Automatic identification and suppression method and device for electrical oscillation of wind turbine generator, medium and product

Abstract

The invention provides an automatic identification and suppression method and device for electrical oscillation of a wind turbine generator, a medium and a product, and the method comprises the steps: S1, monitoring the output current of the wind turbine generator in real time, and extracting the oscillation characteristic frequency of non-fundamental-frequency over-limit current when detecting that non-fundamental-wave current exceeds a threshold value; s2, decomposing a wind turbine generator terminal voltage component, an output current component and a wind power plant booster station bus voltage component corresponding to the non-fundamental frequency over-limit current oscillation characteristic frequency; s3, calculating equivalent directional impedance of corresponding characteristic frequency from a unit end to a bus end through wind turbine generator terminal voltage, output current and a wind power plant booster station bus voltage component: when the impedance is greater than 0, judging that the unit is an oscillation source and starting a resonance suppression strategy; and when the impedance is less than or equal to 0, determining that the grid side has an oscillation risk, and uploading an early warning signal to the grid. The invention aims to realize accurate identification and targeted disposal of the oscillation risk of the wind turbine generator and the power grid.

Description

Technical Field

[0001] This invention relates to the field of wind power technology, and in particular to a method, device, medium, and product for automatic identification and suppression of electrical oscillations in wind turbine generators. Background Technology

[0002] With the transformation of the energy structure and the continuous development of the power system, modern power grids are exhibiting significant characteristics of increased structural complexity, diversification of power source types, and dynamic load characteristics. As an important component of clean energy, wind power, while promoting cleaner energy through large-scale integration, also introduces new stability issues due to the extensive use of power electronic converters in wind turbines, particularly a significant increase in the risk of electrical oscillations. These oscillations may be caused by the turbine's own control characteristics or induced by other resonant sources in the power grid, seriously threatening the safe and stable operation of the system.

[0003] Currently, existing technologies for monitoring and suppressing oscillations when wind turbines are connected to the power system have significant shortcomings, mainly in the following three core issues: First, the monitoring capabilities are flawed. Existing systems struggle to achieve online real-time monitoring and analysis of wind turbine grid-connected current, cannot accurately extract key electrical parameters such as the characteristic frequency, amplitude, and phase of abnormal currents, and lack the ability to calculate the output impedance and even the directional impedance of wind turbines. This makes it impossible to accurately distinguish whether the oscillation is caused by the wind turbine itself or other resonant sources on the grid side, often resulting in misidentification or underidentification of resonant sources, making subsequent suppression measures lack specificity.

[0004] Secondly, the suppression strategies are lagging and lack adaptability. Existing suppression methods have high response delays, are usually passively triggered only after oscillations occur, and mostly employ suppression strategies with fixed parameters, making it impossible to dynamically adjust and optimize according to the type, frequency, and intensity of the oscillations. This "one-size-fits-all" suppression method has limited effectiveness and may even exacerbate oscillations under certain operating conditions or affect the normal power generation performance of the unit.

[0005] Finally, the collaborative early warning and decision support capabilities are insufficient. For oscillations caused by non-wind turbine resonant sources (such as other power sources or loads), the existing system struggles to upload early warning signals and oscillation characteristic information to the power grid dispatch center in a timely and complete manner. The delay and incompleteness of information uploads severely affect the dispatch department's accurate assessment and rapid decision-making regarding system oscillation risks, reducing the overall operational efficiency and safety of the power grid.

[0006] In summary, existing technologies face significant bottlenecks in monitoring accuracy, suppression effectiveness, and system coordination when addressing electrical oscillations associated with wind turbines. Therefore, there is an urgent need to develop a comprehensive technological system capable of real-time and accurate monitoring, intelligent identification of oscillation sources, dynamic implementation of suppression strategies, and support for grid-wide collaborative decision-making, in order to effectively ensure the safe and stable operation of high-proportion renewable energy power systems. Summary of the Invention

[0007] The technical problem to be solved by this invention is: in view of the technical problems existing in the prior art, this invention provides a method, device, medium and product for automatic identification and suppression of electrical oscillations in wind turbine units. This invention represents a leap from passive response to active defense, and significantly improves the safe and stable operation level of high-proportion new energy power systems.

[0008] To solve the above-mentioned technical problems, the technical solution proposed by this invention is as follows: A method for automatic identification and suppression of electrical vibration in wind turbine generators includes the following steps: Step S1: Monitor the output current of the wind turbine in real time. When the non-fundamental current exceeds the threshold, extract the characteristic frequency of the non-fundamental frequency over-limit current oscillation. Step S2: Decompose the wind turbine terminal voltage component, output current component, and wind farm substation bus voltage component corresponding to the non-fundamental frequency overcurrent oscillation characteristic frequency. Step S3: Calculate the equivalent directional impedance at the characteristic frequency from the wind turbine terminal to the wind farm bus terminal based on the wind turbine terminal voltage component, output current component, and wind farm substation bus voltage component; when the equivalent directional impedance at the characteristic frequency is greater than 0, determine that the wind turbine is an oscillation source and activate the corresponding wind turbine resonance suppression strategy; when the equivalent directional impedance at the characteristic frequency is less than or equal to 0, determine that there is an oscillation risk on the grid side and upload the oscillation risk warning signal to the grid.

[0009] As a further improvement to the method of the present invention: In step S3, the method for calculating the equivalent directional impedance at the corresponding characteristic frequency from the wind turbine terminal to the wind farm bus terminal based on the wind turbine terminal voltage component, output current component, and wind farm substation bus voltage component is as follows:

[0010]

[0011] In the above formula, This represents the voltage difference at the characteristic oscillation frequency between the wind turbine and the busbar of the wind farm's substation. This refers to the voltage value at the characteristic frequency of the wind turbine's output oscillation. This represents the characteristic frequency voltage value of the busbar oscillation at the wind farm's booster station. This refers to the current value output by the wind turbine to the grid at the characteristic frequency of oscillation. The impedance is the directional impedance at the characteristic frequency of the oscillation.

[0012] As a further improvement to the method of the present invention: in step S3, the wind turbine resonance suppression strategy includes: Step S301: Read the characteristic frequency where the directional impedance is positive, and initialize the enabled electrical resonance suppression module according to the characteristic frequency where the directional impedance is positive; Step S302: Real-time detection of whether the electrical component at the characteristic frequency with positive directional impedance has dropped to within the preset safety limit. If the electrical component drops to within the preset safety limit, the current strategy is maintained and continuous monitoring is performed. If the electrical component does not drop to within the preset safety limit, the electrical resonance suppression strategy is adjusted online, and the adjusted electrical component is re-detected to see if it drops to within the preset safety limit.

[0013] As a further improvement to the method of the present invention: in step S3, the oscillation risk warning signal includes a marker for resonance risk alarm, characteristic frequency and directional impedance data sent to the power grid dispatching system.

[0014] As a further improvement to the method of the present invention: the resonance suppression strategy is automatically started by the local controller of the wind turbine or by receiving a remote command.

[0015] The present invention also provides a computer device, including a processor and a memory, the memory for storing a computer program, and the processor for executing the computer program to perform the automatic identification and suppression method for electrical oscillations of the wind turbine.

[0016] The present invention also provides a computer-readable storage medium storing a computer program / instructions programmed or configured to execute the automatic identification and suppression method for electrical oscillations of the wind turbine generator by a processor.

[0017] The present invention also provides a computer program product, including a computer program / instruction, which is programmed or configured to execute the automatic identification and suppression method for electrical oscillations of the wind turbine generator via a processor.

[0018] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. This invention achieves accurate and automatic identification of oscillation sources by real-time monitoring of wind turbine output current and extracting the characteristic frequency of non-fundamental frequency overcurrent oscillation. Based on the decomposed voltage and current components, it calculates the equivalent directional impedance and employs impedance criteria to fundamentally solve the problem of misidentification or missed identification of resonant sources caused by the inability to calculate directional impedance in existing technologies. Secondly, by establishing a closed-loop automatic control mechanism of "monitoring-identification-suppression," the system immediately initiates corresponding suppression strategies once a turbine oscillation source is identified, significantly reducing response delay and enabling targeted suppression measures based on different characteristic frequencies, thus significantly improving suppression effectiveness. When a grid-side oscillation risk is identified, the system automatically uploads a warning signal containing complete information such as characteristic frequency and impedance characteristics to the grid dispatch center, providing accurate data support for formulating global suppression strategies and effectively enhancing the system's collaborative defense capabilities.

[0019] 2. This invention integrates monitoring, analysis, identification, suppression, and early warning functions into a complete automated processing closed loop, enabling wind turbines to have the ability to self-identify and suppress oscillations. This achieves a fundamental shift from passive response to active defense, providing a reliable guarantee for the safe and stable operation of the power system under the background of high proportion of new energy access. Attached Figure Description

[0020] Figure 1 This is a flowchart of the automatic identification and suppression method for electrical oscillations of wind turbine units in an embodiment of the present invention.

[0021] Figure 2 This is a schematic diagram of the grid connection system of a wind turbine generator according to an embodiment of the present invention.

[0022] Figure 3 This is a flowchart of the wind turbine resonance suppression strategy according to an embodiment of the present invention. Detailed Implementation

[0023] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0024] like Figure 1 As shown, this embodiment provides a method for automatic identification and suppression of electrical oscillations in wind turbine generators, including the following steps: Step S1: Monitor the output current of the wind turbine in real time. When the non-fundamental current exceeds the threshold, extract the characteristic frequency of the non-fundamental frequency over-limit current oscillation. Step S2: Decompose the wind turbine terminal voltage component, output current component, and wind farm substation bus voltage component corresponding to the characteristic frequency of non-fundamental frequency overcurrent oscillation. Step S3: Calculate the equivalent directional impedance at the characteristic frequency from the wind turbine terminal to the wind farm bus terminal based on the wind turbine terminal voltage component, output current component, and wind farm substation bus voltage component; when the equivalent directional impedance at the characteristic frequency is greater than 0, the wind turbine is determined to be an oscillation source, and the corresponding wind turbine resonance suppression strategy is activated; when the equivalent directional impedance at the characteristic frequency is less than or equal to 0, an oscillation risk is determined to exist on the grid side, and an oscillation risk warning signal is uploaded to the grid.

[0025] like Figure 2 As shown, in a wind turbine grid-connected system, multiple wind turbines are connected in parallel to a common collector line, which collects and transmits the electrical energy generated by each turbine. The collected electrical energy is then sent to the main transformer in the wind farm's substation, where it is stepped up to a higher voltage level before finally being connected to the power grid.

[0026] In step S3 of this embodiment, when the wind turbine detects an excessive current at a specific frequency, the method for calculating the equivalent directional impedance at the corresponding characteristic frequency from the wind turbine terminal to the wind farm bus terminal is as follows: (This is based on the wind turbine terminal voltage component, output current component, and wind farm substation bus voltage component.) (1) (2) In the above formula, This represents the voltage difference at the characteristic oscillation frequency between the wind turbine and the busbar of the wind farm's substation. This refers to the voltage value at the characteristic frequency of the wind turbine's output oscillation. This represents the characteristic frequency voltage value of the busbar oscillation at the wind farm's booster station. This refers to the current value output by the wind turbine to the grid at the characteristic frequency of oscillation. The impedance is the directional impedance at the characteristic frequency of the oscillation.

[0027] In step S3 of this embodiment, the wind turbine resonance suppression strategy includes: Step S301: Read the characteristic frequency where the directional impedance is positive, and initialize the enabled electrical resonance suppression module based on the characteristic frequency where the directional impedance is positive; Step S302: Real-time detection of whether the electrical component at the characteristic frequency with positive directional impedance has dropped to within the preset safety limit. If the electrical component drops to within the preset safety limit, the current strategy is maintained and continuous monitoring is performed. If the electrical component does not drop to within the preset safety limit, the electrical resonance suppression strategy is adjusted online, and the adjusted electrical component is re-detected to see if it drops to within the preset safety limit.

[0028] like Figure 3 As shown, in a specific application embodiment, when the wind turbine resonance risk source originates from the wind turbine itself, the first step is to determine whether the conditions for activating the electrical resonance suppression strategy are met. If the activation conditions are not met, the wind turbine maintains its original control strategy and continues to operate; if the activation conditions are met, the wind turbine resonance suppression strategy is immediately triggered, and the targeted suppression process begins.

[0029] Wind turbine resonance suppression strategies include: Step 1: Read the characteristic frequency with positive directional impedance from the real-time monitoring data of the wind turbine. This frequency can be directly identified as the resonant frequency point caused by the wind turbine itself. This identification method can effectively eliminate external power grid interference and ensure the accuracy of the resonant source location.

[0030] Step 2: Initialize each identified characteristic frequency into a dedicated electrical resonance suppression module, and synchronously configure the module's core initial parameters, including the target frequency, suppression amplitude, and phase compensation, to ensure that the suppression strategy is accurately adapted to the specific resonant frequency.

[0031] Step 3: Activate the initialized electrical resonance suppression module. The electrical resonance suppression module outputs a suppression signal to the wind turbine control system. Specific suppression methods include, but are not limited to: injecting harmonic current opposite to the resonant frequency to cancel the resonant energy; dynamically adjusting the converter modulation strategy to change the characteristics of the unit's electrical circuit to suppress resonance. At the same time, high-frequency real-time detection is performed on key electrical components at characteristic frequencies (such as the effective value of harmonic current and voltage amplitude fluctuation) to determine whether they have dropped to within the preset safety threshold range.

[0032] If real-time detection finds that the electrical components have not dropped to the safety threshold, the dynamic parameter online adjustment mechanism optimizes the suppression amplitude, phase compensation and other parameters of the resonance suppression module based on the electrical component monitoring data. After adjustment, the suppression effect is re-detected, forming a closed-loop optimization process of "detection-adjustment-re-detection" until the electrical components meet the standard.

[0033] If the electrical components drop to a safe threshold, the current suppression strategy will continue to operate, while real-time monitoring of critical electrical components will not be interrupted to prevent resonance recurrence due to changes in unit operating conditions or external disturbances.

[0034] In this embodiment, during the entire operation of the resonance suppression strategy, the wind turbine needs to continuously suppress resonance while dynamically coordinating the suppression action and power generation control logic through the control system to ensure that the normal power generation function of the unit is not affected, thus achieving dual protection of resonance suppression and stable power generation.

[0035] In step S3 of this embodiment, the oscillation risk warning signal includes a resonant risk alarm flag and characteristic frequency and directional impedance data sent to the power grid dispatching system.

[0036] In this embodiment, the resonance suppression strategy is automatically activated by the local controller of the wind turbine or activated by receiving a remote command.

[0037] This embodiment also provides a computer device, including a processor and a memory, the memory for storing a computer program, and the processor for executing the computer program to perform an automatic identification and suppression method for electrical oscillations of a wind turbine.

[0038] It is understood that the method described in this embodiment can be executed by a single device, such as a computer or server, or it can be applied to a distributed scenario where multiple devices cooperate to complete the task. In a distributed scenario, one of the multiple devices may execute only one or more steps of the method described in this embodiment, and the multiple devices interact to complete the method. The processor can be implemented using a general-purpose CPU, microprocessor, application-specific integrated circuit, or one or more integrated circuits, and is used to execute relevant programs to implement the method described in this embodiment. The memory can be implemented using read-only memory (ROM), random access memory (RAM), static storage devices, and dynamic storage devices. The memory can store the operating system and other applications. When the method described in this embodiment is implemented through software or firmware, the relevant program code is stored in the memory and called and executed by the processor.

[0039] This embodiment also provides a computer-readable storage medium storing a computer program / instruction that is programmed or configured to execute a method for automatic identification and suppression of electrical oscillations in wind turbine generators via a processor.

[0040] This embodiment also provides a computer program product, including a computer program / instruction, which is programmed or configured to execute a method for automatic identification and suppression of electrical oscillations in wind turbine generators via a processor.

[0041] Those skilled in the art will understand that the above embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-readable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The functions specified in one or more boxes. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable apparatus for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the functions specified in one or more boxes. The above are merely preferred embodiments of the present invention and are 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. Therefore, 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 should fall within the protection scope of the present invention.

[0042] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the invention. Therefore, 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 should fall within the protection scope of the present invention.

Claims

1. A method for automatic identification and suppression of electrical oscillations in wind turbine generators, characterized in that, Includes the following steps: Step S1: Monitor the output current of the wind turbine in real time. When the non-fundamental current exceeds the threshold, extract the characteristic frequency of the non-fundamental frequency over-limit current oscillation. Step S2: Decompose the wind turbine terminal voltage component, output current component, and wind farm substation bus voltage component corresponding to the non-fundamental frequency overcurrent oscillation characteristic frequency. Step S3: Calculate the equivalent directional impedance at the characteristic frequency from the wind turbine terminal to the wind farm bus terminal based on the wind turbine terminal voltage component, output current component, and wind farm substation bus voltage component; when the equivalent directional impedance at the characteristic frequency is greater than 0, determine that the wind turbine is an oscillation source and activate the corresponding wind turbine resonance suppression strategy; when the equivalent directional impedance at the characteristic frequency is less than or equal to 0, determine that there is an oscillation risk on the grid side and upload the oscillation risk warning signal to the grid.

2. The method for automatic identification and suppression of electrical oscillations in wind turbine generators according to claim 1, characterized in that, In step S3, the method for calculating the equivalent directional impedance at the corresponding characteristic frequency from the wind turbine terminal to the wind farm bus terminal based on the wind turbine terminal voltage component, output current component, and wind farm substation bus voltage component is as follows: In the above formula, This represents the voltage difference at the characteristic oscillation frequency between the wind turbine and the busbar of the wind farm's substation. This refers to the voltage value at the characteristic frequency of the wind turbine's output oscillation. This represents the characteristic frequency voltage value of the busbar oscillation at the wind farm's booster station. This refers to the current value output by the wind turbine to the grid at the characteristic frequency of oscillation. The impedance is the directional impedance at the characteristic frequency of the oscillation.

3. The method for automatic identification and suppression of electrical oscillations in wind turbine generators according to claim 1, characterized in that, In step S3, the wind turbine resonance suppression strategy includes: Step S301: Read the characteristic frequency where the directional impedance is positive, and initialize the enabled electrical resonance suppression module according to the characteristic frequency where the directional impedance is positive; Step S302: Real-time detection of whether the electrical component at the characteristic frequency with positive directional impedance has dropped to within the preset safety limit. If the electrical component drops to within the preset safety limit, the current strategy is maintained and continuous monitoring is performed. If the electrical component does not drop to within the preset safety limit, the electrical resonance suppression strategy is adjusted online, and the adjusted electrical component is re-detected to see if it drops to within the preset safety limit.

4. The method for automatic identification and suppression of electrical oscillations in wind turbine generators according to claim 1, characterized in that, In step S3, the oscillation risk warning signal includes a resonant risk alarm flag, characteristic frequency and directional impedance data sent to the power grid dispatching system.

5. The method for automatic identification and suppression of electrical oscillations in wind turbine units according to claim 1, characterized in that, The resonance suppression strategy is automatically activated by the local controller of the wind turbine or activated by receiving a remote command.

6. A computer device comprising a processor and a memory, the memory being used to store a computer program, characterized in that, The processor is used to execute the computer program to perform the automatic identification and suppression method for electrical oscillations of wind turbine generators as described in any one of claims 1 to 5.

7. A computer-readable storage medium storing a computer program / instructions, characterized in that, The computer program / instructions are programmed or configured to execute, via a processor, the automatic identification and suppression method for electrical oscillations of wind turbine generators as described in any one of claims 1 to 5.

8. A computer program product comprising a computer program / instructions, characterized in that, The computer program / instructions are programmed or configured to execute, via a processor, the automatic identification and suppression method for electrical oscillations of wind turbine generators as described in any one of claims 1 to 5.

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