CN105634016B - A kind of smooth method of exerting oneself of wind farm group and thermal power plant combined generating system - Google Patents
A kind of smooth method of exerting oneself of wind farm group and thermal power plant combined generating system Download PDFInfo
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- CN105634016B CN105634016B CN201410658816.3A CN201410658816A CN105634016B CN 105634016 B CN105634016 B CN 105634016B CN 201410658816 A CN201410658816 A CN 201410658816A CN 105634016 B CN105634016 B CN 105634016B
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Abstract
The present invention provides a kind of smooth method of exerting oneself of wind farm group and thermal power plant combined generating system, including：For each wind power plant in wind farm group, obtain the data acquisition system being made up of the Wind power forecasting value of the wind power plant, Wind power forecasting value in the corresponding data acquisition system of all wind power plants is added, the integrated data set being made up of the total generated output of wind farm group is obtained；Integrated data set is fitted using fitting of a polynomial algorithm, wind-powered electricity generation is obtained and smoothly exerts oneself formula, and calculate the smooth power generating value of wind-powered electricity generation；The smooth power generating value of wind-powered electricity generation and thermal power plant benchmark power generating value sum are calculated, total smooth power generating value is obtained；According to total smooth power generating value, the total generated output of wind farm group and thermal power plant minimum load value, EIAJ value, benchmark power generating value, the situation of actually exerting oneself in wind farm group and thermal power plant is determined.The smooth power curve that the present invention is obtained delayed will not be delayed, and ensure that power consumption is low, it is few to pollute, and output electric energy is steady.
Description
Technical field
The present invention relates to technical field of electric power, in particular it relates to a kind of wind farm group and thermal power plant cogeneration system
The smooth method of exerting oneself of system.
Background technology
Thermal power generation is the generation mode of current most important, technology maturation the most, and current thermal power generation generates electricity in China and led
Still occupy very big ratio in domain, but thermal power generation there is high energy consumption, it is seriously polluted the shortcomings of.
In recent years, the renewable and clean energy resource such as wind energy is more and more is applied to power field, wind farm group and firepower
Power plant combined generating system is a kind of electricity generation system for combining wind-power electricity generation and thermal power generation, and this electricity generation system is in wind energy
Increase the proportion of wind power supply when resource is sufficient, give full play to the advantage that wind generating technology energy consumption is low, pollution is small, in wind energy money
When source is not sufficient enough, the need for meeting operation of power networks using thermal power generation.Fig. 1 is wind farm group and thermal power plant cogeneration
The structural representation of system, multiple wind power plants and a thermal power plant access public electric wire net.
The problem of wind energy resources has randomness and fluctuation, cause wind-power electricity generation power have fluctuation there is provided
Electric energy to power network is just not steady enough, influences the even running of power network.In order to reduce this impact, it is necessary to be carried out to wind-power electricity generation
Power is stabilized, to reduce influence of the power swing to power network.
Northeast Electric Power University's aerospace, Yan Gangui et al. realize what wind power fluctuation was stabilized using first-order low-pass ripple algorithm
Control strategy.The control strategy is mainly filtered out to the operating high fdrequency component of wind power plant, reduces the rate of change of wind power,
Relatively stable power output is provided for power system, and energy-storage system is then the width for changing power output by its discharge and recharge
Value, makes the electric energy of injection power network more steady.But find that what this utilization first-order low-pass ripple algorithm obtained goes out in practical application
There is certain time-lag action in power smoothed curve, as shown in Fig. 2 thinner line is the independent power curve of wind-powered electricity generation, thicker line is
The wind obtained using this control strategy stores up smooth power curve, as ise apparent from FIG. 2, and wind stores up smooth power curve and lagged behind
The independent power curve of wind-powered electricity generation.Because this utilization first-order low-pass ripple algorithm realizes the control plan that wind power fluctuation is stabilized
Slightly it is to be weighted to obtain this filtering output value using this sampled value and last time filtering output value, specific formula is：
Y (n)=α X (n)+(1- α) Y (n-1)
In above formula, α is filter factor；X (n) is this sampled value；Y (n-1) is last time filtering output value；Y (n) is
This filtering output value.
It can be seen that, this utilization first-order low-pass ripple algorithm realizes the control strategy also Shortcomings that wind power fluctuation is stabilized
Part.
The content of the invention
The main purpose of the embodiment of the present invention is to provide a kind of wind farm group and thermal power plant combined generating system
Smooth method of exerting oneself, with solve prior art using first-order low-pass ripple algorithm stabilize obtained by wind power fluctuation exert oneself it is flat
The problem of there is delay phenomenon in sliding curve.
To achieve these goals, the embodiment of the present invention provides a kind of wind farm group and thermal power plant combined generating system
Smooth method of exerting oneself, including：
Step A, for each wind power plant in wind farm group, obtains the Wind power forecasting value group by the wind power plant
Into data acquisition system, by the corresponding data acquisition system of all wind power plants Wind power forecasting value be added, obtain by wind-powered electricity generation
The integrated data set of the total generated output composition of field group；
Step B, is fitted using fitting of a polynomial algorithm to the integrated data set, is obtained wind-powered electricity generation and is smoothly exerted oneself public affairs
Formula, and according to the wind-powered electricity generation smoothly exert oneself formula calculate the smooth power generating value of wind-powered electricity generation；
Step C, calculates the smooth power generating value of wind-powered electricity generation and thermal power plant benchmark power generating value sum, obtains always smoothly exerting oneself
Value；
Step D, it is minimum according to total smooth power generating value, the total generated output of the wind farm group and thermal power plant
Power generating value, EIAJ value, benchmark power generating value, determine the situation of actually exerting oneself in wind farm group and thermal power plant；
The step A is specially：
Step A1, for each wind power plant in wind farm group, obtains the Wind power forecasting value by the wind power plant
The data acquisition system P of compositionj：
Pj={ (pji,ti) | j=1,2..., k；I=1,2..., m }
Step A2, the Wind power forecasting value in the corresponding data acquisition system of all wind power plants is added, obtained by wind
The integrated data set P of the total generated output composition of electric field group：
P={ (pi,ti) | i=1,2..., m }
Wherein, k is the wind power plant sum in wind farm group, and j is wind power plant sequence number, and m is the corresponding data of each wind power plant
Set, the number of samples of the integrated data set, i are sample sequence number, PjFor the corresponding data acquisition system of j-th of wind power plant,
pjiFor the Wind power forecasting value of j-th of wind power plant, P is integrated data set, piFor the total generated output of wind farm group, ti
For pji、piThe corresponding time；
The step B is specifically included：
Step B1, according to the total generated output p of wind farm group in the integrated data set PiFluctuation tendency, it is determined that described
Wind-powered electricity generation is smoothly exerted oneself the exponent number n of formula, and wherein n is natural number；
Step B2, multinomial of the fitting with the exponent number n：
Wherein, a0~anFor multinomial coefficient；
Step B3, calculates the multinomialWith the total generated output of the wind farm group
piSquared difference and Err：
Step B4, when calculating the squared difference and Err using least square method for minimum value, multinomial coefficient a0~an
Corresponding occurrence α0~αn；
Step B5, utilizes the occurrence α0~αnWind-powered electricity generation is built smoothly to exert oneself formula X (t)：
X (t)=αntn+αn-1tn-1+…+α1t+α0；
Wherein, t is the time；
T=t is worked as in step B6, calculatingiWhen, the wind-powered electricity generation is smoothly exerted oneself formula X (t) value：
Wherein, X (ti) it is the smooth power generating value of wind-powered electricity generation；
The step C is specially：
Calculate the smooth power generating value X (t of wind-powered electricity generationi) and thermal power plant benchmark power generating value sum, obtain total smooth power generating value：
Y(ti)=X (ti)+Pdefault
Wherein, Y (ti) it is total smooth power generating value, PdefaultFor thermal power plant benchmark power generating value；
The step D is specifically included：
Step D1, calculates total smooth power generating value Y (ti) and the total generated output p of wind farm groupiDifference DELTA pi：
Δpi=Y (ti)-pi；
Step D2, makes wind farm group according to the total generated output p of the wind farm groupiExert oneself；
Step D3, if the difference DELTA piLess than or equal to thermal power plant minimum load value PminWhen, make thermal power plant
According to its minimum load value PminExert oneself；If the difference DELTA piMore than or equal to thermal power plant EIAJ value PmaxWhen, order
Thermal power plant is according to its EIAJ value PmaxExert oneself；If the difference DELTA piMore than thermal power plant minimum load value PminAnd
Less than thermal power plant EIAJ value PmaxWhen, thermal power plant is made according to the difference DELTA piExert oneself.
By means of above-mentioned technical proposal, the present invention is entered by the total generated output of wind farm group in interval of being exerted oneself to whole plan
Row fitting of a polynomial, the smooth power curve finally given delayed will not be delayed, and enter compared to using first-order low-pass ripple algorithm
The method that the fluctuation of sector-style electrical power is stabilized, the present invention has the smooth effect of exerting oneself more optimized, meanwhile, the present invention will be to wind power plant
The result and exerting oneself for thermal power plant that group's progress power swing is stabilized are added together as overall to control the reality of cogeneration
Border is exerted oneself situation, to ensure that whole system power consumption is low, pollution is few, and is supplied to the electric energy of power network steady.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, embodiment will be described below
In required for the accompanying drawing that uses be briefly described, it should be apparent that, drawings in the following description are only some of the present invention
Embodiment, for those of ordinary skill in the art, on the premise of not paying creative work, can also be attached according to these
Figure obtains other accompanying drawings.
Fig. 1 is the structural representation of wind farm group and thermal power plant combined generating system that background of invention is provided
Figure；
Fig. 2 is the work(carried out using first-order low-pass ripple algorithm before and after wind-powered electricity generation fluctuation is stabilized that background of invention is provided
Rate curve comparison schematic diagram；
Fig. 3 is that the smooth method flow of exerting oneself of wind farm group and thermal power plant combined generating system that the present invention is provided shows
It is intended to；
Fig. 4 is the smooth front and rear power curve contrast schematic diagram of exerting oneself that the present invention is provided.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
The present invention provides a kind of smooth method of exerting oneself of wind farm group and thermal power plant combined generating system, such as Fig. 3 institutes
Show, this method includes：
Step S1, for each wind power plant in wind farm group, obtains the Wind power forecasting value by the wind power plant
The data acquisition system of composition, the Wind power forecasting value in the corresponding data acquisition system of all wind power plants is added, obtained by wind
The integrated data set of the total generated output composition of electric field group.
Step S2, is fitted using fitting of a polynomial algorithm to integrated data set, is obtained wind-powered electricity generation and is smoothly exerted oneself formula,
And formula of smoothly being exerted oneself according to wind-powered electricity generation calculates the smooth power generating value of wind-powered electricity generation.
Step S3, calculates the smooth power generating value of wind-powered electricity generation and thermal power plant benchmark power generating value sum, obtains total smooth power generating value.
Step S4, according to total smooth power generating value, the total generated output of wind farm group and thermal power plant minimum load value,
EIAJ value, benchmark power generating value, determine the situation of actually exerting oneself in thermal power plant.
The detailed process of the above method is illustrated with formula form below：
Step S1 specifically includes following two step：
Step S11, for each wind power plant in wind farm group, obtains the Wind power forecasting value by the wind power plant
The data acquisition system P of compositionj：
Pj={ (pji,ti) | j=1,2..., k；I=1,2..., m }
The step can obtain Wind power forecasting value from the power prediction system SCADA of each wind power plant, i.e.,
Power prediction system SCADA exerts oneself the performance number of interval prediction of individually exerting oneself to the wind power plant in plan.
Step S12, the Wind power forecasting value in the corresponding data acquisition system of all wind power plants is added, obtained by wind
The integrated data set P of the total generated output composition of electric field group：
P={ (pi,ti) | i=1,2..., m }
Wherein, k is the wind power plant sum in wind farm group, and j is wind power plant sequence number, and m is the corresponding data of each wind power plant
Set, the number of samples of integrated data set, i are sample sequence number, PjFor the corresponding data acquisition system of j-th of wind power plant, pjiFor
The Wind power forecasting value of j-th of wind power plant, P is integrated data set, piFor the total generated output of wind farm group, tiFor
pji、piThe corresponding time.
Wherein, the total generated output p of wind farm groupiFor tiThe wind-power electricity generation power of each wind power plant is pre- in moment wind farm group
Measured value pjiSum, integrated data set P, which is contained, entirely plans the interval total generated output p of wind farm group that exerts oneselfi。
It is rapid that step S2 specifically includes following steps：
Step S21, according to the total generated output p of wind farm group in integrated data set PiFluctuation tendency, determine wind-powered electricity generation put down
The exponent number n of power formula is skidded off, wherein n is natural number.
Preferably, the step is performed according to following specific steps：
Step S211, according to the total generated output p of wind farm group in integrated data set PiFluctuation tendency, it is determined that smoothly going out
Force curve waveform；
Step S212, according to smooth power curve waveform, determines that wind-powered electricity generation is smoothly exerted oneself the exponent number n of formula.
For example, when smooth power curve waveform is straight line, determine that wind-powered electricity generation is smoothly exerted oneself the exponent number n=1 of formula；When smooth
When power curve waveform is parabola, determine that wind-powered electricity generation is smoothly exerted oneself the exponent number n=2 of formula.
Step S22, multinomial of the fitting with exponent number n：
anti n+an-1ti n-1+…+a1ti+a0；
Wherein, a0~anFor multinomial coefficient.
Step S23, evaluator anti n+an-1ti n-1+…+a1ti+a0With the total generated output p of wind farm groupiDifference put down
Side and Err：
Step S24, during using least square method calculating difference quadratic sum Err for minimum value, multinomial coefficient a0~anCorrespondence
Occurrence α0~αn。
Preferably, the step according to calculating in the following way：
Respectively to multinomial coefficient a0~anPartial derivative is sought, equation below group is obtained：
Above equation group is solved, multinomial coefficient a is obtained0~anCorresponding occurrence α0~αn。
Step S25, utilizes occurrence α0~αnWind-powered electricity generation is built smoothly to exert oneself formula X (t)：
X (t)=αntn+αn-1tn-1+…+α1t+α0；
Wherein, t is the time；
T=t is worked as in step S26, calculatingiWhen, wind-powered electricity generation is smoothly exerted oneself formula X (t) value：
Wherein, X (ti) it is the smooth power generating value of wind-powered electricity generation.
The total generated output of wind farm group in interval specifically, the step is exerted oneself using fitting of a polynomial algorithm to whole plan
Data are fitted, and obtained smooth power generating value is the result after being stabilized to the power swing of wind farm group, due to not being
Current filtering output value is calculated using adjacent filtering output value as existing utilization first-order low-pass ripple algorithm, therefore
The smooth power curve (the corresponding curve of formula of smoothly exerting oneself) that the present invention is obtained delayed will not be delayed, and smooth effect is more excellent
Change.
Dotted line show certain wind farm group and exerted oneself in whole plan the total generated output p of wind farm group in interval in Fig. 4iComposition
Curve, obtained after smoothly being exerted oneself using the method that provides of the present invention such as smooth power curve shown in solid in Fig. 4, it is logical
Cross contrast to understand, the smooth power curve obtained after smoothly exerting oneself reduces power swing, and in the absence of delay phenomenon.
What is studied due to the present invention is the combined generating system that is collectively constituted by wind farm group and thermal power plant, the system
Should try one's best reduction thermal power generation and use wind-power electricity generation, to ensure that power consumption is low, pollution is few, but thermal power plant minimum load again
Zero can not possibly be reduced to, this is accomplished by that wind farm group will be carried out result (smooth power generating value) and the thermal power generation that power swing is stabilized
Exerting oneself for factory is added together as overall to control the situation of actually exerting oneself of cogeneration, to ensure the low, dirt of whole system power consumption
Dye is few, and is supplied to the electric energy of power network steady.
Step S3 is specially：
Calculate the smooth power generating value X (t of wind-powered electricity generationi) and thermal power plant benchmark power generating value sum, obtain total smooth power generating value：
Y(ti)=X (ti)+Pdefault
Wherein, Y (ti) it is total smooth power generating value, PdefaultIt is thermal power plant acquiescence for thermal power plant benchmark power generating value
In the case of power generating value, the benchmark power generating value (can need to consider the machine in thermal power plant according to the concrete condition in thermal power plant
Group characteristic) setting.
Step S4 specifically includes following steps：
Step S41, calculates total smooth power generating value Y (ti) and the total generated output p of wind farm groupiDifference DELTA pi：
Δpi=Y (ti)-pi；
Step S42, makes wind farm group according to the total generated output p of wind farm groupiExert oneself；
Step S43, if difference DELTA piLess than or equal to thermal power plant minimum load value PminWhen, make thermal power plant by
According to its minimum load value PminExert oneself；
If difference DELTA piMore than or equal to thermal power plant EIAJ value PmaxWhen, make thermal power plant maximum according to it
Power generating value PmaxExert oneself；
If difference DELTA piMore than thermal power plant minimum load value PminAnd less than thermal power plant EIAJ value PmaxWhen,
Thermal power plant is made according to difference DELTA piExert oneself.
In above step, thermal power plant EIAJ value PmaxWith minimum load value PminIt is that thermal power plant can be defeated respectively
The peak power and minimum power gone out, (can need the unit for considering thermal power plant special according to the concrete condition in thermal power plant
Property) setting.Generally, Pmin＜ Pdefault＜ Pmax。
Preferably, thermal power plant minimum load value Pmin, EIAJ value Pmax, benchmark power generating value PdefaultWith as follows
Relation：
For example, as thermal power plant minimum load value Pmin=500MW, EIAJ value Pmax=1000MW, benchmark is exerted oneself
Value Pdefault=750MW.
By step 4, whole wind farm group will exert oneself with thermal power plant combined generating system according to following strategy：
As total smooth power generating value Y (ti) and the total generated output p of wind farm groupiDifference DELTA piLess than or equal to thermal power generation
Factory minimum load value PminWhen, as long as illustrating that thermal power plant exports electric energy according to its minimum power, along with defeated with wind farm group
The electric energy sum gone out, it is possible to meet total smooth power generating value；
As total smooth power generating value Y (ti) and the total generated output p of wind farm groupiDifference DELTA piMore than or equal to thermal power generation
Factory EIAJ value PmaxWhen, illustrate thermal power plant needs according to its maximum power output electric energy, along with defeated with wind farm group
The electric energy sum gone out, can just substantially meet total smooth power generating value；
As total smooth power generating value Y (ti) and the total generated output p of wind farm groupiDifference DELTA piIt is minimum more than thermal power plant
Power generating value PminAnd less than thermal power plant EIAJ value PmaxWhen, illustrate that thermal power plant is suitably exerted oneself (difference DELTA pi), then
Plus the electric energy sum exported with wind farm group, you can meet total smooth power generating value；
In the case of any of the above, wind farm group is all according to the total generated output p of wind farm groupiExert oneself, i.e., according to its reality
The peak power that can be exported is exerted oneself, and its main cause is：The smooth power generating value X (t of wind-powered electricity generationi) it is generated output p total to wind farm groupi
Carry out the result after fluctuation is stabilized, X (ti) and piDiffer and little, and total smooth power generating value Y (ti)=X (ti)+Pdefault, firepower
Power plant benchmark power generating value Pdefault＞ 0, therefore, total smooth power generating value Y (ti) always it is more than the total generated output p of wind farm groupi,
In this case, individually exporting electric energy (even if being exerted oneself according to its peak power that can actually export) by wind farm group can not expire
The smooth power generating value Y (t of Football Associationi) requirement, in addition it is also necessary to thermal power plant exports electric energy and supplemented, based on consume energy it is low, pollute few
Principle, reduces the ratio of thermal power generation as far as possible, it is necessary to which wind farm group is exerted oneself according to its peak power that can actually export, that is, is pressed
According to the total generated output p of wind farm groupiExert oneself.
Particular embodiments described above, has been carried out further in detail to the purpose of the present invention, technical scheme and beneficial effect
Describe in detail it is bright, should be understood that the foregoing is only the present invention specific embodiment, the guarantor being not intended to limit the present invention
Scope is protected, within the spirit and principles of the invention, any modification, equivalent substitution and improvements done etc. should be included in this
Within the protection domain of invention.
Claims (6)
1. a kind of smooth method of exerting oneself of wind farm group and thermal power plant combined generating system, it is characterised in that including：
Step A, for each wind power plant in wind farm group, obtains what is be made up of the Wind power forecasting value of the wind power plant
Data acquisition system, the Wind power forecasting value in the corresponding data acquisition system of all wind power plants is added, obtained by wind farm group
The integrated data set of total generated output composition；
Step B, is fitted using fitting of a polynomial algorithm to the integrated data set, is obtained wind-powered electricity generation and is smoothly exerted oneself formula,
And according to the wind-powered electricity generation smoothly exert oneself formula calculate the smooth power generating value of wind-powered electricity generation；
Step C, calculates the smooth power generating value of wind-powered electricity generation and thermal power plant benchmark power generating value sum, obtains total smooth power generating value；
Step D, according to total smooth power generating value, the total generated output of the wind farm group and the thermal power plant minimum load
Value, EIAJ value, benchmark power generating value, determine the situation of actually exerting oneself in wind farm group and thermal power plant；
The step A is specially：
Step A1, for each wind power plant in wind farm group, acquisition is made up of the Wind power forecasting value of the wind power plant
Data acquisition system Pj：
Pj={ (pji,ti) | j=1,2..., k；I=1,2..., m }
Step A2, the Wind power forecasting value in the corresponding data acquisition system of all wind power plants is added, obtained by wind power plant
The integrated data set P of the total generated output composition of group：
P={ (pi,ti) | i=1,2..., m }
<mrow>
<msub>
<mi>p</mi>
<mi>i</mi>
</msub>
<mo>=</mo>
<munderover>
<mi>&Sigma;</mi>
<mrow>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>k</mi>
</munderover>
<msub>
<mi>p</mi>
<mi>ji</mi>
</msub>
</mrow>
Wherein, k be wind farm group in wind power plant sum, j be wind power plant sequence number, m be the corresponding data acquisition system of each wind power plant,
The number of samples of the integrated data set, i is sample sequence number, PjFor the corresponding data acquisition system of j-th of wind power plant, pjiFor
The Wind power forecasting value of j wind power plant, P is integrated data set, piFor the total generated output of wind farm group, tiFor pji、pi
The corresponding time；
The step B is specifically included：
Step B1, according to the total generated output p of wind farm group in the integrated data set PiFluctuation tendency, determine the wind-powered electricity generation
The exponent number n of smooth formula of exerting oneself, wherein n are natural number；
Step B2, multinomial of the fitting with the exponent number n：
anti n+an-1ti n-1+…+a1ti+a0；
Wherein, a0~anFor multinomial coefficient；
Step B3, calculates the multinomial anti n+an-1ti n-1+…+a1ti+a0With the total generated output p of the wind farm groupiDifference
It is worth quadratic sum Err：
<mrow>
<mi>Err</mi>
<mo>=</mo>
<munderover>
<mi>&Sigma;</mi>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>0</mn>
</mrow>
<mi>m</mi>
</munderover>
<msup>
<mrow>
<mo>(</mo>
<msub>
<mi>a</mi>
<mi>n</mi>
</msub>
<msup>
<msub>
<mi>t</mi>
<mi>i</mi>
</msub>
<mi>n</mi>
</msup>
<mo>+</mo>
<msub>
<mi>a</mi>
<mrow>
<mi>n</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msub>
<msup>
<msub>
<mi>t</mi>
<mi>i</mi>
</msub>
<mrow>
<mi>n</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msup>
<mo>+</mo>
<mo>.</mo>
<mo>.</mo>
<mo>.</mo>
<mo>+</mo>
<msub>
<mi>a</mi>
<mn>1</mn>
</msub>
<msub>
<mi>t</mi>
<mi>i</mi>
</msub>
<mo>+</mo>
<msub>
<mi>a</mi>
<mn>0</mn>
</msub>
<mo>-</mo>
<msub>
<mi>p</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
<mo>;</mo>
</mrow>
Step B4, when calculating the squared difference and Err using least square method for minimum value, multinomial coefficient a0~anCorrespondence
Occurrence α0~αn；
Step B5, utilizes the occurrence α0~αnWind-powered electricity generation is built smoothly to exert oneself formula X (t)：
X (t)=αntn+αn-1tn-1+…+α1t+α0；
Wherein, t is the time；
T=t is worked as in step B6, calculatingiWhen, the wind-powered electricity generation is smoothly exerted oneself formula X (t) value：
X(ti)=αnti n+αn-1ti n-1+…+α1ti+α0
Wherein, X (ti) it is the smooth power generating value of wind-powered electricity generation；
The step C is specially：
Calculate the smooth power generating value X (t of wind-powered electricity generationi) and thermal power plant benchmark power generating value sum, obtain total smooth power generating value：
Y(ti)=X (ti)+Pdefault
Wherein, Y (ti) it is total smooth power generating value, PdefaultFor thermal power plant benchmark power generating value；
The step D is specifically included：
Step D1, calculates total smooth power generating value Y (ti) and the total generated output p of wind farm groupiDifference DELTA pi：
Δpi=Y (ti)-pi；
Step D2, makes wind farm group according to the total generated output p of the wind farm groupiExert oneself；
Step D3, if the difference DELTA piLess than or equal to thermal power plant minimum load value PminWhen, make thermal power plant according to
Its minimum load value PminExert oneself；If the difference DELTA piMore than or equal to thermal power plant EIAJ value PmaxWhen, make firepower
Power plant is according to its EIAJ value PmaxExert oneself；If the difference DELTA piMore than thermal power plant minimum load value PminAnd be less than
Thermal power plant EIAJ value PmaxWhen, thermal power plant is made according to the difference DELTA piExert oneself.
2. according to the method described in claim 1, it is characterised in that the step B1 is specifically included：
According to the total generated output p of wind farm group in integrated data set PiFluctuation tendency, it is determined that smooth power curve waveform；
According to the smooth power curve waveform, determine that the wind-powered electricity generation is smoothly exerted oneself the exponent number n of formula.
3. method according to claim 2, it is characterised in that when the smooth power curve waveform is straight line, it is determined that
The wind-powered electricity generation is smoothly exerted oneself the exponent number n=1 of formula.
4. method according to claim 2, it is characterised in that when the smooth power curve waveform is parabola, really
The fixed wind-powered electricity generation is smoothly exerted oneself the exponent number n=2 of formula.
5. according to the method described in claim 1, it is characterised in that the step B4 is specifically included：
Respectively to multinomial coefficient a0~anPartial derivative is sought, equation below group is obtained：
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Above equation group is solved, multinomial coefficient a is obtained0~anCorresponding occurrence α0~αn。
6. according to the method described in claim 1, it is characterised in that the thermal power plant minimum load value Pmin, EIAJ
Value Pmax, benchmark power generating value PdefaultWith following relation：
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<mn>2</mn>
</mfrac>
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</mrow>
2
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