CN111709605A - Reservoir power station peak regulation capacity evaluation method based on multiple counterregulation effects - Google Patents

Reservoir power station peak regulation capacity evaluation method based on multiple counterregulation effects Download PDF

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CN111709605A
CN111709605A CN202010426508.3A CN202010426508A CN111709605A CN 111709605 A CN111709605 A CN 111709605A CN 202010426508 A CN202010426508 A CN 202010426508A CN 111709605 A CN111709605 A CN 111709605A
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刘育
刘芬香
孙磊
叶亚林
黄勇
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Chengdu Dahui Zhilian Technology Co ltd
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Abstract

The invention discloses a method for evaluating the peak regulation capacity of a reservoir power station based on multiple counterregulation effects, which is characterized by comprising the following steps of: step 1, selecting a calculation time interval, and dividing the calculation time interval into four time intervals of an early peak, a flat period, a late peak and a valley period according to peak-valley time-of-use electricity prices; step 2, measuring the output N of the reservoir power station in the peak time period of the reservoir power station in the selected calculation time periodPeak(s)And the power N of the reservoir power station in the valley periodGrain(ii) a Step 3, obtaining N according to the step 2Peak(s)And NGrainAnd obtaining an index peak-to-valley output ratio S for evaluating the peak regulation capacity of the reservoir power station, wherein the larger the peak-to-valley output ratio S is, the stronger the peak regulation capacity of the power station is. The peak regulation capacity and the operation mode obtained by calculation by using the method of the invention have stable final step flow discharging process, and can not cause adverse effect on the operation of a downstream river channel or water conservancy facility.

Description

Reservoir power station peak regulation capacity evaluation method based on multiple counterregulation effects
Technical Field
The invention relates to the field of scheduling control of hydroelectric systems, in particular to a reservoir power station peak regulation capacity evaluation method based on multiple counterregulation.
Background
Since the later 90 s, along with the increase of national economy, the industrial production capacity is improved and the living standard of people is improved day by day, the load structure of the power grid is also changed greatly. The peak-valley difference of the power grid is increased day by day, the load rate of the power grid is reduced year by year, and the problem of peak regulation is always a prominent problem of each power grid. Hydroelectric power is a clean renewable energy source, and the conventional hydroelectric generating set has the characteristics of quick start, high climbing rate, large peak regulation amplitude and the like, and is an excellent power supply for bearing electric peak regulation, frequency regulation and phase regulation. The hydropower station, especially a large hydropower station with good adjusting performance, has very important significance for ensuring the electric quantity supply of a power grid and the safe and stable operation of the power grid, and can ensure that other types of units can stably operate during peak shaving operation of the hydropower station with adjusting performance, thereby saving the start-stop cost and the system operation cost; and with the gradual promotion of the market reformation of the electric power, the peak shaving enthusiasm of the hydropower is fully adjusted. The research on the peak regulation potential of the reservoir power station is developed, the reasonable peak regulation operation capacity of the reservoir power station is determined, the method has very important significance for guiding the peak regulation operation of the reservoir power station in a power grid, the power generation benefit of the hydropower station with the regulation performance can be effectively improved, and the economic operation of the power station is guaranteed.
Disclosure of Invention
In order to solve the problems in the related art, the invention provides a reservoir power station peak regulation capacity evaluation method based on multiple counterregulation effects.
The invention is realized by the following technical scheme:
a reservoir power station peak regulation capacity evaluation method based on multiple counterregulation effects is characterized by comprising the following steps:
step 1, selecting a calculation time interval, wherein the calculation time interval is divided into four time intervals of an early peak, a flat section, a late peak and a valley section according to peak-valley time-of-use electricity price;
step 2, measuring the output N of the reservoir power station in the peak time period of the reservoir power station in the selected calculation time periodPeak(s)And the power N of the reservoir power station in the valley periodGrain；
Step 3, obtaining N according to the step 2Peak(s)And NGrainAnd obtaining an index peak-to-valley output ratio S for evaluating the peak regulation capacity of the reservoir power station, wherein the larger the peak-to-valley output ratio S is, the stronger the peak regulation capacity of the power station is.
Further, the peak-to-valley output ratio S is calculated by:
step (1), setting the peak-to-valley output ratio of the reservoir power station A to be 1: n1:n2Wherein: n is1Is the normal section output coefficient, n is more than or equal to 01≤1；n2Is the output coefficient of the low-valley period, n is more than or equal to 02Less than or equal to 1; the peak-to-valley output ratio represents the output ratio of a high peak section, a flat section and a low valley section in one day;
step (2), setting the water level of the reservoir power station A, and the total generated energy in the research period, and combining the peak-to-average valley output ratio of 1: n1:n2And calculating to obtain the output process N of the power station A1,t；
Step (3), according to the water consumption rate of the reservoir power station A, combining the output process N in the step (2)1,tAnd calculating the time length of each time interval to obtain the outflow process Q of the reservoir power station A1,t；
Step (4), whether the reservoir power station A generates abandoned water is detected, and if the abandoned water is generated, the step (5) is carried out; if no waste water is generated, entering the step (6);
step (5), obtaining reservoir power station B time interval warehousing flow process i2,tConsidering the discharge process Q of the reservoir power station A1,tAnd obtaining the warehousing flow process q of the reservoir power station B in time delay2,tWherein: q. q.s2,t＝Q1,t+Δt+i2,t；
Step (6), correcting the output coefficient n of the reservoir power station A2And entering step (7);
step (7) of judging n2Whether or not it is greater than n1When n is2>n1Correcting the output coefficient n of the reservoir power station A1And returning to the step (8); when n is2≤n1If so, entering the step (8);
step (8), accumulating the warehousing flow q of each time interval2,tObtaining the total quantity Q of the reservoir power station B2 Total；
Step (9), setting the ratio of the peak-to-valley output of the reservoir power station B to be 1: n3:n4Wherein: n is3Is the normal section output coefficient, n is more than or equal to 03≤1；n4Is the output coefficient of the low-valley period, n is more than or equal to 04≤1；
Step (10), simulating the power generation process of the reservoir power station B, judging whether the peak-to-valley outflow ratio meets all constraints in the model when the reservoir power station B operates, and entering step (11) if the peak-to-valley outflow ratio meets the constraints; if all the constraints cannot be met, entering the step (12);
step (11), obtaining a C time interval warehousing flow process i of the reservoir power station3,tLet-down flow process Q2,tAnd obtaining the warehousing flow process q of the reservoir power station B in time delay3,t＝Q2,t+Δt+i3,t；
Step (12), correcting the output coefficient n of the reservoir power station B4And proceeding to step (13);
step (13), judging and correcting the output coefficient n of the reservoir power station B4If n is greater than 1, if4>1, returning to the step (6) to correct the output coefficient of the reservoir power station A; if n is4If the temperature is less than or equal to 1, entering the step (14);
a step (14) of judging n4Whether or not it is greater than n3When n is4>n3Correcting the B output coefficient n of the reservoir power station3(ii) a When n is4≤n3If yes, entering the step (15);
step (15), obtaining a storage flow process i of a C time interval of the reservoir power station3,tLet-down flow process Q2,tAnd obtaining the warehousing flow process q of the reservoir power station B in time delay3,t＝Q2,t+Δt+i3,t；
Step (16), accumulating the warehousing flow q of each time interval3,tObtaining the total quantity of the reservoir power station CQ3 Total；
Step (17), setting the peak-valley outflow ratio of the reservoir power station C to be 1:1, and obtaining the discharge flow process Q of the reservoir power station C3,t；
Step (18), simulating the reservoir power station C to operate at a stable discharge flow, judging whether the reservoir power station C can meet various constraints such as unit water passing capacity, reservoir water storage capacity, water balance in each time period and the like, if the reservoir power station C can meet the constraints, finishing the calculation, and obtaining that the ratio of peak-to-valley power of the peak-to-valley of the reservoir power station A is 1: n1:n2Peak regulation potential of 1: n2I.e. S1: n2(ii) a And if all the constraint conditions cannot be met, returning to the step (12).
Further, the corrected output coefficient is obtained by adding 0.1 to the original output coefficient, and the output coefficient comprises n1、n2、n3And n4(ii) a Wherein, in the correction of n1Season n2Each correction n is represented by 01All are n2Starting from zero; at the correction of n3Season n4Each correction n is represented by 03All are n4Starting from zero.
Furthermore, the constraints comprise a water balance constraint, a cascade power station water quantity connection constraint, a reservoir water storage quantity constraint, a cascade discharge quantity constraint, a water passing capacity constraint of each reservoir power station unit and a reservoir power station output constraint.
Further, the water balance constraint is as follows:
Figure BDA0002498862820000041
wherein: vi,t、Vi,t+1The water storage capacity m at the t time and the end of the next time of the ith reservoir power station3；Ri,tThe average warehousing flow m of the ith reservoir power station at the t time period3·s-1；Qi,tIs the generated flow m of the ith reservoir power station at the t time period3·s-1；Di,tIs the water discharge, m, of the i-th reservoir power station at the t-th time period3·s-1。
Further, the cascade power station water volume linkage constraint is as follows:
Figure BDA0002498862820000051
wherein: Δ ti-1The time interval number corresponding to the water flow time lag from the ith-1 power plant to the ith power plant; i isi,tAverage inflow of interval from i-1 power plant to i power plant in t period3·s-1。
Further, the reservoir water storage capacity constraint is as follows:
Figure BDA0002498862820000052
wherein: vi,min、Vi,maxRespectively the minimum water storage amount and the maximum water storage amount required in the dispatching period of the ith reservoir power station.
Further, the step letdown flow constraint is:
Figure BDA0002498862820000053
wherein: qN,t、QN,t+1The time interval of the last stage of cascade power station is t time interval and t +1 time interval.
Further, the water passing capacity constraint of each reservoir power station unit is as follows:
Figure BDA0002498862820000054
wherein: qi,min、Qi,maxRespectively the minimum and maximum discharge flow of the ith reservoir power station.
Further, the reservoir power station output constraint is as follows:
Figure BDA0002498862820000055
wherein N isi,minIs the ith waterMinimum allowable power output (MW, depending on the type and characteristics of the turbine) of the depot power station; n is a radical ofi,maxThe installed capacity (MW) of the i-th reservoir power station.
Further, all of the variables described above are non-negative variables.
Compared with the prior art, the invention has the following advantages:
the peak regulation capacity and the operation mode obtained by calculation by using the method of the invention have stable final step flow discharging process, and can not cause adverse effect on the operation of a downstream river channel or water conservancy facility. However, the traditional existing technical method does not consider the point, which causes the downward discharge of the cascade power station to have larger fluctuation change in the day, thus being not beneficial to the operation management of downstream power stations and facilities.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
FIG. 1 shows the discharge process of A, B, C three reservoir power stations according to example 1 of the present invention;
FIG. 2 is a diagram showing the water level change in the reservoir power station B in the counter regulation process according to embodiment 1 of the present invention;
fig. 3 is a diagram showing the water level change in the counter regulation process of the reservoir power station C according to embodiment 1 of the present invention.
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and other advantages and effects of the present invention will become apparent to those skilled in the art from the present disclosure.
A reservoir power station peak regulation capacity evaluation method based on multiple counterregulation effects comprises the following steps:
step 1, selecting a calculation time interval, wherein the calculation time interval is divided into four time intervals of an early peak, a flat section, a late peak and a valley section according to peak-valley time-of-use electricity price;
step 2, measuring the output N of the reservoir power station in the peak time period of the reservoir power station in the selected calculation time periodPeak(s)And the power N of the reservoir power station in the valley periodGrain；
Step 3, obtaining N according to the step 2Peak(s)And NGrainAnd obtaining an index peak-to-valley output ratio S for evaluating the peak regulation capacity of the reservoir power station, wherein the larger the peak-to-valley output ratio S is, the stronger the peak regulation capacity of the power station is.
Further, the peak-to-valley output ratio S is calculated by:
step (1), setting the peak-to-valley output ratio of the reservoir power station A to be 1: n1:n2Wherein: n is1Is the normal section output coefficient, n is more than or equal to 01≤1；n2Is the output coefficient of the low-valley period, n is more than or equal to 02Less than or equal to 1; the peak-to-valley output ratio represents the output ratio of a high peak section, a flat section and a low valley section in one day;
step (2), setting the water level of the reservoir power station A, and the total generated energy in the research period, and combining the peak-to-average valley output ratio of 1: n1:n2And calculating to obtain the output process N of the power station A1,t；
Step (3), according to the water consumption rate of the reservoir power station A, combining the output process N in the step (2)1,tAnd calculating the time length of each time interval to obtain the outflow process Q of the reservoir power station A1,t；
Step (4), whether the reservoir power station A generates abandoned water is detected, and if the abandoned water is generated, the step (5) is carried out; if no waste water is generated, entering the step (6);
step (5), obtaining reservoir power station B time interval warehousing flow process i2,tConsidering the discharge process Q of the reservoir power station A1,tAnd obtaining the warehousing flow process q of the reservoir power station B in time delay2,tWherein: q. q.s2,t＝Q1,t+Δt+i2,t；
Step (6), correcting the output coefficient n of the reservoir power station A2And entering step (7);
step (7) of judging n2Whether or not it is greater than n1When n is2>n1Correcting the output coefficient n of the reservoir power station A1And returning to the step (8); when n is2≤n1If so, entering the step (8);
step (8), accumulating the warehousing flow q of each time interval2,tTo obtainTotal quantity Q of reservoir station B2 Total；
Step (9), setting the ratio of the peak-to-valley output of the reservoir power station B to be 1: n3:n4Wherein: n is3Is the normal section output coefficient, n is more than or equal to 03≤1；n4Is the output coefficient of the low-valley period, n is more than or equal to 04≤1；
Step (10), simulating the power generation process of the reservoir power station B, judging whether the peak-to-valley outflow ratio meets all constraints in the model when the reservoir power station B operates, and entering step (11) if the peak-to-valley outflow ratio meets the constraints; if all the constraints cannot be met, entering the step (12);
step (11), obtaining a C time interval warehousing flow process i of the reservoir power station3,tLet-down flow process Q2,tAnd obtaining the warehousing flow process q of the reservoir power station B in time delay3,t＝Q2,t+Δt+i3,t；
Step (12), correcting the output coefficient n of the reservoir power station B4And proceeding to step (13);
step (13), judging and correcting the output coefficient n of the reservoir power station B4If n is greater than 1, if4>1, returning to the step (6) to correct the output coefficient of the reservoir power station A; if n is4If the temperature is less than or equal to 1, entering the step (14);
a step (14) of judging n4Whether or not it is greater than n3When n is4>n3Correcting the B output coefficient n of the reservoir power station3(ii) a When n is4≤n3If yes, entering the step (15);
step (15), obtaining a storage flow process i of a C time interval of the reservoir power station3,tLet-down flow process Q2,tAnd obtaining the warehousing flow process q of the reservoir power station B in time delay3,t＝Q2,t+Δt+i3,t；
Step (16), accumulating the warehousing flow q of each time interval3,tObtaining the total quantity Q of the C discharged from the reservoir of the reservoir power station3 Total；
Step (17), setting the peak-valley outflow ratio of the reservoir power station C to be 1:1, and obtaining the discharge flow process Q of the reservoir power station C3,t；
Step (18), simulating the reservoir power station C to operate at a stable discharge flow, and judgingWhether the peak load and the valley load of the reservoir power station A can meet various constraints such as the water passing capacity of a unit, the water storage capacity of the reservoir, the water balance in each time period and the like, if the peak load and the valley load of the reservoir power station A can meet the constraints, the calculation is finished, and the ratio of the peak load and the valley load of the reservoir power station A to the peak load and the valley load1:n2Peak regulation potential of 1: n2I.e. S1: n2(ii) a And if all the constraint conditions cannot be met, returning to the step (12).
Further, the corrected output coefficient is obtained by adding 0.1 to the original output coefficient, and the output coefficient comprises n1、n2、n3And n4(ii) a Wherein, in the correction of n1Season n2Each correction n is represented by 01All are n2Starting from zero; at the correction of n3Season n4Each correction n is represented by 03All are n4Starting from zero.
Furthermore, the constraints comprise a water balance constraint, a cascade power station water quantity connection constraint, a reservoir water storage quantity constraint, a cascade discharge quantity constraint, a water passing capacity constraint of each reservoir power station unit and a reservoir power station output constraint.
Further, the water balance constraint is as follows:
Figure BDA0002498862820000091
wherein: vi,t、Vi,t+1The water storage capacity m at the t time and the end of the next time of the ith reservoir power station3；Ri,tThe average warehousing flow m of the ith reservoir power station at the t time period3·s-1；Qi,tIs the generated flow m of the ith reservoir power station at the t time period3·s-1；Di,tIs the water discharge, m, of the i-th reservoir power station at the t-th time period3·s-1。
Further, the cascade power station water volume linkage constraint is as follows:
Figure BDA0002498862820000092
wherein: Δ ti-1The time interval number corresponding to the water flow time lag from the ith-1 power plant to the ith power plant; i isi,tAverage inflow of interval from i-1 power plant to i power plant in t period3·s-1。
Further, the reservoir water storage capacity constraint is as follows:
Figure BDA0002498862820000101
wherein: vi,min、Vi,maxRespectively the minimum water storage amount and the maximum water storage amount required in the dispatching period of the ith reservoir power station.
Further, the step letdown flow constraint is:
Figure BDA0002498862820000102
wherein: qN,t、QN,t+1The time interval of the last stage of cascade power station is t time interval and t +1 time interval.
Further, the water passing capacity constraint of each reservoir power station unit is as follows:
Figure BDA0002498862820000103
wherein: qi,min、Qi,maxRespectively the minimum and maximum discharge flow of the ith reservoir power station.
Further, the reservoir power station output constraint is as follows:
Figure BDA0002498862820000104
wherein N isi,minMinimum allowable power (MW, depending on the type and characteristics of the turbine) for the ith reservoir power plant; n is a radical ofi,maxThe installed capacity (MW) of the i-th reservoir power station.
Further, all of the variables described above are non-negative variables.
Example 1
The embodiment provides a reservoir power station peak regulation capacity evaluation method based on multiple counterregulation effects.
In the embodiment, a cascade reservoir power station system consisting of A, B, C reservoir power stations is selected from the upstream to the downstream, wherein A is a regulating reservoir power station, and B, C is a reverse regulating reservoir power station of A.
The embodiment mainly illustrates the peak shaving capacity of the reservoir power station A, and avoids the influence on the downstream river channel and the water conservancy facilities due to the peak shaving operation of the reservoir power station A through the counter-regulation effect of B, C.
The reservoir water level of the reservoir power station A and the total generated energy in the research period are combined, and the peak-to-valley output ratio of the reservoir power station A under each combination is calculated according to the peak shaving potential calculation method, as shown in Table 1.
TABLE 1 Peak-to-Peak ratio of Peak-to-Valley output ratio of hydropower station A
Figure BDA0002498862820000111
In order to specifically analyze how to avoid the influence on the downstream river channel and the water conservancy facilities, a typical combination with the total power generation amount of 4000MW & h and the reservoir water level of 2090m is selected, under the combination, the peak regulation potential of the reservoir power station A is 1:0.4, and in the calculation process, the outflow process and the counter-regulation reservoir water level change process of the cascade three-power station are obtained.
As shown in fig. 1, peak-to-valley-to-peak-to-valley fluctuation outflow process is generated in peak-shaving operation of the reservoir power station a, which has adverse effect on scheduling operation of the downstream main flow power station, peak-to-valley fluctuation amplitude is reduced through counter-regulation of the reservoir power station B, peak-to-valley fluctuation is eliminated through secondary counter-regulation of the reservoir C, and finally, stable outflow process is obtained, and adverse effect of peak-shaving operation of the reservoir power station a on operation of the downstream river and water conservancy facilities is eliminated.
Fig. 2 and 3 show the process of reservoir power station B, C using reservoir counter-regulation to store the water amount in peak time to discharge in normal time or low time within the allowable range, respectively, so as to achieve the purpose of smooth outflow.

Claims (10)

1. A reservoir power station peak regulation capacity evaluation method based on multiple counterregulation effects is characterized by comprising the following steps:
step 1, selecting a calculation time interval, wherein the calculation time interval is divided into four time intervals of an early peak, a flat section, a late peak and a valley section according to peak-valley time-of-use electricity price;
step 2, measuring the output N of the reservoir power station in the peak time period of the reservoir power station in the selected calculation time periodPeak(s)And the power N of the reservoir power station in the valley periodGrain；
Step 3, obtaining N according to the step 2Peak(s)And NGrainAnd obtaining an index peak-to-valley output ratio S for evaluating the peak regulation capacity of the reservoir power station, wherein the larger the peak-to-valley output ratio S is, the stronger the peak regulation capacity of the power station is.
2. The method of claim 1, wherein the peak-to-valley power ratio S is calculated by:
step (1), setting the peak-to-valley output ratio of the reservoir power station A to be 1: n1:n2Wherein: n is1Is the normal section output coefficient, n is more than or equal to 01≤1；n2Is the output coefficient of the low-valley period, n is more than or equal to 02Less than or equal to 1; the peak-to-valley output ratio represents the output ratio of a high peak section, a flat section and a low valley section in one day;
step (2), setting the water level of the reservoir power station A, and the total generated energy in the research period, and combining the peak-to-average valley output ratio of 1: n1:n2And calculating to obtain the output process N of the reservoir power station A1,t；
Step (3), according to the water consumption rate of the reservoir power station A, combining the output process N in the step (2)1,tAnd calculating the time length of each time interval to obtain the outflow process Q of the reservoir power station A1,t；
Step (4), whether the reservoir power station A generates abandoned water is detected, and if the abandoned water is generated, the step (5) is carried out; if no waste water is generated, entering the step (6);
step (5), obtainingReservoir power station B time interval warehousing flow process i2,tConsidering the discharge process Q of the reservoir power station A1,tAnd obtaining the warehousing flow process q of the reservoir power station B in time delay2,tWherein: q. q.s2,t＝Q1,t+Δt+i2,t；
Step (6), correcting the output coefficient n of the reservoir power station A2And entering step (7);
step (7) of judging n2Whether or not it is greater than n1When n is2>n1Correcting the output coefficient n of the reservoir power station A1And returning to the step (2); when n is2≤n1If so, entering the step (8);
step (8), accumulating the warehousing flow q of each time interval2,tObtaining the total quantity Q of the reservoir power station B2 Total；
Step (9), setting the ratio of the peak-to-valley output of the reservoir power station B to be 1: n3:n4Wherein: n is3Is the normal section output coefficient, n is more than or equal to 03≤1；n4Is the output coefficient of the low-valley period, n is more than or equal to 04≤1；
Step (10), simulating the power generation process of the reservoir power station B, judging whether the peak-to-valley outflow ratio meets all constraints in the model when the reservoir power station B operates, and entering step (11) if the peak-to-valley outflow ratio meets the constraints; if all the constraints cannot be met, entering the step (12);
step (11), obtaining a C time interval warehousing flow process i of the reservoir power station3,tLet-down flow process Q2,tAnd obtaining the warehousing flow process q of the reservoir power station B in time delay3,t＝Q2,t+Δt+i3,t；
Step (12), correcting the output coefficient n of the reservoir power station B4And proceeding to step (13);
step (13), judging and correcting the output coefficient n of the reservoir power station B4If n is greater than 1, if4>1, returning to the step (6) to correct the output coefficient of the reservoir power station A; if n is4If the temperature is less than or equal to 1, entering the step (14);
a step (14) of judging n4Whether or not it is greater than n3When n is4>n3Correcting the B output coefficient n of the reservoir power station3(ii) a When n is4≤n3If yes, entering the step (15);
step (15), obtaining a storage flow process i of a C time interval of the reservoir power station3,tLet-down flow process Q2,tAnd obtaining the warehousing flow process q of the reservoir power station B in time delay3,t＝Q2,t+Δt+i3,t；
Step (16), accumulating the warehousing flow q of each time interval3,tObtaining the total quantity Q of the C discharged from the reservoir of the reservoir power station3 Total；
Step (17), setting the peak-valley outflow ratio of the reservoir power station C to be 1:1, and obtaining the discharge flow process Q of the reservoir power station C3,t；
Step (18), simulating the reservoir power station C to operate at a stable discharge flow, judging whether the reservoir power station C can meet various constraints such as unit water passing capacity, reservoir water storage capacity, water balance in each time period and the like, if the reservoir power station C can meet the constraints, finishing the calculation, and obtaining that the ratio of peak-to-valley power of the peak-to-valley of the reservoir power station A is 1: n1:n2Peak regulation potential of 1: n2I.e. S1: n2(ii) a And if all the constraint conditions cannot be met, returning to the step (12).
3. The method of claim 2, wherein the modified output coefficient is obtained by adding 0.1 to the original output coefficient, and the output coefficient comprises n1、n2、n3And n4(ii) a Wherein, in the correction of n1Season n2Each correction n is represented by 01All are n2Starting from zero; at the correction of n3Season n4Each correction n is represented by 03All are n4Starting from zero.
4. The method of claim 2, wherein the constraints include water balance constraints, cascade station water quantity linkage constraints, reservoir storage capacity constraints, cascade letdown capacity constraints, reservoir station unit capacity constraints, and reservoir station output constraints.
5. The method for evaluating the peak shaving capacity of the reservoir power station based on multiple back regulation functions as claimed in claim 4, wherein the water balance constraint is as follows:
Figure FDA0002498862810000041
wherein: vi,t、Vi,t+1The water storage capacity m at the t time and the end of the next time of the ith reservoir power station3；Ri,tThe average warehousing flow m of the ith reservoir power station at the t time period3·s-1；Qi,tIs the generated flow m of the ith reservoir power station at the t time period3·s-1；Di,tIs the water discharge, m, of the i-th reservoir power station at the t-th time period3·s-1。
6. The method for evaluating the peak shaving capacity of the reservoir power station based on the multiple back regulation, as claimed in claim 4, wherein the cascade power station water quantity connection constraint is:
Figure FDA0002498862810000042
wherein: Δ ti-1The time interval number corresponding to the water flow time lag from the ith-1 power plant to the ith power plant; i isi,tAverage inflow of interval from i-1 power plant to i power plant in t period3·s-1。
7. The method for evaluating the peak shaving capacity of the reservoir power station based on the multiple back regulation of claim 4, wherein the reservoir storage capacity constraint is as follows:
Figure FDA0002498862810000043
wherein: vi,min、Vi,maxRespectively the minimum water storage amount and the maximum water storage amount required in the dispatching period of the ith reservoir power station.
8. The method for evaluating the peak shaving capacity of the reservoir power station based on the multiple back regulation, as claimed in claim 4, wherein the step discharge capacity constraint is:
Figure FDA0002498862810000044
wherein: qN,t、QN,t+1The time interval of the last stage of cascade power station is t time interval and t +1 time interval.
9. The method for evaluating the peak shaving capacity of the reservoir power station based on the multiple back regulation functions as claimed in claim 4, wherein the constraint of the water passing capacity of each reservoir power station unit is as follows:
Figure FDA0002498862810000051
wherein: qi,min、Qi,maxRespectively the minimum and maximum discharge flow of the ith reservoir power station.
10. The method of claim 4, wherein the reservoir power station peak shaving capacity assessment based on multiple countermodulation is characterized in that the reservoir power station output constraints are:
Figure FDA0002498862810000052
wherein N isi,minThe minimum allowable power (MW) for the ith reservoir power station depends on the type and characteristics of the water turbine; n is a radical ofi,maxThe installed capacity (MW) of the i-th reservoir power station.
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