TWI493317B - Solar power generation devices, solar power generation methods, maximum power tracking module and maximum power tracking control method - Google Patents

Description

Solar power generation device, solar power generation method, maximum power Tracking module and maximum power tracking control method

The invention relates to a device, a method, and a module, in particular to a solar power generation device, a solar power generation method, a maximum power tracking module and a maximum power tracking control method.

With the rise of environmental awareness, solar energy, one of the green energy sources, has gradually gained attention in its application. The use of solar power has many advantages: it has little impact on the environment, it can be used as a permanent energy source, everywhere, a clean energy that does not cause pollution, and does not increase the earth's heat load. In recent years, advanced countries such as Europe and the United States have been continually investing in solar power generation. For example, in 2010, the global solar power generation capacity was 16.5 GW, of which Germany set a volume of 7.4 GW, ranking first in the world, followed by Italy, the Czech Republic, and Japan. In the United States, the top five markets together account for 79% of the world. In 2011, the global solar power generation capacity was 21.2GW. It is estimated that the global installed capacity of solar power generation will reach 30GW in 2014. Taiwan is located in the subtropical zone and is often exposed to sunshine throughout the year. The use of solar power should be a consideration.

Therefore, the first object of the present invention is to provide a kind of fast The speed output is a solar power generation device that generates a voltage of maximum output power according to the electric energy output by the photoelectric conversion.

Therefore, the solar power generation device of the present invention comprises: a solar panel module for photoelectrically converting sunlight to generate an output voltage; and a maximum power tracking module comprising: a control force generator electrically connecting the solar panel module Detecting the output voltage and an output current related to the output voltage, and calculating a voltage error amount and a power error amount of the output voltage, and substituting a fuzzy rule base operation to obtain a control signal, the fuzzy rule base The formula is:

Wherein, U _FN represents the control signal, x _i represents the voltage error amount, the power error amount, f _Ali (x _i ) represents a attribution function of x _i , w represents a voltage increment for compensating the output voltage, and w ₁ represents the The center of gravity of the attribution function of the voltage increment, Indicates that the maximum value of f _Ali (x _i ) corresponds to the value of the horizontal axis. a parameter indicating a slope of the modulation f _Ali (x _i ), and a pulse width modulator electrically connected to the control force generator to receive the control signal, and outputting a duty cycle proportional to the control signal via the modulation output a pulse width modulation control signal; and a DC converter electrically connecting the solar panel module and the pulse width modulator to receive the output voltage, the pulse width modulation control signal, and adjusting the control signal according to the pulse width The duty cycle is to convert the output voltage to produce a conversion voltage.

A second object of the present invention is to provide a solar power generation method capable of rapidly outputting a voltage which generates a maximum output power from electric energy output according to photoelectric conversion.

Therefore, the solar power generation method of the present invention comprises: (A) photoelectrically converting sunlight to generate an output voltage by using a solar panel module; (B) detecting the output voltage and correlating the output by using a maximum power tracking module. An output current of the voltage; (C) calculating a voltage error amount and a power error amount of the output voltage by using the maximum power tracking module, and substituting into a fuzzy rule base operation to obtain a control signal, the formula of the fuzzy rule base for:

Wherein, U _FN represents the control signal, x _i represents the voltage error amount, the power error amount, f _Ali (x _i ) represents a attribution function of x _i , w represents a voltage increment for compensating the output voltage, and w ₁ represents the The center of gravity of the attribution function of the voltage increment, Indicates that the maximum value of f _Ali (x _i ) corresponds to the value of the horizontal axis. Represents the slope of the modulation parameter f _Ali (x _i) of; (D) using the maximum power point tracking module receiving the control signal, and outputs a duty cycle proportional to a PWM control signal via the control signal modulation And (E) receiving the output voltage, the pulse width modulation control signal by using a DC converter, and converting the output voltage according to a duty cycle of the pulse width modulation control signal to generate a conversion voltage.

A third object of the present invention is to provide a maximum power tracking module that can quickly track the voltage that produces the maximum output power in photoelectric conversion.

Therefore, the maximum power tracking module of the present invention comprises: a control force generator for detecting an output voltage from a solar panel module and an output current associated with the output voltage, and calculating a voltage error amount of the output voltage And a power error amount, and substituted into a fuzzy rule base operation to obtain a control signal, the formula of the fuzzy rule base is:

Wherein, U _FN represents the control signal, x _i represents the voltage error amount, the power error amount, f _Ali (x _i ) represents a attribution function of x _i , w represents a voltage increment for compensating the output voltage, and w ₁ represents the The center of gravity of the attribution function of the voltage increment, Indicates that the maximum value of f _Ali (x _i ) corresponds to the value of the horizontal axis. a parameter indicating a slope of the modulation f _Ali (x _i ); and a pulse width modulator electrically connected to the control force generator to receive the control signal, and outputting a duty cycle proportional to the control signal via the modulation output Pulse width modulation control signal.

A fourth object of the present invention is to provide a maximum power tracking control method that can quickly trace the voltage that produces the maximum output power in photoelectric conversion.

Therefore, the maximum power tracking control method of the present invention comprises: (A) detecting, by a control force generator, an output voltage from a solar panel module and an output current related to the output voltage; (B) utilizing the control force The generator calculates a voltage error amount and a power error amount of the output voltage, and substitutes a fuzzy rule base operation to obtain a control signal. The formula of the fuzzy rule base is:

Wherein, U _FN represents the control signal, x _i represents the voltage error amount, the power error amount, f _Ali (x _i ) represents a attribution function of x _i , w represents a voltage increment for compensating the output voltage, and w ₁ represents the The center of gravity of the attribution function of the voltage increment, Indicates that the maximum value of f _Ali (x _i ) corresponds to the value of the horizontal axis. a parameter indicating a slope of the modulation f _Ali (x _i ); and (C) receiving the control signal by using a pulse width modulator, and outputting a duty cycle proportional to the pulse width modulation control of the control signal via the modulation output Signal.

1‧‧‧ solar panel module

2‧‧‧Maximum power tracking module

21‧‧‧Control force generator

22‧‧‧ Pulse Width Modulator

3‧‧‧DC Converter

4‧‧‧ load

P‧‧‧output power

Output voltage V _S ‧‧‧

I _S ‧‧‧Output current

e _V (k)‧‧‧Voltage error

e _P (k)‧‧‧ power error

△V(k)‧‧‧voltage increment

U _FN ‧‧‧Control signal

V _o ‧‧‧Switching voltage

A‧‧‧ photoelectric conversion steps

B‧‧‧Detection steps

C‧‧‧Operation steps

D‧‧‧Transformation steps

E‧‧‧Generation steps

Other features and advantages of the present invention will be apparent from the embodiments of the present invention. FIG. 1 is a block diagram illustrating a preferred embodiment of the solar power generating apparatus of the present invention; FIG. 2 is a measurement diagram. , illustrating the use of different light source illumination to illuminate a solar panel module of the preferred embodiment, the generated power and corresponding voltage changes; FIG. 3 is a schematic diagram illustrating how the voltage error amount is from the preferred embodiment. Determining a voltage increment with a power error amount; and FIG. 4 is a flow chart illustrating the preferred method of the solar power generation method of the present invention Example.

Referring to FIG. 1, a preferred embodiment of a solar power generation device of the present invention photoelectrically converts sunlight into electrical energy and supplies power to a load 4, and includes a solar panel module 1, a maximum power tracking module 2, and a continuous current conversion. Device 3.

The solar panel module 1 is used for photoelectrically converting sunlight to generate an output voltage V _S .

Referring to FIG. 2, in this embodiment, a 20W solar panel module 1 is used. When the solar panel module 1 is irradiated with illuminances of 276, 731, 1212, and 1585 W/m ² respectively, the illumination of each source is measured and converted into electric energy. The output power P and the corresponding output voltage V _{S respectively} , the solar panel module 1 measure different maximum power points when different light source illuminations, respectively corresponding to different output voltages V _S .

Referring to FIG. 1 and FIG. 3, the maximum power tracking module 2 includes a control force generator 21 and a Pulse-Width Modulation (PWM) 22. The control force generator 21 is electrically connected to the solar panel module 1. The pulse width modulator 22 is electrically connected to the control force generator 21.

Finding a voltage value that compensates for the output voltage V _S of the solar panel module, and setting a voltage error amount to e _V (k)=V _s (k)−V _s (k-1), V _s (k-1), V _s (k) represents the output voltage of time series, respectively. The amount of power error is e _P (k)=P(k)-P(k-1), and P(k-1) and P(k) respectively represent The output power of the time series compensates a voltage increment of the output voltage V _S of the solar panel module 1 by ΔV(k), and the output of the output voltage V _S is V _s (k+1)=V _s (k) + Δ V _s (k). Then, the voltage increment ΔV(k) of the output voltage V _S has the following four states:

State (a), when the voltage error amount e _V (k) is greater than zero and the power error amount e _P (k) is greater than zero, the voltage increment ΔV(k) needs to be greater than zero.

State (b), when the voltage error amount e _V (k) is less than zero and the power error amount e _P (k) is less than zero, the voltage increment ΔV(k) needs to be greater than zero.

State (c), when the voltage error amount e _V (k) is greater than zero and the power error amount e _P (k) is less than zero, the voltage increment ΔV(k) needs to be less than zero.

State (d), when the voltage error amount e _V (k) is less than zero and the power error amount e _P (k) is greater than zero, the voltage increment ΔV(k) needs to be less than zero.

From the analysis of the above four states, it is known that the state of the voltage increment ΔV(k) is determined from the state of the voltage error amount e _V (k) and the power error amount e _P (k).

The DC converter 3 is electrically connected to the solar panel module 1, the pulse width modulator 22, and the load 4.

Referring to FIGS. 1 and 4, the solar power generation apparatus performs a solar power generation method for supplying a voltage of a power up to a maximum power point to the load 4. The solar power generation method includes the following steps:

Step A: The solar panel module 1 is used to photoelectrically convert sunlight to generate the output voltage V _S .

Step B: The maximum power point tracking module using an output current I _S 2 detects the output voltage V _S and the correlation of the output voltage V _S.

Step C: Calculating the voltage error amount e _V (k) of the output voltage V _S and the power error amount e _P (k) by using the maximum power tracking module 2, and substituting into a fuzzy rule base operation to obtain a control signal U _FN , the formula of the fuzzy rule base is:

Wherein, in this example, n=2, x ₁ represents the voltage error amount e _V (k), x ₂ represents the power error amount e _P (k), and f _Al1 (x ₁ ) represents a attribution function of x ₁ , f _Al2 (x ₂ ) represents a attribution function of x ₂ , and w represents the voltage increment ΔV(k) determined by the voltage error amount e _V (k) and the state of the power error amount e _P (k), w ₁ represents the center of gravity of the attribution function of the voltage increment ΔV(k), Indicates that the maximum value of the attribution function f _Ali (x _i ) corresponds to the value of the horizontal axis. A parameter indicating the slope of the modulation attribution function f _Ali (x _i ) is defined for convenience calculation P ₁ =f _Al1 (x ₁ )×f _Al2 (x ₂ ).

The detailed operation of the step C is as follows: refer to Table 1. In this example, the fuzzy rule base has 25 rules indicating the voltage error amount e _V (k), the power error amount e _P (k), and the voltage. The increments ΔV(k) match the 25 states produced. A _{11 is} a fuzzy set of the voltage error amount e _V (k). A _{12 is} a fuzzy set of the power error amount e _P (k). B _{1 is} a fuzzy set of the voltage increment ΔV(k). f _Al1 (x _i ) is the attribution function of the fuzzy set A ₁₁ , f _Al2 (x _i ) is the attribution function of the fuzzy set A ₁₂ , and f _Al1 (x _i ), f _Al2 (xi) are all a Gaussian attribution function. w ₁ is the center of gravity of the attribution function of the fuzzy set B ₁ .

The first rule: When x ₁ (e _V ) is A ₁₁ , indicating a positive value and a large PB1 (Positive Big), x ₂ (e _p ) is A ₁₂ , indicating a positive value and a large PB2, then w (△) V) is B ₁ , indicating a value of positive and large PB3, and P ₁ =f _A11 (x ₁ )×f _A12 (x ₂ ).

The second rule: when x ₁ (e _V ) is A ₂₁ , indicating a positive value and a large PB1, x ₂ (e _p ) is A ₂₂ , indicating a positive value and a small PS2 (Positive Small), then w (△) V) is B ₂ , indicating a value of positive and large PB3, and P ₂ =f _A21 (x ₁ )×f _A22 (x ₂ ).

The third rule: when x ₁ (e _V ) is A ₃₁ , indicating that the value is positive and large PB1, x ₂ (e _p ) is A ₃₂ , indicating that the value is zero ZE2 (Zero), then w(△V) is B ₃ represents a value of positive and medium PM3 (Positive Middle), and P ₃ = f _A31 (x ₁ ) × f _A32 (x ₂ ).

The fourth rule: when x ₁ (e _V ) is A ₄₁ , indicating a positive value and a large PB1, x ₂ (e _p ) is A ₄₂ , indicating a negative value and a small NS2 (Negative Small), then w (△) V) is B ₄ , indicating a value of positive and small PS3, and P ₄ =f _A41 (x ₁ )×f _A42 (x ₂ ).

The fifth rule: when x ₁ (e _V ) is A ₅₁ , indicating a positive value and a large PB1, x ₂ (e _p ) is A ₅₂ , indicating a negative value and a large NB2 (Negative Big), then w (△) V) is B ₅ , indicating that the value is zero ZE3, and P ₅ = f _A51 (x ₁ ) × f _A52 (x ₂ ).

Rule 6: When x ₁ (e _V ) is A ₆₁ , the value is positive and small PS1, x ₂ (e _p ) is A ₆₂ , indicating positive value and large PB2, then w(△V) is B ₆ , the value is positive and large PB3, and P ₆ =f _A61 (x ₁ )×f _A62 (x ₂ ).

The seventh rule: when x ₁ (e _V ) is A ₇₁ , indicating that the value is positive and small PS1, x ₂ (e _p ) is A ₇₂ , indicating that the value is positive and small PS2, then w(△V) is B ₇ , indicating a value of positive and medium PM3, and P ₇ =f _A71 (x ₁ )×f _A72 (x ₂ ).

The eighth rule: when x ₁ (e _V ) is A ₈₁ , indicating that the value is positive and small PS1, x ₂ (e _p ) is A ₈₂ , indicating that the value is zero ZE2, then w(△V) is B ₈ . The value indicated is positive and small PS3, and P ₈ = f _A81 (x ₁ ) × f _A82 (x ₂ ).

Rule 9: When x ₁ (e _V ) is A ₉₁ , the value is positive and small PS1, x ₂ (e _p ) is A ₉₂ , indicating that the value is negative and small NS2, then w(△V) is B ₉ , indicating that the value is zero ZE3, and P ₉ =f _A91 (x ₁ )×f _A92 (x ₂ ).

Tenth rule: When x ₁ (e _V ) is A ₁₀₁ , indicating that the value is positive and small PS1, x ₂ (e _p ) is A ₁₀₂ , indicating that the value is negative and large NB2, then w(△V) is B ₁₀ , the value is negative and small NS3, and P ₁₀ = f _A101 (x ₁ ) × f _A102 (x ₂ ).

Eleventh rule: When x ₁ (e _V ) is A ₁₁₁ , the value is zero ZE1, and x ₂ (e _p ) is A ₁₁₂ , indicating that the value is positive and the large PB2, then w(△V) is B ₁₁ , indicating a value of positive and medium PM3, and P ₁₁ =f _A111 (x ₁ )×f _A112 (x ₂ ).

Rule 12: When x ₁ (e _V ) is A ₁₂₁ , the value is zero ZE1, and x ₂ (e _p ) is A ₁₂₂ , indicating that the value is positive and small PS2, then w(△V) is B ₁₂ , indicates that the value is positive and small PS3, and P ₁₂ =f _A121 (x ₁ )×f _A122 (x ₂ ).

Rule 13: When x ₁ (e _V ) is A ₁₃₁ , the value is zero ZE1, x ₂ (e _p ) is A ₁₃₂ , indicating that the value is zero ZE2, then w(△V) is B ₁₃ , indicating The value is zero ZE3, and P ₁₃ = f _A131 (x ₁ ) × f _A132 (x ₂ ).

Rule 14: When x ₁ (e _V ) is A ₁₄₁ , the value is zero ZE1, and x ₂ (e _p ) is A ₁₄₂ , indicating that the value is negative and small NS2, then w(△V) is B ₁₄ , indicates that the value is negative and small NS3, and P ₁₄ = f _A141 (x ₁ ) × f _A142 (x ₂ ).

Fifteenth rule: When x ₁ (e _V ) is A ₁₅₁ , indicating that the value is zero ZE1 and x ₂ (e _p ) is A ₁₅₂ , indicating that the value is negative and large NB2, then w(ΔV) is B ₁₅ , indicating a value of negative and medium NM3 (Negative Middle), and P ₁₅ =f _A151 (x ₁ )× f _A152 (x ₂ ).

Sixteenth rule: When x ₁ (e _V ) is A ₁₆₁ , indicating that the value is negative and small NS1, x ₂ (e _p ) is A ₁₆₂ , indicating that the value is positive and large PB2, then w(△V) is B ₁₆ represents a value of positive and small PS3, and P ₁₆ =f _A161 (x ₁ )×f _A162 (x ₂ ).

Rule 17: When x ₁ (e _V ) is A ₁₇₁ , indicating that the value is negative and small NS1, x ₂ (e _p ) is A ₁₇₂ , indicating that the value is positive and small PS2, then w(△V) is B ₁₇ represents a value of zero ZE3, and P ₁₇ =f _A171 (x ₁ )×f _A172 (x ₂ ).

Eighteenth rule: When x ₁ (e _V ) is A ₁₈₁ , indicating that the value is negative and small NS1, x ₂ (e _p ) is A ₁₈₂ , indicating that the value is zero ZE2, then w(△V) is B ₁₈ , indicates that the value is negative and small NS3, and P ₁₈ = f _A181 (x ₁ ) × f _A182 (x ₂ ).

Rule 19: When x ₁ (e _V ) is A ₁₉₁ , the value is negative and small NS1, x ₂ (e _p ) is A ₁₉₂ , indicating that the value is negative and small NS2, then w(△V) is B ₁₉ represents a value of negative and medium NM3, and P ₁₉ =f _A191 (x ₁ )×f _A192 (x ₂ ).

The twentieth rule: When x ₁ (e _V ) is A ₂₀₁ , indicating that the value is negative and small NS1, x ₂ (e _p ) is A ₂₀₂ , indicating that the value is negative and the large NB2, then w(△V) is B ₂₀ , indicating that the value is negative and large NB3, and P ₂₀ =f _A201 (x ₁ )×f _A202 (x ₂ ).

Rule 21: When x ₁ (e _V ) is A ₂₁₁ , indicating that the value is negative and large NB1, x ₂ (e _p ) is A ₂₁₂ , indicating positive value and large PB2, then w(△V) Is B ₂₁ , indicating that the value is zero ZE3, and P ₂₁ = f _A211 (x ₁ ) × f _A212 (x ₂ ).

Twenty-second rule: When x ₁ (e _V ) is A ₂₂₁ , indicating that the value is negative and large NB1, x ₂ (e _p ) is A ₂₂₂ , indicating that the value is positive and small PS2, then w(△V) For B ₂₂ , the value is negative and small NS3, and P ₂₂ =f _A221 (x ₁ )×f _A222 (x ₂ ).

Rule 23: When x ₁ (e _V ) is A ₂₃₁ , the value is negative and the big NB1, x ₂ (e _p ) is A ₂₃₂ , indicating that the value is zero ZE2, then w(△V) is B ₂₃ , indicating a value of negative and medium NM3, and P ₂₃ =f _A231 (x ₁ )×f _A232 (x ₂ ).

Rule 24: When x ₁ (e _V ) is A ₂₄₁ , the value is negative and the big NB1, x ₂ (e _p ) is A ₂₄₂ , indicating that the value is negative and small NS2, then w(△V) For B ₂₄ , the value is negative and large NB3, and P ₂₄ = f _A241 (x ₁ ) × f _A242 (x ₂ ).

Rule 25: When x ₁ (e _V ) is A ₂₅₁ , the value is negative and the big NB1, x ₂ (e _p ) is A ₂₅₂ , indicating that the value is negative and the big NB2 is, then w(△V) For B ₂₅ , the value is negative and large NB3, and P ₂₅ = f _A251 (x ₁ ) × f _A252 (x ₂ ).

Referring to FIG. 1 and Table 1, the control force generator 21 continuously detects the output voltage V _S output by the solar panel module 1 and the corresponding output current I _S , and calculates a voltage error amount e of each output. _V (k) and the power error amount e _P (k), and substituted into Equation 1 and Equation 2 to obtain each control signal U _FN relative to each other. The calculation process using Equation 1 and Equation 2 is simple and rapid, and the control signal can be quickly obtained. U _FN .

Step D: Referring to FIG. 1 and FIG. 4, the pulse width modulator 22 receives the control signal U _FN and outputs a pulse width modulation control signal proportional to the control signal U _FN via the modulation output. When the larger the value of the control signal U _FN, the greater the duty cycle of the PWM control signal; and when the value of the control signal U _FN is smaller, the smaller the duty cycle of the PWM control signals.

Step E: 3-DC converter with which receives the output voltage V _S, the PWM control signal, and to output voltage V _S according to the duty cycle of the PWM control signal of a converter converting voltage to generate V _O and output to the load 4.

In summary, the preferred embodiment uses the maximum power tracking module 2 to substitute the detected and calculated voltage error amount e _V (k) and the power error amount e _P (k) into the fuzzy rule base. The equations (1) and (2) are operated, and the pulse width modulation control signal is output, and the DC converter 3 is used to receive the output voltage V _S and the pulse width modulation control signal to generate the conversion voltage V _{O .} Since the calculation process is simple and rapid, the load 4 can be quickly received by the conversion voltage V _O which can generate the maximum power point, so that the object of the present invention can be achieved.

The above is only the preferred embodiment of the present invention, and the scope of the present invention is not limited thereto, that is, the simple equivalent changes and modifications made by the patent application scope and patent specification content of the present invention, All remain within the scope of the invention patent.

1‧‧‧ solar panel module

2‧‧‧Maximum power tracking module

21‧‧‧Control force generator

22‧‧‧ Pulse Width Modulator

3‧‧‧DC Converter

4‧‧‧ load

Output voltage V _S ‧‧‧

I _S ‧‧‧Output current

U _FN ‧‧‧Control signal

V _o ‧‧‧Switching voltage

Claims (10)

A solar power generation device comprising: a solar panel module for photoelectrically converting sunlight to generate an output voltage; a maximum power tracking module comprising: a control force generator electrically connected to the solar panel module for detecting The output voltage and an output current related to the output voltage, and calculating a voltage error amount and a power error amount of the output voltage, and substituting into a fuzzy rule base operation to obtain a control signal, the formula of the fuzzy rule base is: Wherein, U _FN represents the control signal, x _i represents the voltage error amount, the power error amount, f _Ali (x _i ) represents a attribution function of x _i , w represents a voltage increment for compensating the output voltage, and w ₁ represents The center of gravity of the attribution function of the voltage increment, Indicates that the maximum value of f _Ali (x _i ) corresponds to the value of the horizontal axis. a parameter indicating a slope of the modulation f _Ali (x _i ), and a pulse width modulator electrically connected to the control force generator to receive the control signal, and outputting a duty cycle proportional to the control signal via the modulation output a pulse width modulation control signal; and a DC converter electrically connecting the solar panel module and the pulse width modulator to receive the output voltage, the pulse width modulation control signal, and adjusting the control signal according to the pulse width The duty cycle is to convert the output voltage to produce a conversion voltage. The solar power generation device according to claim 1, wherein the voltage error amount and the power error amount are expressed as: e _V (k)=V _s (k)−V _s (k-1) e _p (k) =P(k)-P(k-1) where e _V (k) represents the voltage error amount, and V _s (k-1) and V _s (k) represent the time-order output voltage, e _p ( k) indicates the power error amount, and P(k-1) and P(k) represent the output power of the time series, respectively. The solar power generation device of claim 1, wherein the voltage error amount, the power error amount, and the voltage increment have the following four states: state one: when the voltage error amount is greater than zero, the power error amount is greater than Zero time, the voltage increment needs to be greater than zero; state two: when the voltage error amount is less than zero, the power error amount is less than zero, then the voltage increment needs to be greater than zero; state three: when the voltage error amount is greater than zero When the power error amount is less than zero, the voltage increment needs to be less than zero; and state four: when the voltage error amount is less than zero and the power error amount is greater than zero, the voltage increment needs to be less than zero. A solar power generation method comprising: (A) photoelectrically converting sunlight to generate an output voltage using a solar panel module; and (B) detecting, by the maximum power tracking module, the output voltage and a related one of the output voltages Output current; (C) using the maximum power tracking module to calculate a voltage error amount and a power error amount of the output voltage, and substituting into a fuzzy rule base operation to obtain a control signal, the formula of the fuzzy rule base is: Wherein, U _FN represents the control signal, x _i represents the voltage error amount, the power error amount, f _Ali (x _i ) represents a attribution function of x _i , w represents a voltage increment for compensating the output voltage, and w ₁ represents the The center of gravity of the attribution function of the voltage increment, Indicates that the maximum value of f _Ali (x _i ) corresponds to the value of the horizontal axis. Represents the slope of the modulation parameter f _Ali (x _i) of; (D) using the maximum power point tracking module receiving the control signal, and outputs a duty cycle proportional to a PWM control signal via the control signal modulation And (E) receiving the output voltage, the pulse width modulation control signal by using a DC converter, and converting the output voltage according to a duty cycle of the pulse width modulation control signal to generate a conversion voltage. The solar power generation method according to claim 4, wherein the voltage error amount and the power error amount are expressed as: e _V (k)=V _s (k)−V _s (k−1) e _p (k) =P(k)-P(k-1) where e _V (k) represents the voltage error amount, and V _s (k-1) and V _s (k) represent the time-order output voltage, e _p ( k) indicates the power error amount, and P(k-1) and P(k) represent the output power of the time series, respectively. The solar power generation method according to claim 4, wherein the voltage error The quantity, the amount of power error, and the voltage increment have the following four states: state one: when the voltage error amount is greater than zero, the power error amount is greater than zero, then the voltage increment needs to be greater than zero; state two: when When the voltage error amount is less than zero and the power error amount is less than zero, the voltage increment needs to be greater than zero; state three: when the voltage error amount is greater than zero, the power error amount is less than zero, then the voltage increment is less than Zero; and state four: When the voltage error amount is less than zero and the power error amount is greater than zero, the voltage increment needs to be less than zero. A maximum power tracking module includes: a control force generator for detecting an output voltage from a solar panel module and an output current associated with the output voltage, and calculating a voltage error amount and a power of the output voltage The error amount is substituted into a fuzzy rule base operation to obtain a control signal. The formula of the fuzzy rule base is: Wherein, U _FN represents the control signal, x _i represents the voltage error amount, the power error amount, f _Ali (x _i ) represents a attribution function of x _i , w represents a voltage increment for compensating the output voltage, and w ₁ represents the The center of gravity of the attribution function of the voltage increment, Indicates that the maximum value of f _Ali (x _i ) corresponds to the value of the horizontal axis. a parameter indicating a slope of the modulation f _Ali (x _i ); and a pulse width modulator electrically connected to the control force generator to receive the control signal, and outputting a duty cycle proportional to the control signal via the modulation output Pulse width modulation control signal. The maximum power tracking module according to claim 7, wherein the voltage error amount and the power error amount are: e _V (k)=V _s (k)−V _s (k−1) e _p ( k)=P(k)-P(k-1) where e _V (k) represents the voltage error amount, and V _s (k-1) and V _s (k) represent the time-order output voltage, respectively. _p (k) represents the power error amount, and P(k-1) and P(k) represent the output power of the time series, respectively. The maximum power tracking module of claim 7, wherein the voltage error amount, the power error amount, and the voltage increment have the following four states: state one: when the voltage error amount is greater than zero, the power error When the quantity is greater than zero, the voltage increment needs to be greater than zero; state 2: when the voltage error amount is less than zero, the power error amount is less than zero, then the voltage increment needs to be greater than zero; state three: when the voltage error amount If the power error amount is greater than zero, the voltage increment needs to be less than zero; and state four: when the voltage error amount is less than zero and the power error amount is greater than zero, the voltage increment needs to be less than zero. A maximum power tracking control method comprising: (A) detecting, by a control force generator, an output voltage from a solar panel module and an output current associated with the output voltage; (B) calculating by using the control force generator A voltage error amount and a power error amount of the output voltage are substituted into a fuzzy rule base operation to obtain a control signal, and the formula of the fuzzy rule base is: Wherein, U _FN represents the control signal, x _i represents the voltage error amount, the power error amount, f _Ali (x _i ) represents a attribution function of x _i , w represents a voltage increment for compensating the output voltage, and w ₁ represents the The center of gravity of the attribution function of the voltage increment, Indicates that the maximum value of f _Ali (x _i ) corresponds to the value of the horizontal axis. a parameter indicating a slope of the modulation f _Ali (x _i ); and (C) receiving the control signal by using a pulse width modulator, and outputting a duty cycle proportional to the pulse width modulation control of the control signal via the modulation output Signal.