CN104537204B - The appraisal procedure of cogeneration power network apoplexy power consumption digestion capability - Google Patents
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Abstract
A kind of appraisal procedure of cogeneration power network apoplexy power consumption digestion capability, comprises the following steps：To lasting thermic load curve and continue electric load curve progress sliding-model control, obtain the lasting thermic load curve after lasting electric load curve and discretization after discretization；Each cogeneration units are arranged production with minimum thermal power, on-load on the lasting thermic load curve after discretization, and with corresponding minimum electrical power on-load on the lasting electric load curve after discretization；Each non-heat supply fired power generating unit is arranged production with minimum electrical power, on-load on the lasting electric load curve after discretization；Select the minimum cogeneration units of electric heating incremental raio, on-load on the lasting thermic load curve after discretization, the lasting thermic load curve after discretization is booked；Arrangement wind-powered electricity generation on-load on the lasting electric load curve after discretization, the lasting electric load curve after discretization are also booked, and obtain wind electricity digestion electricity and wind electricity digestion rate.
Description
Technical field
The invention belongs to Operation of Electric Systems and field of new energy technologies, more particularly to one kind is in cogeneration power network apoplexy
Power consumption consumes the appraisal procedure of ability.
Background technology
As installed capacity of wind-driven power constantly increases, the ratio that wind-electricity integration output accounts for gross capability is continuously increased.Due to power supply
Wind-abandoning phenomenon caused by flexibility deficiency occurs repeatedly.Data is shown according to statistics, and the wind power output of the most wind power base of China is adjusted
Anti- load peak-shaving capability is presented in peak character, adds net load peak-valley difference, adds the difficulty of Unit Combination arrangement.Especially supplying
Warm season, cogeneration units are run in a manner of " electricity determining by heat " so that peak-load regulating scarce capacity, cause to abandon wind problem very
It is prominent.Wind electricity digestion problem turns into one of the main reason for restricting Wind Power Development.
Current domestic wind-powered electricity generation collect the power supply architecture in area with based on coal electricity, thermoelectricity ratio it is high, with quick regulation energy
The characteristics of unit of power is few, power supply flexibility deficiency.By taking certain northern regional power grid as an example, coal Denso machine accounts for total installed capacity
74.7%, and account for about the 70% of peak load in warm season, cogeneration units start capacity.In warm season cogeneration units
Under the method for operation of " electricity determining by heat ", due to the coupled relation between thermal power plant unit heat/electricity, it forces electricity to contribute and occupied largely
Base lotus, huge challenge is brought to peak-load regulating, thus wind-powered electricity generation online space is limited, wind electricity digestion capability deficiency, especially with night electricity
Load valley is very.Therefore, how to handle the reciprocal effect between coupled relation and electricity/heat/wind between electricity/heat is heating
The most important thing of season wind electricity digestion capability assessment.
However, at present due to lacking the reality effectively assessed particularly with warm season wind electricity digestion capability power system
With method, in order to ensure power system security, most of dispatchers can select to abandon wind in warm season, cause to waste.
The content of the invention
In summary, the cogeneration power network apoplexy power consumption digestion capability of wind is abandoned it is necessory to provide a kind of can reduce
Appraisal procedure.
A kind of appraisal procedure of cogeneration power network apoplexy power consumption digestion capability, comprises the following steps：Step S10 is right
Load data carries out processing and forms lasting electric load curve and continue thermic load curve, to lasting thermic load curve and continues electric negative
Lotus curve carries out sliding-model control, obtains the lasting thermic load curve after lasting electric load curve and discretization after discretization；
Step S20, each cogeneration units are arranged production with minimum thermal power, and band heat is negative on the lasting thermic load curve after discretization
Lotus, and with corresponding minimum electrical power active load on the lasting electric load curve after discretization；Step S30, each non-heat supply
Fired power generating unit is arranged production with minimum electrical power, active load on the lasting electric load curve after discretization；Step S40,
In the not yet fully loaded each cogeneration units of thermal power, the minimum cogeneration units of electric heating incremental raio are selected, after discretization
Lasting thermic load curve on band thermic load, and with corresponding electrical power increment band on the lasting electric load curve after discretization
Electric load, the lasting thermic load curve after discretization are booked；And step S50, arrange wind-powered electricity generation holding after discretization
Active load on continuous electric load curve, the lasting electric load curve after discretization are also booked, and obtain wind electricity digestion electricity
And wind electricity digestion rate.
Relative to prior art, the appraisal procedure of cogeneration power network apoplexy power consumption digestion capability provided by the invention,
By carrying out sliding-model control to lasting electric load curve and lasting thermic load curve, and it is based on minimum electric heating ratio, Neng Gouding
Long time scale wind-powered electricity generation electricity digestion capability during amount is assessed, reduces and abandons wind, improve the digestion capability of wind-powered electricity generation, so as to save
The energy.
Brief description of the drawings
Fig. 1 is the flow chart of the appraisal procedure of cogeneration power network apoplexy power consumption digestion capability provided by the invention.
Fig. 2 (a), (b) are respectively electricity/thermic load curve of a certain longer time period of warm season provided by the invention.
Fig. 3 (a), (b) are that cogeneration units provided by the invention are arranged production with minimum thermal power, in lasting thermic load
Band thermic load on curve, and with corresponding arrangement figure of the minimum electrical power in active load on lasting electric load curve.
Fig. 4 is that non-thermal power plant unit provided by the invention is arranged production with minimum electrical power, powered negative on electric load curve
The load arrangement figure of lotus.
Fig. 5 (a), (b) are respectively provided by the invention to allow minimum electric heating incremental raio in the principle based on minimum hotspot stress
Unit undertakes thermic load until heat/electric load arrangement figure that thermic load curve is booked.
Fig. 6 is the probability point for the wind-powered electricity generation that the basis provided by the invention statistical disposition of wind Power Processing sequence progress for many years is drawn
Butut.
Fig. 7 (a), (b) are respectively that wind-powered electricity generation provided by the invention all dissolves and had the load arrangement figure for abandoning landscape condition.
Fig. 8 (a), (b) are respectively that three-dimensional electricity/thermic load of a certain longer time period of warm season provided by the invention is bent
Face.
Fig. 9 is that wind Power Processing sequence carries out the three of the wind power output that statistical disposition is drawn to basis provided by the invention for many years
Tie up probability distribution.
Figure 10 is wind-powered electricity generation electricity consumption rate of the northern China regional power system provided by the invention in each period.
Embodiment
Further stated in detail below according to Figure of description and in conjunction with specific embodiments to technical scheme.
Also referring to Fig. 1 and Fig. 2, the cogeneration power network apoplexy power consumption consumption energy that first embodiment of the invention provides
The appraisal procedure of power mainly comprises the following steps：
Step S10, processing is carried out to load data and forms lasting electric load curve and continues thermic load curve, to lasting heat
Load curve and lasting electric load curve carry out sliding-model control, after obtaining lasting electric load curve and discretization after discretization
Lasting thermic load curve；
Step S20, each cogeneration units are arranged production with minimum thermal power, the lasting thermic load curve after discretization
Upper band thermic load, and with corresponding minimum electrical power band thermic load on the lasting electric load curve after discretization；
Step S30, each non-heat supply fired power generating unit are arranged production with minimum electrical power, and the lasting electric load after discretization is bent
Active load on line；
Step S40, in the not yet fully loaded each cogeneration units of thermal power, select the thermoelectricity connection that electric heating incremental raio is minimum
Unit is produced, band thermic load on the lasting thermic load curve after discretization, and with corresponding electrical power increment after discretization
Continue active load on electric load curve, the lasting thermic load curve after discretization is booked；And
Step S50, arrangement wind-powered electricity generation active load on the lasting electric load curve after discretization, holding after discretization
Continuous electric load curve is booked, and obtains wind electricity digestion electricity and wind electricity digestion rate.
In step slo, the load data includes electric load data and thermic load data, and is represented and continued with curve G
Thermic load curve, it can be represented with curve F and continue electric load curve.Lasting thermic load curve G can be entered by Δ H of thermic load step-length
Row discretization, and to lasting electric load curve F can also electric load step-length be that Δ H carries out discretization, or other step-lengths can
To be selected according to the required accuracy.In the case where step-length is consistent, the precision of assessment can be improved and reduce difficulty in computation.
In step S20, also referring to Fig. 3, each cogeneration units are arranged production with minimum thermal power, in lasting heat
Band thermic load on load curve, and with corresponding minimum electrical power active load on lasting electric load curve, have：
In formula, GsRepresent and continue hot power curve；FsRepresent the curve that persistently generates electricity；M is cogeneration units quantity；Himin
For each cogeneration units minimum thermal power；PiminFor each cogeneration units minimum electrical power.Cogeneration of heat and power machine is corrected with this
The output state of group, is obtained：
Pi=Pi min, i=1,2 ..., M
Hi=Hi min, i=1,2 ..., M (3)
H in formulaiFor the hot output state of i-th cogeneration units, PiFor the electric output state of i-th fired power generating unit.
In step s 30, also referring to Fig. 4, arrange non-heat supply fired power generating unit to be arranged production with minimum electrical power, have：
In formula, N is fired power generating unit sum in system；M is cogeneration units quantity；PjminFor jth platform fired power generating unit
Minimum power.
The output state of non-heat supply fired power generating unit is corrected with this, is had：
Pi=Pi min, i=N-M+1 ..., N (5).
In step s 40, please refer to fig. 5, arranging cogeneration units in the case of electric output increment minimum,
The remaining thermic load curve that continues is booked.Before this, continue thermic load curve and be arranged into nhΔHPlace, nhFor：
Continue electric load curve and be arranged into PhPlace, PhFor：
The minimum cogeneration units of selection electric heating incremental raio can be entered according to the mode for asking for minimum electric heating incremental raio as follows
OK：
In formula, γ is current minimum electric heating incremental raio；I corresponding to γ is the minimum unit of current electric heating incremental raio；
DiFor cogeneration units range of operation.
Allow the above-mentioned cogeneration units on-load chosen：
Gs((nh+1) Δ H)=G ((nh+1)ΔH) (9)
Fs(Ph+ γ Δ H)=G ((nh+1)ΔH) (10)
Meanwhile correct cogeneration units output state and correct nh、Ph：
nh=nh+1 (13)
Ph=Ph+γΔH (14)
(9)~(14) are repeated, are stopped when meeting equation below：
In formula, HmaxFor the maximum heating load value on lasting thermic load curve G.
In step s 50, in lasting generating curve FsAnd the region continued between electric load curve F carries out arrangement wind-powered electricity generation.
The Wind turbines of different conditions active load on lasting electric load curve, for output state i Wind turbines, its output is
Pwi, probability pwi, then its electric load E undertakenwiFor：
In formula, PmaxIt is the maximum power value for continuing electric load curve；T is research cycle.
Sum up Wind turbines institute is stateful, then there is the wind electricity digestion electricity to be：
If wind-powered electricity generation maximum electricity is Ew, can be calculated by equation below：
Then wind electricity digestion rate μ is：
Wherein, NwWind power status number.
Referring to Fig. 6, wind power probability distribution is formed according to wind-powered electricity generation history data or wind speed profile, and to it
Sliding-model control is carried out, obtains the wind power probability distribution after discretization, similar, the wind power probability distribution can press
Sliding-model control is carried out according to step delta H, can also be selected according to the required accuracy.By the wind power probability after gained discretization
Distributed model is equivalent to multimode machine supervising group model, wind power status number NwWind power probability distribution as after discretization
Discrete hop count, for state i, probability PwiDiscrete segment corresponding to wind power probability distribution after as corresponding discretization
Probability.
When arranging wind-powered electricity generation production, wind-powered electricity generation all dissolves and has the situation for abandoning wind as shown in Figure 7.In the figure 7, when i state wind
For electrical power when each curve is as shown in (a) after arranging production, wind-powered electricity generation can obtain whole consumptions, and consumption region is the A in (a)；And
When each curve is as shown in (b) after i state wind powers are arranged production, wind-powered electricity generation, which exists, abandons wind, and consumption region is the A in (b), is abandoned
Wind region is then B.
A precondition is implied in analysis above：Electricity/thermic load, wind power output are separate certainly in each moment.
Furthermore, it is contemplated that always respectively there is peak on daytime to electric load at night, and morning is relatively low；It is small that daytime often occurs in wind power output,
Situation big at night；And thermoelectricity load also has its corresponding rule.Thus, can be by going out in electricity/hot lasting load curve, wind-powered electricity generation
Consider daily at times, two dimensional model to be expanded into threedimensional model in power probability Distribution Model.
Further, it is contemplated that daily electricity/hot lasting load curve, wind power output probability distribution are different at different moments, institute
The appraisal procedure of the cogeneration power network apoplexy power consumption digestion capability of second embodiment of the invention offer is stated mainly including as follows
Step：
Step S10 ', daily wind power probability distribution is divided into NtThe individual period, the load data of each period is entered
Row processing forms lasting electric load curve and continues thermic load curve, to lasting thermic load curve and continues the progress of electric load curve
Sliding-model control, obtain the lasting thermic load curve after lasting electric load curve and discretization after discretization；
Step S20 ', each cogeneration units are arranged production with minimum thermal power, and the lasting thermic load after discretization is bent
Band thermic load on line, and with corresponding minimum electrical power active load on the lasting electric load curve after discretization；
Step S30 ', each non-heat supply fired power generating unit are arranged production with minimum electrical power, the lasting electric load after discretization
Active load on curve；
Step S40 ', in the not yet fully loaded each cogeneration units of thermal power, select the minimum thermoelectricity of electric heating incremental raio
Coproduction unit, band thermic load on the lasting thermic load curve after discretization, and with corresponding electrical power increment after discretization
Lasting electric load curve on active load, the lasting thermic load curve after discretization is booked；And
Step S50 ', wind-powered electricity generation active load on the lasting electric load curve after discretization, continues after discretization
Electric load curve is booked, and obtains wind electricity digestion electricity and wind electricity digestion rate.
Second embodiment of the invention provide appraisal procedure and first embodiment it is essentially identical, its difference is, by
Electricity/hot lasting load curve, wind power output probability distribution consider daily at times, two dimensional model to be expanded into threedimensional model.
In step S10 ', wind power output probability distribution, lasting electricity/thermic load curve are divided into NtThe individual period, and with j tables
Show.Then (1)~(16) formula is modified to：
Pij=Pi min, i=N-M+1 ..., N, j=1,2 ..., N, (24)
Gs(nhj+ 1) Δ H, j)=G (nhj+ 1) Δ H, j), j=1,2 ..., N, (28)
Fs(Phj+γjΔ H, j)=G ((nhj+ 1) Δ H, j), j=1,2 ..., Nt (29)
nhj=nhj+ 1, j=1,2 ..., Nt (32)
Phj=Phj+γjΔ H, j=1,2 ..., Nt (33)
In formula, HjmaxContinue the maximum heating load value on thermic load curve for time j.
In formula, pwijRepresent in period j, wind power PwijProbability；PjmaxFor period j lasting electric load curve
Maximum power value.
Emulated to obtain lasting electricity/thermic load curved surface as shown in Figure 8, Figure 9, wind power output according to above-mentioned same method
Three probability distribution.In Fig. 8, period unit is 1 quarter, i.e., 15 minutes；And in Fig. 9, period unit is hour.It can be seen that
Electricity/thermic load curve and wind power output, which are distributed in, in a few days stronger statistical rule, it is contemplated that this point, calculating can be allowed to tie
Fruit is more reasonable.
After amendment, threedimensional model can enter according to former step to power system in warm season wind-powered electricity generation electricity digestion capability
Row is more effectively assessed.
Embodiment one
Warm season wind-powered electricity generation electricity digestion capability appraisal procedure of the present invention based on polynary Stochastic Production Simulation is based on
Northern China regional power system warm season electricity/thermic load data are reduced by control with changed scale, and emulation cycle is 30 days.In a few days
When hop count be Nt=96, i.e. Period Length is quarter.Calculating comprises the following steps that：
(1) illustrated by taking moment point 1 as an example, according to step S10, obtain first electricity as shown in Figure 8/thermic load curved surface with
And electricity as shown in table 1/thermic load key parameter, wind-powered electricity generation three-dimensional probability distribution as shown in Figure 9 is then drawn, with step delta H
Carry out sliding-model control；
The northern China regional power system of table 1 is putting into practice the electricity in the cycle/thermic load key parameter
(2) according to step S20, consideration conventional power unit is fired power generating unit, and wherein No. 1-5 is cogeneration units, and No. 6 are pure
Solidifying unit.It is mostly steam-extracting type unit in view of northern China cogeneration units, thus the fired power generating unit of this paper examples is set to and taken out
Vapour formula, the parameter of fired power generating unit are as shown in table 2.Each cogeneration units are arranged production with minimum thermal power, in lasting thermic load
On-load on curve, and with corresponding minimum electrical power on-load on lasting electric load curve；
The fired power generating unit parameter of the northern China regional power system of table 2
(3) according to step S30, each non-heat supply fired power generating unit is arranged production with minimum electrical power, in lasting electric load curve
Upper on-load；
(4) according to step S40, cogeneration units are arranged in the case of electric output increment minimum, will be remaining lasting
Thermic load curve is booked.
(5) according to step S50, the data drawn according to above step calculate the wind electricity digestion electricity of moment point 1 to dissolve
Rate.Said process is repeated 96 times, the wind-powered electricity generation electricity consumption knot of the emulation whole cycle as shown in table 3 and Figure 10 can be obtained
Fruit.
The wind-powered electricity generation electricity consumption result of the northern China regional power system whole cycle of table 3
The appraisal procedure of cogeneration power network apoplexy power consumption digestion capability provided by the invention, by lasting electric load
Curve and lasting thermic load curve carry out sliding-model control, establish the functional Optimized model based on polynary Stochastic Production Simulation,
And based on minimum electric heating than equivalent electric-heat function method, being capable of long time scale wind-powered electricity generation electricity consumption energy in qualitative assessment
Power, reduce and abandon wind, improve the digestion capability of wind-powered electricity generation, so as to save the energy.
In addition, those skilled in the art can also make other changes in spirit of the invention, these are according to present invention essence certainly
The change that god is made, it should all be included in scope of the present invention.
Claims (10)
1. a kind of appraisal procedure of cogeneration power network apoplexy power consumption digestion capability, comprises the following steps：
Step S10, processing is carried out to load data and forms lasting electric load curve and continues thermic load curve, to lasting thermic load
Curve and lasting electric load curve carry out sliding-model control, obtain holding after lasting electric load curve and discretization after discretization
Continuous thermic load curve；
Step S20, each cogeneration units are arranged production with minimum thermal power, band on the lasting thermic load curve after discretization
Thermic load, and with corresponding minimum electrical power active load on the lasting electric load curve after discretization；
Step S30, each non-heat supply fired power generating unit are arranged production with minimum electrical power, on the lasting electric load curve after discretization
Active load；
Step S40, in the not yet fully loaded each cogeneration units of thermal power, select the minimum cogeneration of heat and power machine of electric heating incremental raio
Group, band thermic load on the lasting thermic load curve after discretization, and continued with corresponding electrical power increment after discretization
Active load on electric load curve, the lasting thermic load curve after discretization are booked；And
Step S50, arrangement wind-powered electricity generation active load on the lasting electric load curve after discretization, the lasting electricity after discretization
Load curve is also booked, and obtains wind electricity digestion electricity and wind electricity digestion rate.
2. the appraisal procedure of cogeneration power network apoplexy power consumption digestion capability as claimed in claim 1, it is characterised in that with
Curve G, which is represented, continues thermic load curve, is represented with curve F and continues electric load curve, lasting thermic load curve G is walked with thermic load
A length of Δ H carries out discretization, and also carries out discretization by Δ H of electric load step-length to lasting electric load curve F.
3. the appraisal procedure of cogeneration power network apoplexy power consumption digestion capability as claimed in claim 2, it is characterised in that heat
Produce the lasting hot power curve G of unit in Electricity FederationsWith lasting generating curve FsMeet：
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In formula, M is cogeneration units quantity；HiminFor each cogeneration units minimum thermal power；PiminFor each cogeneration of heat and power machine
The minimum electrical power of group, P are the electrical power power generating value of cogeneration units.
4. the appraisal procedure of cogeneration power network apoplexy power consumption digestion capability as claimed in claim 3, it is characterised in that heat
Electricity Federation production unit output state be：
Pi=Pimin, i=1,2 ..., M
Hi=Himin, i=1,2 ..., M；
H in formulaiFor the hot output state of i-th cogeneration units, PiFor the electric output state of i-th fired power generating unit.
5. the appraisal procedure of cogeneration power network apoplexy power consumption digestion capability as claimed in claim 4, it is characterised in that non-
In the state of heat supply fired power generating unit is arranged production with minimum electrical power, lasting generating curve FsMeet：
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In formula, N is fired power generating unit sum in system；M is cogeneration units quantity；PjminFor the least work of jth platform fired power generating unit
Rate；
Then in the state of non-heat supply fired power generating unit is arranged production with minimum electrical power, continue the arrangement of thermic load curve to nhΔH
Place, nhFor：
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Continue electric load curve and be arranged into PhPlace, PhFor：
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nhRefer to the step number of thermic load curve scheduling processes, PhRefer to thermic load curve and be arranged into nhElectric load is satisfied during step number
Performance number.
6. the appraisal procedure of cogeneration power network apoplexy power consumption digestion capability as claimed in claim 5, it is characterised in that choosing
Select the minimum cogeneration units of electric heating incremental raio, and on the lasting thermic load curve after discretization band thermic load include it is as follows
Step：
Ask for the minimum cogeneration units of electric heating incremental raio：
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<mo>=</mo>
<mi>min</mi>
<mo>{</mo>
<mfrac>
<mrow>
<msub>
<mi>dP</mi>
<mi>i</mi>
</msub>
</mrow>
<mrow>
<msub>
<mi>dH</mi>
<mi>i</mi>
</msub>
</mrow>
</mfrac>
<mo>,</mo>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mn>...</mn>
<mi>M</mi>
<mo>|</mo>
<mrow>
<mo>(</mo>
<msub>
<mi>P</mi>
<mi>i</mi>
</msub>
<mo>+</mo>
<mfrac>
<mrow>
<msub>
<mi>dP</mi>
<mi>i</mi>
</msub>
</mrow>
<mrow>
<msub>
<mi>dH</mi>
<mi>i</mi>
</msub>
</mrow>
</mfrac>
<mi>&Delta;</mi>
<mi>H</mi>
<mo>,</mo>
<msub>
<mi>H</mi>
<mi>i</mi>
</msub>
<mo>+</mo>
<mi>&Delta;</mi>
<mi>H</mi>
<mo>)</mo>
</mrow>
<mo>&Element;</mo>
<msub>
<mi>D</mi>
<mi>i</mi>
</msub>
<mo>}</mo>
<mo>;</mo>
</mrow>
In formula, γ is current minimum electric heating incremental raio；I corresponding to γ is the minimum unit of current electric heating incremental raio；DiFor heat
Produce unit operation scope in Electricity Federation；
The above-mentioned cogeneration units i chosen is allowed with thermic load：
Gs((nh+ 1) Δ H)=G ((nh+1)ΔH)；
Fs(Ph+ γ Δ H)=G ((nh+1)ΔH)；
Meanwhile cogeneration units output state is modified and corrects nh、Ph：
nh=nh+1；
Ph=Ph+γΔH；
Said process is repeated, is stopped when meeting equation below：
<mrow>
<msub>
<mi>n</mi>
<mi>h</mi>
</msub>
<mo>=</mo>
<mfrac>
<msub>
<mi>H</mi>
<mi>max</mi>
</msub>
<mrow>
<mi>&Delta;</mi>
<mi>H</mi>
</mrow>
</mfrac>
<mo>;</mo>
</mrow>
2
In formula, HmaxFor the maximum heating load value on lasting thermic load curve G.
7. the appraisal procedure of cogeneration power network apoplexy power consumption digestion capability as claimed in claim 6, it is characterised in that from
When lasting electric load curve after dispersion is booked, wind electricity digestion electricity and wind electricity digestion rate calculate in the following manner：
For wind power output state i Wind turbines, its output is Pwi, probability pwi, then its electric load E undertakenwiFor：
<mrow>
<msub>
<mi>E</mi>
<mrow>
<mi>w</mi>
<mi>i</mi>
</mrow>
</msub>
<mo>=</mo>
<msub>
<mi>p</mi>
<mrow>
<mi>w</mi>
<mi>i</mi>
</mrow>
</msub>
<mi>T</mi>
<msubsup>
<mo>&Integral;</mo>
<mn>0</mn>
<msub>
<mi>P</mi>
<mi>max</mi>
</msub>
</msubsup>
<mo>&lsqb;</mo>
<mi>min</mi>
<mrow>
<mo>(</mo>
<mi>F</mi>
<mo>(</mo>
<mi>P</mi>
<mo>)</mo>
<mo>,</mo>
<msub>
<mi>F</mi>
<mi>s</mi>
</msub>
<mo>(</mo>
<mrow>
<mi>P</mi>
<mo>-</mo>
<msub>
<mi>P</mi>
<mrow>
<mi>w</mi>
<mi>i</mi>
</mrow>
</msub>
</mrow>
<mo>)</mo>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>F</mi>
<mi>s</mi>
</msub>
<mrow>
<mo>(</mo>
<mi>P</mi>
<mo>)</mo>
</mrow>
<mo>&rsqb;</mo>
<mi>d</mi>
<mi>P</mi>
<mo>;</mo>
</mrow>
In formula, PmaxIt is the maximum power value for continuing electric load curve；T is research cycle；
The Wind turbines of different conditions are summed up, then have the wind electricity digestion electricity to be：
<mrow>
<msub>
<mi>E</mi>
<mi>a</mi>
</msub>
<mo>=</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>N</mi>
<mi>w</mi>
</msub>
</munderover>
<msub>
<mi>E</mi>
<mrow>
<mi>w</mi>
<mi>i</mi>
</mrow>
</msub>
<mo>;</mo>
</mrow>
If wind-powered electricity generation maximum electricity is Ew, then：
<mrow>
<msub>
<mi>E</mi>
<mi>w</mi>
</msub>
<mo>=</mo>
<mi>T</mi>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>N</mi>
<mi>w</mi>
</msub>
</munderover>
<msub>
<mi>p</mi>
<mrow>
<mi>w</mi>
<mi>i</mi>
</mrow>
</msub>
<msub>
<mi>P</mi>
<mrow>
<mi>w</mi>
<mi>i</mi>
</mrow>
</msub>
<mo>;</mo>
</mrow>
Then wind electricity digestion rate μ is：
<mrow>
<mi>&mu;</mi>
<mo>=</mo>
<mfrac>
<msub>
<mi>E</mi>
<mi>a</mi>
</msub>
<msub>
<mi>E</mi>
<mi>w</mi>
</msub>
</mfrac>
<mo>;</mo>
</mrow>
Wherein, NwWind power status number.
8. the appraisal procedure of cogeneration power network apoplexy power consumption digestion capability as claimed in claim 1, it is characterised in that root
Wind power probability distribution is formed according to wind-powered electricity generation history data or wind speed profile, and sliding-model control is carried out to it, is obtained
Wind power probability distribution after discretization, the wind power probability Distribution Model after gained discretization is equivalent to multimode machine supervising
Group model, wind power status number NwThe discrete hop count of wind power probability distribution as after discretization, for state i, generally
Rate pwiThe probability of discrete segment corresponding to wind power probability distribution after as corresponding discretization.
9. the appraisal procedure of cogeneration power network apoplexy power consumption digestion capability as claimed in claim 1, it is characterised in that will
Daily wind power probability distribution is divided into NtThe individual period, each period is represented with j, then the lasting heat of cogeneration units goes out
Force curve curve GsWith lasting generating curve FsMeet：
<mrow>
<msub>
<mi>G</mi>
<mi>s</mi>
</msub>
<mrow>
<mo>(</mo>
<mi>n</mi>
<mi>&Delta;</mi>
<mi>H</mi>
<mo>,</mo>
<mi>j</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mi>G</mi>
<mrow>
<mo>(</mo>
<mi>n</mi>
<mi>&Delta;</mi>
<mi>H</mi>
<mo>,</mo>
<mi>j</mi>
<mo>)</mo>
</mrow>
<mo>,</mo>
<mn>0</mn>
<mo>&le;</mo>
<mi>n</mi>
<mo>&le;</mo>
<mfrac>
<mrow>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>M</mi>
</munderover>
<msub>
<mi>H</mi>
<mrow>
<mi>i</mi>
<mi>min</mi>
</mrow>
</msub>
</mrow>
<mrow>
<mi>&Delta;</mi>
<mi>H</mi>
</mrow>
</mfrac>
<mo>,</mo>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mn>...</mn>
<mo>,</mo>
<msub>
<mi>N</mi>
<mi>t</mi>
</msub>
<mo>;</mo>
</mrow>
<mrow>
<msub>
<mi>F</mi>
<mi>s</mi>
</msub>
<mrow>
<mo>(</mo>
<mi>P</mi>
<mo>,</mo>
<mi>j</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mi>F</mi>
<mrow>
<mo>(</mo>
<mi>P</mi>
<mo>,</mo>
<mi>j</mi>
<mo>)</mo>
</mrow>
<mo>,</mo>
<mn>0</mn>
<mo>&le;</mo>
<mi>P</mi>
<mo>&le;</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>M</mi>
</munderover>
<msub>
<mi>P</mi>
<mrow>
<mi>i</mi>
<mi>min</mi>
</mrow>
</msub>
<mo>,</mo>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mn>...</mn>
<mo>,</mo>
<msub>
<mi>N</mi>
<mi>t</mi>
</msub>
<mo>;</mo>
</mrow>
In formula, M is cogeneration units quantity；HiminFor each cogeneration units minimum thermal power；PiminFor each cogeneration of heat and power machine
The minimum electrical power of group, P are the electrical power value that system is satisfied.
10. the appraisal procedure of cogeneration power network apoplexy power consumption digestion capability as claimed in claim 9, it is characterised in that
For j period output states i Wind turbines, its output is Pwij, probability pwij, T is research cycle；Then the Wind turbines are held
The electric load E of loadiFor：
<mrow>
<msub>
<mi>E</mi>
<mi>i</mi>
</msub>
<mo>=</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>N</mi>
<mi>t</mi>
</msub>
</munderover>
<msub>
<mi>p</mi>
<mrow>
<mi>w</mi>
<mi>i</mi>
<mi>j</mi>
</mrow>
</msub>
<mi>T</mi>
<msubsup>
<mo>&Integral;</mo>
<mn>0</mn>
<msub>
<mi>P</mi>
<mrow>
<mi>j</mi>
<mi>max</mi>
</mrow>
</msub>
</msubsup>
<mo>&lsqb;</mo>
<mi>min</mi>
<mrow>
<mo>(</mo>
<mi>F</mi>
<mo>(</mo>
<mrow>
<mi>P</mi>
<mo>,</mo>
<mi>j</mi>
</mrow>
<mo>)</mo>
<mo>,</mo>
<msub>
<mi>F</mi>
<mi>s</mi>
</msub>
<mo>(</mo>
<mrow>
<mi>P</mi>
<mo>-</mo>
<msub>
<mi>P</mi>
<mrow>
<mi>w</mi>
<mi>i</mi>
<mi>j</mi>
</mrow>
</msub>
<mo>,</mo>
<mi>j</mi>
</mrow>
<mo>)</mo>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>F</mi>
<mi>s</mi>
</msub>
<mrow>
<mo>(</mo>
<mi>P</mi>
<mo>,</mo>
<mi>j</mi>
<mo>)</mo>
</mrow>
<mo>&rsqb;</mo>
<mi>d</mi>
<mi>P</mi>
<mo>,</mo>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mn>...</mn>
<mo>,</mo>
<msub>
<mi>N</mi>
<mi>t</mi>
</msub>
<mo>.</mo>
</mrow>
4
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102780219A (en) * | 2012-05-17 | 2012-11-14 | 清华大学 | Method for discriminating wind power digestion capability from multiple dimensions based on wind power operation simulation |
| CN102915396A (en) * | 2012-10-16 | 2013-02-06 | 内蒙古自治区电力科学研究院 | Method for computing wind power bearing capability of power grid |
| CN103219748A (en) * | 2012-01-20 | 2013-07-24 | 华北电力科学研究院有限责任公司 | Determination method and system of power grid wind electricity digestion capability |
| CN103810535A (en) * | 2014-01-07 | 2014-05-21 | 广西大学 | Wind power absorption capacity assessment method for electric power system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140316595A1 (en) * | 2012-12-20 | 2014-10-23 | Bradley Kayton | Advanced Measurement and Verification of Energy Curtailment |
-
2014
- 2014-11-07 CN CN201410621955.9A patent/CN104537204B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103219748A (en) * | 2012-01-20 | 2013-07-24 | 华北电力科学研究院有限责任公司 | Determination method and system of power grid wind electricity digestion capability |
| CN102780219A (en) * | 2012-05-17 | 2012-11-14 | 清华大学 | Method for discriminating wind power digestion capability from multiple dimensions based on wind power operation simulation |
| CN102915396A (en) * | 2012-10-16 | 2013-02-06 | 内蒙古自治区电力科学研究院 | Method for computing wind power bearing capability of power grid |
| CN103810535A (en) * | 2014-01-07 | 2014-05-21 | 广西大学 | Wind power absorption capacity assessment method for electric power system |
Non-Patent Citations (4)
| Title |
|---|
| A Consideration of the Wind Power Benefits in Day-Ahead Scheduling of Wind-Coal Intensive Power Systems;Caixia Wang etal;《IEEE TRANSACTIONS ON POWER SYSTEMS》;20130228;第28卷(第1期);236-245页 * |
| 利用合理弃风提高大规模风电消纳能力的理论研究;刘新东等;《电力***保护与控制》;20120316;第40卷(第6期);35-39页 * |
| 风电供热提高低谷风电消纳能力评估;王彩霞等;《中国电力》;20131231;第46卷(第12期);100-106页 * |
| 风电消纳能力分析方法的研究;刘畅等;《电力***保护与控制》;20140216;第42卷(第4期);61-66页 * |
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