CN112963303A - Yaw load monitoring control method and system for wind turbine generator - Google Patents
Yaw load monitoring control method and system for wind turbine generator Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 38
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- 238000010248 power generation Methods 0.000 claims description 11
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- 238000012938 design process Methods 0.000 claims description 3
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- 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
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- 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
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- 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
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Abstract
The invention discloses a yaw load monitoring control method and a yaw load monitoring control system for a wind turbine generator, wherein the method comprises the following steps: acquiring a holographic information cluster of a yaw system in real time; acquiring running state information and environmental state information of the wind turbine generator in real time; calculating to obtain a load information cluster of the yaw system according to the holographic information cluster of the yaw system in real time; after the load information cluster of the yaw system is compensated in the frequency domain range, the load boundary of the yaw system is tracked and optimized in real time by combining the state information of the wind turbine generator set, and an intelligent load reduction control strategy is implemented on the yaw system on the premise of ensuring the generating capacity of the wind turbine generator set. The fan assembly control system tracks and optimizes the load boundary of the yaw system in real time, avoids overload operation of yaw mechanical parts, greatly reduces loss of hardware parts such as a yaw speed reducer, a yaw large gear ring and a yaw system brake, reduces a series of problems such as soft faults of the yaw system, and ensures reliability, high availability and generated energy of the unit.
Description
Technical Field
The invention relates to the technical field of wind power generation, in particular to a yaw load monitoring and controlling system for a wind turbine generator.
Background
With the steady and rapid development of the domestic wind power generation technology, the gradual deepening of the wind resource development and the requirements for energy conservation and environmental protection in the wind resource development, the larger the unit capacity is, the more urgent the market demand for large-blade large-capacity wind turbine units is, the more and more serious the wind shearing and tower shadow effect influence the load of a yaw system, the current large-power wind turbine units mostly adopt a topological structure of directly starting multiple yaw motors, the real-time monitoring and calculation of yaw load and the intelligent yaw load reduction control are adopted, and the wind turbine units become one of the main problems which need to be solved urgently and can generate electricity efficiently and reliably.
The design of traditional driftage system, generally adopt power frequency direct start or soft start mode, drive the cabin through controlling yaw motor and rotate, reach the purpose that wind turbine generator system driftage to the wind, nevertheless can not monitor calculation to yaw system's real-time payload in whole driftage process, can not effectively monitor the heavy load and take intelligent load reduction strategy, after leading to wind turbine generator system to operate a plurality of years, yaw motor, driftage speed reducer, big ring gear frequently appears damaging, the driftage trouble of unit frequently takes place, unit availability greatly reduced, the whole life cycle operation cost of unit increases, the generated energy and the enterprise operation benefit of unit have been influenced.
Disclosure of Invention
The invention aims to provide a yaw load monitoring and controlling method and system for a wind turbine generator, wherein a yaw load monitoring and calculating device can monitor the rotating speed information, current information and voltage information of a yaw system and the state information of the yaw system of the wind turbine generator in real time; the information clusters are calculated in real time through an internal algorithm of the yaw load monitoring and calculating device, the current real-time load information clusters of the yaw system are output, the load information clusters are received by the unit control system in real time, the running boundary of the yaw load is monitored, and intelligent load reduction is carried out.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a yaw load monitoring and controlling method for a wind turbine generator comprises the following steps:
acquiring a holographic information cluster of a yaw system in real time;
acquiring running state information and environmental state information of the wind turbine generator in real time;
calculating to obtain a load information cluster of the yawing system in real time according to the holographic information cluster of the yawing system;
and after compensating the load information cluster of the yawing system in a frequency domain range, tracking and optimizing the load boundary of the yawing system in real time by combining the unit state information of the wind turbine generator, and implementing an intelligent load reduction control strategy on the yawing system on the premise of ensuring the generating capacity of the unit.
Optionally, the holographic information cluster of the yaw system includes rotation speed information, current information, voltage information, position information, yaw state information, and a yaw system friction coefficient.
Optionally, the obtaining of the load information cluster of the yawing system by calculating according to the holographic information cluster of the yawing system specifically includes:
and establishing a yaw system state space load mapping model based on hardware parameters of the yaw system, wherein after the yaw system state space load mapping model receives the holographic information cluster of the yaw system in real time, the load information cluster of the yaw system is obtained by real-time calculation according to the holographic information cluster of the yaw system.
Optionally, the hardware parameter includes real-time information of environmental status information, current of yaw drive, torque, voltage, yaw holding pressure value, and yaw brake pressure value.
Optionally, the load boundary of the yaw system is defined according to the fatigue load and the limit load of the specific unit in the design process of the wind turbine generator, the intelligent yaw load reduction system compares and monitors the received yaw load information cluster with the fatigue load information and the limit load information of the specific unit in real time, and if the load of the current yaw system exceeds the load boundary, an intelligent yaw load reduction control strategy is implemented on the yaw system on the premise of ensuring the generating capacity of the unit.
Optionally, the yaw intelligent load shedding system needs to consider the generated energy of the units, the generated energy of the units is generally measured according to annual full equivalent hours, the high-power wind turbine generator is generally 2600-4000 hours per year according to a wind area, the intelligent load shedding control strategy can cumulatively calculate the rated annual generated hours under the current control mode, and the intelligent load shedding control strategy is implemented according to the principle that the lowest rated annual full equivalent hours of the wind turbine generator is not lower than the requirement of a specific site.
Optionally, the unit state information of the fan unit includes operation state information and environment state information.
In another aspect, the present invention further provides a yaw load monitoring and controlling system using the above method, the system comprising:
the yaw load monitoring and calculating device is used for acquiring the holographic information cluster of the yaw system in real time and calculating to obtain the yaw load information cluster of the yaw system according to the holographic information cluster;
and the fan assembly control system tracks and optimizes the load boundary of the yawing system in real time after receiving the yawing load information cluster and compensating in a frequency domain range by combining the running state information and the environment state information of the wind turbine generator, and implements an intelligent load reduction control strategy on the yawing system on the premise of ensuring the generating capacity of the wind turbine generator.
Optionally, the yaw load monitoring and calculating device comprises:
the intelligent sensor monitoring system is used for acquiring a holographic information cluster of the yaw system in real time;
and the yaw load algorithm system is used for calculating the yaw load information cluster of the yaw system according to the holographic information cluster.
Optionally, the fan assembly control system comprises a yaw intelligent load shedding system, the yaw intelligent load shedding system is used as a part of the wind turbine generator control system, the yaw intelligent load shedding system can combine the load information cluster of the yaw system with the unit state information, a yaw intelligent load shedding control strategy is implemented according to the yaw load operation boundary conditions through the intelligent load shedding control strategy, and the unit operation state is optimal on the premise of ensuring the generated energy.
Compared with the prior art, the invention has at least one of the following advantages:
the yaw load monitoring and calculating device can monitor a yaw system state system in real time, calculate yaw load working conditions in real time and transmit the yaw load working conditions to the fan assembly control system, the fan assembly control system tracks and optimizes a yaw system load boundary in real time, the overload operation of yaw mechanical parts is avoided, the loss of hardware parts such as a yaw speed reducer, a yaw large gear ring and a yaw system brake is greatly reduced, a series of problems such as soft faults of a yaw system are reduced, and the reliability, high availability and generated energy of a unit are guaranteed.
Drawings
FIG. 1 is a block flow diagram of a yaw load monitoring control method for a wind turbine generator set according to the present invention;
FIG. 2 is a block diagram of a yaw load monitoring and controlling system for a wind turbine generator according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings 1-2 and the detailed description thereof. The advantages and features of the present invention will become more apparent from the following description. It is to be noted that the drawings are in a very simplified form and are all used in a non-precise scale for the purpose of facilitating and distinctly aiding in the description of the embodiments of the present invention. To make the objects, features and advantages of the present invention comprehensible, reference is made to the accompanying drawings. It should be understood that the structures, ratios, sizes, and the like shown in the drawings and described in the specification are only used for matching with the disclosure of the specification, so as to be understood and read by those skilled in the art, and are not used to limit the implementation conditions of the present invention, so that the present invention has no technical significance, and any structural modification, ratio relationship change or size adjustment should still fall within the scope of the present invention without affecting the efficacy and the achievable purpose of the present invention.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprise," "include," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, yaw load monitoring control system for a wind turbine, article, or field device that comprises a list of elements includes not only those elements, but also other elements not expressly listed or inherent to such a process, yaw load monitoring control system for a wind turbine, article, or field device. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of additional like elements in a process, yaw load monitoring control system for a wind turbine, article, or field device that includes the element.
Referring to fig. 1, the yaw load monitoring and controlling method for a wind turbine generator according to the present embodiment includes:
acquiring a holographic information cluster of a yaw system in real time;
acquiring running state information and environmental state information of the wind turbine generator in real time;
according to a load process algorithm in the process movement of a yaw executing mechanism and simultaneously in combination with environmental state information, a yaw system state space load mapping digital model is established, and a load information cluster of a yaw system is obtained through real-time calculation according to the environmental state information (temperature, humidity, atmospheric pressure and the like of the environmental state information) and a holographic information cluster of the yaw system (the yaw system comprises a yaw motor, a yaw drive, yaw hydraulic pressure and the like);
after compensation correction is carried out on the load information cluster of the yawing system in a frequency domain range (information of discrete time domain samples is mapped into the frequency domain through Fourier transform (FFT), parameters such as open loop gain of a correction link and the like are determined), the state information of the wind turbine generator is combined, the design fatigue load and the limit load boundary of a specific generator in a specific site are compared and calculated in real time, the load boundary of the yawing system is tracked and optimized in real time, and an intelligent load reduction control strategy is implemented on the yawing system on the premise of ensuring the generating capacity of the generator.
In this embodiment, a load boundary of the yaw system is defined according to a fatigue load and a limit load of a specific unit in a design process of a wind turbine generator, the intelligent yaw load reduction system compares and monitors a received yaw load information cluster with fatigue load information and limit load information of the specific unit in real time, and if the load of the current yaw system exceeds the load boundary, an intelligent yaw load reduction control strategy is implemented on the yaw system on the premise of ensuring the generating capacity of the unit.
In this embodiment, the holographic information cluster of the yaw system includes information such as rotational speed information, current information, voltage information, position information, and yaw state.
In this embodiment, the obtaining of the load information cluster of the yaw system by calculating the holographic information cluster of the yaw system specifically includes:
the method comprises the steps that a yaw system state space load mapping digital model is based on a parameterized self-tuning model system, and a yaw system state space load mapping model is established based on hardware parameters of a yaw system, wherein after the yaw system state space load mapping model receives a holographic information cluster of the yaw system in real time, the load information cluster of the yaw system is obtained through calculation according to the holographic information cluster of the yaw system in real time. The yaw system state space load mapping model is a model system based on parameterization self-setting, system optimization and setting can be carried out according to changes of yaw system hardware parameters, and accuracy of model and yaw load information cluster output is guaranteed in real time.
In this embodiment, the hardware parameters include environment state information, current of yaw driving, torque, voltage, yaw holding pressure value, and real-time information of yaw brake pressure value.
In this embodiment, the power generation amount of the unit needs to be considered in the intelligent yaw load shedding system, the power generation amount of the unit is generally measured according to annual full equivalent hours, the high-power wind turbine unit is generally 2600-4000 hours/year according to a wind area, the intelligent load shedding control strategy can accumulatively calculate the rated annual power generation hours under the current control mode, and the intelligent load shedding control strategy is implemented according to the principle that the lowest rated annual full equivalent hours of the wind turbine unit is not lower than the requirement of a specific site.
In this embodiment, the unit state information of the fan unit includes running state information and environment state information.
Referring to fig. 2, based on the same inventive concept, the present embodiment further provides a yaw load monitoring and controlling system 1 applying the above method, where the system 1 includes:
the yawing load monitoring and calculating device 2 is used for acquiring a holographic information cluster of a yawing system in real time and calculating to obtain a yawing load information cluster of the yawing system according to the holographic information cluster;
the wind turbine component control system tracks and optimizes the load boundary of the yawing system in real time by combining the running state information and the environment state information of the wind turbine generator after receiving the yawing load information cluster and compensating in a frequency domain range, and implements an intelligent load reduction control strategy on the yawing system on the premise of ensuring the generating capacity of the wind turbine generator;
the yaw load monitoring and calculating device 2 and the wind turbine generator control system are in data link through a communication system 5, and yaw load information clusters output by the yaw load monitoring and calculating device 2 are transmitted to the fan assembly control system in real time.
In this embodiment, the yaw load monitoring and calculating device includes:
the intelligent sensor monitoring system 4 is used for acquiring a holographic information cluster of the yaw system in real time;
and the yaw load algorithm system 3 is used for calculating the yaw load information cluster of the yaw system according to the holographic information cluster.
In this embodiment, the fan assembly control system includes an intelligent yaw load shedding system 6, the intelligent yaw load shedding system 6 is used as a part of a high-level load algorithm of the wind turbine generator control system, the intelligent yaw load shedding system 6 can combine load information clusters of the yaw system with unit state information, and implement an intelligent yaw load shedding control strategy according to a yaw load operation boundary condition through an intelligent yaw load shedding control strategy, so that the unit operation state is optimal on the premise of ensuring the power generation amount.
While the present invention has been described in detail with reference to the preferred embodiments, it should be understood that the above description should not be taken as limiting the invention. Various modifications and alterations to this invention will become apparent to those skilled in the art upon reading the foregoing description. Accordingly, the scope of the invention should be determined from the following claims.
Claims (10)
1. A yaw load monitoring and controlling method for a wind turbine generator is characterized by comprising the following steps:
acquiring a holographic information cluster of a yaw system in real time;
acquiring unit state information of the wind turbine generator in real time;
calculating to obtain a load information cluster of the yawing system in real time according to the holographic information cluster of the yawing system;
and after compensating the load information cluster of the yawing system in a frequency domain range, tracking and optimizing the load boundary of the yawing system in real time by combining the unit state information of the wind turbine generator, and implementing an intelligent load reduction control strategy on the yawing system on the premise of ensuring the generating capacity of the unit.
2. The yaw load monitoring and control method for the wind turbine generator according to claim 1, wherein the holographic information cluster of the yaw system comprises rotation speed information, current information, voltage information, position information, yaw state information and yaw system friction coefficient.
3. The method as claimed in claim 1, wherein the calculating the load information cluster of the yaw system according to the holographic information cluster of the yaw system specifically comprises:
and establishing a yaw system state space load mapping model based on hardware parameters of the yaw system, wherein after the yaw system state space load mapping model receives the holographic information cluster of the yaw system in real time, the load information cluster of the yaw system is obtained by real-time calculation according to the holographic information cluster of the yaw system.
4. The method as claimed in claim 3, wherein the hardware parameters include environmental status information, yaw driving current, torque, voltage, yaw holding pressure value, and yaw brake pressure value.
5. The yaw load monitoring and control method for the wind turbine generator according to claim 1, wherein a yaw system load boundary is defined according to a fatigue load and a limit load of a specific unit in a wind turbine generator design process, the intelligent yaw load reduction system compares and monitors a received yaw load information cluster with fatigue load information and limit load information of the specific unit in real time, and if the current yaw system load exceeds the load boundary, an intelligent yaw load reduction control strategy is implemented on the yaw system on the premise of guaranteeing the power generation amount of the unit.
6. The yaw load monitoring and control method for the wind turbine generator according to claim 1, wherein the yaw intelligent load shedding system needs to consider the power generation of the wind turbine generator, the power generation of the wind turbine generator is generally measured according to annual full equivalent hours, the high-power wind turbine generator is generally 2600-4000 hours per year according to a wind area, the intelligent load shedding control strategy can cumulatively calculate the rated annual power generation hours under the current control mode, and the intelligent load shedding control strategy is implemented according to the lowest wind turbine generator rated annual full equivalent hours principle not lower than the specific site requirement.
7. The method for monitoring and controlling the yaw load of the wind turbine generator according to claim 1, wherein the generator state information of the wind turbine generator includes operation state information and environmental state information.
8. A yaw load monitoring control system applying the method of any one of claims 1 to 7, the system comprising:
the yaw load monitoring and calculating device is used for acquiring the holographic information cluster of the yaw system in real time and calculating to obtain the yaw load information cluster of the yaw system according to the holographic information cluster;
and the fan assembly control system tracks and optimizes the load boundary of the yawing system in real time after receiving the yawing load information cluster and compensating in a frequency domain range by combining the running state information and the environment state information of the wind turbine generator, and implements an intelligent load reduction control strategy on the yawing system on the premise of ensuring the generating capacity of the wind turbine generator.
9. The yaw load monitoring control system for a wind turbine generator as set forth in claim 8, wherein said yaw load monitoring and calculating means includes:
the intelligent sensor monitoring system is used for acquiring a holographic information cluster of the yaw system in real time;
and the yaw load algorithm system is used for calculating the yaw load information cluster of the yaw system according to the holographic information cluster.
10. The yaw load monitoring and control system for the wind turbine generator according to claim 8, wherein the wind turbine component control system comprises a yaw intelligent load shedding system, the yaw intelligent load shedding system can combine load information clusters of the yaw system with unit state information, and implement a yaw intelligent load shedding control strategy according to yaw load operation boundary conditions through an intelligent load shedding control strategy, so that the unit operation state is optimal on the premise of ensuring the power generation amount.
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