Solar coupling power generation system of land wind power plant

Abstract

The invention discloses a land wind power plant solar coupling power generation system, and relates to the technical field of renewable energy power generation, and the system comprises a wind and light energy collection module which collects parameters, converts wind and light energy into electric energy, and transmits the electric energy; the energy conversion and storage module processes the electric energy, monitors the state of a storage battery, and distributes the electric energy for grid connection and storage; the intelligent monitoring and scheduling module is used for processing parameters, calculating by adopting a formula and sending an instruction; the grid-connected transmission module processes electric energy, merges the electric energy into a power grid and feeds back power grid acceptance power; the pre-maintenance execution module is used for receiving an instruction maintenance device, feeding back a state and calculating the life extension amount; through cooperation of wind and light energy collection and the intelligent monitoring module, efficient complementation of wind energy and solar energy and stable operation of the system are achieved, and the utilization rate of renewable energy is increased; meanwhile, an intelligent maintenance system covering the whole life cycle is constructed, hidden dangers are actively eliminated, the operation and maintenance cost is reduced, the service life of equipment is prolonged, and the economical efficiency and reliability of the system are improved.

Description

Technical Field

[0001] This invention relates to the field of renewable energy power generation technology, specifically to a solar-coupled power generation system for onshore wind farms. Background Technology

[0002] With the continuous growth of global energy demand and the transformation of energy structure, the development and utilization of renewable energy has become a focus of attention for countries around the world. Wind and solar energy, as two of the most abundant renewable energy sources, occupy an important position in the energy field due to their clean and sustainable characteristics. Traditionally, wind power and solar power are usually developed and applied as independent systems, each facing different technical challenges and limitations. For example, wind power is greatly affected by wind speed fluctuations and its output power is unstable; while solar power is affected by sunlight intensity and diurnal variations, resulting in intermittent problems. In order to make full use of the advantages of these two energy sources and improve energy efficiency and power supply reliability, wind-solar coupled power generation systems have emerged.

[0003] Despite the significant advantages of wind-solar coupled power generation systems, traditional technologies still have many shortcomings in practical applications. First, traditional systems lack efficient collaborative control mechanisms during energy collection and conversion, resulting in low conversion efficiency between wind and solar energy and poor system stability under different operating conditions. Second, energy storage and management technologies are relatively backward, unable to flexibly adjust the charging and discharging power of energy storage according to real-time demand and grid conditions, affecting the system's economy and reliability. In addition, traditional systems lack intelligent means for equipment maintenance and fault early warning, often relying on manual inspections and periodic maintenance, making it difficult to detect and handle potential problems in a timely manner, increasing operation and maintenance costs and system downtime risks. Finally, traditional wind-solar coupled power generation systems face technical obstacles during grid connection, such as unstable power quality and poor grid compatibility, which limits their large-scale application and promotion. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of existing technologies and provide a solar-coupled power generation system for onshore wind farms. This system employs a wind-solar energy acquisition module that can monitor key parameters such as wind speed and solar intensity in real time, and optimizes the conversion efficiency of wind and solar energy through intelligent algorithms. The energy conversion and storage module achieves efficient integration and voltage regulation of AC and DC power, ensuring stable power output. The intelligent monitoring and scheduling module collects and analyzes the operating parameters of each module, and uses algorithms such as dynamic threshold triggering and wind-solar output synergistic optimization to achieve pre-maintenance of equipment and precise control of system output. The grid connection and transmission module ensures power quality and grid compatibility, improving the system's grid connection efficiency and stability. The application of this invention can effectively improve the overall performance and economy of wind-solar coupled power generation systems, promote the large-scale development and utilization of renewable energy, and provide strong support for building a clean, low-carbon, and efficient energy system.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a solar-coupled power generation system for an onshore wind farm, the system comprising:

[0006] Wind and solar energy acquisition module: Collects parameters such as wind speed, wind turbine yaw angle, photovoltaic panel tilt angle, light intensity and ambient temperature, and converts wind energy into electrical energy through wind turbine generator set and solar energy into electrical energy through photovoltaic panel array;

[0007] Energy conversion and storage module: Receives the transmitted electrical energy and rectifies the AC power output from the wind power generation side. After integrating it with the DC power from the solar power generation side, it regulates the voltage. It monitors the state of charge of the battery pack and transmits the state to the intelligent monitoring and scheduling module. It stores the processed electrical energy in the grid-connected transmission module and the battery pack.

[0008] Intelligent monitoring and scheduling module: Collects and processes the operating parameters of each module, calculates the overall loss coefficient of the equipment using the wind-solar synergy loss coefficient formula, calculates the pre-maintenance trigger threshold using the dynamic threshold trigger formula, generates a pre-maintenance command when the overall loss coefficient of the equipment is not less than the pre-maintenance trigger threshold, calculates the optimized total output using the wind-solar output synergy optimization formula, and calculates the energy storage charging and discharging power using the energy storage dynamic adjustment formula and sends it to the energy conversion and storage module.

[0009] Grid-connected transmission module: Receives electrical energy from the energy conversion and storage module, aggregates and boosts the electrical energy, converts the processed electrical energy into AC power compatible with the power grid and connects it to the power grid, and at the same time feeds back the power received by the power grid to the intelligent monitoring and dispatch module.

[0010] Pre-maintenance execution module: Receives pre-maintenance instructions generated by the intelligent monitoring and scheduling module, performs pre-maintenance operations on wind turbine generators and photovoltaic panel equipment according to the instructions, and feeds back the equipment status to the intelligent monitoring and scheduling module after the operation is completed, and calculates the equipment life extension using the maintenance benefit quantification formula.

[0011] Furthermore, when the wind and solar energy acquisition module collects parameters, wind speed is measured using an ultrasonic anemometer, wind turbine yaw angle is measured using a wind turbine yaw angle encoder, photovoltaic panel tilt angle is measured using a photovoltaic panel tilt sensor, irradiance is measured using a total radiation meter, and ambient temperature is measured using a temperature and humidity sensor; wherein the ultrasonic anemometer has a measurement range of 0-60 m / s and an accuracy of ±0.1 m / s; the total radiation meter has a measurement range of 0-2000 W / m. 2 The temperature and humidity sensor measures temperatures from -40 to 85℃ with an accuracy of ±0.5℃.

[0012] Furthermore, the energy conversion and storage module employs a 6-pulse three-phase bridge rectifier to rectify the AC power; a bidirectional DC / DC converter is used for voltage regulation; the battery pack is a lithium iron phosphate battery pack, and the battery pack is equipped with a liquid cooling system, with the coolant being a mixture of water and ethylene glycol.

[0013] Furthermore, the formula for the wind-solar co-generation loss coefficient in the intelligent monitoring and scheduling module is: L=α·(v 3 ·t·sinθ)+β·(I 2 ·T·t·cosφ), where L is the overall equipment loss coefficient, α is the wind energy loss weight coefficient, with a value range of 0.3-0.5 and an initial value of 0.4, β is the solar energy loss weight coefficient, with a value range of 0.5-0.7 and an initial value of 0.6, and α+β=1; v is the wind speed, t is the duration, θ is the wind turbine yaw angle, I is the light intensity, T is the ambient temperature, and φ is the photovoltaic panel tilt angle.

[0014] Furthermore, the dynamic threshold triggering formula in the intelligent monitoring and scheduling module is: T = k·L0·e γ • (SOC-0.5), where T is the pre-maintenance trigger threshold, k is the operating condition correction coefficient, which is 1.3 in extreme weather and 1.1 in normal weather; L0 is the initial loss baseline value of the equipment, which is set to 30 for new equipment and increases by 5 every year with the operating years; γ is the energy storage influence coefficient, which is 1.2 when the energy storage system health is >90% and 0.8 when it is <70%; SOC is the state of charge of the battery.

[0015] Furthermore, the wind and solar power output co-optimization formula in the intelligent monitoring and scheduling module is as follows: Among them, P opt To optimize the total output, P wContributing to wind energy theory, based on the wind turbine power curve P w =0.5·ρ·A·v 3 Calculate, where ρ is the air density and A is the swept area of ​​the wind turbine, using the formula A = π·(d / 2). 2 Where d is the diameter of the wind turbine, i.e., the area of ​​the circular region swept by the wind turbine when it rotates; v is the wind speed, which is the 10-minute average wind speed collected by the ultrasonic anemometer in the wind and solar energy acquisition module, reflecting the speed of the airflow passing through the wind turbine; η w For wind energy conversion efficiency, P s Contributing to solar energy theory, the formula is: Total photovoltaic panel capacity × Real-time irradiance / Standard irradiance 1000W / m 2 η s For solar energy conversion efficiency; L w For wind energy loss components, L w =α·v 3 ·t·sinθ,L s For the solar energy loss component, L s =β·I 2 ·T·t·cosφ;δ is the power grid load matching coefficient, which is 1.1 during peak load and 0.9 during off-peak load.

[0016] Furthermore, the energy storage dynamic adjustment formula in the intelligent monitoring and scheduling module is as follows: Among them, P bat P represents the energy storage charging and discharging power, λ is the response coefficient, which is 0.8 for high system stability requirements and 1.2 for fast response; grid P represents the grid-acceptable power, μ is the adjustment sensitivity coefficient, which takes a value of 8 when SOC is close to 0.5, and a value of 5 when it is close to 0 or 1; SOC is the battery state of charge, P opt This is the total output after optimization.

[0017] Furthermore, the grid-connected transmission module uses a 10kV collection line to collect electrical energy, which is then collected by the collection unit composed of the wind turbine and the photovoltaic array; a box-type substation is used for voltage boosting; a grid-connected inverter is used to convert the electrical energy into AC power compatible with the power grid; and a vacuum circuit breaker is used to connect to the power grid.

[0018] Furthermore, the pre-maintenance operation of the pre-maintenance execution module includes: for wind turbine generator sets, adjusting the blades to a safe angle through the pitch system, correcting the wind direction with the yaw system to reduce deviation, and starting the automatic bearing lubrication device for lubrication; for photovoltaic panels, adjusting the angle using the dual-axis tracking bracket to avoid shadows, removing dust from the panel surface using a cleaning robot, and starting the heat dissipation system to reduce the panel temperature.

[0019] Furthermore, the formula for quantifying maintenance benefits in the pre-maintenance execution module is as follows: Where ΔY is the life extension, τ is the life conversion coefficient (initial value set to 0.03), T is the pre-maintenance trigger threshold, L is the overall equipment loss coefficient, and P... bat For energy storage charging and discharging power, P opt This is the total output after optimization.

[0020] Compared with existing technologies, this onshore wind farm solar-coupled power generation system has the following advantages:

[0021] I. This invention achieves efficient complementarity and dynamic balance between wind and solar energy through the collaborative innovation of wind and solar energy acquisition modules and intelligent monitoring modules. The system can sense wind speed, light intensity, and equipment operating status in real time. Based on the wind-solar synergy loss coefficient and output optimization algorithm, it automatically adjusts the output ratio of wind power generation and photovoltaic power generation. When wind energy is sufficient but sunlight is weak, the system prioritizes wind power generation and absorbs excess electricity through the energy storage module. When sunlight is sufficient but wind speed is low, the proportion of photovoltaic power generation is increased, and output fluctuations are smoothed through energy storage regulation. This intelligent control mechanism enables the system to maintain stable operation under different weather conditions, avoiding the intermittent problem of single-energy power generation. At the same time, by optimizing the charging and discharging strategy through the energy storage dynamic adjustment formula, the utilization rate of renewable energy and grid adaptability are effectively improved, providing reliable technical support for large-scale wind-solar coupled power generation.

[0022] Second, this invention constructs an intelligent maintenance system covering the entire life cycle of equipment through the innovative application of a pre-maintenance execution module and a maintenance benefit quantification formula. Based on the equipment's comprehensive loss coefficient, battery state of charge, and operating condition correction coefficient, the system dynamically generates pre-maintenance commands, triggering automated maintenance operations on the wind turbine's pitch system, yaw system, and photovoltaic panel tracking bracket. Simultaneously, it initiates preventative maintenance processes such as cleaning and lubrication. This proactive maintenance mode can eliminate potential fault hazards in advance and reduce the risk of sudden downtime. In addition, the maintenance benefit quantification formula provides a scientific basis for the allocation of operation and maintenance resources by quantifying the equipment life extension, avoiding over-maintenance or under-maintenance. Compared with traditional periodic inspection methods, it reduces the frequency of manual intervention and operation and maintenance costs, while extending the equipment's service life through precise maintenance, thus improving the overall economy and reliability of the system.

[0023] Other advantages, objectives and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from an examination of the following, or may be learned from the practice of the invention. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0025] Figure 1 This is a flowchart illustrating the overall operation of a solar-coupled power generation system for an onshore wind farm.

[0026] Figure 2 Here is the algorithm logic diagram for the intelligent monitoring and scheduling module;

[0027] Figure 3 A flowchart illustrating the operation process and benefits of the pre-maintenance execution module. Detailed Implementation

[0028] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0029] Example 1: System Operation under Strong Winds in Winter

[0030] During strong winds in winter, the solar-coupled power generation systems of onshore wind farms are fully operational. At this time, outdoor wind speeds are much higher than usual, and due to seasonal characteristics, sunshine hours are short and sunlight intensity is weak. Figure 1 As shown, the wind and solar energy acquisition module responds quickly to the external environment. Its ultrasonic anemometer, wind turbine yaw angle encoder, photovoltaic panel tilt sensor, total radiation meter, and temperature and humidity sensor continuously capture strong wind speed, real-time yaw angle of the wind turbine, current tilt angle of the photovoltaic panel, as well as relatively weak light intensity and low ambient temperature. Then, it synchronously transmits the AC power generated by the wind turbine generator and the DC power converted by the photovoltaic panel array to the energy conversion and storage module.

[0031] After receiving electrical energy, the energy conversion and storage module immediately rectifies the AC power output from the wind power generation side using a 6-pulse three-phase bridge rectifier, converting it into DC power. This DC power is then integrated with the DC power supplied from the solar power generation side, and the voltage is regulated by a bidirectional DC / DC converter to meet subsequent transmission and storage requirements. Simultaneously, the module constantly monitors the state of charge of the lithium iron phosphate battery pack to ensure it remains within a reasonable range, and feeds this status back to the intelligent monitoring and scheduling module in real time. Since the wind power output is relatively high at this time, some electrical energy needs to be stored in the battery pack. To prevent the battery from overheating due to continuous charging and discharging, the equipped liquid cooling system operates continuously to ensure the stable operation of the battery pack. Part of the processed electrical energy is transmitted to the grid-connected transmission module, while the other part is stored in the battery pack for backup.

[0032] Upon receiving the operating parameters from each module, the intelligent monitoring and scheduling module immediately enters a high-efficiency processing state, such as... Figure 2 As shown, it first uses the wind-solar synergy loss coefficient formula to evaluate the overall loss of the current equipment. The wind-solar synergy loss coefficient formula is: L=α·(v 3 ·t·sinθ)+β·(I 2 ·T·t·cosφ), where L is the overall equipment loss coefficient, α is the wind energy loss weight coefficient, β is the solar energy loss weight coefficient, and α+β=1; v is the wind speed, t is the duration, θ is the wind turbine yaw angle, I is the light intensity, T is the ambient temperature, and φ is the photovoltaic panel tilt angle. Then, the pre-maintenance triggering condition is calculated using the dynamic threshold triggering formula, which is: T=k·L0·e γ ·(SOC-0.5), where T is the pre-maintenance trigger threshold, k is the operating condition correction coefficient, γ is the energy storage influence coefficient, and SOC is the battery state of charge. Based on the equipment loss data under current strong wind conditions, it is determined that the overall equipment loss coefficient has not yet reached the pre-maintenance trigger threshold; therefore, no pre-maintenance command is generated. Subsequently, the module utilizes the wind-solar power output collaborative optimization formula, which is: Among them, P opt To optimize the total output, P w Contributing to wind energy theory, based on the wind turbine power curve P w =0.5·ρ·A·v 3 Calculate, where ρ is the air density and A is the swept area of ​​the wind turbine, using the formula A = π·(d / 2). 2 Where d is the rotor diameter, v is the wind speed, and η is the wind speed. w For wind energy conversion efficiency, P s Contributing to the theory of solar energy, η s For solar energy conversion efficiency; L w For wind energy loss components, L w =α·v3 ·t·sinθ,L s For the solar energy loss component, L s =β·I 2 ·T·t·cosφ;δ represents the grid load matching coefficient. Taking into account the current situation of sufficient wind energy and relatively insufficient solar energy, the total output is optimized and allocated to prioritize wind power generation. The appropriate energy storage charging and discharging power is calculated using the energy storage dynamic adjustment formula, which is: Among them, P bat P represents the energy storage charging and discharging power, λ is the response coefficient, and P is the energy storage charging and discharging power. grid Where P is the grid-acceptable power, μ is the regulation sensitivity coefficient, SOC is the battery state of charge, and P is the voltage drop across the grid. opt To optimize the total output, this command is sent to the energy conversion and storage module to achieve reasonable energy scheduling.

[0033] After receiving electrical energy from the energy conversion and storage module, the grid-connected transmission module gathers the energy through a 10kV collection line, concentrating the dispersed electrical energy. Then, a prefabricated substation is used to step up the voltage to meet the grid access standards. Subsequently, the grid-connected inverter converts the electrical energy into AC power compatible with the grid, and a vacuum circuit breaker is used to smoothly connect it to the grid. At the same time, the current power acceptance information of the grid is fed back to the intelligent monitoring and dispatching module in a timely manner, forming a closed-loop regulation.

[0034] The pre-maintenance execution module remains in standby mode unless it receives a pre-maintenance instruction, ready to respond to any maintenance instructions that the intelligent monitoring and scheduling module may issue, ensuring that the equipment can be processed in a timely manner once it meets the maintenance conditions.

[0035] In summary, under conditions of strong winds and weak sunlight in winter, the solar-coupled power generation system of this onshore wind farm demonstrated excellent collaborative operation capabilities. The wind-solar energy acquisition module accurately captured the environmental characteristics of wind dominance; the energy conversion and storage module efficiently processed different forms of electrical energy and ensured storage and heat dissipation; the intelligent monitoring and scheduling module scientifically judged equipment status and optimized output and energy storage strategies by using formulas such as the wind-solar synergy loss coefficient and dynamic threshold triggering formula; the grid connection and transmission module smoothly completed power grid connection and information feedback; and the pre-maintenance execution module was on standby at all times. Through the close cooperation of each module, the entire system made full use of abundant wind energy resources, effectively compensated for the shortcomings of insufficient sunlight, and achieved stable energy output and efficient utilization, demonstrating its reliable regulation capabilities in scenarios where a single energy source is dominant.

[0036] Example 2: System operation under cloudy weather conditions in spring and autumn

[0037] During the cloudy weather of spring and autumn, the solar-coupled power generation system of onshore wind farms operates. At this time, the wind is relatively mild, but there are many clouds in the sky, causing the intensity of sunlight to fluctuate. Figure 1 As shown, the wind and solar energy acquisition module accurately captures these changing environmental parameters. Equipped with an ultrasonic anemometer, wind turbine yaw angle encoder, photovoltaic panel tilt sensor, total radiation meter, and temperature and humidity sensor, it continuously captures the strong wind speed, the real-time yaw angle of the wind turbine, and the current tilt angle of the photovoltaic panel, and continuously transmits the electrical energy generated by the wind turbine generator and photovoltaic panel array to the energy conversion and storage module.

[0038] After receiving electrical energy, the energy conversion and storage module uses a 6-pulse three-phase bridge rectifier to rectify the AC power from the wind power generation side, converting it into DC power. This DC power is then integrated with the DC power from the solar power generation side. The power is then adjusted to a suitable voltage level by a bidirectional DC / DC converter. The module monitors the state of charge of the lithium iron phosphate battery pack in real time. Since the output of both wind and solar power generation fluctuates, the battery pack flexibly switches between charging and discharging. The liquid cooling system works in a timely manner according to the battery temperature changes to maintain the normal operating temperature of the battery pack. Part of the processed electrical energy flows to the grid-connected transmission module, while the other part is stored in the battery pack as needed.

[0039] The intelligent monitoring and scheduling module processes the collected operating parameters in detail, such as... Figure 2 As shown, the current comprehensive loss of the equipment is calculated using the wind-solar synergy loss coefficient formula. The wind-solar synergy loss coefficient formula is: L=α·(v 3 ·t·sinθ)+β·(I 2 ·T·t·cosφ), and then the pre-maintenance trigger threshold is obtained through the dynamic threshold trigger formula, which is: T=k·L0·e γ·(SOC-0.5) Given the gradual accumulation of equipment wear and tear under current weather conditions, calculations show that the overall equipment wear coefficient has reached the pre-maintenance trigger threshold. Therefore, a pre-maintenance command is immediately generated and sent to the pre-maintenance execution module. Simultaneously, the module utilizes the wind-solar power output synergy optimization formula, which is: Considering the significant fluctuations in sunlight during cloudy weather, the total output is dynamically optimized to ensure system stability. The corresponding energy storage charging and discharging power is calculated using the energy storage dynamic adjustment formula, which is as follows: The instruction energy conversion and storage module executes.

[0040] The grid-connected transmission module aggregates and boosts the received electrical energy, converting it into AC power that meets grid requirements before connecting it to the grid. At the same time, it continuously feeds back the grid-accepted power to the intelligent monitoring and dispatching module to ensure the coordinated operation of the grid and the power generation system.

[0041] After receiving the pre-maintenance instruction, the pre-maintenance execution module, as follows: Figure 3 As shown, swift action was taken to perform maintenance on the wind turbine generators. The pitch system was adjusted to ensure the blades were at a safe angle, the yaw system was corrected to ensure accurate wind alignment, and automatic lubrication was performed on bearings and other components. For the photovoltaic panels, the angle was adjusted using a dual-axis tracking bracket to avoid cloud shadows, a cleaning robot was activated to remove dust from the panels, and the cooling system was activated in advance to cool the panels. After maintenance, the good condition of the equipment was reported back to the intelligent monitoring and scheduling module, and the extension of equipment lifespan was evaluated using a maintenance benefit quantification formula. The maintenance benefit quantification formula is as follows: Where ΔY is the life extension, τ is the life conversion coefficient (initial value set to 0.03), T is the pre-maintenance trigger threshold, L is the overall equipment loss coefficient, and P... bat For energy storage charging and discharging power, P opt This is the total output after optimization.

[0042] In summary, the system's intelligence and adaptability were fully demonstrated in scenarios with frequent cloud cover and fluctuating wind and solar resources during spring and autumn. Facing varying light intensity and mild winds, the wind and solar energy acquisition module comprehensively captured environmental changes, the energy conversion and storage module flexibly handled fluctuating electrical energy and maintained battery status, the intelligent monitoring and scheduling module dynamically optimized system operation strategies using various formulas, and triggered pre-maintenance commands at appropriate times, the pre-maintenance execution module ensured equipment performance through specific maintenance operations, and the grid connection and transmission module ensured stable power grid connection. The system not only effectively coupled and stably outputs wind and solar energy in complex and changing environments, but also reduced equipment failure risks and extended service life through intelligent pre-maintenance mechanisms, fully demonstrating its high efficiency and reliability in complex scenarios.

[0043] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A solar-coupled power generation system for an onshore wind farm, characterized in that, The system includes: Wind and solar energy acquisition module: Collects parameters such as wind speed, wind turbine yaw angle, photovoltaic panel tilt angle, light intensity and ambient temperature, and converts wind energy into electrical energy through wind turbine generator set and solar energy into electrical energy through photovoltaic panel array; Energy conversion and storage module: Receives the transmitted electrical energy and rectifies the AC power output from the wind power generation side. After integrating it with the DC power from the solar power generation side, it regulates the voltage. It monitors the state of charge of the battery pack and transmits the state to the intelligent monitoring and scheduling module. It stores the processed electrical energy in the grid-connected transmission module and the battery pack. Intelligent monitoring and scheduling module: Collects and processes the operating parameters of each module, calculates the overall loss coefficient of the equipment using the wind-solar synergy loss coefficient formula, calculates the pre-maintenance trigger threshold using the dynamic threshold trigger formula, generates a pre-maintenance command when the overall loss coefficient of the equipment is not less than the pre-maintenance trigger threshold, calculates the optimized total output using the wind-solar output synergy optimization formula, and calculates the energy storage charging and discharging power using the energy storage dynamic adjustment formula and sends it to the energy conversion and storage module. Grid-connected transmission module: Receives electrical energy from the energy conversion and storage module, aggregates and boosts the electrical energy, converts the processed electrical energy into AC power compatible with the power grid and connects it to the power grid, and at the same time feeds back the power received by the power grid to the intelligent monitoring and dispatch module. Pre-maintenance execution module: Receives pre-maintenance instructions generated by the intelligent monitoring and scheduling module, performs pre-maintenance operations on wind turbine generators and photovoltaic panel equipment according to the instructions, and feeds back the equipment status to the intelligent monitoring and scheduling module after the operation is completed, and calculates the equipment life extension using the maintenance benefit quantification formula.

2. The onshore wind farm solar-coupled power generation system according to claim 1, characterized in that, When the wind and solar energy acquisition module collects parameters, the wind speed is measured using an ultrasonic anemometer, the wind turbine yaw angle is measured using a wind turbine yaw angle encoder, the photovoltaic panel tilt angle is measured using a photovoltaic panel tilt angle sensor, the irradiance is measured using a total radiation meter, and the ambient temperature is measured using a temperature and humidity sensor.

3. The onshore wind farm solar-coupled power generation system according to claim 1, characterized in that, The energy conversion and storage module uses a 6-pulse three-phase bridge rectifier to rectify the AC power; a bidirectional DC / DC converter is used for voltage regulation; the battery pack is a lithium iron phosphate battery pack, and the battery pack is equipped with a liquid cooling system, with the coolant being a mixture of water and ethylene glycol.

4. A solar-coupled power generation system for an onshore wind farm according to claim 1, characterized in that, The formula for the wind-solar co-operation loss coefficient in the intelligent monitoring and scheduling module is: L=α·(v 3 ·t·sinθ)+β·(I 2 ·T·t·cosφ), where L is the overall equipment loss coefficient, α is the wind energy loss weight coefficient, β is the solar energy loss weight coefficient, and α+β=1; v is the wind speed, t is the duration, θ is the wind turbine yaw angle, I is the light intensity, T is the ambient temperature, and φ is the photovoltaic panel tilt angle.

5. A solar-coupled power generation system for an onshore wind farm according to claim 1, characterized in that, The dynamic threshold triggering formula in the intelligent monitoring and scheduling module is: T = k·L0·e γ·(SOC-0.5) Where T is the pre-maintenance trigger threshold, k is the operating condition correction coefficient, γ is the energy storage influence coefficient, and SOC is the battery state of charge.

6. A solar-coupled power generation system for an onshore wind farm according to claim 1, characterized in that, The formula for the coordinated optimization of wind and solar power output in the intelligent monitoring and scheduling module is as follows: Among them, P opt To optimize the total output, P w Contributing to wind energy theory, based on the wind turbine power curve P w =0.5·ρ·A·v 3 Calculate, where ρ is the air density and A is the swept area of ​​the wind turbine, using the formula A = π·(d / 2). 2 Where d is the rotor diameter, v is the wind speed, and η is the wind speed. w For wind energy conversion efficiency, P s Contributing to the theory of solar energy, η s For solar energy conversion efficiency; L w For wind energy loss components, L w =α·v 3 ·t·sinθ,L s For the solar energy loss component, L s =β·I 2 ·T·t·cosφ;δ is the power grid load matching coefficient.

7. A solar-coupled power generation system for an onshore wind farm according to claim 1, characterized in that, The energy storage dynamic adjustment formula in the intelligent monitoring and scheduling module is as follows: Among them, P bat P represents the energy storage charging and discharging power, λ is the response coefficient, and P is the energy storage charging and discharging power. grid Where P is the grid-acceptable power, μ is the regulation sensitivity coefficient, SOC is the battery state of charge, and P is the voltage drop across the grid. opt This is the total output after optimization.

8. A solar-coupled power generation system for an onshore wind farm according to claim 1, characterized in that, In the grid-connected transmission module, a 10kV collection line is used to collect electrical energy, and the collection unit composed of wind turbines and photovoltaic arrays is used to collect the energy; a box-type substation is used for voltage boosting. A grid-connected inverter is used to convert electrical energy into AC power that is compatible with the power grid; a vacuum circuit breaker is used to connect to the power grid.

9. A solar-coupled power generation system for an onshore wind farm according to claim 1, characterized in that, The pre-maintenance operations of the pre-maintenance execution module include: for wind turbine generators, adjusting the blades to a safe angle using the pitch system, correcting the wind direction using the yaw system to reduce deviation, and starting the automatic bearing lubrication device for lubrication; for photovoltaic panels, adjusting the angle using the dual-axis tracking bracket to avoid shadows, using a cleaning robot to remove dust from the panel surface, and starting the heat dissipation system to reduce the panel temperature.

10. A solar-coupled power generation system for an onshore wind farm according to claim 1, characterized in that, The formula for quantifying maintenance benefits in the pre-maintenance execution module is as follows: Where ΔY is the life extension, τ is the life conversion coefficient (initial value set to 0.03), T is the pre-maintenance trigger threshold, L is the overall equipment loss coefficient, and P... bat For energy storage charging and discharging power, P opt This is the total output after optimization.

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