CN110348599A - A kind of across basin water station group peak regulation Optimization Scheduling for considering to abandon water risk - Google Patents

A kind of across basin water station group peak regulation Optimization Scheduling for considering to abandon water risk Download PDF

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CN110348599A
CN110348599A CN201910477359.0A CN201910477359A CN110348599A CN 110348599 A CN110348599 A CN 110348599A CN 201910477359 A CN201910477359 A CN 201910477359A CN 110348599 A CN110348599 A CN 110348599A
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周建中
柯生林
莫莉
覃晖
蒋志强
冯仲恺
刘光彪
何飞飞
杨钰琪
邹义博
秦洲
刘斌
胡斯曼
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Huazhong University of Science and Technology
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Abstract

The invention discloses a kind of across basin water station group peak regulation Optimization Schedulings for considering to abandon water risk, comprising the following steps: S1, building GROUP OF HYDROPOWER STATIONS peak regulation Optimal Operation Model；S2, the abandoning water risk size for calculating each step power station；S3, each power station generated energy of abandoning water risk coordinated allocation based on each power station；The optimal solution that S4, the power energy allocation based on each power station calculate the GROUP OF HYDROPOWER STATIONS peak regulation Optimal Operation Model obtains each output of power station graph, completes the scheduling of GROUP OF HYDROPOWER STATIONS combined adjusting peak.By flow frequency come quantitative analysis hydroelectric station surplus water risk, and based on abandoning water value-at-risk coordinated allocation difference basin water station group peak regulation power, it can fully consider the abandoning water risk in each power station, the Runoff Compensation and electric power compensation benefit of different basin water station groups are played, water risk is abandoned to greatly reduce water power in power grid hydroelectric system peak regulation, reduces water power abandoning energy.

Description

A kind of across basin water station group peak regulation Optimization Scheduling for considering to abandon water risk
Technical field
The invention belongs to water power management and running field, more particularly to it is a kind of consider to abandon water risk across Basin Hydropower It stands group's peak regulation Optimization Scheduling.
Background technique
With flourishing for national hydropower, there is huge across the basin water power station of installed capacity in many areas Group.Water power is good peaking power source, carries out peak regulation Optimized Operation to across basin water station group, it is made to give full play to peak regulation effect Benefit has important value to the safe and economic operation of power grid.By reservoir two Phase flow uncertain, waterpower development excessively concentrate and The mating submitting channel construction of power grid relatively lags behind and using wind-powered electricity generation, solar energy as factors such as the intermittent new-energy grid-connecteds of representative Influence, the abandoning water problems that hydroelectric system faces huge peak regulation pressure and persistently highlights, and abandoning water is hydroelectric station operation management Important performance assessment criteria, research Water Electricity Station Circulation Control abandon water risk control and are of great significance.
Currently used across basin water station group peak regulation Optimization Scheduling is not examined when carrying out Water Electricity Station Circulation Control Consider the influence for abandoning water risk factors, peak regulation power distribution is not filled simply according to installed capacity of power station especially between GROUP OF HYDROPOWER STATIONS Divide and consider different basin step regimens, so that water power operation is faced biggish abandoning water risk, cause a large amount of water resource waste.And The existing research for abandoning water risk about Hydropower Stations is based on Runoff Forecast error more and carries out abandoning water risk analysis, to step The quantitative analysis of hydroelectric station surplus water risk is less.
Therefore, cascade hydroelectric station surplus water risk can be quantitatively evaluated, and propose it is a kind of consider abandon water risk across The problem of basin water station group peak regulation Optimization Scheduling is urgent need to resolve.
Summary of the invention
In view of the drawbacks of the prior art, the purpose of the present invention is to provide a kind of across basin water power stations for considering to abandon water risk Group's peak regulation Optimization Scheduling, it is intended to solve existing across basin water station group peak regulation Optimization Scheduling and not consider to abandon water risk Problem.
To achieve the above object, consider that across the basin water station group peak regulation for abandoning water risk optimizes tune the present invention provides a kind of Degree method, comprising the following steps:
S1, building GROUP OF HYDROPOWER STATIONS peak regulation Optimal Operation Model；
S2, the abandoning water risk size for calculating each step power station；
S3, each power station generated energy of abandoning water risk coordinated allocation based on each power station of gained；
The optimal solution that S4, power energy allocation based on each power station of gained calculate GROUP OF HYDROPOWER STATIONS peak regulation Optimal Operation Model excellent obtains Each output of power station graph completes the scheduling of GROUP OF HYDROPOWER STATIONS combined adjusting peak.
Preferably, the GROUP OF HYDROPOWER STATIONS peak regulation Optimal Operation Model in step S1 is with the minimum peak regulation mesh of lotus mean square deviation more than power grid Mark, objective function are as follows:
Wherein, F is lotus mean square deviation, that is, target value more than power grid, and T is peak regulation scheduling slot number, RtFor after GROUP OF HYDROPOWER STATIONS peak regulation The remaining charge values of power grid t period,For schedule periods power grid more than lotus mean value, Ni,tPower output for power station i in the t period, M are power grid Peak regulation hydropower station number, LtFor the peak regulation network load value of t period.
Further, the constraint condition of the above GROUP OF HYDROPOWER STATIONS peak regulation Optimal Operation Model includes:
(1) water Risk Constraint: θ is abandonedi≤θmax
(2) Constraint:
(3) water balance constrains: Vi,t+1=Vi,t+(Ri,t-Qi,t)Δt
(4) letdown flow constrains:
(5) restriction of water level:
(6) units limits:
(7) whole station vibrating area constrains:
(8) power output minimum duration constraint: (Ni,t-τ+1-Ni,t-τ)(Ni,t-Ni,t-1)≥0
(9) water level, flow and power output luffing constraint:
Wherein, θi、θmaxThe abandoning water risk and control for respectively indicating power station i abandon water risk size constraint value, Ni,t、Qi,t And Zi,tPower station i is respectively indicated in the power output of t period, letdown flow and water level, AndPower station i is respectively indicated in the bound binding occurrence of the units limits value of t period, letdown flow and water level, Δ Ni、Δ QiAnd Δ ZiMaximum output, letdown flow and range of stage that power station i allows in adjacent time interval are respectively indicated, when Δ t is scheduling Section hourage,For the generated energy of power station i distribution, Vi,t、Vi,t+1、Ri,tPower station i is respectively indicated in first, the last library of t period Appearance and reservoir inflow,The up-and-down boundary binding occurrence of power station i g group vibrating area is respectively indicated, τ is power station i In at least lasting when number of segment of power output extreme point.
Preferably, hydroelectric station surplus water risk size is defined as power station and meets water level under maximum generation scene in step S2 Control and the corresponding scheduling slot flow frequency of maximum reservoir inflow when not abandoning water specifically include and following calculate step:
S21, the corresponding long serial history two Phase flow data in each power station section of calculation interval step, fitting runoff frequency are chosen Rate-reservoir inflow relation curve obtains each power station difference flow frequency PiSection reservoir inflow
S22, step power station is swum over to from down to Upstream number is 1,2 ..., and N, N are the positive integer more than or equal to 2, I=1 is initialized, the flow frequency P in power station 1 is initialized1=0.5, maximum number of iterations k_max is initialized, wherein k_max Range is the positive integer in section [40,80]；
S23, power station i+1 is calculated in the maximum storage outflow Q for considering to abandon under water risk scenei+1；Preferably, power station i + 1 in the maximum storage outflow for considering to abandon under water risk sceneWherein, QiConsidering to abandon for power station i Maximum storage outflow under water risk scene,For frequency PiCorresponding section reservoir inflow, Qi,ΔIt is right for schedule periods storage capacity difference The storage outflow for the power station i that should be converted into；Preferably, schedule periods storage capacity difference can be according to power station current level and the control of the scheduling end of term Water level processed is calculated；
If S24, Qi+1Minimum storage outflow less than power station constrains Qi+1,min, then Q is enabledi+1=Qi+1,min；If Qi+1Greater than electricity The maximum storage outflow constraint Q to standi+1,max, then Q is enabledi+1=Qi+1,max, updateAnd its corresponding runoff Frequency Pi；
S25, P is enabledi+1=Pi, step S23 and step S24 is until i=N-1 for i=i+1 repetition, power station 1,2 can be obtained ..., The section maximum of N-1 is put in storage corresponding flow frequency P1,P2,…,PN-1And power station N is in the maximum for considering to abandon under water risk scene Storage outflow QN, the reservoir inflow for calculating power station N is QN,r=QN+QN,Δ, then according to flow frequency-reservoir inflow relationship Curve obtains QN,rCorresponding frequency PN；
If S26, PN< P1And QN≠QN,min, then by P1Reduce εPIf PN> P1And QN≠QN,max, then by P1Increase εP, then Again i=1 is enabled；Preferably, εPValue 0.05；
S27, repetition step S23-S26 are iterated, when meeting the condition of convergence or the number of iterations is more than k_max, Stop iteration, gained P1,P2…,PNThe as abandoning water risk size in each power station of step.
Preferably, the condition of convergence described in step S27 is the adjacent flow frequency P adjusted twiceNWith P1Size relation occur Variation or flow frequency PNKnots modification Δ PNMeet Δ PN≤εP。
Preferably in basin the case where only one power station, then power station maximum reservoir inflow Q is directly calculatedr=Q +QΔ, wherein Q is power station maximum generation flow, QΔFor according to the storage outflow of the corresponding conversion of schedule periods storage capacity difference, then basis Flow frequency-reservoir inflow relation curve obtains maximum reservoir inflow QrCorresponding flow frequency P, as current plant abandon water Risk size.
Preferably, each power station generated energy method of abandoning water risk coordinated allocation in step S3 based on each power station of gained include with Lower step:
S31, by GROUP OF HYDROPOWER STATIONS total power generation EtotalBy installed capacity pro rate to each power station, as each power station electricity Distribute initial solution；
S32, to each step hydropower station, the maximum difference for abandoning water value-at-risk is Δ θ between calculating power stationiIfIt will abandon The maximum power station distribution electricity of water value-at-risk increases Δ Ei, the smallest power station distribution electricity of water value-at-risk will be abandoned and reduce Δ Ei, according to Step S2 calculates the abandoning water value-at-risk in current each power station；Preferably,Value is 0.05, Δ EiValue is step hydropower station most ditty Section power output or value are 1MW；Preferably, when the electricity of power station distribution changes, corresponding end water level can change, therefore Abandoning water risk can also change；
S33, repetition step S32 are iterated, untilOr Δ θiNo longer reduce, stops current iteration；
S34, to different Cascade Hydropower Stations on River Basin, the maximum difference for abandoning water risk is Δ θ between calculating different basin steps, if Δ θ > εθ, the basin step total power generation for abandoning water greatest risk is increased into Δ E, the basin step total power generation of water least risk will be abandoned Reduce Δ E, then by the generation adjustment amount Δ E in the basin by installed capacity of power station pro rate to each power station；Preferably, it flows The maximum of domain step abandons the abandoning water greatest risk value that water risk is the basin power station Zhong Ge；Preferably, Δ E value is basin step 1%, ε of total power generationθValue is 0.1；
S35, repetition step S32-S34 are iterated, and repeat electricity adjustment until Δ θ≤εθOr Δ θ no longer reduces, output The electricity of all each power station distribution in basin.
Preferably, the power energy allocation in step S4 based on each power station of gained calculates GROUP OF HYDROPOWER STATIONS peak regulation Optimal Operation Model Optimal solution is excellent to obtain each output of power station graph, complete the method for GROUP OF HYDROPOWER STATIONS combined adjusting peak scheduling specifically includes the following steps:
S41, the adjustable power output P in each power station is determined according to the available water amount of power generating and spare capacity in power stationi,max；
S42, electricity E is distributed according to each power station of across the basin water station group of gainediCalculate αi=Ei/Pi,max, and according to αiFrom small To big sequence, gradually cutting load obtains power station and initially contributes graph Ni,t；
S43, output of power station graph is corrected according to the relevant constraint in GROUP OF HYDROPOWER STATIONS peak regulation Optimal Operation Model Ni,t；Preferably, the relevant constraint in GROUP OF HYDROPOWER STATIONS peak regulation Optimal Operation Model includes the constraint of power station vibrating area, contributes most Small duration constraints and power output luffing constraint；
S44, repeating step S42 and step S43, calculating finishes until all power stations, exports each output of power station graph, Initial feasible solution as peak regulation model；
S45, the power output graph that different power stations in adjustment model are iterated by progressive optimal algorithm, are adjusted until twice Whole target value no longer reduces or reaches the preset the number of iterations of algorithm, it is believed that lotus mean square deviation is minimum more than power grid, stops iteration, output Each output of power station graph at this time.
Preferably, across the basin water station group peak regulation Optimization Scheduling is applied to water power management and running field.
Contemplated above technical scheme through the invention can achieve the following beneficial effects compared with prior art:
1, the present invention provides a kind of across basin water station group peak regulation Optimization Scheduling for considering to abandon water risk, pass through diameter Stream frequency carrys out quantitative analysis hydroelectric station surplus water risk, and electric based on water value-at-risk coordinated allocation difference basin water station group peak regulation is abandoned Amount, can fully consider the abandoning water risk in each power station, utilize the spatial and temporal distributions characteristic of different basin water station group two Phase flows, hair The Runoff Compensation and electric power compensation benefit for waving different basin water station groups reduce water power when having reached power grid hydroelectric system peak regulation and abandon Water risk reduces the beneficial effect of water power abandoning energy.
2, the invention proposes a kind of cascade hydroelectric station surplus water methods of risk assessment of functionization, by by power station most The corresponding scheduling slot flow frequency of maximum reservoir inflow when meeting water level control under big power generation scene and do not abandon water is as abandoning The abandoning water value-at-risk of each step power station can be calculated in the standard of water risk assessment, solve existing abandoning water risk and comment The problem of method of estimating can not carry out quantitative analysis to cascade hydroelectric station surplus water risk, substantially increases the abandoning of assessment step power station The accuracy of water risk.
3, a kind of across basin water station group peak regulation Optimization Scheduling for considering to abandon water risk provided by the present invention, to electricity When the generated energy stood carries out coordinated allocation, the generation capacity allocation in the basin power station Nei Ge is not only carried out, while also having carried out each Generation capacity allocation between basin, the two alternately, until the abandoning water risk entirely across basin water station group is preferably minimized, very well The generated energy for balancing each power station and abandon water value-at-risk, to each power station to generated energy carry out reasonable distribution, greatly reduce water The waste of resource.
Detailed description of the invention
Fig. 1 is a kind of method stream of across basin water station group peak regulation Optimized Operation for considering to abandon water risk provided by the invention Cheng Tu；
Fig. 2 is the practical abandoning water risk and the use resulting abandoning water risk pair of dispatching method provided by the invention of GROUP OF HYDROPOWER STATIONS Than figure；
Fig. 3 is the practical power energy allocation of GROUP OF HYDROPOWER STATIONS and is compared using the resulting power energy allocation of dispatching method provided by the invention Figure；
Fig. 4 is the GROUP OF HYDROPOWER STATIONS combined adjusting peak Optimized Operation result figure obtained using method provided by the invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and It is not used in the restriction present invention.As long as in addition, technical characteristic involved in the various embodiments of the present invention described below Not constituting a conflict with each other can be combined with each other.
To achieve the goals above, the present invention provides a kind of across basin water station group peak regulation optimizations for considering to abandon water risk Dispatching method.
It is as shown in Figure 1 a kind of across basin water station group peak regulation Optimized Operation for considering to abandon water risk provided by the invention Method flow diagram, specifically, the following steps are included:
S1, building GROUP OF HYDROPOWER STATIONS peak regulation Optimal Operation Model, with the minimum peak regulation target of lotus mean square deviation more than power grid, specifically , objective function is as follows:
Wherein, F is lotus mean square deviation, that is, target value more than power grid, and T is peak regulation scheduling slot number, RtFor after GROUP OF HYDROPOWER STATIONS peak regulation The remaining charge values of power grid t period,For schedule periods power grid more than lotus mean value, Ni,tPower output for power station i in the t period, M are power grid Peak regulation hydropower station number, LtFor the peak regulation network load value of t period.
Further, the constraint condition of the above GROUP OF HYDROPOWER STATIONS peak regulation Optimal Operation Model includes:
(1) water Risk Constraint: θ is abandonedi≤θmax
(2) Constraint:
(3) water balance constrains: Vi,t+1=Vi,t+(Ri,t-Qi,t)Δt
(4) letdown flow constrains:
(5) restriction of water level:
(6) units limits:
(7) whole station vibrating area constrains:
(8) power output minimum duration constraint: (Ni,t-τ+1-Ni,t-τ)(Ni,t-Ni,t-1)≥0
(9) water level, flow and power output luffing constraint:
Wherein, θi、θmaxThe abandoning water risk and control for respectively indicating power station i abandon water risk size constraint value, Ni,t、Qi,t And Zi,tPower station i is respectively indicated in the power output of t period, letdown flow and water level, AndPower station i is respectively indicated in the bound binding occurrence of the units limits value of t period, letdown flow and water level, Δ Ni、Δ QiAnd Δ ZiMaximum output, letdown flow and range of stage that power station i allows in adjacent time interval are respectively indicated, when Δ t is scheduling Section hourage,For the generated energy of power station i distribution, Vi,t、Vi,t+1、Ri,tPower station i is respectively indicated in first, the last library of t period Appearance and reservoir inflow,The up-and-down boundary binding occurrence of power station i g group vibrating area is respectively indicated, τ is power station i In at least lasting when number of segment of power output extreme point；
S2, the abandoning water risk size for calculating each power station of step；Specifically, hydroelectric station surplus water risk size is defined as power station The corresponding scheduling slot flow frequency of maximum reservoir inflow when meeting water level control under maximum generation scene and not abandoning water, tool Body includes following appraisal procedure:
S21, the corresponding long serial history two Phase flow data in each power station section of calculation interval step, fitting runoff frequency are chosen Rate-reservoir inflow relation curve obtains each power station difference flow frequency PiSection reservoir inflow
S22, step power station is swum over to from down to Upstream number is 1,2 ..., and N, N are the positive integer more than or equal to 2, I=1 is initialized, the flow frequency P in power station 1 is initialized1=0.5, maximum number of iterations k_max is initialized, wherein k_max Range is the positive integer in section [40,80]；
S23, power station i+1 is calculated in the maximum storage outflow for considering to abandon under water risk scene；Specifically, power station i+1 In the maximum storage outflow for considering to abandon under water risk sceneWherein, QiConsidering to abandon water for power station i Maximum storage outflow under risk scene,For frequency PiCorresponding section reservoir inflow, Qi,ΔIt is corresponding for schedule periods storage capacity difference The storage outflow for the power station i being converted into；Specifically, schedule periods storage capacity difference can be according to power station current level and the control of the scheduling end of term Water level is calculated；
If S24, Qi+1Q is constrained less than minimum storage outflowi+1,min, then Q is enabledi+1=Qi+1,min；If Qi+1Greater than maximum outbound Traffic constraints Qi+1,max, then Q is enabledi+1=Qi+1,max, updateAnd its corresponding flow frequency Pi；
S25, P is enabledi+1=Pi, step S23 and step S24 is until i=N-1 for i=i+1 repetition, power station 1,2 can be obtained ..., The section maximum two Phase flow respective frequencies P of N-11,P2,…,PN-1And maximum of the power station N in the case where considering abandoning water risk scene goes out Library flow QN, calculate the Q of power station NN,rReservoir inflow is QN,r=QN+QN,Δ, then according to flow frequency-reservoir inflow pass It is that curve obtains corresponding frequency PN；
If S26, PN< P1And QN≠QN,min, then by P1Reduce εPIf PN> P1And QN≠QN,max, then by P1Increase εP, then Again i=1 is enabled；Specifically, εPIt can be with value for 0.05；
S27, repetition step S23-S26 are iterated, until meeting the condition of convergence or being more than maximum number of iterations k_max When, stop iteration, gained P1,P2…,PNThe as abandoning water risk size in each power station of step；Specifically, the condition of convergence is adjacent two The flow frequency P of secondary adjustmentNWith P1Size relation change or flow frequency PNKnots modification Δ PNMeet Δ PN≤εP, tool Body, εPIt can be with value for 0.05.
Further, for the case where only one power station, then directly calculating power station maximum reservoir inflow Q in basinr =Q+QΔ, wherein Q is power station maximum generation flow, QΔFor according to the storage outflow of the corresponding conversion of schedule periods storage capacity difference, then root Maximum reservoir inflow Q is obtained according to flow frequency-reservoir inflow relation curverCorresponding flow frequency P, as current plant are abandoned Water risk size.
S3, each power station generated energy of abandoning water risk coordinated allocation based on each power station of gained, specific steps include:
S31, by GROUP OF HYDROPOWER STATIONS total power generation EtotalBy installed capacity pro rate to each power station, as each power station electricity Distribute initial solution；
S32, to each step hydropower station, the maximum difference for abandoning water value-at-risk is Δ θ between calculating power stationiIfIt will abandon The maximum power station distribution electricity of water value-at-risk increases Δ Ei, the smallest power station distribution electricity of water value-at-risk will be abandoned and reduce Δ Ei, according to Step S2 calculates the abandoning water value-at-risk in current each power station；Specifically,Can be with value for 0.05, Δ EiIt can be using value as step electricity Minimal adjustment of standing power output or 1MW；Specifically, corresponding end water level can change when the electricity of power station distribution changes, Therefore abandoning water risk can also change；
S33 repeats step S32 and is iterated, untilOr Δ θiNo longer reduce, stops current iteration；
S34, to different Cascade Hydropower Stations on River Basin, the maximum difference for abandoning water risk is Δ θ between calculating different basin steps, if Δ θ > εθ, the basin step total power generation for abandoning water greatest risk is increased into Δ E, the basin step total power generation of water least risk will be abandoned Reduce Δ E, then by the generation adjustment amount Δ E in the basin by installed capacity of power station pro rate to each power station；Specifically, stream The maximum of domain step abandons the abandoning water greatest risk value that water risk is the basin power station Zhong Ge, and Δ E can be total as basin step using value 1%, ε of generated energyθIt can be with value for 0.1；
S35, repetition step S32-S34 are iterated, and repeat electricity adjustment until Δ θ≤εθOr Δ θ no longer reduces, output The electricity of all each power station distribution in basin.
The optimal solution that S4, power energy allocation based on each power station of gained calculate GROUP OF HYDROPOWER STATIONS peak regulation Optimal Operation Model excellent obtains Each output of power station graph completes the scheduling of GROUP OF HYDROPOWER STATIONS combined adjusting peak, specifically includes the following steps:
S41, the adjustable power output P in each power station is determined according to the available water amount of power generating and spare capacity in power stationi,max；
S42, electricity E is distributed according to each power station of across the basin water station group of gainediCalculate αi=Ei/Pi,max, and according to αiFrom small To big sequence, gradually cutting load obtains power station and initially contributes graph Ni,t；
S43, it constrained according to the power station vibrating area in GROUP OF HYDROPOWER STATIONS peak regulation Optimal Operation Model, contribute minimum duration about Beam and power output luffing constraint amendment output of power station graph Ni,t；
S44, repeating step S42 and step S43, calculating finishes until all power stations, exports each output of power station graph, Initial feasible solution as peak regulation model；
S45, the power output graph that different power stations in adjustment model are iterated by progressive optimal algorithm, are adjusted until twice Whole target value no longer reduces or reaches the preset the number of iterations of algorithm, it is believed that lotus mean square deviation is minimum more than power grid, stops iteration, output Each output of power station graph at this time.
Institute of the present invention is used according to above step so that Hubei grid has Qingjiang Valley and Hanjiang River under its command to power station as an example The GROUP OF HYDROPOWER STATIONS peak regulation Optimization Scheduling of offer based on power energy allocation between power station abandoning water risk coordination station group, and carries out Combined adjusting peak Optimized Operation.Wherein Qingjiang Valley includes water cloth Ya power station, every the power station He Yan and Gaobazhou Hydropower Station, Han River Basin includes Danjiangkou power station, abandoning on pre flood period May 20 to June 20 water risk control size θ in 2015maxIt is 0.1；Such as Fig. 2 is shown the practical abandoning water risk of GROUP OF HYDROPOWER STATIONS and is compared using the resulting abandoning water risk of dispatching method provided by the invention Figure, solid line are practical abandoning water risk versus time curve, and dotted line is to use the resulting abandoning of dispatching method provided by the invention Water risk versus time curve, the abandoning water value-at-risk of rolling development is larger during actual schedule as seen from the figure, causes The preceding power station of major flood season arrival, which need to increase down to let out, causes step to generate abandoning water, and uses provided by the invention based on hydroelectric station surplus water wind After dangerous each peak-load regulation electricity of coordinated allocation, obtains the practical power energy allocation of GROUP OF HYDROPOWER STATIONS as shown in Figure 3 and mentioned with using the present invention The resulting power energy allocation comparison diagram of the dispatching method of confession, as seen from the figure, electricity adjustment reduces between pervious step on June 15 The generated energy in water cloth a strip of land between hills power station, while the generated energy every the power station He Yan is increased, so that the abandoning water risk every river rock is reduced, And across the basin electricity adjustment after June 15 increases the generated energy in Danjiangkou power station, while reducing water cloth a strip of land between hills water power The generated energy stood, to reduce the abandoning water risk every the power station He Yan；Further, it abandons water value-at-risk also to be changed, adopt After power energy allocation method provided by the present invention, the abandoning water risk control of rolling development is below 0.1 as seen from Figure 2 Lg (100*0.1) in corresponding diagram, 1 hereinafter, and abandoning 0.86 hundred million m of discharge reduction compared with actual motion scheduling process3, Reduce the significant effect for abandoning water.Meanwhile for using power energy allocation method provided by the invention power energy allocation as a result, to 6 As a result month progresss combined adjusting peak Optimized Operation on the 20th is illustrated in figure 4 the GROUP OF HYDROPOWER STATIONS that use method provided by the invention obtains Combined adjusting peak Optimized Operation result figure, each output of power station graph can be traced power grid peak valley and change as seen from the figure, by power grid Load mean square deviation drops to 3592 from 682126, peak regulation significant effect.
As it will be easily appreciated by one skilled in the art that the foregoing is merely illustrative of the preferred embodiments of the present invention, not to The limitation present invention, any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should all include Within protection scope of the present invention.

Claims (8)

1. a kind of across basin water station group peak regulation Optimization Scheduling for considering to abandon water risk, which is characterized in that including following step It is rapid:
S1, building GROUP OF HYDROPOWER STATIONS peak regulation Optimal Operation Model；
S2, the abandoning water risk size for calculating each step power station；
S3, each power station generated energy of abandoning water risk coordinated allocation based on each power station；
The optimal solution that S4, the power energy allocation based on each power station calculate the GROUP OF HYDROPOWER STATIONS peak regulation Optimal Operation Model obtains respectively Output of power station graph completes the scheduling of GROUP OF HYDROPOWER STATIONS combined adjusting peak.
2. across basin water station group peak regulation Optimization Scheduling according to claim 1, which is characterized in that described in step S2 Method the following steps are included:
S21, the corresponding long serial history two Phase flow data in each power station section of calculation interval step is chosen, is fitted flow frequency- The relation curve of reservoir inflow obtains the section reservoir inflow of each power station difference flow frequency；
S22, step power station is swum over to from down to Upstream number is 1,2 ..., and N, N are the positive integer more than or equal to 2, initially Change i=1, initializes the flow frequency P in power station 11=0.5, maximum number of iterations k_max is initialized, wherein the range of k_max For the positive integer in section [40,80]；
S23, power station i+1 is calculated in the maximum storage outflow Q for considering to abandon under water risk scenei+1；
If S24, the Qi+1Minimum storage outflow less than power station i+1 constrains Qi+1,min, then Q is enabledi+1=Qi+1,min；If described Qi+1Maximum storage outflow greater than power station i+1 constrains Qi+1,max, then Q is enabledi+1=Qi+1,max, update QPi=Qi+QΔi-Qi+1And Its corresponding flow frequency Pi；
S25, P is enabledi+1=Pi, step S23 and step S24 is until i=N-1 for i=i+1 repetition, power station 1,2 can be obtained ..., N-1's Section maximum two Phase flow respective frequencies P1,P2,…,PN-1And power station N is in the maximum outbound stream for considering to abandon under water risk scene Measure QN, the reservoir inflow for calculating power station N is QN,r=QN+QN,Δ, then bent according to the relationship of the flow frequency-reservoir inflow Line obtains QN,rCorresponding flow frequency PN；
If S26, PN< P1And QN≠QN,min, then by P1Reduce εPIf PN> P1And QN≠QN,max, then by P1Increase εP, then again Enable i=1；
S27, repetition step S23-S26 are iterated, and when meeting the condition of convergence or the number of iterations is more than k_max, are stopped Iteration, gained P1,P2…,PNThe as abandoning water risk size in each power station of step.
3. across basin water station group peak regulation Optimization Scheduling according to claim 2, which is characterized in that in basin The case where only one power station, directly calculating power station maximum reservoir inflow Qr=Q+QΔ, then according to flow frequency-storage stream The relation curve of amount obtains maximum reservoir inflow QrCorresponding flow frequency, as the abandoning water risk size of current plant, wherein Q is power station maximum generation flow, QΔFor according to the storage outflow of the corresponding conversion of schedule periods storage capacity difference.
4. across basin water station group peak regulation Optimization Scheduling according to claim 2, which is characterized in that the convergence item Part is the adjacent flow frequency P adjusted twiceNWith P1Size relation change or flow frequency PNKnots modification Δ PNMeet ΔPN≤εP。
5. across basin water station group peak regulation Optimization Scheduling according to claim 1, which is characterized in that described in step S3 Method the following steps are included:
S31, by GROUP OF HYDROPOWER STATIONS total power generation by installed capacity pro rate to each power station, it is initial as each power station power energy allocation Solution；
S32, to each step hydropower station, the maximum difference for abandoning water value-at-risk is Δ θ between calculating power stationiIf Δ θi> εθi, water will be abandoned The maximum power station distribution electricity of value-at-risk increases Δ Ei, the smallest power station distribution electricity of water value-at-risk will be abandoned and reduce Δ Ei, according to step Rapid S2 calculates the abandoning water value-at-risk in current each power station；
S33, step S32 progress electricity adjustment is repeated until Δ θi≤εθiOr Δ θiNo longer reduce, stops current iteration；
S34, to different Cascade Hydropower Stations on River Basin, the maximum difference for abandoning water risk is Δ θ between calculating different basin steps, if Δ θ > εθ, The basin step total power generation for abandoning water greatest risk is increased into Δ E, the basin step total power generation for abandoning water least risk is reduced Δ E, then by the generation adjustment amount Δ E in the basin by installed capacity of power station pro rate to each power station；
S35, repetition step S32-S34 are iterated, and repeat electricity adjustment until Δ θ≤εθOr Δ θ no longer reduces, and stops iteration, It exports each power station of across basin water station group and distributes electricity.
6. across basin water station group peak regulation Optimization Scheduling according to claim 1, which is characterized in that described in step S4 Method the following steps are included:
S41, the adjustable power output P in each power station is determined according to the available water amount of power generating and spare capacity in power stationi,max；
S42, electricity E is distributed according to across basin water each power station of station groupiCalculate αi=Ei/Pi,max, and according to αiFrom small to large Sequence gradually cutting load obtains power station and initially contributes graph Ni,t；
S43, output of power station graph is corrected according to the relevant constraint in the GROUP OF HYDROPOWER STATIONS peak regulation Optimal Operation Model Ni,t；
S44, repeating step S42 and step S43, calculating finishes until all power stations, exports each output of power station graph, as The initial feasible solution of peak regulation model；
S45, it is iterated the power output graph for adjusting different power stations in the model by progressive optimal algorithm, is adjusted until twice Whole target value no longer reduces or reaches the preset the number of iterations of algorithm, it is believed that lotus mean square deviation is minimum more than power grid, stops iteration, output Each output of power station graph at this time.
7. across basin water station group peak regulation Optimization Scheduling according to claim 6, which is characterized in that the correlation is about Beam condition includes the constraint of power station vibrating area, the constraint of power output minimum duration and power output luffing constraint.
8. across basin water station group peak regulation Optimization Scheduling according to claim 1, which is characterized in that described across basin GROUP OF HYDROPOWER STATIONS peak regulation Optimization Scheduling is applied to water power management and running field.
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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110912200A (en) * 2019-10-21 2020-03-24 贵州电网有限责任公司 Cascade hydropower station optimal scheduling system and method and safety power grid system
CN111079297A (en) * 2019-12-20 2020-04-28 华中科技大学 Method and system for calculating combined pre-flood settlement opportunity of cascade reservoir
CN111827219A (en) * 2020-07-20 2020-10-27 广西中科聚能环保投资有限公司 Construction method of flood control and pumped storage power station
CN113780628A (en) * 2021-08-16 2021-12-10 西安交通大学 Method and device for constructing cascade hydropower dispatching model, electronic equipment and storage medium
CN114186640A (en) * 2021-12-14 2022-03-15 国家电网公司华中分部 Prediction method for overall power generation capacity of regional hydropower
CN114862287A (en) * 2022-07-06 2022-08-05 国能大渡河大数据服务有限公司 Risk benefit analysis method, system, terminal and medium for cascade power station group scheduling
CN115619189A (en) * 2022-11-09 2023-01-17 中国南方电网有限责任公司 Waste water scheduling method and device considering cascade hydroelectric waste water flow limitation
CN115879674A (en) * 2023-02-21 2023-03-31 珠江水利委员会珠江水利科学研究院 Cascade reservoir scheduling model correction method based on double-layer gradual trial calculation

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104537576A (en) * 2014-12-23 2015-04-22 贵州乌江水电开发有限责任公司 Pre-control and dispatching model and method for surplus water probabilities in inter-basin hydropower station group

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104537576A (en) * 2014-12-23 2015-04-22 贵州乌江水电开发有限责任公司 Pre-control and dispatching model and method for surplus water probabilities in inter-basin hydropower station group

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
袁柳: ""水电站短期发电调度不确定性问题及优化方法"", 《中国博士学位论文全文数据库 工程科技Ⅱ辑》 *

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CN111827219A (en) * 2020-07-20 2020-10-27 广西中科聚能环保投资有限公司 Construction method of flood control and pumped storage power station
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