CN104537204A - Assessment method for wind and electricity digestion capacity in heat-electricity cogeneration power grid - Google Patents
Assessment method for wind and electricity digestion capacity in heat-electricity cogeneration power grid Download PDFInfo
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- CN104537204A CN104537204A CN201410621955.9A CN201410621955A CN104537204A CN 104537204 A CN104537204 A CN 104537204A CN 201410621955 A CN201410621955 A CN 201410621955A CN 104537204 A CN104537204 A CN 104537204A
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Abstract
The invention provides an assessment method for wind and electricity digestion capacity in a heat-electricity cogeneration power grid. The method comprises the steps of performing discretization on a continuous thermal load curve and a continuous electric load curve, so as to obtain the discretized continuous thermal load curve and the discretized continuous electric load curve; producing heat and electricity by all heat-electricity cogeneration units at lowest thermal power, loading on the discretized continuous thermal load curve, and loading on the discretized continuous electric load curve at corresponding minimum electric power; producing by all non-heat supply thermal power generating units at the minimum electric power, and loading on the discretized continuous electric load curve; selecting the heat-electricity cogeneration unit with minimum heat electricity incremental ratio, and loading on the discretized continuous thermal load curve till fully loading; and loading on the discretized continuous electric load curve with wind and electricity till fully loading, and acquiring the wind and electricity digestion capacity and wind and electricity digestion ratio.
Description
Technical field
The invention belongs to Operation of Electric Systems and technical field of new energies, particularly relate to a kind of appraisal procedure consuming ability at cogeneration electrical network apoplexy power consumption.
Background technology
Along with installed capacity of wind-driven power constantly increases, the wind-electricity integration ratio accounting for gross capability of exerting oneself constantly increases.The wind phenomenon of abandoning caused due to power supply dirigibility deficiency occurs repeatedly.Data display according to statistics, the wind power output peak-shaving capability of the most wind power base of China presents anti-load peak-shaving capability, adds net load peak-valley difference, adds the difficulty that Unit Combination arranges.Especially for warm season, cogeneration units is run in the mode of " electricity determining by heat ", makes peak-load regulating scarce capacity, causes abandoning wind problem very outstanding.Wind electricity digestion problem becomes the one of the main reasons of restriction Wind Power Development.
The power supply architecture that current domestic wind-powered electricity generation collects area has the advantages that coal electricity is master, thermoelectricity ratio unit that is high, that have rapid adjustability is few, and power supply dirigibility is not enough.For certain regional power grid of the north, coal Denso machine accounts for 74.7% of total installed capacity, and is supplying warm season, and cogeneration units start capacity accounts for about 70% of peak load.Under the method for operation for warm season cogeneration units " electricity determining by heat ", due to the coupled relation between thermal power plant unit heat/electricity, it forces electricity to exert oneself and occupies a large amount of base lotuses, huge challenge is brought to peak-load regulating, thus wind-powered electricity generation online limited space, wind electricity digestion capability is not enough, is very especially with electric load low ebb at night.Therefore, the reciprocal effect how processed between coupled relation between electricity/heat and electricity/heat/wind is the most important thing of heating season wind electricity digestion capability assessment.
But at present owing to lacking the practical approach of electric system especially being carried out to Efficient Evaluation for heating season wind electricity digestion capability, in order to ensure power system security, most of yardman, selecting to abandon wind for warm season, causes waste.
Summary of the invention
In sum, necessaryly a kind of appraisal procedure that can reduce the cogeneration electrical network apoplexy power consumption digestion capability of abandoning wind is provided.
A kind of appraisal procedure of cogeneration electrical network apoplexy power consumption digestion capability, comprise the following steps: step S10, process is carried out to load data and forms lasting electric load curve and lasting thermal load curve, sliding-model control is carried out to lasting thermal load curve and lasting electric load curve, obtains the lasting thermal load curve after the lasting electric load curve after discretize and discretize; Step S20, each cogeneration units is arranged production with minimum thermal power, and the lasting thermal load curve after discretize is with thermal load, and with active load on the lasting electric load curve of corresponding minimum electric power after discretize; Step S30, each non-heat supply fired power generating unit is arranged production with minimum electric power, active load on the lasting electric load curve after discretize; Step S40, in each cogeneration units that thermal power is not yet fully loaded, select the cogeneration units that electric heating quotient of difference is minimum, lasting thermal load curve after discretize is with thermal load, and with active load on the lasting electric load curve of corresponding electric power increment after discretize, until the lasting thermal load curve after discretize is booked; And step S50, arrange active load on the lasting electric load curve of wind-powered electricity generation after discretize, until the lasting electric load curve after discretize is also booked, obtain wind electricity digestion electricity and wind electricity digestion rate.
Relative to prior art, the appraisal procedure of cogeneration electrical network apoplexy power consumption digestion capability provided by the invention, by carrying out sliding-model control to lasting electric load curve and lasting thermal load curve, and based on minimum electric heating ratio, can long time scale wind-powered electricity generation electricity digestion capability in qualitative assessment, decrease and abandon wind, improve the digestion capability of wind-powered electricity generation, thus saved the energy.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the appraisal procedure of cogeneration electrical network apoplexy power consumption digestion capability provided by the invention.
Fig. 2 (a) and (b) are respectively the electricity/thermal load curve for warm season a certain cycle long period provided by the invention.
Fig. 3 (a) and (b) are that cogeneration units provided by the invention is arranged production with minimum thermal power, and lasting thermal load curve is with thermal load, and with the arrangement figure of corresponding minimum electric power on lasting electric load curve during active load.
Fig. 4 is that non-thermal power plant unit provided by the invention is arranged production with minimum electric power, the load arrangement figure of active load on electric load curve.
Fig. 5 (a) and (b) are respectively provided by the invention allows the unit of minimum electric heating quotient of difference bear thermal load until heat/electric load arrangement figure of being booked of thermal load curve in the principle based on minimum hotspot stress.
Fig. 6 be basis provided by the invention for many years wind Power Processing sequence carry out the probability distribution graph of the wind-powered electricity generation that statistical treatment draws.
Fig. 7 (a) and (b) are respectively wind-powered electricity generation provided by the invention and all dissolve and have the load arrangement figure abandoning landscape condition.
Fig. 8 (a) and (b) are respectively the three-dimensional electricity/thermal load curved surface for warm season a certain cycle long period provided by the invention.
Fig. 9 be basis provided by the invention for many years wind Power Processing sequence carry out the three-dimensional probability distribution of the wind power output that statistical treatment draws.
To be northern China regional power system provided by the invention to dissolve rate at the wind-powered electricity generation electricity of each period Figure 10.
Embodiment
Also in conjunction with specific embodiments technical scheme of the present invention is stated further in detail according to Figure of description below.
See also Fig. 1 and Fig. 2, the appraisal procedure of the cogeneration electrical network apoplexy power consumption digestion capability that first embodiment of the invention provides mainly comprises the steps:
Step S10, process is carried out to load data and forms lasting electric load curve and lasting thermal load curve, sliding-model control is carried out to lasting thermal load curve and lasting electric load curve, obtains the lasting thermal load curve after the lasting electric load curve after discretize and discretize;
Step S20, each cogeneration units is arranged production with minimum thermal power, and the lasting thermal load curve after discretize is with thermal load, and so that the lasting electric load curve of corresponding minimum electric power after discretize to be with thermal load;
Step S30, each non-heat supply fired power generating unit is arranged production with minimum electric power, active load on the lasting electric load curve after discretize;
Step S40, in each cogeneration units that thermal power is not yet fully loaded, select the cogeneration units that electric heating quotient of difference is minimum, lasting thermal load curve after discretize is with thermal load, and with active load on the lasting electric load curve of corresponding electric power increment after discretize, until the lasting thermal load curve after discretize is booked; And
Step S50, arranges active load on the lasting electric load curve of wind-powered electricity generation after discretize, until the lasting electric load curve after discretize is booked, obtains wind electricity digestion electricity and wind electricity digestion rate.
In step slo, described load data comprises electric load data and thermal load data, and represents lasting thermal load curve with curve G, can represent lasting electric load curve by curve F.Can to lasting thermal load curve G with thermal load step-length for Δ H carries out discretize, and can electric load step-length be also that Δ H carries out discretize to lasting electric load curve F, also can be other step-lengths, can select according to required precision.When step-length is consistent, the precision of assessment can be improved and reduce difficulty in computation.
In step S20, see also Fig. 3, each cogeneration units is arranged production with minimum thermal power, and lasting thermal load curve is with thermal load, and with corresponding minimum electric power active load on lasting electric load curve, has:
（1）
（2）
In formula, G
srepresentative continues hot power curve; F
srepresentative continues generating curve; M is cogeneration units quantity; H
iminfor each cogeneration units minimum thermal power; P
iminfor the minimum electric power of each cogeneration units.Revise the state of exerting oneself of cogeneration units with this, obtain:
（3）
H in formula
ibe that the heat of i-th cogeneration units is exerted oneself state, P
ibe that the electricity of i-th fired power generating unit is exerted oneself state.
In step s 30, see also Fig. 4, arrange non-heat supply fired power generating unit to arrange production with minimum electric power, have:
（4）
In formula, N is fired power generating unit sum in system; M is cogeneration units quantity;
for the minimum electric power of non-heat supply fired power generating unit.
Revise the state of exerting oneself of non-heat supply fired power generating unit with this, have:
（5）。
In step s 40, see also Fig. 5, when arrange cogeneration units electricity exert oneself increment minimum, remaining lasting thermal load curve is booked.Before this, continue thermal load curve and be arranged into n
hΔ
hplace, n
hfor:
（6）
Continue electric load curve and be arranged into P
hplace, n
hfor:
（7）
Select the minimum cogeneration units of electric heating quotient of difference can to carry out according to the mode asking for minimum electric heating quotient of difference as follows:
（8）
In formula, γ is current minimum electric heating quotient of difference; I corresponding to γ is the minimum unit of current electric heating quotient of difference; D
ifor cogeneration units range of operation.
Allow the above-mentioned cogeneration units on-load chosen:
（9）
（10）
Meanwhile, revise cogeneration units to exert oneself state revise n
h, P
h:
Repeat (9) ~ (14), until stop when meeting following formula:
（15）
In formula, H
maxfor lasting thermal load curve
on maximum heating load value.
In step s 50, at lasting generating curve F
sand arrangement wind-powered electricity generation is carried out in the region between lasting electric load curve F.Wind turbines active load on lasting electric load curve of different conditions, for the Wind turbines of the state i that exerts oneself, it is exerted oneself as P
wi, probability is p
wi, then its electric load E born
wifor:
（16）
In formula, P
maxit is the maximum power value of lasting electric load curve; T is research cycle.
All for Wind turbines states are summed up, then have wind electricity digestion electricity to be:
（17）
If the maximum electricity of wind-powered electricity generation is E
w, can by following formulae discovery:
（18）
Then wind electricity digestion rate μ is:
（19）
Wherein, N
wwind power status number.
Refer to Fig. 6, 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, obtain the wind power probability distribution after discretize, similar, described wind power probability distribution can carry out sliding-model control according to step delta H, also can select according to required precision.Wind power probability Distribution Model after gained discretize is equivalent to multimode machine supervising group model, wind power status number N
wbe the discrete hop count of the wind power probability distribution after discretize, for state
, probability P
wibe the probability of discrete segment corresponding to the wind power probability distribution after corresponding discretize.
Arrange wind-powered electricity generation produce time, wind-powered electricity generation all dissolve and have abandon wind situation as shown in Figure 7.In the figure 7, when after i state wind power is arranged production, each curve is as Suo Shi (a), wind-powered electricity generation can all be dissolved, and region of dissolving is for the A in (a); And when after i state wind power is arranged production, each curve is as Suo Shi (b), wind-powered electricity generation exists abandons wind, region of dissolving is for the A in (b), and abandoning wind region is then B.
More than analyze an all implicit precondition: electricity/thermal load, wind power output are from separate in each moment.In addition, consider that electric load always respectively has peak evening on daytime, and morning is relatively low; Wind power output often occurs that daytime is little, the situation that evening is large; And thermoelectricity load also has its corresponding rule.Thus, by considering that every day at times, expands to three-dimensional model by two dimensional model in electricity/hot lasting load curve, wind power output probability Distribution Model.
Further, consider that electricity/hot lasting load curve every day, wind power output probability distribution are all not different in the same time, the appraisal procedure of the cogeneration electrical network apoplexy power consumption digestion capability that described second embodiment of the invention provides mainly comprises the steps:
Step S10 ', is divided into N by the wind power probability distribution of every day
tthe individual period, process is carried out to the load data of each period and forms lasting electric load curve and lasting thermal load curve, sliding-model control is carried out to lasting thermal load curve and lasting electric load curve, obtains the lasting thermal load curve after the lasting electric load curve after discretize and discretize;
Step S20 ', each cogeneration units is arranged production with minimum thermal power, and the lasting thermal load curve after discretize is with thermal load, and with active load on the lasting electric load curve of corresponding minimum electric power after discretize;
Step S30 ', each non-heat supply fired power generating unit is arranged production with minimum electric power, active load on the lasting electric load curve after discretize;
Step S40 ', in each cogeneration units that thermal power is not yet fully loaded, select the cogeneration units that electric heating quotient of difference is minimum, lasting thermal load curve after discretize is with thermal load, and with active load on the lasting electric load curve of corresponding electric power increment after discretize, until the lasting thermal load curve after discretize is booked; And
Step S50 ', active load on the lasting electric load curve of wind-powered electricity generation after discretize, until the lasting electric load curve after discretize is booked, obtains wind electricity digestion electricity and wind electricity digestion rate.
The appraisal procedure that second embodiment of the invention provides is substantially identical with the first embodiment, and its difference is, by considering every day at times in electricity/hot lasting load curve, wind power output probability distribution, two dimensional model is expanded to three-dimensional model.
In step S10 ', wind power output probability distribution, lasting electricity/thermal load curve are divided into N
tthe individual period, and represent with j.Then (1) ~ (16) formula is modified to:
In formula, H
jmaxthe maximum heating load value on thermal load curve is continued for time j.
In formula, p
wijrepresent at period j, wind power is P
wijprobability; P
jmaxfor the maximum power value of the lasting electric load curve of period j.
Carry out emulating lasting electricity/thermal load curved surface, wind power output three probability distribution of obtaining as shown in Figure 8, Figure 9 according to above-mentioned same method.In Fig. 8, the period, unit was 1 quarter, namely 15 minutes; And in Fig. 9, the period, unit was hour.Can see, electricity/thermal load curve and wind power output are distributed in a few days stronger statistically rule, considers this point, and result of calculation can be allowed more reasonable.
After revising, three-dimensional model can carry out more effective assessment to electric system in heating monsoon power consumption digestion capability according to former step.
Embodiment one
Heating monsoon power consumption digestion capability appraisal procedure based on polynary Stochastic Production Simulation of the present invention reduces by control with changed scale for warm season electricity/thermal load data based on northern China regional power system, and emulation cycle is 30 days.Time in a few days, hop count is N
t=96, namely Period Length is quarter.Calculating concrete steps are as follows:
(1) be described for moment point 1, according to step S10, first obtain electricity/thermal load curved surface and electricity as shown in table 1/thermal load key parameter as shown in Figure 8, then draw the three-dimensional probability distribution of wind-powered electricity generation as shown in Figure 9, with step-length
carry out sliding-model control;
The table 1 northern China regional power system electricity within the cycle of putting into practice/thermal 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 is pure condensate unit.Consider that northern China cogeneration units mostly is steam-extracting type unit, thus the fired power generating unit of example is decided to be steam-extracting type herein, and the parameter of fired power generating unit is as shown in table 2.Each cogeneration units is arranged production with minimum thermal power, on-load on lasting thermal load curve, and with corresponding minimum electric power on-load on lasting electric load curve;
The fired power generating unit parameter of table 2 northern China regional power system
(3) according to step S30, each non-heat supply fired power generating unit is arranged production with minimum electric power, on-load on lasting electric load curve;
(4) according to step S40, arrange cogeneration units when electricity exert oneself increment minimum, remaining lasting thermal load curve is booked.
(5) according to step S50, moment point 1 wind electricity digestion electricity is calculated with the rate of dissolving according to the data that above step draws.Said process is repeated 96 times, the wind-powered electricity generation electricity that can obtain this emulation whole cycle as shown in table 3 and Figure 10 is dissolved result.
The wind-powered electricity generation electricity in table 3 northern China regional power system whole cycle is dissolved result
The appraisal procedure of cogeneration electrical network apoplexy power consumption digestion capability provided by the invention, by carrying out sliding-model control to lasting electric load curve and lasting thermal load curve, establish the functional Optimized model based on polynary Stochastic Production Simulation, and based on the equivalent electric-heat function method of minimum electric heating ratio, can long time scale wind-powered electricity generation electricity digestion capability in qualitative assessment, decrease and abandon wind, improve the digestion capability of wind-powered electricity generation, thus saved the energy.
In addition, those skilled in the art also can do other change in spirit of the present invention, and these changes done according to the present invention's spirit, all should be included in the present invention's scope required for protection certainly.
Claims (10)
1. an appraisal procedure for cogeneration electrical network apoplexy power consumption digestion capability, comprises the following steps:
Step S10, process is carried out to load data and forms lasting electric load curve and lasting thermal load curve, sliding-model control is carried out to lasting thermal load curve and lasting electric load curve, obtains the lasting thermal load curve after the lasting electric load curve after discretize and discretize;
Step S20, each cogeneration units is arranged production with minimum thermal power, and the lasting thermal load curve after discretize is with thermal load, and with active load on the lasting electric load curve of corresponding minimum electric power after discretize;
Step S30, each non-heat supply fired power generating unit is arranged production with minimum electric power, active load on the lasting electric load curve after discretize;
Step S40, in each cogeneration units that thermal power is not yet fully loaded, select the cogeneration units that electric heating quotient of difference is minimum, lasting thermal load curve after discretize is with thermal load, and with active load on the lasting electric load curve of corresponding electric power increment after discretize, until the lasting thermal load curve after discretize is booked; And
Step S50, arranges active load on the lasting electric load curve of wind-powered electricity generation after discretize, until the lasting electric load curve after discretize is also booked, obtains wind electricity digestion electricity and wind electricity digestion rate.
2. the appraisal procedure of cogeneration electrical network apoplexy power consumption digestion capability as claimed in claim 1, it is characterized in that, represent with curve G and continue thermal load curve, represent with curve F and continue electric load curve, to lasting thermal load curve G with thermal load step-length for Δ H carries out discretize, and to lasting electric load curve F also with electric load step-length for Δ H carries out discretize.
3. the appraisal procedure of cogeneration electrical network apoplexy power consumption digestion capability as claimed in claim 2, is characterized in that, the lasting hot power curve curve G of cogeneration units
swith lasting generating curve F
smeet:
；
；
In formula, M is cogeneration units quantity; H
iminfor each cogeneration units minimum thermal power; P
iminfor the minimum electric power of each cogeneration units.
4. the appraisal procedure of cogeneration electrical network apoplexy power consumption digestion capability as claimed in claim 3, it is characterized in that, the state of exerting oneself of cogeneration units is:
；
H in formula
ibe that the heat of i-th cogeneration units is exerted oneself state, P
ibe that the electricity of i-th fired power generating unit is exerted oneself state.
5. the appraisal procedure of cogeneration electrical network apoplexy power consumption digestion capability as claimed in claim 4, is characterized in that, under the state that non-heat supply fired power generating unit is arranged production with minimum electric power, continues generating curve F
smeet:
；
In formula, N is fired power generating unit sum in system; M is cogeneration units quantity;
for the minimum electric power of non-heat supply fired power generating unit;
Under the state of then arranging production with minimum electric power in non-heat supply fired power generating unit, continue thermal load curve and be routed to n
hΔ
hplace, n
hfor:
；
Continue electric load curve and be arranged into P
hplace, n
hfor:
。
6. the appraisal procedure of cogeneration electrical network apoplexy power consumption digestion capability as claimed in claim 5, is characterized in that, selects the cogeneration units that electric heating quotient of difference is minimum, and lasting thermal load curve after discretize is with thermal load to comprise the steps:
Ask for the cogeneration units that electric heating quotient of difference is minimum:
；
In formula, γ is current minimum electric heating quotient of difference; I corresponding to γ is the minimum unit of current electric heating quotient of difference; D
ifor cogeneration units range of operation;
The above-mentioned cogeneration units i chosen is allowed to be with thermal load:
Meanwhile, the cogeneration units state of exerting oneself revised and revise n
h, P
h:
Repeat said process, until stop when meeting following formula:
；
In formula, H
maxfor the maximum heating load value on lasting thermal load curve G.
7. the appraisal procedure of cogeneration electrical network apoplexy power consumption digestion capability as claimed in claim 6, it is characterized in that, when the lasting electric load curve after discretize is booked, wind electricity digestion electricity and wind electricity digestion rate calculate in the following manner:
For the Wind turbines of wind power output state i, it is exerted oneself as P
wi, probability is p
wi, then its electric load E born
wifor:
；
In formula, P
maxit is the maximum power value of lasting electric load curve; T is research cycle;
The Wind turbines of different conditions is summed up, then has wind electricity digestion electricity to be:
；
If the maximum electricity of wind-powered electricity generation is E
w, then:
；
Then wind electricity digestion rate μ is:
；
Wherein,
wind power status number.
8. the appraisal procedure of cogeneration electrical network apoplexy power consumption digestion capability as claimed in claim 1, it is characterized in that, 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, obtain the wind power probability distribution after discretize, wind power probability Distribution Model after gained discretize is equivalent to multimode machine supervising group model, wind power status number
be the discrete hop count of the wind power probability distribution after discretize, for state
, probability
be the probability of discrete segment corresponding to the wind power probability distribution after corresponding discretize.
9. the appraisal procedure of cogeneration electrical network apoplexy power consumption digestion capability as claimed in claim 1, is characterized in that, the wind power probability distribution of every day is divided into N
tthe individual period, each period is represented with j, then the lasting hot power curve curve G of cogeneration units
swith lasting generating curve F
smeet:
In formula, M is cogeneration units quantity; H
iminfor each cogeneration units minimum thermal power; P
iminfor the minimum electric power of each cogeneration units.
10. the appraisal procedure of cogeneration electrical network apoplexy power consumption digestion capability as claimed in claim 9, is characterized in that, to exert oneself the Wind turbines of state i for the j period, it is exerted oneself as P
wij, probability is p
wij, T is research cycle; The then electric load E that bears of this Wind turbines
ifor:
。
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