CN116658364A - Wind turbine generator system extreme gust identification system and extreme gust inhibition overspeed control system - Google Patents

Wind turbine generator system extreme gust identification system and extreme gust inhibition overspeed control system Download PDF

Info

Publication number
CN116658364A
CN116658364A CN202310852553.9A CN202310852553A CN116658364A CN 116658364 A CN116658364 A CN 116658364A CN 202310852553 A CN202310852553 A CN 202310852553A CN 116658364 A CN116658364 A CN 116658364A
Authority
CN
China
Prior art keywords
generator
wind turbine
torque
pitch
fuzzy
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
CN202310852553.9A
Other languages
Chinese (zh)
Inventor
蔡昭兵
罗战
刘瑞博
乐绪鑫
王浩然
周立博
张庆
何学民
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Three Gorges Zhikong Technology Co ltd
Three Gorges Technology Co ltd
Original Assignee
Three Gorges Zhikong Technology Co ltd
Three Gorges Technology Co ltd
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 Three Gorges Zhikong Technology Co ltd, Three Gorges Technology Co ltd filed Critical Three Gorges Zhikong Technology Co ltd
Priority to CN202310852553.9A priority Critical patent/CN116658364A/en
Publication of CN116658364A publication Critical patent/CN116658364A/en
Pending legal-status Critical Current

Links

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
    • 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
    • F03D7/022—Adjusting aerodynamic properties of the blades
    • F03D7/0224—Adjusting blade pitch
    • 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
    • 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
    • F03D7/0276—Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor controlling rotor speed, e.g. variable speed
    • 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
    • F03D7/043—Automatic control; Regulation by means of an electrical or electronic controller characterised by the type of control logic
    • F03D7/046—Automatic control; Regulation by means of an electrical or electronic controller characterised by the type of control logic with learning or adaptive control, e.g. self-tuning, fuzzy logic or neural network
    • 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

Abstract

The invention discloses an extreme gust identification system and an extreme gust inhibition overspeed control system of a wind turbine generator, which are used for solving the problem of overspeed of the generator of the wind turbine generator under the extreme gust by combining a variable pitch control algorithm based on a fuzzy control principle and torque control. According to the invention, the increase of the rotational speed of the wind turbine is restrained, the increase of the pneumatic torque born by the wind wheel due to the rapid increase of the wind speed is restrained by the pitching action from the source, the increase of the pneumatic torque can be counteracted by the increase of the electromagnetic torque, the increase of the rotational speed is restrained, and the hysteresis of torque control versus pitch control is almost not existed. The traditional torque control is saturated in control above the rated wind speed, the output torque is constant, and the function of inhibiting the increase of the rotating speed cannot be achieved, so that the torque is superimposed to assist the fuzzy pitch control on the basis of the original torque control according to the increase of the rotating speed, the limit rapid pitch action can be reduced under the condition that the wind turbine generator is ensured not to overspeed, and the influence of extreme gusts on the wind turbine generator can be effectively reduced.

Description

Wind turbine generator system extreme gust identification system and extreme gust inhibition overspeed control system
Technical Field
The invention belongs to the technical field of wind power industry, and particularly relates to a wind turbine generator set extreme gust identification system and an extreme gust inhibition overspeed control system.
Background
The variable speed variable pitch wind turbine is characterized in that the generator torque is generally set according to the square of the rotating speed below the rated rotating speed, the variable speed operation tracks the optimal Cp curve, the rotating speed of the generator reaches the rated rotating speed, the wind turbine is kept in constant speed operation, the given generator torque is increased along with the increase of the wind speed, and the power output is increased until reaching a rated point. Because the pitch angle is increased, the aerodynamic moment of the wind turbine generator is reduced, and in a higher wind speed interval, a smaller pitch angle change can cause larger aerodynamic torque variation, so as to avoid the wind turbine generator from generating great fluctuation of power to cause resonance of the wind turbine generator under the aim that the torque control ring and the pitch control ring jointly control a constant rotating speed near a rated point. Most variable-speed variable-pitch wind turbines adopt a mode that a fan runs with constant torque before the rated rotation speed, and after the rotation speed of the wind turbines reaches the rated rotation speed, a variable-pitch control ring of the wind turbines starts to act, and the pitch angle is adjusted to limit the power. But this control mode loses power generation.
In the prior art, the pitch control ring is disabled before the wind speed reaches the rated wind speed, only the torque is regulated, the torque control ring runs with constant torque after the wind speed reaches above the rated wind speed, the pitch angle is regulated by the pitch control ring, and the pitch angle is regulated in advance before the torque reaches a constant value or is regulated downwards from the constant value by detecting the rotational speed and the acceleration when gust occurs.
In some mountain wind farms or in extreme convection, when thunderstorm weather occurs, wind turbines can suffer from gusts or even extreme gusts, when the gusts pass through the wind turbines, the problem of overspeed of the wind turbines occurs frequently because of nonlinearity of variable pitch on wind speed and hysteresis of response, and extreme loads are extremely easy to generate when overspeed shutdown, particularly when extreme gusts occur, each time of extreme gusts, the wind turbines are subjected to one-time risk test. And under the trend that the wind turbine generator system is towards large capacity and large impellers, the frequency of the wind turbine generator system for coping with the problem of overspeed caused by extreme gusts is higher due to the fact that the inertia of the wind wheel is larger.
In the prior art, the external hardware equipment of the wind-measuring laser radar is utilized to identify the extreme wind gust in advance for feedforward control, the wind-measuring laser radar is required to be additionally installed, the reliability of the wind-measuring laser radar is greatly reduced under the condition of heavy fog or rain and snow, and meanwhile, due to the consideration of cost, the newly-added external detection equipment is difficult to apply in batches.
Considering that the traditional torque control is saturated when the rated wind speed is higher, the output torque is constant and the function of inhibiting the rising of the rotating speed cannot be achieved, the variable pitch response of the wind turbine is accelerated by dynamically looking up a table according to the difference value between the rotating speed of the generator and the rotating speed reference value in a variable pitch PID control loop of the variable pitch pair wind speed; however, as the active power of the wind turbine generator is equal to the torque multiplied by the rotating speed, when gusts occur and the wind speed is higher than the rated wind speed and continuously rises, the output power exceeds the rated power due to the delay of the change of the pitch angle, and at the moment, the pitch angle is adjusted only through the rotating speed control, so that the system response is too slow. The peak load of the blade and the tower is caused, and serious damage is brought to the safety of the unit.
In the prior art, fuzzy control is also introduced as a nonlinear control method to dynamically adjust PID parameters in pitch control or to superimpose pitch rate according to generator speed overspeed value. Part of pitch lag can be offset to a certain extent; for extreme gusts, the wind speed rises severely, in order to restrain the rapid rise of the rotating speed, the superimposed pitch angle is large in a fuzzy control short time, so that the rise of the rotating speed can be restrained well, but the output variable pitch rate is overlarge, the thrust change of the wind wheel surface of the wind turbine is large, the wind turbine is triggered to vibrate and stop, and the normal operation of the wind turbine is affected.
Disclosure of Invention
Under the condition of not depending on additional installation of wind-measuring laser radar, the invention provides a wind turbine generator system response to extreme gusts and overspeed control system, and solves the problem of overspeed of the wind turbine generator under the extreme gusts by combining a variable pitch control algorithm based on a fuzzy control principle with torque control.
Wind turbine generator system extreme gust identification system, its characterized in that includes:
the sensor module is used for collecting the generator rotating speed w of the wind turbine generator;
when the change rate of the rotating speed of the generator is larger than zero and the speed exceeding ratio of the rotating speed of the generator is larger than 5, the wind turbine is judged to be in an extreme gust working condition, wherein the speed exceeding ratio of the rotating speed of the generator is that；
The change rate of the rotation speed of the generator is，/>And->The generator speeds are respectively spaced one sample time in front of and behind.
Further, the generator rotating speed change rate is subjected to first-order low-pass filtering treatment, and the filtering time constant is 50.
An ultra-speed control system for restraining wind gusts at the extreme ends of a wind turbine comprises a wind gust identification system of the wind turbine, a torque PID controller and a variable pitch PID controller,
the sensor module is used for collecting the generator rotating speed w, the actual active power P and the actual pitch angle value of the wind turbine generator;
the torque PID controller and the variable pitch PID controller are respectively used for respectively controlling the generator rotating speed and the rated generator rotating speed w of the wind turbine generator set rate Output a given torque T 0 And a given pitch rate beta 0 ；
After judging that the wind gust is extreme, the fan master control is carried out in T 0 Adding the superposition torque output by the superposition torque controller as output, and regulating the generator torque for the variable-current actuating mechanism to ensure that the pitch-variable mechanism changes the pitch rate V according to the superposition pitch rate output by the fuzzy pitch-variable controller within the pitch angle sampling interval time delta t P And beta 0 Adding a pitch angle on the actual value of the pitch angle, and changing the pitch angle of the wind turbine generator;
the superimposed torque is set as follows:
if the wind turbine generator adopts constant power control or if the wind turbine generator does not adopt constant power control and the super-power is not greater than zero, the superimposed torque is the rated torque T rate Difference deltat from actual torque T 0 ；
If the wind turbine generator set does not adopt constant power control and the super-power is greater than zero, the superimposed torque isWherein w is the actual rotation speed of the generator, and w rate Is the rated rotation speed of the generator, w max Is the overspeed protection value of the rotating speed of the generator, P is the actual active power, P max P is the active power overrun protection value rate Is rated as active power.
Further, the fuzzy pitch controller outputs a pitch rate V according to the following steps P；
Step 41, input quantity blurring: blurring the actual values of the rotating speed change rate and the pitch angle of the input generator through the selection of quantization factors, and converting the actual values into a fuzzy set;
step 42, fuzzy reasoning: according toPerforming fuzzy reasoning on the fuzzy set obtained in the step 41 by the set fuzzy rule to obtain an output quantity, namely the superposition pitch rate V p Is a fuzzy set of (a);
step 43, deblurring: superimposed pitch rate V for step 42 output p Deblurring is carried out on the fuzzy set of the (2) to obtain the final required superimposed pitch rate V p The method comprises the steps of carrying out a first treatment on the surface of the Wherein, the superposition pitch rate V output in the step 42 is controlled by adopting a gravity center method p Deblurring the fuzzy set of (2), and obtaining the final superposition variable pitch rate V through selection of the scale factors p 。
The invention has the beneficial technical effects that:
under the trend of reducing the cost of the whole wind turbine, the influence of extreme gusts on the limit load must be considered in the design stage of the whole wind turbine, the invention can realize the purpose of reducing the load by optimizing the control algorithm under the condition that no additional detection equipment is required, can promote the wind turbine to further reduce the cost, solves the limit load overrun caused by overspeed of the wind turbine due to the extreme gusts, and is beneficial to the technical cost reduction of the wind turbine. The control method for the wind turbine generator system comprises the steps of restraining the rotation speed of the wind turbine generator system from the source, restraining the increase of the pneumatic torque born by the wind wheel due to the rapid increase of the wind speed through the pitching action, counteracting the increase of the pneumatic torque through the increase of the electromagnetic torque, restraining the rotation speed, and almost having no hysteresis in torque control versus pitch control. The traditional torque control is saturated in control above the rated wind speed, the output torque is constant, and the function of inhibiting the increase of the rotating speed cannot be achieved, so that the torque is superimposed to assist the fuzzy pitch control on the basis of the original torque control according to the increase of the rotating speed, the limit rapid pitch action can be reduced under the condition that the wind turbine generator is ensured not to overspeed, and the influence of extreme gusts on the wind turbine generator can be effectively reduced.
Drawings
FIG. 1 is a control flow diagram of a wind turbine to handle extreme gusts;
FIG. 2 is a basic composition of the fuzzy control system;
FIG. 3 superimposes torque control logic;
fig. 4 is an engine speed rise curve.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. In addition, the technical features of the embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
Interpretation of the terms
Membership, which is the degree to which a certain defined amount is attached to a certain fuzzy linguistic variable, is described.
Membership functions, in order to achieve fuzzification, are established between the discretized exact quantity and the fuzzy quantity representing the fuzzy language, i.e. the membership degree of each element in the theoretical domain to the respective fuzzy language variable is determined, and the membership functions are used to solve the membership degree.
Fuzzy sets are a collection of all elements of the domain U, which refers to the totality of the study objects.
Example 1
A fuzzy pitch control system of a wind turbine to cope with extreme gusts comprises: the wind turbine generator system comprises a wind turbine generator system extreme gust identification system, a torque PID controller, a variable-pitch PID controller, a variable-current execution mechanism, a variable-pitch mechanism, a fuzzy variable-pitch controller and a superposition torque controller;
the wind turbine generator system extreme gust identification system comprises:
the sensor module is used for collecting the generator rotating speed w, the actual active power P and the pitch angle actual value of the wind turbine, and the sampling interval time is deltat;
the torque PID controller and the variable pitch PID controller respectively calculate the generator rotating speed and the generator rated rotating speed w of the wind turbine generator set rate The difference value of (a) is the rotation speed deviation, and then a given torque T is obtained through a torque PID controller and a pitch PID controller 0 And a given pitch rate beta 0 ;
The fan master control calculates the generator speed change rate and the generator speed overdrive ratio, if the generator speed change rateThe speed ratio of the generator is larger than 0 and is larger than 5, the occurrence of wind gust is judged, the fuzzy pitch control enabling condition is achieved, and the speed ratio of the generator is；
The change rate of the rotation speed of the generator is，/>And->The generator speeds are respectively spaced one sample time in front of and behind. The generator rotation speed change rate is subjected to first-order low-pass filtering treatment, and the filtering time constant is 50.
After judging the extreme gust working condition, the superposition torque controller outputs superposition torque and is matched with T 0 And the superimposed signals are used as output to a variable-current actuating mechanism to adjust the torque of the generator. The superimposed torque is set as follows:
if the wind turbine generator adopts constant power control or if the wind turbine generator does not adopt constant power control and the super-power is not greater than zero, the superimposed torque is the rated torque T rate Difference deltat from actual torque T 0 ；
If the wind turbine generator does not adopt constant power control and the super-power DeltaP is greater than zero, the generator rotating speed change is shown in figure 4, and before the generator rotating speed reaches the maximum generator rotating speed, the initial given torque T0 output by the torque PID controller is superimposed with the torque linear difference T according to the duty ratio condition of the generator rotating speed exceeding the rated rotating speed and considering the super-power condition of the actual active power L The resultant superimposed torque is shown in FIG. 4 belowWherein w is the actual rotation speed of the generator, and w rate Is the rated rotation speed of the generator, w max Is the overspeed protection value of the rotating speed of the generator, P is the actual active power, P max P is the active power overrun protection value rate Is rated as active power. The superposition torque is controlled above the rated torque, the electromagnetic torque is increased to counteract the rising of the pneumatic torque, and under the condition that the active power does not exceed the maximum power limit value, the rotation speed overspeed of the generator can be effectively restrained by matching with the variable pitch control.
Wherein the super power DeltaP is the actual power P and the rated active power P max Is a difference in (c). In the prior art ZL201310602812.9, whether the wind turbine generator is in constant power control or not is introduced in a generator electromagnetic torque compensation control method of the wind turbine generator, the output of the full-power working condition judging module is used for judging, the output 0 of the full-power working condition judging module represents constant torque control, and the output 1 of the full-power working condition judging module represents constant power control.
The fuzzy pitch controller inputs the actual values of the rotating speed change rate and the pitch angle of the generator, and outputs the superimposed pitch rate V according to a fuzzy algorithm P The pitch-variable mechanism changes the pitch rate V according to the superposition output by the fuzzy pitch-variable controller within the pitch angle sampling interval time delta t P And beta 0 And (3) increasing the pitch angle on the actual value of the pitch angle, and changing the pitch angle of the wind turbine generator.
The fuzzy control algorithm is a nonlinear control method, is suitable for controlling nonlinear systems such as a wind power system, is simple in algorithm and quick to execute, has an internal parallel processing mechanism, and shows extremely strong robustness. The actual fuzzy control system is required to solve the problems of expert knowledge representation, control rules, fuzzy reasoning, clear calculation and the like. The control block diagram of the fuzzy logic is shown in fig. 2 below.
The fuzzy control algorithm comprises the following steps:
1) Determining input and output of the fuzzy pitch controller:
selecting the rotating speed change rate of the generator and the actual value of the pitch angle as fuzzy input observables; superimposed pitch rate V P To output the control amount.
2) Blurring the observed quantity and the control quantity:
the input observables and the output control amounts are divided into four fuzzy sets, { ZE, PS, PM, PL }.
Blurring the observed quantity into a fuzzy subset EC (pitch angle actual value) and E (generator rotating speed change rate) which are obtained { zero, small, medium and large }, and correspondingly recording the fuzzy subset EC (pitch angle actual value) and E (generator rotating speed change rate) as { ZE, PS, PM, PL }; wherein (generator speed rate of change) E is controlled within the range of [0.021rad/s,0.126rad/s ]; the (pitch angle actual value) EC is controlled in the range of [5deg,20deg ], the observed quantity is equally divided in the control range to obtain the generator rotating speed change rate domain {0.021,0.052,0.084,0.126}, and the superimposed pitch rate is expected to be smaller in consideration of the fact that the larger the pitch angle actual value is, the pitch angle actual value domain { 20, 15, 10, 5}.
Blurring the control quantity to obtain a blurred subset U (superimposed pitch rate V) P ) Corresponding to { ZE, PS, PM, PL }, taking into account the pitch rate V P Must be within a certain range, typically [ -5deg/s,7deg/s]Whereas a conventional pitch PID controller outputs a given pitch rate beta 0 The maximum energy reaches 5deg/s, so that the superimposed pitch rate V output by the fuzzy pitch controller P Controlled at [0,2.5deg/s]The method comprises the steps of carrying out a first treatment on the surface of the The pitch control is considered to have certain nonlinearity, so that the equally dividing of the range of the pitch is not considered, and the excessive superposition pitch rate V is avoided P Influence on control stability of wind turbine generator, thus setting control quantity superposition pitch rate V P The universe is {0,0.15,0.75,2.5}.
The membership function adopts a normal distribution model, and the formula is as follows:wherein->For the corresponding observed quantity theory, if the change rate of the rotation speed of the generator is {0.021,0.052,0.084,0.126}, sigma is the standard deviation, the standard deviation of the change rate of the rotation speed of the observed quantity generator is 3, and the standard deviation of the actual value of the observed quantity pitch angle is 5.xIs the input quantity.
The membership value of the fuzzy subset { ZE, PS, PM, PL } of the generator rotating speed change rate and the accurate quantity domain {0.021,0.052,0.084,0.126} is
CaseSpd [i]=Wherein x is the generator rotational speed rate of change; wherein i is 1,2,3,4.
The membership value of the fuzzy subset { ZE, PS, PM, PL } of the pitch angle actual value and the precise quantity argument { 20, 15, 10, 5} is
CasePitch[i]=Wherein x is the pitch actual position; wherein i is 1,2,3,4.
3) Making fuzzy rules and fuzzy reasoning:
and (3) formulating a fuzzy rule by adopting a state evaluation fuzzy control rule according to the observed quantity and the control characteristic of the control quantity.
For example, if the generator speed change rate is ZE (0.021 rad/s) and the actual pitch angle value is ZE (20 deg), then the pitch rate may not be superimposed, so the rule is if E is ZE and EC is ZE, the U is ZE (if the generator speed change rate and the actual pitch angle value are both subordinate to ZE in the fuzzy subset, the superimposed pitch rate is subordinate to ZE in the fuzzy subset).
The fuzzy rule formulated according to the rule is shown in the following chart 1.
TABLE 1 fuzzy inference rules
From table 1 above:
the control amount is fuzzy subset PL membership degree is
CaseU1= MAX(MIN(CaseSpd [4],CasePitch[3]),MIN(CaseSpd [4],CasePitch[4]))；
The control quantity is fuzzy subset PM membership degree is
CaseU2=MAX(MAX(MAX(MIN(CaseSpd[2],CasePitch[4]),MIN(CaseSpd[3],CasePitch[3])),MAX(MIN(CaseSpd[3],CasePitch[4]),MIN(CaseSpd[4],CasePitch[1]))),MIN(CaseSpd [4],CasePitch[2])));
The control quantity is fuzzy subset PS membership degree is
CaseU3=MAX(MAX(MIN(CaseSpd[1],CasePitch[4]),MIN(CaseSpd[2],CasePitch[3])),MAX(MIN(CaseSpd[3],CasePitch[1]),MIN(CaseSpd[3],CasePitch[2]))；
The control quantity is fuzzy subset ZE and the membership degree is
CaseU4=MAX(MAX(MAX(MIN(CaseSpd[1],CasePitch[1]),MIN(CaseSpd[1],CasePitch[2])),MAX(MIN(CaseSpd[1],CasePitch[3]),MIN(CaseSpd[2],CasePitch[1]))),MIN(CaseSpd[2],CasePitch[2])));
Where function MAX () represents the maximum value in the set and function MIN () represents the minimum value in the set.
5) Deblurring:
the fuzzy set obtained by fuzzy reasoning is deblurred by a definite value representing process, and the barycenter method is used for deblurring.
Wherein v is 0 For final output, m is the number of elements in the domain, in this case 4, v k To control the output of the quantity at the kth rule, mu k (v k ) Is the membership at the kth rule.
Output superimposed pitch rate V p
V p =(PL*CaseU1+PM* CaseU2+PS* CaseU3+ZE* CaseU4)/( CaseU1+ CaseU2+ CaseU3+ CaseU4)
Where pl=2.5, pm=0.75, ps=0.15, ze=0.
Thus:
if the extreme gust working condition is TRUE, the superimposed pitch rate V output by the fuzzy pitch controller is calculated within the pitch angle sampling interval time delta t P And beta 0 And (2) increasing the pitch angle on the actual value of the pitch angle, changing the pitch angle of the wind turbine,
the superimposed pitch angle of the fuzzy pitch controller is delta beta=V p *△t；V p And delta t is sampling interval time for the superposition pitch rate output by the fuzzy pitch controller.

Claims (4)

1. Wind turbine generator system extreme gust identification system, its characterized in that includes:
the sensor module is used for collecting the generator rotating speed w of the wind turbine generator;
when the change rate of the rotating speed of the generator is larger than zero and the speed exceeding ratio of the rotating speed of the generator is larger than 5, the wind turbine is judged to be in an extreme gust working condition, wherein the speed exceeding ratio of the rotating speed of the generator is that；
The change rate of the rotation speed of the generator is，/>And->The generator speeds are respectively spaced one sample time in front of and behind.
2. The wind turbine generator system extreme gust identification system of claim 1, wherein the generator speed change rate is subjected to first-order low-pass filtering, and the filtering time constant is 50.
3. The wind turbine generator system extreme gust inhibition overspeed control system is characterized by comprising a wind turbine generator system extreme gust identification system, a torque PID controller and a variable pitch PID controller,
the sensor module is used for collecting actual active power P and actual pitch angle values of the wind turbine generator;
the torque PID controller and the variable pitch PID controller are respectively used for respectively controlling the generator rotating speed and the rated generator rotating speed w of the wind turbine generator set rate Output a given torque T 0 And a given pitch rate beta 0 ；
After judging that the wind gust is extreme, the fan master control is carried out in T 0 Adding the superposition torque output by the superposition torque controller as output to regulate the power generation of the variable-current actuating mechanismThe machine torque enables the pitch-variable mechanism to change the pitch rate V according to superposition output by the fuzzy pitch-variable controller within the pitch angle sampling interval time delta t P And beta 0 Adding a pitch angle on the actual value of the pitch angle, and changing the pitch angle of the wind turbine generator;
the superimposed torque is set as follows:
if the wind turbine generator adopts constant power control or if the wind turbine generator does not adopt constant power control and the super-power is not greater than zero, the superimposed torque is the rated torque T rate Difference deltat from actual torque T 0 ；
If the wind turbine generator set does not adopt constant power control and the super-power is larger than zero, the superposition torque is,wherein w is the actual rotation speed of the generator, and w rate Is the rated rotation speed of the generator, w max Is the overspeed protection value of the rotating speed of the generator, P is the actual active power, P max P is the active power overrun protection value rate Is rated as active power.
4. A wind turbine extreme gust suppression overspeed control system according to claim 3, wherein said fuzzy pitch controller outputs a pitch rate V as follows P :
Step 41, input quantity blurring: blurring the actual values of the rotating speed change rate and the pitch angle of the input generator through the selection of quantization factors, and converting the actual values into a fuzzy set;
step 42, fuzzy reasoning: performing fuzzy reasoning on the fuzzy set obtained in the step 41 according to the set fuzzy rule to obtain an output quantity, namely the superposition pitch rate V p Is a fuzzy set of (a);
step 43, deblurring: superimposed pitch rate V for step 42 output p Deblurring is carried out on the fuzzy set of the (2) to obtain the final required superimposed pitch rate V p The method comprises the steps of carrying out a first treatment on the surface of the Wherein, the superposition pitch rate V output in the step 42 is controlled by adopting a gravity center method p Deblurring the fuzzy set of (2) and obtaining the final product by selecting the scale factorsSuperimposed pitch rate V p 。
CN202310852553.9A 2023-07-12 2023-07-12 Wind turbine generator system extreme gust identification system and extreme gust inhibition overspeed control system Pending CN116658364A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310852553.9A CN116658364A (en) 2023-07-12 2023-07-12 Wind turbine generator system extreme gust identification system and extreme gust inhibition overspeed control system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310852553.9A CN116658364A (en) 2023-07-12 2023-07-12 Wind turbine generator system extreme gust identification system and extreme gust inhibition overspeed control system

Publications (1)

Publication Number Publication Date
CN116658364A true CN116658364A (en) 2023-08-29

Family

ID=87728159

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310852553.9A Pending CN116658364A (en) 2023-07-12 2023-07-12 Wind turbine generator system extreme gust identification system and extreme gust inhibition overspeed control system

Country Status (1)

Country Link
CN (1) CN116658364A (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20130134787A (en) * 2012-05-31 2013-12-10 영남대학교 산학협력단 Apparatus and method for pitch angle controlling of turbine by using fuzzy rule
CN105508135A (en) * 2015-12-14 2016-04-20 沈阳华创风能有限公司 Variable pitch control method based on combination of fuzzy feedforward and fuzzy PID control
KR101716074B1 (en) * 2016-02-04 2017-03-14 한밭대학교 산학협력단 Method and apparatus of power controller for regulating rated power in wind turbine systems
CN112983737A (en) * 2021-03-04 2021-06-18 中国大唐集团科学技术研究院有限公司华中电力试验研究院 Variable pitch control method of wind generating set based on power fuzzy control
WO2023092783A1 (en) * 2021-11-23 2023-06-01 南瑞集团有限公司 Fan fuzzy adaptive variable pitch control method capable of suppressing multiple disturbance factors
CN116241415A (en) * 2023-02-20 2023-06-09 明阳智慧能源集团股份公司 Fuzzy PID-based storm surge coupling load control method under typhoon condition

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20130134787A (en) * 2012-05-31 2013-12-10 영남대학교 산학협력단 Apparatus and method for pitch angle controlling of turbine by using fuzzy rule
CN105508135A (en) * 2015-12-14 2016-04-20 沈阳华创风能有限公司 Variable pitch control method based on combination of fuzzy feedforward and fuzzy PID control
KR101716074B1 (en) * 2016-02-04 2017-03-14 한밭대학교 산학협력단 Method and apparatus of power controller for regulating rated power in wind turbine systems
CN112983737A (en) * 2021-03-04 2021-06-18 中国大唐集团科学技术研究院有限公司华中电力试验研究院 Variable pitch control method of wind generating set based on power fuzzy control
WO2023092783A1 (en) * 2021-11-23 2023-06-01 南瑞集团有限公司 Fan fuzzy adaptive variable pitch control method capable of suppressing multiple disturbance factors
CN116241415A (en) * 2023-02-20 2023-06-09 明阳智慧能源集团股份公司 Fuzzy PID-based storm surge coupling load control method under typhoon condition

Similar Documents

Publication Publication Date Title
US20090224542A1 (en) Wind turbine operational method
CN105508135A (en) Variable pitch control method based on combination of fuzzy feedforward and fuzzy PID control
Ali et al. Comparative study of different pitch angle control strategies for DFIG based on wind energy conversion system
CN112523941A (en) Control method and module for preventing wind generating set from overspeed
CN111188732B (en) Wind power generation variable pitch robust fault-tolerant control method
WO2023092783A1 (en) Fan fuzzy adaptive variable pitch control method capable of suppressing multiple disturbance factors
CN104265568A (en) Control method, control device and control system for power per liter of fan
CN106762405A (en) A kind of control method and device that can suppress wind power generating set hypervelocity
CN116658364A (en) Wind turbine generator system extreme gust identification system and extreme gust inhibition overspeed control system
US11846270B2 (en) Control method and device of a wind park
CN115182844A (en) Bounded UDE torque control method for variable-speed wind generating set
CN113236488B (en) Variable pitch control method, system and equipment based on generator rotation speed margin
US20230176533A1 (en) Model-based predictive control method for structural load reduction in wind turbines
CN104500338A (en) Wind power generation active yawing variable-speed stall control system
Wu et al. Nacelle anemometer measurement‐based extremum‐seeking wind turbine region‐2 control for improved convergence in fluctuating wind
CN115898762A (en) Wind turbine generator overspeed inhibition control method, device and system
Taruffi et al. Numerical design of a wind observer and feedforward control of wind turbines
CN113864117B (en) Method for adjusting output quantity of pitch angle PID controller of wind generating set
CN113864118B (en) Limit load control method under wind turbine generator blade clamping condition
WO2023088432A1 (en) Controller for a wind turbine
EP4121653B1 (en) Wind turbine control arrangement
CN113864119B (en) Wind turbine generator set limit load control method under blade clamping condition
WO2023088416A1 (en) Controller for a wind turbine
CN115788773A (en) Floating type wind turbine generator set multi-target variable pitch control, system and equipment
Farag et al. Design and implementation of a variable-structure adaptive fuzzy-logic pitch and maximum power point tracking controllers for large wind turbines Wael Farag1, 2, Khaled El-Metwally1 and Ahmed Kamel1

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination