Offshore wind power broadband oscillation system and analysis method thereof

Abstract

The invention relates to the technical field of offshore wind power, in particular to an offshore wind power broadband oscillation system and an analysis method thereof.The offshore wind power broadband oscillation system comprises at least one wind turbine generator and a synchronous phase modifier connected with the wind turbine generator, and output power of the wind turbine generator is adjusted through the synchronous phase modifier to achieve broadband oscillation suppression. The synchronous phase modifier is connected with the power grid, and the power factor of the system is adjusted by adjusting the exciting current of the generator, so that the stability of the power grid is improved, and oscillation generated by the offshore wind power system in a broadband range is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of offshore wind power, and in particular to an offshore wind power broadband oscillation system and an analysis method thereof. Background Art

[0002] The offshore wind power broadband oscillation system is a system specially designed to reduce the broadband oscillation phenomenon generated during the operation of offshore wind farms. The operation of offshore wind farms is affected by many factors, including changes in sea conditions, wind speed fluctuations, load fluctuations of wind turbines, etc. These factors may cause broadband oscillations (i.e., multi-band oscillation phenomena), affecting the stability of the power grid and the safe operation of wind turbines. Therefore, designing and implementing an effective broadband oscillation suppression system has become an important technical means to improve the stability of offshore wind farms. The system is suitable for the regulation of offshore wind farms and their grid-connected power grids. In practical applications, the wind turbines in the wind farm work in coordination with the synchronous condenser, which can effectively reduce the broadband oscillations caused by wind speed fluctuations or load fluctuations, and improve the power quality and stability of the grid after the wind farm is connected to the grid. The advantage is that it improves the stability of the grid: by effectively suppressing frequency fluctuations and oscillations, the stability of the grid after the wind farm is connected to the grid is improved. Reduce equipment loss: by optimizing system parameters and improving response speed, mechanical fatigue and electrical equipment loss caused by oscillation are reduced. Improve wind farm efficiency: By suppressing oscillations, wind turbines can operate more stably, improving the power generation efficiency and economic benefits of wind farms.

[0003] The existing offshore wind power broadband oscillation system and its analysis method are currently deficient in terms of stability and grid-connected efficiency, which are mainly reflected in the following aspects: Oscillation mode recognition lag: The existing system has a response lag when performing frequency and oscillation analysis between wind turbines and the power grid. This results in the system being unable to quickly identify and adjust when disturbances such as wind speed changes and load fluctuations occur, which may lead to larger oscillations and affect the stability of the power grid. Limitations of damping ratio adjustment: Although synchronous phase regulators can reduce the oscillation amplitude by adjusting the damping ratio, in offshore wind farms, due to the uncertainty of wind speed changes and power grid loads, the existing adjustment methods may not be able to achieve accurate real-time adjustment, resulting in oscillations that cannot be completely eliminated or are insufficiently attenuated. Insufficient moment of inertia: The moment of inertia of wind turbines is usually small, especially in offshore wind farms. After a large number of wind turbines are connected, the moment of inertia of the overall system is small, resulting in a weak response of the system to sudden disturbances, which easily leads to frequency fluctuations and oscillations.

[0004] In view of the above situation, in order to overcome the above technical problems, the present invention designs an offshore wind power broadband oscillation system and an analysis method thereof to solve the above technical problems. Summary of the invention

[0005] The technical purpose of this invention is to effectively reduce the broadband oscillation of wind farms and improve the stability of power grids through synchronous phase condensers, damping ratio adjustment, moment of inertia optimization and other technical means. With the development of wind power technology, especially the expansion of offshore wind power, this oscillation suppression system will become an important part of ensuring system stability and improving the efficiency of offshore wind farms connected to the grid.

[0006] In order to achieve the above technical objectives, the present invention provides the following technical solutions:

[0007] An offshore wind power broadband oscillation system comprises at least one wind turbine set and a synchronous phase condenser connected thereto. The output power of the wind turbine set is adjusted by the synchronous phase condenser to suppress broadband oscillation. The synchronous phase condenser is connected to a power grid and adjusts the power factor of the system by adjusting the excitation current of the generator, thereby improving the stability of the power grid and reducing the oscillation generated by the offshore wind power system within a broadband range.

[0008] Preferably, the wind turbines adopt a grid-type connection method, in which multiple units are connected in series or in parallel to form a unified power grid system. The grid-type connection method can effectively improve the overall anti-disturbance capability of the offshore wind power system, reduce the frequency fluctuations caused by changes in offshore wind speed, and thereby reduce the broadband oscillation phenomenon of the wind turbines.

[0009] Preferably, the system has an adaptive regulation mechanism, which automatically adjusts the output power of each wind turbine in the system and the parameter settings of the phase regulator by real-time monitoring of wind speed, sea conditions and grid frequency fluctuations, so as to achieve optimal operation of the system and avoid or reduce frequency instability caused by load fluctuations or environmental changes.

[0010] Preferably, the synchronous phase regulator is configured with a real-time measurement function, which can monitor the frequency changes of the system and feed back the change data to the power grid management system to adjust the power distribution and load balance of the power grid, ensure the stability of the system within a wide frequency range, and reduce the adverse effects of frequency oscillations.

[0011] Preferably, the damping ratio of the synchronous condenser is adjustable, and the adjustment of the damping ratio is achieved by adjusting the excitation current and load feedback mechanism of the synchronous condenser, thereby optimizing the dynamic response characteristics of the system, improving the energy dissipation capacity of the system when oscillation occurs, and reducing the amplitude and duration of broadband oscillations.

[0012] Preferably, the system also includes multiple wind turbines with different rotational inertia to adapt to dynamic adjustment requirements under different wind speeds and sea conditions. The wind turbines with different rotational inertia can change the power generation power and rotation speed in a short time, reduce the impact of the wind turbines on grid frequency fluctuations, and improve the response speed and stability of the system.

[0013] Preferably, the above-mentioned wind turbine is connected to the power grid via a power electronic converter with adaptive adjustment function, and the power electronic converter can automatically adjust the working mode according to the power grid frequency and the output power of the wind turbine, thereby reducing the low-frequency and high-frequency oscillations generated by the wind turbine and improving the overall stability and power supply quality of the power grid.

[0014] Preferably, the wideband oscillation suppression strategy of the system optimizes the load demand of the power grid and the output power of the wind turbine in real time, and adopts a multi-level feedback control algorithm to reduce the frequency fluctuations caused by large-scale wind power grid connection and achieve power balance of the power grid, thereby improving the anti-interference ability and stability of the entire system.

[0015] Preferably, the synchronous phase regulator of the wind turbine set is connected to the power grid via a high-speed communication network, and can exchange parameters such as power grid frequency, power, and load in real time. The regulation capability of the phase regulator matches the frequency regulation capability of the power grid, ensuring a rapid response when an abnormality occurs in the system, stabilizing the power grid and reducing the oscillation amplitude.

[0016] An analysis method for an offshore wind power broadband oscillation system, the steps of the method are as follows:

[0017] S1: Collect real-time operating data of offshore wind farms, including wind speed, wind direction, wind turbine output power, rotation speed, grid frequency and other parameters. Through sensors and data acquisition systems installed at wind turbines and grid nodes, the operating status of offshore wind farms is fully monitored. This data will provide a basis for subsequent analysis to ensure accurate evaluation of the system's working conditions under different environmental conditions;

[0018] S2: Based on the collected real-time data, the broadband oscillation characteristics of the wind farm are extracted and analyzed through spectrum analysis methods. Using methods such as power spectrum density (PSD), the low-frequency or high-frequency oscillation modes that may exist in the system are identified, and the amplitude, period, and time period of the oscillation frequency are evaluated. By comparing with the synchronous frequency of the power grid, the oscillation characteristics of the system under normal and abnormal conditions are diagnosed to provide data support for system optimization;

[0019] S3: Combine the moment of inertia of the wind turbine and the damping ratio of the synchronous condenser to optimize the dynamic response characteristics. Based on the analyzed broadband oscillation mode, adjust the excitation current of the synchronous condenser and adjust the moment of inertia configuration to achieve the optimal damping ratio configuration. The purpose of this step is to improve the energy dissipation capacity of the system, reduce the amplitude of broadband oscillation, and enable the system to maintain high stability under different working conditions;

[0020] S4: Based on the above frequency oscillation analysis and damping ratio optimization results, implement the system's dynamic adjustment strategy. Through the grid load prediction model, optimize the matching between the output power of the wind turbine and the grid power, and adjust the parameters of the synchronous condenser to ensure that the energy transmission between the wind farm and the grid is as smooth as possible under different load and sea conditions to avoid the system from entering an unstable state;

[0021] S5: Perform performance evaluation based on the system's operating results, including the evaluation of oscillation suppression effects, the dynamic response capabilities of wind turbines, and the degree of improvement in grid stability. Combine actual operating data with theoretical analysis to perform feedback optimization. For the deficiencies of wind turbines or phase regulators under specific operating conditions, make further optimization suggestions, such as adjusting the unit's moment of inertia, increasing the adjustment range of synchronous phase regulators, etc., to continuously improve the system's anti-interference ability and operating efficiency.

[0022] The beneficial effects of the present invention are as follows:

[0023] (1) The present invention optimizes the regulation process of wind turbines and synchronous phase regulators by setting up a multi-level feedback control algorithm (such as adaptive control or predictive control). This method quickly responds to wind speed changes and grid frequency fluctuations by real-time feedback of system status, thereby improving the response speed of the system and reducing the oscillation amplitude. By deploying advanced sensor networks and weather forecasting systems, environmental factors such as wind speed, wind direction, and sea conditions are monitored in real time, and this information is fed back to the control system. Meteorological forecast models are used to predict short-term wind speed changes, and power regulation is performed in advance to avoid broadband oscillations caused by sudden wind speed changes.

[0024] (2) The present invention uses a power dispatching method based on machine learning or optimization algorithms to optimize the output power of wind turbines in real time. This method can more accurately match the power output of wind turbines with the load demand of the power grid, reduce power fluctuations, and improve grid connection efficiency. High-efficiency synchronous phase regulators are used to improve their excitation current regulation accuracy and response speed, further enhance their ability to regulate reactive power, and enhance the damping ratio of the system to improve the dynamic stability of the wind power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0026] The above and other aspects of the present invention will now be described, by way of example only, with reference to the accompanying drawings, in which:

[0027] Figure 1 It is a schematic diagram of the system flow of the present invention;

[0028] Figure 2 It is a schematic diagram of the system structure of the present invention;

[0029] Figure 3 It is a schematic flow chart of the method of the present invention. DETAILED DESCRIPTION

[0030] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0031] like Figure 1-3 As shown, an offshore wind power broadband oscillation system is designed to solve the broadband oscillation problem caused by factors such as wind speed fluctuations and load fluctuations during the operation of offshore wind farms. The system includes at least one wind turbine and a synchronous phase regulator connected thereto. During the operation of the wind turbine, its output power will be affected by external factors such as wind speed and sea conditions, which may cause power fluctuations and generate broadband oscillations, thereby affecting the stability of the power grid. In order to solve this problem, the output power of the wind turbine will be adjusted by a synchronous phase regulator. The synchronous phase regulator is a reactive power regulation device that can adjust the power factor of the wind turbine by adjusting the excitation current, thereby optimizing the frequency response and stability of the system.

[0032] The synchronous condenser is connected to the power grid and can monitor the frequency changes of the power grid in real time and adjust the power output of the system according to the power grid demand. When the system frequency fluctuates, the synchronous condenser will automatically adjust the excitation current and reactive power to reduce the amplitude of oscillation, enhance the damping effect of the system, and ensure that the power grid remains in a stable state. This regulation can not only improve the stability of the power grid, but also effectively reduce the oscillations generated by the offshore wind power system in a wide frequency range, reduce the mechanical burden of the wind turbine, extend its service life, and thus improve the overall operating efficiency and reliability of the wind farm.

[0033] The wind turbines adopt a grid-type connection mode, specifically, a unified power grid system is formed by connecting multiple wind turbines in series or in parallel. This grid-type connection mode can not only enhance the synergy between wind turbines, but also effectively enhance the overall anti-disturbance capability of the entire offshore wind power system. Through the joint operation of multiple units, the system can achieve power balance and regulation under different wind speed and load conditions, thereby reducing the frequency fluctuations caused by changes in offshore wind speed. Especially in the case of large changes in wind speed, the output power of multiple wind turbines can be adjusted and compensated with each other to avoid excessive fluctuations caused by sudden changes in wind speed in a single unit, thereby effectively reducing the occurrence of broadband oscillation. This system structure not only improves the stability of the wind farm, but also reduces the negative impact on the power grid, so that the wind turbines can be connected to the grid more smoothly, and the power generation efficiency of the wind farm and the power supply quality of the power grid are improved.

[0034] The system has an adaptive adjustment mechanism that can automatically adjust according to the real-time monitoring data to ensure the optimal operation of the system under different working conditions. The mechanism obtains the system status information in real time by continuously monitoring key parameters such as wind speed, sea conditions, and grid frequency fluctuations. When environmental changes or grid frequency fluctuations are detected, the system automatically adjusts the output power of the wind turbine and adjusts the parameter settings of the synchronous phase regulator according to actual needs. Specifically, the power output of the wind turbine will be dynamically adjusted according to the wind speed changes to ensure the power balance between the wind turbine and the grid and avoid frequency instability caused by sudden changes in wind speed. At the same time, the excitation current and reactive power of the phase regulator will also be optimized to enhance the damping capacity of the system, thereby suppressing frequency oscillations caused by load fluctuations or changes in sea conditions. Through this adaptive adjustment mechanism, the system can flexibly respond to different load fluctuations and environmental changes, ensure the stable operation of the grid, and minimize the frequency fluctuations and oscillations of the wind turbine.

[0035] The synchronous condenser is equipped with advanced real-time measurement functions, which can accurately monitor the frequency changes of the wind power system. This measurement system collects grid frequency fluctuation data in real time through high-precision sensors, and quickly feeds back these change information to the grid management system. Through close linkage with the grid management system, the synchronous condenser can provide the system with timely and accurate frequency fluctuation data support, thereby helping the grid management system to respond quickly. According to the monitored frequency changes, the grid management system can dynamically adjust the power distribution and load balance of the grid to ensure that the grid remains stable within a wide frequency range. The synchronous condenser can not only adjust the reactive power output in the case of load changes or wind speed fluctuations, enhance the regulation ability of the grid, but also effectively reduce the amplitude of frequency oscillations, thereby reducing the adverse effects of these oscillations, such as equipment loss, power quality degradation and grid instability. Through this real-time feedback mechanism, the system can correct deviations in a timely manner to ensure that the coordinated operation of wind farms and grids is more stable and reliable, and improve the stability and operation efficiency of the entire power system.

[0036] The damping ratio of the synchronous condenser is adjustable, and this adjustment function is achieved by adjusting the excitation current and load feedback mechanism of the synchronous condenser. The excitation current of the synchronous condenser directly affects its reactive power output and regulation capability. By optimizing the magnitude of the excitation current, the damping ratio can be effectively adjusted, thereby enhancing the stability of the system. The load feedback mechanism monitors the load changes of the power grid and feeds back the frequency fluctuation information of the power grid in real time, helping the synchronous condenser to make precise adjustments. When the system oscillates, appropriately increasing the damping ratio can improve the energy dissipation capacity of the system, quickly suppress the oscillation and prevent it from continuing to spread. By accurately controlling the adjustment of the damping ratio, the system can effectively reduce the amplitude and duration of broadband oscillations, reduce the negative impact on the power grid and wind turbines, and avoid equipment damage or power grid instability caused by excessive frequency fluctuations. At the same time, the adjusted damping ratio can also improve the dynamic response characteristics of the wind turbine in the face of sudden disturbances, making the coordination between the wind farm and the power grid more efficient, and further optimizing the overall operating efficiency and stability of the system.

[0037] The system also includes a plurality of wind turbines with different moments of inertia to meet the dynamic adjustment requirements under different wind speeds and sea conditions. Wind turbines with different moments of inertia can play their respective advantages in the system and jointly optimize the operating characteristics of the wind farm. Wind turbines with larger moments of inertia can provide stronger inertial support, and can slowly adjust the power output when encountering sudden wind speed changes or load fluctuations, reducing the impact of severe frequency fluctuations on the power grid. Wind turbines with smaller moments of inertia can respond to frequency changes more quickly and achieve rapid adjustment. During the operation of the wind power system, a plurality of wind turbines with different moments of inertia can work together to quickly change the power generation and speed when the wind speed changes or the load of the power grid fluctuates, thereby effectively reducing the impact of a single unit on the frequency fluctuation of the power grid. In this way, the system can improve the response speed, adjust the output in time, and reduce the occurrence of frequency fluctuations and broadband oscillations. At the same time, the coordination between wind turbines enhances the stability of the entire system, so that the system can maintain stable operation under various complex sea conditions and wind speed changes, thereby improving the grid connection efficiency of offshore wind farms and the overall stability of the power grid.

[0038] The wind turbine is connected to the power grid through a power electronic converter with an adaptive adjustment function, which can monitor the frequency change of the power grid and the output power of the wind turbine in real time. According to these monitoring data, the power electronic converter automatically adjusts its working mode to optimize the operating performance of the wind turbine under different power grid conditions. When the power grid frequency fluctuates, the converter can automatically switch the working mode and adjust the output power to reduce the contribution of the wind turbine to low-frequency and high-frequency oscillations. This adjustment process can effectively suppress the frequency oscillation of the wind turbine caused by factors such as wind speed changes and load fluctuations, and ensure the stability of the power grid frequency. In addition, the power electronic converter further improves the power factor of the power grid through reactive power regulation, enhances the stability of the power grid and the power supply quality. Through this automatic adjustment function, the system can maintain efficient and stable operation in a changeable offshore wind power environment, improve the grid connection capability of the wind farm, and reduce the negative impact on the power grid.

[0039] The broadband oscillation suppression strategy of the system effectively reduces the frequency fluctuations caused by large-scale wind power grid connection by optimizing the real-time scheduling of grid load demand and wind turbine output power. The strategy adopts a multi-level feedback control algorithm, which can be dynamically adjusted according to the real-time status of the grid and the output of the wind turbine, so as to achieve the balance of grid power. Through this precise scheduling, the system can quickly respond to wind speed changes, load fluctuations and other disturbance factors to avoid large frequency fluctuations. At the same time, the feedback control algorithm can optimize the operation mode of the wind turbine and improve its adaptability to grid frequency fluctuations. In the end, the strategy can not only reduce the broadband oscillation phenomenon, but also improve the overall anti-interference ability of the system, enhance the coordination and stability of the wind farm and the grid, and ensure that the system always maintains stable operation in a changing offshore environment.

[0040] The synchronous condenser of the wind turbine is closely connected to the power grid through a high-speed communication network to achieve real-time data exchange. Through this high-speed communication network, the synchronous condenser can obtain key information such as frequency, power, and load of the power grid in real time, and feed back these parameters to the power grid management system to ensure dynamic monitoring of the system status. When the power grid experiences frequency fluctuations or load changes, the synchronous condenser can respond quickly based on the received information and adjust its own reactive power output or excitation current, so as to highly match the frequency regulation capability of the power grid and optimize the overall stability of the system. This highly coordinated regulation capability ensures that when an abnormal situation occurs in the power grid, the system can adjust quickly to avoid excessive frequency fluctuations and reduce system instability or equipment damage caused by frequency oscillations. In addition, the system effectively reduces the amplitude of broadband oscillations and enhances the anti-interference ability of the power grid by adjusting the reactive power and the operating status of the wind turbine in real time, thereby improving the stability and grid-connected efficiency of the entire wind farm.

[0041] An analysis method for an offshore wind power broadband oscillation system, the steps of the method are as follows:

[0042] S1: Collect real-time operating data of offshore wind farms, including wind speed, wind direction, wind turbine output power, speed, grid frequency and other parameters. Through sensors and data acquisition systems installed at wind turbines and grid nodes, the operating status of offshore wind farms is fully monitored. This data will provide a basis for subsequent analysis to ensure accurate evaluation of the system's working conditions under different environmental conditions.

[0043] S2: Based on the collected real-time data, the broadband oscillation characteristics of the wind farm are extracted and analyzed through spectrum analysis methods. Using methods such as power spectrum density (PSD), the low-frequency or high-frequency oscillation modes that may exist in the system are identified, and the amplitude, period, and time period of the oscillation frequency are evaluated. By comparing with the synchronous frequency of the power grid, the oscillation characteristics of the system under normal and abnormal conditions are diagnosed to provide data support for system optimization.

[0044] S3: Combine the moment of inertia of the wind turbine and the damping ratio of the synchronous condenser to optimize the dynamic response characteristics. Based on the analyzed broadband oscillation mode, adjust the excitation current of the synchronous condenser and adjust the moment of inertia configuration to achieve the optimal damping ratio configuration. The purpose of this step is to improve the energy dissipation capacity of the system, reduce the amplitude of broadband oscillation, and enable the system to maintain high stability under different working conditions.

[0045] S4: Based on the above frequency oscillation analysis and damping ratio optimization results, implement the system's dynamic adjustment strategy. Through the grid load prediction model, optimize the matching between the output power of the wind turbine and the grid power, and adjust the parameters of the synchronous condenser to ensure that the energy transmission between the wind farm and the grid is as smooth as possible under different load and sea conditions to avoid the system from entering an unstable state.

[0046] S5: Perform performance evaluation based on the system's operating results, including the evaluation of oscillation suppression effects, the dynamic response capabilities of wind turbines, and the degree of improvement in grid stability. Combine actual operating data with theoretical analysis to perform feedback optimization. For the deficiencies of wind turbines or phase regulators under specific operating conditions, make further optimization suggestions, such as adjusting the unit's moment of inertia, increasing the adjustment range of synchronous phase regulators, etc., to continuously improve the system's anti-interference ability and operating efficiency.

[0047] Various modifications to the present disclosure will be apparent to those of ordinary skill in the art, and the general principles defined herein may be applied to other variations without departing from the scope of the present disclosure. Therefore, the present disclosure is not limited to the examples and designs described herein, but should be given the widest scope consistent with the principles and novel features disclosed herein. Although one or more exemplary embodiments of the present disclosure have been described with reference to the accompanying drawings, it will be understood by those of ordinary skill in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the present disclosure as defined in the appended claims.

Claims

1. An offshore wind power broadband oscillation system, comprising at least one wind turbine and a synchronous phase regulator connected thereto, characterized in that: The output power of the wind turbine is adjusted by a synchronous phase regulator to suppress broadband oscillations. The synchronous phase regulator is connected to the power grid and adjusts the power factor of the system by adjusting the excitation current of the generator, thereby improving the stability of the power grid and reducing the oscillations generated by the offshore wind power system within a broadband range.

2. An offshore wind power broadband oscillation system according to claim 1, characterized in that: The wind turbine generator sets adopt a grid-type connection mode, and a unified power grid system is formed by connecting multiple units in series or in parallel.

3. An offshore wind power broadband oscillation system according to claim 1, characterized in that: The offshore wind power broadband oscillation system has an adaptive regulation mechanism, which automatically adjusts the output power of each wind turbine in the system and the parameter settings of the phase regulator by real-time monitoring of wind speed, sea conditions and grid frequency fluctuations.

4. The offshore wind power broadband oscillation system according to claim 1, characterized in that: The synchronous condenser is equipped with a real-time measurement function, which can monitor the frequency change of the system and feed back the change data to the power grid management system.

5. The offshore wind power broadband oscillation system according to claim 1, characterized in that: The damping ratio of the synchronous condenser is adjustable, and the adjustment of the damping ratio is achieved by adjusting the excitation current and load feedback mechanism of the synchronous condenser.

6. An offshore wind power broadband oscillation system according to claim 1, characterized in that: The system also includes a plurality of wind turbines with different moments of inertia to meet the dynamic adjustment requirements under different wind speeds and sea conditions.

7. An offshore wind power broadband oscillation system according to claim 1, characterized in that: The wind turbine generator set is connected to the power grid via a power electronic converter with an adaptive adjustment function. The power electronic converter can automatically adjust the working mode according to the power grid frequency and the output power of the wind turbine generator set.

8. The offshore wind power broadband oscillation system according to claim 1, characterized in that: The broadband oscillation suppression strategy of the system adopts a multi-level feedback control algorithm by optimizing the load demand of the power grid and the output power of the wind turbine in real time.

9. The offshore wind power broadband oscillation system according to claim 1, characterized in that: The synchronous condenser of the wind turbine set is connected to the power grid via a high-speed communication network, and can exchange parameters such as power grid frequency, power, and load in real time.

10. An analysis method for an offshore wind power broadband oscillation system, used in conjunction with an offshore wind power broadband oscillation system according to any one of claims 1 to 9; characterized in that: The steps of the analysis method of the offshore wind power broadband oscillation system are as follows: S1: Collect real-time operating data of offshore wind farms, including wind speed, wind direction, wind turbine output power, rotation speed, grid frequency and other parameters, and conduct comprehensive monitoring of the operating status of offshore wind farms through sensors and data acquisition systems installed at wind turbines and grid nodes; S2: Based on the collected real-time data, the broadband oscillation characteristics of the wind farm are extracted and analyzed through spectrum analysis methods. The low-frequency or high-frequency oscillation modes that may exist in the system are identified using methods such as power spectral density (PSD), and the amplitude, period, and time period of the oscillation frequency are evaluated. S3: Combine the moment of inertia of the wind turbine and the damping ratio of the synchronous condenser to optimize the dynamic response characteristics. Based on the analyzed wide-band oscillation mode, adjust the excitation current of the synchronous condenser and adjust the moment of inertia configuration to achieve the optimal damping ratio configuration. S4: Based on the frequency oscillation analysis and damping ratio optimization results, the dynamic adjustment strategy of the system is implemented. Through the grid load prediction model, the matching between the output power of the wind turbine and the grid power is optimized, and the parameters of the synchronous condenser are adjusted at the same time; S5: Performance evaluation is conducted based on the operating results of the system, including the oscillation suppression effect, the dynamic response capability of the wind turbines, and the degree of improvement in grid stability. Feedback optimization is conducted based on actual operating data and theoretical analysis, and further optimization suggestions are put forward for the deficiencies of wind turbines or phase regulators under specific working conditions.

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