _ph relationship.

Figure 7 shows a simplified model of the system.

FIG. 8 is a circuit diagram of a boost type dc-dc converter.

Figure 9 is a block diagram of a maximum power tracker system.

FIG. 10 is a flow chart showing a disturbance observation algorithm.

Figure 11 is a diagram showing the main page of the operation and setting of the system of the present invention.

10. . . frame

11. . . platform

12. . . support

13. . . pulley

20. . . computer

twenty one. . . Human machine interface software

30. . . motor

40. . . Programmable environment state generation source

41. . . Light source dimming circuit

42. . . Temperature control circuit

43. . . Drive circuit

50. . . Light source

60. . . Sensing device

70. . . Programmable load

80. . . Solar battery module

90. . . Multi-function digital meter

100. . . camera

110. . . Data capture card

120. . . Maximum power tracker

121, 122. . . switch

Claims (9)

A solar power supply system maximum power tracker verification platform, comprising: a computer having a graphical human-machine interface for user operation; a test platform for accommodating a solar module and providing an illumination and a temperature; a programmable environment state generating source for driving the test platform to generate the illuminance and temperature according to a command of the computer; a variable load unit coupled to the solar module and the computer, having a switch circuit, a programmable load and a maximum power tracker, wherein the switch circuit is configured to make the programmable load a first load of the solar module or to combine the maximum power tracker with the programmable load a second load of the solar module; and a multi-function digital meter for measuring the current and voltage of the programmable load, and transmitting the current and voltage values to the computer to find the solar module a first optimal operating point corresponding to the first load coupled to the illuminance and temperature, and the solar module is coupled to the first illuminance and temperature Second optimal operating point corresponding to the load, and to verify the performance of the maximum power point tracking control by the difference of said first and said second optimum operating point of optimum operating point. The solar power supply system maximum power tracker verification platform according to claim 1, wherein the computer further has a data capture card. The solar power system maximum power tracker verification platform according to claim 1, wherein the test platform has a motor, a light source, and a sensing device. The solar power supply system maximum power tracker verification platform according to claim 3, wherein the motor is a stepping motor. The solar power supply system maximum power tracker verification platform according to claim 3, wherein the sensing device is an illuminometer or an infrared camera. The solar power supply system maximum power tracker verification platform according to claim 1, wherein the programmable environment state generating source has a light source dimming A circuit, a temperature control circuit, and a motor drive circuit. The solar power supply system maximum power tracker verification platform according to claim 1, further comprising a camera for transmitting the image of the verification platform to the computer for the user to monitor the operation of the entire verification platform. situation. For example, the solar power supply system maximum power tracker verification platform described in claim 1 is wherein the graphical human-machine interface is a LabVIEW program. For example, the solar power supply system maximum power tracker verification platform described in claim 1 is wherein the communication interface of the computer is GPIB, RS-232, RS-485, USB, TCP, or DAQ card.