Anomaly detection system and anomaly detection method for wind power generation equipment.

Abstract

To provide an abnormality diagnosis system and an abnormality diagnosis method for a wind power generation facility, which can early detect an abnormality in a nacelle brake mechanism.SOLUTION: An abnormality diagnosis system performs abnormality diagnosis on a wind power generation facility that includes a nacelle, a nacelle brake mechanism for braking rotation of the nacelle, and a yaw angle sensor for detecting a yaw angle of the nacelle. The abnormality diagnosis system comprises: a sliding determination unit for determining whether a nacelle sliding amount, which is the amount of rotation of the nacelle while the nacelle brake mechanism is operating, exceeds an allowable sliding amount on the basis of the yaw angle measured by the yaw angle sensor; a wind state determination unit for determining whether a wind state at the wind power generation facility satisfies a specified steady wind state condition; and a nacelle brake abnormality diagnosis unit for diagnosing an abnormality in the nacelle brake mechanism when it is determined that the steady wind state condition is satisfied and the nacelle sliding amount exceeds the allowable sliding amount.SELECTED DRAWING: Figure 5

Description

[Technical Field]

[0001] This disclosure relates to an anomaly diagnosis system for wind power generation equipment and an anomaly diagnosis method for performing anomaly diagnosis of wind power generation equipment. [Background technology]

[0002] The wind power generation equipment disclosed in Patent Document 1 comprises a nacelle, a nacelle rotation mechanism for yaw rotation of the nacelle, a yaw drive mechanism for driving the nacelle rotation mechanism, and a yaw brake for stopping the yaw rotation of the nacelle. [Prior art documents] [Patent Documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2015-161172 [Overview of the Initiative] [Problems that the invention aims to solve]

[0004] It is preferable to detect abnormalities in the nacelle brake mechanism, such as yaw brakes, at an early stage. However, the above-mentioned Patent Document 1 does not disclose a specific configuration.

[0005] The purpose of this disclosure is to provide an abnormality diagnosis system and an abnormality diagnosis method for wind power generation equipment that can detect abnormalities in the nacelle brake mechanism at an early stage. [Means for solving the problem]

[0006] An anomaly diagnosis system for wind power generation equipment according to at least one embodiment of the present disclosure is: An anomaly diagnosis system for wind power generation equipment, comprising a nacelle, a nacelle brake mechanism for braking the rotation of the nacelle, and a yaw angle sensor for detecting the yaw angle of the nacelle, wherein the system diagnoses an anomaly in the wind power generation equipment, A sliding determination unit for determining whether the amount of nacelle sliding, which is the amount of rotation of the nacelle while the nacelle brake mechanism is operating, exceeds the allowable amount of sliding, based on the yaw angle measured by the yaw angle sensor, A wind condition determination unit for determining whether the wind conditions at the wind power generation facility satisfy the specified steady-state wind condition conditions, When it is determined that the steady-state wind conditions are met and the amount of nacelle sliding exceeds the allowable amount of sliding, a nacelle brake abnormality diagnosis unit is provided to diagnose that there is an abnormality in the nacelle brake mechanism. It is equipped with.

[0007] An abnormality diagnosis method for wind power generation equipment according to at least one embodiment of the present disclosure is: An abnormality diagnosis method for a wind power generation facility, comprising a nacelle, a nacelle brake mechanism for braking the rotation of the nacelle, and a yaw angle sensor for detecting the yaw angle of the nacelle, wherein the abnormality diagnosis method for a wind power generation facility is performed on the wind power generation facility, A sliding determination step for determining whether the amount of nacelle sliding, which is the amount of rotation of the nacelle while the nacelle brake mechanism is operating, exceeds the allowable sliding amount, based on the yaw angle measured by the yaw angle sensor, A wind condition determination step for determining whether the wind conditions at the wind power generation facility satisfy the specified steady-state wind condition conditions, If it is determined that the steady-state wind conditions are met and the amount of nacelle sliding exceeds the allowable amount of sliding, a nacelle brake abnormality diagnosis step is performed to diagnose that there is an abnormality in the nacelle brake mechanism. It is equipped with. [Effects of the Invention]

[0008] This disclosure provides an abnormality diagnosis system and method for wind power generation equipment that can detect abnormalities in the nacelle brake mechanism at an early stage. [Brief explanation of the drawing]

[0009] [Figure 1]It is a schematic diagram showing an abnormality diagnosis system and a wind power generation facility according to an embodiment. [Figure 2] It is a schematic plan view of a wind power generation facility in which wind direction following control according to an embodiment is executed. [Figure 3] It is a schematic graph showing time-series data of the absolute value of the wind direction deviation according to an embodiment. [Figure 4] It is a schematic diagram showing the hardware configuration of an abnormality diagnosis system according to an embodiment. [Figure 5] It is a schematic block diagram showing the basic functional configuration of an abnormality diagnosis system according to an embodiment. [Figure 6] It is a schematic diagram showing details of steady wind condition according to an embodiment. [Figure 7] It is a schematic block diagram of an abnormality diagnosis system having an additional functional configuration according to an embodiment. [Figure 8] It is a schematic graph showing time-series data of output deviation. [Figure 9] It is a schematic graph showing time-series data of yaw angle according to an embodiment. [Figure 10] It is a flowchart showing an abnormality diagnosis process according to an embodiment. [Figure 11] It is a flowchart showing an abnormality diagnosis process following FIG. 10.

Embodiments for Carrying Out the Invention

[0010] Hereinafter, some embodiments of the present disclosure will be described with reference to the accompanying drawings. However, the dimensions, materials, shapes, relative arrangements, etc. of the components described as embodiments or shown in the drawings are not intended to limit the scope of the invention thereto, but are merely illustrative examples. For example, expressions representing relative or absolute arrangements such as "in a certain direction", "along a certain direction", "parallel", "orthogonal", "center", "concentric", or "coaxial" not only strictly represent such arrangements, but also represent a state of being relatively displaced with tolerances or with angles and distances that can obtain the same function. For example, expressions indicating that things such as "identical", "equal", and "homogeneous" are in an equal state shall not only represent a strictly equal state, but also represent a state in which there is a tolerance or a difference within the range where the same function can be obtained. For example, expressions representing shapes such as a rectangular shape or a cylindrical shape shall not only represent shapes such as a rectangular shape or a cylindrical shape in a geometrically strict sense, but also represent shapes including concave and convex portions, chamfered portions, etc. within the range where the same effect can be obtained. On the other hand, expressions such as "comprising", "having", "including", or "possessing" a certain component are not exclusive expressions that exclude the existence of other components.

[0011] <1. Overview of the Abnormality Diagnosis System 40 and the Wind Power Generation Facility 1> FIG. 1 is a schematic diagram showing an abnormality diagnosis system 40 and a wind power generation facility 1 according to an embodiment of the present disclosure. The abnormality diagnosis in this document includes determining whether there is an abnormality in the wind power generation facility 1. As shown in FIG. 1, the wind power generation facility 1 includes a support column 2 erected on a foundation or the like, a nacelle 3 installed at the upper end of the support column 2, and a windmill rotor 4 rotatably provided on one end side of the nacelle 3. The windmill rotor 4 includes a rotor head 5 and a plurality of windmill blades 6 radially attached to the rotor head 5.

[0012] Inside the nacelle 3, a generator 11 connected to the windmill rotor 4 via a speed increaser 10 is installed. By transmitting the rotation of the windmill rotor 4 to the generator 11 via the speed increaser 10 to drive the generator 11, electric power is output from the generator 11.

[0013] Furthermore, the wind power generation equipment 1 includes a pitch mechanism 12 for adjusting the pitch angle of each wind turbine blade 6, a yaw rotation mechanism 14 for adjusting the yaw angle of the nacelle 3, and a nacelle brake mechanism 30 for braking the rotation of the nacelle 3. The yaw rotation mechanism 14 in this example includes a yaw motor 16 connected to the nacelle 3 and a pinion gear fixed to the output shaft of the yaw motor 16, the pinion gear meshing with a ring gear fixed to the support column 2. When the yaw motor 16 is driven, the pinion gear rolls along the teeth of the ring gear, causing the nacelle 3 to rotate in the yaw direction. The nacelle brake mechanism 30 includes a hydraulic actuator 32, a brake pad 34 attached to the hydraulic actuator 32, and a disc brake (not shown) connected to the nacelle 3. When the hydraulic actuator 32 is activated in conjunction with the operation of the nacelle brake mechanism 30, the brake pad 34 is pressed against the disc brake, and a braking force is applied to the nacelle 3.

[0014] The wind power generation equipment 1 includes an anemometer 7 for measuring the wind speed of the wind passing through the wind power generation equipment 1, an anemometer 8 for measuring the wind direction of the wind passing through the wind power generation equipment 1, a thermometer 9 for measuring the temperature, a pitch angle sensor 15 for measuring the pitch angle, and a yaw angle sensor 18 for measuring the yaw angle of the nacelle 3. The anemometer 7, anemometer 8, and thermometer 9 are installed on the outer surface of the nacelle 3 (for example, the top of the nacelle 3). The anemometer 7 may be, for example, a cup type or a windmill type anemometer. A cup type anemometer measures wind speed by measuring the rotation speed of a cup that rotates around a rotating shaft using a rotary encoder or the like, while a windmill type anemometer measures wind speed by measuring the rotation speed of a propeller-shaped blade that rotates around a rotating shaft using a rotary encoder or the like. The wind vane 8 may be a potentiometer-type wind vane that converts changes in the direction of a rotating vane around a rotation axis into changes in electrical resistance, for example, by measuring the angle that the direction of the wind flow makes with a predetermined reference direction (e.g., north) as the wind direction. The yaw angle sensor 18 measures the angle that the rotation axis of the wind turbine rotor 4 makes with the predetermined reference direction as the yaw angle of the nacelle 3. The yaw angle sensor 18 may be an encoder that outputs an electrical signal corresponding to the drive of the yaw motor 16. The yaw angle sensor 18 includes a main body connected to the nacelle 3, a support shaft rotatably supported by the main body, and a sensor gear provided on the support shaft. The sensor gear meshes with the ring gear described above, and when the nacelle 3 rotates due to the drive of the yaw motor 16, the sensor gear rolls along the teeth of the ring gear. The yaw angle sensor 18 detects the yaw angle by detecting the amount of rotation of the support shaft.

[0015] A control device 20 for performing various operational controls of the wind power generation equipment 1 is installed in a suitable location on the wind power generation equipment 1 (for example, inside the nacelle 3 or inside the support column 2). The control device 20 receives signals indicating the wind speed measured by the anemometer 7, the wind direction measured by the wind vane 8, the temperature measured by the thermometer 9, the pitch angle measured by the pitch angle sensor 15, and the yaw angle of the nacelle 3 measured by the yaw angle sensor 18. The control device 20 is at least one controller.

[0016] The control device 20 is configured to communicate with the anomaly diagnosis system 40 via the communication network 21. The control device 20 transmits various measurement data measured by the wind power generation equipment 1, such as wind speed measured by the anemometer 7, wind direction measured by the wind vane 8, temperature measured by the thermometer 9, pitch angle measured by the pitch angle sensor 15, and yaw angle measured by the yaw angle sensor 18, to the anomaly diagnosis system 40. The anomaly diagnosis system 40 stores the various measurement data transmitted from the control device 20 as time-series data and uses it to diagnose anomalies in the wind power generation equipment 1, as described later.

[0017] Figure 2 is a schematic plan view of a wind power generation facility 1 in which wind direction following control according to one embodiment of the present disclosure is performed. Wind direction following control is a control that makes the orientation of the nacelle 3 follow the wind direction so that the nacelle 3 faces the wind direction, and is performed by a control device 20. Figure 3 is a schematic graph showing time series data of the absolute value of the wind direction deviation according to one embodiment of the present disclosure. The wind direction deviation is the angle that the wind direction measured by the wind vane 8 makes with respect to the rotation axis of the wind turbine rotor 4, and is calculated, for example, by subtracting the yaw angle from the wind direction. The angle θ in Figure 2 represents the wind direction deviation.

[0018] The control device 20 calculates the absolute value of the wind direction deviation based on the wind direction measured by the wind vane 8 and the yaw angle measured by the yaw angle sensor 18. Next, it is determined whether an event has occurred in which the absolute value of the wind direction deviation exceeds the wind direction tracking threshold. In Figure 3, during the period from time t1 to time t2, the absolute value of the wind direction deviation exceeds the wind direction tracking threshold. If it is expected that the event in which the absolute value of the wind direction deviation exceeds the wind direction threshold will continue for longer than the allowable deviation time, the control device 20 controls the yaw motor 16 to reduce the absolute value of the wind direction deviation (preferably to make it zero). The allowable deviation time is calculated from the point in time when the absolute value of the wind direction deviation exceeds the wind direction tracking threshold (t1 in Figure 3). Furthermore, the longer the allowable deviation time, the fewer opportunities the control device 20 has to control the yaw motor 16, which leads to increased power consumption of the wind power generation equipment 1. On the other hand, the longer the allowable deviation time, the less responsive the nacelle 3 is to the change in wind direction.

[0019] The control device 20 is configured to input brake activation commands and brake release commands to the hydraulic actuator 32 of the nacelle brake mechanism 30. When a brake activation command is input, the hydraulic actuator 32 operates, and a braking force is applied to the nacelle 3. Subsequently, the brake activation command input to the hydraulic actuator 32 remains active, and a braking force continues to act on the nacelle 3 until a brake release command is input to the hydraulic actuator 32. When a brake release command is input to the hydraulic actuator 32, the brake activation command is deactivated, and the hydraulic actuator 32 stops operating. As a result, the brake pads 34 separate from the disc brake, and the braking force that was acting on the nacelle 3 disappears.

[0020] Figure 4 is a schematic diagram showing the hardware configuration of an anomaly diagnosis system 40 according to one embodiment of the present disclosure. The anomaly diagnosis system 40 is configured using a computer that includes, for example, a processor 72, RAM (Random Access Memory) 74, ROM (Read Only Memory) 76, HDD (Hard Disk Drive) 78, input I / F 80, output I / F 82, and display 83, all of which are connected to each other via a bus 84. The hardware configuration of the anomaly diagnosis system 40 is not limited to the above and may be realized by a combination of a control circuit and a storage device. The anomaly diagnosis system 40 is also configured by a computer executing a program that realizes each function of the anomaly diagnosis system 40. The functions of each part of the anomaly diagnosis system 40 described below are realized by the processor 72 loading a program stored in ROM 76 into RAM 74 and executing it. The processor 72 may temporarily store various data generated in conjunction with the execution of the program in RAM 74. The hardware comprising the anomaly diagnosis system 40 may be centralized in one location or distributed across multiple locations. The following example describes a case where the anomaly diagnosis system 40 is located away from the wind power generation equipment 1 and performs remote anomaly diagnosis of the wind power generation equipment 1. However, at least one function of the anomaly diagnosis system 40 may be implemented, for example, by a control device 20 provided by the wind power generation equipment 1.

[0021] <2. Basic Functional Configuration of the Anomaly Diagnosis System 40> Figure 5 is a schematic block diagram showing the basic functional configuration of an anomaly diagnosis system 40 according to one embodiment of the present disclosure. The functional configuration of the anomaly diagnosis system 40 shown in the block diagram of Figure 5 is realized by the hardware configuration of the anomaly diagnosis system 40 illustrated in Figure 4 (the same applies to the block diagram shown in Figure 7).

[0022] As shown in Figure 5, the abnormality diagnosis system 40 includes a nacelle time-series data acquisition unit 41. The nacelle time-series data acquisition unit 41 is configured to acquire nacelle time-series data, which includes time-series data of the yaw angle of the nacelle 3 and time-series data of the operating state of the nacelle brake mechanism 30 (hereinafter also referred to as "brake state time-series data"). The yaw angle time-series data is generated by continuously acquiring the yaw angle measured by the yaw angle sensor 18. The brake state time-series data is generated by associating commands (i.e., brake operation commands or brake release commands) input from the control device 20 to the hydraulic actuator 32 with time. In this example, both the nacelle time-series data and the brake state time-series data are generated by the nacelle time-series data acquisition unit 41. In other examples, these time-series data may be generated by the control device 20 before being sent to the abnormality diagnosis system 40.

[0023] The abnormality diagnosis system 40 further includes a sliding determination unit 42. The sliding determination unit 42 is configured to determine, based on nacelle time-series data, whether the amount of nacelle sliding, which is the amount of rotation of the nacelle 3 while the nacelle brake mechanism 30 is operating, exceeds the allowable sliding amount. The nacelle sliding amount can be obtained by referring to the time-series data of the yaw angle while the brake operation command input to the nacelle brake mechanism 30 is active. Specifically, the time period in which the brake operation command is active is identified based on the brake state time-series data, and the amount of change in the yaw angle during that time period is identified based on the yaw angle time-series data. This allows the nacelle sliding amount to be obtained. The criteria for determining whether the nacelle sliding amount exceeds the allowable sliding amount may be whether the nacelle sliding amount within a predetermined time exceeds the allowable sliding amount, whether the cumulative value of the nacelle sliding amount instantaneously exceeds the allowable sliding amount, or whether the event in which the cumulative value of the nacelle sliding amount exceeds the allowable sliding amount occurs multiple times over a predetermined period. An example of the details of the criteria will be described later.

[0024] The abnormality diagnosis system 40 includes a wind condition determination unit 43 for determining whether the wind conditions at the wind power generation facility 1 satisfy the specified steady-state wind condition conditions. The steady-state wind conditions are the wind conditions at the wind power generation facility 1 that are expected during the rated operation of the wind power generation facility 1. When the steady-state wind condition conditions that define the steady-state wind conditions are satisfied, the wind speed is in the range of moderate to high wind speed, and wind turbulence or wind direction turbulence is moderate or less. The wind condition determination unit 43 determines whether steady-state wind conditions are met by acquiring at least one measurement result from the anemometer 7 or wind vane 8. The at least one measurement result from the anemometer 7 or wind vane 8 is a parameter referenced in the determination made by the wind condition determination unit 43.

[0025] The abnormality diagnosis system 40 further includes a nacelle brake abnormality diagnosis unit 45. The nacelle brake abnormality diagnosis unit 45 is configured to diagnose an abnormality in the nacelle brake mechanism 30 when it is determined that steady-state wind conditions are met and the amount of nacelle sliding exceeds the allowable amount of sliding. The nacelle brake abnormality diagnosis unit 45, having diagnosed an abnormality, may generate a brake inspection display command to display information prompting inspection of the nacelle brake mechanism 30 on the display unit 83. When the display unit 83 receives the brake inspection display command, it displays information prompting inspection, allowing the user of the abnormality diagnosis system 40 to perform an early inspection of the nacelle brake mechanism 30. The information prompting inspection may be a text message, an error code expressed using alphanumeric characters, or a mark expressed using a graphic.

[0026] According to the inventors' findings, when the steady-state wind conditions, which are the wind conditions expected during the rated operation of the wind power generation equipment 1, are met, if the amount of nacelle sliding exceeds the allowable sliding amount even though the nacelle brake mechanism 30 is operating, it is highly likely that some kind of abnormality has occurred in the nacelle brake mechanism 30. Specifically, the braking force of the nacelle brake mechanism 30 may be reduced due to wear or deterioration of the brake pads 34, or excessive oil adhesion to the brake pads 34. The inventors have found that even if such an abnormality occurs at a minor level, the amount of nacelle sliding will exceed the allowable sliding amount. In this regard, with the above configuration, when it is determined that the steady-state wind conditions are met and it is determined that the amount of nacelle sliding exceeds the allowable sliding amount, the nacelle brake abnormality diagnosis unit 45 diagnoses that there is an abnormality in the nacelle brake mechanism 30. Thus, an abnormality diagnosis system 40 that can detect abnormalities in the nacelle brake mechanism 30 at an early stage is realized.

[0027] <2. Criteria and details for determining steady-state wind conditions> Figure 6 is a schematic diagram showing details of steady-state wind conditions according to one embodiment of the present disclosure. The steady-state wind conditions include a first steady-state wind condition, a second steady-state wind condition, a third steady-state wind condition, and a fourth steady-state wind condition. In this example, if all four of these conditions are satisfied, it is determined that the steady-state wind conditions are satisfied, and if at least one of these four conditions is not satisfied, it is determined that the steady-state wind conditions are not satisfied.

[0028] The first steady-state wind condition is satisfied when the wind speed at the wind power generation facility 1 is equal to or greater than the first specified wind speed, which is the lower limit of the wind speed that defines the steady-state wind condition. When wind equal to or greater than the first specified wind speed acts on the wind turbine blades 6 of the wind power generation facility 1, a certain amount of rotational force acts on the nacelle 3. If the amount of nacelle sliding exceeds the allowable amount of sliding at this time, it is highly likely that a malfunction has occurred in the nacelle brake mechanism 30, and the braking force of the nacelle brake mechanism 30 is insufficient to brake the rotation of the nacelle 3. In this respect, with this configuration, in order to determine that there is a malfunction in the nacelle brake mechanism 30, the wind speed must be equal to or greater than the first specified wind speed, and the first steady-state wind condition must be satisfied. This makes it possible to detect malfunctions in the nacelle brake mechanism 30 more accurately. For example, the first specified wind speed may be an average wind speed of 20 m / s or less, or an average wind speed of 15 m / s or less. Also, the first specified wind speed may be an instantaneous wind speed.

[0029] The second steady-state wind condition is satisfied when the wind turbulence intensity at the wind power generation facility 1 is less than the specified intensity, which is the upper limit of the turbulence intensity that defines the steady-state wind condition. The turbulence intensity is the ratio of the wind speed standard deviation to the average wind speed during the specified period, and is calculated based on the measurement results of the anemometer 7. In this example, if it is determined that the first steady-state wind condition is not satisfied, it is determined whether the second steady-state wind condition is satisfied. When wind with a wind turbulence intensity of the specified intensity or higher acts on the wind turbine blade 6, the magnitude of the rotational force acting on the nacelle 3 fluctuates rapidly. As a result, even if the nacelle brake mechanism 30 is functioning normally, the amount of nacelle sliding may exceed the allowable amount of sliding. In this respect, with this configuration, in order for it to be determined that there is a problem with the nacelle brake mechanism 30, the wind turbulence intensity must be less than the specified intensity, and the second specified wind condition must be satisfied. This allows for more accurate detection of problems with the nacelle brake mechanism 30.

[0030] The third steady-state wind condition is satisfied when the wind speed at the wind power generation facility 1 is less than the second specified wind speed, which is the upper limit of the wind speed that defines the steady-state wind condition. The second specified wind speed is a wind speed greater than the first specified wind speed mentioned above. In this example, if it is determined that the second steady-state wind condition is not satisfied, it is determined whether the third steady-state wind condition is satisfied. When wind with a wind speed of the second specified wind speed or higher acts on the wind turbine blade 6, the magnitude of the turning force acting on the nacelle 3 becomes excessive. As a result, even though the nacelle brake mechanism 30 is functioning normally, the amount of nacelle sliding may exceed the allowable amount of sliding. In this respect, with this configuration, in order for it to be determined that there is an abnormality in the nacelle brake mechanism 30, the wind speed must be less than the second specified wind speed and the third specified wind condition must be satisfied. This allows for more accurate detection of abnormalities in the nacelle brake mechanism 30. As an example, the second specified wind speed is a value equivalent to 1.5 to 3 times the first specified wind speed. The second specified wind speed may be the average wind speed or the instantaneous wind speed.

[0031] The fourth steady-state wind condition is satisfied when the wind direction deviation at the wind power generation facility 1 is less than the wind direction threshold, which is the upper limit value that defines the steady-state wind condition. Various patterns can be adopted for determining whether the fourth steady-state wind condition is satisfied. For example, it may be determined whether the wind direction deviation is less than the wind direction threshold while the wind speed is above a predetermined wind speed. Furthermore, this determination process is not limited to simply comparing the wind direction deviation with the wind direction threshold. For example, if the number of times the wind direction deviation exceeds the wind direction threshold while the wind speed is above a predetermined wind speed is less than the allowable number of times, the events in which the wind direction deviation exceeds the wind direction threshold may be ignored, and the wind direction deviation may be considered to be less than the wind direction threshold. In other words, if the number of times the wind direction deviation exceeds the wind direction threshold while the wind speed is above a predetermined wind speed is less than the allowable number of times, it may be determined that the fourth steady-state wind condition is satisfied. The predetermined wind speed is, for example, a wind speed of first specified wind speed or higher. The predetermined wind speed may be the same value as the second specified wind speed, or it may be a value lower than the second specified wind speed. The specified wind speed may be the average wind speed or the instantaneous wind speed.

[0032] In this example, if it is determined that the third steady-state wind condition is not met, it is then determined whether the fourth steady-state wind condition is met. When wind with a wind direction deviation greater than or equal to the wind direction threshold acts on the turbine blade 6, the direction of the turning force acting on the nacelle 3 changes rapidly. As a result, even if the nacelle brake mechanism 30 is functioning normally, the amount of nacelle sliding may exceed the allowable amount of sliding. In this respect, with this configuration, in order for it to be determined that there is a problem with the nacelle brake mechanism 30, the wind direction deviation must be less than the wind direction threshold and the fourth specified wind condition must be met. This allows for more accurate detection of problems with the nacelle brake mechanism 30.

[0033] Furthermore, the steady-state wind conditions relating to this disclosure only need to include at least one of the first steady-state wind conditions, the second steady-state wind conditions, the third steady-state wind conditions, or the fourth steady-state wind conditions. For example, the steady-state wind conditions may include the first steady-state wind conditions and the third steady-state wind conditions, but not the second and fourth steady-state wind conditions. Alternatively, the steady-state wind conditions may include the fourth steady-state wind conditions, but not the first, second, and third steady-state wind conditions. In addition, the wind condition determination unit 43 may determine that the steady-state wind conditions are satisfied if at least one of the first, second, third, or fourth steady-state wind conditions is satisfied.

[0034] <3. Additional Functional Configuration of the Anomaly Diagnosis System 40> Referring to Figures 7 and 8, examples of additional functional configurations that the anomaly diagnosis system 40 may have are shown.

[0035] <3-1. Detection of abnormalities in the yaw angle sensor 18 or anemometer 7> Figure 7 is a schematic block diagram of an abnormality diagnosis system 40 having additional functional configurations according to one embodiment of the present disclosure. The abnormality diagnosis system 40 illustrated in Figure 7 is configured to detect abnormalities in the yaw angle sensor 18 and the anemometer 7. For this detection, the determination result of an output determination unit 47, which may be additionally provided in the abnormality diagnosis system 40, is used. The output determination unit 47 is configured to determine whether the output deviation between the output of the wind power generation equipment 1 and the target output is less than an output threshold. The output deviation may be obtained by subtracting the target power from the power generated by the generator 11, which is measured by a power meter (not shown) that may be provided in the wind power generation equipment 1. The determination process for whether there is an abnormality in the yaw angle sensor 18 or the anemometer 7 is executed when it is determined that the nacelle sliding amount exceeds the allowable sliding amount and that the first steady-state wind condition is not satisfied. The principle by which abnormalities in the yaw angle sensor 18 and the anemometer 7 can be detected in this case is as follows.

[0036] The judgment result that the nacelle sliding amount exceeds the allowable sliding amount and the judgment result that the steady wind conditions, including the first steady wind condition condition, are not met (i.e., the judgment result that the wind speed is less than the first specified wind speed) are contradictory. This is because even if wind with a wind speed less than the first specified wind speed acts on the wind turbine blade 6, the magnitude of the turning force acting on the nacelle 3 is relatively small, so it is unlikely that the nacelle 3 will turn excessively while the nacelle brake mechanism 30 is operating. Therefore, if the above two contradictory judgment results occur, it is suspected that there is a malfunction in the sensor that contributes to these judgment results. In other words, it is suspected that there is a malfunction in either the yaw angle sensor 18 used to calculate the allowable sliding amount, or the anemometer 7 used to determine whether the first steady wind condition condition is met.

[0037] The inventors considered that in order to identify these abnormalities, it would be sufficient to determine whether the output deviation exceeds the output deviation threshold. Figure 8 is a schematic graph showing the time-series data of the output deviation. This graph shows the output deviation under conditions where the nacelle sliding amount is determined to have exceeded the allowable sliding amount, and the first steady-state wind condition is not determined to be satisfied. Since the amount of power generated by the wind power generation facility 1 is correlated with the wind speed, if the output deviation is less than the output threshold (for example, time T w1 From time T w2 During the period up to time T, the wind power generation equipment 1 can be considered to be operating appropriately according to the wind speed. As a result, no abnormality occurred in the anemometer 7, and the yaw angle sensor 18 can be considered to be abnormal. Conversely, if the output deviation is greater than or equal to the output threshold (for example, time T w2 From time T w3 During the period up to that point, the rotation speed of the wind turbine blades 6 was too fast, and the wind power generation equipment 1 could be considered to be in an over-power state. The over-power state occurs because there is an abnormality in the measurement result of the anemometer 7, which the control device 20 refers to as the basis for controlling the operation of the wind power generation equipment 1. Therefore, since no abnormality occurred in the yaw angle sensor 18, it can be concluded that there is an abnormality in the anemometer 7.

[0038] To embody the technical concepts described above, the anomaly diagnosis system 40 illustrated in Figure 7 is further equipped with a yaw angle sensor anomaly diagnosis unit 51 and an anemometer anomaly diagnosis unit 53. The yaw angle sensor anomaly diagnosis unit 51 is configured to diagnose an anomaly in the yaw angle sensor 18 if it is determined that the nacelle sliding amount exceeds the allowable sliding amount, that the steady-state wind conditions, including the first steady-state wind conditions, are not met, and that the output deviation is less than the output threshold. The anemometer anomaly diagnosis unit 53 diagnoses an anomaly in the anemometer 7 if it is determined that the nacelle sliding amount exceeds the allowable sliding amount, that the steady-state wind conditions, including the first steady-state wind conditions, are not met, and that the output deviation is greater than or equal to the output threshold.

[0039] According to the above configuration, an abnormality diagnosis system 40 is realized that can detect not only abnormalities in the nacelle brake mechanism 30, but also abnormalities in the yaw angle sensor 18 and the anemometer 7 simultaneously. The yaw angle sensor abnormality diagnosis unit 51 may generate a yaw angle sensor abnormality display command to display information indicating this on the display unit 83 when it diagnoses an abnormality in the yaw angle sensor 18. This allows the user of the abnormality diagnosis system 40 to recognize the abnormality in the yaw angle sensor 18. Similarly, the anemometer abnormality diagnosis unit 53 may generate an anemometer abnormality display command to display information indicating this on the display unit 83 when it diagnoses an abnormality in the anemometer 7. This allows the user of the abnormality diagnosis system 40 to recognize the abnormality in the anemometer 7. The information displayed on the display unit 83 may be a text message, an error code expressed using alphanumeric characters, or a mark expressed using a graphic. Furthermore, the abnormality diagnosis system 40 according to other embodiments may be equipped with only one of either the yaw angle sensor abnormality diagnosis unit 51 or the anemometer abnormality diagnosis unit 53. Even in this case, an abnormality in either the yaw angle sensor 18 or the anemometer 7 can be detected.

[0040] Furthermore, the anemometer abnormality diagnosis unit 53, as illustrated in Figure 7, may generate a brake inspection display command to display information prompting inspection of the nacelle brake mechanism 30 on the display unit 83 when diagnosing an abnormality in the anemometer 7. If there is an abnormality in the anemometer 7, it is highly likely that the wind condition determination unit 43's determination result that the wind condition conditions, including the first steady-state wind condition conditions, are not met is incorrect. In other words, it is highly likely that the amount of nacelle sliding exceeds the allowable amount of sliding under conditions where the wind speed is equal to or greater than the first specified wind speed, and that an abnormality has occurred in the nacelle brake mechanism 30. With the above configuration, the user of the abnormality diagnosis system 40 can inspect the nacelle brake mechanism 30 by checking the display unit 83, thus avoiding failure to detect an abnormality in the nacelle brake mechanism 30. The information prompting inspection of the nacelle brake mechanism 30 displayed on the display unit 83 may be a text message, an error code expressed using alphanumeric characters, or a mark expressed using a graphic.

[0041] <3-2. Configuration for changing wind direction tracking control> The abnormality diagnosis system 40 illustrated in Figure 7 may also include a time reduction command generation unit 57 for generating time reduction commands. The time reduction command is a command used to reduce the allowable deviation time (see Figure 3) used in the wind direction following control performed by the control device 20. When it is determined that the nacelle sliding amount exceeds the allowable sliding amount, and that neither the second steady wind condition condition nor the fourth steady wind condition condition is satisfied, the time reduction command generation unit 57 generates a time reduction command. When the time reduction command is input to the control device 20, the allowable deviation time is changed to approximately half or less (more specifically, one-third or less). As a result, the nacelle 3 can perform turns with high responsiveness to changes in wind speed and wind direction. When neither the second steady wind condition condition nor the fourth steady wind condition condition is satisfied, both the wind speed turbulence and wind direction turbulence of the wind hitting the wind turbine blades 6 are strong. In this case, the mechanical load on the wind power generation equipment 1 fluctuates greatly. Improving the responsiveness of the nacelle 3 is effective in reducing such load fluctuations. In this example, the wind direction tracking threshold used in wind direction tracking control is maintained before and after the time reduction command is input to the control device 20.

[0042] <4. Determination process performed by the sliding determination unit 42> Figure 9 shows time-series data of yaw angle according to one embodiment. The sliding determination unit 42 sets an arbitrary time period in the yaw angle time-series data as the first monitoring period and acquires the cumulative value of nacelle sliding amount during the first monitoring period. 11 and T 12 These are all examples of the first monitoring period. The areas of the hatched regions indicated by symbols S1 and S2 are all examples of the cumulative value of nacelle sliding during the first monitoring period.

[0043] The sliding determination unit 42 is configured to determine whether a phenomenon in which the cumulative value of the nacelle sliding amount in the first monitoring period exceeds the allowable sliding amount occurs a predetermined number of times or more within a second monitoring period that is longer than the first monitoring period. If the determination result is YES, it is determined that the nacelle sliding amount has exceeded the allowable sliding amount, and if the determination result is NO, it is determined that the nacelle sliding amount has not exceeded the allowable sliding amount. Hereinafter, the details of the determination process will be described by taking the case where the predetermined number of times is 2 as an example.

[0044] For example, if T 11 shows that the cumulative value of the nacelle sliding amount in the first monitoring period exceeds the allowable sliding amount, a second monitoring period starting from the time Ts which is the start time of the first monitoring period is set. And, T 11 sets an arbitrary first monitoring period in a time zone after the first monitoring period indicated by, and the cumulative value of the nacelle sliding amount in the first monitoring period is acquired. Before the second monitoring period elapses, it is assumed that the cumulative value of the nacelle sliding amount exceeds the allowable sliding amount in another first monitoring period (for example, the first monitoring period indicated by T 12 ). In this case, the sliding determination unit 42 determines that the nacelle sliding amount has exceeded the allowable sliding amount.

[0045] Even if the abnormality in the nacelle brake mechanism 30 is mild, the abnormality appears as the cumulative value of the nacelle sliding amount within the first monitoring period. According to the above configuration, the abnormality of the nacelle brake mechanism 30 can be detected earlier.

[0046] Note that at least one of the parameters referred to by the wind condition determination unit 43 (see FIG. 5) is preferably measured in the first monitoring period (in the example of FIG. 8, the period indicated by T 11 and T 12 ). That is, the wind speed used for the wind condition determination unit 43 to determine whether the first steady wind condition, the second steady wind condition, or the third steady wind condition is satisfied is preferably the wind speed measured in the first monitoring period. The same applies to the wind direction and yaw angle used to determine whether the fourth steady wind condition is satisfied. According to this configuration, when the nacelle sliding amount exceeds the allowable sliding amount, it becomes possible to accurately grasp the wind condition at that timing.

[0047] <5. Abnormality diagnosis process for wind power generation equipment 1> Referring to Figures 10 and 11, the abnormality diagnosis process for the wind power generation equipment 1 will be explained. The abnormality diagnosis process is performed by the processor 72 and is an example of an abnormality diagnosis method for the wind power generation equipment 1. Hereafter, "step" may be abbreviated as "S".

[0048] First, the processor 72 acquires nacelle time-series data (S11). The processor 72 executing S11 is an example of the nacelle time-series data acquisition unit 41. Next, the processor 72 determines, based on the nacelle time-series data acquired in S11, whether the nacelle sliding amount exceeds the allowable sliding amount (S13). As a more specific example, it determines whether the event in which the cumulative value of the nacelle sliding amount in the first monitoring period exceeds the allowable sliding amount occurred a predetermined number of times or more during the second monitoring period. The processor 72 executing S13 is an example of the sliding determination unit 42. If it is determined that the nacelle sliding amount does not exceed the allowable sliding amount (S13: NO), the processor 72 diagnoses that the nacelle brake mechanism 30 is normal and terminates the abnormality diagnosis process.

[0049] If it is determined that the nacelle sliding amount exceeds the allowable sliding amount (S13: YES), the processor 72 determines whether the steady-state wind conditions are met (S15). Specifically, the processor 72 determines whether all of the first steady-state wind conditions, second steady-state wind conditions, third steady-state wind conditions, and fourth steady-state wind conditions are met. If even one of the conditions is not met, the steady-state wind conditions are not met. If the processor 72 determines that the first steady-state wind condition is met, it then determines whether the second steady-state wind condition is met. Next, if it is determined that the second steady-state wind condition is met, it determines whether the third steady-state wind condition is met. Next, if it is determined that the third steady-state wind condition is met, it determines whether the fourth steady-state wind condition is met. However, in this determination process, even if one of the conditions is not met, the processor 72 determines whether all the other conditions are met. The processor 72 that executes S15 is an example of the wind condition determination unit 43.

[0050] If it is determined that the steady-state wind conditions are met (S15: YES), the processor 72 diagnoses that there is an abnormality in the nacelle brake mechanism 30 (S17) and terminates the abnormality diagnosis process. The processor 72 that executes S17 is an example of the nacelle brake abnormality diagnosis unit 45.

[0051] If it is determined that the steady-state wind conditions are not met (S15: NO), the processor 72 determines whether the first steady-state wind conditions were not met in S15 (S19). In other words, the processor 72 determines whether the wind speed was low at the time when the nacelle sliding amount exceeded the allowable sliding amount (S19).

[0052] If it is determined that the first steady-state wind condition is not met (S19:YES), the processor 72 determines whether the output deviation is less than the output threshold (S21). The processor 72 that performs S21 is an example of the output determination unit 47. If it is determined that the output deviation is less than the output threshold (S21:YES), the processor 72 diagnoses that there is an abnormality in the yaw angle sensor 18 (S23) and terminates the abnormality diagnosis process. The processor 72 that performs S23 is an example of the yaw angle sensor abnormality diagnosis unit 51. In addition, in S23, the processor 72 may generate the brake inspection display command described above. The generated brake inspection display command is input to the display unit 83.

[0053] If it is determined that the output deviation is greater than or equal to the output threshold (S21: NO), the processor 72 diagnoses that there is an abnormality in the anemometer 7 (S25) and terminates the abnormality diagnosis process. The processor 72 that executes S25 is an example of an anemometer abnormality diagnosis unit 53.

[0054] In S19 described above, if it is determined that the first steady-state wind condition is satisfied (i.e., the wind speed is not low) (S19: NO), the processor 72 proceeds to S31 as shown in Figure 11. In S15, the processor 72 determines whether both the second steady-state wind condition and the fourth steady-state wind condition are not satisfied (S31). In S15, if it is determined that the wind turbulence is above the specified intensity and the wind direction deviation is above the wind direction threshold (S31: YES), the processor 72 proceeds to S33.

[0055] The processor 72 determines whether the wind power generation facility 1, which does not meet the second steady-state wind condition conditions and the fourth steady-state wind condition conditions, satisfies the site conditions (S33). The site conditions are satisfied if the site on which the wind power generation facility 1 is installed is a site where strong wind conditions, both wind speed turbulence and wind direction turbulence, occur on a daily basis. For a site that satisfies the site conditions, strong wind speed turbulence and strong wind direction turbulence should be tolerated.

[0056] In this example, the database stored in the abnormality diagnosis system 40 stores a power generation facility ID for identifying the wind power generation facility 1 and a site ID for identifying the site where the wind power generation facility 1 is installed, in association with each other. The database is configured so that if the site ID is known, it is possible to determine whether the site satisfies the site conditions. The processor 72 refers to the database and determines whether the wind power generation facility 1, which does not satisfy the second steady wind condition conditions and the fourth steady wind condition conditions, satisfies the site conditions (S33). If the site conditions are satisfied (S33: YES), wind conditions with strong wind speed turbulence and wind direction turbulence are acceptable, and the processor 72 generates a time reduction command (S35). The processor 72 executing S35 is an example of the time reduction command generation unit 57. If the site conditions are not satisfied (S35: NO), the processor 72 generates a stop command to stop the wind power generation facility 1. When the stop command is input to the control device 20, the operation of the wind power generation facility 1 is stopped. The stop command may also be a command to displace the wind turbine blades 6 of the wind power generation equipment 1 to the feather position. If, in S31, at least one of the second steady wind condition conditions or the fourth steady wind condition condition is met (S31:NO), the processor 72 terminates the abnormality diagnosis process.

[0057] <6. Summary> The contents described in some of the embodiments above can be understood, for example, as follows:

[0058] 1) An anomaly diagnosis system (40) for wind power generation equipment according to at least one embodiment of the present disclosure is: An abnormality diagnosis system for a wind power generation facility (1) for performing abnormality diagnosis of the wind power generation facility (1), which includes a nacelle (3), a nacelle brake mechanism (30) for braking the rotation of the nacelle, and a yaw angle sensor for detecting the yaw angle of the nacelle, A sliding determination unit (42) for determining whether the amount of nacelle sliding, which is the amount of rotation of the nacelle while the nacelle brake mechanism is operating, exceeds the allowable sliding amount, based on the yaw angle measured by the yaw angle sensor, A wind condition determination unit (43) for determining whether the wind conditions at the wind power generation facility satisfy the specified steady-state wind condition conditions, When it is determined that the steady-state wind conditions are met and the amount of nacelle sliding exceeds the allowable amount of sliding, a nacelle brake abnormality diagnosis unit (45) for diagnosing that there is an abnormality in the nacelle brake mechanism, It is equipped with.

[0059] According to the inventors' findings, when the conditions for steady wind conditions, which are expected during the rated operation of a wind power generation facility, are met, if the nacelle sliding amount exceeds the allowable sliding amount even though the nacelle brake mechanism is operating, it is highly likely that some kind of abnormality has occurred in the nacelle brake mechanism. Specifically, this could be due to wear or deterioration of the brake pads, or excessive oil adhesion to the brake pads. The inventors have found that even if such an abnormality occurs at a minor level, the nacelle sliding amount will exceed the allowable sliding amount. In this regard, with the configuration described in 1) above, when it is determined that the conditions for steady wind conditions are met and it is determined that the nacelle sliding amount exceeds the allowable sliding amount, the nacelle brake abnormality diagnosis unit diagnoses that there is an abnormality in the nacelle brake mechanism. Therefore, an abnormality diagnosis system for wind power generation facilities that can detect abnormalities in the nacelle brake mechanism at an early stage is realized.

[0060] 2) In some embodiments, the abnormality diagnosis system for wind power generation equipment described in 1) above, The steady-state wind conditions include a first steady-state wind condition in which the wind speed at the wind power generation facility is equal to or greater than the first specified wind speed, which is the lower limit of the wind speed that defines the steady-state wind conditions.

[0061] When wind exceeding the first specified wind speed acts on the turbine blades of a wind power generation facility, a certain degree of rotational force acts on the nacelle. If the amount of nacelle sliding exceeds the allowable amount of sliding at this time, there is a high probability that a malfunction has occurred in the nacelle braking mechanism. In this regard, according to the configuration of 2) above, the first steady-state wind condition must be satisfied in order to determine that there is a malfunction in the nacelle braking mechanism. This allows for more accurate detection of malfunctions in the nacelle braking mechanism.

[0062] 3) In some embodiments, an abnormality diagnosis system for wind power generation equipment as described in 1) or 2) above, The aforementioned steady-state wind conditions include a second steady-state wind condition in which the turbulence intensity of the wind speed at the wind power generation facility is less than the specified intensity, which is the upper limit of the turbulence intensity that defines the steady-state wind conditions.

[0063] When winds with turbulence intensity exceeding the specified intensity act on the wind turbine blades, the magnitude of the turning force acting on the nacelle fluctuates rapidly. As a result, even if the nacelle brake mechanism is functioning normally, the amount of nacelle sliding may exceed the allowable amount of sliding. In this regard, according to the configuration of 3) above, the second specified wind condition must be satisfied in order to determine that there is an abnormality in the nacelle brake mechanism. This allows for more accurate detection of abnormalities in the nacelle brake mechanism.

[0064] 4) In some embodiments, an abnormality diagnosis system for wind power generation equipment according to any one of 1) to 3) above, The aforementioned steady-state wind conditions include a third steady-state wind condition in which the wind speed at the wind power generation facility is less than the second specified wind speed, which is the upper limit of the wind speed that defines the steady-state wind conditions.

[0065] When winds exceeding the second specified wind speed act on the wind turbine blades, the magnitude of the turning force acting on the nacelle becomes excessive. As a result, even if the nacelle brake mechanism is functioning normally, the amount of nacelle sliding may exceed the allowable amount of sliding. In this regard, according to the configuration of 4) above, the third specified wind condition must be satisfied in order to determine that there is an abnormality in the nacelle brake mechanism. This allows for more accurate detection of abnormalities in the nacelle brake mechanism.

[0066] 5) In some embodiments, an abnormality diagnosis system for wind power generation equipment according to any one of 1) to 4) above, The steady-state wind conditions include a fourth steady-state wind condition in which the wind direction deviation, which is the angle between the wind direction measured by the wind vane of the wind power generation facility and the rotation axis of the wind turbine rotor of the wind power generation facility, is less than the wind direction threshold, which is the upper limit of the wind direction deviation that defines the steady-state wind conditions.

[0067] When winds with a wind direction deviation exceeding the wind direction threshold act on the turbine blades, the direction of the turning force acting on the nacelle changes rapidly. As a result, even if the nacelle brake mechanism is functioning normally, the amount of nacelle sliding may exceed the allowable amount of sliding. In this regard, according to the configuration of 5) above, the fourth specified wind condition must be satisfied in order to determine that there is an abnormality in the nacelle brake mechanism. This allows for more accurate detection of abnormalities in the nacelle brake mechanism.

[0068] 6) In some embodiments, an abnormality diagnosis system for wind power generation equipment according to any one of 1) to 5) above, The steady-state wind conditions include a first steady-state wind condition in which the wind speed at the wind power generation facility is equal to or greater than the first specified wind speed, which is the lower limit of the wind speed that defines the steady-state wind conditions. The abnormality diagnosis system for the wind power generation equipment is An output determination unit (47) for determining whether the output deviation between the output and the target output of the wind power generation facility is less than the output threshold, A yaw angle sensor abnormality diagnosis unit (51) is configured to diagnose an abnormality in the yaw angle sensor when it is determined that the nacelle sliding amount exceeds the allowable sliding amount, that the steady-state wind condition conditions are not met, and that the output deviation is less than the output threshold, To further prepare.

[0069] Even when winds below the first specified wind speed act on the wind turbine blades, the magnitude of the turning force acting on the nacelle is relatively small. In this case, it is unlikely that the nacelle will turn excessively while the nacelle brake mechanism is operating. Nevertheless, if the amount of nacelle sliding exceeds the allowable amount of sliding, it is highly likely that there is a malfunction in the yaw angle sensor or in the anemometer used to measure wind speed. If the output deviation is below the output threshold, the wind power generation equipment can be considered to be operating appropriately according to the wind speed, and it can be assumed that there is no malfunction in the anemometer. As a result, it can be assumed that there is a malfunction in the yaw angle sensor. In this respect, according to the configuration of 6) above, the above technical concept is realized by the yaw angle sensor malfunction diagnosis unit. This realizes a malfunction diagnosis system for wind power generation equipment that can detect not only malfunctions in the nacelle brake mechanism but also malfunctions in the yaw angle sensor.

[0070] 7) In some embodiments, an abnormality diagnosis system for wind power generation equipment according to any one of 1) to 6) above, The aforementioned steady-state wind conditions include a first steady-state wind condition in which the wind speed measured by the anemometer of the wind power generation facility is equal to or greater than the first specified wind speed, which is the lower limit of the wind speed that defines the steady-state wind conditions. The abnormality diagnosis system for the wind power generation equipment is An output determination unit (47) for determining whether the output deviation between the output and the target output of the wind power generation facility is less than the output threshold, If it is determined that the nacelle sliding amount exceeds the allowable sliding amount, that the steady-state wind conditions are not met, and that the output deviation is equal to or greater than the output threshold, the anemometer abnormality diagnosis unit (53) for diagnosing that there is an abnormality in the anemometer, To further prepare.

[0071] If the wind speed is below the first specified wind speed and the nacelle sliding amount exceeds the allowable sliding amount, there is a high probability that an abnormality has occurred in the yaw angle sensor or the anemometer for the reasons described above. Furthermore, if the output deviation is greater than or equal to the output threshold, it can be assumed that the actual wind speed is greater than the value measured by the anemometer. As a result, it can be assumed that there is an abnormality in the anemometer. In this respect, according to the configuration of 7) above, the above technical concept is realized by the anemometer abnormality diagnosis unit. This realizes an abnormality diagnosis system for wind power generation equipment that can detect not only abnormalities in the nacelle brake mechanism but also abnormalities in the anemometer.

[0072] 8) In some embodiments, the abnormality diagnosis system for wind power generation equipment described in 7) above, The anemometer abnormality diagnosis unit is configured to generate a brake inspection display command to display information prompting inspection of the nacelle brake mechanism on the display unit when it is determined that the nacelle sliding amount exceeds the allowable sliding amount, that the steady-state wind condition conditions are not met, and that the output deviation is equal to or greater than the output threshold.

[0073] If there is a problem with the anemometer, it is highly likely that the wind condition determination unit's judgment that the wind conditions are not met is incorrect. In other words, it is highly likely that the nacelle sliding amount exceeds the allowable sliding amount when the wind speed is equal to or greater than the first specified wind speed, and that there is a high probability that a problem has occurred in the nacelle brake mechanism. In this regard, according to the configuration of 8) above, the user of the abnormality diagnosis system for wind power generation equipment can inspect the nacelle brake mechanism by checking the display unit, thus avoiding the failure to detect a problem in the nacelle brake mechanism.

[0074] 9) In some embodiments, an abnormality diagnosis system for wind power generation equipment according to any one of 1) to 8) above, The wind power generation equipment includes a control device (20) configured to control the yaw motor for rotating the nacelle so that the absolute value of the wind direction deviation, which is the angle between the wind direction measured by the wind vane of the wind power generation equipment and the rotation axis of the wind turbine rotor of the wind power generation equipment, does not exceed a wind direction tracking threshold for a period of time longer than the allowable deviation period. The aforementioned steady-state wind conditions are, A second steady-state wind condition in which the wind speed turbulence intensity in the wind power generation facility is less than the specified intensity, which is the upper limit of the turbulence intensity that defines the steady-state wind condition, A fourth steady-state wind condition in which the wind direction deviation is less than the wind direction threshold, which is the upper limit of the wind direction deviation that defines the steady-state wind condition conditions, Includes, The wind condition determination unit is configured to determine that the steady-state wind condition is satisfied when both the second steady-state wind condition and the fourth steady-state wind condition are satisfied. The abnormality diagnosis system for the wind power generation equipment is If it is determined that the nacelle sliding amount exceeds the allowable sliding amount, and that neither the second steady-state wind condition nor the fourth steady-state wind condition is satisfied, the system further includes a time reduction command generation unit (57) for generating a time reduction command to reduce the allowable deviation time used in the control of the yaw motor.

[0075] As described above, if neither the second steady wind condition nor the fourth steady wind condition is met, both wind speed turbulence and wind direction turbulence are strong. In such circumstances, if the nacelle sliding amount exceeds the allowable sliding amount, there is a high possibility that a strong turning force is acting on the nacelle, even though there is no abnormality in the nacelle brake mechanism, to the point that the braking by the nacelle brake is ineffective. In this regard, according to the configuration in 9) above, in this case, the allowable deviation time used in the control of the yaw angle motor during normal operation of the wind power generation equipment is reduced, so that the turning control of the nacelle can be performed with higher responsiveness to changes in wind conditions. This makes it possible to avoid the accumulation of mechanical fatigue in the nacelle brake mechanism.

[0076] 10) In some embodiments, an abnormality diagnosis system for wind power generation equipment according to any of 1) to 9) above, The sliding determination unit is configured to determine whether the cumulative value of the nacelle sliding amount during the first monitoring period exceeds the allowable sliding amount, and whether this event occurs a predetermined number of times or more during a second monitoring period that is longer than the first monitoring period.

[0077] According to the configuration described in 10) above, even if the abnormality in the nacelle brake mechanism is minor, the abnormality will be expressed as the cumulative value of the nacelle sliding amount within the first monitoring period. Therefore, abnormalities in the nacelle brake mechanism can be detected at an earlier stage.

[0078] 11) In some embodiments, the abnormality diagnosis system for wind power generation equipment described in 10) above, At least one of the parameters referenced by the wind condition determination unit to determine whether the steady-state wind condition conditions are met is measured within the first monitoring period.

[0079] According to the configuration described in 11) above, if the amount of nacelle sliding exceeds the allowable amount of sliding, it becomes possible to accurately grasp the wind conditions at that time.

[0080] 12) An abnormality diagnosis method for wind power generation equipment according to at least one embodiment of the present disclosure is: An abnormality diagnosis method for a wind power generation facility, comprising a nacelle, a nacelle brake mechanism for braking the rotation of the nacelle, and a yaw angle sensor for detecting the yaw angle of the nacelle, wherein the abnormality diagnosis method for a wind power generation facility is performed on the wind power generation facility, A sliding determination step (S13) for determining whether the amount of nacelle sliding, which is the amount of rotation of the nacelle while the nacelle brake mechanism is operating, exceeds the allowable amount of sliding, based on the yaw angle measured by the yaw angle sensor, A wind condition determination step (S15) for determining whether the wind conditions at the wind power generation facility satisfy the specified steady-state wind condition conditions, If it is determined that the steady-state wind conditions are met and that the amount of nacelle sliding exceeds the allowable amount of sliding, a nacelle brake abnormality diagnosis step (S17) is performed to diagnose that there is an abnormality in the nacelle brake mechanism. It is equipped with.

[0081] According to the configuration described in 12) above, for the same reasons as described in 1) above, an abnormality diagnosis method for wind power generation equipment that can detect abnormalities in the nacelle brake mechanism at an early stage is realized. [Explanation of symbols]

[0082] 1: Wind power generation equipment 2: Strut 3: Nasser 4: Wind turbine rotor 5: Rotor Head 6: Windmill blade 7: Anemometer 8: Wind vane 9: Thermometer 10: Speed ​​increaser 11: Generator 12: Pitch mechanism 14: Yaw rotation mechanism 15: Pitch Angle Sensor 16: Yaw motor 18: Yaw angle sensor 20: Control device 21: Communication Network 30: Nacelle brake mechanism 32: Hydraulic Actuator 34: Brake pads 40: Anomaly Diagnosis System 41: Nacelle time-series data acquisition unit 42:Sliding determination section 43: Wind Condition Assessment Unit 45: Nacelle Brake Malfunction Diagnosis Unit 47: Output determination unit 51: Yaw Angle Sensor Anomaly Diagnosis Unit 53: Anemometer Anomaly Diagnosis Unit 57: Time Reduction Command Generation Unit 72: Processor 74: RAM 76: ROM 80: Input I / F 82: Output I / F 83: Display 84: Bus θ: angle

Claims

1. An anomaly diagnosis system for wind power generation equipment, comprising a nacelle, a nacelle brake mechanism for braking the rotation of the nacelle, and a yaw angle sensor for detecting the yaw angle of the nacelle, wherein the system diagnoses an anomaly in the wind power generation equipment, A sliding determination unit for determining whether the amount of nacelle sliding, which is the amount of rotation of the nacelle while the nacelle brake mechanism is operating, exceeds the allowable amount of sliding, based on the yaw angle measured by the yaw angle sensor, A wind condition determination unit for determining whether the wind conditions in the wind power generation facility satisfy steady-state wind condition conditions defined to eliminate temporary sliding factors due to external loads and identify factors that cause a decrease in the performance of the nacelle brake mechanism itself, When it is determined that the steady-state wind conditions are met and the amount of nacelle sliding exceeds the allowable amount of sliding, a nacelle brake abnormality diagnosis unit is provided to diagnose that there is an abnormality in the nacelle brake mechanism. An anomaly detection system for wind power generation equipment equipped with the following features.

2. The steady-state wind conditions include a first steady-state wind condition in which the wind speed at the wind power generation facility is equal to or greater than the first specified wind speed, which is the lower limit of the wind speed that defines the steady-state wind conditions. An abnormality diagnosis system for wind power generation equipment according to claim 1.

3. The aforementioned steady-state wind conditions include a second steady-state wind condition in which the turbulence intensity of the wind speed at the wind power generation facility is less than the specified intensity, which is the upper limit of the turbulence intensity that defines the steady-state wind conditions. An anomaly diagnosis system for wind power generation equipment according to claim 1 or 2.

4. The steady-state wind conditions include a third steady-state wind condition in which the wind speed at the wind power generation facility is less than the second specified wind speed, which is the upper limit of the wind speed that defines the steady-state wind conditions. An anomaly diagnosis system for wind power generation equipment according to claim 1 or 2.

5. The steady-state wind conditions include a fourth steady-state wind condition in which the wind direction deviation, which is the angle of the wind direction measured by the wind vane of the wind power generation facility with respect to the rotation axis of the wind turbine rotor of the wind power generation facility, is less than the wind direction threshold, which is the upper limit of the wind direction deviation that defines the steady-state wind conditions. An anomaly diagnosis system for wind power generation equipment according to claim 1 or 2.

6. The steady-state wind conditions include a first steady-state wind condition in which the wind speed at the wind power generation facility is equal to or greater than the first specified wind speed, which is the lower limit of the wind speed that defines the steady-state wind conditions. The abnormality diagnosis system for the wind power generation equipment is An output determination unit for determining whether the output deviation between the output and the target output of the wind power generation facility is less than an output threshold, A yaw angle sensor abnormality diagnosis unit is configured to diagnose an abnormality in the yaw angle sensor when it is determined that the nacelle sliding amount exceeds the allowable sliding amount, that the steady-state wind condition conditions are not met, and that the output deviation is less than the output threshold. Furthermore, An anomaly diagnosis system for wind power generation equipment according to claim 1 or 2.

7. The steady-state wind conditions include a first steady-state wind condition in which the wind speed measured by the anemometer of the wind power generation facility is equal to or greater than the first specified wind speed, which is the lower limit of the wind speed that defines the steady-state wind conditions. The abnormality diagnosis system for the wind power generation equipment is An output determination unit for determining whether the output deviation between the output and the target output of the wind power generation facility is less than an output threshold, If it is determined that the nacelle sliding amount exceeds the allowable sliding amount, that the steady-state wind conditions are not met, and that the output deviation is equal to or greater than the output threshold, the anemometer malfunction diagnosis unit diagnoses that there is an abnormality in the anemometer, Furthermore, An anomaly diagnosis system for wind power generation equipment according to claim 1 or 2.

8. The anemometer abnormality diagnosis unit is configured to generate a brake inspection display command to display information prompting inspection of the nacelle brake mechanism on a display unit when it is determined that the nacelle sliding amount exceeds the allowable sliding amount, that the steady-state wind conditions are not met, and that the output deviation is equal to or greater than the output threshold. An anomaly diagnosis system for wind power generation equipment according to claim 7.

9. The wind power generation equipment includes a control device configured to control the yaw motor for rotating the nacelle so that the absolute value of the wind direction deviation, which is the angle between the wind direction measured by the wind vane of the wind power generation equipment and the rotation axis of the wind turbine rotor of the wind power generation equipment, does not exceed a wind direction tracking threshold for a period of time longer than the allowable deviation period. The aforementioned steady-state wind conditions are, A second steady-state wind condition in which the wind speed turbulence intensity in the wind power generation facility is less than the specified intensity, which is the upper limit of the turbulence intensity that defines the steady-state wind condition, A fourth steady-state wind condition in which the wind direction deviation is less than the wind direction threshold, which is the upper limit of the wind direction deviation that defines the steady-state wind condition conditions, Includes, The wind condition determination unit is configured to determine that the steady-state wind condition is satisfied when both the second steady-state wind condition and the fourth steady-state wind condition are satisfied. The abnormality diagnosis system for the wind power generation equipment is If it is determined that the nacelle sliding amount exceeds the allowable sliding amount, and it is determined that neither the second steady-state wind condition nor the fourth steady-state wind condition is satisfied, the system further includes a time reduction command generation unit for generating a time reduction command to reduce the allowable deviation time used in the control of the yaw motor. An anomaly diagnosis system for wind power generation equipment according to claim 1 or 2.

10. The sliding determination unit is configured to determine whether the cumulative value of the nacelle sliding amount during the first monitoring period exceeds the allowable sliding amount, and whether this occurs a predetermined number of times or more during a second monitoring period that is longer than the first monitoring period. An anomaly diagnosis system for wind power generation equipment according to claim 1 or 2.

11. At least one of the parameters referenced by the wind condition determination unit to determine whether the steady-state wind condition conditions are met is measured within the first monitoring period. An anomaly diagnosis system for wind power generation equipment according to claim 10.

12. An abnormality diagnosis method for a wind power generation facility, comprising a nacelle, a nacelle brake mechanism for braking the rotation of the nacelle, and a yaw angle sensor for detecting the yaw angle of the nacelle, wherein the abnormality diagnosis method for a wind power generation facility is performed on the wind power generation facility, A sliding determination step for determining whether the amount of nacelle sliding, which is the amount of rotation of the nacelle while the nacelle brake mechanism is operating, exceeds the allowable sliding amount, based on the yaw angle measured by the yaw angle sensor, A wind condition determination step for determining whether the wind conditions in the wind power generation facility satisfy steady-state wind condition conditions defined to eliminate temporary sliding factors due to external loads and identify factors that cause a decrease in the performance of the nacelle brake mechanism itself, If it is determined that the steady-state wind conditions are met and the amount of nacelle sliding exceeds the allowable amount of sliding, a nacelle brake abnormality diagnosis step is performed to diagnose that there is an abnormality in the nacelle brake mechanism. Equipped with, A method for diagnosing abnormalities in wind power generation equipment.

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