Wind-solar dual-channel collaborative simulation power generation system and control method thereof

Abstract

The invention belongs to the technical field of wind-solar simulation power generation, and provides a wind-solar dual-channel collaborative simulation power generation system and a control method thereof. The system comprises a controller, and a power generation unit, a dual-input parallel boost DC-DC converter and a DC-AC inverter which are connected with the controller respectively, the controller is configured to track the maximum power point of the power generation unit through a hierarchical coordination control strategy, and the process is as follows: at a bottom layer, virtual coordinates are constructed for the power generation unit based on a four-quadrant dynamic tracking algorithm, multichannel synchronous sampling and coordinate resolving of the power generation unit are executed, and the deviation between a power generation level and the maximum power point is obtained; dynamically compensating the deviation between the power generation stage and the maximum power point in the middle layer; and at the top layer, a control signal is generated by using the dynamically compensated deviation between the power generation stage and the maximum power point to control the angle adjustment of the double-shaft tracking mechanism and the paddle adjusting mechanism, so that the maximum power point tracking of the power generation unit is realized.

Description

Technical Field

[0001] The invention belongs to the technical field of wind-solar hybrid power generation, and particularly relates to a wind-solar dual-channel collaborative power generation system and a control method thereof. Background Technique

[0002] The statements in this part only provide background technical information related to the present invention, and do not necessarily constitute prior art.

[0003] Wind-solar power generation refers to a power generation system that utilizes the complementarity of wind energy and solar energy resources, and has the characteristics of clean environmental protection, renewable, and wide application. However, traditional wind-solar power generation is greatly affected by extreme weather, the system reliability is low, and the average annual fault outage of the wind farm is greater than 100 hours; moreover, it is usually installed with a tilt according to the local latitude and cannot optimize the angle in real time, resulting in an average annual efficiency loss of about 10-25%. The traditional maximum power point tracking method is greatly affected by the environmental temperature and light intensity, and cannot adapt to these changes in time, resulting in poor tracking effect and ultimately affecting the efficiency of wind-solar power generation. Summary of the Invention

[0004] In order to solve the above technical problems, the present invention provides a wind-solar dual-channel collaborative power generation system and a control method thereof, which integrate an adaptive angle adjustment mechanism and perform tracking of the maximum power point of the power generation unit through a hierarchical coordinated control strategy to improve the efficiency of wind-solar hybrid power generation.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions: The first aspect of the present invention provides a wind-solar dual-channel collaborative power generation system.

[0006] In one or more embodiments, a wind-solar dual-channel collaborative power generation system is provided, including: a controller and a power generation unit, a dual-input parallel boost type DC-DC converter, and a DC-AC inverter respectively connected thereto; the power generation unit includes a photovoltaic module and a wind power generation module; the photovoltaic module is further connected to a two-axis tracking mechanism; the wind power generation module is further connected to a blade adjustment mechanism; the controller is configured to: perform tracking of the maximum power point of the power generation unit through a hierarchical coordinated control strategy, and the process is as follows: At the bottom layer, a virtual coordinate is constructed for the power generation unit based on a four-quadrant dynamic tracking algorithm, multi-channel synchronous sampling and coordinate calculation of the power generation unit are performed, and the deviation between the power generation stage and the maximum power point is obtained; At the middle layer, dynamic compensation is performed on the deviation between the power generation stage and the maximum power point; At the top layer, using the deviation between the power generation stage and the maximum power point after dynamic compensation, a control signal is generated to control the angle adjustment of the two-axis tracking mechanism and the blade adjustment mechanism to achieve tracking of the maximum power point of the power generation unit.

[0007] As an implementation, in the controller, the deviation between the power generation level and the maximum power point is set to , and its expression is: ; In the formula respectively represent the real-time output parameters of the power generation units in four orthogonal directions in the virtual coordinate constructed for the power generation units based on the four-quadrant dynamic tracking algorithm.

[0008] As an implementation, in the controller, the PID control method is used to dynamically compensate the deviation between the power generation level and the maximum power point.

[0009] As an implementation, in the controller, before dynamically compensating the deviation between the power generation level and the maximum power point, zero calibration is also performed on the deviation between the power generation level and the maximum power point.

[0010] As an implementation, in the controller, the expression for zero calibration of the deviation between the power generation level and the maximum power point is: ; where k1~k4 are gain coefficients; respectively represent the real-time output parameters of the power generation units in four orthogonal directions in the virtual coordinate constructed for the power generation units based on the four-quadrant dynamic tracking algorithm; is the deviation between the power generation level and the maximum power point.

[0011] As an implementation, in the controller, a voltage outer loop and current inner loop control strategy is adopted to control the dual-input parallel boost DC-DC converter.

[0012] As an implementation, the photovoltaic module and the wind power generation module are respectively used to convert light energy and wind energy into electrical energy. After being boosted by the dual-input parallel boost DC-DC converter, synchronous conversion from DC to single-phase power frequency AC is performed by the DC-AC inverter, and finally, after harmonic suppression processing, it is injected into the power grid.

[0013] The second aspect of the present invention provides a control method for a wind-solar dual-channel collaborative simulation power generation system.

[0014] A control method for a wind-solar dual-channel collaborative simulation power generation system includes: Constructing a virtual coordinate for the power generation unit based on the four-quadrant dynamic tracking algorithm, performing multi-channel synchronous sampling and coordinate calculation of the power generation unit, and obtaining the deviation between the power generation level and the maximum power point; Performing dynamic compensation on the deviation between the power generation level and the maximum power point; Utilize the deviation between the power generation stage after dynamic compensation and the maximum power point to generate a control signal to control the angle adjustment of the two-axis tracking mechanism and the blade adjustment mechanism, so as to achieve the maximum power point tracking of the power generation unit; Utilize the photovoltaic module and the wind power generation module after angle adjustment to convert light energy and wind energy into electrical energy. After boosting by a dual-input parallel boost DC-DC converter, synchronous conversion from DC to single-phase industrial frequency AC is carried out by a DC-AC inverter, and finally, after harmonic suppression processing, it is injected into the power grid.

[0015] As an implementation manner, use the PID control method to dynamically compensate the deviation between the power generation stage and the maximum power point.

[0016] As an implementation manner, before dynamically compensating the deviation between the power generation stage and the maximum power point, zero calibration is also performed on the deviation between the power generation stage and the maximum power point.

[0017] Compared with the prior art, the beneficial effects of the present invention are: The wind-solar dual-channel collaborative simulation power generation system of the present invention realizes the distributed four-quadrant dynamic tracking optimization control of the photovoltaic module and the wind power generation module, and respectively converts solar energy and wind energy into unsteady DC electrical energy; after realizing multi-source power coupling and bus voltage regulation by a DC-DC converter, stable electrical energy is fed to the DC-link capacitor; subsequently, the grid-connected DC-AC inverter completes the synchronous conversion from DC to single-phase industrial frequency AC, and harmonic suppression is realized through an LCL filter and an isolation transformer, and finally it is injected into the power grid; the present invention realizes the dynamic complementarity of wind-solar power and the tracking of the maximum power point of the power generation unit through a hierarchical coordinated control strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings forming a part of the present invention are used to provide a further understanding of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation to the present invention.

[0019] Figure 1 It is a schematic structural diagram of the wind-solar dual-channel collaborative simulation power generation system according to an embodiment of the present invention; Figure 2 It is a schematic diagram of the DC-DC boost topology according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0021] It should be noted that the following detailed description is illustrative and is intended to provide further description of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs.

[0022] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular forms are also intended to include the plural forms. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, they specify the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0023] Figure 1 A schematic structural diagram of a wind-solar dual-channel collaborative simulation power generation system according to an embodiment of the present invention is given. According to Figure 1 , the wind-solar dual-channel collaborative simulation power generation system includes: a controller and a power generation unit, a dual-input parallel boost type DC-DC converter, and a DC-AC inverter respectively connected thereto; the power generation unit includes a photovoltaic module and a wind power generation module; the photovoltaic module is also connected to a two-axis tracking mechanism; the wind power generation module is also connected to a blade adjustment mechanism.

[0024] In this embodiment, the photovoltaic module and the wind power generation module are respectively used to convert light energy and wind energy into electrical energy. After being boosted by the dual-input parallel boost type DC-DC converter, they are then synchronously converted from DC to single-phase industrial frequency AC by the DC-AC inverter, and finally injected into the power grid after harmonic suppression processing.

[0025] It should be noted here that the DC-AC inverter can be implemented by using an existing structure, and details are not described herein again.

[0026] The photovoltaic module here includes a plurality of photovoltaic panels; the wind power generation module includes a plurality of wind turbines; Both the two-axis tracking mechanism and the blade adjustment mechanism are existing structures, and those skilled in the art can specifically select according to the actual situation; the two-axis tracking mechanism is used to control the angle of the photovoltaic panels; the blade adjustment mechanism is used to control the angle of the blades.

[0027] Figure 2 The topological structure of the boost type DC-DC converter is given. The CCM (Continuous Conduction Mode) mode synchronous Boost circuit is a boost type DC-DC converter that operates in a state where the inductor current is continuous. It realizes energy transfer by periodically controlling the on and off of the switching tube: when the active switching tube (lower tube) is on, the inductor stores energy and the passive switching tube (upper tube) is off, and the load is powered by the output capacitor; when the active switching tube is off and the passive switching tube is on, the inductor releases energy and is superimposed with the input voltage to supply power to the subsequent load, so as to obtain an output higher than the input voltage.

[0028] The volt-second balance equation of the boost circuit in CCM mode is as follows: (1) Among them, D is the duty cycle of the active tube controlling the PWM wave.

[0029] Figure 2 C1 in [] is a farad capacitor, simulating the DC energy storage station in photovoltaic / wind power generation. Its specific working modes are as follows: (1) When the voltage of the farad capacitor (simulating the energy storage station) is low, the diode D conducts, the DC-DC converter is under-voltage locked, the switches M1 and M2 are disconnected, and the power generation stage charges the farad capacitor through the diode D.

[0030] (2) When the voltage of the farad capacitor reaches a certain value, the diode D cuts off and the DC-DC converter starts.

[0031] (3) The switch M2 of the DC-DC converter is closed and the switch M1 is disconnected, and the power generation stage charges the inductor L.

[0032] (4) The switch M1 of the DC-DC converter is closed and the switch M2 is disconnected, and the inductor L charges the farad capacitor.

[0033] In the dual-input parallel DC-DC converter architecture, in view of the fact that the inductor element operates in the continuous conduction mode (CCM), the inductor current is forced to be maintained in the non-negative unidirectional working interval through the closed-loop current tracking control strategy, so as to ensure the continuity and direction certainty of the energy transmission path.

[0034] In this embodiment, the DC-AC inverter adopts the SPWM (Sinusoidal Pulse Width Modulation) modulation method. Its core principle is to compare the high-frequency triangular carrier wave with the low-frequency sinusoidal modulation wave to generate a PWM signal with a duty cycle changing according to the sine law, drive the switching action of the fully controlled power device, and make the DC input output a high-quality sinusoidal AC voltage after filtering. Its specific working modes are as follows: (1) When the voltage of the farad capacitor (simulating the energy storage station) is low, the DC-AC inverter is under-voltage locked and the system has no AC output.

[0035] (2) When the voltage of the farad capacitor reaches a certain value, the DC-AC inverter starts.

[0036] (3) The grid-side sampled phase signal is input to the MCU, the MCU generates a SPWM wave with the same phase to drive the inverter, and the filtered electric energy output is merged into the grid.

[0037] In this embodiment, the controller is configured to: track the maximum power point of the power generation unit through a hierarchical coordinated control strategy, and the process is as follows: At the bottom layer, a virtual coordinate is constructed for the power generation unit based on the four-quadrant dynamic tracking algorithm, and multi-channel synchronous sampling and coordinate calculation of the power generation unit are performed to obtain the deviation between the power generation level and the maximum power point; At the middle layer, dynamic compensation is performed on the deviation between the power generation level and the maximum power point; At the top layer, by using the deviation between the power generation level and the maximum power point after dynamic compensation, a control signal is generated to control the angle adjustment of the two-axis tracking mechanism and the blade adjustment mechanism, so as to achieve the maximum power point tracking of the power generation unit.

[0038] The four-quadrant dynamic tracking algorithm is an orientation optimization control method for optical / wind energy collection devices based on a two-dimensional orthogonal coordinate system. The core principle of this algorithm is to construct a virtual coordinate system (Virtual Coordinate System, VCS) through the sampling data of four power generation units symmetrically distributed in space.

[0039] At the bottom layer, in the controller, the deviation between the power generation level and the maximum power point is set as , and its expression is: ; In the formula respectively represent the real-time output parameters of the power generation units in four orthogonal directions in the virtual coordinate constructed for the power generation unit based on the four-quadrant dynamic tracking algorithm.

[0040] In the ideal maximum power point state, the system satisfies the equal power condition of . At this time, the theoretical coordinate value of the VCS converges to the origin (0, 0). When the real-time virtual coordinate obtained by the system from the hierarchical structure does not fall on the origin, the system generates the corresponding top-layer PWM through feedback, so that the real-time virtual coordinate approaches the origin, and the physical manifestation is that the power generation unit tracks the maximum power point.

[0041] The multi-channel synchronous sampling and coordinate calculation performed at the bottom layer are: ; where is the voltage division ratio of the differential sampler; and are the voltage values of the abscissa and the vertical axis in the virtual coordinate.

[0042] In the specific implementation process, in the controller, the PID control method is used to perform dynamic compensation on the deviation between the power generation level and the maximum power point.

[0043] The middle layer performs dynamic compensation on the coordinate deviation through the proportional-integral-differential method; ; where , , , , , are the coefficients of the proportional-integral-derivative method, is the virtual coordinate value. The middle layer receives data from the bottom layer and compensates for the coordinate deviation through the proportional-integral-derivative method.

[0044] The PID (Proportional-Integral-Derivative) algorithm is a classic closed-loop control strategy in power electronic systems. By adjusting the proportional, integral, and derivative components of the system deviation in real time, it can achieve high-precision dynamic tracking and stable control of key variables such as voltage, current, or power. In scenarios such as inverters, rectifiers, and motor drives, PID compensates for the non-linear time-varying characteristics of power electronic converters, optimizes the transient response speed, and suppresses the steady-state error. For example, in grid-connected inverters, the current-loop PID is used to accurately track the grid voltage phase to ensure harmonic suppression and power factor correction; in DC bus voltage control, the integral link can eliminate the voltage offset caused by load disturbances, and the derivative action effectively damps the oscillations caused by power mutations. With the development of modern strategies such as model predictive control, PID still maintains a wide range of applications in power electronic devices in the fields of new energy generation, electric vehicle drives, and smart grids due to its simple structure, engineering ease of use, and compatibility with advanced control algorithms.

[0045] This embodiment is implemented by discretizing a digital signal processor (DSP). The PID algorithm can meet the robustness requirements under multi-variable coupling and complex working conditions through parameter adaptive tuning. At the same time, in high-frequency switching systems, it is necessary to balance the sampling frequency and anti-noise performance to avoid amplifying high-frequency interference.

[0046] Specifically, in the controller, before dynamically compensating for the deviation between the power generation level and the maximum power point, zero calibration is also performed on the deviation between the power generation level and the maximum power point. This can solve the problems of sensor non-linear errors and installation mismatches existing in the actual system.

[0047] The expression for zero calibration of the deviation between the power generation level and the maximum power point is: ; where k1 to k4 are gain coefficients; respectively represent the real-time output parameters of the power generation units in four orthogonal directions of the virtual coordinates constructed for the power generation units based on the four-quadrant dynamic tracking algorithm; is the deviation between the power generation level and the maximum power point.

[0048] The top layer generates a pulse width modulation drive signal to achieve the angle closed-loop control of the actuator. The actuator here includes a two-axis tracking mechanism and a blade adjustment mechanism.

[0049] The top layer obtains virtual coordinates from the middle layer and calculates control signals based on the virtual coordinates. Taking the control signal as a PWM signal; such as the PWM duty cycle ; Among them, represents a constant coefficient; and represent the duty cycles of the abscissa and ordinate of the virtual coordinates; is the virtual coordinate value.

[0050] In photovoltaic and wind power generation, the four-quadrant dynamic tracking algorithm realizes the maximum power point tracking of new energy through multi-dimensional collaborative control. Drawing on the spot detection principle of the four-quadrant detector, this algorithm can be applied to the fields of high-precision tracking and dynamic correction. Based on four-quadrant sampling, combined with the addition and subtraction algorithm or the difference ratio and algorithm, the solar tracking accuracy of the photovoltaic system can be optimized. By detecting the virtual four-quadrant points in real time and feeding them back to the two-axis tracking mechanism, the maximum light energy capture efficiency can be achieved; in wind power generation, a similar algorithm can combine multi-dimensional signals of the wind direction sensor to dynamically adjust the blade angle to improve the wind energy utilization rate. In addition, the anti-noise technology of the four-quadrant dynamic tracking algorithm can enhance the robustness of the system in complex environments and improve the dynamic response speed and steady-state accuracy of MPPT (maximum power point tracking).

[0051] This embodiment uses a hybrid control strategy that combines the four-quadrant dynamic tracking algorithm and the hierarchical coordination control strategy, which has the dual advantages of model-driven and data-driven. While ensuring the dynamic response of MPPT, it significantly improves the robustness under complex working conditions.

[0052] In one or more embodiments, in the controller, a voltage outer loop current inner loop control strategy is adopted to control the dual-input parallel boost DC-DC converter. This can achieve current sharing and complementarity between wind power generation and photovoltaic power generation and enhance the robustness of the system.

[0053] The voltage outer loop current inner loop control is a hierarchical control strategy widely used in power electronic systems. The outer loop voltage regulator generates a current reference signal, and the inner loop current controller quickly tracks this command to achieve precise stabilization of the output voltage and optimization of the dynamic response. The outer loop takes the steady-state voltage error as the input, eliminates the deviation through integral action and adapts to load changes, while the inner loop suppresses current fluctuations and external disturbances with its high bandwidth characteristics. The two work together to balance the robustness and rapidity of the system and are widely used in grid-connected inverters, DC converters, motor drives and other fields to ensure efficient power conversion and reliable operation of equipment.

[0054] Based on the control method of the wind-solar dual-channel collaborative simulation power generation system as shown in Figure 1 , it includes: Step 1: Construct virtual coordinates for the power generation unit based on the four - quadrant dynamic tracking algorithm, perform multi - channel synchronous sampling and coordinate calculation of the power generation unit, and obtain the deviation between the power generation level and the maximum power point; The deviation between the power generation level and the maximum power point is set as , and its expression is: ; In the formula respectively represent the real - time output parameters of the power generation units in four orthogonal directions in the virtual coordinates constructed for the power generation unit based on the four - quadrant dynamic tracking algorithm.

[0055] Step 2: Perform dynamic compensation on the deviation between the power generation level and the maximum power point; Specifically, use the PID control method to perform dynamic compensation on the deviation between the power generation level and the maximum power point.

[0056] Step 3: Use the deviation between the power generation level and the maximum power point after dynamic compensation to generate a control signal to control the angle adjustment of the two - axis tracking mechanism and the blade adjustment mechanism, and achieve the maximum power point tracking of the power generation unit; Before performing dynamic compensation on the deviation between the power generation level and the maximum power point, zero - point calibration is also performed on the deviation between the power generation level and the maximum power point.

[0057] Among them, the expression for zero - point calibration of the deviation between the power generation level and the maximum power point is: ; Among them, k1~k4 are gain coefficients; respectively represent the real - time output parameters of the power generation units in four orthogonal directions in the virtual coordinates constructed for the power generation unit based on the four - quadrant dynamic tracking algorithm; is the deviation between the power generation level and the maximum power point.

[0058] Step 4: Use the photovoltaic module and wind power generation module after angle adjustment to convert light energy and wind energy into electrical energy. After boosting by a dual - input parallel boost - type DC - DC converter, synchronous conversion from DC to single - phase industrial - frequency AC is performed by a DC - AC inverter, and finally, after harmonic suppression processing, it is injected into the power grid.

[0059] In this embodiment, through the distributed four - quadrant dynamic tracking and optimization control of the photovoltaic module and the wind power generation module, solar energy and wind energy are respectively converted into unsteady DC electrical energy; after the DC - DC converter realizes multi - source power coupling and bus voltage regulation, stable electrical energy is fed to the DC - link capacitor; then, the grid - connected DC - AC inverter completes the synchronous conversion from DC to single - phase industrial - frequency AC, and harmonic suppression is achieved through the LCL filter and the isolation transformer, and finally it is injected into the power grid; through the hierarchical coordinated control strategy, the present invention realizes the dynamic complementarity of wind and light power and the tracking of the maximum power point of the power generation unit.

[0060] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A wind-solar dual-channel collaborative simulation power generation system, characterized in that: Comprising: A controller, a power generation unit, a dual-input parallel boost DC-DC converter, and a DC-AC inverter that are respectively connected thereto; the power generation unit includes a photovoltaic module and a wind power generation module; the photovoltaic module is further connected to a two-axis tracking mechanism; the wind power generation module is further connected to a blade adjustment mechanism; the controller is configured to: perform tracking of the maximum power point of the power generation unit through a hierarchical coordination control strategy, and the process is as follows: At the bottom layer, a virtual coordinate is constructed for the power generation unit based on a four-quadrant dynamic tracking algorithm, multi-channel synchronous sampling and coordinate calculation of the power generation unit are performed, and the deviation between the power generation level and the maximum power point is obtained; At the middle layer, dynamic compensation is performed on the deviation between the power generation level and the maximum power point; At the top layer, using the deviation between the power generation level and the maximum power point after dynamic compensation, a control signal is generated to control the angle adjustment of the two-axis tracking mechanism and the blade adjustment mechanism, so as to achieve tracking of the maximum power point of the power generation unit.

2. The wind-solar dual-channel collaborative simulation power generation system according to claim 1, wherein In the controller, the deviation between the power generation level and the maximum power point is set to , and its expression is: ； In the formula respectively represent the real-time output parameters of the power generation units in four orthogonal directions in the virtual coordinates constructed for the power generation units based on the four-quadrant dynamic tracking algorithm.

3. The wind-solar dual-channel collaborative simulation power generation system according to claim 1, wherein In the controller, a PID control method is used to perform dynamic compensation on the deviation between the power generation level and the maximum power point.

4. The wind-solar dual-channel collaborative simulation power generation system according to claim 1, wherein In the controller, before performing dynamic compensation on the deviation between the power generation level and the maximum power point, zero calibration is also performed on the deviation between the power generation level and the maximum power point.

5. The wind-solar dual-channel collaborative simulation power generation system according to claim 4, wherein In the controller, the expression for zero calibration of the deviation between the power generation level and the maximum power point is: ； Among them, k1 to k4 are gain coefficients; They respectively represent the real-time output parameters of the power generation units in four orthogonal directions in the virtual coordinates constructed for the power generation units based on the four-quadrant dynamic tracking algorithm; It is the deviation between the power generation level and the maximum power point.

6. The wind-solar dual-channel collaborative simulation power generation system according to claim 1, wherein In the controller, a voltage outer loop current inner loop control strategy is adopted to control the dual-input parallel boost DC-DC converter.

7. The dual-channel coordinated simulation power generation system for wind and light as described in claim 1, wherein, The photovoltaic module and the wind power generation module are respectively used to convert light energy and wind energy into electrical energy. After being boosted by the dual-input parallel boost DC-DC converter, synchronous conversion from DC to single-phase industrial frequency AC is performed by the DC-AC inverter, and finally, after harmonic suppression processing, it is injected into the power grid.

8. A control method for a wind-solar dual-channel collaborative simulation power generation system as described in any one of claims 1-7, characterized in that, Comprising: Constructing a virtual coordinate for the power generation unit based on a four-quadrant dynamic tracking algorithm, performing multi-channel synchronous sampling and coordinate calculation of the power generation unit, and obtaining the deviation between the power generation level and the maximum power point; Performing dynamic compensation on the deviation between the power generation level and the maximum power point; Using the deviation between the power generation level and the maximum power point after dynamic compensation, generating a control signal to control the angle adjustment of the two-axis tracking mechanism and the blade adjustment mechanism, so as to achieve tracking of the maximum power point of the power generation unit; Using the photovoltaic module and the wind power generation module after angle adjustment to convert light energy and wind energy into electrical energy. After being boosted by the dual-input parallel boost DC-DC converter, synchronous conversion from DC to single-phase industrial frequency AC is performed by the DC-AC inverter, and finally, after harmonic suppression processing, it is injected into the power grid.

9. The control method according to claim 8, characterized in that, Using a PID control method to perform dynamic compensation on the deviation between the power generation level and the maximum power point.

10. The control method according to claim 8, characterized in that, Before performing dynamic compensation on the deviation between the power generation level and the maximum power point, zero calibration is also performed on the deviation between the power generation level and the maximum power point.

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