CN107979112A - A kind of blower control method, system, terminal and readable storage medium storing program for executing - Google Patents
A kind of blower control method, system, terminal and readable storage medium storing program for executing Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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Abstract
The present invention provides a kind of blower control method, system, terminal and readable storage medium storing program for executing, wherein, this method comprises the following steps：Gather whole wind power plant and be transported to the current time systematic parameter of power grid, the current time work state information of each Fans and system nominal frequency；According to the wind turbine power generating value of current time systematic parameter, current time work state information and each Fans subsequent time of system nominal rate-adaptive pacemaker；The power output value of each Fans subsequent time is exported according to wind turbine power generating value；The working status of each Fans subsequent time is controlled according to power output value.This control method is when system frequency changes, optimal power generating value and the optimal power output of each Fans are determined according to the work state information of each Fans, each Fans are made to each may participate in the adjusting of system, to meet the primary frequency modulation of system, ensure the stability of whole system, improve the accuracy of air-blower control.
Description
Technical field
The present invention relates to flexible DC transmission technology field, and in particular to a kind of blower control method, system, terminal and can
Read storage medium.
Background technology
Wind Power Development initial stage, due to scale is smaller, the research to it focuses primarily upon the modeling of separate unit Wind turbines and right
In the depression of order processing of unit model.As the increase of Wind turbines type and the continuous of wind power plant scale expand, to whole wind-powered electricity generation
Field, which is modeled, to be attracted attention.The modeling approach of Large Scale Wind Farm Integration is divided into two classes, and one kind is to use detailed model, separately
One kind is to use Equivalent Model.Wind power plant is considered as the generators of more low capacities, step-up transformer and substantial amounts of by detailed model
Connection circuit is added in electric system, is modeled in detail, this is the mathematical model of a high-order, not only increases power train
The exponent number of system, also increases the time needed for the time of Load flow calculation, especially time-domain-simulation, meanwhile, it can also cause many tight
The problems such as the problem of weight, the amendment of validity, data such as model.Based on this, Equivalent Model is suggested to description large-scale wind electricity
The various dynamic behaviours of field, the model are regarded wind power plant as an entirety and are carried out from influence of the whole wind power plant to power grid
Research.
The model of wind power plant at present, wind speed-wind power relation is divided into from wind turbine modeling according to application scenarios and function
Modeling, steady parameter model, dynamic model and transient Model etc..During a large amount of wind power integration systems, the control of electric system
Just become more and more important.Large Scale Wind Farm Integration dynamic model is mainly used for moving wind power plant under fluctuations in wind speed or grid fault conditions
The research of state behavior, simultaneously can be used for the research that wind power plant influences power grid dynamic steady state.Wind power plant dynamic model is mainly adopted
With simplified Equivalent Model, it is divided into unit equivalent method and multimachine equivalent method.
Most common method is that all generators of wind power plant are equivalent for one in unit equivalent method, takes single unit mechanical
Mechanical output input of the sum of the power as equivalent generator, lays particular emphasis on the research of parameter optimization, by using a such as most young waiter in a wineshop or an inn
Multiplication, genetic algorithm, simplex method etc. optimize the parameter or control parameter of algorithm certainty equivalents wind energy conversion system, accurately to simulate wind-powered electricity generation
Field overall dynamics process.Multimachine equivalent method mainly carries out clustering to the wind-powered electricity generation group of planes in wind power plant, its thought comes from electric power
Coherency method in system dynamic equivalent.In coherency method, according to the difference of generator's power and angle in dynamic process to a group of planes
Divided.And so-called generator rotor angle is not present in Wind turbines, therefore such research is mainly referred to by defining the cluster of Wind turbines
Mark, according to the difference of desired value to Wind turbines carry out clustering, per one kind Wind turbines can equivalence be a wind energy conversion system.
Most common method is according to wind speed, arrangement position, wake effect or mechanical transient mathematical model in multimachine equivalence
The indexs such as the characteristic root of equation group, classification polymerization is carried out to wind turbine.These method clear physical concepts, but there are the office of itself
It is sex-limited, when such as being modeled according to wind turbine arrangement position, a wind energy conversion system will be often equivalent to exhaust blower, and in actual wind power plant,
Even if it also likely to be present larger wind speed difference with exhaust blower；According to characteristic root to divide group's foundation, Equivalent Model is often only applicable in
In small interference analysis；These cause the accuracy of air-blower control low.
The content of the invention
Therefore, the technical problem to be solved in the present invention is to overcome air-blower control of the prior art not enough accurately to lack
Fall into.
For this reason, the present invention provides following technical solution：
First aspect present invention, there is provided a kind of blower control method, includes the following steps：Whole wind power plant is gathered to be transported to
The current time work state information and system volume of each Fans in the current time systematic parameter of power grid, the wind power plant
Determine frequency；According to the current time systematic parameter, the current time work state information and the system nominal frequency
Export the wind turbine power generating value of each Fans subsequent time；According to the wind turbine power generating value of each Fans subsequent time
Export the power output value of each Fans subsequent time；According to the power output value of each Fans subsequent time
Control the working status of each Fans subsequent time.
Alternatively, the systematic parameter includes system power output valve and system frequency output valve.
Alternatively, the work state information include fan rotor angular speed, the final angular speed of wind turbine, pitch angular speed,
The linear velocity and tip speed ratio of wind speed.
Alternatively, the working status of each Fans subsequent time is controlled according to maximal power tracing algorithm, it is described
The working status of subsequent time is the optimal output power state of wind turbine under maximal power tracing algorithm.
Alternatively, according to the current time systematic parameter, the current time work state information and the system
Rated frequency was exported in the step of wind turbine power generating value of each Fans subsequent time, including：Establish the whole wind-powered electricity generation
The farm model of field；By the current time systematic parameter, the current time work state information and the system volume
Determine to be handled in the frequency input farm model, obtain the wind turbine power generating value of each Fans subsequent time.
Alternatively, by making following object function obtain the wind turbine power generating value that optimal value obtains the subsequent time, then
Determine that wind turbine optimal power exports,
ui(k+1)=f [gmin|yi(k+1)-y*|, ui(k)]
Wherein, ui(k+1) it is the wind turbine power generating value of the i-th Fans subsequent time；ui(k) it was the i-th Fans current time
Wind turbine power generating value；yi(k+1) it is the system frequency of the i-th Fans subsequent time；y*For system nominal frequency.
Alternatively, exported according to the wind turbine power generating value of each Fans subsequent time under each Fans for the moment
In the step of power output value at quarter, including：Establish the transient Model of each Fans；The subsequent time wind turbine is gone out
Force value is inputted in the transient Model and handled, and obtains the power output value of each Fans subsequent time.
Alternatively, the transient Model is obtained by equation below,
Wherein, i is the i-th Fans；JrFor blower motor rotary inertia；JgFor draught fan impeller rotary inertia；PA, iTo be current
The power of fan of the i-th Fans of moment；ωR, iFor the fan rotor speed of the i-th Fans of current time；ωG, iFor current time
The final wind turbine angular speed of i-th Fans；For the fan rotor speed of the i-th Fans of subsequent time；For lower a period of time
Carve the final wind turbine angular speed of the i-th Fans；μ is the integral coefficient of wind turbine model PI controllers；K is wind turbine model PI controllers
Proportionality coefficient；θD, iFor the pitch angular speed of the i-th Fans of current time；For the propeller pitch angle of the i-th Fans of subsequent time
Speed；ρ is atmospheric density；R is fan blade radius；viFor the linear velocity of the wind speed of the i-th Fans of current time；For the wind energy utilization of the i-th Fans of current time, the as function of tip speed ratio and propeller pitch angle.
Second aspect of the present invention, there is provided a kind of blower fan control system, including：First acquisition module, for gathering whole wind
Electric field is transported to the current time work state information of each Fans in the current time systematic parameter of power grid, the wind power plant
And system nominal frequency；First processing module, for according to the current time systematic parameter, current time work shape
The wind turbine power generating value of each Fans subsequent time described in state information and the system nominal rate-adaptive pacemaker；Second processing mould
Block, for exporting the power of each Fans subsequent time according to the wind turbine power generating value of each Fans subsequent time
Output valve；3rd processing module, for according to described each of the power output value of each Fans subsequent time control
The working status of wind turbine subsequent time.
Alternatively, the first processing module includes：First processing units, for establishing the wind-powered electricity generation of the whole wind power plant
Field model；Second processing unit, for by the current time systematic parameter, the current time work state information and institute
State and handled in the system nominal frequency input farm model, the wind turbine for obtaining each Fans subsequent time goes out
Force value.
Alternatively, the Second processing module includes：3rd processing unit, for establishing the transient state of each Fans
Model；Fourth processing unit, is handled for the subsequent time wind turbine power generating value to be inputted in the transient Model, is obtained
The power output value of each Fans subsequent time.
Third aspect present invention, there is provided a kind of terminal, including：At least one processor；And with least one place
Manage the memory of device communication connection；Wherein, the memory storage has the instruction that can be performed by least one processor, institute
State instruction to be performed by least one processor, so that at least one processor performs any institute of first aspect present invention
The method stated.
Fourth aspect present invention, there is provided a kind of computer-readable recording medium, is stored thereon with computer instruction, the instruction
The step of first aspect present invention any the method is realized when being executed by processor.
Technical solution of the present invention, has the following advantages that：
The present invention provides a kind of blower control method, system, terminal and readable storage medium storing program for executing, wherein, this method includes
Following steps：Gather whole wind power plant and be transported to each Fans in the current time systematic parameter of power grid, the wind power plant
Current time work state information and system nominal frequency；According to the current time systematic parameter, the current time work
Make the wind turbine power generating value of each Fans subsequent time described in status information and the system nominal rate-adaptive pacemaker；According to described
The wind turbine power generating value of each Fans subsequent time exports the power output value of each Fans subsequent time；According to described
The power output value of each Fans subsequent time controls the working status of each Fans subsequent time.This controlling party
Method determines the optimal power generating value of each Fans according to the work state information of each Fans when system frequency changes
And optimal power output, each Fans is each may participate in the adjusting of system, to meet the primary frequency modulation of system, ensure whole system
The stability of system, improves the accuracy of air-blower control.
Brief description of the drawings
, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution of the prior art
Embodiment or attached drawing needed to be used in the description of the prior art are briefly described, it should be apparent that, in describing below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
Put, other attached drawings can also be obtained according to these attached drawings.
Fig. 1 is the flow chart of a specific example of blower control method in the embodiment of the present invention；
Fig. 2 is the flow chart of another specific example of blower control method in the embodiment of the present invention；
Fig. 3 is the schematic diagram of a specific example of the transient Model of wind electric field blower in the embodiment of the present invention；
Fig. 4 is the schematic diagram of a specific example of wind turbine Controlling model in the embodiment of the present invention；
Fig. 5 is the schematic diagram of effect of the Wind turbines to primary frequency modulation under overload situations in the embodiment of the present invention；
Fig. 6 is the schematic diagram of the power transmission capabilities of Wind turbines under overload situations in the embodiment of the present invention；
Fig. 7 is the block diagram of a specific example of blower fan control system in the embodiment of the present invention；
Fig. 8 is the structure diagram of terminal in the embodiment of the present invention.
Embodiment
Technical scheme is clearly and completely described below in conjunction with attached drawing, it is clear that described implementation
Example is part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill
Personnel's all other embodiments obtained without making creative work, belong to the scope of protection of the invention.
In the description of the present invention, it is necessary to explanation, term " " center ", " on ", " under ", "left", "right", " vertical ",
The orientation or position relationship of the instruction such as " level ", " interior ", " outer " be based on orientation shown in the drawings or position relationship, merely to
Easy to describe the present invention and simplify description, rather than instruction or imply signified device or element must have specific orientation,
With specific azimuth configuration and operation, therefore it is not considered as limiting the invention.In addition, term " first ", " second ",
" the 3rd " " is only used for description purpose, and it is not intended that instruction or hint relative importance.
In the description of the present invention, it is necessary to illustrate, unless otherwise clearly defined and limited, term " installation ", " phase
Even ", " connection " should be interpreted broadly, for example, it may be being fixedly connected or being detachably connected, or be integrally connected；Can
To be mechanical connection or be electrically connected；It can be directly connected, can also be indirectly connected by intermediary, can be with
It is the connection inside two elements, can is wireless connection or wired connection.For those of ordinary skill in the art
For, the concrete meaning of above-mentioned term in the present invention can be understood with concrete condition.
As long as in addition, technical characteristic involved in invention described below different embodiments non-structure each other
It can be combined with each other into conflict.
The present embodiment provides a kind of blower control method, flow chart are as shown in Figure 1.As the presently preferred embodiments, flow chart is such as
Shown in Fig. 2, include the following steps：
S1：Gather whole wind power plant and be transported to working as each Fans in the current time systematic parameter of power grid, wind power plant
Preceding moment work state information and system nominal frequency.In the present embodiment, current time systematic parameter includes current time
System power output valve and current time system frequency output valve；Certainly, in other embodiments, current time systematic parameter is also
It can include other parameters, such as voltage fluctuation, harmonic parameters, is rationally set as needed.In the present embodiment, currently
Moment work state information includes current time fan rotor angular speed, the final angular speed of current time wind turbine, current time paddle
Elongation speed, the linear velocity of current time wind speed and current time tip speed ratio；Certainly, in other embodiments, work shape
State information can also include other information, such as voltage, electric current, frequency analysis, reactive-load compensation, and rationally setting is as needed
Can.In the present embodiment, system nominal set of frequency is work frequency 50Hz；Certainly, in other embodiments, system nominal frequency
Rate may be set to be other values, such as 48Hz, 60Hz, rationally set as needed.
S2：It is each according to current time systematic parameter, current time work state information and system nominal rate-adaptive pacemaker
The wind turbine power generating value of Fans subsequent time.
In the present embodiment, as shown in Fig. 2, step S2 specifically includes step S21-S22：
S21：Establish the farm model of whole wind power plant.In the present embodiment, farm model uses model prediction control
Algorithm (Model Predictive Control, be abbreviated as MPC) processed establishes MPC models, is specifically distributed using wind power
Algorithm；Certainly, in other embodiments, the foundation of MPC models can also use other power distribution algorithms, such as be based on wind power
Wind power plant hybrid energy-storing capacity multiple-objection optimization collocation method of prediction etc., is rationally set as needed；Farm model
It can be other models, such as carry the distributed new system model of energy storage, rationally set as needed.
MPC controls are output power tracing problem, its control principle is：Discrete type MPC controller quantity of state, input quantity with
Relation between output quantity is represented by：
X (i+1)=Ax (i)+Bu (i)+Md (i)
Y (i)=Cx (i)+Du (i)
Wherein, x (i+1) is the system state amount of subsequent time；X (i) is the system state amount at current time；Y (i) is to work as
The system output quantity at preceding moment；U (i) is the system input quantity at current time；D (i) is the system disturbance amount at current time；A is
System state variables coefficient in MPC state equations；B is that system mode inputs coefficient of discharge in MPC state equations；C exports for system
The incidence coefficient of amount and system state amount；D is the incidence coefficient of system output quantity and system input quantity；M is
System disturbance coefficient of discharge.It can be obtained by above formula, according to the system input variable at current time and the system mode at current time
Amount can obtain the system state amount of subsequent time, afterwards, subsequent time be can obtain according to the system state amount of subsequent time
Output quantity, the effect of system input variable are so that output variable can follow the trail of its reference value.
S22：Current time systematic parameter, current time work state information and system nominal frequency are inputted into wind power plant
Handled in model, obtain the wind turbine power generating value of each Fans subsequent time.
Electric system primary frequency modulation, i.e. frequency f (s) and the relation of power P (s) are represented by：
Wherein, Δ f changes for power system frequency；Δ P is Power Systems changing value value；τ is system first differential
Coefficient；kfFor the First-order Integral coefficient of system；ωnFor electric system synchronous generator angular speed；δ is power-factor angle.
Using MPC models, above formula can be written as the form of the mathematic(al) representation of MPC models,
Wherein, Δ f exports for system mode, represents power system frequency change here；a1For system state variables factor；
xfFor system state variables；b1For Power Systems variation factor；Δ P is Power Systems changing value；a0For original state
Lower system state variables factor；b0For Power Systems variation factor under original state.
MPC controls are applied in the present embodiment, wherein u (i) is corresponded to per typhoon as the system input quantity at current time
Machine current time output power, y (i+1) correspond to the system frequency of subsequent time, x (i) as the system output quantity of subsequent time
System state amount as current time corresponds to wind power plant current time system power output valve i.e. wind power plant general power.
In the present embodiment, by making following object function obtain the wind turbine power generating value that optimal value obtains subsequent time, after
And determine the output of wind turbine optimal power,
ui(k+1)=f [gmin|yi(k+1)-y*|, ui(k)]
Wherein, ui(k+1) it is the wind turbine power generating value of the i-th Fans subsequent time；ui(k) it was the i-th Fans current time
Wind turbine power generating value；yi(k+1) it is the system frequency of the i-th Fans subsequent time；y*For system nominal frequency.Certainly, in other realities
Apply in example, the wind turbine power generating value of subsequent time can also be obtained by other formula, core is that the suitable input quantity of selection causes
Output quantity y (k) and reference value y0(k) deviation is minimum, i.e., cost Function Optimization, cost function are Δ y (k)=y (k)-y0(k),
Wherein, y (k) represents system frequency, y0(k) represent rated frequency, rationally set as needed.
S3：The power output of each Fans subsequent time is exported according to the wind turbine power generating value of each Fans subsequent time
Value.
In the present embodiment, as shown in Fig. 2, step S3 specifically includes step S31-S32：
S31：Establish the transient Model of each Fans.In the present embodiment, the control method of wind turbine transient Model is most
High-power tracking (Maximum Power Tracking, be abbreviated as MPT) control；Certainly, in other embodiments, wind turbine transient state
Model can also be other model control methods, and such as Model Algorithmic contral and dynamic matrix control, are rationally set as needed
.Transient Model is as shown in figure 3, including synchronous generator, generator-side converter, net side current transformer, medium/low pressure transformer
And medium voltage network, wind turbine model, aerodynamic model, dynamic model, maximum power tracing device, award setting and current transformer
Control.
Wind force model：Simulation step length is 5s and uses true measurement data, and data are handled with statistical way
And by being transported to after spline interpolation in different wind turbines；Aerodynamic model：Calculate and consider wind speed, propeller pitch angle angle and angle speed
Machine torque including the factors such as degree；Dynamic model：The model represents generator amature, and system complexity and with it is whole
The agreeing with property these two aspects of a control system has carried out game；Maximum power tracing device：Wattful power is inputted to grid side transverter
Rate, the power are got according in the look-up table that corresponding maximum power output is drawn out under generator friction speed；Paddle
Elongation controls：Limitation rotor velocity simultaneously ensures output power in normal range (NR), improves the validity of blade dynamics characteristic；
Current transformer controls：The current transformer control DC voltage and generator bus side voltage of generator side, power grid side converter control
System flows to the active and reactive power of power grid.The definite of active power under normal operating conditions comes from maximum power tracing device
(it also plays the effect of frequency support).In the present embodiment, to the voltage support of system, this factor is not considered wind turbine,
Thus reactive power input is also set to zero.
In view of there is the wind power plant of N number of wind turbine, each wind turbine includes a turbine, a generator and a unsteady flow
Device, transient Model is obtained by equation below,
Wherein, i is the i-th Fans；JrFor blower motor rotary inertia；JgFor draught fan impeller rotary inertia；PA, iTo be current
The power of fan of the i-th Fans of moment；ωR, iFor the fan rotor speed of the i-th Fans of current time；ωG, iFor current time
The final wind turbine angular speed of i-th Fans；For the fan rotor speed of the i-th Fans of subsequent time；For lower a period of time
Carve the final wind turbine angular speed of the i-th Fans；μ is the integral coefficient of wind turbine model PI controllers；K is wind turbine model PI controllers
Proportionality coefficient；θD, iFor the pitch angular speed of the i-th Fans of current time；For the propeller pitch angle of the i-th Fans of subsequent time
Speed.
Each power of wind turbine and several relations of wind speed are obtained by equation below,
Wherein, PA, iFor the power of fan of the i-th Fans of current time；ρ is atmospheric density；R is fan blade radius；vi
For the linear velocity of the wind speed of the i-th Fans of current time；Cp(βi, λi) be the i-th Fans of current time wind energy utilization, i.e.,
For tip speed ratio and the function of propeller pitch angle.
S32：Subsequent time wind turbine power generating value is inputted in transient Model and is handled, obtains each Fans subsequent time
Power output value.
S4：The work shape of each Fans subsequent time is controlled according to the power output value of each Fans subsequent time
State.In the present embodiment, in order to enable wind power plant gross output is optimal, it is contemplated that controlled under maximal power tracing algorithm
The working status of each Fans subsequent time, the working status of subsequent time are that can make the optimal separate unit wind of object function minimum
Acc power output state.
Due to the linear relationship between frequency variation and power variation, cost function may be configured as considering to be no more than
So that frequency variation is optimal under system constraints, i.e., so that wind power plant gross output is optimal, i.e.,Wherein, PG, iFor wind power plant gross output；ωG, iFor final wind turbine angular speed；uiAs input system
State variable, is the output power of separate unit wind turbine in MPC farm models；For wind power plant gross output reference value.
When frequency changes, can determine to meet maximum power tracing under wind speed by the power of the local each wind power plant of control, and
So that wind power plant gross output is optimal the primary frequency modulation then completed to power grid.
Above-mentioned blower control method, it is true according to the work state information of each Fans when system frequency changes
The optimal power generating value of fixed each Fans and optimal power output, make each Fans each may participate in the adjusting of system, to meet
The primary frequency modulation of system, ensures the stability of whole system, improves the accuracy of air-blower control.
Control method provided by the present invention is a kind of System design based on model technology, with by optimizing wind power plant per typhoon
Machine is contributed to reach the function to whole electric system primary frequency modulation.As shown in figure 4, control method is to be based on Kalman filtering
What device and model predictive control technique proposed, wherein, for Kalman filter to assess wind speed, this, which has also drawn, is based on each wind
The core of system is controlled under machine optimized control, is reached by making to include boundary conditions to be limited in interior cost function
Minimum, so as to find out the optimized working zone domain of each wind turbine and meet the realization to system primary frequency function.
The step of control method is realized be：1) whole wind power plant is regarded as an entirety, as shown in figure 4, its controlling party
Method includes core control (Central Control) and Partial controll (local Control), wherein, core control includes one
Platform core controller (MPC Controller) and a core Kalman filter (Central KF), Partial controll includes
Some part Kalman filter (local KF) and maximal power tracing control (MPT), each local Kalman filter
Control a Fans；2) adopting with wind energy, wind power plant be required to meet more and more system it is different require including
Control to active power, active power virtual value are assigned to each wind according to wind power plant control algolithm by core controller
(as input quantity) in machine；3) core controller receives rotor velocity measured value, propeller pitch angle angle and system frequency it is inclined
Poor (variable quantity) and the performance number that power grid is transported to by whole wind power plant.Award setting is independently controlled by PI controllers,
It causes angular speed with active power controller in normal range (NR)；4) control method of local fan and local Kalman filter
For maximum power tracing so that the power that power grid is transported under specific rotation speeds is optimal value.Under normal operating conditions, core
Controller does not come into operation, and core controller is each Fans input power reference value, and the value and power reference is in failure
When can make corresponding change；5) when system frequency changes, the change of input quantity is determined according to maximal power tracing signal
Measure to meet the primary frequency modulation of system.Input signal is transferred in each local fan simultaneously according to the result of calculation to wind speed afterwards
It need to ensure the stability of whole system.Can realizing when system disturbs for the control strategy, makes each Fans
Participate in the adjusting to system disturbance.When a large amount of wind power integration systems, the control of electric system just becomes more and more important.From another
On the one hand say, when system is disturbed the too low or excessive phenomenon of the frequency of occurrences, wind power plant can also be by sending wattful power
Rate regulating system frequency.A kind of optimal control based on model is studied, which make use of model predictive control system
And the judgement to landscape condition is effectively combined, to define the influence that wind turbine controls system frequency.Combine Kalman filtering
The different technologies such as device (KF) and Model Predictive Control (MPC) are predicting the change of power system load and each by following the trail of
The actual wind speed scope of the angle-determining of wind turbine propeller pitch angle, to find out the optimal working point of each wind turbine, then so that wind turbine exists
Adjusting system frequency under working limit service condition is not touched and reduces the change of system frequency.Core Kalman filter is to use
To judge the change of external load, and local Kalman filter is used for estimating wind speed and assesses the transient characterisitics of wind turbine.Pass through
Air-blower control model shown in Fig. 4 can further analyze wind power plant inner fan with being how to couple coordination, control between wind turbine
The output of active power processed, to improve the influence of disturbance or failure to system frequency.There is wind speed from Fig. 4 it can also be seen that working as
Or rotor velocity and propeller pitch angle these be not measurable directly out variable when, need to be obtained with reference to MPC by introducing KF
The estimate of variable and the estimate of external power variable quantity are stated, KF is act as when some parameters of system are not measurable directly
When, introduce an estimate, the system that the deviation of its estimate and actual value can be introduced into KF links is handled, final so that ginseng
Number estimate is with actual value error in tolerance interval.
The analogue simulation situation run by 20 Fans, it was confirmed that the flexibility of control method and validity, and confirm
System stability remains to be guaranteed when parameter changes.Fig. 5 is effect of the Wind turbines to primary frequency modulation under overload situations
Schematic diagram；Fig. 6 is the schematic diagram of the power transmission capabilities of Wind turbines under overload situations.From figure 5 it can be seen that in system
When 50MW overloads occurs suddenly in 30s, there is wind power plant MPC to coordinate wind power plant of the system of control than coordinating control between no wind turbine
Contribution to electric system primary frequency modulation is many less.Fig. 6 can be seen that possessing the wind turbine that wind power plant MPC coordinates to control is overloading
In the case of than do not possess coordinate control the more electric power of fan delivery, then reduce and abandon wind rate.
The present embodiment also provides a kind of blower fan control system, which is used for realization the embodiment in embodiment,
Carried out repeating no more for explanation.Term " module " as used below can realize the software and/or hardware of predetermined function
Combination.Although following embodiments described systems is preferably realized with software, hardware, or software and hardware
The realization of combination is also what may and be contemplated.
Blower fan control system provided in this embodiment is as shown in fig. 7, the first acquisition module 71, for gathering whole wind power plant
It is transported to the current time work state information and system of each Fans in the current time systematic parameter of power grid, wind power plant
Rated frequency；First processing module 72, for according to current time systematic parameter, current time work state information and system
Rated frequency exports the wind turbine power generating value of each Fans subsequent time；Second processing module 73, for according to each Fans
The wind turbine power generating value of subsequent time exports the power output value of each Fans subsequent time；3rd processing module 74, for root
The working status of each Fans subsequent time is controlled according to the power output value of each Fans subsequent time.
Wherein, first processing module 72 includes：First processing units 721, for establishing the wind power plant mould of whole wind power plant
Type；Second processing unit 722, for by current time systematic parameter, current time work state information and system nominal frequency
Handled in rate input farm model, obtain the wind turbine power generating value of each Fans subsequent time.
Second processing module 73 includes：3rd processing unit 731, for establishing the transient Model of each Fans；4th
Processing unit 732, is handled for subsequent time wind turbine power generating value to be inputted in transient Model, it is next to obtain each Fans
The power output value at moment.
The further function of above-mentioned modules describes same as the previously described embodiments, and details are not described herein.
Above-mentioned blower fan control system has the advantages that control accuracy is high.
The present embodiment provides a kind of terminal, as shown in figure 8, including：At least one processor 801, such as CPU (Central
Processing Unit, central processing unit), at least one communication interface 803, memory 804, at least one communication bus
802.Wherein, communication bus 802 is used for realization the connection communication between these components.Wherein, communication interface 803 can include aobvious
Display screen (Display), keyboard (Keyboard), optional communication interface 803 can also include the wireline interface of standard, wirelessly connect
Mouthful.Memory 704 can be high-speed RAM memory (Ramdom Access Memory, effumability random access memory),
Can also be non-labile memory (non-volatile memory), for example, at least a magnetic disk storage.Memory
804 optionally can also be at least one storage device for being located remotely from aforementioned processor 801.Wherein processor 801 can be tied
The described systems of Fig. 7 are closed, batch processing code are stored in memory 804, and processor 801 is called and stored in memory 804
Program code, for performing a kind of blower control method, that is, be used to perform the air-blower control as in Fig. 1 and Fig. 2 embodiments
Method.
Wherein, communication bus 802 can be Peripheral Component Interconnect standard (peripheral component
Interconnect, abbreviation PCI) bus or expanding the industrial standard structure (extended industry standard
Architecture, abbreviation EISA) bus etc..Communication bus 802 can be divided into address bus, data/address bus, controlling bus etc..
For ease of representing, only represented in Fig. 8 with a thick line, it is not intended that an only bus or a type of bus.
Wherein, memory 804 can include volatile memory (English：Volatile memory), such as arbitrary access
Memory (English：Random-access memory, abbreviation：RAM)；Memory can also include nonvolatile memory (English
Text：Non-volatile memory), such as flash memory (English：Flash memory), hard disk (English：hard disk
Drive, abbreviation：HDD) or solid state hard disc is (English：Solid-state drive, abbreviation：SSD)；Memory 804 can also wrap
Include the combination of the memory of mentioned kind.
Wherein, processor 801 can be central processing unit (English：Central processing unit, abbreviation：
CPU), network processing unit (English：Network processor, abbreviation：NP) or CPU and NP combination.
Wherein, processor 801 can further include hardware chip.Above-mentioned hardware chip can be application-specific integrated circuit
(English：Application-specific integrated circuit, abbreviation：ASIC), programmable logic device (English：
Programmable logic device, abbreviation：PLD) or it is combined.Above-mentioned PLD can be Complex Programmable Logic Devices
(English：Complex programmable logic device, abbreviation：CPLD), field programmable gate array (English：
Field-programmable gate array, abbreviation：FPGA), Universal Array Logic (English：generic array
Logic, abbreviation：GAL) or it is combined.
Alternatively, memory 804 is additionally operable to storage program instruction.Processor 801 can be instructed with caller, be realized such as this
Apply for the blower control method shown in Fig. 1 and Fig. 2 embodiments.
The embodiment of the present invention also provides a kind of computer-readable recording medium, and meter is stored with computer-readable recording medium
Calculation machine executable instruction, the computer executable instructions can perform the blower control method in above-mentioned any means embodiment.Its
In, the storage medium can be magnetic disc, CD, read-only memory (Read-Only Memory, ROM), random storage note
Recall body (Random Access Memory, RAM), flash memory (Flash Memory), hard disk (Hard Disk Drive,
Abbreviation：) or solid state hard disc (Solid-State Drive, SSD) etc. HDD；The storage medium can also include mentioned kind
The combination of memory.
It should be understood by those skilled in the art that, the embodiment of the present invention can be provided as method, system or computer program
Product.Therefore, the present invention can use the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Apply the form of example.Moreover, the present invention can use the computer for wherein including computer usable program code in one or more
The computer program production that usable storage medium is implemented on (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The present invention be with reference to according to the method for the embodiment of the present invention, the flow of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that it can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or square frame in journey and/or square frame and flowchart and/or the block diagram.These computer programs can be provided
The processors of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that the instruction performed by computer or the processor of other programmable data processing devices, which produces, to be used in fact
The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which produces, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, thus in computer or
The instruction performed on other programmable devices is provided and is used for realization in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a square frame or multiple square frames.
Obviously, the above embodiments are merely examples for clarifying the description, and the restriction not to embodiment.It is right
For those of ordinary skill in the art, can also make on the basis of the above description it is other it is various forms of change or
Change.There is no necessity and possibility to exhaust all the enbodiments.And the obvious change thus extended out or
Among changing still in the protection domain of the invention.
Claims (11)
1. a kind of blower control method, it is characterised in that include the following steps：
Gather whole wind power plant be transported to each Fans in the current time systematic parameter of power grid, the wind power plant it is current when
Carve work state information and system nominal frequency；
According to the current time systematic parameter, the current time work state information and the system nominal rate-adaptive pacemaker
The wind turbine power generating value of each Fans subsequent time；
The power that each Fans subsequent time is exported according to the wind turbine power generating value of each Fans subsequent time is defeated
Go out value；
The work shape of each Fans subsequent time is controlled according to the power output value of each Fans subsequent time
State.
2. blower control method according to claim 1, it is characterised in that the systematic parameter is exported including system power
Value and system frequency output valve.
3. blower control method according to claim 1, it is characterised in that the work state information includes fan rotor
The final angular speed of angular speed, wind turbine, pitch angular speed, the linear velocity of wind speed and tip speed ratio.
4. blower control method according to claim 1, it is characterised in that according to the control of maximal power tracing algorithm
The working status of each Fans subsequent time, the working status of the subsequent time are the wind turbine under maximal power tracing algorithm
Optimal output power state.
5. according to any blower control methods of claim 1-4, it is characterised in that joined according to the current time system
The wind of each Fans subsequent time described in several, described current time work state information and the system nominal rate-adaptive pacemaker
In the step of machine power generating value, including：
Establish the farm model of the whole wind power plant；
The current time systematic parameter, the current time work state information and the system nominal frequency are inputted into institute
State in farm model and handled, obtain the wind turbine power generating value of each Fans subsequent time.
6. blower control method according to claim 5, it is characterised in that by making following object function obtain optimal value
The wind turbine power generating value of the subsequent time is obtained, then determines the output of wind turbine optimal power,
ui(k+1)=f [gmin|yi(k+1)-y*|, ui(k)]
Wherein, ui(k+1) it is the wind turbine power generating value of the i-th Fans subsequent time；ui(k) it is the wind turbine at the i-th Fans current time
Power generating value；yi(k+1) it is the system frequency of the i-th Fans subsequent time；y*For system nominal frequency.
7. according to any blower control methods of claim 1-6, it is characterised in that next according to each Fans
The wind turbine power generating value at moment was exported in the step of power output value of each Fans subsequent time, including：
Establish the transient Model of each Fans；
The subsequent time wind turbine power generating value is inputted in the transient Model and is handled, it is next to obtain each Fans
The power output value at moment.
8. blower control method according to claim 7, it is characterised in that the transient state mould is obtained by equation below
Type,
<mrow>
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</msup>
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Wherein, i is the i-th Fans；JrFor blower motor rotary inertia；JgFor draught fan impeller rotary inertia；PA, iFor current time
The power of fan of i-th Fans；ωR, iFor the fan rotor speed of the i-th Fans of current time；ωG, iFor current time i-th
The final wind turbine angular speed of wind turbine；For the fan rotor speed of the i-th Fans of subsequent time；For subsequent time i-th
The final wind turbine angular speed of Fans；μ is the integral coefficient of wind turbine model PI controllers；K is the ratio of wind turbine model PI controllers
Example coefficient；θD, iFor the pitch angular speed of the i-th Fans of current time；For the pitch angular speed of the i-th Fans of subsequent time；
ρ is atmospheric density；R is fan blade radius；viFor the linear velocity of the wind speed of the i-th Fans of current time；CP(βi, λi) it is to work as
The wind energy utilization of preceding the i-th Fans of moment, is the function of tip speed ratio and propeller pitch angle.
A kind of 9. blower fan control system, it is characterised in that including：
First acquisition module, is transported in the current time systematic parameter of power grid, the wind power plant for gathering whole wind power plant
The current time work state information and system nominal frequency of each Fans；
First processing module, for according to the current time systematic parameter, the current time work state information and institute
State the wind turbine power generating value of each Fans subsequent time described in system nominal rate-adaptive pacemaker；
Second processing module, for exporting each Fans according to the wind turbine power generating value of each Fans subsequent time
The power output value of subsequent time；
3rd processing module, for controlling each Fans according to the power output value of each Fans subsequent time
The working status of subsequent time.
A kind of 10. terminal, it is characterised in that including：At least one processor；And connect with least one processor communication
The memory connect；Wherein, the memory storage has the instruction that can be performed by least one processor, and described instruction is by institute
State at least one processor to perform, so that at least one processor performs any side in the claims 1-8
Method.
11. a kind of computer-readable recording medium, is stored thereon with computer instruction, it is characterised in that the instruction is by processor
The step of any the method in the claims 1-8 is realized during execution.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108711885A (en) * | 2018-06-05 | 2018-10-26 | 重庆大学 | One kind cooperateing with method of estimation for field of wind-force state |
| CN109343448A (en) * | 2018-09-18 | 2019-02-15 | 国电联合动力技术有限公司 | A kind of programing system and its programmed method for blower integral control system |
| CN112529373A (en) * | 2020-11-26 | 2021-03-19 | 国网宁夏电力有限公司电力科学研究院 | Power grid frequency stability evaluation method under simultaneous fault of multiple loops of direct current |
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| CN103034764A (en) * | 2012-12-12 | 2013-04-10 | 上海市电力公司 | Modeling and simulation method for doubly-fed variable speed constant frequency wind generation set system |
| CN105048499A (en) * | 2015-07-24 | 2015-11-11 | 中国农业大学 | Wind power integration real-time scheduling method and device based on model prediction and control |
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| CN103034764A (en) * | 2012-12-12 | 2013-04-10 | 上海市电力公司 | Modeling and simulation method for doubly-fed variable speed constant frequency wind generation set system |
| CN105048499A (en) * | 2015-07-24 | 2015-11-11 | 中国农业大学 | Wind power integration real-time scheduling method and device based on model prediction and control |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108711885A (en) * | 2018-06-05 | 2018-10-26 | 重庆大学 | One kind cooperateing with method of estimation for field of wind-force state |
| CN109343448A (en) * | 2018-09-18 | 2019-02-15 | 国电联合动力技术有限公司 | A kind of programing system and its programmed method for blower integral control system |
| CN112529373A (en) * | 2020-11-26 | 2021-03-19 | 国网宁夏电力有限公司电力科学研究院 | Power grid frequency stability evaluation method under simultaneous fault of multiple loops of direct current |
| CN112529373B (en) * | 2020-11-26 | 2022-04-26 | 国网宁夏电力有限公司电力科学研究院 | Power grid frequency stability evaluation method under simultaneous fault of multiple loops of direct current |
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