CN106059422B - A kind of fuzzy control method inhibited for double-fed fan motor play synchronized oscillation - Google Patents
A kind of fuzzy control method inhibited for double-fed fan motor play synchronized oscillation Download PDFInfo
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- H—ELECTRICITY
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Abstract
The invention discloses a kind of fuzzy control methods inhibited for double-fed fan motor play synchronized oscillation.Specifically include following steps：1, Aerodynamics Model, shafting model, doubly fed induction generator model, rotor-side and grid side converter Controlling model, DC capacitor dynamic process model and Series compensation lines model are established；2, converter electromagnetic torque Te control outer shrouds in double-fed fan rotor side are replaced to the method for conventional PI control using fuzzy control, using the variable quantity EC of electromagnetic torque error E and error as input variable, the variable quantity DU of controlled quentity controlled variable designs fuzzy controller as output quantity；3, increase self-adjusting module, build the fuzzy controller of fuzzy control of online adjusting parameter；4, double-fed fan motor play synchronized oscillation is controlled using above-mentioned fuzzy controller, completion inhibits it.The method of the present invention is rationally reliable, and the fuzzy controller applied has better inhibition to sub-synchronous oscillation, has good future in engineering applications.
Description
Technical field
The invention belongs to wind energy conversion system control technology fields, especially a kind of to be used for the DFIG of wind turbine containing double-fed (Doubly-Fed
Induction Generator) fuzzy control method of the wind power plant through the sub-synchronous oscillation inhibition caused by grid-connected of string benefit.
Background technology
Energy Development in China strategy will large-scale develop and utilize wind-powered electricity generation as its important component.Due to wind resource
It is inconsistent with workload demand distribution, it need to be by wind-powered electricity generation large capacity, remote conveying outward.Series compensation capacitance technology, which has, to be reduced
The advantages of circuit transmission capacity can be improved while transmission line loss can be implemented as the technology branch that wind-powered electricity generation is sent outside on a large scale
Support, but the application of the technology equally exist the problem of may inducing wind power plant sub-synchronous oscillation, and the generation of sub-synchronous oscillation is tight
The safe and stable operation of large-scale wind power base and delivery system is affected again.
In recent years, expert and scholars pass through the research to the wind power plant sub-synchronous oscillation mechanism of action, it is indicated that wind speed, circuit
Series compensation degrees and controller parameter are an important factor for influencing wind power plant sub-synchronous oscillation.It, can be attached by designing in thermoelectricity field
Damping controller is added to realize the inhibition of sub-synchronous oscillation, however the inhibition of sub-synchronous oscillation depends in sizable degree
In the quality of controller design level.Due to the uniqueness of wind-powered electricity generation field structure, the control of good inhibition is obtained in thermoelectricity field
Strategy may not be suitable for wind power plant.In the research of wind power plant sub-synchronous oscillation braking measure, different control letters may be used
Number design additional damping controller, but there are problems that being only applicable to single operating condition.It can also be by double-fed unit
Active and idle control ring additional longitudinal forces realize the inhibition of sub-synchronous oscillation, but wind generator system is time-varying, non-thread
Property, high-order, in controller design, controller parameter is designed using the method for cluster ion optimizing, calculation amount is very big, practical
It is difficult to apply in engineering.
Fuzzy control sets theory proposes by American professor Zandeh in nineteen sixty-five, new era of fuzzy mathematics and its application
Thus it starts.Fuzzy control is widely used, and becomes an important component of Fuzzy Set Theory application.Britain in 1974
It teaches Mamdani and applies Fuzzy Set Theory first in the dynamic process of boiler and steam engine, design controller, research knot
Fruit shows that the fuzzy controller of design has great importance, to excite the research boom of field of fuzzy control.
But a kind of control mode by double-fed fan rotor side converter there is no to be controlled by traditional PI in the prior art
Adaptive Fuzzy Control is replaced by inhibit the method for double-fed fan motor play synchronized oscillation.
Invention content
The purpose of the present invention is to provide a kind of fuzzy control methods inhibited for double-fed fan motor play synchronized oscillation.
Realize that the technical solution of the object of the invention is：It is a kind of to inhibit fuzzy for double-fed fan motor play synchronized oscillation
Control method includes the following steps：
Step 1, the electric power system model for establishing the field containing double-fed fan motor, which includes Aerodynamics Model, shafting mould
Type, doubly fed induction generator model, rotor-side convertor controls model, grid side converter Controlling model, DC capacitor dynamic process
Model and Series compensation lines model；
Step 2 controls the electromagnetic torque Te control outer shrouds of rotor-side convertor controls model using fuzzy controller
System；
Step 3 carries out online adaptive adjustment to the control parameter of the fuzzy controller in step 2, becomes adaptive
Answer fuzzy controller；
Step 4, using the adaptive fuzzy controller in the fuzzy controller and step 3 of step 2 to double-fed fan motor play
Synchronized oscillation is controlled, and the inhibition to it is completed.
Compared with prior art, the present invention its remarkable advantage is：1) present invention fully considers double-fed fan motor field operating condition
It is complicated, it is proposed that rotor-side converter electromagnetic torque Te control outer shrouds replace the method for conventional PI control using fuzzy control, and
It has built system model and has carried out simulating, verifying, for traditional fuzzy control, the online self-regulated of parameter designed by the present invention
Whole fuzzy controller has better inhibition to sub-synchronous oscillation, has good future in engineering applications；2) of the invention
Control method be directed to through string mend it is grid-connected caused by sub-synchronous oscillation problem, by the variable quantity of the error E of electromagnetic torque and error
EC is as input variable, and the variable quantity DU of controlled quentity controlled variable is as output quantity, on the basis of original fuzzy controller, increases self-adjusting
Module devises the fuzzy controller of fuzzy control of online adjusting parameter, has good control effect；3) this control method is suitable for double
The operating condition of wind power plant complexity is presented, it is applied widely, there is better inhibition；4) fuzzy control method pair of the invention
Double-fed fan motor play synchronized oscillation inhibits have good effect.
The present invention is described in further detail with reference to the accompanying drawings and detailed description.
Description of the drawings
Fig. 1 is wind farm grid-connected model.
Fig. 2 is grid side converter GSC structural schematic diagrams.
Fig. 3 is rotor-side converter RSC structural schematic diagrams.
Fig. 4 is typical fuzzy domination structure in reponse system.
Fig. 5 is the membership function of torque fuzzy control, wherein (a) is error membership function, it is (b) error change amount
Membership function (c) is output control variable quantity membership function.
Fig. 6 is adaptive fuzzy controller structure chart.
Fig. 7 is that the Te oscillating curves of different wind speed under common PI controls are (b) wherein (a) is Te oscillating curves under 7m/s
8 be Te oscillating curves under m/s, is (c) Te oscillating curves under 9m/s.
Fig. 8 is the Te oscillating curves of different wind speed under fuzzy control, wherein (a) is Te oscillating curves under 7m/s, it is (b) 8
For Te oscillating curves under m/s, (c) it is Te oscillating curves under 9m/s.
Fig. 9 is the Te oscillating curves of different series compensation degrees under common PI controls, wherein (a) is that Te oscillations are bent under 78% series compensation degrees
Line (b) is Te oscillating curves under 85% series compensation degrees.
Figure 10 is the Te oscillating curves of different series compensation degrees under fuzzy control, wherein (a) is that Te oscillations are bent under 78% series compensation degrees
Line (b) is Te oscillating curves under 85% series compensation degrees.
Specific implementation mode
A kind of fuzzy control method inhibited for double-fed fan motor play synchronized oscillation of the present invention, includes the following steps：
Step 1, the electric power system model for establishing the field containing double-fed fan motor, which includes Aerodynamics Model, shafting mould
Type, doubly fed induction generator model, rotor-side convertor controls model, grid side converter Controlling model, DC capacitor dynamic process
Model and Series compensation lines model；
The Aerodynamics Model is：
The wherein C of power coefficientpThe expression formula of (λ, β) is：
In formula, TwFor wind energy conversion system output torque；ρ is atmospheric density；R is blade radius；VwFor wind speed；ΩmTurn for wind energy conversion system
Speed；λ is the tip velocity ratio of wind energy conversion system, and β is propeller pitch angle；
Doubly fed induction generator model is：
AIG=-ωb.G-1.F (5)
BIG=ωb.G-1 (6)
In formula (4)~(8), XIG=[iqs,ids,iqr,idr], UIG=[uqs,uds,uqr,udr], XIGFor stator and rotor
The d of electric current, q axis component, UIGFor the d of stator and rotor voltage, q axis components, Xss=Xls+XMFor stator circuit equivalent reactance, Xrr
=Xlr+XMFor rotor loop equivalent reactance, XMFor excitation reactance, RrFor rotor resistance, RsFor stator resistance, ωbOn the basis of angle speed
Degree, ωrRotor angular velocity of rotation, ωeFor rotating coordinate system angular speed；
Shafting model is：
In formula：HtAnd HgThe respectively inertia constant of wind turbine and generator；ωtAnd ωrRespectively wind turbine and generator
Rotating speed；TeAnd TWRespectively generator electromagnetic torque and wind turbine output torque；DtIndicate the damped coefficient of wind turbine；DgIt indicates
The damped coefficient of generator；DtgFor the damped coefficient of shafting, KtgFor the stiffness coefficient of shafting；
The dynamic model of DC capacitor is：
In formula, UdcFor DC capacitor voltage；PrFor rotor-side converter (RSC) active power；PgFor grid side converter
(GSC) side active power；
Series compensation lines model is：
In formula, ucq、ucdThe respectively component of voltage of the q axis and d axis of capacitance；ieq、iedRespectively transmission line q axis and d axis
Current component；utq、utdThe respectively component of voltage of the q axis and d axis of 161kV circuits head end voltage；EBq、EBdIt is respectively infinitely great
The q axis and d axis components of system；XcFor series electrical capacitance, RL、XLRespectively transmission line of electricity resistance and inductance value；
Rotor-side convertor controls use the model of conventional PI control for：
In formula,For torque reference,To survey torque；For stator reactive voltage reference value,For the idle electricity of stator
It is compacted measured value；For the ratio and storage gain of direct torque ring；For Reactive Power Control ring ratio and
Storage gain；For the ratio and storage gain of current regulator；x1、x2、x3、x4Link is drawn in order to control
The intermediate variable entered；
Grid side converter control use the model of conventional PI control for：
In formula,Udc、UsCorrespond respectively to reference value and the measurement of DC tache voltage and generator terminal voltage
Value, Kp1、Ti1For the ratio and storage gain of direct current pressure ring and generator terminal voltage ring；Kp2、Ti2For the ratio of current regulator
Example and storage gain；x5、x6、x7、x8The intermediate variable that link introduces in order to control.
Step 2 controls the electromagnetic torque Te control outer shrouds of rotor-side convertor controls model using fuzzy controller
System；The fuzzy controller is：
K1E+K2CE=DU
In formula, E is the error of rotor-side converter electromagnetic torque, and CE is the variable quantity of error, the variation that DU is measured in order to control
Amount, K1And K2Fuzzy control rule for nonlinear factor, the fuzzy controller is：
1 fuzzy control rule table of table
Step 3 carries out online adaptive adjustment to the control parameter of the fuzzy controller in step 2, becomes adaptive
Answer fuzzy controller；
The expression formula of the adaptive fuzzy controller is
k′e=ke×(1+θe)
k′ec=kec×(1+θec)
k′u=ku×(1+θu)
In formula, θeFor quantizing factor keCorrecting value, θecFor quantizing factor kecCorrecting value, θuFor scale factor kuSchool
Positive quantity, k 'uFor the scale factor after being adjusted, k 'e, k 'ecFor the quantizing factor after being adjusted；
Self-adjusting control rule is above-mentioned parameter online：
2 quantizing factor k of tableeControl rule table
3 quantizing factor k of tableecControl rule table
4 scale factor k of tableuControl rule table
Step 4, using the adaptive fuzzy controller in the fuzzy controller and step 3 of step 2 to double-fed fan motor play
Synchronized oscillation is controlled, and the inhibition to it is completed.
It is described in more detail below：
The present invention is mended for the DFIG of unit containing double-fed (Doubly-Fed Induction Generator) wind power plants through string
Sub-synchronous oscillation problem caused by grid-connected provides a kind of fuzzy controller inhibited for double-fed fan motor play synchronized oscillation and sets
Meter.The system model studied is being developed by IEEE First Canonical Forms, as shown in Figure 1.Entirely electric power system model includes
Aerodynamics Model, shafting model, doubly fed induction generator model, rotor-side convertor controls model, grid side converter control
Model, DC capacitor dynamic process and Series compensation lines model.
The two level voltage type pwm converters that double-fed asynchronous generator is connected back-to-back, by DC link using two
AC excitation is carried out, realizes that variable speed constant frequency operation and maximal power point tracking control with this, therefore the operation control of DFIG is mainly
Control to AC excitation converter.Rotor-side and grid side converter are all by the way of cascade Mach-Zehnder interferometer.Net side uses two close cycles
PI controllers, rotor-side converter electromagnetic torque Te control outer shrouds replace the method for conventional PI control using fuzzy control.
Fig. 2 is the model schematic of grid side converter control, can be used to lower differential equation group and indicates：
In formulaUdc、UsCorrespond respectively to reference value and the measurement of DC tache voltage and generator terminal voltage
Value；For the grid side converter q shaft current reference values obtained through fuzzy control ring, iqgIt is practical for grid side converter q shaft currents
Value；For grid side converter d shaft current reference values, idgFor grid side converter d shaft current actual values；Kp1、Kp2、Ki1、Ki2Respectively
For the proportion integral modulus of grid side converter DC voltage, set end voltage and current control；x4、x5、x6、x7Link is drawn in order to control
The intermediate variable entered.
Fig. 3 is the model schematic of rotor-side convertor controls, in order to inhibit the wind power plant of the unit containing double-fed is subsynchronous to shake
It swings, converter electromagnetic torque Te control outer shrouds in double-fed fan rotor side is replaced to the method for conventional PI control using fuzzy control,
Design fuzzy controller.When fuzzy controller regards the static non linear mapping of input/output as, by error E and error
Variable quantity EC is as input variable, and as output quantity, the description of control action can be indicated the variable quantity DU of controlled quentity controlled variable with following formula：
K1E+K2CE=DU
In formula, K1And K2It can be obtained after taking into account summation or integral for nonlinear factor or gain coefficient
U=K1∫Edt+K2E
It can regard as a kind of Fuzzy PI Controller containing non-linear gain factor.It is non-thread possessed by fuzzy controller
Property adaptive gain changes online, when Parameters variation or load disturbance, makes control system that must respond with robustness.Feedback
Fuzzy domination structure in system is as shown in Figure 4.
The control method of rotor-side converter can be used following differential equation group to indicate：
Its principle is TeWithDeviation E and change of error amount CE is two input signals of fuzzy controller, rotor current q
The variable quantity of axis componentOutput quantity DU as controller.According to E and CE, update output DU, it is ensured that actual torque TeTracking
Given torqueBy rotor current q axis component variable quantitiesIntegral, obtain actual control signal i.e. rotor current q axis point
The specified rate of amountThe q axis point of rotor voltage is obtained after PI control rings with the error of actual rotor current q axis components
Amount, is modulated to obtain required u by pwm control circuitqr, realize the target of rotor current vector controlled.
Converter electromagnetic torque Te control outer shrouds in double-fed fan rotor side are used into fuzzy control, in conventional fuzzy controller
In, in conjunction with electromagnetic torque TeFuzzy control system, input signal be error e and error change ec, output signal du it is fuzzy
Collection and its corresponding Membership Function Distribution, as shown in Figure 5.The fuzzy set being defined herein is as follows：Z=zero, PS=is just small, PM
=center, PB=is honest, and NS=bears small, and during NM=is negative, NB=is negative big.Each variable in entire section is indicated when design with unit value
Domain, signal E and CE have 7 membership functions (MF) respectively, and all MF are symmetry axis in the positive and negative semiaxis of variable.Fuzzy
In the design of controller, there are following principles：1. if the value of e and ce is all zero, ensure that current controlled quentity controlled variable is constant, i.e. du=0；
If 2. e is not zero, but system response is close to zero with ideal velocity, then keeps current controlled quentity controlled variable；If 3. e increase, need with
The size of current signal e and ce is foundation, changes control signal du, to keep e gradually close to zero.Obtain fuzzy control rule
Then as shown in table 1.
1 fuzzy control rule table of table
When using conventional fuzzy controller, quantization and scale factor are fixed during entire control, it is difficult to be made
System control obtains good dynamic characteristic and static quality.For the performance of Optimizing Fuzzy Controller, need to realize controller
The online self-adjusting amount of parameter, the function are realized by adding higher level's submodule fuzzy controllers.
On the basis of conventional fuzzy controller, by increasing by three function modules, a kind of new fuzzy control is just constituted
Device, i.e. adaptive fuzzy controller, structure are as shown in Figure 6.The figure shows be single-input single-output the case where.Increased portion
Point it is exactly three functional blocks in Fig. 6 in dotted line frame, respectively：
(1) performance measurement --- measurement obtains the deviation between expected characteristics and reality output characteristic, can provide in this way
The information of control rule self regulating for popular, exactly obtains the correcting value P of output response.
(2) control variable rectification --- the correcting value of conversion output response is the correcting value R to controlled quentity controlled variable.
(3) control rule self regulating --- modification control rule realizes the correction of controlled quentity controlled variable.
In fact, the performance for improving fuzzy controller mainly considers from the following aspects.
(1) membership function of the fuzzy set of adjustment input and output domain.
(2) change the scale factor of the quantizing factor and control variable U of error E and error rate EC.
(3) fuzzy control rule is changed
In view of double-fed fan motor field is more complex through the grid-connected sub-synchronous oscillation model of string benefit, it is based on quantization scaling factor self-regulated
The adaptive fuzzy controller of adjusting method design is simple and efficient with algorithm, the preferable advantage of control effect, therefore is considered as
The adaptive fuzzy controller of the method design rotor-side converter of self-adjusting quantization scaling factor.
Submodule is pasted in the design process of emulator module, and with error e and error change amount ec, device inputs in order to control, quantization because
Sub- keCorrecting value θe, quantizing factor kecCorrecting value θec, scale factor kuCorrecting value θuFor output quantity.After being adjusted
Ratio and the expression formula of quantizing factor can be indicated with following expression formula：
k′e=ke×(1+θe)
k′ec=kec×(1+θec)
k′u=ku×(1+θu)
The fuzzy subset and fuzzy domain of error and error rate are identical as designed fuzzy controller above, θe、
θec、θuFuzzy subset be：{ NB, NM, NS, ZO, PS, PM, PB }.
Substantially domain is respectively：
θe：{ -0.6, -0.4, -0.2,0,0.2,0.4,0.6 }；
θec：{ -0.3, -0.2, -0.1,0,0.1,0.2,0.3 }；
θu：{ -0.6, -0.4, -0.2,0,0.2,0.4,0.6 }；
By the analysis above to systematic procedure control mode, the control rule of fuzzy control of online adjusting parameter can be obtained, such as table 2-4 institutes
Show：
2 quantizing factor k of tableeControl rule table
3 quantizing factor k of tableecControl rule table
4 scale factor k of tableuControl rule table
Corresponding fuzzy control submodule can be designed according to the fuzzy control rule of table 2-4, E and EC pass through fuzzy control
Relevant parameter correction amount can be obtained after submodule control, and then the quantization after being adjusted and scale factor, the quantization that will be obtained
The fuzzy control for just constituting fuzzy control of online adjusting parameter quantization and scale factor is combined with conventional fuzzy controller with scale factor
Device.
Further detailed description is done to the present invention with reference to embodiment：
Embodiment
Using MATLAB as platform, system as shown in Figure 1 is built, the wind power plant of 100MW is through a 690V/ in systems
After the boosting of 161kV transformers, it is connected in Infinite bus system by Series compensation lines.Wherein the wind power plant of 100MW is by 50
The double-fed wind power generator group of a 2MW is closed.The dynamic behaviour of one combination large-scale wind power field can be used in single machine DFIG
Equivalent Model indicates.Specific systematic parameter is as shown in the table.
5 double-fed induction wind driven generator parameter of table
| Reference capacity | 2MW | 100MW |
| Reference line voltage | 690V | 690V |
| Xls | 0.09231pu | 0.09231pu |
| Xlr | 0.09955pu | 0.09955pu |
| XM | 3.95279pu | 3.95279pu |
| Rs | 0.00488 | 0.00488 |
| Rr | 0.00549 | 0.00549 |
| Xtg | 0.3pu(0.189mH) | 0.3pu(0.189/50mH) |
| DC capacitor reference voltage | 1200V | 1200V |
| DC capacitor capacitive reactance | 14000μF | 50×14000μF |
6 power transmission network parameter of table and shafting parameter
| Transformer voltage ratio | 690V/161kV | Ht | 4.29s |
| Reference capacity | 100MVA | Hg | 0.90s |
| Rline | 0.02pu | Dt | 0.00pu |
| Xline | 0.50pu | Dg | 0.00pu |
| XT | 0.14pu | Dtg | 1.50pu |
| XS | 0.06pu | Ktg | 0.15pu/rad |
Table 7PI controller control parameters
| TTe | 0.05 | Kp1 | 1 |
| TQs | 0.025 | Ki1 | 10 |
| Tiq | 0.005 | Kp2 | 0.1 |
| Tid | 0.0025 | Ki2 | 0.05 |
| KTe | 0.0001 | Kiq | 0.0001 |
| KQs | 0.0001 | Kid | 0.0001 |
The analysis of grid-connected caused sub-synchronous oscillation is mended it is found that wind farm wind velocity through string to the DFIG wind power plants of wind turbine containing double-fed
Smaller, circuit series compensation degrees are bigger, and the synchronized oscillation of double-fed fan motor play and system unstability phenomenon are more apparent.It is designed in order to verify
Inhibition of the Adaptive Fuzzy Control to sub-synchronous oscillation.For the present invention in system emulation, initial series compensation degrees are 25%, 0.5
After system stable operation, circuit series compensation degrees are changed into 85%.Be 7m/s to wind speed, the different operating modes of 8m/s, 9m/s respectively into
Simulating, verifying is gone, the common lower electromagnetic torque T of PI controlseSimulation waveform as shown in fig. 7, wind speed increases to 9m/s from 7m/s
Afterwards, Te is become restraining from increasing oscillation.Converter electromagnetic torque Te control outer shrouds in double-fed fan rotor side are used into fuzzy control,
The electromagnetic torque T under different wind speed under the Adaptive Fuzzy Control of conventional fuzzy control and fuzzy control of online adjusting parametereIt is imitative
True waveform is as shown in Figure 8.For in the operating mode that wind speed is 7m/s, equivalent generator electromagnetic torque TeDynamic response be diverging
, i.e. system unstability.But when using conventional fuzzy and fuzzy control of online adjusting parameter fuzzy controller, electromagnetic torque TeDynamic
Response wave shape is convergent, shows that system keeps stablizing, and the fuzzy control convergence rate of fuzzy control of online adjusting parameter is than conventional mould
Paste control is fast.For the operating condition of 8m/s and 9m/s, when being controlled using conventional PI, after changing series compensation degrees, system is stable
, when being obscured using the fuzzy control and routine of fuzzy control of online adjusting parameter, system is equally stable.It is found that fuzzy controller
There is good adaptivity to different operating modes, and when wind speed changes, effectively system can be kept to stablize, can reach
Inhibit the effect of sub-synchronous oscillation.
Circuit series compensation degree is bigger, and the sub-synchronous oscillation phenomenon of the wind power plant of unit containing DFIG is more apparent.Carry out system is imitative
The wind speed chosen when true is 7m/s.Initial series compensation degrees are after 25%, 0.5s systems are stablized, and changing circuit series compensation degrees successively is
78%, 85%, simulating, verifying is carried out respectively to the control effect under different operating modes, wherein the lower electromagnetic torque T of common PI controlse's
Simulation waveform is as shown in figure 9, use the electromagnetic torque of the Adaptive Fuzzy Control of conventional fuzzy control and fuzzy control of online adjusting parameter
TeSimulation waveform it is as shown in Figure 10.It is found that when series compensation degrees are followed successively by 78%, when 85%, correspondence is electromagnetic torque Te respectively
Width vibrates, increasing oscillation.With the increase of series compensation degrees, system becomes oscillatory regime from stable state, and final system loses surely
It is qualitative.When using fuzzy control, by electromagnetic torque TeDynamic response curve it is found that TeA certain specific value is finally converged on, i.e.,
System is stable.And the adaptive fuzzy controller of parameters self-tuning is faster than conventional fuzzy controller convergence rate.
From the above analysis, it can be deduced that：The fuzzy controller that the present invention designs is in wind speed and series compensation degrees wide variation
When, there is good adaptivity, double-fed fan motor field can effectively be inhibited to be concatenated the grid-connected caused sub-synchronous oscillation of compensation.
Claims (4)
1. a kind of fuzzy control method inhibited for double-fed fan motor play synchronized oscillation, which is characterized in that include the following steps：
Step 1, the electric power system model for establishing the field containing double-fed fan motor, which includes Aerodynamics Model, shafting model, double
Present induction motor model, rotor-side convertor controls model, grid side converter Controlling model, DC capacitor dynamic process model with
And Series compensation lines model；
Step 2 controls the electromagnetic torque Te control outer shrouds of rotor-side convertor controls model using fuzzy controller；
Step 3 carries out online adaptive adjustment to the control parameter of the fuzzy controller in step 2, becomes adaptive mode
Fuzzy controllers；
Step 4 controls double-fed fan motor play synchronized oscillation using the adaptive fuzzy controller in step 3, completion pair
Its inhibition.
2. being used for the fuzzy control method that double-fed fan motor play synchronized oscillation inhibits according to claim 1, which is characterized in that
Aerodynamics Model in step 1 is：
The wherein C of power coefficientpThe expression formula of (λ, β) is：
In formula, TwFor wind energy conversion system output torque；ρ is atmospheric density；R is blade radius；VwFor wind speed；ΩmFor wind energy conversion system rotating speed；λ
For the tip velocity ratio of wind energy conversion system, β is propeller pitch angle；
Doubly fed induction generator model is：
AIG=-ωb.G-1.F (5)
BIG=ωb.G-1 (6)
In formula (4)~(8), XIG=[iqs,ids,iqr,idr], UIG=[uqs,uds,uqr,udr], XIGFor stator and rotor current
D, q axis components, UIGFor the d of stator and rotor voltage, q axis components, Xss=Xls+XMFor stator circuit equivalent reactance, Xrr=Xlr
+XMFor rotor loop equivalent reactance, XMFor excitation reactance, RrFor rotor resistance, RsFor stator resistance, ωbOn the basis of angular speed,
ωrRotor angular velocity of rotation, ωeFor rotating coordinate system angular speed；
Shafting model is：
In formula：HtAnd HgThe respectively inertia constant of wind turbine and generator；ωtAnd ωrRespectively wind turbine and generator speed；
TeAnd TWRespectively generator electromagnetic torque and wind turbine output torque；DtIndicate the damped coefficient of wind turbine；DgIndicate generator
Damped coefficient；DtgFor the damped coefficient of shafting, KtgFor the stiffness coefficient of shafting；
The dynamic model of DC capacitor is：
In formula, UdcFor DC capacitor voltage；PrFor rotor-side converter (RSC) active power；PgFor the side grid side converter (GSC)
Active power；
Series compensation lines model is：
In formula, ucq、ucdThe respectively component of voltage of the q axis and d axis of capacitance；ieq、iedThe respectively electric current of transmission line q axis and d axis
Component；utq、utdThe respectively component of voltage of the q axis and d axis of 161kV circuits head end voltage；EBq、EBdRespectively Infinite bus system
Q axis and d axis components；XcFor series electrical capacitance, RL、XLRespectively transmission line of electricity resistance and inductance value；
Rotor-side convertor controls use the model of conventional PI control for：
In formula,For torque reference, TeTo survey torque；For stator reactive voltage reference value, QsIt is surveyed for stator reactive voltage
Value；For the ratio and storage gain of direct torque ring；Increase for the ratio and integral of Reactive Power Control ring
Benefit；For the ratio and storage gain of current regulator；x1、x2、x3、x4The centre that link introduces in order to control
Variable；
Grid side converter control use the model of conventional PI control for：
In formula,Udc、UsThe reference value and measured value of DC tache voltage and generator terminal voltage are corresponded respectively to,
Kp1、Ti1For the ratio and storage gain of direct current pressure ring and generator terminal voltage ring；Kp2、Ti2For the ratio of current regulator
And storage gain；x5、x6、x7、x8The intermediate variable that link introduces in order to control.
3. being used for the fuzzy control method that double-fed fan motor play synchronized oscillation inhibits according to claim 1, which is characterized in that
Fuzzy controller described in step 2 is：
K1E+K2CE=DU
In formula, E is the error of rotor-side converter electromagnetic torque, and CE is the variable quantity of error, the variable quantity that DU is measured in order to control, K1
And K2For nonlinear factor, the fuzzy control rule such as table 1 of the fuzzy controller,
1 fuzzy control rule table of table
4. being used for the fuzzy control method that double-fed fan motor play synchronized oscillation inhibits according to claim 1, which is characterized in that
The expression formula of adaptive fuzzy controller described in step 3 is：
k′e=ke×(1+θe)
k′ec=kec×(1+θec)
k′u=ku×(1+θu)
In formula, θeFor quantizing factor keCorrecting value, θecFor quantizing factor kecCorrecting value, θuFor scale factor kuCorrecting value,
k′uFor the scale factor after being adjusted, k 'e, k 'ecFor the quantizing factor after being adjusted；
The online self-adjusting control rule of above-mentioned parameter such as table 2,3,4,
2 quantizing factor k of tableeControl rule table
3 quantizing factor k of tableecControl rule table
4 scale factor k of tableuControl rule table
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| CN109193699B (en) * | 2018-09-28 | 2020-09-04 | 上海交通大学 | Wind turbine converter PI parameter optimization method for subsynchronous oscillation suppression |
| US11411519B2 (en) | 2018-10-05 | 2022-08-09 | Vestas Wind Systems A/S | Method for handling sub-synchronous resonances |
| CN109755968B (en) * | 2019-03-26 | 2020-01-31 | 贵州电网有限责任公司 | Neural network performance-preserving virtual synchronous control method for double-fed wind turbine generator |
| CN109950930A (en) * | 2019-04-12 | 2019-06-28 | 哈尔滨理工大学 | A kind of time-domain simulation method of doubly-fed wind turbine system sub-synchronous oscillation |
| CN112448398B (en) * | 2019-08-29 | 2022-09-13 | 南京理工大学 | Stator side analog resistance-based doubly-fed wind power plant subsynchronous oscillation suppression method |
| CN113193589B (en) * | 2021-03-31 | 2022-08-16 | 哈尔滨工业大学 | DFIG wind power plant subsynchronous oscillation suppression method based on digital twin simulation |
| CN114006387B (en) * | 2021-11-19 | 2024-02-02 | 华北电力大学 | Self-adaptive frequency subsynchronous oscillation suppression method and system based on multi-branch impedance |
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