CN110417032A - A kind of double-fed blower participates in the multiobjective optimization control method of system frequency modulation - Google Patents
A kind of double-fed blower participates in the multiobjective optimization control method of system frequency modulation Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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Abstract
The present invention provides the multiobjective optimization control methods that a kind of double-fed blower participates in system frequency modulation, comprising: maximal power tracing strategy Wind turbines carry out revolving speed recovery；Design Variable power curve；The optimizing of Variable power parameter of curve is carried out based on Pareto algorithm.The multiple-objection optimization of technical solution of the present invention realization revolving speed recovery process, it is possible to reduce secondary fall of frequency extends service life with revolving speed recovery time, the stability of raising wind generator system operation.
Description
Technical field
The invention belongs to wind generator system technical fields, and in particular to a kind of double-fed blower participates in more mesh of system frequency modulation
Mark optimal control method.
Background technique
Wind energy has the advantages that cleaning, from a wealth of sources, renewable etc. a variety of, and wind-power electricity generation has become current most potential new
One of energy generation mode.With the large-scale grid connection of wind-powered electricity generation, the stabilization of mains frequency is faced with increasingly serious challenge.One
Aspect be because the application of double-fed asynchronous generator is so that power and frequency, full decoupled, cause Wind turbines can not in time with
Track frequency fluctuation, the equivalent inertia of system are 0；On the other hand, Wind turbines generally use maximal power tracing control strategy, nothing
Method provides additional active power to cope with the fluctuation of mains frequency.Therefore, wind-driven generator cannot be as traditional thermal power generation
Factory's effectively fluctuation of responsive electricity grid system frequency like that.Domestic and international expert achieves many innovative prominent in terms of wind-powered electricity generation frequency modulation
It is broken.It includes staying spare and not staying spare two class that Wind turbines, which participate in system frequency modulation technology,.
Staying standby mode to participate in electric system frequency modulation is exactly to change propeller pitch angle or rotor speed, reduces the stable state of Wind turbines
Output power value, is at the state of unloading, to obtain a part of spare capacity.When system frequency reduces, increase wind
Electric field output power is adjusted with the frequency that spare capacity participates in system.Although it is suitable with fired power generating unit to stay standby mode to have
Frequency modulation performance, but the state due to staying standby mode that Wind turbines is made to be chronically at off-load greatly reduces wind-power electricity generation
Economic benefit.
Not staying standby mode then is the output work for changing Wind turbines after disturbance occurs by hypothetical rotor inertia control
Rate promotes the kinetic energy of Wind turbines release storage in the rotor, simulates the Inertia Characteristics of synchronous machine, reduce wind-electricity integration to system
Bring adverse effect assists to improve system frequency response.Rotor inertia control, which is rationally utilized, is stored in Wind turbines rotor
In kinetic energy, when system frequency reduce when, based on double fed induction generators controlling electromagnetic torque release rotor kinetic energy carry out in short-term
Power support.And during power support, as the kinetic energy of rotor gradually discharges, when generator speed drops under revolving speed
In limited time, Wind turbines exit primary frequency modulation control, restore MPPT control, and the energy reuptaked in wind carries out revolving speed recovery, this
When, the unexpected decline for causing active power to export that declines to a great extent of electromagnetic torque, so as to cause second of decline of system frequency.
Such as Chinese Patent Application No. is that CN201210037763.4 discloses a kind of double-fed fan motor unit primary frequency modulation connection
Combination control method carries out on-line optimization design to PD control device parameter using Hopfield Neural Networks, establishes adaptive
Should be able to the stronger neuron controller of power, be able to achieve jointly controlling for rotor kinetic energy and non-firm power, using frequency variation it is minimum as
Objective function makes network weight correspond to system state variables, and the parameter by the output of neuron as PD control device, passes through
The combination of objective function expression formula and energy function formula obtains the changing rule of parameter, and then finds stable state according to rule
Output.The invention jointly controls strategy to nerve using PSCAD/EMTDC emulation platform and has carried out simulation study in detail, and with
Legacy frequencies control strategy compares, the results showed that Hopfield nerve jointly controls to be controlled with better primary frequency modulation
Effect.But the invention there is no emphasis be directed to exit primary frequency modulation control when the secondary of system frequency fall and to carry out revolving speed extensive
Multiple recovery time is analyzed.
For another example Chinese Patent Application No. discloses a kind of double-fed blower assist in synchronization generator ginseng for 201810062931.2
With electric grid secondary frequency modulation control method for coordinating, the double-fed blower in the invention has controllable frequency modulation frequency modulation ability, is guaranteeing to pass through
Under the premise of Ji type and stability, double-fed blower active response AGC control signal and can change itself power output, and double-fed blower
Assist in synchronization generator, which participates in electric grid secondary frequency modulation, realizes the priority scheduling of new energy, save electric grid secondary frequency modulation at
This.But there is no propose that participating in system frequency modulation to wind generator system clearly requires the main mesh coordinated and optimized for the invention
It marks parameter and carries out detailed analysis, also fall and revolving speed recovery time, and raising wind-power electricity generation system without reducing the secondary of frequency
The problem of stability run of uniting and extension service life.
Summary of the invention
For exist in the prior art no emphasis be directed to exit primary frequency modulation control when system frequency it is secondary fall and
The insufficient problem that the recovery time of progress revolving speed recovery is analyzed, the purpose of the present invention is to provide a kind of participations of double-fed blower
The multiobjective optimization control method of system frequency modulation.
The technical solution that the present invention solves the problems, such as is:
The multiobjective optimization control method, comprising:
Step 1. maximal power tracing strategy Wind turbines carry out revolving speed recovery；
Step 2. designs Variable power curve；
Step 3. is based on Pareto algorithm and carries out the optimizing of Variable power parameter of curve.
Further, step 1 maximal power tracing strategy Wind turbines carry out revolving speed recovery include:
When step 11. Wind turbines are run at steady state, A of the running of wind generating set in MPPT maximum power point tracking state
At point；When mains frequency reduces, Wind turbines carry out frequency modulation, and the electromagnetic power of Wind turbines output is from MPPT maximum power point tracking
It is increased at the A point of state at the B point of maximal power tracing dotted state；Again along straight from the B point of maximal power tracing dotted state
Line carries out power support to operation at electromagnetic power C point, while Wind turbines revolving speed is decreased at electromagnetic power C point corresponding turn
Fast lower limit；
Step 12. Wind turbines are run along straight line at electrical power power C point from the B point of maximal power tracing dotted state
During carrying out power support, when Wind turbines revolving speed reaches lower rotation speed limit, Wind turbines exit frequency modulation.
Further, step 2 design Variable power curve includes:
Step 21. works as Wind turbines rotational speed omegarDrop to lower rotation speed limit ωrminWhen, Wind turbines exit frequency modulation, and setting becomes
Power curve COEFFICIENT K, (1) calculates according to the following formula:
In formula, ωrFor Wind turbines revolving speed, ωrefFor speed reference, ωrminFor Wind turbines participate in frequency modulation when revolving speed；
Step 22. designs Variable power function, and (2) calculate according to the following formula:
In formula: f (t) is Variable power function, and t is time, the first parameter a, the second parameter b, third parameter t1, the 4th parameter
t2；
Step 23. is bent according to the formula (1) of Variable power curve coefficients and formula (2) the design Variable power of Variable power function
Line, (3) calculate according to the following formula:
Pac=K × f (t) ... (3)
In formula: PacFor Variable power curve.
Further, step 3 includes: based on the progress Variable power parameter of curve optimizing of Pareto algorithm
Step 31. sets first by carrying out emulation testing to Variable power function f (t) according to the design of Variable power curve
Parameter a, the second parameter b, third parameter t1, the 4th parameter t2Value range, as shown in following formula (4)~(7):
-0.07≤a≤-0.06……(4)
0.1≤b≤0.3……(5)
t1=173 ... (6)
220≤t2≤230......(7)
Step 32. is by choosing third parameter t1It is 173 and in the first parameter, the second parameter and the 4th parameter value model
It encloses interior selection the first parameter, the second parameter and the 4th parameter and calculates different Variable power curves；
The secondary drop depth of mains frequency and revolving speed recovery time are as seeking when Wind turbines are exited frequency modulation by step 33.
Excellent target determines secondary drop depth and the revolving speed recovery time of mains frequency according to different Variable power curves, with power grid frequency
The secondary drop depth of rate is abscissa, revolving speed recovery time is that ordinate draws curve graph, is tied using Pareto algorithm
Fruit analysis, selects the parameter of Pareto optimality.
Compared with the existing technology, the beneficial effects of the present invention are:
1. technical solution of the present invention carries out revolving speed recovery by maximal power tracing strategy Wind turbines；Design Variable power
Curve；The optimizing of Variable power parameter of curve is carried out based on Pareto algorithm, realizes the stability for maintaining mains frequency, it is ensured that electric power
The effect of the safety of system.
2. technical solution of the present invention emphasis falls and carries out for the secondary of system frequency when exiting primary frequency modulation control
The recovery time that revolving speed restores is analyzed, this is of great significance for promoting wind-electricity integration ability.
3. technical solution of the present invention mainly clearly requires wind generator system participation system frequency modulation and coordinates and optimizes
Main target parameter.For multiple objective optimizations there are the case where carry out detailed analysis.At Pareto optimization theory
The Pareto optimization border issue of multiple-objection optimization is managed, realizes the multiple-objection optimization of revolving speed recovery process.And frequency can be reduced
Secondary fall of rate extends service life with revolving speed recovery time, the stability of raising wind generator system operation.
Detailed description of the invention
Fig. 1 is the multiobjective optimization control method flow diagram of the invention；
Fig. 2 is the schematic illustration of the running of wind generating set of the invention revolving speed restoration methods at the section MPPT；
Fig. 3 is that the Variable power curve of optimization of the invention carries out the structure chart of revolving speed recovery；
Fig. 4 is the frequency comparison figure of the invention that frequency modulation is not involved in using MPPT curve recovery progress frequency modulation and wind-powered electricity generation；
Fig. 5 is the frequency variation comparison diagram of b of the invention in determining value range；
Fig. 6 is the frequency variation comparison diagram of a of the invention in determining value range；Fig. 7 is t of the present invention2In determination
Value range in frequency change comparison diagram.
Specific embodiment
The specific embodiment of multiobjective optimization control method of the present invention is made into one with reference to the accompanying drawings of the specification
Step is described in detail.
As shown in Figure 1, the multiobjective optimization control method includes:
Step 1. maximal power tracing strategy Wind turbines carry out revolving speed recovery:
Step 11. Fig. 2 shows curve include MPPT maximum power point tracking state (MPPT) curve, dotted line and CA curve,
Point E, G, A and B are respectively positioned on MPPT maximum power point tracking state (MPPT) curve, and dotted line is corresponding mechanical work under some wind speed
Rate-speed curves, CA curve are Variable power curve, Δ Pe1、ΔPe2With Δ Pe3Respectively electromagnetic power falls value, in order to improve
The secondary of mains frequency falls problem, makes the Wind turbines of double-fed blower exit frequency modulation by the method for designing Variable power curve
When electromagnetic power slowly fall along CA curve, until with MPPT aircraft pursuit course intersecting at A point.Using the revolving speed of Variable power curve
Wind turbines output power is run along the track A-B-C-A when comprehensive reset mode, and electromagnetic power falls when Wind turbines exit frequency modulation
Falling amplitude is Δ Pe1, greatly improve that mains frequency is secondary to fall problem.When Wind turbines are run at steady state, Wind turbines
It operates at the A point of MPPT maximum power point tracking state；When mains frequency reduces, Wind turbines carry out frequency modulation, and Wind turbines are defeated
Electromagnetic power out is increased to from the A point of MPPT maximum power point tracking state at the B point of maximal power tracing dotted state；Then from
Power support is carried out to operation at electromagnetic power C point along straight line at the B point of maximal power tracing dotted state, while Wind turbines turn
Speed is decreased to corresponding lower rotation speed limit at electromagnetic power C point；
Step 12. Wind turbines from the B point of maximal power tracing dotted state along straight line to run at electromagnetic power C point into
During the support of row power, when Wind turbines revolving speed reaches lower rotation speed limit, Wind turbines exit frequency modulation.As shown in Figure 2, it uses
Traditional maximal power tracing strategy carries out revolving speed recovery, and the electromagnetic power of Wind turbines will fall to E point, subsequent wind-powered electricity generation from C point
Unit output power carries out MPPT recovery along route A-B-C-E-A, and Wind turbines exit the frequency modulation moment, and electromagnetic power falls value and is
ΔPe1+ΔPe2, violent secondary fall occurs for mains frequency.
Step 2. designs Variable power curve；
Step 21. layout strategy structure chart is as shown in figure 3, work as Wind turbines rotational speed omegarDrop to lower rotation speed limit ωrminWhen,
Wind turbines exit frequency modulation, and Variable power curve coefficients K is arranged, and (1) calculates according to the following formula:
In formula, ωrFor Wind turbines revolving speed, ωrefFor speed reference, ωrminFor Wind turbines participate in frequency modulation when revolving speed.
Variable power curve coefficients K is set, makes Wind turbines in the incipient stage for exiting frequency modulation, the electricity of the output of Wind turbines
Magnetic power will not land too much, Wind turbines rotational speed omegarIt is gradually restored to ωref, Variable power curve coefficients gradually decrease to from 1
0, Variable power curve Pac gradually changes to 0 from negative.
Step 22. designs Variable power function, and (2) calculate according to the following formula:
In formula, f (t) is Variable power function, and t is time, the first parameter a, the second parameter b, third parameter t1, the 4th parameter
t2。
Step 23. is bent according to the formula (1) of Variable power curve coefficients and formula (2) the design Variable power of Variable power function
Line, (3) calculate according to the following formula:
Pac=K × f (t) ... (3)
In formula, PacFor Variable power curve.
Step 3. is based on Pareto algorithm and carries out the optimizing of Variable power parameter of curve.
Step 31. sets first by carrying out emulation testing to Variable power function f (t) according to the design of Variable power curve
Parameter a, the second parameter b, third parameter t1, the 4th parameter t2Value range, such as shown in (4)~(7):
-0.07≤a≤-0.06……(4)
0.1≤b≤0.3……(5)
t1=173 ... (6)
220≤t2≤230......(7)
Step 32. is by choosing third parameter t1It is 173 and in the first parameter, the value of the second parameter and the 4th parameter
The first parameter, the second parameter and the 4th parameter are chosen in range calculates different Variable power curves；
The secondary drop depth of mains frequency and revolving speed recovery time are as seeking when Wind turbines are exited frequency modulation by step 33.
Excellent target determines secondary drop depth and the revolving speed recovery time of mains frequency according to different Variable power curves, with power grid frequency
The secondary drop depth of rate is abscissa, revolving speed recovery time is that ordinate draws curve graph, is tied using Pareto algorithm
Fruit analysis, selects the parameter of Pareto optimality.
Specific embodiment:
Building is by conventional synchronous unit (250MVA/13.8kV) and certain model wind-powered electricity generation virtual synchronous machine (2MW/690V × 31)
The analogue system of composition carries out simulation analysis, in conjunction with parameter optimization method described above the following steps are included:
Step 1, maximal power tracing strategy carry out revolving speed recovery
In building comprising in the system simulation model including wind-powered electricity generation virtual synchronous machine and conventional synchronous unit, to based on turning
The secondary problem of falling of wind-powered electricity generation virtual synchronous unit frequency of sub- inertia control is emulated, as shown in figure 4, and extensive to classical MPPT
Compound formula carries out the frequency variation that system frequency modulation is not involved in system frequency modulation with wind-powered electricity generation and is studied and verified.
The optimization design of step 2, Variable power curve
Emulation testing is carried out for Variable power function f (t), Variable power curve is adjusted by changing function parameter value, is moving back
Variable power curve strategy, t is added in the frequency modulation moment out1=173, study the influence that the variation of each parameter value restores revolving speed.
The influence that the variation of b restores revolving speed in step 2.1, f (t) keeps a, t1And t2It is constant, parameter b in f (t) is taken
Different values, carries out simulation analysis, and the comparison difference of frequency variation is as shown in Figure 5；
The influence that the variation of a restores revolving speed in step 2.2, f (t) keeps b, t1And t2It is constant, parameter a in f (t) is taken
Different values, carries out simulation analysis, and the comparison difference of frequency variation is as shown in Figure 6；
T in step 2.3, f (t)2Variation influence that revolving speed is restored, keep a, b and t1It is constant, to parameter t in f (t)2
Different values is taken, simulation analysis is carried out, the comparison difference of frequency variation is as shown in Figure 7；
Step 3 is based on the optimizing of Pareto algorithm
Step 3.1, control object of the invention is parameter a, b and t in Variable power curve2, parameter area setting is not if
Equation (4), (5) and (7) setting, a certain number of parameters are taken in above parameter range, constitute different Variable power curves, no
With Variable power parameter of curve marked with numbers such as 1,2,3 ....Carry out emulation testing respectively to this.
Step 3.2, the present invention by wind-powered electricity generation frequency modulation the secondary drop depth of frequency and revolving speed recovery time when exiting frequency modulation
As Optimization goal.
Step 3.3, pass through the Variable power parameter of curve and Optimization goal of step 3.1 and the inner selection of step 3.2.For difference
Variable power parameter of curve, according to emulation or test result be with the secondary drop depth of frequency and revolving speed recovery time respectively
Abscissa and ordinate draw curve graph, carry out interpretation of result using Pareto algorithm, select the parameter of Pareto optimality.
In summary step, wind power generating set restore rank in revolving speed using rotor inertia control participation system primary frequency modulation
The secondary time for falling problem and revolving speed recovery process of section, there are coordination problems.
Present invention is not limited to the embodiments described above, without departing substantially from substantive content of the present invention, art technology
Any deformation, improvement, the replacement that personnel are contemplated that each fall within protection scope of the present invention.
Claims (4)
1. the multiobjective optimization control method that a kind of double-fed blower participates in system frequency modulation characterized by comprising
Step 1. maximal power tracing strategy Wind turbines carry out revolving speed recovery；
Step 2. designs Variable power curve；
Step 3. is based on Pareto algorithm and carries out the optimizing of Variable power parameter of curve.
2. the multiobjective optimization control method that double-fed blower according to claim 1 participates in system frequency modulation, which is characterized in that
Maximal power tracing strategy Wind turbines described in step 1. carry out revolving speed recovery
When step 11. Wind turbines are run at steady state, A point of the running of wind generating set in MPPT maximum power point tracking state
Place；When mains frequency reduces, Wind turbines carry out frequency modulation, and the electromagnetic power of Wind turbines output is from MPPT maximum power point tracking shape
It is increased at the A point of state at the B point of maximal power tracing dotted state；Again along straight line from the B point of maximal power tracing dotted state
Operation carries out power support to electromagnetic power C point, while Wind turbines revolving speed is decreased to corresponding revolving speed at electromagnetic power C point
Lower limit；
Step 12. Wind turbines are carried out along straight line to operation at electrical power power C point from the B point of maximal power tracing dotted state
During power support, when Wind turbines revolving speed reaches lower rotation speed limit, Wind turbines exit frequency modulation.
3. the multiobjective optimization control method that double-fed blower according to claim 1 participates in system frequency modulation, which is characterized in that
Variable power curve is designed described in step 2. includes:
Step 21. works as Wind turbines rotational speed omegarDrop to lower rotation speed limit ωrminWhen, Wind turbines exit frequency modulation, and Variable power is arranged
Curve coefficients K, (1) calculates according to the following formula:
In formula, ωrFor Wind turbines revolving speed, ωrefFor speed reference, ωrminFor Wind turbines participate in frequency modulation when revolving speed；
Step 22. designs Variable power function, and (2) calculate according to the following formula:
In formula, f (t) is Variable power function, and t is time, the first parameter a, the second parameter b, third parameter t1, the 4th parameter t2；
Step 23. designs Variable power curve according to the formula (1) of Variable power curve coefficients and the formula (2) of Variable power function, presses
It is calculated according to following formula (3):
Pac=K × f (t) ... (3)
In formula, PacFor Variable power curve.
4. the multiobjective optimization control method that double-fed blower according to claim 1 participates in system frequency modulation, which is characterized in that
Carrying out the optimizing of Variable power parameter of curve based on Pareto algorithm described in step 3. includes:
Step 31. sets the first parameter by carrying out emulation testing to Variable power function f (t) according to the design of Variable power curve
A, the second parameter b, third parameter t1, the 4th parameter t2Value range, such as shown in (4)~(7):
-0.07≤a≤-0.06......(4)
0.1≤b≤0.3......(5)
t1=173...... (6)
220≤t2≤230......(7)
Step 32. is by choosing third parameter t1It is 173 and within the scope of the first parameter, the second parameter and the 4th parameter value
It chooses the first parameter, the second parameter and the 4th parameter and calculates different Variable power curves；
The secondary drop depth of mains frequency and revolving speed recovery time are as optimizing mesh when Wind turbines are exited frequency modulation by step 33.
Mark, determines secondary drop depth and the revolving speed recovery time of mains frequency, according to different Variable power curves with mains frequency
Secondary drop depth is abscissa, revolving speed recovery time is that ordinate draws curve graph, carries out result point using Pareto algorithm
Analysis, selects the parameter of Pareto optimality.
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| CN113098057A (en) * | 2021-04-06 | 2021-07-09 | 广西大学 | Multi-target high-dimensional multi-fractional order optimization method for parameters of doubly-fed wind turbine |
| CN113098057B (en) * | 2021-04-06 | 2022-10-11 | 广西大学 | Multi-target high-dimensional multi-fractional order optimization method for parameters of double-fed fan |
| CN113193573A (en) * | 2021-04-30 | 2021-07-30 | 华中科技大学 | Fan rotating speed recovery control method, controller and wind power plant |
| CN113193573B (en) * | 2021-04-30 | 2022-05-20 | 华中科技大学 | Fan rotating speed recovery control method, controller and wind power plant |
| CN117154764A (en) * | 2023-10-30 | 2023-12-01 | 国网天津市电力公司电力科学研究院 | Frequency modulation control method and device and wind power system |
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Application publication date: 20191105 |