WO2018099083A1 - 风力发电机组叶片结冰状态识别方法及装置 - Google Patents

风力发电机组叶片结冰状态识别方法及装置 Download PDF

Info

Publication number
WO2018099083A1
WO2018099083A1 PCT/CN2017/092073 CN2017092073W WO2018099083A1 WO 2018099083 A1 WO2018099083 A1 WO 2018099083A1 CN 2017092073 W CN2017092073 W CN 2017092073W WO 2018099083 A1 WO2018099083 A1 WO 2018099083A1
Authority
WO
WIPO (PCT)
Prior art keywords
speed
preset
wind
speed threshold
wind turbine
Prior art date
Application number
PCT/CN2017/092073
Other languages
English (en)
French (fr)
Inventor
周杰
于迟
杨建军
Original Assignee
北京金风科创风电设备有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 北京金风科创风电设备有限公司 filed Critical 北京金风科创风电设备有限公司
Priority to US15/741,912 priority Critical patent/US10767634B2/en
Priority to EP17818415.6A priority patent/EP3460237B1/en
Priority to ES17818415T priority patent/ES2865438T3/es
Priority to AU2017294578A priority patent/AU2017294578B2/en
Priority to KR1020177033041A priority patent/KR102011589B1/ko
Publication of WO2018099083A1 publication Critical patent/WO2018099083A1/zh

Links

Images

Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03D—WIND MOTORS
    • F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03D—WIND MOTORS
    • F03D1/00—Wind motors with rotation axis substantially parallel to the air flow entering the rotor 
    • F03D1/06—Rotors
    • F03D1/065—Rotors characterised by their construction elements
    • F03D1/0675—Rotors characterised by their construction elements of the blades
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03D—WIND MOTORS
    • F03D3/00—Wind motors with rotation axis substantially perpendicular to the air flow entering the rotor 
    • F03D3/005—Wind motors with rotation axis substantially perpendicular to the air flow entering the rotor  the axis being vertical
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03D—WIND MOTORS
    • F03D80/00—Details, components or accessories not provided for in groups F03D1/00 - F03D17/00
    • F03D80/40—Ice detection; De-icing means
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03D—WIND MOTORS
    • F03D9/00—Adaptations of wind motors for special use; Combinations of wind motors with apparatus driven thereby; Wind motors specially adapted for installation in particular locations
    • F03D9/20—Wind motors characterised by the driven apparatus
    • F03D9/25—Wind motors characterised by the driven apparatus the apparatus being an electrical generator
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03D—WIND MOTORS
    • F03D7/00—Controlling wind motors 
    • F03D7/02—Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor
    • F03D7/04—Automatic control; Regulation
    • F03D7/042—Automatic control; Regulation by means of an electrical or electronic controller
    • F03D7/047—Automatic control; Regulation by means of an electrical or electronic controller characterised by the controller architecture, e.g. multiple processors or data communications
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03D—WIND MOTORS
    • F03D7/00—Controlling wind motors 
    • F03D7/02—Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor
    • F03D7/04—Automatic control; Regulation
    • F03D7/042—Automatic control; Regulation by means of an electrical or electronic controller
    • F03D7/048—Automatic control; Regulation by means of an electrical or electronic controller controlling wind farms
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2270/00—Control
    • F05B2270/30—Control parameters, e.g. input parameters
    • F05B2270/32—Wind speeds
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2270/00—Control
    • F05B2270/30—Control parameters, e.g. input parameters
    • F05B2270/327—Rotor or generator speeds
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/72—Wind turbines with rotation axis in wind direction
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/74—Wind turbines with rotation axis perpendicular to the wind direction

Definitions

  • the present application relates generally to the field of wind power generation technologies, and in particular, to a method and device for identifying a icing state of a wind turbine blade.
  • the wind power generator can be limited in power control. It can be understood that when the torque of the wind turbine reaches the rated torque, the wind turbine generator can output constant power through pitch control.
  • the application provides a method and device for identifying the icing state of a wind turbine blade.
  • an embodiment of the present application provides a method for identifying a icing state of a wind turbine blade, comprising: setting a preset wind speed threshold and a preset speed threshold, and setting the preset speed threshold to a limited power condition of the wind turbine.
  • the lower limit of the maximum limit speed of the lower running obtaining the current wind speed and the current speed of the wind turbine, and respectively comparing with the preset wind speed threshold and the preset speed threshold; when the current wind speed is greater than the preset wind speed threshold and the wind turbine When the current rotation speed is less than the preset speed threshold, the blade icing possibility index is incremented, otherwise the blade icing possibility index is decreased; and when the blade icing possibility index is greater than the preset index, the blade is determined to be in an icing state, wherein Set the speed threshold to be greater than the minimum speed of the wind turbine.
  • the embodiment of the present application provides a wind turbine generator blade icing state identification device, including: a threshold setting module configured to set a preset wind speed threshold and a preset speed threshold, And setting a preset speed threshold to a lower limit value of the maximum limit speed of the wind turbine operating under the limited power condition; the icing possibility index judging module is configured to acquire the current wind speed and the current speed of the wind turbine, and respectively Compared with the preset wind speed threshold and the preset speed threshold, when the current wind speed is greater than the preset wind speed threshold and the current speed of the wind turbine is less than the preset speed threshold, the blade icing possibility index is incremented, otherwise the blade icing possibility is decreased. And an icing determination module configured to determine that the blade is icy when the icing probability index is greater than a predetermined index, wherein the predetermined rotational speed threshold is greater than a minimum rotational speed of the wind turbine.
  • an embodiment of the present application provides a wind turbine generator blade icing state identification device, including a memory and a processor.
  • the memory is for storing computer executable instructions;
  • the processor is for executing computer executable instructions for memory storage, the computer executable instructions causing the processor to execute the wind turbine blade icing state identification method.
  • FIG. 1 is a schematic diagram showing an operating parameter curve of a wind power generator set in a state in which a blade is icy according to an embodiment of the present application;
  • FIG. 2 is a schematic diagram of a torque-speed characteristic curve of a wind power generator under a limited power condition according to an embodiment of the present application
  • FIG. 3 is a flow chart of a wind turbine generator blade icing state identification method according to an embodiment of the present application
  • FIG. 4 is a schematic block diagram of a wind turbine blade icing state recognizing device according to an embodiment of the present application.
  • FIG. 5 is a schematic block diagram of a computing device implementation of a wind turbine blade icing state identification device in accordance with an embodiment of the present application.
  • FIG. 1 is a schematic diagram showing an operating parameter curve of a wind power generator in a state in which a blade is icy according to an embodiment of the present application.
  • the curve is a running parameter curve of a wind turbine generator set with a rated power of 1500 kW, wherein the horizontal axis is the time axis, and the square point curve represents 10 on the main coordinate axis (the vertical axis is the left speed axis).
  • the minute average wind speed (wind-speed-avg), the fork-shaped point curve represents the 10-minute average generator speed (generator-speed-avg) located on the main coordinate axis (the vertical axis is the left-hand speed axis), and the hollow dot curve indicates The 10-minute average power (gird-active-power-avg) at the secondary axis (the power axis on the right axis).
  • the blades of the generator set are in a state of severe stall: for example, at a wind speed close to 10 m/s, the speed of the generator set is maintained at a minimum speed of 10 rpm.
  • the power is less than 200kW.
  • the main characteristics of the generator set in the above severe icing condition are: at a large wind speed, the speed of the genset is close to the minimum speed due to the stall of the blade, and the power of the genset falls with the rotation speed.
  • the large wind speed here means that the operating parameters of the generator set under icing or limited power conditions are significantly different from those of the operating parameters that are not under icing or limited power conditions. For example, a large wind speed can take 10m/s. At this wind speed, if the genset is not in an icy state, the genset speed is the maximum speed; if the blade stalls due to severe icing, the speed may drop to the minimum speed.
  • the power of the generator set is the power in the free power generation state (for example, 1200 kW), and the speed of the generator set is the maximum speed;
  • the limited power value is less power, for example 400kW, the actual power of the unit is 400kW, and the speed of the generator set is the low speed corresponding to the limit power value of 400kW.
  • the maximum speed and minimum speed here can be understood as the wind turbine's own properties.
  • FIG. 2 is a schematic diagram of a torque-speed characteristic curve of a wind power generator set under limited power conditions according to an embodiment of the present application.
  • the abscissa is the speed, represented by the letter n, the ordinate For torque, denoted by the letter T.
  • the maximum limit speed of the generator set operating under limited power conditions can be expressed by n_limit, which is determined by the limit power value.
  • n_limit is determined by the limit power value.
  • the genset speed is limited to n_limit and the power is limited to the power corresponding to n_limit at a large wind speed; and at a small wind speed, the genset is in a free power generation state.
  • the speed is between the minimum speed and the maximum speed limit.
  • n_min The minimum speed here is represented by n_min
  • n_limit the maximum speed limit
  • a preset wind speed threshold is preset, and a wind speed greater than the preset wind speed threshold may be understood as the above-mentioned large wind speed, and a wind speed smaller than the preset wind speed threshold may be understood as the smaller wind speed described above.
  • the preset wind speed value is used as a judgment condition for the blade icing state recognition.
  • the preset wind speed threshold may be set according to experience or calculated by: minimizing the constant speed segment of the torque-speed characteristic curve with the preset maximum speed n_max in the torque-speed characteristic curve under the limited power condition The wind speed value corresponding to the moment is multiplied by the preset coefficient.
  • FIG. 3 is a flow chart of a method for identifying a icing state of a wind turbine blade according to an embodiment of the present application.
  • the method may include the following steps: S310, setting a preset wind speed threshold and a preset speed threshold, and setting the preset speed threshold to a lower limit value of the maximum limit speed of the wind turbine operating under the limited power condition; S320: Acquire current wind speed and current speed of the unit, and compare with the preset wind speed threshold and the preset speed threshold respectively. When the current wind speed is greater than the preset wind speed threshold and the current speed of the unit is less than the preset speed threshold, the incremental blade freezes.
  • the probability index otherwise decreasing the blade icing possibility index; S330, when the icing possibility index is greater than the preset index, determining that the blade is frozen.
  • the preset speed threshold is greater than the minimum speed of the unit.
  • the method further includes monitoring/receiving an external environmental indicator of the generator set, comparing the external environmental indicator of the generating set with the blade freezing inducing index to determine whether the external environmental indicator of the generating set meets Conditions that induce icing.
  • the process flow shown in Figure 3 begins after it is determined that the external environmental indicators of the unit are in compliance with the blade icing induction indicators.
  • the external environmental indicators of the unit can be obtained in a variety of ways.
  • the external environmental indicators of the unit can be obtained by sensors disposed outside the unit.
  • the external environmental indicator of the unit may also be collected from a database including the external environmental indicators of the unit, or may be a measured external environmental indicator of the unit directly receiving the manual input.
  • the external environmental indicator of the unit may include temperature and humidity. For example, when the external ambient temperature of the unit is lower than 5 ° C and the relative humidity is higher than 90%, the method of starting the blade icing state shown in FIG. 3 is started.
  • the preset speed threshold set in step S310 may be greater than the minimum speed of the unit and less than the intermediate value of the minimum speed and the maximum speed of the unit.
  • the minimum and maximum speeds herein may be the minimum and maximum speeds corresponding to the endpoints in the torque-speed characteristic of the wind turbine of FIG. 2.
  • a value n0 can be set, then the preset speed threshold n_ref can be represented by a minimum speed n_min+n0, which makes n_max, n_ref closer to n_min.
  • n_ref One of the functions of the preset speed threshold n_ref is to determine the condition of the blade icing state of the generator set, and the other function is to set the lower limit value for the maximum limit speed n_limit of the genset operating under the limited power condition.
  • n_limit is greater than n_ref
  • n_limit is not limited by n_ref
  • n_limit is assigned to n_ref.
  • the corrected n_limit can be sent to the field-level wind turbine energy management platform, and the field-level wind turbine energy management platform adjusts the limit power value issued to the single machine in real time according to the actual value of the n_limit.
  • the modified n_limit may also be sent to the wind farm controller, for example, a wind farm controller with wind farm control and normal power regulation. The method of the above embodiment may be performed by the wind farm controller. For example, several wind turbines in the wind farm may be selected to perform control of the above method to identify the blade icing state.
  • the preset wind speed threshold is less than a wind speed value corresponding to a minimum torque of a constant speed segment whose speed is a preset maximum speed n_max in a torque-speed characteristic curve of the wind turbine under a limited power condition.
  • the preset wind speed threshold may be obtained by multiplying a preset speed by a wind speed value corresponding to a minimum torque of a constant speed segment of the preset maximum speed in the torque-speed curve of the wind speed.
  • the preset coefficients herein may take a value between 0.5 and 1, such as 0.8.
  • the rotation speed may be lower than the preset speed threshold. Even if the blade is in the icing state, the unit can continue to operate or detect the icing state by other methods, such as power, due to the small icing load of the blade. The wind speed does not match.
  • the embodiments of the present application are not described again, but the method for identifying the blade icing state of the present application and the blade at the above-mentioned small wind speed are not hindered.
  • the icing state identification method is used in combination.
  • the preset index in S330 can be determined based on the update period of the blade icing probability index.
  • the update period of the blade icing possibility index is the execution period of the method of the above embodiment, and is generally several milliseconds to several tens of milliseconds.
  • the update of the leaf icing probability index may represent the risk of blade icing at this moment, so it is necessary to consider that the blade icing still needs to consider the blade at a high risk of icing in a certain period of time. Icing.
  • the length of time of the entire decision can be specifically defined by setting a preset index. For example, a counter can be set to be initialized to 0.
  • the counter value When the wind speed is greater than the preset wind speed threshold and the current speed of the unit is less than the preset speed threshold, the counter value is incremented by 1, otherwise it is decremented by 1. The counter value is judged, and if the counter value exceeds the limit, it is determined that the blade is frozen. In one example, when the counter value is less than zero, the counter value is limited to zero. If the length of time for defining the entire decision is 10 minutes, the preset index can be set to tens of thousands to hundreds of thousands.
  • the low speed value and the low speed value of the limited power are effectively The low speed value of the ice causes the stall to be separated, which can effectively judge whether the wind turbine is in the state of blade icing when operating under the limited power condition, thereby avoiding the risk that the wind turbine will fail due to the icing of the blade.
  • the blade icing state can be accurately identified when the blade is icy and causes severe stall at a large wind speed.
  • a wind turbine blade icing state recognizing device 400 includes a threshold setting module 410, an icing possibility index determining module 420, and an icing judging module 430, and the threshold setting module 410 is configured to set a preset wind speed threshold and a preset The speed threshold is set and the preset speed threshold is set to the lower limit of the maximum limit speed at which the wind turbine is operating under limited power conditions.
  • the icing possibility index determining module 420 is configured to acquire the current wind speed and the current speed of the unit, and compare with the preset wind speed threshold and the preset speed threshold respectively, when the current wind speed is greater than the preset wind speed threshold and the current unit speed is less than the preset When the speed threshold is set, the blade icing possibility index is incremented, otherwise the blade icing possibility index is decreased.
  • the icing determination module 430 is configured to determine that the blade is frozen when the icing probability index is greater than a predetermined index.
  • the preset speed threshold is greater than the minimum speed of the unit.
  • the apparatus further includes an environmental determination module configured to monitor an external environmental indicator of the receiver/receiver group, and compare the external environmental indicator of the unit with the blade icing induction index to determine whether the external environmental indicator of the unit satisfies the induced icing.
  • the condition is that, after determining that the external environmental indicator of the unit meets the blade icing induction index, the threshold setting module is notified to set a preset wind speed threshold and a preset speed threshold, and the preset speed threshold is set to the wind turbine limit The lower limit of the maximum limit speed for operation under power conditions.
  • the external environmental indicators of the unit include temperature and humidity.
  • the preset speed threshold may be greater than the minimum speed of the unit and less than the intermediate value of the minimum and maximum speeds of the unit. In one example, the preset wind speed threshold is less than the wind speed value corresponding to the minimum torque of the constant speed segment of the preset maximum speed in the torque-speed characteristic curve of the unit under the limited power condition. In one example, the preset index may be determined based on an update period of the blade icing likelihood index.
  • the wind turbine blade icing state recognizing device 400 may correspond to an execution body of the wind turbine blade icing state recognizing method according to an embodiment of the present application, and the wind turbine blade icing state recognizing device 400
  • the above and other operations and/or functions of the respective modules are respectively implemented in order to implement the corresponding processes of the method in FIG. 3, and are not described herein again for brevity.
  • the wind turbine generator blade icing state identifying device effectively sets the low speed value at the limited power and the stall due to icing by setting the lower limit value for the maximum limit speed of the wind turbine under the limited power condition.
  • the low speed value is separated, it can effectively judge whether the wind turbine is in the state of blade icing when operating under the limited power condition, thereby avoiding the risk that the wind turbine will fail due to the icing of the blade.
  • the blade icing state can be accurately identified when the blade is icy and causes severe stall at a large wind speed.
  • Figure 5 illustrates a knot of a wind turbine blade icing state identification device in accordance with an embodiment.
  • the wind turbine blade icing state identification method and at least a portion of the wind turbine blade icing state identification device described in connection with FIGS. 3 and 4 may be comprised by the computing device 500 including the input device 501, the processor 503, and a memory 504 for storing computer executable instructions; a processor 503 for executing memory stored executable instructions, the executable instructions causing the processor to execute the wind turbine blade icing state recognition method; and the input device 501 for acquiring Current wind speed and current speed of the unit.
  • the computing device 500 can also include an input port 502, an output port 505, and an output device 506.
  • the input port 502, the processor 503, the memory 504, and the output port 505 are mutually connected by a bus 510, and the input device 501 and the output device 506 are connected to the bus 510 through the input port 502 and the output port 505, respectively, and thus the computing device 500.
  • Other components are connected.
  • the output interface and input interface can be represented by an I/O interface.
  • the input device 501 receives input information from the outside and transmits the input information to the processor 503 through the input port 502; the processor 503 processes the input information based on computer executable instructions stored in the memory 504 to generate output information, The output information is temporarily or permanently stored in the memory 504, and then the output information is transmitted to the output device 506 through the output port 505; the output device 506 outputs the output information to the outside of the computing device 500.
  • the above memory 504 includes a mass storage for data or instructions.
  • memory 504 may comprise a HDD, a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape or a universal serial bus (USB) drive, or a combination of two or more of these.
  • Memory 504 may include removable or non-removable (or fixed) media, where appropriate.
  • Memory 504 can be internal or external to computing device 500, where appropriate.
  • memory 504 is a non-volatile solid state memory.
  • memory 504 includes a read only memory (ROM).
  • the ROM may be a mask programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), an electrically rewritable ROM (EAROM) or flash memory or A combination of two or more of these.
  • PROM programmable ROM
  • EPROM erasable PROM
  • EEPROM electrically erasable PROM
  • EAROM electrically rewritable ROM
  • flash memory or A combination of two or more of these.
  • Bus 510 includes hardware, software, or both, coupling components of computing device 500 to each other.
  • bus 510 may include an accelerated graphics port (AGP) or other graphics bus, an enhanced industry standard architecture (EISA) bus, a front side bus (FSB), a super transfer (HT) interconnect, an industry standard architecture (ISA) ) bus, infinite bandwidth interconnect, low pin count (LPC) bus, memory total Line, Micro Channel Architecture (MCA) bus, Peripheral Component Interconnect (PCI) bus, PCI-Express (PCI-X) bus, Serial Advanced Technology Attachment (SATA) bus, Video Electronics Standards Association Partial (VLB) bus, or other A suitable bus or a combination of two or more of these.
  • Bus 510 may include one or more buses 510, where appropriate. Although a particular bus is described and illustrated in this application, the present application contemplates any suitable bus or interconnect.
  • the input device 501 receives the current wind speed and the current rotational speed of the unit, in a particular embodiment, coupled to the output device.
  • the I/O interface can include hardware, software, or both, providing one or more interfaces for communication between the computing device 500 and one or more I/O devices.
  • computing device 500 can include one or more of these I/O devices. One or more of these I/O devices may allow communication between the person and computer system 500.
  • I/O devices may include a keyboard, keypad, microphone, monitor, mouse, printer, scanner, speaker, still camera, stylus, tablet, touch screen, trackball, video camera, another A suitable I/O device or a combination of two or more of these.
  • the I/O device can include one or more sensors.
  • the I/O interface may include one or more devices or software drivers capable of allowing the processor 503 to drive one or more of these I/O devices.
  • the I/O interface can include one or more I/O interfaces.
  • the processor 503 is based on computer executable instructions stored in the memory 504 and is respectively compared with a preset wind speed threshold and a preset speed threshold, when the current wind speed is greater than a preset wind speed threshold and the current unit speed is less than a preset speed threshold. At the time, the blade icing probability index is incremented, otherwise the blade icing probability index is decreased. The above-described icing state recognition result is then output via the output port 505 and the output device 506.
  • the wind turbine blade icing state recognizing apparatus may also be implemented to include a memory 504 storing computer executable instructions and a processor 503, the processor 503 executing computer executable instructions
  • the wind turbine blade icing state identification method and the wind turbine blade icing state identification device described in conjunction with FIGS. 3 and 4 can be implemented.
  • computer-executable instructions may include one or more semiconductor-based or other integrated circuits (ICs) (eg, such as field programmable gate arrays (FPGAs) or application specific ICs (ASICs)), hard disk drives (HDDs) ), hybrid hard disk drive (HHD), optical disk, optical disk drive (ODD), magneto-optical disk, magneto-optical disk drive, floppy disk, floppy disk drive (FDD), magnetic tape, holographic storage media, solid state drive (SSD), RAM drive, secure digital card Or a drive or other suitable computer readable non-transitory storage medium or a combination of two or more of these.
  • ICs eg, such as field programmable gate arrays (FPGAs) or application specific ICs (ASICs)
  • HDDs hard disk drives
  • HDDs hybrid hard disk drive
  • ODD optical disk drive
  • magneto-optical disk magneto-optical disk drive
  • FDD floppy disk
  • FDD floppy disk drive
  • magnetic tape

Landscapes

  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Wind Motors (AREA)
  • Control Of Eletrric Generators (AREA)

Abstract

一种风力发电机组叶片结冰状态识别方法及装置。该方法包括：设置预设风速阈值和预设转速阈值，并将预设转速阈值设置为风力发电机组在限功率条件下运行的最大限制转速的下限值（S310）；获取当前风速和风力发电机组的当前转速，并分别与预设风速阈值和预设转速阈值相比较；当当前风速大于预设风速阈值且风力发电机组的当前转速小于预设转速阈值时，递增叶片结冰可能性指数，否则递减叶片结冰可能性指数（S320）；以及当叶片结冰可能性指数大于预设指数时，判定叶片处于结冰状态（S330），其中，预设转速阈值大于风力发电机组的最小转速。

Description

风力发电机组叶片结冰状态识别方法及装置 技术领域
本申请总地涉及风力发电技术领域，尤其涉及一种风力发电机组叶片结冰状态识别方法及装置。
背景技术
随着风力发电技术的不断发展，风力发电机组现在已经得到了广泛应用。在一定条件下，会对风力发电机进行限功率控制，可以理解为当风力发电机组的转矩达到额定转矩后，通过变桨控制使风力发电机组恒功率输出。
目前，对限功率条件下的叶片结冰状态还没有一个有效的识别装置或方法，而机组在限功率条件下运行在部分风电场已成常态，同时风电场存在大量的机组叶片冬季结冰的现象。
发明内容
本申请提供了一种风力发电机组叶片结冰状态识别方法及装置。
第一方面，本申请实施例提供了一种风力发电机组叶片结冰状态识别方法，包括：设置预设风速阈值和预设转速阈值，并将预设转速阈值设置为风力发电机组在限功率条件下运行的最大限制转速的下限值；获取当前风速和风力发电机组的当前转速，并分别与预设风速阈值和预设转速阈值相比较；当当前风速大于预设风速阈值且风力发电机组的当前转速小于预设转速阈值时，递增叶片结冰可能性指数，否则递减叶片结冰可能性指数；以及当叶片结冰可能性指数大于预设指数时，判定叶片处于结冰状态，其中，预设转速阈值大于风力发电机组的最小转速。
第二方面，本申请实施例提供了一种风力发电机组叶片结冰状态识别装置，包括：阈值设置模块，被配置为设置预设风速阈值和预设转速阈值， 并将预设转速阈值设置为风力发电机组在限功率条件下运行的最大限制转速的下限值；结冰可能性指数判断模块，被配置为获取当前风速和风力发电机组的当前转速，并分别与预设风速阈值和预设转速阈值相比较，当当前风速大于预设风速阈值且风力发电机组的当前转速小于预设转速阈值时，递增叶片结冰可能性指数，否则递减叶片结冰可能性指数；以及结冰判断模块，被配置为当结冰可能性指数大于预设指数时，判定叶片结冰，其中，所述预设转速阈值大于所述风力发电机组的最小转速。
第三方面，本申请实施例提供了一种风力发电机组叶片结冰状态识别设备，包括存储器和处理器。存储器用于存储计算机可执行指令；处理器用于执行存储器存储的计算机可执行指令，计算机可执行指令使得处理器执行使得处理器执行上述风力发电机组叶片结冰状态识别方法。
附图说明
为了更清楚地说明本申请实施例的技术方案，下面将对本申请实施例中所需要使用的附图作简单地介绍，显而易见地，下面所描述的附图仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1是根据本申请的一个实施例的风力发电机组在叶片结冰状态下的运行参数曲线示意图；
图2是根据本申请的一个实施例的风力发电机组在限功率条件下的转矩-转速特性曲线示意图；
图3是根据本申请的一个实施例的风力发电机组叶片结冰状态识别方法的流程图；
图4是根据本申请的一个实施例的风力发电机组叶片结冰状态识别装置的示意性框图；
图5是根据本申请的一个实施例的风力发电机组叶片结冰状态识别装置的计算设备实现方式的示意性框图。
具体实施方式
为使本申请的实施例更加清楚，下面将结合附图对本申请的实施例进行清楚、完整的描述。显然，所描述的实施例是本申请的一部分实施例，而不是全部实施例。基于本申请中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例都属于本申请保护的范围。
在不冲突的情况下，本申请中的实施例及实施例中的特征可以相互组合。下面将参考附图并结合实施例来详细说明本申请。
图1是根据本申请的一个实施例的风力发电机组在叶片结冰状态下的运行参数曲线示意图。如图1所示，该曲线示意图为额定功率为1500kW的风机发电机组的运行参数曲线，其中，横轴为时间轴，方形点曲线表示位于主坐标轴(纵轴为左边的速度轴)的10分钟平均风速(wind-speed-avg)，叉形点曲线表示位于主坐标轴(纵轴为左边的转速轴)的10分钟平均发电机组转速(generator-speed-avg)，而空心圆点曲线表示位于次坐标轴(纵轴为右边的功率轴)的10分钟平均功率(gird-active-power-avg)。如图1所示，在结冰严重的7点至10点的时间段里，发电机组的叶片处于严重失速的状态：例如在接近10m/s的风速下，发电机组的转速维持在最小转速10rpm，功率低于200kW。发电机组在上述严重结冰状态下的主要特征为：较大风速下，因叶片失速而使得发电机组的转速接近最小转速，发电机组的功率随转速跌落。这里的较大风速指在该风速下，发电机组处于结冰或限功率条件下的运行参数与未处于结冰或限功率条件下的运行参数有明显不同。例如较大风速可以取10m/s。在该风速下，如果发电机组未处于结冰状态，则发电机组的转速为最大转速；如果叶片因结冰严重而失速，转速可能会跌落至最小转速。或者，在该风速下，如果未限功率，以上述风力发电机组额定功率为1500kW为例，则发电机组的功率为自由发电状态下的功率(例如1200kW)，发电机组的转速为最大转速；如果限功率值为较小功率，例如400kW，则机组实际功率为400kW，发电机组的转速为与限功率值400kW对应的低转速。这里的最大转速和最小转速可以理解为风力发电机组的自身属性。
图2是本申请的一个实施例的风力发电机组在限功率条件下的转矩-转速特性曲线示意图。如图2所示，横坐标为转速，以字母n表示，纵坐标 为转矩，以字母T表示。发电机组在限功率条件下运行的最大限制转速可以用n_limit表示，由限功率值决定。风力发电机组工作在限功率条件下时，在较大风速下，发电机组的转速被限制在n_limit，功率被限制在n_limit对应的功率处；而在较小风速下，发电机组处于自由发电状态，转速在最小转速与最大限制转速之间。这里的最小转速用n_min表示，最大限制转速用n_limit表示。在本申请的实施例中，预先设置一个预设风速阈值，大于该预设风速阈值的风速可以理解为上述的较大风速，而小于该预设风速阈值的风速可以理解为上述的较小风速。该预设风速值作为叶片结冰状态识别的判断条件。在一个示例中，该预设风速阈值可以根据经验人为设置，或者通过以下方式计算得到：将限功率条件下的转矩-转速特性曲线中转速为预设最大转速n_max的恒转速段的最小转矩所对应的风速值乘以预设系数。
图3是根据本申请一个实施例的风力发电机组叶片结冰状态识别方法的流程图。该方法可以包括以下步骤：S310，设置预设风速阈值和预设转速阈值，并将所述预设转速阈值设置为所述风力发电机组在限功率条件下运行的最大限制转速的下限值；S320，获取当前风速和机组的当前转速，并分别与预设风速阈值和预设转速阈值相比较，当当前风速大于预设风速阈值且机组的当前转速小于预设转速阈值时，递增叶片结冰可能性指数，否则递减叶片结冰可能性指数；S330，当结冰可能性指数大于预设指数时，判定叶片结冰。其中，该预设转速阈值大于机组的最小转速。例如预设转速阈值用n_min+k×n0表示，这里k在0和1之间取值，例如k＝0.5。
在图3的实施例的基础上，该方法还包括监测/接收发电机组的外部环境指标，将发电机组的外部环境指标与叶片结冰诱发指标相比较，以判断发电机组的外部环境指标是否满足诱发结冰的条件。当判定机组外部环境指标符合叶片结冰诱发指标后才开始如图3所示的方法流程。在一个示例中，机组外部环境指标可以通过多种方式获得，在一个示例中，该机组外部环境指标可以通过设置在机组外的传感器获得。在一个示例中，该机组外部环境指标也可以是从包括该机组外部环境指标的数据库中采集得到，还可以是直接接收人工输入的已测得的机组外部环境指标。在一个示例中， 该机组外部环境指标可以包括温度和湿度，例如在该机组外部环境温度低于5℃且相对湿度高于90％时，开始执行开始如图3所示的叶片结冰状态识别方法。
根据一个实施例，步骤S310中所设置的预设转速阈值可以大于机组的最小转速，且小于机组的最小转速与最大转速的中间值。应理解，这里的最小转速和最大转速可以采用图2中的风电机组的转矩-转速特性曲线中的端点对应的最小转速和最大转速。在一个示例中，可以设置一个值n0，那么预设转速阈值n_ref可以用最小转速n_min+n0表示，n0使得相对n_max，n_ref更接近n_min。预设转速阈值n_ref的一个作用是用作判断发电机组的叶片结冰状态的条件，另一个作用是为发电机组在限功率条件下运行的最大限制转速n_limit设定下限值。当n_limit大于n_ref时，n_limit不受n_ref限制；当n_limit小于n_ref时，n_limit被赋值为n_ref。在一个示例中，当n_limit被n_ref修正后，可以将修正后的n_limit发送至场级风电机组能量管理平台，该场级风电机组能量管理平台根据n_limit实际值实时调整对单机下发的限功率值，从而避免单台风电机组不受场级能量管理平台控制。在一个示例中，也可以将修正后的n_limit发送至风电场控制器，例如可以是具有风电场控制及正常功率调节作用的风电场控制器。上述实施例的方法可以被该风电场控制器所执行，例如可以选择风电场中的若干个风电机组进行上述方法的控制来识别叶片结冰状态。
经上述方法对风电机组进行控制后，在较大风速也就是当前风速大于预设风速阈值的情况下，如果叶片未因结冰导致严重失速，不论机组是否处于限功率状态，转速不会低于预设转速阈值；如果叶片因结冰导致严重失速，转速会跌落至预设转速阈值以下，此时叶片的阻力远大于升力，叶片结冰载荷很大，严重影响叶片寿命。在一个示例中，该预设风速阈值小于与风电机组在限功率条件下的转矩-转速特性曲线中转速为预设最大转速n_max的恒转速段的最小转矩对应的风速值。在一个示例中，该预设风速阈值可以通过限功率条件下基于风速的转矩-转速曲线中预设最大转速的恒转速段的最小转矩对应的风速值乘以预设系数获得。在一个示例中，这里的预设系数可以在0.5到1之间取值，例如0.8。在较小风速条件下，不论 叶片是否存在结冰，转速都可能低于预设转速阈值，即便此时叶片处于结冰状态，由于叶片结冰载荷较小，机组可继续运行或由其他方法检出结冰状态，如功率-风速不匹配关系。由于较小风速条件下的这种功率-风速不匹配关系判定方法较简单，本申请的实施例不再赘述，但是也不妨碍本申请的叶片结冰状态识别方法与上述较小风速下的叶片结冰状态识别方法结合使用。
在图3的实施例的基础上，S330中的预设指数可以基于叶片结冰可能性指数的更新周期被确定。叶片结冰可能性指数的更新周期为上述实施例的方法的执行周期，一般为几毫秒至几十毫秒。每次叶片结冰可能性指数的更新都可能代表这一时刻的叶片结冰风险，所以判定叶片结冰还需要考虑在一定时间段内，叶片一直处在结冰风险较高的状态才能判定叶片结冰。因而，可以通过设定预设指数来具体限定整个判定的时间长度。例如，可以设置一个计数器，初始化为0，当风速大于预设风速阈值且机组的当前转速小于预设转速阈值时，计数器的计数值加1，否则减1。对计数器值进行判断，如果计数器值超限，则判定叶片结冰。在一个示例中，当计数器值小于0时，计数器值被限制为0。如果限定整个判定的时间长度为10分钟，则预设指数可以被设置为几万至几十万。
结合图3所示的实施例的风力发电机组叶片结冰状态识别方法，通过为风电机组在限功率条件下的最大限制转速设置下限值，有效地将限功率时的低转速值与因为结冰导致失速时的低转速值区分开来，进而能够有效判断风电机组在限功率条件下运行时是否处于叶片结冰状态，从而避免了风电机组因叶片结冰无法被识别而导致故障的风险。不论机组是处于限功率状态下还是处于正常运行状态，在较大风速下因为叶片结冰导致严重失速时，都可以准确实现叶片结冰状态的识别。
图4是本申请一个实施例的风力发电机组叶片结冰状态识别装置的示意性框图。一种风力发电机组叶片结冰状态识别装置400，包括阈值设置模块410、结冰可能性指数判断模块420和结冰判断模块430，该阈值设置模块410被配置为设置预设风速阈值和预设转速阈值，并将预设转速阈值设置为风力发电机组在限功率条件下运行的最大限制转速的下限值。该 结冰可能性指数判断模块420被配置为获取当前风速和机组的当前转速，并分别与预设风速阈值和预设转速阈值相比较，当当前风速大于预设风速阈值且当前机组的转速小于预设转速阈值时，则递增叶片结冰可能性指数，否则递减叶片结冰可能性指数。该结冰判断模块430被配置为当结冰可能性指数大于预设指数时，判定叶片结冰。其中，该预设转速阈值大于机组的最小转速。在一个示例中，该装置还包括环境判断模块，被配置为监测/接收机组外部环境指标，将机组外部环境指标与叶片结冰诱发指标相比较，以判断机组外部环境指标是否满足诱发结冰的条件，当判定机组外部环境指标符合叶片结冰诱发指标后，通知阈值设置模块，以设置预设风速阈值和预设转速阈值，并将所述预设转速阈值设置为所述风力发电机组在限功率条件下运行的最大限制转速的下限值。机组外部环境指标包括温度和湿度。在一个示例中，预设转速阈值可以大于机组的最小转速，且小于机组的最小转速与最大转速的中间值。在一个示例中，预设风速阈值小于机组在限功率条件下的转矩-转速特性曲线中预设最大转速的恒转速段的最小转矩对应的风速值。在一个示例中，预设指数可以基于叶片结冰可能性指数的更新周期而被确定。
根据本申请实施例的风力发电机组叶片结冰状态识别装置400可对应于根据本申请实施例的风力发电机组叶片结冰状态识别方法的执行主体，并且风力发电机组叶片结冰状态识别装置400中的各个模块的上述和其它操作和/或功能分别为了实现图3中的方法的相应流程，为了简洁，在此不再赘述。
因此，根据本申请实施例风力发电机组叶片结冰状态识别装置，通过为风电机组在限功率条件下的最大限制转速设置下限值，有效将限功率时的低转速值与因为结冰导致失速时的低转速值区分开来，进而能够有效判断风电机组在限功率条件下运行时是否处于叶片结冰状态，从而避免了风电机组因叶片结冰无法被识别而导致故障的风险。不论机组是处于限功率条件下还是处于正常运行状态，在较大风速下因为叶片结冰导致严重失速时，都可以准确实现叶片结冰状态的识别。
图5示出根据一种实施例的风力发电机组叶片结冰状态识别装置的结 构框图。如图5所示，结合图3和图4描述的风力发电机组叶片结冰状态识别方法和风力发电机组叶片结冰状态识别装置的至少一部分可以由计算设备500包括输入设备501、处理器503和存储器504，存储器504用于存储计算机可执行指令；处理器503用于执行存储器存储的可执行指令，可执行指令使得处理器执行上述风力发电机组叶片结冰状态识别方法；输入设备501用于获取当前风速和机组的当前转速。在一个示例中，该计算设备500还可以包括输入端口502、输出端口505以及输出设备506。其中，输入端口502、处理器503、存储器504、以及输出端口505通过总线510相互连接，输入设备501和输出设备506分别通过输入端口502和输出端口505与总线510连接，进而与计算设备500的其他组件连接。输出接口和输入接口可以用I/O接口表示。具体地，输入设备501接收来自外部的输入信息，并通过输入端口502将输入信息传送到处理器503；处理器503基于存储器504中存储的计算机可执行指令对输入信息进行处理以生成输出信息，将输出信息临时或者永久地存储在存储器504中，然后通过输出端口505将输出信息传送到输出设备506；输出设备506将输出信息输出到计算设备500的外部。
上述存储器504包括用于数据或指令的大容量存储器。举例来说而非限制，存储器504可包括HDD、软盘驱动器、闪存、光盘、磁光盘、磁带或通用串行总线(USB)驱动器或者两个或更多个以上这些的组合。在合适的情况下，存储器504可包括可移除或不可移除(或固定)的介质。在合适的情况下，存储器504可在计算设备500的内部或外部。在特定实施例中，存储器504是非易失性固态存储器。在特定实施例中，存储器504包括只读存储器(ROM)。在合适的情况下，该ROM可以是掩模编程的ROM、可编程ROM(PROM)、可擦除PROM(EPROM)、电可擦除PROM(EEPROM)、电可改写ROM(EAROM)或闪存或者两个或更多个以上这些的组合。
总线510包括硬件、软件或两者，将计算设备500的部件彼此耦接在一起。举例来说而非限制，总线510可包括加速图形端口(AGP)或其他图形总线、增强工业标准架构(EISA)总线、前端总线(FSB)、超传输(HT)互连、工业标准架构(ISA)总线、无限带宽互连、低引脚数(LPC)总线、存储器总 线、微信道架构(MCA)总线、外围组件互连(PCI)总线、PCI-Express(PCI-X)总线、串行高级技术附件(SATA)总线、视频电子标准协会局部(VLB)总线或其他合适的总线或者两个或更多个以上这些的组合。在合适的情况下，总线510可包括一个或多个总线510。尽管本申请实施例描述和示出了特定的总线，但本申请考虑任何合适的总线或互连。
当通过图5所示的计算设备500实现结合图5描述的风力发电机组叶片结冰状态识别装置时，输入设备501接收当前风速和机组的当前转速，在特定实施例中，与输出设备相连的I/O接口可以包括硬件、软件或两者，提供用于在计算设备500与一个或多个I/O设备之间的通信的一个或多个接口。在合适的情况下，计算设备500可包括一个或多个这些I/O设备。一个或多个这些I/O设备可允许人和计算机系统500之间的通信。举例来说而非限制，I/O设备可包括键盘、小键盘、麦克风、监视器、鼠标、打印机、扫描仪、扬声器、静态照相机、触针、手写板、触摸屏、轨迹球、视频摄像机、另一合适的I/O设备或者两个或更多个以上这些的组合。I/O设备可包括一个或多个传感器。本申请实施例考虑用于它们的任何合适的I/O设备和任何合适的I/O接口。在合适的情况下，I/O接口可包括一个或多个装置或能够允许处理器503驱动一个或多个这些I/O设备的软件驱动器。在合适的情况下，I/O接口可包括一个或多个I/O接口。尽管本申请实施例描述和示出了特定的I/O接口，但本申请实施例考虑任何合适的I/O接口。该处理器503基于存储器504中存储的计算机可执行指令，并分别与预设风速阈值和预设转速阈值相比较，当所述当前风速大于预设风速阈值且当前机组的转速小于预设转速阈值时，则递增叶片结冰可能性指数，否则递减叶片结冰可能性指数。随后经由输出端口505和输出设备506将上述结冰状态识别结果输出。
也就是说，根据本申请实施例的风力发电机组叶片结冰状态识别装置也可以被实现为包括存储有计算机可执行指令的存储器504以及处理器503，该处理器503在执行计算机可执行指令时，可以实现结合图3和图4描述的风力发电机组叶片结冰状态识别方法和风力发电机组叶片结冰状态识别装置。
在合适的情况下，计算机可执行指令可包括一个或多个基于半导体的或其他集成电路(IC)(例如，诸如现场可编程门阵列(FPGA)或专用IC(ASIC))、硬盘驱动器(HDD)、混合硬盘驱动器(HHD)、光盘、光盘驱动器(ODD)、磁光盘、磁光盘驱动器、软盘、软盘驱动器(FDD)、磁带、全息存储介质、固态驱动器(SSD)、RAM驱动器、安全数字卡或驱动或其他合适的计算机可读非临时性存储介质或者两个或更多个以上这些的组合。

Claims (11)

  1. 一种风力发电机组叶片结冰状态识别方法，其特征在于，包括：
    设置预设风速阈值和预设转速阈值，并将所述预设转速阈值设置为所述风力发电机组在限功率条件下运行的最大限制转速的下限值；
    获取当前风速和所述风力发电机组的当前转速，并分别与所述预设风速阈值和所述预设转速阈值相比较；
    当所述当前风速大于所述预设风速阈值且所述风力发电机组的当前转速小于所述预设转速阈值时，递增叶片结冰可能性指数，否则递减所述叶片结冰可能性指数；以及
    当所述叶片结冰可能性指数大于预设指数时，判定所述叶片处于结冰状态，
    其中，所述预设转速阈值大于所述风力发电机组的最小转速。
  2. 根据权利要求1所述的方法，其特征在于，还包括：
    监测所述风力发电机组的外部环境指标；
    将所述外部环境指标与所述风力发电机组的叶片结冰诱发指标相比较；并且
    当判定所述外部环境指标符合所述叶片结冰诱发指标时，设置所述预设风速阈值和所述预设转速阈值。
  3. 根据权利要求1所述的方法，其特征在于，所述预设转速阈值大于所述风力发电机组的最小转速，且小于所述风力发电机组的最小转速与最大转速的中间值。
  4. 根据权利要求1所述的方法，其特征在于，所述预设风速阈值小于与所述风力发电机组在所述限功率条件下的转矩-转速特性曲线中转速为预设最大转速的恒转速段的最小转矩对应的风速值。
  5. 根据权利要求1所述的方法，其特征在于，所述预设指数基于所述 叶片结冰可能性指数的更新周期而被确定。
  6. 一种风力发电机组叶片结冰状态识别装置，其特征在于，包括：
    阈值设置模块，被配置为设置预设风速阈值和预设转速阈值，并将所述预设转速阈值设置为所述风力发电机组在限功率条件下运行的最大限制转速的下限值；
    结冰可能性指数判断模块，被配置为获取当前风速和所述风力发电机组的当前转速，并分别与所述预设风速阈值和所述预设转速阈值相比较，当所述当前风速大于所述预设风速阈值且所述风力发电机组的当前转速小于所述预设转速阈值时，递增叶片结冰可能性指数，否则递减所述叶片结冰可能性指数；以及
    结冰判断模块，被配置为当所述结冰可能性指数大于预设指数时，判定所述叶片结冰，
    其中，所述预设转速阈值大于所述风力发电机组的最小转速。
  7. 根据权利要求6所述的装置，其特征在于，还包括环境判断模块，被配置为监测所述风力发电机组的外部环境指标，将所述外部环境指标与叶片结冰诱发指标相比较，当判定所述外部环境指标符合所述叶片结冰诱发指标时，设置所述预设风速阈值和所述预设转速阈值。
  8. 根据权利要求6所述的装置，其特征在于，所述预设转速阈值大于所述风力发电机组的最小转速，且小于所述风力发电机组的最小转速与最大转速的中间值。
  9. 根据权利要求6所述的装置，其特征在于，所述预设风速阈值小于所述风力发电机组在所述限功率条件下的转矩-转速特性曲线中转速为预设最大转速的恒转速段的最小转矩对应的风速值。
  10. 根据权利要求6所述的装置，其特征在于，所述预设指数基于所述 叶片结冰可能性指数的更新周期而确定。
  11. 一种风力发电机组叶片结冰状态识别设备，其特征在于，包括：
    存储器，用于存储计算机可执行指令；以及
    处理器，用于执行所述存储器存储的计算机可执行指令，所述计算机可执行指令使得所述处理器执行权利要求1至权利要求5中的任一项所述的风力发电机组叶片结冰状态识别方法。
PCT/CN2017/092073 2016-11-29 2017-07-06 风力发电机组叶片结冰状态识别方法及装置 WO2018099083A1 (zh)

Priority Applications (5)

Application Number Priority Date Filing Date Title
US15/741,912 US10767634B2 (en) 2016-11-29 2017-07-06 Blade icing state identification method and apparatus for wind generator set
EP17818415.6A EP3460237B1 (en) 2016-11-29 2017-07-06 Wind turbine blade icing status identification method and device
ES17818415T ES2865438T3 (es) 2016-11-29 2017-07-06 Método y dispositivo de identificación del estado de formación de hielo en las palas de un aerogenerador
AU2017294578A AU2017294578B2 (en) 2016-11-29 2017-07-06 Blade icing state identification method and apparatus for wind generator set
KR1020177033041A KR102011589B1 (ko) 2016-11-29 2017-07-06 풍력 발전기 블레이드 결빙 상태 식별 방법 및 장치

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201611078317.2A CN108119319B (zh) 2016-11-29 2016-11-29 风力发电机组叶片结冰状态识别方法及装置
CN201611078317.2 2016-11-29

Publications (1)

Publication Number Publication Date
WO2018099083A1 true WO2018099083A1 (zh) 2018-06-07

Family

ID=62226953

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2017/092073 WO2018099083A1 (zh) 2016-11-29 2017-07-06 风力发电机组叶片结冰状态识别方法及装置

Country Status (7)

Country Link
US (1) US10767634B2 (zh)
EP (1) EP3460237B1 (zh)
KR (1) KR102011589B1 (zh)
CN (1) CN108119319B (zh)
AU (1) AU2017294578B2 (zh)
ES (1) ES2865438T3 (zh)
WO (1) WO2018099083A1 (zh)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110273818A (zh) * 2019-06-10 2019-09-24 浙江大学 一种基于轴变换粗细度分类的风机叶片结冰故障监测方法
CN112283025A (zh) * 2020-10-14 2021-01-29 明阳智慧能源集团股份公司 一种避免风电机组限功率运行在共振区域的控制方法
CN116313196A (zh) * 2023-01-12 2023-06-23 华能海南昌江核电有限公司 设备状态的监测方法以及装置、存储介质、电子设备

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109026563B (zh) * 2018-07-24 2019-12-27 上海电力学院 一种基于特征选择和XGBoost的风机叶片结冰预测方法
CN110285027B (zh) * 2019-04-30 2020-08-18 长沙理工大学 风力发电机叶片除冰方法、除冰系统及终端设备
CN113007041A (zh) * 2021-03-02 2021-06-22 山东中车风电有限公司 一种风电机组叶片结冰检测系统及检测方法
CN113803223B (zh) * 2021-08-11 2022-12-20 明阳智慧能源集团股份公司 一种风机叶片结冰状态实时监测方法、系统、介质及设备
CN113847216B (zh) * 2021-10-14 2023-09-26 远景智能国际私人投资有限公司 风机叶片的状态预测方法、装置、设备及存储介质

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202280571U (zh) * 2011-10-13 2012-06-20 国电联合动力技术有限公司 风力发电机组冰载运行优化控制系统
US20120226485A1 (en) * 2011-03-03 2012-09-06 Inventus Holdings, Llc Methods for predicting the formation of wind turbine blade ice
CN103603769A (zh) * 2013-11-23 2014-02-26 大连尚能科技发展有限公司 一种变桨矩风力发电机组的风机叶片结冰自检测方法
CN104066983A (zh) * 2011-12-22 2014-09-24 维斯塔斯风力系统集团公司 风力涡轮机叶片积冰检测器
CN104454386A (zh) * 2014-11-24 2015-03-25 北京金风科创风电设备有限公司 风力发电机组结冰控制方法和装置
CN105089929A (zh) * 2014-05-21 2015-11-25 南车株洲电力机车研究所有限公司 风力发电机组叶片结冰检测系统及其方法

Family Cites Families (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6890152B1 (en) * 2003-10-03 2005-05-10 General Electric Company Deicing device for wind turbine blades
US7086834B2 (en) * 2004-06-10 2006-08-08 General Electric Company Methods and apparatus for rotor blade ice detection
US8050887B2 (en) * 2008-12-22 2011-11-01 General Electric Company Method and system for determining a potential for icing on a wind turbine blade
SE535025C2 (sv) * 2009-06-08 2012-03-20 Ge Wind Energy Norway As Vindkraftverk och en metod för att driva ett vindkraftverk
CA2793281C (en) 2010-03-23 2015-02-17 Vestas Wind Systems A/S A method for de-icing the blades of a wind turbine and a wind turbine with a de-icing system
JP5689168B2 (ja) 2010-04-19 2015-03-25 ヴォッベン プロパティーズ ゲーエムベーハーＷｏｂｂｅｎ Ｐｒｏｐｅｒｔｉｅｓ Ｇｍｂｈ 風力発電装置の運転方法
DE102011077129A1 (de) 2011-06-07 2012-12-13 Aloys Wobben Verfahren zum Betreiben einer Windenergieanlage
US8292579B2 (en) * 2011-11-03 2012-10-23 General Electric Company Method and system for deicing wind turbine rotor blades with induced torque
DK2647838T3 (en) * 2012-04-04 2015-01-19 Siemens Ag Method of operating a wind turbine with a rotor hub supporting at least one rotor blade
EP2679809A1 (en) * 2012-06-28 2014-01-01 Siemens Aktiengesellschaft Method and arrangement for responding to a grid event, such as fast frequency drop, by combining demand response, inertial response and spinning reserve
CN102817780B (zh) * 2012-08-22 2015-06-10 南京风电科技有限公司 风力发电机组结冰控制装置及控制方法
DK2985454T3 (en) 2014-07-23 2017-05-22 Nordex Energy Gmbh PROCEDURE TO TEST A ROTOR LEAF DETECTION SYSTEM AS WELL AS A ROTOR LEAF DETECTION SYSTEM AND WIND TURBINE FOR IMPLEMENTING THE PROCEDURE
CN104832371B (zh) * 2015-05-28 2017-10-24 大唐山东烟台电力开发有限公司 一种风力发电机组控制方法和系统
ES2895709T3 (es) * 2015-11-06 2022-02-22 Nordex Energy Spain S A Aerogenerador y método de eliminación de hielo en aerogeneradores
CN105508152B (zh) * 2015-12-31 2018-10-23 北京金风科创风电设备有限公司 叶片结冰模型的构建方法、结冰状态的监测方法和装置

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120226485A1 (en) * 2011-03-03 2012-09-06 Inventus Holdings, Llc Methods for predicting the formation of wind turbine blade ice
CN202280571U (zh) * 2011-10-13 2012-06-20 国电联合动力技术有限公司 风力发电机组冰载运行优化控制系统
CN104066983A (zh) * 2011-12-22 2014-09-24 维斯塔斯风力系统集团公司 风力涡轮机叶片积冰检测器
CN103603769A (zh) * 2013-11-23 2014-02-26 大连尚能科技发展有限公司 一种变桨矩风力发电机组的风机叶片结冰自检测方法
CN105089929A (zh) * 2014-05-21 2015-11-25 南车株洲电力机车研究所有限公司 风力发电机组叶片结冰检测系统及其方法
CN104454386A (zh) * 2014-11-24 2015-03-25 北京金风科创风电设备有限公司 风力发电机组结冰控制方法和装置

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110273818A (zh) * 2019-06-10 2019-09-24 浙江大学 一种基于轴变换粗细度分类的风机叶片结冰故障监测方法
CN112283025A (zh) * 2020-10-14 2021-01-29 明阳智慧能源集团股份公司 一种避免风电机组限功率运行在共振区域的控制方法
CN112283025B (zh) * 2020-10-14 2021-10-12 明阳智慧能源集团股份公司 一种避免风电机组限功率运行在共振区域的控制方法
CN116313196A (zh) * 2023-01-12 2023-06-23 华能海南昌江核电有限公司 设备状态的监测方法以及装置、存储介质、电子设备

Also Published As

Publication number Publication date
US20190003461A1 (en) 2019-01-03
ES2865438T3 (es) 2021-10-15
EP3460237A1 (en) 2019-03-27
AU2017294578B2 (en) 2019-05-30
KR20180075432A (ko) 2018-07-04
EP3460237B1 (en) 2021-02-17
US10767634B2 (en) 2020-09-08
CN108119319A (zh) 2018-06-05
KR102011589B1 (ko) 2019-08-16
CN108119319B (zh) 2020-02-11
EP3460237A4 (en) 2019-07-24
AU2017294578A1 (en) 2018-06-14

Similar Documents

Publication Publication Date Title
WO2018099083A1 (zh) 风力发电机组叶片结冰状态识别方法及装置
WO2022048228A1 (zh) 风电机组的载荷控制方法和装置
WO2019127975A1 (zh) 在极端湍流风况下控制风力发电机组变桨的方法和装置
AU2020399503B2 (en) Method and apparatus for detecting yaw-to-wind abnormality, and device and storage medium thereof
EP2956663B1 (en) Detecting blade structure abnormalities
EP3608536B1 (en) Feedforward control method and device for wind turbine set in wind farm
EP3581792A1 (en) Method of checking a wind turbine in a wind farm for a yaw misalignment, method of monitoring a wind turbine in a wind farm and monitoring apparatus
CN105041570A (zh) 风电机组偏航控制方法和装置
US10724499B2 (en) Controlling wind turbines according to reliability estimates
CN110761958B (zh) 风力发电机组的叶片失速诊断方法及装置
CN103857905A (zh) 操作风力涡轮机的方法以及与之相应的风力涡轮机
CN113027695B (zh) 风力发电机组的桨距角异常的检测方法及装置
CN108204342B (zh) 风力发电机的叶片结冰识别方法和装置
CN112746929A (zh) 叶片失速监控方法、装置、设备及存储介质
EP3737857B1 (en) A method for controlling a wind energy farm taking wake effects into account
CN108612624B (zh) 一种风力发电机的转速控制方法和装置
CN114692481A (zh) 扫塔风险预警方法、装置、系统、设备及介质
CN106762449B (zh) 一种叶片的真实载荷检测方法、系统和风电机组
CN109944749B (zh) 极端湍流的识别方法、装置、设备及计算机可读存储介质
CN114739305B (zh) 叶片扭转变形的确定方法、装置、系统、控制器及介质
CN114076065A (zh) 识别风力发电机组的叶片失速的方法及设备
CN116066292A (zh) 风力发电机组及其收桨控制方法、装置及计算设备
EP3667069A1 (en) Method and controller for full-power control of a wind turbine
CN117189473A (zh) 风力发电机组的控制方法及相关装置
CN117514665A (zh) 一种风电机组叶片防结冰方法及系统

Legal Events

Date Code Title Description
ENP Entry into the national phase

Ref document number: 20177033041

Country of ref document: KR

Kind code of ref document: A

ENP Entry into the national phase

Ref document number: 2017294578

Country of ref document: AU

Date of ref document: 20170706

Kind code of ref document: A

121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17818415

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE