CN107274302A - It is a kind of transprovincially to interconnect the long-term combined adjusting peak dispatching method of GROUP OF HYDROPOWER STATIONS - Google Patents

It is a kind of transprovincially to interconnect the long-term combined adjusting peak dispatching method of GROUP OF HYDROPOWER STATIONS Download PDF

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CN107274302A
CN107274302A CN201710545357.1A CN201710545357A CN107274302A CN 107274302 A CN107274302 A CN 107274302A CN 201710545357 A CN201710545357 A CN 201710545357A CN 107274302 A CN107274302 A CN 107274302A
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power station
power
peak
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group
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CN107274302B (en
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申建建
程春田
孙立飞
苏承国
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Dalian University of Technology
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Dalian University of Technology
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    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract

The present invention relates to hydroelectric generation scheduling field, a kind of interconnection long-term combined adjusting peak dispatching method of GROUP OF HYDROPOWER STATIONS transprovincially is disclosed.Technical scheme is:GROUP OF HYDROPOWER STATIONS Model for Multi-Objective Optimization is set up with Energy Maximization and the typical day minimum target of peak-valley ratio of withered phase, utilize regulation performance difference between water regime and power supply between area basin transprovincially, by power station by residing interval packet of exerting oneself, coordinate power station computation sequence stage by stage;Send receiving end GROUP OF HYDROPOWER STATIONS optimal water level process using successive optimization and the optimization of Dynamic Programming Approach by inchmeal coupling algorithm, and load is faced according to the conveying restriction reconstruct sending end of DC link transprovincially, typical daily output process is determined with gradually Emergency Control Strategy, the long-term power energy allocation scheme of GROUP OF HYDROPOWER STATIONS and typical day power process of each moon are obtained by iteration optimization.The present invention, which can make full use of, send receiving end GROUP OF HYDROPOWER STATIONS compensation adjustment characteristic, the long-term electrical demand of significant response power network and short-term peak regulation demand, and meeting Huge Power Station, transprovincially transregional power transmission scheduling is actually needed.

Description

It is a kind of transprovincially to interconnect the long-term combined adjusting peak dispatching method of GROUP OF HYDROPOWER STATIONS
Technical field
The present invention relates to hydroelectric generation scheduling field, a kind of more particularly to long-term combined adjusting peak of GROUP OF HYDROPOWER STATIONS of interconnection transprovincially is adjusted Degree method.
Background technology
With being generated electricity by way of merging two or more grid systems in Jinsha jiang River, Yalongjiang River, the especially big basin Huge Power Station cluster in the Lancang River, China's transprovincially area's water Electric conveying scale drastically expands, maximum can conveying capacity more than 68,000,000 kW, so extensive feed-in water power is to receiving end power network Influence significantly increase, and with being constituted extremely complex interconnection hydroelectric system transprovincially by water power in end regions, to cooperate with Meet the supply of receiving end grid power and the complex task demand such as Load Regulation, to receiving end grid dispatching management bring new challenge and Problem.On the one hand, these GROUP OF HYDROPOWER STATIONSs cover multiple provinces, there is greatest differences, and water in terms of the hydrology, geography, meteorology Storehouse series and parallel is simultaneously deposited, and regulation performance is various, and hydraulic connection intercouples with power communication, is considerably increased modeling and is solved hardly possible Degree;On the other hand, transprovincially interconnection water power scheduling need take into account send by the power network at two ends and power station operation control require, how from While body maximizing the benefits, take into account the long-term electricity of power network and coordinate and short term regulatory demand, be transprovincially to interconnect hydroelectric system Need the new problem solved.
About the scheduling of trans-regional water power transprovincially research with extra-high voltage direct-current water power convey the continuous increase of scale by More concerns, part research is directed to single basin step transprovincially power transmission problem, such as Hongsuihe River mainstream power transmission Guangdong and Guangxi, gold Sha Jiang downstreams power transmission Guangdong, Zhejiang etc., have carried out the short-term peak regulating method transprovincially of water power and have studied;It is another to there are indivedual researchs to be directed to direct current water Electricity by the electric power distribution problem between the multiple provincial power networks of end regions, carried out net save two-stage coordinate in short term peak regulating method research, These research reports primarily focus on the short-term transprovincially of net province coordination or single basin step of the direct water in by end regions Peak regulation is dispatched, and rarely has research uniformly to account for sending end and receiving end power supply, is more not directed to long and short phase Multiple Time Scales coupling Complicated dispatching requirement, this problem is the technical bottleneck that a wide range of transport arrangement of China's water power faces, and needs applicable theory side badly Method and technology.Achievement of the present invention relies on Nsfc Major plan emphasis to support project (91547201) and country certainly Right science fund general project (51579029), problem is coordinated and optimized as the back of the body using the extra-high force feed receiving end GROUP OF HYDROPOWER STATIONS in small stream-Zhejiang for a long time Scape, has invented with stronger practical value and has been widely popularized a kind of long-term combined adjusting peak scheduling of the GROUP OF HYDROPOWER STATIONS of interconnection transprovincially of value Method.
The content of the invention
The long-term combined adjusting peak dispatching method of GROUP OF HYDROPOWER STATIONS is transprovincially interconnected the technical problem to be solved in the present invention is to provide a kind of, This method can take into account the long-term electrical demand and the peak regulation demand of typical day of power system, and power system is alleviated from long-term angle Short-term peak regulation pressure, while being instructed to realize the Tendency analysis of the long-term electricity of water power according to the short-term peak regulation index of power network, to lift water The formulation efficiency and accuracy rate of power station shot and long term scheduling scheme.
The technical scheme is that:
It is a kind of transprovincially to interconnect the long-term combined adjusting peak dispatching method of GROUP OF HYDROPOWER STATIONS, comprise the following steps:
Step 1. read basic data, initialize calculating parameter, including transprovincially interconnect power station service condition constraint and Control condition constraint, transregional direct water Transmission constraints, calculated by power network monthly average load, long-term typical daily load etc. Parameter;
Step 2. sets up the interconnection long-term combined adjusting peak Optimal Operation Model of GROUP OF HYDROPOWER STATIONS transprovincially, and the model is with Energy Maximization With the typical day minimum optimization aim of peak regulation peak-valley ratio of withered phase;
Step 3. is target to the maximum with conventional power generation usage amount and send receiving end GROUP OF HYDROPOWER STATIONS to optimize calculating to transprovincially interconnecting, generation Model initial solution, while recording the maximum R of now power network withered phase each moon typical day remaining load peak-valley ratio0
Step 4. sets withered phase minimum load peak-valley ratio constraint R=R0-0.01;
Step 5. makes iterations k=0.
Step 6. makes calculation interval t=1, and it is hop count when schedule periods are total to define T;
Step 7. will send receiving end power station to be grouped according to affiliated basin, and meter total number packets are N groups;
If step 8. k>0;Determine whether that power station two benches water level process changes.If so, then resetting flow search Step-length, goes to step 9.If nothing, t=t+1 is made, if t>T, goes to step 15, otherwise repeats this step;
Step 9. judges whether the power station for participating in calculating is in flood season, if so, then preferentially being calculated, otherwise, in flood Calculated again after phase power optimization.The power station group sequence that order calculates highest priority is defined as n=0;
Step 10. under given goal condition, the constraint of processing peak-valley ratio, transregional direct water Transmission constraints, with And other conventional hydropower station constraintss, using POA-DDDP algorithm search model two benches optimal flux processes;Simultaneously with by Secondary cutting load method handles the two stage typical daily output process of power station t and t+1, calculates the typical day minimum load peak-valley difference of two benches Rate RtAnd Rt+1
Step 11. makes n=n+1, if n<N, then repeat step 10, otherwise go to step 12;
Step 12. repeat step 9-11, judges whether power station water level process has change in the adjacent group of optimizing result twice, if Nothing, then go to step 13, otherwise, repeat step 12;
Step 13. reduces flow search progress, judges now whether flow search progress meets schedule requirement, if so, turning Step 9;Otherwise, 14 are gone to step;
Step 14. makes t=t+1, if t>T, then make k=k+1, goes to step 15;Otherwise, 8 are gone to step;
Step 15. judges whether each power station water level process epicycle iteration has change, if nothing, goes to step 16;Otherwise, go to step 6.;
Step 16. counts maximum peak-valley ratio R of typical day in each moon in withered month phasemax=max { Rt′, t ' includes all withered phases Month;
If step 17. Rmax<R, then export this and calculate scheduling scheme and withered phase minimum load peak-valley ratio binding occurrence R, make For a feasible program, and go to step 4;Otherwise calculate and terminate.
Prior art is contrasted, implements technical scheme, following beneficial effect can be achieved:Method proposed by the present invention Transprovincially power transmission GROUP OF HYDROPOWER STATIONS can be made full use of to send the power station water regime difference by two ends, GROUP OF HYDROPOWER STATIONS transprovincially is effectively played and mend Scheduling effect is repaid, while taking into account the long-term Utility of Energy of hydroelectric system and receiving end power balance demand.And take into full account low water Phase power network typical case's daily load characteristic, while coordinated allocation long-term electricity, reduces the typical lotus peak-valley ratio more than day of power network, has Effect improves the long-term benefit of peak regulation of generated energy and power network of hydroelectric system.And because of the GROUP OF HYDROPOWER STATIONS coordination side of the invention transprovincially carried Method influences very little to power transmission operation pattern of plant outside existing area, is the transregional conveying extensive transprovincially of China's extra-high voltage direct-current water power There is provided a kind of technological means of highly effective.
Brief description of the drawings
Fig. 1 is the typical daily output interval diagram in the withered phase power station of flood;
Fig. 2 is to send receiving end power station hierarchy optimization sequential schematic;
Fig. 3 is POA-DDDP two benches subproblem search procedure schematic diagrames;(a) it is the optimizing stage first round, (b) is second Take turns the optimizing stage;
Fig. 4 is the interval flow drag multi-scheme peak-valley ratio-generated energy distribution situation figure of 50% typical case;
Fig. 5 is each moon generated energy comparison diagram of typical scenario GROUP OF HYDROPOWER STATIONS;
Fig. 6 is that scheduling scheme is crossed in institute's extracting method typical scenario small stream Lip river of the present invention and actual schedule scheme is exerted oneself and water level process Comparison diagram;(a) it is process comparison diagram of exerting oneself, (b) is water level process comparison diagram;
Fig. 7 is that institute's extracting method typical scenario beach hole scheduling scheme of the present invention is exerted oneself and water level process pair with actual schedule scheme Than figure;(a) it is process comparison diagram of exerting oneself, (b) is water level process comparison diagram.
Wherein:R in Fig. 5, Fig. 6, Fig. 7 represents peak-valley ratio.
Embodiment
The long-term combined adjusting peak dispatching method of GROUP OF HYDROPOWER STATIONS is transprovincially interconnected the present invention relates to a kind of, below in conjunction with accompanying drawing and example The invention will be further described.
Transprovincially interconnection GROUP OF HYDROPOWER STATIONS Long-term Optimal Dispatch plans in establishment process by power network shot and long term part throttle characteristics, transprovincially The factors such as transmission line of electricity is constrained in short term, power station regimen, unit maintenance influence.The inventive method mainly solves four aspects Key issue:One is how to set up interconnection GROUP OF HYDROPOWER STATIONS joint optimal operation model transprovincially;How two be using transprovincially interconnecting The withered phase difference of GROUP OF HYDROPOWER STATIONS flood, plays the scheduling characteristic in power station under different hydrologic regimes;Three be how to solve power transmission electricity transprovincially Stand and its typical day constraint of transmission line of electricity, the typical daily output problem in processing power transmission power station, four be how effective search GROUP OF HYDROPOWER STATIONS Optimal water level process, illustrates the solution of four aspect problems individually below.
(a) GROUP OF HYDROPOWER STATIONS joint optimal operation model is transprovincially interconnected
In general, the target of the long-term generation optimization scheduling of GROUP OF HYDROPOWER STATIONS is that, using year as dispatching cycle, the moon or ten days are calculating Period, by determining that the optimal mean monthly stage process in each power station in schedule periods realizes that long-term electricity optimizes, its scheduling result is related to And the on-road efficiency of power station and power network.Compared with conventional hydropower scheduling model, transprovincially power transmission water power and receiving end power network GROUP OF HYDROPOWER STATIONS Scheduling is on the basis of sending end GROUP OF HYDROPOWER STATIONS operation control condition is considered, in addition it is also necessary to take into account direct water interconnection complexity transmission of electricity limit Beam is restricted, the time and space usage of model is even closer, solve difficulty bigger.The model that the present invention is constructed uses Energy Maximization and withered The minimum target of typical case water phase, residue load peak-valley ratio day, to take into account the tune of the long-term electricity optimization of GROUP OF HYDROPOWER STATIONS and short-term peak regulation Degree demand.Object function is expressed as follows respectively:
Energy Maximization:Total hydroelectric system Energy Maximization is target using in schedule periods.
Withered phase typical day, remaining load peak-valley ratio was minimum:The peak regulation that peak-valley ratio embodies power system day internal loading is difficult Degree, if remaining load peak-valley ratio reduces, the peak regulation pressure that other power supplys such as thermoelectricity face load is smaller;Otherwise the tune of power supply Peak pressure power is bigger.
In formula:F1Represent the target of Energy Maximization, F2Represent the mesh of remaining load peak-valley ratio minimum of withered phase typical day Mark, m represents that power station is numbered, and M represents the power station sum for participating in calculating, M1Represent the sum of power station inside the province for participating in calculating, M2Represent ginseng With the sum of power station outside the province of calculating, t represents that scheduling slot is numbered, and Δ t represents the period of long-term dispatch, and T represents whole scheduling week Phase, T2The set of withered month phase in water power dispatching cycle is represented, i represents segment labeling during typical day, and I represents that typical period day is total Length, Cday represents the typical daily load of power network, unit MW.
Long-term Hydropower Station is constrained
(1) last restriction of water level:Zm,T=Z'm (3)
(2) water balance is constrained:Vm,t+1=Vm,t+(Qm,t-qm,t-qdm,tt (4)
In formula:
(3) storage outflow is constrained:
(4) generating flow is constrained:
(5) reservoir level is constrained:
(6) output of power station is constrained:
(7) the maximum conveyance capacity constraint of aerial drainage equipment:
In formula:Vm,tRepresent gross reservoir capacitys of the power station m in period t;Qm,tRepresent power station m in period t reservoir inflow, qm,t Generating flows of the power station m in period t is represented, K represents power station m power stations number immediately upstream, and k represents that upstream power station is numbered, Inm,t Represent power station m in period t interval flow, Sk,tRepresent k-th of power station m storage outflow of the power station in period t immediately upstream; qdm,tRepresent that power station m abandons water-carrying capacity in period t;Δ t represents t period hourages;Zm,TRepresent power station m in dispatching cycle Mo Water level;Represent the generating flow upper limits of the power station m in period t;Sm,tStorage outflows of the power station m in period t is represented,WithStorage outflow bounds of the power station m in period t is represented respectively;Zm,tRepresent that power station m goes out reservoir level in period t,WithReservoir level bounds of the power station m in period t is represented respectively;pm,tPower station m exerting oneself in period t is represented,WithRespectively The bounds exerted oneself of the power station m in period t is represented,Represent maximum discharge capacities of the power station m in period t.
Power station typical case day constraint
(1) typical day Constraint
Em,t=Em,t′ (11)
E in formulam,tAnd Em,t' total electricity and demand electricity of the power station m in t-th of scheduling slot corresponding typical day is represented respectively Amount.Em,t' determination mode be:
C in formulatRepresent t-th of scheduling month average load demand.
(2) typical sunrise activity of force bound
Pday in formulam,i,tPower station m exerting oneself at the period t corresponding typical day i moment is represented,WithRespectively Represent exert oneself bounds of the power station m at the period t corresponding typical day i moment.
(3) typical daily output Climing constant
|Pdaym,i,t-Pdaym,i-1,t|≤ΔPdaym (14)
Δ Pday in formulamRepresent power station m luffing limitation of exerting oneself.
(4) typical daily output duration constraints
(Pdaym,i-Δ+1,t-Pdaym,i-Δ,t)(Pdaym,i,t-Pdaym,i-1,tΔ=1,2 of) >=0 ... vm (15)
vmRepresent power station m minimaxs conveying power at least lasting when hop count.
DC power transmission line typical case's day constraint
(1) typical day conveying power bound
In formulaWithDivide above and below than representing that direct water transmission line of electricity is exerted oneself at period t correspondences typical moment day i Limit.
(2) typical day power transmission power luffing constraint
Δ P in formulaLine m, tRepresent the typical day power transmission power luffing limitation of direct water transmission line of electricity.
(3) typical day power transmission power duration constraint
V in formulaLineRepresent direct water transmission line of electricity minimax conveying power at least lasting when hop count
(b) coordination approach stage by stage of the withered phase difference of flood is considered
Transprovincially interconnection GROUP OF HYDROPOWER STATIONS crosses over multiple provinces, send receiving end power station to have obvious water regime difference, is generally in Reveal flood withered phase asynchronous characteristic, to play its complementary coordination ability, power station is grouped stage by stage within dispatching cycle Coordinated scheduling.The receiving end power station flood withered phase asynchronous period is being sent, the operating position that two places power station undertakes in typical daily load is not Together, wherein the power station in flood season undertakes base lotus, withered phase power station undertakes peak load, as shown in Figure 1.
Obviously this power station should try one's best in flood season in stage plays electricity ability, is not limited by peak-valley ratio constraint, its target should be Energy Maximization;Withered phase power station is to reduce the typical daily load peak-valley ratio of power network as main target, to adjust itself each moon electricity Distribution, compensation flood season power station.Flood season power station is first put into calculating herein, the typical case deducted after the typical daily output in flood season power station is calculated Day remaining load Cdayi,t R
On this basis, with lotus Cday more than typical dayi,t RLoad is faced as withered phase power station, withered phase power station is tried Calculate, calculate the remaining load Cday for further deducting the typical daily output in withered phase power stationi,t R2
The typical day peak-valley ratio constraint that now power station of withered phase faces is represented by:
I represents segment number during typical day in formula, and t represents that month numbers, and m represents that power station is numbered, and I represents typical day total period Number, R0Represent peak-valley ratio, MFloodFlood season power station sum is represented, M represents all power station sums, Cdayi,t R1Represent to deduct flood season electricity Stand the remaining load of typical day of typical daily output, Cdayi,tRepresent typical day original loads, Pdaym,i,tRepresent m power stations Typical daily output, Cdayi,t R2Represent to deduct the remaining load of typical day after the typical daily output in all power stations.
Each moon electricity in withered phase power station is redistributed by the constraint of paddy rate, the global object of typical day peak regulation is realized, with reference to Above-mentioned steps, Structure matrix is as shown in Figure 2.
(c) transprovincially power transmission power station typical day constrains processing method
Receiving end power station can determine its typical daily generation according to formula (12), and then can according to ripe gradually cutting load method Processing typical day power station constraint (11)-(15), solve its typical daily output process.The transprovincially typical day power process in power transmission power station In addition to dependent station itself is constrained, also limited by formula (16)-(18) extra high voltage direct current transmission line constraint, it is directly negative using gradually cutting Lotus method solves its typical daily output process, it is impossible to constrained while meeting two aspects.Therefore, the present invention is reconstructed power transmission water power transprovincially That stands group faces load typical day, makes to face load and meets UHV transmission line constraint naturally, then is asked with gradually cutting load method The typical daily output process in each power station is solved, to ensure the typical day gross capability of sending end station group while meeting constraint (11)-(18), specifically Step is as follows:
(1) each sending end power station typical day power transmission electricity E is determined according to formula (12)m,t
(2) a virtual power station is constructed, sending end GROUP OF HYDROPOWER STATIONS is substituted, its typical bu power distributing amount and every constraint representation are such as Under:
Typical day electricity:Et=E1,t+E2,t+…+EM,t
Virtual output of power station bound constraint:
Virtual output of power station Climing constant:
Virtual power station EIAJ duration constraints:
(PdayVoid, i- Δs+1, t-PdayVoid, i- Δs, t)(PdayVoid, i, t-PdayVoid, i-1, t) >=0, Δ=1,2 ... vIt is empty
In formulaRepresent virtual power station minimax conveying power at least lasting when hop count. So far, the typical daily output process in the virtual power station can meet UHV transmission line described in formula and constrain.
(3) load is faced using the typical daily load of power network as virtual power station, is determined using gradually cutting load method virtual Power station typical case's daily output process { P1,t,P2,t,…,P24,t}。
(4) it is not so good as virtual power station because sending end GROUP OF HYDROPOWER STATIONS peak modulation capacity is actual, therefore the process of exerting oneself in virtual power station is added One radix load, reconstruct sending end power station faces load Pα, its 24 power process values are { P1,t+PBase,P2,t+PBase,…,P24,t +PBase}。
(5) with PαLoad is faced as sending end GROUP OF HYDROPOWER STATIONS, each power transmission power station typical day is determined in gradually cutting load method Exert oneself process, now power transmission power station can meet the typical day constraint in power station and the typical day constraint of extra high voltage line simultaneously.
(d) optimal water level search strategy
The optimal water level process of GROUP OF HYDROPOWER STATIONS is transprovincially interconnected using POA-DDDP Algorithm for Solving herein.POA-DDDP two benches Problem search process schematic is as shown in figure 4, specific Optimization Steps are expressed as follows:
(1) t=1, m=1, n=1 are made;
(2) water level and t+1 period Mo water levels at the beginning of fixing n-th power station t period of m groups, with the storage outflow of t periodsMake For decision variable, according to set initial flow discrete steps ε, each power station storage outflow in n-th group is existedCarry out up and down it is discrete, with 3 storage outflow numerical value are respectively obtained, are designated asAll power stations in groupConstitute 3MnIt is individual Assembled state;
(3) successively in b=1,2 ..., 3MnWhen calculating is adjusted according to upstream and downstream order:Power station in packet calculates its t Period storage outflow, t period constant flow controls, the t+1 periods determine water level regulation;The power station of the outer reservoir inflow change of packet carries out t Determine water level regulation with the t+1 periods.According to the typical day constraint in the processing power station, and with gradually cutting load method update power station t and The typical day of t+1 periods is born and exerted oneself, the difference of calculating target function and penalty value;
(4) n=n+1 is made, if n=this group of main switching station number N, m=m+1 go to step 5;Otherwise 2 are gone to step;
(5) if m=main switching station group number M, go to step 6;Otherwise 2 are gone to step;
(6) ε=ε/2 are made, if ε meets required precision, subproblem search terminates;Otherwise 1 is gone to step.
(e) overall method for solving step
With reference to the resolving ideas of above-mentioned key issue, the once long-term combined adjusting peak scheduling of the complete GROUP OF HYDROPOWER STATIONS of interconnection transprovincially Method optimization process can be stated as follows:
Step 1. read basic data, initialize calculating parameter, including transprovincially interconnect power station service condition constraint and Control condition constraint, transregional direct water Transmission constraints, calculated by power network monthly average load, long-term typical daily load etc. Parameter;
Step 2. sets up the interconnection long-term combined adjusting peak Optimal Operation Model of GROUP OF HYDROPOWER STATIONS transprovincially, and the model is with Energy Maximization With the typical day minimum optimization aim of peak regulation peak-valley ratio of withered phase;
Step 3. is target to the maximum with conventional power generation usage amount and send receiving end GROUP OF HYDROPOWER STATIONS to optimize calculating to transprovincially interconnecting, generation Model initial solution, while recording the maximum R of now power network withered phase each moon typical day remaining load peak-valley ratio0
Step 4. sets withered phase minimum load peak-valley ratio constraint R=R0-0.01;
Step 5. makes iterations k=0.
Step 6. makes calculation interval t=1, and it is hop count when schedule periods are total to define T;
Step 7. will send receiving end power station to be grouped according to affiliated basin, and meter total number packets are N groups;
If step 8. k>0;Determine whether that power station two benches water level process changes.If so, then resetting flow search Step-length, goes to step 9.If nothing, t=t+1 is made, if t>T, goes to step 15, otherwise repeats this step;
Step 9. judges whether the power station for participating in calculating is in flood season, if so, then preferentially being calculated, otherwise, in flood Calculated again after phase power optimization.The power station group sequence that order calculates highest priority is defined as n=0;
Step 10. is given under goal condition, processing peak-valley ratio constraint, transregional direct water Transmission constraints and other Conventional hydropower station constraints, using POA-DDDP algorithm search model two benches optimal flux processes;It is simultaneously negative gradually to cut Lotus method handles the two stage typical daily output process of power station t and t+1, calculates two benches typical day minimum load peak-valley ratio RtWith Rt+1
Step 11. makes n=n+1, if n<N, then repeat step 10, otherwise go to step 12;
Step 12. repeat step 9-11, judges whether power station water level process has change in the adjacent group of optimizing result twice, if Nothing, then go to step 13, otherwise, repeat step 12;
Step 13. reduces flow search progress, judges now whether flow search progress meets schedule requirement, if so, turning Step 9;Otherwise, 14 are gone to step;
Step 14. makes t=t+1, if t>T, then make k=k+1, goes to step 15;Otherwise, 8 are gone to step;
Step 15. judges whether each power station water level process epicycle iteration has change, if nothing, goes to step 16;Otherwise, go to step 6.;
Step 16. counts maximum peak-valley ratio R of typical day in each moon in withered month phasemax=max { Rt′, t ' includes all withered phases Month;
If step 17. Rmax<R, then export this and calculate scheduling scheme and withered phase minimum load peak-valley ratio binding occurrence R, make For a feasible program, and go to step 4;Otherwise calculate and terminate.
Now send receiving end transprovincially to interconnect GROUP OF HYDROPOWER STATIONS as research object using Xi Luodu-Zhejiang extra-high voltage direct-current transmission engineering, adopt Its scheduling scheme is made of the inventive method.Table 1 is the base data table for participating in calculating power station, and table 2 is interval with 50% typical case Flow is as mode input, multi-scheme scheduling result electricity and dry season peak-valley ratio table, under Fig. 4 is the interval flow of 50% typical case Model multi-scheme peak-valley ratio-generated energy distribution situation figure, the method carried using the present invention can be formulated as shown in table 2 and Fig. 4 Different withered phase peak-valley ratios under optimal electricity scheduling scheme there is provided a variety of scheduling schemes altogether dispatcher it is preferred.Each scheme Benefit of both the long-term electricity of hydroelectric system and peak load regulation network is taken into account, dispatcher can preferably be applicable according to scheduling preference Method.The preferred power generation processes of the two typical deployments schemes of the invention formulated of Fig. 5, by its generating with conventional scheduler schemes Process is contrasted, it is seen that the withered phase generated energy of scheduling scheme hydroelectric system that institute's extracting method of the present invention is formulated has obvious change, compared to normal Energy Maximization scheme is advised, withered phase electricity substantially increases, and improves the peak modulation capacity of withered phase water power.Fig. 6 and Fig. 7 shows the present invention The water level that the scheduling scheme of suggested plans formulation mainly changes power station inside the province is exerted oneself process, and power transmission power station water level is exerted oneself outside the province Less, scheduling difficulty of implementation is relatively low, and one is provided for the transregional conveying extensive transprovincially of China's extra-high voltage direct-current water power for change in process Plant the technological means of highly effective.
The power station base data table of table 1
Multi-scheme scheduling result under the interval flow of the typical case of table 2 50%

Claims (1)

1. a kind of transprovincially interconnect the long-term combined adjusting peak dispatching method of GROUP OF HYDROPOWER STATIONS, it is characterised in that comprises the following steps:
Step 1. reads basic data, initializes calculating parameter, including transprovincially interconnect the service condition constraint in power station and control Constraint, transregional direct water Transmission constraints, by power network monthly average load, long-term typical daily load;
Step 2. sets up the interconnection long-term combined adjusting peak Optimal Operation Model of GROUP OF HYDROPOWER STATIONS transprovincially, and the model is with Energy Maximization and withered Phase typical case's day minimum optimization aim of peak regulation peak-valley ratio;
Step 3. is target to the maximum with conventional power generation usage amount and send receiving end GROUP OF HYDROPOWER STATIONS to optimize calculating, generation model to transprovincially interconnecting Initial solution, while recording the maximum R of now power network withered phase each moon typical day remaining load peak-valley ratio0
Step 4. sets withered phase minimum load peak-valley ratio constraint R=R0-0.01;
Step 5. makes iterations k=0;
Step 6. makes calculation interval t=1, and it is hop count when schedule periods are total to define T;
Step 7. will send receiving end power station to be grouped according to affiliated basin, and meter total number packets are N groups;
If step 8. k>0;Determine whether that power station two benches water level process changes;If so, flow step-size in search is then reset, Go to step 9;If nothing, t=t+1 is made, if t>T, goes to step 15, otherwise repeats this step;
Step 9. judges whether the power station for participating in calculating is in flood season, if so, then preferentially being calculated, otherwise, in flood season electricity Stand and calculated again after optimizing;The power station group sequence that order calculates highest priority is defined as n=0;
Step 10. is under given goal condition, the constraint of processing peak-valley ratio, transregional direct water Transmission constraints and other are normal Power station constraints is advised, using POA-DDDP algorithm search model two benches optimal flux processes;Simultaneously with gradually cutting load Method handles the two stage typical daily output process of power station t and t+1, calculates two benches typical day minimum load peak-valley ratio RtWith Rt+1
Step 11. makes n=n+1, if n<N, then repeat step 10, otherwise go to step 12;
Step 12. repeat step 9-11, judges whether power station water level process has change in the adjacent group of optimizing result twice, if nothing, 13 are then gone to step, otherwise, repeat step 12;
Step 13. reduces flow search progress, judges now whether flow search progress meets schedule requirement, if so, going to step 9;Otherwise, 14 are gone to step;
Step 14. makes t=t+1, if t>T, then make k=k+1, goes to step 15;Otherwise, 8 are gone to step;
Step 15. judges whether each power station water level process epicycle iteration has change, if nothing, goes to step 16;Otherwise, 6 are gone to step;
Step 16. counts maximum peak-valley ratio R of typical day in each moon in withered month phasemax=max { Rt′, t ' includes all withered months phase;
If step 17. Rmax<R, then export this and calculate scheduling scheme and withered phase minimum load peak-valley ratio binding occurrence R, be used as one Individual feasible program, and go to step 4;Otherwise calculate and terminate.
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Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108510158A (en) * 2018-03-07 2018-09-07 南方电网科学研究院有限责任公司 A kind of interregional formulating method and device sent by electricity plan
CN109472463A (en) * 2018-10-19 2019-03-15 华中科技大学 A kind of more peak load regulation network dispatching methods of especially big basin water station group and system
CN109543887A (en) * 2018-11-07 2019-03-29 贵州黔源电力股份有限公司 A kind of Water level trend control method of daily regulation reservoir different times
CN109725534A (en) * 2018-12-29 2019-05-07 云南电网有限责任公司电力科学研究院 The adaptive dynamic programming method of STATCOM controller based on MMC
CN111062576A (en) * 2019-11-21 2020-04-24 熊猫智慧水务有限公司 DMA partition based pressure management system with least disadvantages
CN111428970A (en) * 2020-03-05 2020-07-17 三峡大学 Large-scale hydropower station group trans-provincial delivery capacity analysis model and solving method
CN111476407A (en) * 2020-03-25 2020-07-31 云南电网有限责任公司 Medium-and-long-term hidden random scheduling method for cascade hydropower station of combined wind power photovoltaic power station
CN111612268A (en) * 2020-05-28 2020-09-01 国家电网公司西南分部 Faucet reservoir hydroelectric cluster operation optimization method considering market transaction
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
CN115438972A (en) * 2022-09-13 2022-12-06 中国长江电力股份有限公司 Cascade hydropower station joint optimization scheduling method considering electric power mutual aid characteristics
CN115545768A (en) * 2022-10-06 2022-12-30 大连川禾绿能科技有限公司 Large hydropower trans-provincial and trans-regional day-ahead random bidding method considering contract decomposition
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CN116562572A (en) * 2023-05-14 2023-08-08 中国长江电力股份有限公司 Annual planned electric quantity curve decomposition method for cascade hydropower station group

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130090774A1 (en) * 2011-10-06 2013-04-11 Avista Corporation Real-Time Optimization of Hydropower Generation Facilities
WO2014057133A2 (en) * 2012-10-12 2014-04-17 Katholieke Universiteit Leuven Method and system for distributing and/or controlling an energy flow taking into account constraints relating to the electricity network
CN104063808A (en) * 2014-06-27 2014-09-24 大连理工大学 Trans-provincial power transmission cascade hydropower station group peak-shaving dispatching two-phase search method
CN104967126A (en) * 2015-07-14 2015-10-07 华中科技大学 Interbasin hydropower station group multiple power grid combination adjusting peak method facing regional power grid
CN105427017A (en) * 2015-10-29 2016-03-23 大连理工大学 Water power concentration power grid extra large scale power station group short period plan compiling method
CN105552971A (en) * 2015-12-28 2016-05-04 大连理工大学 Regional absorption method for coordinative optimization of small hydropower station and large- and medium-sized hydropower station group

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130090774A1 (en) * 2011-10-06 2013-04-11 Avista Corporation Real-Time Optimization of Hydropower Generation Facilities
WO2014057133A2 (en) * 2012-10-12 2014-04-17 Katholieke Universiteit Leuven Method and system for distributing and/or controlling an energy flow taking into account constraints relating to the electricity network
CN104063808A (en) * 2014-06-27 2014-09-24 大连理工大学 Trans-provincial power transmission cascade hydropower station group peak-shaving dispatching two-phase search method
CN104967126A (en) * 2015-07-14 2015-10-07 华中科技大学 Interbasin hydropower station group multiple power grid combination adjusting peak method facing regional power grid
CN105427017A (en) * 2015-10-29 2016-03-23 大连理工大学 Water power concentration power grid extra large scale power station group short period plan compiling method
CN105552971A (en) * 2015-12-28 2016-05-04 大连理工大学 Regional absorption method for coordinative optimization of small hydropower station and large- and medium-sized hydropower station group

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
CHOW V T,MAIDMENT D R,TAUXE G W: "Computer time and memory requirements for DP and DDDP in water resources systems analysis", 《WATER RESOURCES RESEARCH》 *
HOWSON H R,SANCHO N G F: "New algorithm for the solution of multi-state dynamic programming problems", 《MATHEMATICAL PROGRAMMING》 *
孙立飞,申建建,张俊: "水电站群长期典型日调峰调度方法", 《水资源研究》 *
程春田,申建建,武新宇,廖胜利: "大规模复杂水电优化调度系统的实用化求解策略及方法", 《水力学报》 *

Cited By (21)

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