Mountain wind power plant construction method based on high-power wind generating set

Abstract

The invention discloses a mountain wind power plant construction method based on a high-power wind generating set, and aims to solve the problems of large wind speed fluctuation and unstable power output in a mountain wind power plant. According to the method, the high-power wind generating set and the small wind power plant are reasonably arranged, risks caused by wind speed fluctuation are dispersed, meanwhile, a solar photovoltaic power generation system is combined, complementary power generation of wind energy and solar energy is achieved, and the overall power generation stability is improved. Through an intelligent scheduling system, in combination with real-time meteorological data and power grid load requirements, power generation output of wind power, solar energy and energy storage systems is optimized, and load balance and power supply stability of a power grid are improved. In addition, by configuring an energy storage system and providing standby power, it is ensured that the power requirement can still be met under the condition that the wind speed is low or illumination is insufficient. In the aspect of operation and maintenance, remote monitoring and unmanned aerial vehicle inspection technologies are combined, the operation and maintenance efficiency of the wind power plant is improved, and fault risks are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of wind farm construction, and particularly to a method for constructing a mountain wind farm based on large-power wind turbines. Background Art

[0002] With the transformation of the global energy structure and the rapid development of renewable energy, wind power generation, as a clean and sustainable energy form, has been widely used globally. Especially in areas rich in wind energy resources, wind power generation has become one of the mainstream energy sources. Due to its unique geographical conditions, mountainous areas often have relatively rich wind energy resources and become ideal locations for wind farm construction. However, the construction of mountain wind farms still faces many technical and economic challenges.

[0003] The mountain terrain is complex, and the wind speed is greatly affected by factors such as terrain, air flow, and temperature, with relatively large fluctuations. In some mountainous areas, the wind speed shows strong spatio-temporal non-uniformity, resulting in large fluctuations in the power generation of wind turbines and affecting the power generation stability of the wind farm. The instability of the wind speed often makes it difficult to balance the power output with the grid load, causing instability in power supply and further affecting the safe operation and sustainable development of the grid.

[0004] In the wind power generation system, the wind speed is greatly affected by seasonal and weather changes. Especially during periods with weak wind, the power generation of wind turbines drops significantly. To make up for this deficiency, it is usually necessary to rely on traditional fossil energy power generation or backup power sources. However, this method not only increases the operating cost but also does not conform to the development direction of green energy. Wind energy and solar energy are highly complementary because when the wind is strong at night, the power generation of solar energy is low, and when the sun is strongest during the day, the wind is weak. Combining wind energy and solar energy can effectively balance the wind speed fluctuations and power generation instability and improve the stability of power supply.

[0005] During the processes of wind power generation and solar power generation, the instability of power output makes energy storage technology crucial. Although existing energy storage systems can alleviate the power generation fluctuation problem to a certain extent, there is still room for improvement in their capacity and efficiency. Large-scale and high-efficiency energy storage systems are urgently needed to meet the demand for long-term and stable power supply.

[0006] Traditional wind farms often lack an effective intelligent scheduling system, resulting in the inability to adjust power supply in a timely manner when the wind speed changes violently or the light is insufficient, thus causing imbalance in the power system. In addition, the maintenance and operation management of wind turbines are difficult, especially in mountainous environments. The inspection, fault diagnosis, and repair costs of wind turbines are high, and the repair cycle is long, leading to low operation efficiency.

[0007] Therefore, how to reasonably layout wind turbines in mountain wind farms, reduce the impact of wind speed fluctuations on power generation stability, combine solar power generation, energy storage systems and intelligent dispatching technologies, and improve the operation efficiency and economic benefits of wind farms have become technical problems that need to be solved urgently in the current wind power field. Summary of the Invention

[0008] Based on the above purposes, the present invention provides a construction method for mountain wind farms based on high-power wind turbines.

[0009] A construction method for mountain wind farms based on high-power wind turbines,

[0010] By evaluating the wind speed data at different locations within the mountainous area, select a suitable area for the layout of wind turbines;

[0011] High-power wind turbines (single-unit power ≥ 3.0 MW) are arranged in areas with high and stable wind speeds, and small wind turbines (single-unit power 1.0 MW to 2.0 MW) are arranged in areas with large wind speed fluctuations, so as to disperse the risks brought by wind speed fluctuations;

[0012] Combined with the solar energy resources in the area, a photovoltaic power generation system and a wind power generation system are used for complementary power generation to improve power generation stability and ensure continuous power supply to the power grid;

[0013] An intelligent dispatching system is adopted to optimize the dispatching of wind power, solar energy and energy storage systems according to real-time meteorological data, wind speed, sunlight and power grid load requirements;

[0014] An energy storage system is configured to cope with the situation of low wind speed or insufficient solar power generation. The energy storage system provides backup power to ensure the stability of power supply;

[0015] Through an operation and maintenance mode that combines remote monitoring and drone inspection, ensure the normal operation and efficient maintenance of wind turbines, photovoltaic panels and energy storage devices.

[0016] Furthermore, the wind speed data is collected by a sonic anemometer (SODAR) device, and the wind energy density P is calculated based on the collected data to evaluate the wind energy resources. The formula is as follows:

[0017]

[0018] Among them, ρ is the air density, A = πr 2 is the swept area of the fan blade, and v is the wind speed.

[0019] Furthermore, in this method, the rated power of the high-power wind turbine is calculated by the following formula:

[0020]

[0021] Among them, v rated is the rated wind speed of the wind turbine.

[0022] Furthermore, the total power generation P of the small wind farm total is calculated by the following formula:

[0023] P total = N small · P small

[0024] Among them, N small is the number of wind turbines in the small wind farm, and P small is the power generation of each small wind turbine.

[0025] Furthermore, the total power generation P of the solar photovoltaic system pv is calculated by the following formula:

[0026] P pv = G · A pv · η pv

[0027] Among them, G is the regional radiation intensity, A pv is the total area of the photovoltaic panels, and η pv is the efficiency of the photovoltaic panels.

[0028] Furthermore, for the complementary power generation mode of wind energy and solar energy, the power generation capacity is calculated by the following formula:

[0029] P total = P wind + P solar + P storage

[0030] Among them, P total is the total power generation of the system, P wind is the power generation of the wind power system, P solar is the power generation of the solar energy system, and P storage is the power provided by the energy storage system.

[0031] Furthermore, the total energy capacity E of the energy storage system total is calculated by the following formula:

[0032] E total = P demand · t backup

[0033] Among them, P demand is the average demand power of the power grid, and t backup is the standby time required for the energy storage system.

[0034] Furthermore, the intelligent dispatch system conducts power dispatch using intelligent dispatch algorithms based on real-time meteorological data and grid load demands to ensure grid load balance; the grid load P load (t) is calculated by the formula:

[0035] P load (t) = P base + P weather (t)

[0036] wherein, P base is the basic power demand, and P weather (t) is the change in power demand under the influence of weather factors.

[0037] Furthermore, the charge and discharge efficiency η of the energy storage system battery is considered in the system capacity design, and the effective capacity of the energy storage system is calculated by the following formula:

[0038] E effective = E total · η battery

[0039] wherein, η battery is the charge and discharge efficiency of the energy storage system.

[0040] Furthermore, the operation and maintenance system combines remote monitoring and drone inspections, analyzes the operating status of equipment through artificial intelligence algorithms, and conducts fault early warning and diagnosis to ensure the efficient operation of wind turbines, photovoltaic systems, and energy storage systems.

[0041] Advantages of the present invention: By organically combining high-power wind turbines, small wind farms, solar photovoltaic systems, and energy storage systems, and adopting intelligent dispatch and efficient operation and maintenance means, the present invention can effectively disperse the power generation instability caused by wind speed fluctuations, improve the complementarity of wind energy and solar energy, and ensure the stability of power supply. This method not only improves the overall power generation efficiency and reliability of mountain wind farms, but also reduces construction and operation costs by optimizing resource allocation and dispatch strategies, and has significant economic and environmental advantages. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings in the following description are only those of the present invention, and those of ordinary skill in the art can also obtain other drawings based on these drawings without creative efforts.

[0043] Figure 1 It is a schematic layout diagram of a wind farm according to an embodiment of the present invention;

[0044] Figure 2 Schematic diagram of complementary power generation of wind energy and solar energy according to an embodiment of the present invention;

[0045] Figure 3 Schematic diagram of intelligent scheduling and power integration according to an embodiment of the present invention;

[0046] Figure 4 Schematic diagram of interconnection between the energy storage system and the power grid according to an embodiment of the present invention;

[0047] Figure 5 Schematic diagram of remote monitoring and operation and maintenance according to an embodiment of the present invention;

[0048] Figure 6 Schematic diagram of the construction process of a wind farm according to an embodiment of the present invention. Detailed implementation manners

[0049] The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. At the same time, it should be noted here that in order to make the embodiments more detailed, the following embodiments are the best and preferred embodiments. For some well-known technologies, those skilled in the art can also adopt other alternative methods for implementation; moreover, the accompanying drawings are only for more specifically describing the embodiments, and are not intended to specifically limit the present invention.

[0050] It should be noted that in the specification, references to "one embodiment", "an embodiment", "exemplary embodiment", "some embodiments", etc. indicate that the described embodiment may include a specific feature, structure, or characteristic, but not necessarily every embodiment includes the specific feature, structure, or characteristic. Additionally, when combining an embodiment to describe a specific feature, structure, or characteristic, implementing such a feature, structure, or characteristic in combination with other embodiments (whether explicitly described or not) should be within the knowledge of those skilled in the relevant art.

[0051] Generally, the terms can be understood at least in part from their use in the context. For example, at least in part depending on the context, the term "one or more" used herein can be used to describe any feature, structure, or characteristic in a singular sense, or can be used to describe a combination of features, structures, or characteristics in a plural sense. Additionally, the term "based on" can be understood as not necessarily intended to convey a set of exclusive factors, but rather, at least in part depending on the context, allowing for the existence of other factors that may not be explicitly described.

[0052] Refer to Figures 1 to 6 , a method for constructing a mountain wind farm based on large-power wind turbine generators,

[0053] By evaluating the wind speed data at different locations within the mountainous area, select a suitable area for the layout of wind turbine units;

[0054] Large-scale wind turbines (single-unit power ≥ 3.0 MW) are arranged in areas with high and stable wind speeds, while small-scale wind turbines (single-unit power 1.0 MW to 2.0 MW) are arranged in areas with large wind speed fluctuations, thus dispersing the risks brought by wind speed fluctuations;

[0055] Combined with the solar energy resources in the region, a photovoltaic power generation system and a wind power generation system are used for complementary power generation to improve power generation stability and ensure continuous power supply to the power grid;

[0056] An intelligent dispatching system is adopted to optimize the dispatching of wind power, solar energy and energy storage systems according to real-time meteorological data, wind speed, sunlight and power grid load demand;

[0057] An energy storage system is configured to cope with the situation of low wind speed or insufficient solar power generation. The energy storage system provides backup power to ensure the stability of power supply;

[0058] Through an operation and maintenance mode combining remote monitoring and drone inspection, the normal operation and efficient maintenance of wind turbines, photovoltaic panels and energy storage devices are ensured.

[0059] Refer to Figure 1 , the site selection and layout of the wind farm

[0060] Regional wind speed assessment and wind speed data collection: Use lidar (LIDAR) or acoustic wind speed detector (SODAR) equipment to measure and collect wind speed in mountainous areas, and monitor the wind speed distribution, wind speed fluctuation range and wind direction change in each area. The data collection points should be arranged at locations with different altitudes, height differences and obvious terrain features within the wind farm construction area to ensure that the obtained wind speed data is representative. According to the measured data, use wind resource assessment software for data analysis to generate the annual average value of wind speed, wind speed distribution curve and wind speed fluctuation intensity map;

[0061] The wind energy density P is used to evaluate the wind energy resources, and the formula is as follows:

[0062]

[0063] Among them, P is the wind energy density per unit area (W / m 2 ), ρ is the air density (1.225 kg / m 3 ), A = πr 2 is the swept area of the fan blade, where r is the radius of the fan blade (m), and v is the wind speed; According to the measured wind speed data, calculate the wind energy resources of the wind farm, generate the annual average wind speed, wind speed distribution curve and wind speed fluctuation intensity map, and the data determines the layout and selection of the fan.

[0064] Wind farm layout: Based on the results of wind speed resource assessment, select areas with relatively stable wind speeds and rich wind resources as the construction areas for wind farms. The specific layout is as follows:

[0065] Layout of high-power wind turbines: Arrange high-power wind turbines (single-unit power ≥ 3.0 MW) in areas with high wind speeds and strong winds. These turbines adopt tall tower designs, and the fan blades are designed to adapt to different wind speed ranges, enabling effective capture of wind energy in high-wind areas;

[0066] The rated power calculation formula for high-power wind turbines is:

[0067] P rated is the rated power of the wind turbine (W), and v rated is the rated wind speed of the fan (usually 12 - 14 m / s).

[0068] Layout of small wind farms: Arrange 2 or more small wind farms in areas with low wind speeds and large wind speed fluctuations. Each small wind farm is equipped with wind turbines with a power of 1.0 MW to 2.0 MW. Through the decentralized layout of these small wind farms, the wind speed fluctuations between different regions can be balanced with each other, avoiding being overly affected by a single wind speed change in a single wind farm;

[0069] The total power generation of the small wind farm, P total can be calculated by the following formula:

[0070] P total =N small ·P small

[0071] where N small is the number of wind turbines in the small wind farm, and P small is the power generation of each small wind turbine.

[0072] Terrain optimization layout: Based on the geographical characteristics of the mountains (ridge, canyon), reasonably select the installation locations of wind turbines. The wind flow in the ridge area is relatively stable, and high-power wind turbines can be selected; while the wind speed fluctuates greatly in the valley and at the foot of the mountain, and small wind farms are preferably arranged.

[0073] Refer to Figure 2 , Complementary power generation of wind energy and solar energy

[0074] Solar Photovoltaic System Design and Layout: In the open spaces of the wind farm or around the wind turbines, solar photovoltaic panels are arranged, using monocrystalline or polycrystalline photovoltaic modules, with a total installed capacity not less than 20% of the total installed capacity of the wind farm. According to the annual average sunshine hours in the region, the optimal tilt angle of the photovoltaic panels is determined, usually using a tilt angle of 30° to 40°. The arrangement of the photovoltaic panels should avoid blocking the blades of the wind turbines and be able to provide power supplementation during the day;

[0075] Solar photovoltaic panels are arranged in the open spaces of the wind farm or around the wind turbines, and the area and installation angle are determined according to the annual average sunshine hours and geographical conditions. The solar power generation power P pv is given by the following formula:

[0076] P pv = G·A pv ·η pv

[0077] where G is the regional radiation intensity, A pv is the total area of the photovoltaic panels, and η pv is the efficiency of the photovoltaic panels.

[0078] Complementary Power Generation Mode: On sunny days and during good daytime weather, the solar photovoltaic power generation system can provide stable power to the grid; while at night or on rainy and cloudy days, the wind power system comes into play, especially during periods of strong wind. Through the combination of the two, the power demand can be balanced under different weather conditions to ensure continuous power supply to the grid;

[0079] For the complementary power generation mode of wind energy and solar energy, the power generation capacity is calculated by the following formula:

[0080] P total = P wind + P solar + P storage

[0081] where P total is the total power generation power of the system, P wind is the power generation power of the wind power system, P solar is the power generation power of the solar energy system, and P storage is the power provided by the energy storage system.

[0082] Refer to Figure 3 , Intelligent Scheduling and Power Integration

[0083] Intelligent Dispatch System Design: Construct an intelligent dispatch system that integrates wind speed data, solar radiation data, wind farm power generation data, and grid load data. The system uses advanced prediction algorithms, combines meteorological forecasts and historical wind speed data, and conducts intelligent dispatch of wind farms and photovoltaic power generation systems. The dispatch system can monitor the power generation status of each wind farm and photovoltaic system in real time, adjust the power output of each system according to the actual situation, and ensure the stability of the grid power supply;

[0084] The intelligent dispatch system conducts power dispatch using intelligent dispatch algorithms based on real-time meteorological data and grid load requirements to ensure grid load balance; the grid load P load (t) is calculated by the formula:

[0085] P load (t) = P base +P weather (t)

[0086] where, P base is the basic power demand, and P weather (t) is the change in power demand under the influence of weather factors.

[0087] Dispatch Strategy: When the wind speed is low or solar energy is insufficient, the dispatch system automatically increases the power generation output of the wind farm or starts the energy storage device for power supply; when the wind speed is high or photovoltaic power generation is strong, the system can adjust some wind turbines to stop or store the excess power through the energy storage system to avoid grid overload.

[0088] Power Demand Response: Through the real-time connection with the grid, the system can quickly respond to grid load fluctuations, provide more power support during high power demand periods, and ensure grid load balance.

[0089] Refer to Figure 4 , the energy storage system is interconnected with the grid

[0090] Energy Storage System Integration: Each wind farm is equipped with energy storage devices (such as lithium battery energy storage systems, flywheel energy storage systems, etc.) to store the excess electrical energy of wind power and solar energy. The total capacity of the energy storage system is designed to be 10% to 20% of the rated power generation of the wind farm to ensure stable power output under low wind speed or insufficient light conditions;

[0091] The total energy capacity E total of the energy storage system is calculated by the following formula:

[0092] E total = P demand ·t backup

[0093] where, E total is the total energy capacity of the energy storage system (Wh), and Pdemand is the average demand power (W) of the power grid, and t backup is the backup time (hours) required for the energy storage system; according to the load fluctuations of the power grid and the charge-discharge efficiency of the energy storage system, the energy storage system can effectively provide power support to ensure the balance and stability of the power grid.

[0094] Function of the energy storage device: The energy storage system charges when the wind speed is strong and releases electrical energy when the wind speed is weak or the photovoltaic power generation is insufficient at night, ensuring stable power supply to the power grid. Through the regulation of the energy storage system, power shortages caused by wind speed fluctuations and lack of light at night are avoided.

[0095] Grid interconnection and power dispatching: The wind farm is interconnected with the local power grid, and the cross-regional power dispatching system can adjust the power distribution according to power demand and generation conditions. When the wind speed is low in a certain area, the power dispatching system automatically dispatches power resources from other wind farms or solar power plants to ensure the balance and stability of the grid load.

[0096] Construction and installation

[0097] Equipment transportation and installation: Considering the complexity of the mountain environment, it is necessary to build transportation roads in advance to ensure that the wind turbines and photovoltaic panels can be smoothly transported to the installation site. When transporting wind turbine units, special transportation vehicles or crawler cranes are used for equipment hoisting.

[0098] Foundation construction and wind turbine installation: According to the mountain geological conditions, deep pile foundations or gravity foundations are used for wind turbine installation. The specific installation method is designed according to the soil type, geological exploration report and technical requirements of the wind turbine to ensure that the wind turbine can operate stably in a strong wind environment.

[0099] Operation and maintenance

[0100] Refer to Figure 5 , Remote monitoring and operation and maintenance: Through the remote monitoring system inside the wind farm, the operating status of wind turbines, solar panels and energy storage systems is tracked in real time. This system can automatically diagnose equipment failures, monitor the health status of equipment, and provide operation and maintenance suggestions. When a fault occurs, the system will automatically issue an alarm to notify the maintenance personnel for repair.

[0101] UAV inspection and artificial intelligence operation and maintenance: Regularly use UAVs to inspect wind turbine units and photovoltaic panels, check the operating conditions of equipment such as wind turbine blades, towers, and photovoltaic panels, and cooperate with artificial intelligence analysis technology for data processing to ensure the normal operation of equipment and detect potential faults in advance.

[0102] Economic benefit analysis

[0103] The economic benefits of the project are evaluated by calculating the internal rate of return (IRR) and calculated using the net present value method (NPV):

[0104]

[0105] Wherein:

[0106] NPV is the net present value;

[0107] R t is the income (power generation income) in the t-th year;

[0108] IRR is the internal rate of return;

[0109] I0 is the initial investment cost;

[0110] n is the life cycle (years) of the project;

[0111] By optimizing the configuration of wind power and solar energy, the power fluctuation is reduced, and the overall yield and return on investment of the project are improved.

[0112] The method for constructing a mountain wind farm proposed by the present invention, through the rational layout of the organic combination of high-power wind turbines, small wind farms, solar photovoltaic power generation, intelligent scheduling and energy storage systems, not only effectively balances the wind speed fluctuation and power demand, but also improves the stability and economic benefits of power supply, and has good application prospects.

[0113] The present invention covers any alternatives, modifications, equivalent methods and solutions made on the essence and scope of the present invention. For the public to have a thorough understanding of the present invention, specific details are described in detail in the following preferred embodiments of the present invention, and those skilled in the art can fully understand the present invention without these detailed descriptions. In addition, in order to avoid unnecessary confusion to the essence of the present invention, well-known methods, processes, procedures, components and circuits are not described in detail.

[0114] The above are only the preferred embodiments of the present invention, and it should be pointed out that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A construction method for a mountain wind farm based on high-power wind turbine generators, characterized in that: By evaluating the wind speed data at different locations within the mountainous area, select a suitable area for the layout of wind turbine generators; Arrange high-power wind turbine generators (single-unit power ≥ 3.0 MW) in areas with higher and stable wind speeds, and arrange small-scale wind turbine generators (single-unit power 1.0 MW to 2.0 MW) in areas with larger wind speed fluctuations, so as to disperse the risks brought by wind speed fluctuations; Combined with the solar energy resources in the area, adopt a photovoltaic power generation system and a wind power generation system for complementary power generation to improve power generation stability and ensure continuous power supply to the power grid; Adopt an intelligent dispatching system to optimize the dispatching of wind power, solar energy and energy storage systems according to real-time meteorological data, wind speed, light and power grid load demand; Configure an energy storage system to cope with the situation of low wind speed or insufficient solar power generation. Provide backup power through the energy storage system to ensure the stability of power supply; Through an operation and maintenance mode that combines remote monitoring and drone inspection, ensure the normal operation and efficient maintenance of wind turbine generators, photovoltaic panels and energy storage devices.

2. A method for constructing a mountain wind farm based on a high-power wind turbine generator set according to claim 1, characterized in that, The wind speed data is collected by a sodar (SODAR) device, and the wind energy density P is calculated based on the collected data to evaluate the wind energy resources. The formula is as follows: where ρ is the air density, A = πr 2 is the swept area of the fan blade, and v is the wind speed.

3. A construction method of a mountain wind farm based on a high-power wind turbine generator set according to claim 1, characterized in that, In this method, the rated power of the high-power wind turbine generator is calculated by the following formula: Among them, v rated is the rated wind speed of the fan.

4. A method for constructing a mountain wind farm based on a high-power wind turbine generator set according to claim 1, characterized in that, The total power generation P of the small wind farm total is calculated by the following formula: P total = N small ·P small Among them, N small is the number of wind turbines in a small wind farm, and P small is the power generation capacity of each small wind turbine.

5. A method for constructing a mountain wind farm based on a high-power wind turbine generator set according to claim 1, characterized in that, The total power generation of the solar photovoltaic system, P pv is calculated by the following formula: P pv = G·A pv ·η pv Among them, G is the regional radiation intensity, A pv is the total area of the photovoltaic panel, and η pv is the efficiency of the photovoltaic panel.

6. A method for constructing a mountain wind farm based on a high-power wind turbine generator set according to claim 1, characterized in that For the complementary power generation mode of wind energy and solar energy, the power generation capacity is calculated by the following formula: P total = P wind + P solar + P storage Among them, P total is the total power generation of the system, P wind is the power generation of the wind power system, P solar is the power generation of the solar power system, P storage is the power provided by the energy storage system.

7. A method for constructing a mountain wind farm based on a high-power wind turbine generator set according to claim 1, characterized in that, The total energy capacity E of the energy storage system total is calculated by the following formula: E total = P demand · t backup Among them, P demand is the average demand power of the power grid, and t backup is the required standby time of the energy storage system.

8. A method for constructing a mountain wind farm based on a high-power wind turbine generator set according to claim 1, characterized in that The intelligent dispatching system conducts power dispatching by using an intelligent dispatching algorithm based on real-time meteorological data and grid load demands to ensure grid load balance; the grid load P load (t) is calculated by the following formula: P load P(t) = P base + P weather P(t) Among them, P base is the basic power demand, and P weather (t) is the change in power demand affected by weather factors.

9. A method for constructing a mountain wind farm based on a high-power wind turbine generator set according to claim 1, characterized in that, The charge-discharge efficiency η of the energy storage system battery is considered in the system capacity design, and the effective capacity of the energy storage system is calculated by the following formula: E effective = E total · η battery Among them, η battery is the charge-discharge efficiency of the energy storage system.

10. A method for constructing a mountain wind farm based on a high-power wind turbine generator set according to claim 1, characterized in that, The operation and maintenance system combines remote monitoring and drone inspection, analyzes the operation status of equipment through artificial intelligence algorithms, and conducts fault early warning and diagnosis to ensure the efficient operation of wind turbine generators, photovoltaic systems and energy storage systems.

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