CN109636674A - A kind of monthly transaction quantity division of Hydropower Stations in Large Scale group and check method - Google Patents
A kind of monthly transaction quantity division of Hydropower Stations in Large Scale group and check method Download PDFInfo
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Abstract
A kind of monthly transaction quantity division of Hydropower Stations in Large Scale group and check method, it is the following steps are included: step 1) predicts day scale load；Step 2) determines that optimization calculates the load boundary condition in power station, and step 3) corrects transmission cross-section limitation；Step 4) corrects step power station water balance relationship；Step 5) corrects day part power balance relationship according to subsequent daily load deviation after limiting using the runoff information correction water and correction transmission cross-section predicted；Step 6) adjusts Hydropower Stations quantity division plan as quantizating index using different objective functions according to Various Seasonal.The object of the present invention is to provide the methods that a kind of pair of water power transaction electricity rationally decompose with check, not phenomena such as to avoid appearance transaction electricity conclusion of the business but power plant is not allowed to power generation, transaction electricity does not strike a bargain but power plant's super generating abandoning energy is penalized, thus the smooth execution of guarantee transaction electricity well.
Description
Technical field
The invention belongs to hydraulic and hydroelectric engineering technical fields, and in particular to a kind of monthly transaction electricity of Hydropower Stations in Large Scale group
Decomposition and check method.
Background technique
With the lasting increasing of China's water power scale and gradually implementing for electricity market relevant policies, water power participates in market
Competition is to realize the inexorable trend of most optimum distribution of resources.However water power participates in market competition and is faced with water uncertainty, reservoir
Regulation performance difference is big, reservoir comprehensive utilization contradiction, the upstream and downstream step competition dispatch of different owners, transmission cross-section limitation cause
Often there is transaction electricity so that water power, which is participated in market competition, is faced with many difficulties in a series of complex problems such as local nest electricity
Phenomena such as conclusion of the business but power plant are not allowed to power generation, transaction electricity does not strike a bargain but power plant's super generating abandoning energy is penalized is only few
Part electricity is able to carry out down, and serious blow hydroelectric power plant participates in the confidence of electricity market, while also greatly affected electricity
The safe and stable operation of net.Under Power Market, how water power transaction electricity rationally decompose and check, ensure and hand over
It is that current water power participates in power market transaction theory and practice problem urgently to be resolved that easy electricity, which smoothly executes,.
Currently, domestic and foreign scholars have done numerous studies work for transaction under Power Market or contract rolling aspect
Make, achieve the research achievement of many novelties, mainly there is minimum, each unit with the monthly quantity division deviation of each power plant averagely to bear
Lotus rate and ideal scheme deviation are minimum, declare Contract generation and final Contract generation deviation minimum carries out year or monthly electricity
The object for decomposing, but studying is the thermoelectricity system of no hydraulic connection mostly.The complexity of electricity market is participated in view of water power, at present
Existing scholar studies water power and participates in power market transaction contract rolling problem, but the emphasis paid close attention to is that gene-ration revenue is maximum
Contract rolling, single station Contract generation benefit maximum, cascade hydropower participate in spot exchange and across valence in Hydropower Stations year
The annual contract quantity division of risk analysis and monthly trade market Income Maximum that contract transaction in area's faces, and research object
Scale is smaller, and some Complex Constraints such as transmission cross-section limitation, balance of electric power and ener etc. are not very prominent.Research object of the present invention is
Hydropower Stations in Large Scale group, need to couple complicated water balance, balancing the load, electric quantity balancing, transmission cross-section limitation etc. constrain into
Row multidimensional is checked, and under the premise of guaranteeing power network safety operation, also needs to consider that each power station trades and generates electricity in monthly electricity
The fairness of dispatch coordination, therefore the monthly transaction quantity division of Hydropower Stations in Large Scale group and check problem are in system modelling and solution
The more other power supplys of aspect and the integrated water power scheduling method of tradition have larger difference.
Summary of the invention
The object of the present invention is to provide the methods that a kind of pair of water power transaction electricity rationally decompose with check, to avoid going out
Now transaction electricity strikes a bargain but that power plant is not allowed to power generation, transaction electricity does not strike a bargain but power plant's super generating abandoning energy is penalized etc. is existing
As to ensure the smooth execution of transaction electricity well.
A kind of monthly transaction quantity division of Hydropower Stations in Large Scale group and check method, which is characterized in that it includes following step
It is rapid:
Step 1) predicts day scale load: predicting using day as scale, using the moon as province's tune load in period；
The determining optimization of step 2) calculates the load boundary condition in power station: power station being pressed and determines water participation water balance with electricity
It is calculated with electric quantity balancing, the day power generation meter of load deduction thermoelectricity, wind-powered electricity generation and photo-voltaic power supply is adjusted using the province that step 1) prediction obtains
After drawing, remaining load is to optimize the load boundary condition for calculating power station；
Step 3) corrects transmission cross-section limitation, and transmission cross-section limitation includes that transmission line capability limits, when line transmission wattful power
When rate is more than steady state stability limit, the active power in online power station is limited.
Step 4) corrects step power station water balance relationship, after the diameter stream information that prediction obtains changes, according to
Different target function checks step power station water balance relationship as quantizating index again；
Step 5) when using prediction runoff information correction water and correction transmission cross-section limit after, according to subsequent day
Load deviation corrects day part power balance relationship；
Step 6) adjusts Hydropower Stations electricity as quantizating index using different objective functions according to Various Seasonal
Measure resolution plan.
The objective function includes objective function 1 and objective function 2, and objective function 1 is with the moon on every power station same day
Tired generated energy schedule and the minimum target of system planning schedule deviation maximum value, objective function are as follows:
Objective function 2 is with the end of month the accumulative total of generating electricity and the transaction minimum target of electricity relative deviation maximum value, target letter
Number is as follows:
In formula, F1Indicate that generated energy completeness and system planning completeness deviation are tired out most in the moon of period t in all power stations
Big value, F2Indicate all power station the end of month the accumulative total of generating electricity and transaction electricity deviation maximum value；T indicates of that month number of days；It indicates
Power station m tires out generated energy from the beginning of the month to the moon of t period；EmIndicate the monthly transaction total electricity of power station m, unit MWh；It calculates
Time scale is day, using newest load prediction, Runoff Forecast and the practical moon tired real generated energy as boundary condition, is rolled daily
It is dynamic to calculate to the end of month；M is that optimization calculates power station sum.
It in step 4), when optimizing scheduling using objective function 1, uses and water algorithm is determined with electricity, if having abandoning water
It is normal to abandon；When using objective function 2 optimize scheduling when, if prediction water it is larger have abandon water when, by transaction electricity power generation deposit
Water risk is being abandoned, plan power output should be increased with reducing abandoned water, to avoid the average daily water level of schedule periods that big ups and downs occur, in the original plan
Power output is uniformly increased on the basis of power output, until generated output or generating flow reach maximum, is normally abandoned if still having abandoning water；If adjusting
Spend phase prediction water it is smaller when, be not able to satisfy transaction electricity, then should in upper, the middle ten days reduction plan power output to maintain higher level,
The multiple electricity of head effect is made full use of, is gradually increased power output again to the end of month up to level of dead water, to complete monthly friendship as much as possible
Easy electricity.
In step 5), the calculating of subsequent daily load deviation is as follows:
△ N in formulatIndicate t moment electricity supply and demand deviation；It indicates
T moment residue load；It is power station m in t period average output, unit MW；Electricity is only involved in be not involved in water balance
Power station (including thermal power station, wind power station, photovoltaic plant and a small number of power stations) x of balance is measured in t period average output；For
Power grid is predicted to save in the t period adjusts load, unit MWh, and the workload demand at the daily rail vehicle roller test-rig same day to the end of month is dynamic change
Value；As △ NtWhen > ε, overgauge is indicated, need to increase power station power output to meet workload demand；As △ NtWhen <-ε, negative bias is indicated
Difference, it is desirable to reduce contribute to meet power balance in power station；When | △ NtWhen |≤ε, indicate that load is in a basic balance.
In step 6), objective function 1 and objective function 2 are respectively adopted as quantizating index, index according to Various Seasonal
Signed, direct index numerical value is bigger, indicates that the tired generated energy super generating in power station month is more serious, needs preferentially to reduce power output；It is negative to refer to
It is smaller to mark numerical value, indicates that the tired real generated energy in power station month is owed more serious, needs preferentially to increase power output；Achievement data closer to 0,
Indicate hydropower station amount closer to plan electricity.
When operation, using above-mentioned quantizating index, Hydropower Stations quantity division Plan rescheduling strategy is as follows:
As △ NtWhen > ε, power grid short of electricity is indicated, the power station Yao Jia great power output is just able to satisfy the equilibrium of supply and demand, calculates and participate in optimization
The objective function for calculating power station, rejects no idle capacity or water level has reached the power station of level of dead water, then by signed
Target function value sort from small to large, sort it is more forward shows power station from plan electricity gap it is bigger, should preferentially increase out
Power, if balance power plant and overgauge power station power output are successively increased, until balanced load notch without minus deviation power station；
As △ NtWhen <-ε, power grid electricity more than needed is indicated, it is desirable to reduce power station power output is just able to satisfy the equilibrium of supply and demand, calculates ginseng
The objective function in power station is calculated with optimization, rejecting has the power station for abandoning water, then by the target function value of signed from big
To small sequence, sequence is more forward to show that power station super generating electricity is more serious, preferential to reduce power output, if without overgauge power station,
Balance power plant and minus deviation power station power output are successively reduced until balanced load notch；
When | △ NtWhen |≤ε, indicate that power grid has been balanced in t moment load.
In step 1), the plan power output of fire, wind, light three classes power supply is deducted.
In step 1), first according to the monthly current monthly load total amount of load total amount growth trend prediction of history, then with
The history same period day scale load is typical moon load, and prediction is saved the scores such as internal loading total amount and is assigned to every day, obtains original negative
Then lotus prediction result utilizes time series method, latter with one week practical day scale load rolling amendment before current time
The prediction in week saves internal loading, and revised province's interior prediction load is superimposed transferring electricity from the west to the east again and send load overseas, and composition needs to balance
Province's tune load.
In step 3), according to the profile data that power grid day operation mode obtains, propose using daily roll mode dynamic
Section limiting value is updated, when optimizing using objective function 1, if section gets over up or down limit, each power station on section
Power output strictly is decreased or increased by equal ratio, is required until meeting section limitation, whole process also needs to consider reservoir level limitation, hair
Magnitude of current limitation, power station go out the constraint conditions such as power limit.
In step 3), when optimizing using objective function 2, if section gets over the upper limit, each water on section is calculated
The objective function in power station, rejecting has the power station for abandoning water, then sorts from large to small the target function value of signed, sorts
It is more forward to show that power station super generating electricity is more serious, it is preferential to reduce the forward power station power output of deviation, it is therefore an objective to avoid super generating excessive,
The execution of remaining power station trading program is influenced, if target value is identical, Deng than being reduced；If section gets over lower limit, rejecting does not have
Idle capacity or water level have reached the power station of level of dead water, and then the target function value of signed sorts from small to large, sequence
It is more forward to show that power station is bigger from plan electricity gap, it is preferential to increase the forward power station power output of deviation, it is therefore an objective to promote it most
It is fast to complete transaction electricity, equally, if target value is identical, Deng than increasing.
By adopting the above technical scheme, following technical effect can be brought:
The monthly transaction quantity division of Hydropower Stations in Large Scale group proposed by the present invention and check method model, can effectively realize water
Electric marketing and power generation dispatching seamless connection, to solving, transaction electricity strikes a bargain but power plant is not allowed to power generation, transaction electricity does not have
There is the problems such as conclusion of the business but penalized power plant's super generating abandoning energy, and ensures safe and stable operation of power system and economic benefit
Raising is of great significance.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples:
Fig. 1 is that the monthly transaction quantity division of Hydropower Stations in Large Scale group and check method solve frame diagram；
Fig. 2 is to save in flood season to adjust balancing the load figure (1 model of objective function)；
Fig. 3 is to save the withered phase to adjust balancing the load figure (2 model of objective function)；
Fig. 4 is flood season part power station scheduling process figure (1 model of objective function)；
Fig. 5 is withered phase part power station scheduling process figure (2 model of objective function)；
Fig. 6 is super/few generated energy in each power station and abandoning water result table under the withered phase different target of flood.
Specific embodiment
A kind of monthly transaction quantity division of Hydropower Stations in Large Scale group and check method as shown in Figures 1 to 6, it is pre- using rolling
The day scale load of survey, after successively deducting the fire for being not involved in optimization, wind, light three classes power supply and part power station plan power output,
Then the boundary condition that remaining load is calculated as optimization completes deviation size as the monthly friendship of heuristic information iteration optimization using progress
Easy quantity division couples water balance, balancing the load, electric quantity balancing, transmission cross-section limitation requirement progress multidimensional to day scale
It checks, forms the day scale generation schedule that can be executed.Two kinds of different targets are respectively adopted according to water is of different sizes in the present invention
Function, target 1 are to tire out generated energy schedule and system planning schedule deviation maximum value most by the moon on every power station same day
Small, target 2 is that the end of month the accumulative total of generating electricity and transaction electricity relative deviation maximum value are minimum, and this method is as steps described below (1)-
(6) it realizes:
1) day scale load is predicted.Yunnan Power System load is made of many compositions, including ground turns electricity down, saves internal loading, west
Burma, electric Dong Songjisong Laos, in addition to electricity is turned on ground down, other load summations are to save balancing load.It transfers electricity from the west to the east and send and overseas bear
Lotus agreement electricity between provincial government has determined in advance when carrying out monthly balancing the load, therefore need to only predict province's internal loading.Due to
Yunnan Province's whole year climate change is little, and power load is influenced smaller by uncertain factors such as temperature, therefore the present invention is quasi- adopts
With the distribution of the typical moon and time series method method is combined come rail vehicle roller test-rig using day as scale, using the moon as province's internal loading in period,
Its basic ideas is to predict current monthly load total amount according to the monthly load total amount growth trend of history first, then with the history same period
Day scale load is typical moon load, and prediction is saved the scores such as internal loading total amount and is assigned to every day, obtains initial load prediction knot
Then fruit utilizes time series method, with the prediction in one week practical day scale load rolling amendment latter week before current time
Internal loading is saved, revised province's interior prediction load is superimposed transferring electricity from the west to the east again and send load overseas, constitutes what the present invention needed to balance
It saves and adjusts load.
2) determine that optimization calculates the load boundary condition in power station.Under Power Market, thermoelectricity and without runoff and without base
The water power of plinth data is not involved in optimization, is per diem equal electricity and generates electricity；Wind-powered electricity generation and photovoltaic according to third party predict electricity into
Row power generation；In addition, there are also a small number of big power stations when carrying out the transaction of monthly electricity, it has been determined that day scale voltameter is drawn, these water
Press the province's balancing load deduction for determining that water participates in water balance and electric quantity balancing calculates, and predicts using step 1 with electricity in power station
After the daily trading planning of above-mentioned power supply, remaining load is to optimize the load boundary condition for calculating power station；
3) correction transmission cross-section limitation.Transmission cross-section limitation of the present invention refers mainly to transmission line capability limitation, works as route
When transmitting active power is more than steady state stability limit, the active power to online power station is needed to limit.It is limited about transmission cross-section
System, there are two types of processing methods at present: 1) section limitation being defined as fixed value, such methods are fairly simple, but cannot be really anti-
Reflect the actual conditions of power grid；2) section limitation is defined as real-time change value, these methods are more complicated, need to obtain in real time
The stable flow data of power grid, is mainly used in ultra-short term or Real-Time Scheduling.The present invention combines above two method, according to power grid day
The profile data that the method for operation obtains proposes to update section limiting value using daily roll mode dynamic.When using objective function 1
When optimizing, if section gets over up or down limit, each power station is strictly by waiting ratio to decrease or increase power output on section, until full
Sufficient section limitation requires, and whole process also needs to consider that reservoir level limitation, generating flow limitation, power station go out the constraint such as power limit
Condition；When optimizing using objective function 2, if section gets over the upper limit, the objective function in each power station on section is calculated,
Rejecting has the power station for abandoning water, then sorts from large to small the target function value of signed, and sequence is more forward to show water power
Super generating of standing electricity is more serious, preferential to reduce the forward power station power output of deviation, it is therefore an objective to avoid super generating excessive, influence remaining power station
The execution of trading program, if target value is identical, Deng than being reduced；If section gets over lower limit, no idle capacity or water level are rejected
The power station of level of dead water has been reached, then the target function value of signed has sorted from small to large, sequence is more forward to show water power
It stands bigger from plan electricity gap, it is preferential to increase the forward power station power output of deviation, it is therefore an objective to promote it to complete transaction electricity as early as possible,
Equally, if target value is identical, Deng than increasing；
4) step power station water balance relationship is corrected.When the diameter stream information predicted using third party system is become
After change, needing to check step power station water balance relationship again, power station preferable for regulation performance perhaps influences less,
But week is adjusted and the influence of following power station is very big.The present invention, which is pressed, determine the progress water balance check of water algorithm with electricity, when adopting
When optimizing scheduling with objective function 1, strict implement determines water algorithm with electricity, normally abandons if having abandoning water；When using target letter
When number 2 optimizes scheduling, if prediction water it is larger have abandon water when, by transaction electricity power generation exist abandon water risk, meter should be increased
Power is marked with reducing abandoned water, to avoid the average daily water level of schedule periods that big ups and downs occur, the present invention is taken on original plan power output basis
Upper uniform increase is contributed, until generated output or generating flow reach maximum, is normally abandoned if still having abandoning water；If schedule periods are predicted
When water is smaller, it is not able to satisfy transaction electricity, then should be made full use of in upper, the middle ten days reduction plan power output to maintain higher level
The multiple electricity of head effect is gradually increased power output to the end of month up to level of dead water, to complete monthly transaction electricity as much as possible again；
5) day part power balance relationship is corrected.When the runoff information correction water and correction transmission cross-section using prediction
After limitation, part hydropower station power output and initial solution can have certain deviation；On the other hand, the day scale of daily rolling forecast
Load and prediction yesterday day scale load there is also certain deviation, the two deviations directly result in the accumulative power output in power station with
Remaining loadThere can be relatively large deviation, it is therefore desirable to calculated for subsequent daily load deviation: △ N in formulatIndicate t moment electricity supply and demand deviation；Indicate t moment residue load；For water power
M stand in t period average output, unit MW；The power station x that electric quantity balancing is only involved in be not involved in water balance is put down in the t period
Contribute；For power grid the t period predict save adjust load, unit MWh, the workload demand at the daily rail vehicle roller test-rig same day to the end of month,
For dynamic change value；As △ NtWhen > ε, overgauge is indicated, need to increase power station power output to meet workload demand；As △ Nt<-ε
When, indicate minus deviation, it is desirable to reduce contribute to meet power balance in power station；When | △ NtWhen |≤ε, indicate that load is put down substantially
Weighing apparatus；Wherein computational accuracy ε=0.001MWh.
6) plan of Hydropower Stations quantity division is adjusted.Adjustment resolution plan needs to solve how to select adjustment water power
Stand, participate in power station sequence, the power output key problems such as adjustment amplitude of adjustment, these problems relied primarily in actual schedule through
Processing is tested, as a result quality and the experience accumulation of scheduling there are much relations.For this purpose, target is respectively adopted according to Various Seasonal in the present invention
Function 1 and objective function 2 are used as quantizating index, and index signed, direct index numerical value is bigger, indicate the tired generated energy in power station month
Super generating is more serious, needs preferentially to reduce power output；Negative index value is smaller, indicate the tired real generated energy in power station month owe it is more serious,
It needs preferentially to increase power output；Achievement data indicates hydropower station amount closer to plan electricity closer to 0.Utilize above-mentioned amount
Change index, Hydropower Stations quantity division Plan rescheduling strategy is as follows:
As △ NtWhen > ε, power grid short of electricity is indicated, need to increase power station power output and be just able to satisfy the equilibrium of supply and demand, it is excellent to calculate participation
Change the objective function for calculating power station, rejects no idle capacity or water level has reached the power station of level of dead water, it then will be with positive and negative
Number target function value sort from small to large, sort it is more forward shows power station from plan electricity gap it is bigger, should preferentially increase
Power output, it is therefore an objective to it be promoted to complete transaction electricity as early as possible.If successively increasing balance power plant and overgauge without minus deviation power station
Power station power output, until balanced load notch.
As △ NtWhen <-ε, power grid electricity more than needed is indicated, it is desirable to reduce power station power output is just able to satisfy the equilibrium of supply and demand, calculates ginseng
The objective function in power station is calculated with optimization, rejecting has the power station for abandoning water (only effective to objective function 2), then will be with positive and negative
Number target function value sort from large to small, sort it is more forward shows that power station super generating electricity is more serious, it is preferential to reduce power output, mesh
Be to avoid super generating excessive, influence the execution of other power station trading programs.If successively reducing balance without overgauge power station
Power plant and minus deviation power station power output are until balanced load notch.
When | △ NtWhen |≤ε, indicate that power grid has been balanced in t moment load, solution frame diagram of the invention is shown in Fig. 1.
Emphasis of the present invention considers to abandon water under the Power Market that water power accounts for absolute ascendancy and transaction electricity is fair
The problem of execution.On the one hand, energy-saving and emission-reduction and clean energy resource are being adhered to preferentially under online policy, water power needs to consider as few as possible
Abandon water；On the other hand, under the premise of monthly transaction electricity is fixed, different power stations should avoid super generating as far as possible, few hair, complete
The inconsistent equal unjustnesses problem of progress, therefore, under Power Market, the easy quantity division of Hydropower Stations in Large Scale flock-mate and school
Core needs to consider two kinds of situations of flood season and non-flood period:
1. objective function 1: when flood season, most power stations, which all exist, abandons water, and it is fair public should to pay the utmost attention to transaction electricity at this time
It is positive to execute, therefore the present invention tires out generated energy schedule and system planning schedule deviation most with the moon on every power station same day
It is worth minimum target greatly, objective function is as follows:
In formula, F1Indicate that generated energy completeness and system planning completeness deviation are tired out most in the moon of period t in all power stations
Big value；T indicates of that month number of days；Indicate that power station m tires out generated energy from the beginning of the month to the moon of t period；EmIndicate power station m's
Monthly transaction total electricity, unit MWh；Calculating time scale of the invention be day, using newest load prediction, Runoff Forecast and
The practical moon, tired real generated energy was as boundary condition, daily rolling calculation to the end of month；M is that optimization calculates power station sum.
2. objective function 2: when non-flood period, most power station waters are less, should pay the utmost attention to abandon less as far as possible water or
Water is not abandoned, then considers further that transaction electricity justice executes, therefore the present invention is opposite inclined with the end of month the accumulative total of generating electricity and transaction electricity
The poor minimum target of maximum value, objective function are as follows:
In formula, F2Indicate all power station the end of month the accumulative total of generating electricity and transaction electricity deviation maximum value.It is compared with target 1,
It is consistent that target 2 does not pursue all power station schedules of each period, only need to complete monthly transaction electricity as far as possible, avoids the tired electricity of the moon
Amount has super generating or few discovery as occurring.
Its constraint condition expression formula is as follows:
(1) water balance constrains
In formula,Respectively power station m the forecast reservoir inflow of t period, generating flow, abandon water flow,
Unit is m3/s；WithIndicate power station m last storage capacity, unit m at the beginning of the t period3；△t=24 × 60 × 60, unit s.
(2) single period account load balancing constraints
In formula,It is power station m in t period average output, unit MW；Electricity is only involved in be not involved in water balance
The power station x of balance is in t period average output；It predicts to save in the t period for power grid and adjusts load, unit MWh is rolled pre- daily
The workload demand at the same day to the end of month is reported, is dynamic change value.
(3) the monthly transaction Constraint in power station
In formula,And EmGenerated energy and monthly transaction total electricity of the respectively power station m in the t period, unit MWh, this is about
Beam is only effective to objective function 1, invalid to objective function 2.
(4) transmission of electricity control section constraint
System includes several level-one control sections and power station, and each level-one control section equally may include several Two-stage controls
Section and power station, and so on:
In formula,WithKth grade control section power station gross capability and the section transmission of electricity upper limit are indicated, according to operation of power networks side
Formula is determining, unit MW；mkIndicate the power station number for being directly incorporated into kth grade control section；K indicates that control section is classified number.
(5) power output daily amplitude restriction
In formula, △ NmIndicate that former and later two periods of power station m contributes amplitude of variation, it is to avoid contributing that this, which constrains main function,
The excessive influence upstream and downstream navigation safety of daily amplitude.
Other constraints: water level bound, power output bound, generating flow bound etc..
Research object is now decomposed into the monthly transaction electricity tracking of Yunnan Province of China the whole province, the extensive water proposed to this patent
The monthly transaction quantity division of station group is verified with check method.The present invention uses on July 9th, 2018, actual number on May 9
According to flood, withered phase model is separately verified, No. 1-9 is real data, and No. 10-31 is analogue data, and Fig. 2 and Fig. 3 are that network load is flat
Weighing apparatus figure, Figure 4 and 5 flood withered phase part power station scheduling process figure, table 1 are super/few power generations in each power station under the withered phase different target of flood
Amount and abandoning water are as a result, obtain following knot in the whole network balancing the load and electricity schedule and in terms of abandoning two, water separately below
By:
(1) the whole network balancing the load situation.Power supply involved in the whole network balancing the load of the present invention is that Yunnan Province's balancing is all
Water power, thermoelectricity, wind-powered electricity generation and photovoltaic, it is assumed that thermoelectricity, wind-powered electricity generation, photovoltaic and small part water power daily trading planning be determine value, purpose
It is to focus more than 50 GROUP OF HYDROPOWER STATIONS transaction quantity divisions and check method inspection.On the whole from Fig. 2 and 3, it is not involved in deduction
After optimization calculates power station transaction electricity, the power station that participation optimization calculates preferably realizes negative in flood, withered phase quantity division
Lotus balance, the whole network do not occur super generating or few discovery as.
(2) electricity schedule and abandoning regimen condition.
Flood season scheme is analyzed first, and table 1 is the results show that 1 Lancang River of flood season target, Jinsha jiang River, the Zhujiang River, Red River, Yi Luowa
River valley super/few generated energy deviation mean value in bottom is respectively -1.59%, -2.55%, -9.06%, -5.18% and 0.23%, target
2 each basin deviation mean values be respectively -16.53%, 5.86%, -19.65%, -31.5% and 22.92%, 1 absolute value of target compared with
2 absolute value of target reduces 938.04%, 129.9%, 116.7%, 507.18% and 9531.09% respectively, it can be seen that mesh
Mark 1 preferably controls super/few generated energy in power station；On the other hand, abandoning water mean value in each basin of flood season target 1 is respectively
116556,212252,13993,3885 and 350,220,000 m3, each basin of target 2 abandon water mean value be respectively 116775,190832,
8455,8409 and 307,420,000 m3, Jinsha jiang River, the Zhujiang River, the bottom Yi Luowa river valley target 1 are abandoned water and are increased separately compared with target 2
11.22%, 65.5% and 13.92%, Lancang River Watershed abandons water and remains basically stable, but the abandoning water of Red River target 2 is instead
It is bigger than target 1, the reason is that each hydroelectric station surplus water of Red River is much smaller compared to other basin water power stations, when load is greater than always
When power output needs power station to increase power output, the present invention is sorted from large to small by water is abandoned, and is abandoned the big power station of water and is preferentially issued additional,
Purpose is to try to balance the abandoning water pressure in each power station.On the whole, although the abandoning water average ratio target 1 of target 2 is few
7%, but super/few generated energy average ratio target 1 of target 2 increases 144.6%, it means that and each water power station of target 2 month is tired
It calculates generated energy and plan electricity deviation is bigger, compliance rate is lower, weighs in terms of abandoning water and transaction electricity compliance rate amplification
Consider, flood season storage capacity compensation space is limited, and target 1 is more suitable for flood season scheme, and part power station calculated result is as shown in Figure 4.
The figure includes two class power stations, is that compliance rate preferably (it is very good with target advance registration to calculate progress) and poor water respectively
Power station, the former steps on some power stations such as Huang, big Hua Qiao, precipice Yang Shan are in No. 10-16 larger amount of increase of power output appearance, the reason is that No. 1-9
The moon tired real generated energy be not up to target advance requirement, when quantity division is suitably more arranges generation schedule, it is promoted to keep up with as early as possible
Target advance；There is larger drop range in also some power stations such as Xi Luodu, Jia Yan, the power output of nasal mucus south river power station 10-16, the reason is that
No. 1-9 moon, tired real generated energy was more than that target advance requires, and when decomposition suitably reduces generation schedule, avoided later period super generating excessive,
Other power station trading programs are influenced to execute；The poor power station of compliance rate, such as bavin rock patch, horse block up mountain, Nansha, these water power
Station fails completion plan electricity, and main cause is that these power station waters are seldom, but monthly transaction electricity is very big, flat through water amount
Weighing apparatus check after, upper reservoir level is reduced to level of dead water, powerlessly undertake subsequent power generation plan, this point can from the left of Fig. 4 water level and
Reservoir inflow is verified.
Analyze withered phase scheme again, the Lancang River, Jinsha jiang River, the Zhujiang River, Red River, the bottom Yi Luowa river valley target 1 surpass/lack generated energy
Deviation mean value is respectively -6.95%, -4.39%, -8.2%, -8.07%, -6.66%, each basin deviation mean value of target 2 difference
Be -6.69%, 12.01%, -9.75%, -4.67%, 52.62%, 2 deviation of target compared with 1 amplification of target be respectively -3.71%,
173.07%, 18.86%, -42.13%, 689.63%, it can be seen that in addition to the river valley of the bottom Yi Luowa, remaining two, 4 basin
Target deviation is simultaneously little；On the other hand, it is respectively 2560,1452,3528,1900,71,110,000 that water mean value is abandoned in each basin of target 1
m3, it is respectively 209,772,213,444,9,130,000 m that water mean value is abandoned in each basin of target 23, target 2 abandon water subtract respectively compared with target 1
Lack 1143%, 88%, 1555%, 328%, 679%, it is total to abandon 1,500,000,000 m of discharge reduction3.On the whole, target 1 and target 2
Super/few generated energy entirety absolute value of the bias is respectively 6.58% and 9.49%, and deviation is smaller, but the abandoning of target 1 water mean value is
29880000 m3, target 2 is only 5,500,000 m3, the range of decrease is up to 443%, range of decrease highly significant, from abandoning water and transaction electricity compliance rate
Tradeoff considers that withered phase storage capacity compensation space is bigger in terms of amplification, and target 2 is more suitable for withered phase scheme, and part power station calculates knot
Fruit is as shown in Figure 5.The figure equally includes that compliance rate is poor and preferable two class power station, the former is such as Dayingjiang River step, peaceful river one
Grade etc., their super generatings are than more serious, the reason is that this kind of power station regulation performance is poor, when the larger and monthly transaction electricity mistake of water
Hour, to avoid abandoning water and super generating electricity, the power generation share that super generating occupies is by the preferable power station vacating space of regulation performance；
When the power station water of performance difference to be regulated is reduced, abandons water and also reduce therewith, at this point, there is the power station of regulating power more accordingly
Generation schedule is arranged, to meet workload demand, therefore have regulating power power station power output process is in " bow " font, such as Jin An substantially
Bridge, imperial opening, kwan-yin rock etc..Xiaowan Hydropower Station does not complete plan electricity, the reason is that such power station is balance power plant, is not handed over
Easy electricity limitation, plays balancing power network load effect.
Simulation calculated result shows that model proposed by the present invention is able to satisfy current monthly of Yunnan power exchange substantially
Functionization demand in electricity trade market efficiently solves the practical difficulty that current electric quantity transaction is connected defective tightness with power generation dispatching
Topic, the fining scheduling for improving Yunnan power exchange are horizontal.
Claims (10)
1. a kind of monthly transaction quantity division of Hydropower Stations in Large Scale group and check method, which is characterized in that it the following steps are included:
Step 1) predicts day scale load: predicting using day as scale, using the moon as province's tune load in period；
The determining optimization of step 2) calculates the load boundary condition in power station: power station being pressed and determines water participation water balance and electricity with electricity
EQUILIBRIUM CALCULATION FOR PROCESS is measured, after the daily trading planning for adjusting load to deduct thermoelectricity, wind-powered electricity generation and photo-voltaic power supply using the province that step 1) prediction obtains,
Remaining load is to optimize the load boundary condition for calculating power station；
Step 3) corrects transmission cross-section limitation, and transmission cross-section limitation includes that transmission line capability limits, when line transmission active power is super
When crossing steady state stability limit, the active power in online power station is limited；
Step 4) corrects step power station water balance relationship, after the diameter stream information that prediction obtains changes, according to difference
Objective function checks step power station water balance relationship as quantizating index again；
Step 5) when using prediction runoff information correction water and correction transmission cross-section limit after, according to subsequent daily load
Deviation corrects day part power balance relationship；
Step 6) adjusts Hydropower Stations electricity point as quantizating index using different objective functions according to Various Seasonal
Solution plan.
2. the monthly transaction quantity division of Hydropower Stations in Large Scale group according to claim 1 and check method, it is characterised in that:
The objective function includes objective function 1 and objective function 2, and objective function 1 tires out generated energy with the moon on every power station same day
Schedule and the minimum target of system planning schedule deviation maximum value, objective function are as follows:
Objective function 2 is with the end of month the accumulative total of generating electricity and the transaction minimum target of electricity relative deviation maximum value, and objective function is such as
Under:
In formula, F1Indicate that generated energy completeness and system planning completeness deviation maximum value are tired out in the moon of period t in all power stations,
F2Indicate all power station the end of month the accumulative total of generating electricity and transaction electricity deviation maximum value；T indicates of that month number of days；Indicate water power
M stand from the beginning of the month to the moon of t period tired generated energy；EmIndicate the monthly transaction total electricity of power station m, unit MWh；Calculate the time
Scale is day, using newest load prediction, Runoff Forecast and the practical moon tired real generated energy as boundary condition, rolls meter daily
It calculates to the end of month；M is that optimization calculates power station sum.
3. the monthly transaction quantity division of Hydropower Stations in Large Scale group according to claim 2 and check method, it is characterised in that:
It in step 4), when optimizing scheduling using objective function 1, uses and water algorithm is determined with electricity, normally abandoned if having abandoning water；When
When optimizing scheduling using objective function 2, if prediction water it is larger have abandon water when, by transaction electricity power generation exist abandon water wind
Danger should increase plan power output with reducing abandoned water, to avoid the average daily water level of schedule periods that big ups and downs occur, on basis of contributing in the original plan
Upper uniform increase is contributed, until generated output or generating flow reach maximum, is normally abandoned if still having abandoning water；If schedule periods are predicted
When water is smaller, it is not able to satisfy transaction electricity, then should be made full use of in upper, the middle ten days reduction plan power output to maintain higher level
The multiple electricity of head effect is gradually increased power output to the end of month up to level of dead water, to complete monthly transaction electricity as much as possible again.
4. the monthly transaction quantity division of Hydropower Stations in Large Scale group according to claim 2 or 3 and check method, feature exist
In: in step 5), the calculating of subsequent daily load deviation is as follows:
△ N in formulatIndicate t moment electricity supply and demand deviation；When indicating t
Carve remaining load；It is power station m in t period average output, unit MW；To be not involved in water balance, to be only involved in electricity flat
Power station (including thermal power station, wind power station, photovoltaic plant and a small number of power stations) x of weighing apparatus is in t period average output；For power grid
It predicts to save in the t period and adjusts load, unit MWh, the workload demand at the daily rail vehicle roller test-rig same day to the end of month is dynamic change value；When
△NtWhen > ε, overgauge is indicated, need to increase power station power output to meet workload demand；As △ NtWhen <-ε, minus deviation is indicated, need
Power station power output is reduced to meet power balance；When | △ NtWhen |≤ε, indicate that load is in a basic balance.
5. the monthly transaction quantity division of Hydropower Stations in Large Scale group according to claim 4 and check method, it is characterised in that:
In step 6), objective function 1 and objective function 2 are respectively adopted as quantizating index according to Various Seasonal, index signed,
Direct index numerical value is bigger, indicates that the tired generated energy super generating in power station month is more serious, needs preferentially to reduce power output；Negative index value is got over
It is small, indicate that the tired real generated energy in power station month is owed more serious, needs preferentially to increase power output；Achievement data indicates water power closer to 0
Generated energy stand closer to plan electricity.
6. the monthly transaction quantity division of Hydropower Stations in Large Scale group according to claim 5 and check method, which is characterized in that
When operation, using above-mentioned quantizating index, Hydropower Stations quantity division Plan rescheduling strategy is as follows:
As △ NtWhen > ε, power grid short of electricity is indicated, the power station Yao Jia great power output is just able to satisfy the equilibrium of supply and demand, calculates participation optimization and calculates
The objective function in power station, rejects no idle capacity or water level has reached the power station of level of dead water, then by the mesh of signed
Offer of tender numerical value sorts from small to large, and sequence is more forward to show that power station is bigger from plan electricity gap, should preferentially increase power output, if
Without minus deviation power station, then balance power plant and overgauge power station power output are successively increased, until balanced load notch；
As △ NtWhen <-ε, power grid electricity more than needed is indicated, it is desirable to reduce power station power output is just able to satisfy the equilibrium of supply and demand, calculates and participates in optimization
The objective function in power station is calculated, rejecting has the power station for abandoning water, then arranges the target function value of signed from big to small
Sequence, sequence is more forward to show that power station super generating electricity is more serious, preferential to reduce power output, if successively subtracting without overgauge power station
Power plant and minus deviation power station power output are balanced less until balanced load notch；
When | △ NtWhen |≤ε, indicate that power grid has been balanced in t moment load.
7. the monthly transaction quantity division of Hydropower Stations in Large Scale group described according to claim 1 or 2 or 3 or 5 or 6 and check side
Method, which is characterized in that in step 1), predict that current monthly load is total according to the monthly load total amount growth trend of history first
Amount, then with the history same period day scale load be typical moon load, the scores such as interior prediction load total amount will be saved and be assigned to every day, obtained
Then initial load prediction result utilizes time series method, repaired with the practical day scale load rolling in one week before current time
Province's interior prediction load in just latter week, revised province's interior prediction load are superimposed transferring electricity from the west to the east again and send load overseas, and constituting needs
The province's tune load to be balanced.
8. the according to claim 1 or 2 or 3 or 5 or 6 monthly transaction quantity divisions of Hydropower Stations in Large Scale group and check method stated,
It is characterized in that, according to the profile data that power grid day operation mode obtains, being proposed dynamic using daily roll mode in step 3)
State updates section limiting value, when being optimized using objective function 1, if section gets over up or down limit, each water power on section
It stands and strictly decreases or increases power output by equal ratio, required until meeting section limitation, whole process also needs consideration reservoir level to limit,
Generating flow limitation, power station go out the constraint conditions such as power limit.
9. the according to claim 1 or 2 or 3 or 5 or 6 monthly transaction quantity divisions of Hydropower Stations in Large Scale group and check method stated,
It is characterized in that, when being optimized using objective function 2, if section gets over the upper limit, being calculated each on section in step 3)
The objective function in power station, rejecting have abandoning power station, then sort from large to small the target function value of signed, sequence is got over
It is forward to show that power station super generating electricity is more serious, it is preferential to reduce the forward power station power output of deviation, it is therefore an objective to avoid super generating excessive, shadow
The execution for ringing remaining power station trading program, if target value is identical, Deng than being reduced；If section gets over lower limit, rejecting is not free
Not busy capacity or water level have reached the power station of level of dead water, then the target function value of signed sort from small to large, sequence is got over
It is forward to show that power station is bigger from plan electricity gap, it is preferential to increase the forward power station power output of deviation, it is therefore an objective to promote it as early as possible
Transaction electricity is completed, equally, if target value is identical, Deng than increasing.
10. the according to claim 1 or 2 or 3 monthly transaction quantity divisions of Hydropower Stations in Large Scale group and check method stated, feature
It is, in step 1), deducts the plan power output of fire, wind, light three classes power supply.
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