Anti-tilting control method and system for tower drum of wind generating set

Abstract

The invention discloses an anti-falling control method and system for a tower drum of a wind generating set, and belongs to the technical field of wind power generation. The method includes: acquiring cabin vibration data of the wind generating set; determining an anti-tilting control strategy of the wind generating set based on a comparison result of the cabin vibration data, a preset threshold value and a tower permissible vibration threshold value; if part of positions in the cabin vibration data exceed a preset threshold value and exceed a tower cylinder allowable vibration threshold value, determining a shutdown mode of the wind generating set by combining blade clearance monitoring data and tower cylinder monitoring data according to the anti-tilting control strategy; and if part of the positions in the cabin vibration data exceed the preset threshold value and do not exceed the permissible vibration threshold value of the tower drum, the anti-tilting control strategy is to carry out part load reduction according to the importance degree grade of the part. The control strategy can be carried out in real time in a classified and echelon manner according to the real-time operation condition of the wind turbine generator and the early warning information of each monitoring system. The problem that multi-source information is not effectively utilized in existing unit control is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of wind power generation, and in particular to a tower anti-collapse control method and system for a wind power generator set. Background Art

[0002] The statements in this section merely mention background art related to the present invention and do not necessarily constitute prior art.

[0003] Wind power generation is one of the more mature renewable energy utilization technologies. Large wind turbines themselves have a complex overall structure and are mostly distributed in mountain wind farms with complex terrain. They are inevitably subjected to turbulent motion, wind shear, tower shadow effect, wake effect, etc., resulting in a relatively harsh operating environment for all components of wind turbines.

[0004] In addition to the aerodynamic force, the blades are also subject to other forces such as gravity and centrifugal force during operation. In addition, the blade base and surface are easily damaged by rain, snow, dust, salt spray erosion, lightning strikes, etc. As an important component of wind turbines, the working environment of the tower is also harsh and the force is complex. The load it bears is highly random and variable, and its dynamic characteristics directly affect the safe operation of the wind turbine. If the damage of these key components of wind turbines is not discovered and repaired in time, it will lead to a decrease in the power generation efficiency of the wind turbine, shutdown, and even serious accidents such as blade sweeping the tower and the unit falling down.

[0005] Most of the existing wind turbine control and protection logics are based on a single monitoring system source data to evaluate the unit's operating status and make control logic judgments. The information source of the unit's control and protection logic has the problems of single data type, few data dimensions, and incomplete operating status information. The monitoring systems of other components in the unit and the information of multi-source monitoring methods are not deeply involved in the unit's safety control and protection logic. As a result, the unit's monitoring data, diagnostic conclusions, and early warning information are not effectively used, and the data utilization rate is low. Summary of the invention

[0006] In order to address the deficiencies in the prior art, the present invention provides a wind turbine tower anti-collapse control method, system, electronic equipment, computer-readable storage medium and computer program product, which can ensure stable operation of the wind turbine and improve power generation efficiency.

[0007] In a first aspect, the present invention provides a method for controlling a tower of a wind turbine generator set from collapsing;

[0008] A wind turbine tower anti-collapse control method, comprising:

[0009] Obtain nacelle vibration data of wind turbines;

[0010] Determining a wind turbine anti-collapse control strategy based on a comparison result of the nacelle vibration data with a preset threshold and an allowable tower vibration threshold;

[0011] Wherein, if some positions in the nacelle vibration data exceed the preset threshold and the allowable vibration threshold of the tower, the anti-collapse control strategy is to combine the blade clearance monitoring data and the tower monitoring data to determine the shutdown mode of the wind turbine generator set;

[0012] If some positions in the cabin vibration data exceed the preset threshold value but do not exceed the allowable vibration threshold value of the tower, the anti-collapse control strategy is to reduce the load of components according to the importance level of the components.

[0013] In some implementations, if all positions in the nacelle vibration data exceed the preset threshold, the anti-collapse control strategy is to determine a shutdown implementation strategy in combination with the operating status of the wind turbine generator set.

[0014] In some implementations, the shutdown implementation strategy is determined in combination with the operating status of the wind turbine generator set as follows:

[0015] The shutdown implementation strategy determined in combination with the operating status of the wind turbine generator set is specifically:

[0016] Obtain blade vibration monitoring data, transmission chain monitoring data, blade root load monitoring data, tower monitoring data and blade clearance monitoring data;

[0017] If the blade vibration monitoring data, transmission chain monitoring data, blade root load monitoring data, tower monitoring data and blade clearance monitoring data all trigger an early warning, the shutdown implementation strategy is determined based on the priority;

[0018] If blade vibration monitoring data, transmission chain monitoring data, blade root load monitoring data, tower monitoring data or blade clearance monitoring data trigger an early warning, the shutdown implementation strategy is determined according to the triggering regulations;

[0019] If the blade vibration monitoring data, transmission chain monitoring data, blade root load monitoring data, tower monitoring data and blade clearance monitoring data do not trigger an early warning, the normal shutdown strategy is executed.

[0020] In some embodiments, combining the blade clearance monitoring data and the tower monitoring data to determine the shutdown mode of the wind turbine generator set includes:

[0021] If the blade clearance monitoring data and tower monitoring data are both at high warning levels, the rapid pulp collection and shutdown strategy will be implemented;

[0022] If the blade clearance monitoring data or tower monitoring data is at a high warning level, the shutdown control strategy associated with the high warning level is executed;

[0023] If the blade clearance monitoring data or the tower monitoring data are not at a high warning level, a normal shutdown strategy is executed. In some embodiments, the importance level of the components is blade>tower>nacelle>drive train.

[0024] In some embodiments, the de-loading of components according to their importance levels is specifically: sorting the importance levels of components in descending order is the same as the order of de-loading of components.

[0025] In a second aspect, the present invention provides a wind turbine tower anti-collapse control system;

[0026] A wind turbine tower anti-collapse control system, comprising:

[0027] The acquisition module is configured to: acquire vibration data of the nacelle of the wind turbine generator set;

[0028] The anti-collapse control module is configured to: determine an anti-collapse control strategy for the wind turbine generator set based on a comparison result of the nacelle vibration data with a preset threshold and an allowable vibration threshold of the tower;

[0029] Wherein, if some positions in the nacelle vibration data exceed the preset threshold and the allowable vibration threshold of the tower, the anti-collapse control strategy is to combine the blade clearance monitoring data and the tower monitoring data to determine the shutdown mode of the wind turbine generator set;

[0030] If some positions in the cabin vibration data exceed the preset threshold value but do not exceed the allowable vibration threshold value of the tower, the anti-collapse control strategy is to reduce the load of components according to the importance level of the components.

[0031] In a third aspect, the present invention provides an electronic device;

[0032] An electronic device comprises a memory, a processor and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the above-mentioned wind turbine tower anti-collapse control method.

[0033] In a fourth aspect, the present invention provides a computer-readable storage medium;

[0034] A computer-readable storage medium stores a computer program / instruction, which, when executed by a processor, implements the steps of the above-mentioned wind turbine tower anti-collapse control method.

[0035] In a fifth aspect, the present invention provides a computer program product;

[0036] A computer program product includes a computer program / instruction, which implements the steps of the above-mentioned wind turbine tower anti-collapse control method when executed by a processor.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] 1. The technical solution provided by the present invention, based on various monitoring technologies of existing units, integrates the data collected by various monitoring systems to form a unit control and protection logic system database with multiple types and wide dimensions, comprehensively records and analyzes the unit operation status, and connects the "information islands" between various monitoring systems of the unit. It can efficiently use and mine various types of unit operation data, with low additional costs and greatly improved data effective utilization rate; and it has continuous expandability, relying on existing and future advanced technical means to continuously enrich, optimize and improve the unit control logic, and improve the unit operation stability and reliability.

[0039] 2. The technical solution provided by the present invention can implement control strategies in real time in a classified and tiered manner according to the real-time operating conditions of the wind turbines and the early warning information of each monitoring system, effectively utilize the design margin of the unit, ensure the stable operation of the wind turbines, and improve the power generation efficiency.

[0040] 3. The technical solution provided by the present invention has multi-dimensional and multi-variable operating status parameters of each component of the unit. Through comprehensive evaluation and analysis of data from different dimensions, the operating status of the unit can be fully controlled to improve the safety and reliability of the unit. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0042] Figure 1 A schematic flow chart of a wind turbine tower anti-collapse control method provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0043] It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used in the present invention have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0044] It should be noted that the terms used herein are only for describing specific embodiments, and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that the terms "include" and "have" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0045] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0046] Embodiment 1

[0047] The existing wind turbine control and protection logic is based on single data and does not consider comprehensive information, which is prone to problems such as untimely control warnings, affecting the stable operation of the wind turbine. Therefore, the present invention provides a wind turbine tower anti-collapse control method.

[0048] Next, combine Figure 1 , a wind turbine tower anti-collapse control method disclosed in this embodiment is described in detail.

[0049] The wind turbine tower anti-collapse control method comprises the following steps:

[0050] S1. Obtaining vibration data of the nacelle of the wind turbine generator set.

[0051] Here, the cabin vibration data includes different locations in the cabin and corresponding vibration data.

[0052] In this embodiment, before obtaining the cabin vibration data, the operating status data and characteristic parameters of the wind turbine are collected, and a unit control and protection logic system database is constructed, including the strength loads of the main components of the wind turbine, the threshold range of the online monitoring system of each component, and the vibration data of the wind turbine cabin, tower status monitoring data, blade clearance monitoring data and other various monitoring data, diagnostic results and early warning information of the unit are read in real time; which can be obtained through the SCADA system of the wind turbine.

[0053] S2. Determine the anti-collapse control strategy of the wind turbine generator set based on the comparison result of the nacelle vibration data with the preset threshold value and the allowable vibration threshold value of the tower.

[0054] Specifically, if the cabin vibration data is less than the preset threshold, the process is terminated and S1 is re-executed; if all positions in the cabin vibration data exceed the preset threshold, S3 is executed; if some positions in the cabin vibration data exceed the preset threshold and do not exceed the allowable vibration threshold of the tower, S4 is executed; if some positions in the cabin vibration data exceed the preset threshold and exceed the allowable vibration threshold of the tower, S5 is executed.

[0055] In this embodiment, the threshold value and the tower allowable vibration threshold value are set by the operator based on experience.

[0056] S3. Determine the shutdown implementation strategy based on the operating status of the wind turbine generator set. Specifically include:

[0057] S301. Obtain blade vibration monitoring data, transmission chain monitoring data, blade root load monitoring data, tower monitoring data and blade clearance monitoring data. If the blade vibration monitoring data, transmission chain monitoring data, blade root load monitoring data, tower monitoring data and blade clearance monitoring data all trigger an early warning, execute S302; if the blade vibration monitoring data, transmission chain monitoring data, blade root load monitoring data, tower monitoring data or blade clearance monitoring data trigger an early warning, execute S303; if neither the tower monitoring data nor the blade clearance monitoring data triggers an early warning, execute S304.

[0058] S302: Determine a shutdown implementation strategy according to the priority.

[0059] Specifically, the priority is determined according to the warning level triggered by the blade vibration monitoring data, transmission chain monitoring data, blade root load monitoring data, tower monitoring data, and blade clearance monitoring data. The higher the warning level, the higher the priority, and the corresponding shutdown implementation strategy is executed. If the tower monitoring data or transmission chain monitoring data has a high priority, the fast shutdown strategy is executed; if the blade vibration monitoring data, blade root load monitoring data, or blade clearance monitoring data has a high priority, the fast pulp collection shutdown strategy is executed.

[0060] Here, the blade vibration monitoring data is the blade vibration warning result, the transmission chain monitoring data is the transmission chain fault warning result, the blade root load monitoring data is the blade root load warning result, the blade clearance monitoring data is the blade fault warning result, and the tower monitoring data is the tower fault warning result, all of which include three levels: normal, first-level warning and second-level warning; they are obtained through the self-judgment of the existing monitoring system, such as the SCADA system. In this embodiment, no improvement is made to it, which will not be repeated here.

[0061] S303: Determine a shutdown implementation strategy according to the triggering order.

[0062] Specifically, if the tower monitoring data or the transmission chain monitoring data triggers an early warning, the rapid shutdown strategy is executed; if the blade vibration monitoring data, the blade root load monitoring data or the blade clearance monitoring data triggers an early warning, the rapid pulp collection shutdown strategy is executed.

[0063] S304: Execute a normal shutdown strategy.

[0064] Specifically, the shutdown strategy may be executed according to the early warning of the cabin vibration threshold, that is, the original shutdown strategy of the unit may be executed.

[0065] In this embodiment, the normal shutdown strategy is to first reduce the power at a preset rate until the power is zero, and then retract the propellers at a retracting rate of b degrees per second; the fast shutdown strategy is to retract the propellers at a retracting rate of a degrees per second and reduce the power at a preset rate; the fast retracting shutdown strategy is to retract the propellers at a retracting rate of c degrees per second and reduce the power at a preset rate. Here, b is less than a and less than c.

[0066] S4. Reduce the load of components according to their importance level.

[0067] In this embodiment, each manufacturer evaluates the components based on the functionality, maintainability, economy and other factors of each subsystem of the wind turbine generator set, and comprehensively defines the level of each component.

[0068] Here, the importance level of components is blade>tower>nacelle>transmission chain. Components with high importance levels are prioritized for load reduction to prioritize reducing the load on important components and achieve the purpose of protecting important units.

[0069] In specific implementations, the importance levels of components can be fine-tuned due to differences in the control strategies of the unit itself.

[0070] S5. Determine the shutdown mode of the wind turbine generator set by combining the blade clearance monitoring data and the tower monitoring data.

[0071] Specifically, when the blade clearance monitoring data and the tower monitoring data are both at a high warning level, the unit executes a rapid shutdown strategy; when the blade clearance monitoring data or the tower monitoring data is at a high warning level, a rapid propeller retraction shutdown strategy is executed; when both the blade clearance monitoring data and the tower monitoring data are not at a high warning level, a normal shutdown strategy is executed.

[0072] In this embodiment, the high warning level is a level 2 warning.

[0073] In this embodiment, the analyzed data, results and executed control strategy are exchanged with the PLC controller, and the wind turbine generator set is controlled by the PLC controller.

[0074] Embodiment 2

[0075] This embodiment discloses a wind turbine tower anti-collapse control system, including:

[0076] The acquisition module is configured to: acquire vibration data of the wind turbine nacelle;

[0077] The anti-collapse control module is configured to: determine an anti-collapse control strategy for the wind turbine generator set based on a comparison result of the nacelle vibration data with a preset threshold and an allowable vibration threshold of the tower;

[0078] Wherein, if some positions in the nacelle vibration data exceed the preset threshold and the allowable vibration threshold of the tower, the anti-collapse control strategy is to combine the blade clearance monitoring data and the tower monitoring data to determine the shutdown mode of the wind turbine generator set;

[0079] If some positions in the cabin vibration data exceed the preset threshold value but do not exceed the allowable vibration threshold value of the tower, the anti-collapse control strategy is to reduce the load of components according to the importance level of the components.

[0080] It should be noted that the acquisition module and the anti-collapse control module correspond to the steps in Embodiment 1, and the examples and application scenarios implemented by the modules and the corresponding steps are the same, but are not limited to the contents disclosed in Embodiment 1. It should be noted that the modules as part of the system can be executed in a computer system such as a set of computer executable instructions.

[0081] Embodiment 3

[0082] Embodiment 3 of the present invention provides an electronic device, including a memory and a processor, and computer instructions stored in the memory and executed on the processor. When the computer instructions are executed by the processor, the above steps are completed.

[0083] Embodiment 4

[0084] Embodiment 4 of the present invention provides a computer-readable storage medium for storing computer instructions. When the computer instructions are executed by a processor, the above steps are completed.

[0085] Embodiment 5

[0086] Embodiment 5 of the present invention provides a computer program product, including a computer program / instruction, which implements the steps of the above method when executed by a processor.

[0087] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0088] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0089] These computer program instructions can also be loaded onto a computer or other programmable data processing device, and a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0090] The description of each embodiment in the above embodiments has different emphases. For parts not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0091] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A wind turbine tower anti-collapse control method, characterized in that: include: Obtain nacelle vibration data of wind turbines; Determining a wind turbine anti-collapse control strategy based on a comparison result of the nacelle vibration data with a preset threshold and an allowable tower vibration threshold; Wherein, if some positions in the nacelle vibration data exceed the preset threshold and the allowable vibration threshold of the tower, the anti-collapse control strategy is to combine the blade clearance monitoring data and the tower monitoring data to determine the shutdown mode of the wind turbine generator set; If some positions in the cabin vibration data exceed the preset threshold value but do not exceed the allowable vibration threshold value of the tower, the anti-collapse control strategy is to reduce the load of components according to the importance level of the components.

2. The wind turbine tower anti-collapse control method according to claim 1, characterized in that: If all positions in the nacelle vibration data exceed the preset threshold, the anti-collapse control strategy is to determine the shutdown implementation strategy in combination with the operating status of the wind turbine generator set.

3. The wind turbine tower anti-collapse control method according to claim 2, characterized in that: The shutdown implementation strategy determined in combination with the operating status of the wind turbine generator set is specifically: Obtain blade vibration monitoring data, transmission chain monitoring data, blade root load monitoring data, tower monitoring data and blade clearance monitoring data; If the blade vibration monitoring data, transmission chain monitoring data, blade root load monitoring data, tower monitoring data and blade clearance monitoring data all trigger an early warning, the shutdown implementation strategy is determined based on the priority; If blade vibration monitoring data, transmission chain monitoring data, blade root load monitoring data, tower monitoring data or blade clearance monitoring data trigger an early warning, the shutdown implementation strategy is determined according to the triggering regulations; If the blade vibration monitoring data, transmission chain monitoring data, blade root load monitoring data, tower monitoring data and blade clearance monitoring data do not trigger an early warning, the normal shutdown strategy is executed.

4. The wind turbine tower anti-collapse control method according to claim 1, characterized in that: Determining the shutdown mode of the wind turbine generator set by combining the blade clearance monitoring data and the tower monitoring data includes: If the blade clearance monitoring data and tower monitoring data are both at high warning levels, the rapid pulp collection and shutdown strategy will be implemented; If the blade clearance monitoring data or tower monitoring data is at a high warning level, the shutdown control strategy associated with the high warning level is executed; If the blade clearance monitoring data or the tower monitoring data are not at a high warning level, the normal shutdown strategy is executed.

5. The wind turbine tower anti-collapse control method according to claim 1, characterized in that: The importance level of the components is blade>tower>nacelle>drive chain.

6. The wind turbine tower anti-collapse control method according to claim 1, characterized in that: The de-loading of components according to the importance levels of the components is specifically: the descending order of the importance levels of the components is the same as the order of de-loading of the components.

7. A wind turbine tower anti-collapse control system, characterized in that: include: The acquisition module is configured to: acquire vibration data of the nacelle of the wind turbine generator set; The anti-collapse control module is configured to: determine an anti-collapse control strategy for the wind turbine generator set based on a comparison result of the nacelle vibration data with a preset threshold and an allowable vibration threshold of the tower; Wherein, if some positions in the nacelle vibration data exceed the preset threshold and the allowable vibration threshold of the tower, the anti-collapse control strategy is to combine the blade clearance monitoring data and the tower monitoring data to determine the shutdown mode of the wind turbine generator set; If some positions in the cabin vibration data exceed the preset threshold value but do not exceed the allowable vibration threshold value of the tower, the anti-collapse control strategy is to reduce the load of components according to the importance level of the components.

8. An electronic device comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the steps of the wind turbine tower anti-collapse control method according to any one of claims 1-6.

9. A computer-readable storage medium having a computer program / instruction stored thereon, characterized in that: When the computer program / instruction is executed by a processor, the steps of the wind turbine tower anti-collapse control method described in any one of claims 1-6 are implemented.

10. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instruction is executed by a processor, the steps of the wind turbine tower anti-collapse control method described in any one of claims 1-6 are implemented.

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