阅读说明：本技术 一种光伏发电系统的最大功率提取方法和相关装置 (maximum power extraction method of photovoltaic power generation system and related device ) 是由 邓静 王钦若 成润婷 龚韬 于 2019-08-20 设计创作，主要内容包括：本申请公开了一种光伏发电系统的最大功率提取方法和相关装置,方法包括：选取数值各不相同的粒子组成初始种群,对初始种群中的粒子进行第一预置次数的位置更新,计算每次位置更新后各粒子位于当前位置时的适应度值,并判断当前次位置更新时适应度值最大的粒子相较前一次位置更新位置分布是否发生变化,若是,则选取预置数量的适应度值最大的粒子组成新种群,并在判断到新种群中的粒子满足第一收敛条件时,对新种群中的粒子进行第二预置次数的位置更新,计算每次位置更新后的各粒子位于当前位置时的适应度值和新种群中的粒子是否满足第二收敛条件；当满足第二收敛条件时,根据当前次位置更新的新种群中粒子的适应度值确定光伏发电系统的最大功率。(the application discloses a maximum power extraction method and a related device of a photovoltaic power generation system, wherein the method comprises the following steps: selecting particles with different values to form an initial population, carrying out position updating on the particles in the initial population for a first preset number of times, calculating the fitness value of each particle when the particle is located at the current position after each position updating, judging whether the distribution of the particle with the maximum fitness value is changed compared with the position updated at the previous time when the current position is updated, if so, selecting the particles with the maximum fitness value in a preset number to form a new population, carrying out position updating on the particles in the new population for a second preset number of times when the particles in the new population are judged to meet a first convergence condition, and calculating the fitness value of each particle when the particle is located at the current position after each position updating and whether the particles in the new population meet a second convergence condition; and when the second convergence condition is met, determining the maximum power of the photovoltaic power generation system according to the fitness value of the particles in the new population updated at the current position.)

1. A maximum power extraction method of a photovoltaic power generation system is characterized by comprising the following steps:

S1, selecting particles with different values to form an initial population, wherein the particles are duty ratios of output voltages in the PV modules;

s2, carrying out position updating on the particles in the initial population for a first preset number of times according to a first preset motion formula group, calculating the fitness value of each particle at the current position after each position updating, judging whether the position distribution of the particle with the maximum fitness value changes when the current position is updated compared with the position distribution of the previous position updating, and if so, executing a step S3, wherein the fitness value is the output power of the photovoltaic cell array;

S3, selecting a preset number of particles with the maximum fitness value to form a new population, and executing the step S4 when the particles in the new population are judged to meet a first convergence condition;

S4, performing position updating for a second preset number of times on the particles in the new population according to a second preset motion formula, and calculating the fitness value of each particle after each position updating when the particle is located at the current position and whether the particles in the new population meet a second convergence condition;

And S5, when the particles in the new population are judged to meet the second convergence condition, determining the maximum power of the photovoltaic power generation system according to the fitness value of the particles in the new population when the current position is updated.

2. the maximum power extraction method of a photovoltaic power generation system according to claim 1, wherein the first preset motion formula set specifically includes:

Wherein x is_iFor particles to be location updated at the time of the current location update, x_qis any particle in the initial population nest, k is the particle flight coefficient, t +1 is the corresponding times of the next position update, t is the corresponding times of the current position update, x_bestu and v are positive Tai distribution curves, beta is 1.5, k is the particle with the maximum fitness value when the current position of the new population is updated_iis a particle x_iThe coefficient of flight of (a) is,to update x t +1 times_i，To update x t times_i；

Then, the performing a position update on the particles in the initial population according to the first preset motion formula set specifically includes:

Using formulasFor preliminary populationThe position of the particle with the maximum fitness value of the position number is updated, and the rest particles are updated according to a formulaAnd carrying out position updating.

3. The method for extracting maximum power of a photovoltaic power generation system according to claim 1, wherein the first convergence condition specifically includes: and all the particles in the new population are smaller than the speed threshold value or the current position updating times of the initial population are equal to the first preset times.

4. The maximum power extraction method of a photovoltaic power generation system according to claim 1, wherein the preset number includes 3;

The second preset formula specifically includes:

wherein x is_a、x_b、x_cRespectively the particles in the new population, t +1 is the corresponding times of the next position update, t is the corresponding times of the current position update,the particles with the maximum fitness value when the current position of the new population is updated,in order to update the xa t times,to update x t times_a，To update x t +1 times_b，To update x t times_b，To update x t +1 times_c，To update x t times_cAnd k is the particle flight coefficient.

5. The method for extracting maximum power of a photovoltaic power generation system according to claim 1, wherein the second convergence condition specifically includes: and the distances between every two particles in the new population are smaller than a distance threshold value, or the updating times of the current position of the new population are equal to the second preset times.

6. The method for extracting maximum power of a photovoltaic power generation system according to claim 1, wherein, when it is determined that the particles in the new population satisfy the first convergence condition, the step S4 is executed to specifically include:

When judging that the particles in the new population meet the first convergence condition, executing step S4;

And returning to the step S2 when the particles in the new population are judged not to satisfy the first convergence condition.

7. The maximum power extraction method of a photovoltaic power generation system according to claim 1, wherein the value of each particle in the step S1 is within a preset range, and the preset range is [0.05, 0.95 ].

8. A maximum power extraction device for a photovoltaic power generation system, comprising:

The first selecting unit is used for selecting particles with different values to form an initial population, wherein the particles are duty ratios of output voltages in the PV module;

the first updating unit is used for carrying out position updating on the particles in the initial population for a first preset number of times according to a first preset motion formula group, calculating the fitness value of each particle at the current position after each position updating, judging whether the distribution of the particle with the maximum fitness value in the current position updating is changed compared with the position updating position of the previous time, and if so, triggering the second selecting unit, wherein the fitness value is the output power of the photovoltaic cell array;

The second selecting unit is used for selecting a preset number of particles with the maximum fitness value to form a new population and triggering the second updating unit when the particles in the new population are judged to meet the first convergence condition;

The second updating unit is used for carrying out position updating on the particles in the new population for a second preset number of times according to a second preset motion formula, and calculating the fitness value of each particle after each position updating when the particle is positioned at the current position and whether the particles in the new population meet a second convergence condition;

And the calculating unit is used for determining the maximum power of the photovoltaic power generation system according to the fitness value of the particles in the new population when the current position is updated when the particles in the new population are judged to meet the second convergence condition.

9. A maximum power extraction device for a photovoltaic power generation system, comprising: a processor and a memory;

the memory is used for storing program codes and transmitting the program codes to the processor;

The processor is configured to execute the maximum power extraction method of the photovoltaic power generation system according to any one of claims 1 to 7 according to instructions of the program code.

10. a storage medium for storing program code for executing the maximum power extraction method of a photovoltaic power generation system according to any one of claims 1 to 7.

Technical Field

The application relates to the technical field of photovoltaic power generation, in particular to a maximum power extraction method and a related device of a photovoltaic power generation system.

Background

With the ever-increasing demand for energy and the growing concern for environmental issues, the use of renewable energy has received a great deal of attention.

Photovoltaic power generation, as a renewable energy technology, has the characteristics of no fuel cost, low maintenance requirements, environmental friendliness and the like, and is rapidly developed in recent years. The principle is to generate a maximum power point curve using the power supply voltage (P-V) of the PV module. The power generated by the PV module depends on the solar radiation and panel temperature, and these quantities vary over time, so power tracking methods have been developed to extract the maximum power from the PV module in real time. However, the existing power tracking method has the defect of easily falling into local optimization.

Disclosure of Invention

In view of this, the present application provides a maximum power extraction method and a related apparatus for a photovoltaic power generation system, which solve the technical problem that the maximum power calculation of the existing photovoltaic power generation system is easy to fall into local optimization.

the application provides a maximum power extraction method of a photovoltaic power generation system in a first aspect, which comprises the following steps:

s1, selecting particles with different values to form an initial population, wherein the particles are duty ratios of output voltages in the PV modules;

S2, carrying out position updating on the particles in the initial population for a first preset number of times according to a first preset motion formula group, calculating the fitness value of each particle at the current position after each position updating, judging whether the position distribution of the particle with the maximum fitness value changes when the current position is updated compared with the position distribution of the previous position updating, and if so, executing a step S3, wherein the fitness value is the output power of the photovoltaic cell array;

s3, selecting a preset number of particles with the maximum fitness value to form a new population, and executing the step S4 when the particles in the new population are judged to meet a first convergence condition;

S4, performing position updating for a second preset number of times on the particles in the new population according to a second preset motion formula, and calculating the fitness value of each particle after each position updating when the particle is located at the current position and whether the particles in the new population meet a second convergence condition;

And S5, when the particles in the new population are judged to meet the second convergence condition, determining the maximum power of the photovoltaic power generation system according to the fitness value of the particles in the new population when the current position is updated.

Optionally, the first preset motion formula group specifically includes:

wherein x is_iFor particles to be location updated at the time of the current location update, x_qis any particle in the initial population nest, k is the particle flight coefficient, t +1 is the corresponding times of the next position update, t is the corresponding times of the current position update, x_bestU and v are positive Tai distribution curves, beta is 1.5, k is the particle with the maximum fitness value when the current position of the new population is updated_iis a particle x_ithe coefficient of flight of (a) is,To update x t +1 times_i，To update x t times_i；

then, the performing a position update on the particles in the initial population according to the first preset motion formula set specifically includes:

Using formulasUpdating the position of the particles with the maximum fitness value of the preset number in the initial population, and updating the rest particles according to a formulaAnd carrying out position updating.

optionally, the first convergence condition specifically includes: and all the particles in the new population are smaller than the speed threshold value or the current position updating times of the initial population are equal to the first preset times.

Optionally, the preset number includes 3;

The second preset formula specifically includes:

wherein x is_a、x_b、x_cRespectively the particles in the new population, t +1 is the corresponding times of the next position update, t is the corresponding times of the current position update,The particles with the maximum fitness value when the current position of the new population is updated,In order to update the xa t times,To update x t times_a，To update x t +1 times_b，to update x t times_b，To update x t +1 times_c，To update x t times_cAnd k is the particle flight coefficient.

Optionally, the second convergence condition specifically includes: and the distances between every two particles in the new population are smaller than the distance threshold value or the updating times of the current position of the new population are equal to the second preset times.

optionally, when it is determined that the particles in the new population satisfy the first convergence condition, executing step S4 specifically includes:

When judging that the particles in the new population meet the first convergence condition, executing step S4;

and returning to the step S2 when the particles in the new population are judged not to satisfy the first convergence condition.

Alternatively, the value of each particle in step S1 is within a preset range, which is [0.05, 0.95 ].

The present application provides in a second aspect a maximum power extraction device for a photovoltaic power generation system, comprising:

The first selecting unit is used for selecting particles with different values to form an initial population, wherein the particles are duty ratios of output voltages in the PV module;

the first updating unit is used for carrying out position updating on the particles in the initial population for a first preset number of times according to a first preset motion formula group, calculating the fitness value of each particle at the current position after each position updating, judging whether the distribution of the particle with the maximum fitness value in the current position updating is changed compared with the position updating position of the previous time, and if so, triggering the second selecting unit, wherein the fitness value is the output power of the photovoltaic cell array;

the second selecting unit is used for selecting a preset number of particles with the maximum fitness value to form a new population and triggering the second updating unit when the particles in the new population are judged to meet the first convergence condition;

The second updating unit is used for carrying out position updating on the particles in the new population for a second preset number of times according to a second preset motion formula, and calculating the fitness value of each particle after each position updating when the particle is positioned at the current position and whether the particles in the new population meet a second convergence condition;

And the calculating unit is used for determining the maximum power of the photovoltaic power generation system according to the fitness value of the particles in the new population when the current position is updated when the particles in the new population are judged to meet the second convergence condition.

A third aspect of the present application provides a maximum power extraction device of a photovoltaic power generation system, including: a processor and a memory;

The memory is used for storing program codes and transmitting the program codes to the processor;

The processor is configured to execute the maximum power extraction method of the photovoltaic power generation system according to the first aspect according to instructions of the program code.

A fourth aspect of the present application provides a storage medium for storing program code for executing the maximum power extraction method of the photovoltaic power generation system according to the first aspect.

according to the technical scheme, the method has the following advantages:

the application provides a maximum power extraction method of a photovoltaic power generation system, which comprises the following steps: s1, selecting particles with different values to form an initial population, wherein the particles are duty ratios of output voltages in the PV modules; s2, carrying out position updating for a first preset number of times on the particles in the initial population according to a first preset motion formula group, calculating the fitness value of each particle at the current position after each position updating, judging whether the position distribution of the particles with the maximum fitness value changes when the current position is updated compared with the position distribution of the previous position updating, and if so, executing the step S3, wherein the fitness value is the output power of the photovoltaic cell array; s3, selecting a preset number of particles with the maximum fitness value to form a new population, and executing the step S4 when the particles in the new population are judged to meet a first convergence condition; s4, performing position updating for a second preset number of times on the particles in the new population according to a second preset motion formula, and calculating the fitness value of each particle after each position updating when the particle is located at the current position and whether the particles in the new population meet a second convergence condition; and S5, when the particles in the new population are judged to meet the second convergence condition, determining the maximum power of the photovoltaic power generation system according to the fitness value of the particles in the new population when the current position is updated.

according to the method, the initial population is formed by the output voltage duty ratios of different values in the PV modules, and then the maximum power of the photovoltaic power generation system is obtained after the PV modules are staged and sub-module to judge whether the first convergence condition and the second convergence condition are met, so that the phenomenon that the photovoltaic power generation system is easy to fall into local optimum is reduced, and the technical problem that the photovoltaic power generation system is easy to fall into local optimum when the maximum power is calculated is solved.

Drawings

fig. 1 is a schematic flowchart of a first embodiment of a method for extracting maximum power of a photovoltaic power generation system according to an embodiment of the present disclosure;

Fig. 2 is a schematic flowchart of a second embodiment of a method for extracting maximum power of a photovoltaic power generation system in an embodiment of the present application;

Fig. 3 is a schematic structural diagram of an embodiment of a maximum power extraction device of a photovoltaic power generation system according to an embodiment of the present disclosure;

Fig. 4 is a schematic structural diagram of a photovoltaic power generation system in an embodiment of the present application.

Detailed Description

the embodiment of the application provides a maximum power extraction method and a related device of a photovoltaic power generation system, and solves the technical problem that the maximum power of the conventional photovoltaic power generation system is easy to fall into local optimization during maximum power calculation.

in order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

For ease of understanding, first, a photovoltaic power generation system is explained, and as shown in fig. 4, the photovoltaic power generation system includes: the device comprises a PV module, a DC/DC or DC/AC converter, a load and an MPPT control module, wherein the MPPT control module controls the converter by generating a duty ratio D of output voltage of the PV module, so that the aim of extracting the maximum power of the PV module is fulfilled.

with reference to fig. 1, a flow chart of a first embodiment of a method for extracting maximum power of a photovoltaic power generation system in the embodiment of the present application is schematically illustrated, and the method includes:

Step 101, selecting particles with different values to form an initial population, wherein the particles are duty ratios of output voltages in the PV modules.

It should be noted that, in the embodiment, when extracting the maximum power of the PV module, first, particles with different values are selected to form an initial population, and the particles are duty ratios of output voltages in the PV module.

102, performing position updating on the particles in the initial population for a first preset number of times according to a first preset motion formula group, calculating a fitness value of each particle at the current position after each position updating, and judging whether the position distribution of the particle with the maximum fitness value changes when the current position is updated compared with the position distribution of the previous position updating, if so, executing a step 103, wherein the fitness value is the output power of the photovoltaic cell array.

It should be noted that, after obtaining the initial population (corresponding to a module), the position of the particles in the initial population is updated according to a first preset motion formula set (which may be regarded as a first stage), and the process is terminated by setting a maximum number of iterations to prevent the particles from not converging or converging too slowly.

after each position update, the positions of the particles may be changed, the fitness value of the particles at the current position (i.e., the updated position) is calculated, and then it is determined whether the distribution of the particles with the maximum fitness value after the position update changes compared with the particles with the maximum fitness value in the last iteration, and if so, the particles in the initial population are regrouped.

The output power P may be according to the formula P ═ I_pv*V_pvCalculation of wherein I_pvand V_pvRespectively the output current and the output voltage of the PV module.

103, selecting a preset number of particles with the maximum fitness value to form a new population, and executing a step 104 when the particles in the new population are judged to meet a first convergence condition.

It should be noted that the preset number may be set as needed, and may be 2, 4, 6, 9, and the like, and is not specifically limited in this embodiment.

the new population is equivalent to another module obtained according to the initial population, the particles in the new population meet a first convergence condition, that is, the position in the initial population is optimal in the first preset times of updating, and the new population can be input to the next stage.

And 104, performing position updating on the particles in the new population for a second preset number of times according to a second preset motion formula, and calculating the fitness value of each particle after each position updating when the particle is located at the current position and whether the particles in the new population meet a second convergence condition.

It should be noted that the second preset number of location updates is considered as the second stage update, so in the second stage in this embodiment, the second preset number of location updates are performed on the particles in the new population according to the second preset motion formula. For the calculation of the fitness value is the same as the calculation of the fitness value in the first stage, the above description may be specifically referred to, and details are not repeated here.

And 105, when the particles in the new population are judged to meet the second convergence condition, determining the maximum power of the photovoltaic power generation system according to the fitness value of the particles in the new population when the current position is updated.

It should be noted that, when it is determined that the particles in the new population satisfy the second convergence condition, the fitness value of the particles in the new population at this time is about the same value, and the value is taken as the maximum power of the photovoltaic power generation system.

it is understood that the fitness values of the particles in the new population are about the same value, which means that the fitness values do not deviate much, and any one of the fitness values can be used as the maximum power of the photovoltaic power generation system.

in the embodiment, the initial population is formed by the output voltage duty ratios with different values in the PV modules, and then the maximum power of the photovoltaic power generation system is obtained after the PV modules are staged and sub-module to judge whether the first convergence condition and the second convergence condition are met, so that the phenomenon that the maximum power is easy to fall into local optimum is reduced, and the technical problem that the maximum power is easy to fall into local optimum when the conventional photovoltaic power generation system is subjected to maximum power calculation is solved.

the above is a first embodiment of a method for extracting the maximum power of the photovoltaic power generation system provided in the embodiment of the present application, and the following is a second embodiment of the method for extracting the maximum power of the photovoltaic power generation system provided in the embodiment of the present application.

referring to fig. 2, a schematic flow chart of a second embodiment of a method for extracting maximum power of a photovoltaic power generation system in the embodiment of the present application specifically includes:

Step 201, selecting particles which are within a preset range and have different values to form an initial population, wherein the particles are duty ratios of output voltages in the PV modules.

It should be noted that, in this embodiment, the preset range may be: [0.05, 0.95], it is understood that the preset range may be other numerical ranges, and those skilled in the art may set the preset range as needed, which is not illustrated herein.

Step 202, utilizing a formulaUpdating the position of the particles with the maximum fitness value of the preset number in the initial population, and updating the rest particles according to a formulaAnd carrying out position updating.

Wherein x is_iFor particles to be location updated at the time of the current location update, x_qIs any particle in the initial population nest, k is the particle flight coefficient, t +1 is the corresponding number of the next position update,t is the number of times corresponding to the current position update, x_bestU and v are positive Tai distribution curves, beta is 1.5, k is the particle with the maximum fitness value when the current position of the new population is updated_iIs a particle x_iThe coefficient of flight of (a) is,To update x t +1 times_i，To update x t times_i。

It should be noted that the remaining particles described in step 203 are other particles except the preset number of particles in the initial population.

The preset number in this embodiment is 3, but may also be other numbers, and those skilled in the art may set the preset number according to needs, which is not illustrated herein.

And 203, calculating a fitness value of each particle at the current position after each position update, wherein the fitness value is the output power of the photovoltaic cell array.

It should be noted that the calculation of the output power is the same as the calculation of the output power in step 102 in the first embodiment, and reference may be made to the description of step 102 in the first embodiment, which is not repeated herein.

Step 204, determining whether the distribution of the particles with the maximum fitness value during the current location update changes compared with the distribution of the previous location update location, if yes, performing step 205.

And step 205, selecting a preset number of particles with the maximum fitness value to form a new population.

Step 206, determining whether the particles in the new population satisfy the first convergence condition, if yes, executing step 207, otherwise, returning to step 202.

It should be noted that the first convergence condition specifically includes: all particles in the new population are smaller than the speed threshold value or the current position updating times of the initial population are equal to the first preset times.

And step 207, updating the positions of the particles in the new population for a second preset number of times according to a second preset motion formula.

It should be noted that the second preset formula specifically includes:

Wherein x is_a、x_b、x_cRespectively the particles in the new population, t +1 is the corresponding times of the next position update, t is the corresponding times of the current position update,The particles with the maximum fitness value when the current position of the new population is updated,in order to update the xa t times,To update x t times_a，to update x t +1 times_b，to update x t times_b，To update x t +1 times_c，to update x t times_cAnd k is the particle flight coefficient.

And step 208, calculating the fitness value of each particle at the current position after each position update.

step 209 determines whether the particles in the new population after each position update satisfy the second convergence condition, and if so, performs step 210.

It should be noted that the second convergence condition specifically includes: and the distances between every two particles in the new population are smaller than the distance threshold, or the updating times of the current position of the new population are equal to a second preset time.

It is understood that when it is determined that the particles in the new population after each location update do not satisfy the second convergence condition, the step 207 is returned to continue the location update in the second phase.

and step 210, determining the maximum power of the photovoltaic power generation system according to the fitness value of the particles in the new population when the current position is updated.

It should be noted that, in order to ensure that the output power of the photovoltaic power generation system can adapt to the current environment, in this embodiment, the change rate of the maximum power is also determined in real time, and if the change rate is greater than a change rate threshold, the step 201 is returned to, and optimization is restarted. It is understood that the threshold value of the rate of change can be set according to the requirement, such as 5%, 9%, 20%, etc., and is not limited in detail herein.

In the embodiment, the initial population is formed by the output voltage duty ratios with different values in the PV modules, and then the maximum power of the photovoltaic power generation system is obtained after the PV modules are staged and sub-module to judge whether the first convergence condition and the second convergence condition are met, so that the phenomenon that the maximum power is easy to fall into local optimum is reduced, and the technical problem that the maximum power is easy to fall into local optimum when the conventional photovoltaic power generation system is subjected to maximum power calculation is solved.

The second embodiment of the maximum power extraction method for the photovoltaic power generation system provided in the embodiment of the present application is as described above, and the following is an embodiment of an unmanned aerial vehicle controller provided in the embodiment of the present application.

referring to fig. 3, a schematic structural diagram of an embodiment of a maximum power extraction device of a photovoltaic power generation system in an embodiment of the present application specifically includes:

The first selection unit 301 is configured to select particles with different values to form an initial population, where the particles are duty ratios of output voltages in the PV module;

A first updating unit 302, configured to perform position updating for a first preset number of times on particles in the initial population according to a first preset motion formula group, calculate a fitness value when each particle is located at a current position after each position updating, and determine whether the distribution of the particle with the maximum fitness value when the current position is updated is changed compared with the distribution of the position updated by the previous time, if yes, trigger a second selecting unit 303, where the fitness value is the output power of the photovoltaic cell array;

a second selecting unit 303, configured to select a preset number of particles with the largest fitness value to form a new population, and trigger a second updating unit 304 when it is determined that the particles in the new population meet the first convergence condition;

a second updating unit 304, configured to perform position updating for a second preset number of times on the particles in the new population according to a second preset motion formula, and calculate a fitness value when each particle after each position updating is located at the current position and whether the particles in the new population satisfy a second convergence condition;

And the calculating unit 305 is configured to determine the maximum power of the photovoltaic power generation system according to the fitness value of the particles in the new population at the time of the current position update when it is determined that the particles in the new population satisfy the second convergence condition.

in the embodiment, the initial population is formed by the output voltage duty ratios with different values in the PV modules, and then the maximum power of the photovoltaic power generation system is obtained after the PV modules are staged and sub-module to judge whether the first convergence condition and the second convergence condition are met, so that the phenomenon that the maximum power is easy to fall into local optimum is reduced, and the technical problem that the maximum power is easy to fall into local optimum when the conventional photovoltaic power generation system is subjected to maximum power calculation is solved.

the embodiment of the application also provides maximum power extraction equipment of the photovoltaic power generation system, which comprises a processor and a memory; the memory is used for storing the program codes and transmitting the program codes to the processor; the processor is configured to execute the maximum power extraction method of the photovoltaic power generation system according to any one of the first embodiment and the second embodiment according to instructions of the program code.

The embodiment of the application also provides a storage medium, wherein the storage medium is used for storing program codes, and the program codes are used for executing the maximum power extraction method of the photovoltaic power generation system in the first embodiment or the second embodiment.

it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the power grid network, the device and the unit to be installed described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

in the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another grid network to be installed, or some features may be omitted or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

the integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and specifically includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. The foregoing storage medium specifically includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.