CN106786790B - A kind of provincial power network of aqueous bottle coal nuclear power more power supply coordinated scheduling methods for a long time - Google Patents
A kind of provincial power network of aqueous bottle coal nuclear power more power supply coordinated scheduling methods for a long time Download PDFInfo
- Publication number
- CN106786790B CN106786790B CN201611031880.4A CN201611031880A CN106786790B CN 106786790 B CN106786790 B CN 106786790B CN 201611031880 A CN201611031880 A CN 201611031880A CN 106786790 B CN106786790 B CN 106786790B
- Authority
- CN
- China
- Prior art keywords
- power
- unit
- electricity
- load
- typical
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 97
- 239000003245 coal Substances 0.000 title claims abstract description 88
- 230000005611 electricity Effects 0.000 claims abstract description 189
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 claims abstract description 70
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 53
- 238000005520 cutting process Methods 0.000 claims abstract description 26
- 230000008569 process Effects 0.000 claims abstract description 18
- 240000002853 Nelumbo nucifera Species 0.000 claims abstract description 8
- 235000006508 Nelumbo nucifera Nutrition 0.000 claims abstract description 8
- 235000006510 Nelumbo pentapetala Nutrition 0.000 claims abstract description 8
- 230000033228 biological regulation Effects 0.000 claims abstract description 8
- 239000007789 gas Substances 0.000 claims abstract description 6
- 238000003860 storage Methods 0.000 claims description 27
- 238000012423 maintenance Methods 0.000 claims description 13
- 238000009826 distribution Methods 0.000 claims description 12
- 238000010248 power generation Methods 0.000 claims description 11
- 238000004422 calculation algorithm Methods 0.000 claims description 9
- 238000012937 correction Methods 0.000 claims description 8
- 238000013178 mathematical model Methods 0.000 claims description 8
- 238000005457 optimization Methods 0.000 claims description 7
- 230000008439 repair process Effects 0.000 claims description 7
- 238000011156 evaluation Methods 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 6
- 238000009434 installation Methods 0.000 claims description 5
- 230000001737 promoting effect Effects 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000013461 design Methods 0.000 claims description 3
- 238000006477 desulfuration reaction Methods 0.000 claims description 3
- 230000023556 desulfurization Effects 0.000 claims description 3
- 238000002715 modification method Methods 0.000 claims description 3
- 230000000750 progressive effect Effects 0.000 claims description 3
- 230000007704 transition Effects 0.000 claims description 3
- 238000010977 unit operation Methods 0.000 claims description 3
- 238000011144 upstream manufacturing Methods 0.000 claims description 3
- 239000011162 core material Substances 0.000 claims 1
- 230000009063 long-term regulation Effects 0.000 claims 1
- 230000007774 longterm Effects 0.000 abstract description 53
- 230000008901 benefit Effects 0.000 abstract description 5
- 239000000203 mixture Substances 0.000 abstract description 3
- 238000009472 formulation Methods 0.000 abstract description 2
- 230000001105 regulatory effect Effects 0.000 abstract description 2
- 230000005619 thermoelectricity Effects 0.000 abstract description 2
- 230000008878 coupling Effects 0.000 description 4
- 238000010168 coupling process Methods 0.000 description 4
- 238000005859 coupling reaction Methods 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 238000002360 preparation method Methods 0.000 description 3
- 238000004088 simulation Methods 0.000 description 3
- 238000000354 decomposition reaction Methods 0.000 description 2
- 239000004615 ingredient Substances 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 229940070230 daypro Drugs 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000009795 derivation Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- OFPXSFXSNFPTHF-UHFFFAOYSA-N oxaprozin Chemical compound O1C(CCC(=O)O)=NC(C=2C=CC=CC=2)=C1C1=CC=CC=C1 OFPXSFXSNFPTHF-UHFFFAOYSA-N 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
- 230000001502 supplementing effect Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
Abstract
A kind of provincial power network of aqueous bottle coal nuclear power more power supply coordinated scheduling methods for a long time, are related to hydrothermal generation scheduling field.The uncertainty of load is higher in long-term dispatch at present, and long-term dispatch scheme is mutually isolated with short term scheduling solution formulation process, it is difficult to realize expected benefit.The present invention is association tie with moon electric quantity balancing and typical day balance of electric power and ener, it constructs the overall of the long-term coordinated scheduling of more power supplys and solves frame, water power optimizes calculating with the typical minimum target of daily load peak-valley ratio, pneumoelectric and thermoelectricity use the improved long-term electricity of quantity division method coordinated allocation, nuclear power undertakes power grid base lotus by generating capacity, and water, gas, coal, each power supply typical case daily load process of core are successively determined by regulating power using gradually cutting load, by stepping up pneumoelectric minimum amount of power ratio, iteration realizes typical daily load balance.The technical program can couple the constraint of provincial power network shot and long term load, formulate the long-term dispatch scheme for taking into account the short-term peak regulation demand of power grid.
Description
Technical field
The present invention relates to the long-term power generation dispatching field of electric system more particularly to a kind of provincial power networks of aqueous bottle coal nuclear power
Long-term more power supply coordinated scheduling methods.
Background technique
The purpose of power system optimal dispatch is to pass through all kinds of electricity of reasonable arrangement under the premise of guaranteeing electricity net safety stable
The generation schedule in source, the operating cost for keeping electric system total reduce, and to obtain good economic benefit, substantially belong to complexity
Constrained nonlinear systems problem.With the raising of network load level, the increase of load peak-valley difference, the complexity of net interior power ingredient
Change, electric power system dispatching difficulty also increases accordingly.
Electric system long-term dispatch method according to fairness and economy stress difference be broadly divided into " three is public " scheduling and
Two kinds of energy-saving distribution, since the uncertainty of load in long-term dispatch is higher, previous scheduling scheme is often difficult to obtain preferable
As a result, and because Working Out The Scheme does not take into account long-term electrical demand and long-term typical day electricity needs, long-term dispatch scheme
It is mutually isolated with short term scheduling solution formulation process, causes prepared long-term dispatch scheme during rolling execution, it is short
Phase scheduling is difficult to be applicable in, and is difficult to execute, it is necessary to which, by continuous amendment, excessive amendment is so that long-term dispatch scheme is difficult to
Realize expected benefit.
For the deficiency in above-mentioned long-term dispatch Working Out The Scheme, have some scholars from the angle of typical daily load demand
Degree carried out research to single supply long-term dispatch, however there has been no the correlation techniques for being directed to entire electric power system dispatching, especially
For the electric system of aqueous, gas, four kinds of coal, nuclear power power supplys.The workload demand of electric system shot and long term how is coordinated, is studied
The electric system long-term dispatch method for considering typical daily load process, alleviates electric system in long-term generation schedule compilation process
Short-term peak regulation pressure has become theory and practice project urgently to be resolved in electric power system dispatching.Achievement of the present invention relies on country certainly
The right great plan emphasis of science fund supports project (91547201) and state natural sciences fund general project (51579029),
Using the water transfer of Zhejiang power grid system, gas, coal, the multiple power sources coordination problem such as core as background, invents and be very practical and extensively
The provincial power network of promotional value more power supply coordinated scheduling methods for a long time.
Summary of the invention
The technical problem to be solved in the present invention and the technical assignment of proposition are to be improved and improved to prior art,
A kind of provincial power network of aqueous bottle coal nuclear power more power supply coordinated scheduling methods for a long time are provided, the long-term electricity of power grid is taken into account to reach and needs
It asks and the peak regulation demand of typical day, coupling power grid shot and long term load constraint alleviates power-system short-term tune from long-term angle
Peak pressure power realizes the reasonable disposition of net interior power generated energy, to cope with day miscellaneous increasingly network load demand, and obtains good
The purpose of economic benefit.For this purpose, the present invention takes following technical scheme.
1, a kind of provincial power network of aqueous bottle coal nuclear power more power supply coordinated scheduling methods for a long time, it is characterised in that including following
Step:
1) establish provincial power network more power supply coordinated scheduling mathematical models for a long time, initialize design conditions, including water, gas, coal,
The service condition and constraint of four class power station of core and unit, power grid monthly average load process and each moon typical case daily load process;
2) nuclear power unit year generating capacity is determined, and with this using as its each moon generation schedule;By each moon electrical demand
And typical daily electricity demand percentage calculates nuclear power typical case daily electricity;And determine that nuclear power unit typical day is each in gradually cutting load method
Period power output;The power grid residue load for deducting nuclear power unit monthly average power output at this time is calculated, nuclear power unit each moon typical day is deducted
The typical day residue load of the power grid of power output;
3) it establishes with the mathematical modulo of the GROUP OF HYDROPOWER STATIONS dry season typical day minimum target of residue load peak-valley ratio maximum value
Type optimizes scheduling to GROUP OF HYDROPOWER STATIONS in netting, and by each moon power energy allocation in power station to typical case's day, with water power gradually cutting load
Method determines typical day power station day part power output;It is updated according to gained power station monthly average power output and its each moon typical case daily output
Power grid residue load and typical day residue load at this time;
4) the minimum scale β that each moon generated energy of pneumoelectric accounts for remaining lack of equilibrium electricity is set according to pneumoelectric unit operation demand;
5) with ratio beta by power grid lack of equilibrium power energy allocation to pneumoelectric and coal motor group, be calculated as WqiAnd Wmei;
6) by pneumoelectric year total electricity Wqi, the annual total electricity W of coal electricitymeiIt distributes to each moon in unit year;
7) the booting unit of pneumoelectric typical day is determined, and by the monthly electricity of pneumoelectric unit monthly electricity and typical daily electricity ratio
Example distributes to booting unit, balances typical day residue load using pneumoelectric double shift cutting load method, determines that typical day is each with this
Period unit output updates monthly average residue load and typical day residue load;
8) the booting unit of coal electricity typical day is determined, and by each monthly electricity of coal motor group monthly total electricity and typical day
Pro rate is measured to booting unit, typical day residue load is balanced using coal cutting load method, when determining that typical day is each with this
Section unit output updates monthly average residue load and typical day residue load;
9) so far if typical daily load can not balance, increase pneumoelectric total electricity accounting β, enable β=β+Δ β, the resetting moon is flat
Residue load and typical day residue load, repeat step 4) -9), until typical daily load balance, exports each unit and sends out for a long time
Electricity plan and typical daily trading planning.
The present invention relates to hydrothermal generation scheduling field, the provincial power network for disclosing a kind of aqueous bottle coal nuclear power is more for a long time
Power supply coordinated scheduling method, its main feature is that power grid typical case daily load characteristic is considered in long-term coordination optimization scheduling, to meet electricity
The balancing the load demand of net long term power electric quantity balancing and typical day.Its technical solution are as follows: for the province of aqueous, gas, coal, nuclear power
Complicated electric power system dispatching problem is decomposed into multiple subproblems by power supply type, and is directed to specific type power supply by grade power grid
It is solved using suitable strategy and method, while being association tie, coupling with moon electric quantity balancing and typical day balance of electric power and ener
Preceding method constructs the overall of the long-term coordinated scheduling of more power supplys and solves frame.In this frame, water power is with typical daily load peak valley
The minimum target of rate optimizes calculating, and pneumoelectric and thermoelectricity use the improved long-term electricity of quantity division method coordinated allocation,
Nuclear power undertakes power grid base lotus by generating capacity, and successively determines water, gas, coal, each electricity of core by regulating power using gradually cutting load
Source typical case's daily load process, by stepping up pneumoelectric minimum amount of power ratio, iteration realizes typical daily load balance.The present invention can
The constraint of provincial power network shot and long term load is coupled, the long-term dispatch scheme for taking into account the short-term peak regulation demand of power grid is formulated.
As further improving and supplementing to above-mentioned technical proposal, the invention also includes following additional technical features.
Further, in step 2), generating capacity distributes electricity, calculation formula to nuclear power per year are as follows:
Whe n=Nhe×(tn-t′n)
Because nuclear power unit peak modulation capacity is poor, the base lotus of typical day is mainly undertaken, therefore its typical daily load determines formula are as follows:
N is month number, W in formulahe nFor nuclear power unit the n-th monthly plan electricity, NheFor nuclear power unit installation, tnIt is n-th month
Total time, t 'nFor the repair time of n-th month nuclear power unit;For n-th month typical case tdPeriod nuclear power unit power output;
So far the remaining load that power grid monthly average load deducts nuclear power monthly average power output can be found out, power grid each moon typical day is negative
The typical day residue load of lotus deduction each moon typical case daily output of nuclear power.
Further, it in step 3), establishes with GROUP OF HYDROPOWER STATIONS dry season typical case daily load peak-valley ratio maximum value most
The small mathematical model for target, objective function are as follows:
The constraint of GROUP OF HYDROPOWER STATIONS includes:
(1) water balance:
Vm,t+1=Vm,t+(Qm,t-qm,t-qdm,t)Δt
(2) water level control demand:
Zm,T=Z 'm
(3) the generating flow upper limit:
(4) storage outflow constrains:
(5) reservoir level constrains:
(6) output of power station limits:
In formula: t indicates the period of long-term dispatch, and T indicates entire dispatching cycle, T2Indicate water power with withered in dispatching cycle
Month phase gathers, and Cday indicates power grid typical case daily load, pdaymaxIndicate the typical day maximum output of hydroelectric system, pdayminIt indicates
Hydroelectric system typical case's day minimum load;M indicates power station number, and t indicates scheduling slot number;Vm,tIndicate power station m period t's
Storage capacity;Qm,tIndicate reservoir inflow of the power station m in period t, qm,tIndicate power station m in the generating flow of period t;qdm,tIndicate power station
Abandoning water flow of the m in period t;Δ t indicates t period hourage;Zm,TIndicate power station m in the water level of dispatching cycle Mo;It indicates
The generating flow upper limit of the power station m in period t;Sm,tIndicate power station m period t storage outflow,WithDivide than indicating electricity
Stand m period t storage outflow bound;Zm,tIndicate that power station m goes out reservoir level in period t,WithDivide than indicating electricity
Stand m period t reservoir level bound;Pm,tIndicate power station m period t power output,WithPoint than indicate power station m when
The bound of the power output of section t.
Further, in the number to the GROUP OF HYDROPOWER STATIONS dry season typical day minimum target of residue load peak-valley ratio maximum value
Model is learned when being solved, using successive optimization and discrete differential dynamic programming algorithm, by progressive optimal algorithm by the multistage
Decision problem is decomposed into multiple two stages subproblems by the period, introduces discrete differential Dynamic Programming in the solution of each subproblem and calculates
Method;The calculating cycle of Optimal Scheduling of Multi-reservoir System is first determined before calculating, and will be separated into t period by period scale in the period, every two
The corresponding subproblem of a adjacent time interval;By taking the subproblem solution procedure of t and t+1 period as an example: will have medium-term and long-term modulability
The power station of energy is grouped according to river and calculates, and fixes the first water level of first group of power station t periodWith the last water level of t+1 period
With the storage outflow of t periodFor decision variable, using water balance equation as state transition equation, according to the step-length ε of setting,
Each power station in n-th groupOne group of storage outflow discrete point is respectively obtained up and down, is obtained 3 storage outflow numerical value and is denoted as It is allCombination have 3MnA state;Successively in b=1 ..., 3MnWhen according to
Upstream and downstream sequence is calculated: calculating its discrete state number and t period storage outflow, t period constant current to the power station in grouping
Amount is adjusted, and the t+1 period determines water level regulation calculating;Water level tune is determined to the power station progress t and t+1 period for being grouped outer reservoir inflow variation
Section;The typical daily load method of salary distribution that the t and t+1 period is updated in gradually cutting load method, obtains objective function and penalty
The difference of value;After whole state computations, optimum combination position is obtainedAnd power station t period storage outflow in being grouped, by same
Method calculating is adjusted, complete an optimizing;Next group of power station optimizing is then carried out until all groups are completed to optimize, instead
Multiple iteration is until subproblem is restrained, and so far a sub- problem solving terminates;Next subproblem is solved in chronological order, until all
Subproblem, which solves, to terminate, and iterates until objective function is restrained.
Further, when with water power, gradually cutting load method determines typical day power station day part power output, including it is following
Step:
301) by power station according to installed capacity from greatly to small sequence;
302) each power station successively participates in balancing, and calculates the maximum value for facing moment typical day residue load, and subtract with this value
The maximum available for going to the power station is its initialization position;
303) on the contrary operating position is raised if the daily electricity in the power station is greater than given value, then reduce operating position, general
Operating position and operating position add the sharing of load between maximum available to the unit;
304) constantly repeat step 303), average output that step-length takes the power station to be assigned to and given average output it
Difference, until the average output that is assigned to of power station is equal with given average output or the operating position in power station reaches extreme lower position.
Further, in step 5), power grid lack of equilibrium power energy allocation includes: to the step of pneumoelectric and coal motor group
501) all units of pneumoelectric and the respective annual total electricity of all units of coal electricity are determined;
502) by two class unit year total electricity decompose each unit each moon, calculate each moon Contract generation of unit;
503) by each moon quantity division of each unit to typical day;
504) all units of pneumoelectric and coal electricity all unit respective years are redistributed if typical case's daily load can not balance
Total electricity is spent, and repeats 502) -504) step.
Further, in step 6), the annual total electricity W of coal electricitymeiDistribution to including: the step of each moon in unit year
601) according to annual electric quantity balancing equation, consider that capacity is differential, annual screening reward and desulphurization denitration reward calculate
Power grid year, coal motor group averagely utilized hourage X;
Each unit annual contract electricity is calculated by average gas-to electricity hourage X
Wm=(X+TR+Tm+Tn)×PmM=1,2,3 ... M
M indicates that machine group #, M indicate the total number of units of unit in formula, and X indicates that the whole network is averaged gas-to electricity hourage, TmIt indicates
M platform unit annual screening rewards gas-to electricity hourage, TRIndicate m platform unit capacity differential reward gas-to electricity hour
Number, PmIndicate the power generation capacity of corresponding unit;N indicates that desulphurization denitration machine group #, N indicate the total number of units of desulphurization denitration unit, TnThe
N platform generator set desulfurization denitration examination reward gas-to electricity hourage, PnIndicate the power generation capacity of corresponding unit;WmeiIndicate that coal electricity is left
Right unit total electricity, WmIndicate m platform unit annual contract electricity;
602) do not consider maintenance constraint, monthly load proportion is by each unit year quantity division to the moon, power energy allocation formula
It is as follows:
M indicates that machine group #, t indicate month number, W in formulamt' indicate m platform unit t month generated energy, WmIndicate m platform
Unit year total electricity, QtIndicate t month power grid electric demand, Q indicates annual power grid electric aggregate demand;
603) maintenance and annual electric quantity balancing constraint are considered, by unit maintenance month electricity in each moon generating capacity ratio point
Dispensing other months of the unit each moon electricity of unit is corrected, account load balancing constraints are destroyed at this time;It is as follows to distribute formula:
C in formulatIndicate maintenance after t month all units always imbalance electricity, Cm,tIndicate the m platform unit t month uneven electricity
Amount, Wmt 1Indicate m platform unit t month generated energy after correcting;
604) consider monthly account load balancing constraints, carry out electricity in unit dimension and redistribute, carry out second of electricity and repair
Just, monthly electric quantity balancing constrains and is met after distribution, and unit annual contract Constraint will no longer satisfy;Enable t0=1, to one
Month, electricity was first modified, and correction formula is as follows:
Know of that month deviation electricity are as follows:
T in formula0Indicate electricity amendment month number,Indicate t0Month all unit total power generations,It indicates secondary to repair
Just preceding m platform unit t0Month generated energy, Wm,t0 2M platform unit t after expression second-order correction0Month generated energy;Indicate secondary
M platform unit t after amendment0Month contract imbalance electricity;
605) third time amendment is carried out to electricity on time dimension;Guarantee t0Electricity before month is constant, by t0Month it is inclined
Poor power energy allocation is to t0Month afterwards;It is as follows to distribute formula:
W in formulam,t 3Indicate m platform unit t month generated energy after correcting three times, t > t0;
606) t is enabled0=t0+ 1, the 3rd, 4 steps are repeated, the period later is successively modified, is adapted to November always;12nd
The modification method of the moon slightly has difference, its deviation electricity is reassigned to the 1-11 month;
607) step 603) -605 is repeated), until meeting precision.
Further, when step 7) determines the booting unit of pneumoelectric typical day, advanced promoting the circulation of qi need to be first needed to establish shutdown by cable excellent
Change, using unit ratio of minimum load to maximum load as startup-shutdown evaluation index, comprising the following steps:
701) according to the ratio of monthly average load and typical per day load, by each unit power energy allocation of pneumoelectric to typical case
Day, determine each moon typical case daily electricity of pneumoelectric unit;
702) pneumoelectric unit is divided into N group according to ownership power station, unit sorts from small to large according to installed capacity in each group;
703) setting pneumoelectric booting unit ratio of minimum load to maximum load constrains λ;
704) n=1, i=1 are enabled, and all units are set as being switched on;
705) n group power station booting unit load rate λ ' is calculated, if λ ' > λ and n+1 < N, enable n=n+1, then enable i=1,
And repeat step 705);If λ ' > λ and n+1=N calculate completion and exit;If λ ' < λ, enables i=i+1, goes to step 706);
706) unit in n-th group power station is traversed, shuts down its i-th pneumoelectric unit, and the allusion quotation that unit will be shut down
Type daily electricity gives other booting units in power station according to installed capacity ratio, goes to step 705).
Further, when step 8) determines the booting unit of coal electricity typical day, referred to using being switched on unit capacity as evaluation
Mark, comprising the following steps:
801) according to monthly average load and typical per day load proportion, by each unit power energy allocation of coal electricity to typical day,
Determine each moon typical case daily electricity of coal motor group;
802) coal motor group is divided into N group according to ownership power station, unit sorts from small to large according to installed capacity in each group;
803) n=1, i=1 are enabled, and all units are set as being switched on;
804) all booting unit capacities and α are calculated, typical Daily treatment cost is with pmaxIt indicates, spare capacity is p ', pzong
=p '+pmaxIf α < pzong, then the unit booting of i-th, n-th of power station is set, and calculating terminates;If α > pzong, then go to step
805);
805) the unit sum in n-th of power station is that I shuts down i-th, n-th of power station unit, enable n=n+1 if i < I;
If i=I enables n=n+1;
806) 804) if n < N, goes to step;If n=N enables n=1, i=i+1, go to step 804).
The utility model has the advantages that the technical program can realize complicated electric power system dispatching problem is decomposed by power supply type it is multiple
Subproblem, and solved for specific type power supply using the strategy and method being suitble to, while with moon electric quantity balancing and typical day
Power electric quantity balancing is association tie, and coupling preceding method constructs the overall of the long-term coordinated scheduling of more power supplys and solves frame.In this frame
In frame, water power optimizes calculating with the typical minimum target of daily load peak-valley ratio, and pneumoelectric and coal electricity use improved electricity
The long-term electricity of decomposition method coordinated allocation, nuclear power undertake power grid base lotus by generating capacity, and using gradually cutting load by adjusting energy
Power successively determines water, gas, coal, each power supply typical case daily load process of core, and by stepping up pneumoelectric minimum amount of power ratio, iteration is real
Existing typical case's daily load balance.The prior art is compared, the present invention has coupled the constraint of provincial power network shot and long term load, can be used for formulating simultaneous
Care for the power grid long-term dispatch scheme of the short-term peak regulation demand of power grid.
Detailed description of the invention
Fig. 1 is that the method for the present invention totally solves flow chart;
Fig. 2 is that GROUP OF HYDROPOWER STATIONS solves flow chart;
Fig. 3 is all kinds of electric quantity of power supply balance result figures of simulation example;
Fig. 4 is all kinds of power supply typical case daily load balance result figures of simulation example.
Specific embodiment
Technical solution of the present invention is described in further detail below in conjunction with Figure of description.
The present invention relates to a kind of provincial power network of aqueous bottle coal nuclear power more power supply coordinated scheduling methods for a long time, below with reference to attached
The invention will be further described with example for figure.
Electric system long-term dispatch plan engineering in practice be establishment power grid year generation schedule, compilation process by
Network load characteristic, the factors such as power supply installation situation, power station regimen, unit maintenance influence, and mainly include three levels
The problem of: first is that power grid year total electricity is decomposed each unit, second is that by each unit year quantity division to each moon, third is that by each
The unit moon, quantity division was to typical day.In addition, needing to readjust annual power energy allocation if typical day electric power can not balance.
Aqueous, gas, coal, nuclear power provincial power network more power supply coordinated scheduling problems are that extremely complex electric system is excellent for a long time
Change scheduling problem, larger difficulty would generally be faced by constructing the unified method for solving of these power supplys.For this purpose, with reference to common Hydro-Thermal Systems
Coordinate solution throughway, is that multiple subproblems solve, and are directed to certain types of power supply by former PROBLEM DECOMPOSITION, in classic optimisation
On the basis of algorithm, suitable highly efficient practical improvement strategy and method for solving are found, while considering moon electric quantity balancing and allusion quotation
Type day balance of electric power and ener is association tie, and coupling preceding method forms the overall of the long-term coordinated scheduling of more power supplys and solves frame,
It is as shown in Figure 1 to solve flow chart.All kinds of long-term generation schedule order of presentation of power supply are followed successively by nuclear power, water power, pneumoelectric, coal electricity.Core
The clean energy resource that belongs to of electricity and water power, power grid should dissolve the electricity of two kinds of power supplys, pneumoelectric and coal electricity as far as possible and make in " three is public " constraint
Under about, long-term generation schedule needs emphasis to consider the long-term remaining load of balance and the remaining load of long-term typical day.
The long-term generation schedule preparation method of nuclear power:
Generating capacity distributes electricity, calculation formula to nuclear power per year are as follows:
Whe n=Nhe×(tn-t′n) (1)
Because nuclear power unit peak modulation capacity is poor, the base lotus of typical day is mainly undertaken, therefore its typical daily load determines formula are as follows:
N is month number in formula,For nuclear power unit the n-th monthly plan electricity, NheFor nuclear power unit installation, tnIt is n-th month
Total time, t 'nFor the repair time of n-th month nuclear power unit;For n-th month typical case tdPeriod nuclear power unit power output.
So far the remaining load that power grid monthly average load deducts nuclear power monthly average power output can be found out, power grid each moon typical day is negative
The typical day residue load of lotus deduction each moon typical case daily output of nuclear power.
The long-term generation schedule preparation method of GROUP OF HYDROPOWER STATIONS:
Water power is good peaking power source, therefore the method for the present invention is taken into account during establishment GROUP OF HYDROPOWER STATIONS long-term generation schedule
The long-term electricity of power grid and typical day electricity needs, establish with GROUP OF HYDROPOWER STATIONS dry season typical case daily load peak-valley ratio maximum value
The mathematical model of minimum target: objective function is as follows:
The constraint of GROUP OF HYDROPOWER STATIONS includes:
(1) water balance:
Vm,t+1=Vm,t+(Qm,t-qm,t-qdm,t)Δt (4)
(2) water level control demand:
Zm,T=Z 'm (5)
(3) the generating flow upper limit:
(4) storage outflow constrains:
(5) reservoir level constrains:
(6) output of power station limits:
In formula: t indicates the period of long-term dispatch, and T indicates entire dispatching cycle, T2Indicate water power with withered in dispatching cycle
Month phase gathers, and Cday indicates power grid typical case daily load, pdaymaxIndicate the typical day maximum output of hydroelectric system, pdayminIt indicates
Hydroelectric system typical case's day minimum load.M indicates power station number, and t indicates scheduling slot number;Vm,tIndicate power station m period t's
Storage capacity;Qm,tIndicate reservoir inflow of the power station m in period t, qm,tIndicate power station m in the generating flow of period t;qdm,tIndicate power station
Abandoning water flow of the m in period t;Δ t indicates t period hourage;Zm,TIndicate power station m in the water level of dispatching cycle Mo;It indicates
The generating flow upper limit of the power station m in period t;Sm,tIndicate power station m period t storage outflow,WithDivide than indicating electricity
Stand m period t storage outflow bound;Zm,tIndicate that power station m goes out reservoir level in period t,WithDivide than indicating electricity
Stand m period t reservoir level bound;Pm,tIndicate power station m period t power output,WithPoint than indicate power station m when
The bound of the power output of section t.
Its method for solving uses successive optimization and discrete differential dynamic programming algorithm, by progressive optimal algorithm by the multistage
Decision problem is decomposed into multiple two stages subproblems by the period, introduces discrete differential Dynamic Programming in the solution of each subproblem and calculates
Method.The calculating cycle of Optimal Scheduling of Multi-reservoir System is first determined before calculating, and will be separated into t period by period scale in the period, every two
The corresponding subproblem of a adjacent time interval.By taking the subproblem solution procedure of t and t+1 period as an example: will have medium-term and long-term modulability
The power station of energy is grouped according to river and calculates, and fixes the first water level of first group of power station t periodWith the last water level of t+1 period
With the storage outflow of t periodFor decision variable, using water balance equation as state transition equation, according to the step-length ε of setting,
Each power station in n-th groupOne group of storage outflow discrete point is respectively obtained up and down, is obtained 3 storage outflow numerical value and is denoted asIt is allCombination have 3MnA state.Successively in b=1 ..., 3MnWhen according to
Upstream and downstream sequence is calculated: calculating its discrete state number and t period storage outflow, t period constant current to the power station in grouping
Amount is adjusted, and the t+1 period determines water level regulation calculating;Water level tune is determined to the power station progress t and t+1 period for being grouped outer reservoir inflow variation
Section.The typical daily load method of salary distribution that the t and t+1 period is updated in gradually cutting load method, obtains objective function and penalty
The difference of value.After whole state computations, optimum combination position is obtainedAnd power station t period storage outflow in being grouped, by same
Method calculating is adjusted, complete an optimizing.Next group of power station optimizing is then carried out until all groups are completed to optimize, instead
Multiple iteration is until subproblem is restrained, and so far a sub- problem solving terminates.Next subproblem is solved in chronological order, until all
Subproblem, which solves, to terminate, and iterates until objective function is restrained.Hydroelectric system derivation algorithm flow chart is as shown in Figure 2.
Gradually cutting load method, key step are as follows using water power for the determination method of power station typical case's daily output:
(1) by power station according to installed capacity from greatly to small sequence;
(2) each power station successively participates in balancing, and calculates the maximum value for facing moment typical day residue load, and subtract with this value
The maximum available in the power station is its initialization position;
(3) operating position is raised if the daily electricity in the power station is greater than given value, it is on the contrary then reduce operating position, by work
Making position and operating position adds the sharing of load between maximum available to the unit;
(4) step (3) constantly are repeated, the difference of average output and given average output that step-length takes the power station to be assigned to,
Until the average output that is assigned to of power station is equal with given average output or the operating position in power station reaches extreme lower position.
After the completion of hydroelectric system optimization, power grid at this time is updated according to power station monthly average power output and its each moon typical case daily output
Remaining load and typical day residue load.
Pneumoelectric and the long-term generation schedule preparation method of coal electricity:
Gas-fired station and coal fired power plant belong to thermal power station, because being restricted by " three is public " constraint, must balance power grid residue to be more preferable
Load and typical day residue load, they intercouple at generation schedule compilation process.For each pneumoelectric unit of reasonable distribution and coal electricity
Assigning process is now divided into four steps by the electricity of unit:
(1) all units of pneumoelectric and the respective annual total electricity of all units of coal electricity are determined.
(2) by two class unit year total electricity decompose each unit each moon, calculate each moon Contract generation of unit.
(3) by each moon quantity division of each unit to typical day.
(4) all units of pneumoelectric and coal electricity all unit respective years are redistributed if typical case's daily load can not balance
Total electricity, and repeat (2)-(4) step.
Because pneumoelectric is expensive, to save power grid purchases strategies, under conditions of guaranteeing power grid security, control pneumoelectric is always electric
Initial pneumoelectric and the annual total electricity allocation proportion β of coal electricity is arranged in a lower level in amount.Power grid is remained with this pro rate
For remaining lack of equilibrium power energy allocation to pneumoelectric and coal electricity, then the electricity that pneumoelectric is assigned to is Wqi=β × W ', the electricity that coal electricity is assigned to are
Wmei=(1- β) × W '.
, need to be by annual power energy allocation to each unit after determining two class power supply year electricity, annual quantity division is with as far as possible
Keeping each unit close to each other in day part power generation progress is principle, by each unit annual contract quantity division to each moon, with reality
Now electric quantity balancing of each moon.
By taking coal motor group as an example, the determination step of each unit annual contract electricity:
(1) according to annual electric quantity balancing equation, consider that capacity is differential, annual screening reward and desulphurization denitration reward calculate electricity
It nets annual coal motor group and averagely utilizes hourage X.
Each unit annual contract electricity is calculated by average gas-to electricity hourage X
Wm=(X+TR+Tm+Tn)×PmM=1,2,3 ... M (11)
M indicates that machine group #, M indicate the total number of units of unit in formula, and X indicates that the whole network is averaged gas-to electricity hourage, TmIt indicates
M platform unit annual screening rewards gas-to electricity hourage, TRIndicate m platform unit capacity differential reward gas-to electricity hour
Number, PmIndicate the power generation capacity of corresponding unit;N indicates that desulphurization denitration machine group #, N indicate the total number of units of desulphurization denitration unit, TnThe
N platform generator set desulfurization denitration examination reward gas-to electricity hourage, PnIndicate the power generation capacity of corresponding unit;WmeiIndicate that coal electricity is left
Right unit total electricity, WmIndicate m platform unit annual contract electricity.
The determination step of monthly Contract generation:
The process of annual quantity division to the moon are in the item for meeting annual contract Constraint and the constraint of monthly electric quantity balancing
Each moon Contract generation of unit is determined under part.The solution of the problem is substantially the solution to a quadratic programming problem, to reduce
Difficulty is solved, the method for the present invention improves conventional quantity division method, the specific steps are as follows:
(2) do not consider maintenance constraint, monthly load proportion is by each unit year quantity division to the moon, and power energy allocation formula is such as
Under:
M indicates that machine group #, t indicate month number, W in formulamt' indicate m platform unit t month generated energy, WmIndicate m platform
Unit year total electricity, QtIndicate t month power grid electric demand, Q indicates annual power grid electric aggregate demand.
(3) maintenance and annual electric quantity balancing constraint are considered, by unit maintenance month electricity in each moon generating capacity ratio point
Dispensing other months of the unit each moon electricity of unit is corrected, account load balancing constraints are destroyed at this time.It is as follows to distribute formula:
C in formulatIndicate maintenance after t month all units always imbalance electricity, Cm,tIndicate the m platform unit t month uneven electricity
Amount, Wmt 1Indicate m platform unit t month generated energy after correcting.
(4) consider monthly account load balancing constraints, carry out electricity in unit dimension and redistribute, carry out second of electricity and repair
Just, monthly electric quantity balancing constrains and is met after distribution, and unit annual contract Constraint will no longer satisfy.Enable t0=1, to one
Month, electricity was first modified, and correction formula is as follows:
Know of that month deviation electricity are as follows:
T in formula0Indicate electricity amendment month number,Indicate t0Month all unit total power generations,It indicates secondary to repair
Just preceding m platform unit t0Month generated energy,M platform unit t after expression second-order correction0Month generated energy.Indicate secondary
M platform unit t after amendment0Month contract imbalance electricity.
(5) third time amendment is carried out to electricity on time dimension.Guarantee t0Electricity before month is constant, by t0Month it is inclined
Poor power energy allocation is to t0Month afterwards.It is as follows to distribute formula:
W in formulam,t 3Indicate m platform unit t month generated energy after correcting three times, t > t0;
(6) t is enabled0=t0+ 1, the 3rd, 4 steps are repeated, the period later is successively modified, is adapted to November always.December
Modification method slightly have difference, its deviation electricity is reassigned to the 1-11 month.
(7) step (3)-(5) are repeated, until meeting precision.
Determining needs before the typical case's daily output of pneumoelectric station advanced promoting the circulation of qi to establish shutdown optimization by cable, using unit ratio of minimum load to maximum load as opening
Evaluation index is shut down, key step is as follows:
(1) according to the ratio of monthly average load and typical per day load, by each unit power energy allocation of pneumoelectric to typical day,
Determine each moon typical case daily electricity of pneumoelectric unit;
(2) pneumoelectric unit is divided into N group according to ownership power station, unit sorts from small to large according to installed capacity in each group;
(3) setting pneumoelectric booting unit ratio of minimum load to maximum load constrains λ;
(4) n=1, i=1 are enabled, and all units are set as being switched on;
(5) n group power station booting unit load rate λ ' is calculated, if λ ' > λ and n+1 < N, enable n=n+1, then enable i=1, and
It repeats step (5);If λ ' > λ and n+1=N calculate completion and exit;If λ ' < λ, enables i=i+1, (6) are gone to step;
(6) unit in n-th group power station is traversed, shuts down its i-th pneumoelectric unit, and the typical case that unit will be shut down
Daily electricity gives other booting units in power station according to installed capacity ratio, goes to step (5).
Pneumoelectric booting unit typical case sunrise force distribution method using pneumoelectric double shift, gradually adopt with water power by cutting load method, step
Gradually cutting load method is similar, and difference is that the main body of water power cutting load is power station, and the main body of pneumoelectric cutting load is unit.
Coal motor group startup-shutdown method, using the unit capacity that is switched on as evaluation index, comprising the following steps:
(1) according to monthly average load and typical per day load proportion, by each unit power energy allocation of coal electricity to typical day, really
Determine each moon typical case daily electricity of coal motor group;
(2) coal motor group is divided into N group according to ownership power station, unit sorts from small to large according to installed capacity in each group;
(3) n=1, i=1 are enabled, and all units are set as being switched on;
(4) all booting unit capacities and α are calculated, typical Daily treatment cost is with pmaxIt indicates, spare capacity is p ', pzong
=p '+pmaxIf α < pzong, then the unit booting of i-th, n-th of power station is set, and calculating terminates;If α > pzong, then go to step
(5);
The unit sum in (5) n-th of power station is that I shuts down i-th, n-th of power station unit, enable n=n+1 if i < I;If
I=I then enables n=n+1;
(6) if n < N, goes to step (4);If n=N enables n=1, i=i+1, (4) are gone to step;
Coal establish by cable machine unit typical case's sunrise force distribution method using coal electricity gradually cutting load method, step and pneumoelectric use by
Secondary cutting load method is similar, and difference is that pneumoelectric unit is typical and is only switched on several periods day that coal motor group booting all the period of time is both needed to
Booting need to consider that minimum load constrains.
So far the long-term generation schedule of four class power supplys and its long-term typical daily output plan have completed.Judge power supply allusion quotation
Can type daily output balance typical daily load, if so, calculating terminates, output scheme, if it is not, then correcting pneumoelectric and coal electricity year
Total electricity allocation proportion β enables β=β+Δ β, re-starts pneumoelectric and the long-term generation schedule of coal electricity is worked out, until typical daily load
Balance.
Modeling and solution strategies in conjunction with above-mentioned subproblem, primary complete generation schedule compilation process, according to following steps
Suddenly (1)-(9) can be realized:
Step 1. establishes provincial power network more power supply coordinated scheduling mathematical models for a long time, initializes design conditions, including water,
Gas, coal, four class power station of core and the service condition and constraint of unit, power grid monthly average load process and each moon typical case daily load mistake
Journey.
Step 2. determines nuclear power unit year generating capacity, and with this using as its each moon generation schedule.By each moon electricity
Demand and typical daily electricity demand percentage calculate nuclear power typical case daily electricity.And nuclear power unit typical case is determined in gradually cutting load method
Day day part power output.The power grid residue load for deducting nuclear power unit monthly average power output at this time is calculated, each moon allusion quotation of nuclear power unit is deducted
The typical day residue load of the power grid of type daily output.
Step 3. is established with the number of the GROUP OF HYDROPOWER STATIONS dry season typical day minimum target of residue load peak-valley ratio maximum value
Model is learned, scheduling is optimized to GROUP OF HYDROPOWER STATIONS in netting, and each moon power energy allocation in power station is gradually cut to typical day with water power
Load method determines typical day power station day part power output.According to gained power station monthly average power output and its each moon typical case daily output
Update power grid residue load at this time and typical day residue load.
Step 4. sets the minimum ratio that each moon generated energy of pneumoelectric accounts for remaining lack of equilibrium electricity according to pneumoelectric unit operation demand
Example β.
Step 5. with ratio beta by power grid lack of equilibrium power energy allocation to pneumoelectric and coal motor group, be calculated as WqiAnd Wmei。
Step 6. is in improved quantity division method by pneumoelectric year total electricity Wqi, the annual total electricity W of coal electricitymeiDistribution is extremely
Each moon in unit year.
Step 7. determines the booting unit of pneumoelectric typical day, and by the monthly electricity of pneumoelectric unit monthly electricity and typical day
It measures pro rate and gives booting unit, typical day residue load is balanced using pneumoelectric double shift cutting load method, typical case is determined with this
Day day part unit output updates monthly average residue load and typical day residue load.
Step 8. determines the booting unit of coal electricity typical day, and by each monthly electricity of coal motor group monthly total electricity and typical
Daily electricity pro rate balances typical day residue load to booting unit, using coal cutting load method, determines typical day with this
Day part unit output updates monthly average residue load and typical day residue load.
If so far typical daily load can not balance step 9., increases pneumoelectric total electricity accounting β, enable β=β+Δ β, reset
Monthly average residue load and typical day residue load, repeat step (4)-(9), until typical daily load balance, exports each unit
Long-term generation schedule and typical daily trading planning.
Now using China's Zhejiang power grid as research object, Zhejiang power grid year generation schedule is made using the method for the present invention,
Zhejiang power grid is the important composition ingredient of East China Power Grid, and it includes coal, four kinds of gas and water, nuclear power units, all kinds of electricity that system, which adjusts unit, inside the province
Source is installed, and ratio is as shown in table 1, and all kinds of power supply year electric quantity balancing results of simulation example are as shown in figure 3, all kinds of power supply allusion quotations in February
Type daily output process is as shown in Figure 4.Analysis is it is found that the method for the present invention passes through association in the case where not considering that area sends power consumption outside
The power energy allocation of unit inside the province is adjusted, so that clean energy resource water power is sufficiently dissolved, coal electricity has taken into account year under " three is public " constraint
The factors such as performance assessment criteria, discharge index, unit efficiency are spent, while realizing the electricity of power grid year electric quantity balancing and long-term typical day
Dynamic balance is conducive to the arrangement of the generation schedule of subsequent smaller scale.Furthermore the method for the present invention is also by pneumoelectric Constraint one
A lesser section reduces power grid power purchase expense, has good economy and practicability.
All kinds of power supply installations of 1 Zhejiang power grid of table and accounting table (unit: MW)
More power supply coordinated scheduling methods are tools of the invention to a kind of provincial power network of aqueous bottle coal nuclear power shown in for a long time
Body embodiment has embodied substantive distinguishing features of the present invention and progress, needs can be used according to actual, in enlightenment of the invention
Under, equivalent modifications, the column in the protection scope of this programme are carried out to it.
Claims (9)
1. a kind of provincial power network of aqueous bottle coal nuclear power more power supply coordinated scheduling methods for a long time, it is characterised in that including following step
It is rapid:
1) provincial power network more power supply coordinated scheduling mathematical models for a long time are established, design conditions, including water, gas, coal, core four are initialized
The service condition and constraint of class power station and unit, power grid monthly average load process and each moon typical case daily load process;
2) nuclear power unit year generating capacity is determined, and with this using as its each moon generation schedule;By each moon electrical demand and allusion quotation
Type daily electricity demand percentage calculates nuclear power typical case daily electricity;And the typical day day part of nuclear power unit is determined in gradually cutting load method
Power output;The power grid residue load for deducting nuclear power unit monthly average power output at this time is calculated, each moon typical case daily output of nuclear power unit is deducted
The typical day residue load of power grid;
3) it establishes with the mathematical model of the GROUP OF HYDROPOWER STATIONS dry season typical day minimum target of residue load peak-valley ratio maximum value, it is right
GROUP OF HYDROPOWER STATIONS optimizes scheduling in netting, and by each moon power energy allocation in power station to typical case's day, in water power gradually cutting load method
Determine typical case's day power station day part power output;It is updated at this time according to gained power station monthly average power output and its each moon typical case daily output
Power grid residue load and typical day residue load;
4) the minimum scale β that each moon generated energy of pneumoelectric accounts for remaining lack of equilibrium electricity is set according to pneumoelectric unit operation demand;
5) with ratio beta by power grid lack of equilibrium power energy allocation to pneumoelectric and coal motor group, be calculated as WqiAnd Wmei;
6) by pneumoelectric year total electricity Wqi, the annual total electricity W of coal electricitymeiIt distributes to each moon in unit year;
7) the booting unit of pneumoelectric typical day is determined, and monthly electricity and typical daily electricity ratio are divided by the monthly electricity of pneumoelectric unit
Dispensing booting unit balances typical day residue load using pneumoelectric double shift cutting load method, determines typical day day part with this
Unit output updates monthly average residue load and typical day residue load;
8) the booting unit of coal electricity typical day is determined, and by each monthly electricity of coal motor group monthly total electricity and typical daily electricity ratio
Example is assigned to booting unit, balances typical day residue load using coal cutting load method, determines typical day day part machine with this
Group power output updates monthly average residue load and typical day residue load;
9) so far if typical daily load can not balance, increase pneumoelectric total electricity accounting β, enable β=β+Δ β, resetting monthly average is surplus
Remaining load and typical day residue load, repeat step 4) -9), until typical daily load balance, exports each unit and generate electricity for a long time meter
It draws and typical daily trading planning.
2. a kind of provincial power network of aqueous bottle coal nuclear power according to claim 1 more power supply coordinated scheduling methods for a long time,
Be characterized in that: in step 2), generating capacity distributes electricity, calculation formula to nuclear power per year are as follows:
Whe t=Nhe×(tl-t′)
Because nuclear power unit peak modulation capacity is poor, the base lotus of typical day is mainly undertaken, therefore its typical daily load determines formula are as follows:
T is month number, W in formulahe tFor nuclear power unit t monthly plan electricity, NheFor nuclear power unit installation, tlIt is total for the t month
Time, t ' are the repair time of t month nuclear power unit;Phe d,tFor t month typical case d period nuclear power unit power output;
So far the remaining load that power grid monthly average load deducts nuclear power monthly average power output, each moon typical case daily load button of power grid can be found out
Except the typical day residue load of each moon typical case daily output of nuclear power.
3. a kind of provincial power network of aqueous bottle coal nuclear power according to claim 2 more power supply coordinated scheduling methods for a long time,
It is characterized in that: in step 3), establishing with the minimum target of GROUP OF HYDROPOWER STATIONS dry season typical case daily load peak-valley ratio maximum value
Mathematical model, objective function is as follows:
The constraint of GROUP OF HYDROPOWER STATIONS includes:
(1) water balance:
Vm,t+1=Vm,t+(Qm,t-qm,t-qdm,t)Δt
(2) water level control demand:
Zm,T=Z 'm
(3) the generating flow upper limit:
(4) storage outflow constrains:
(5) reservoir level constrains:
(6) output of power station limits:
In formula: t indicates period namely month number, and T indicates all month length in entire dispatching cycle, and Cday indicates power grid
Typical daily load, pdaymaxIndicate the typical day maximum output of hydroelectric system, pdayminIndicate the typical day minimum load of hydroelectric system;
M indicates power station number;Vm,tIndicate power station m in the storage capacity of period t;Qm,tIndicate reservoir inflow of the power station m in period t, qm,tIt indicates
Generating flow of the power station m in period t;qdm,tIndicate power station m in the abandoning water flow of period t;Δ t indicates t period hourage;Zm,T
Indicate calculating water level of the power station m in dispatching cycle Mo, Z'mIndicate power station m in the target water level in the scheduling end of term;Indicate power station m
In the generating flow upper limit of period t;Sm,tIndicate power station m period t storage outflow,WithDivide than indicating that power station m exists
The storage outflow bound of period t;Zm,tIndicate that power station m goes out reservoir level in period t,WithDivide than indicating that power station m exists
The reservoir level bound of period t;Pm,tIndicate power station m period t power output,WithDivide than indicating power station m period t's
The bound of power output.
4. a kind of provincial power network of aqueous bottle coal nuclear power according to claim 3 more power supply coordinated scheduling methods for a long time,
Be characterized in that: the mathematical model to the GROUP OF HYDROPOWER STATIONS dry season typical day minimum target of residue load peak-valley ratio maximum value into
When row solves, using successive optimization and discrete differential dynamic programming algorithm, by progressive optimal algorithm by multistage decision problem
Multiple two stages subproblems are decomposed by the period, introduce discrete differential dynamic programming algorithm in the solution of each subproblem;It calculates
The preceding calculating cycle for first determining Optimal Scheduling of Multi-reservoir System, and the period it will be separated into t period by period scale, when every two is adjacent
The corresponding subproblem of section;By taking the subproblem solution procedure of t and t+1 period as an example: by the power station with medium-term and long-term regulation performance
It is grouped and calculates according to river, fix the first water level of first group of power station t periodWith the last water level of t+1 periodWith the t period
Storage outflowIt is each in n-th group according to the step-length ε of setting using water balance equation as state transition equation for decision variable
Power stationOne group of storage outflow discrete point is respectively obtained up and down, is obtained 3 storage outflow numerical value and is denoted asIt is allCombination have 3MnA state;Successively in b=1 ..., 3MnWhen according to
Upstream and downstream sequence is calculated: calculating its discrete state number and t period storage outflow, t period constant current to the power station in grouping
Amount is adjusted, and the t+1 period determines water level regulation calculating;Water level tune is determined to the power station progress t and t+1 period for being grouped outer reservoir inflow variation
Section;The typical daily load method of salary distribution that the t and t+1 period is updated in gradually cutting load method, obtains objective function and penalty
The difference of value;After whole state computations, optimum combination position is obtainedAnd power station t period storage outflow in being grouped, by same
Method calculating is adjusted, complete an optimizing;Next group of power station optimizing is then carried out until all groups are completed to optimize, instead
Multiple iteration is until subproblem is restrained, and so far a sub- problem solving terminates;Next subproblem is solved in chronological order, until all
Subproblem, which solves, to terminate, and iterates until objective function is restrained.
5. a kind of provincial power network of aqueous bottle coal nuclear power according to claim 4 more power supply coordinated scheduling methods for a long time,
It is characterized in that: when with water power, gradually cutting load method determines typical day power station day part power output, comprising the following steps:
301) by power station according to installed capacity from greatly to small sequence;
302) each power station successively participates in balancing, and calculates the maximum value for facing moment typical day residue load, and subtract this with this value
The maximum available in power station is its initialization position;
303) operating position is raised if the daily electricity in the power station is greater than given value, it is on the contrary then reduce operating position, by work
Position and operating position add the sharing of load between maximum available to the unit;
304) step 303) is constantly repeated, the difference of average output and given average output that step-length takes the power station to be assigned to, directly
The average output being assigned to power station is equal with given average output or the operating position in power station reaches extreme lower position.
6. a kind of provincial power network of aqueous bottle coal nuclear power according to claim 5 more power supply coordinated scheduling methods for a long time,
Be characterized in that: in step 5), power grid lack of equilibrium power energy allocation includes: to the step of pneumoelectric and coal motor group
501) all units of pneumoelectric and the respective annual total electricity of all units of coal electricity are determined;
502) by two class unit year total electricity decompose each unit each moon, calculate each moon Contract generation of unit;
503) by each moon quantity division of each unit to typical day;
504) all units of pneumoelectric are redistributed if typical case's daily load can not balance and all units of coal electricity respective year is total
Electricity, and repeat 502) -504) step.
7. a kind of provincial power network of aqueous bottle coal nuclear power according to claim 6 more power supply coordinated scheduling methods for a long time,
It is characterized in that: in step 6), the annual total electricity W of coal electricitymeiDistribution to including: the step of each moon in unit year
601) according to annual electric quantity balancing equation, consider that capacity is differential, annual screening reward and desulphurization denitration reward calculate power grid
Annual coal motor group averagely utilizes hourage X;
Each unit annual contract electricity is calculated by average gas-to electricity hourage X
Wum=(X+TR+Tum+Tun)×PumUm=1,2,3 ... UM
Um indicates that machine group #, UM indicate the total number of units of unit in formula, and X indicates that the whole network is averaged gas-to electricity hourage, TumIndicate the
Um platform unit annual screening rewards gas-to electricity hourage, TRIndicate um platform unit capacity differential reward gas-to electricity hour
Number, PumIndicate the power generation capacity of corresponding unit;Un indicates that desulphurization denitration machine group #, UN indicate the total number of units of desulphurization denitration unit,
TunUn platform generator set desulfurization denitration examination reward gas-to electricity hourage, PunIndicate the power generation capacity of corresponding unit;WmeiIt indicates
Coal electricity left and right unit total electricity, WumIndicate um platform unit annual contract electricity;
602) do not consider maintenance constraint, monthly for load proportion by each unit year quantity division to the moon, power energy allocation formula is as follows:
Um indicates that machine group #, t indicate month number, W in formulaumt' indicate um platform unit t month generated energy, WumIndicate um platform
Unit year total electricity, QtIndicate t month power grid electric demand, Q indicates annual power grid electric aggregate demand;
603) consider maintenance and annual electric quantity balancing constraint, unit maintenance month electricity is given by each moon generating capacity pro rate
Other months of the unit each moon electricity of unit is corrected, account load balancing constraints are destroyed at this time;It is as follows to distribute formula:
C in formulatIndicate maintenance after t month all units always imbalance electricity, Cum,tIndicate the um platform unit t month uneven electricity,
Wumt 1Indicate um platform unit t month generated energy after correcting;
604) consider monthly account load balancing constraints, carry out electricity in unit dimension and redistribute, carry out second of electricity amendment, point
It constrains and is met with rear monthly electric quantity balancing, unit annual contract Constraint will no longer satisfy;Enable t0=1, to the January
Electricity is first modified, and correction formula is as follows:
Know of that month deviation electricity are as follows:
T in formula0Indicate electricity amendment month number,Indicate t0Month all unit total power generations, Q1Indicate the demand of power grid in January
Electricity,Um platform unit t before expression second-order correction0Month generated energy,Um platform unit t after expression second-order correction0
Month generated energy;Um platform unit t after expression second-order correction0Month contract imbalance electricity;
605) third time amendment is carried out to electricity on time dimension;Guarantee t0Electricity before month is constant, by t0The deviation electricity of the moon
Amount distributes to t0Month afterwards;It is as follows to distribute formula:
W in formulaum,t 3Indicate um platform unit t month generated energy after correcting three times, t > t0;
606) t is enabled0=t0+ 1, the 3rd, 4 steps are repeated, the period later is successively modified, is adapted to November always;December
Modification method slightly has difference, its deviation electricity is reassigned to the 1-11 month;
607) step 603) -605 is repeated), until meeting precision.
8. a kind of provincial power network of aqueous bottle coal nuclear power according to claim 7 more power supply coordinated scheduling methods for a long time,
It is characterized in that: when step 7) determines the booting unit of pneumoelectric typical day, needing advanced promoting the circulation of qi to establish shutdown optimization by cable, most with unit
Smaller load rate is as startup-shutdown evaluation index, comprising the following steps:
701) according to the ratio of monthly average load and typical per day load, by each unit power energy allocation of pneumoelectric to typical day, really
Determine each moon typical case daily electricity of pneumoelectric unit;
702) pneumoelectric unit is divided into N group according to ownership power station, unit sorts from small to large according to installed capacity in each group;
703) setting pneumoelectric booting unit ratio of minimum load to maximum load constrains λ;
704) n=1, i=1 are enabled, and all units are set as being switched on;
705) n group power station booting unit load rate λ ' is calculated, if λ ' > λ and n+1 < N, enable n=n+1, then enable i=1, lay equal stress on
Multiple step 705);If λ ' > λ and n+1=N calculate completion and exit;If λ ' < λ, enables i=i+1, goes to step 706);
706) unit in n-th group power station is traversed, shuts down its i-th pneumoelectric unit, and the typical day that unit will be shut down
Electricity gives other booting units in power station according to installed capacity ratio, goes to step 705).
9. a kind of provincial power network of aqueous bottle coal nuclear power according to claim 8 more power supply coordinated scheduling methods for a long time,
It is characterized in that: when step 8) determines the booting unit of coal electricity typical day, using the unit capacity that is switched on as evaluation index, including with
Lower step:
801) each unit power energy allocation of coal electricity to typical day is determined according to monthly average load and typical per day load proportion
Each moon typical case daily electricity of coal motor group;
802) coal motor group is divided into N group according to ownership power station, unit sorts from small to large according to installed capacity in each group;
803) n=1, i=1 are enabled, and all units are set as being switched on;
804) all booting unit capacities and α are calculated, typical Daily treatment cost is with pmaxIt indicates, spare capacity is p ', pzong=p '+
pmaxIf α < pzong, then the unit booting of i-th, n-th of power station is set, and calculating terminates;If α > pzong, then go to step 805);
805) the unit sum in n-th of power station is that I shuts down i-th, n-th of power station unit, enable n=n+1 if i < I;If i=
I then enables n=n+1;
806) 804) if n < N, goes to step;If n=N enables n=1, i=i+1, go to step 804).
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611031880.4A CN106786790B (en) | 2016-11-19 | 2016-11-19 | A kind of provincial power network of aqueous bottle coal nuclear power more power supply coordinated scheduling methods for a long time |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611031880.4A CN106786790B (en) | 2016-11-19 | 2016-11-19 | A kind of provincial power network of aqueous bottle coal nuclear power more power supply coordinated scheduling methods for a long time |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106786790A CN106786790A (en) | 2017-05-31 |
CN106786790B true CN106786790B (en) | 2019-07-23 |
Family
ID=58971431
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201611031880.4A Active CN106786790B (en) | 2016-11-19 | 2016-11-19 | A kind of provincial power network of aqueous bottle coal nuclear power more power supply coordinated scheduling methods for a long time |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106786790B (en) |
Families Citing this family (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2019006733A1 (en) * | 2017-07-06 | 2019-01-10 | 大连理工大学 | Long-term joint peak regulation dispatching method for trans-provincial interconnected hydropower station cluster |
CN107749646B (en) * | 2017-10-12 | 2020-12-29 | 广东电网有限责任公司电力调度控制中心 | Power plant sequencing coefficient calculation method for monthly electric quantity regulation |
CN109978289B (en) * | 2017-12-27 | 2022-11-29 | 广东电网有限责任公司电力调度控制中心 | Electric power conversion electric quantity method for safety check before monthly market transaction |
CN108764620B (en) * | 2018-04-16 | 2021-12-07 | 中国科学院南京地理与湖泊研究所 | Water environment assessment rewarding system and method for river network area of Taihu river basin |
CN109167383B (en) * | 2018-08-17 | 2022-04-01 | 国网福建省电力有限公司 | Power system peak regulation optimization method based on accurate linearized power network model |
CN109149571B (en) * | 2018-09-21 | 2022-04-01 | 国网福建省电力有限公司 | Energy storage optimal configuration method considering characteristics of system gas and thermal power generating unit |
CN109284874B (en) * | 2018-10-26 | 2021-08-17 | 昆明电力交易中心有限责任公司 | Method, device and equipment for predicting daily generated energy of photovoltaic power station and storage medium |
CN109245134B (en) * | 2018-11-14 | 2021-06-18 | 上海交通大学 | Hybrid energy storage scheduling method and system based on virtual fuzzy adaptive control algorithm |
CN109636674B (en) * | 2019-01-23 | 2023-02-07 | 三峡大学 | Large-scale hydropower station group monthly transaction electric quantity decomposition and checking method |
CN110929428B (en) * | 2019-12-26 | 2021-03-23 | 华北电力大学 | Method and system for determining power generation capacity adequacy of power system |
CN111476407B (en) * | 2020-03-25 | 2021-06-15 | 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 |
CN111327080B (en) * | 2020-04-08 | 2021-08-10 | 浙江大学 | Multi-category unit oriented medium-and-long-term electric quantity combined decomposition method for power system |
CN111612269B (en) * | 2020-05-28 | 2021-11-30 | 国家电网公司西南分部 | Method for optimizing annual power transmission scheme of clean energy |
CN112686537B (en) * | 2020-12-29 | 2023-12-01 | 国网重庆市电力公司 | Method, system and equipment for determining combination of transitional operation day machine set |
CN113824149A (en) * | 2021-06-30 | 2021-12-21 | 国网甘肃省电力公司电力科学研究院 | New energy grid-connected oriented electric power and electric quantity balance analysis method |
CN113394820B (en) * | 2021-07-14 | 2022-07-12 | 国网甘肃省电力公司电力科学研究院 | Optimized scheduling method for new energy grid-connected power system |
CN114492085B (en) * | 2022-04-01 | 2022-07-01 | 中国能源建设集团湖南省电力设计院有限公司 | Regional power and electric quantity balancing method related to load and power supply joint probability distribution |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104537445A (en) * | 2015-01-13 | 2015-04-22 | 大连理工大学 | Network province two-stage multi-power short-period coordination peak shaving method |
CN105244921A (en) * | 2015-10-31 | 2016-01-13 | 山西大学 | Optimized reserve capacity distribution method in power system scheduling containing wind power generation, thermal power generation, hydro power generation, photovoltaic power generation, and gas power generation |
CN105678394A (en) * | 2014-11-07 | 2016-06-15 | 国家电网公司 | Multi-source and multi-cycle generation schedule formulation method |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100106575A1 (en) * | 2008-10-28 | 2010-04-29 | Earth Aid Enterprises Llc | Methods and systems for determining the environmental impact of a consumer's actual resource consumption |
-
2016
- 2016-11-19 CN CN201611031880.4A patent/CN106786790B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105678394A (en) * | 2014-11-07 | 2016-06-15 | 国家电网公司 | Multi-source and multi-cycle generation schedule formulation method |
CN104537445A (en) * | 2015-01-13 | 2015-04-22 | 大连理工大学 | Network province two-stage multi-power short-period coordination peak shaving method |
CN105244921A (en) * | 2015-10-31 | 2016-01-13 | 山西大学 | Optimized reserve capacity distribution method in power system scheduling containing wind power generation, thermal power generation, hydro power generation, photovoltaic power generation, and gas power generation |
Also Published As
Publication number | Publication date |
---|---|
CN106786790A (en) | 2017-05-31 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106786790B (en) | A kind of provincial power network of aqueous bottle coal nuclear power more power supply coordinated scheduling methods for a long time | |
Kienzle et al. | Valuing investments in multi-energy conversion, storage, and demand-side management systems under uncertainty | |
Chen et al. | Economic optimization of operations for hybrid energy systems under variable markets | |
Gazijahani et al. | Optimal day ahead power scheduling of microgrids considering demand and generation uncertainties | |
CN108133322A (en) | It is a kind of based on when sort run simulation balance of electric power and ener index calculating method | |
CN113095791B (en) | Comprehensive energy system operation method and system | |
CN103426032A (en) | Method for economically and optimally dispatching cogeneration units | |
CN109492861A (en) | A kind of Hydropower Stations mid-term electricity trading program decomposition method | |
CN103617453A (en) | Electric system medium and long term transaction operation plan obtaining method taking wind electricity harmonic absorption into consideration | |
Fan et al. | A Bi-level optimization model of integrated energy system considering wind power uncertainty | |
CN104573875A (en) | Low-carbon power source and power grid optimization planning method | |
CN106169117A (en) | A kind of virtual plant a few days ago with real-time competitive bidding model | |
Liu et al. | Multi-energy synergistic optimization in steelmaking process based on energy hub concept | |
CN105490309A (en) | Power grid peak regulation capacity-based wind power consumption evaluation method | |
CN110232583A (en) | A kind of electricity market marginal price planing method considering carbon emission power | |
CN110021932B (en) | Bilateral participation peak shaving auxiliary service capacity selection and economic model construction method | |
CN112365101A (en) | Thermal power generating unit peak regulation combined total coal consumption optimization method and system based on genetic algorithm | |
CN115689166A (en) | Method and system for aggregated utilization of regional distributed energy resources | |
CN105260801B (en) | Long-term power and electricity balance analysis method for large-scale power station group of hydropower enrichment power grid | |
CN114676878A (en) | Multi-region virtual power plant optimal scheduling method oriented to multi-energy complementation and low carbonization | |
CN104537445A (en) | Network province two-stage multi-power short-period coordination peak shaving method | |
CN107844652A (en) | A kind of power system production analogy method of the regulating course containing electricity | |
CN106651136A (en) | Day-ahead power generation plan compilation method of bilateral transaction and apparatus thereof | |
CN111178733A (en) | Abandoned wind power evaluation model based on equivalent power function method | |
Zambri et al. | Comparative study of net energy metering and feed-in tariff for the 496kWp UiTM segamat solar photovoltaic system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |