CN107944757A - Electric power interacted system regenerative resource digestion capability analysis and assessment method - Google Patents

Electric power interacted system regenerative resource digestion capability analysis and assessment method Download PDF

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CN107944757A
CN107944757A CN201711339441.4A CN201711339441A CN107944757A CN 107944757 A CN107944757 A CN 107944757A CN 201711339441 A CN201711339441 A CN 201711339441A CN 107944757 A CN107944757 A CN 107944757A
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孙伟卿
李恒
田坤鹏
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University of Shanghai for Science and Technology
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Abstract

The present invention relates to a kind of electric power interacted system regenerative resource digestion capability analysis and assessment method, its step：1）Obtain the relevant parameter and load data of each generating set, 2）Setting dry run cycle T, 3）According to photovoltaic power generation output forecasting curve amendment original loads curve, 4）Calculating each region minimum load of t moment, 5）Compare net load and each region minimum load, determine to support area, area of receiving aid, and by determining receive aid institute's electricity demand desired value and probability of receiving aid based on the Stochastic Production Simulation that available capacity is distributed；6）The region residue available capacity distribution is tried to achieve according to the distribution of area's available capacity is supported, and establishes model of power transmission system and is distributed with obtaining effective transmission line capability, active power is tried to achieve with reference to support region residue available capacity distribution and supports capacity distribution；7）It is distributed in face of area's expected loss of energy of receiving aid by each support area's active power support capacity and determines each area's support amount and each unit generation amount and reliability index, 8）Regenerative resource digestion capability is assessed.

Description

Electric power interacted system regenerative resource digestion capability analysis and assessment method
Technical field
The present invention relates to regenerative resource in a kind of electric power interacted system and the computational methods in network simulation field, and in particular to A kind of electric power interacted system wind electricity digestion capability appraisal procedure based on available capacity distribution.
Background technology
In recent years, rapid growth situation is integrally presented in electric network source scale, and wherein regenerative resource increases and occupies an leading position. But after the randomness of regenerative resource and intermittent feature make it that extensive regenerative resource is grid-connected, system is to spare capacity Demand is significantly increased.The regulating power of many area conventional power units can not meet regenerative resource regulatory demand, this will cause Some areas regenerative resource consumption space reduction, abandons wind and abandons optical issue protrusion.Data are shown, by the end of the year 2016, China's wind 148,640,000 kilowatts of Denso machine, solar power generation are installed 77,420,000 kilowatts, abandon 39,600,000,000 kilowatt hour of wind, abandon 6,900,000,000 kilowatt hour of light.Its In, abandon wind and abandon light and be concentrated mainly on Xinjiang, two provinces and regions of Gansu, Xinjiang, Gansu, which add up to abandon wind-powered electricity generation amount and account for the whole network, always abandons wind-powered electricity generation amount 61%, abandon optical quantum and account for the whole network always abandons optical quantum 80%.Optical issue is abandoned to solve to abandon wind, transregional or even transnational electric power interconnection is Instantly required important energy source strategy.By the transregional electricity power internet of extra-high voltage technique construction, region electricity may advantageously facilitate Power is cross-border to distribute rationally and more reasonably utilizes power resource, helps to make full use of each system reserve capacity, and can be according to not Time difference with regional load peak valley eliminates influence of the regenerative resource output fluctuation to system, and then expands regenerative resource Equilibrium region scope, improves regenerative resource grid-connected consumption scale, reach greatly reduce fossil energy using bring to environment, The negative effect of weather.
One primary condition of electric system even running is the change that system adjustment ability have to be larger than load.Due to The resource characteristics of wind, light, new energy is contributed, and there are randomness and fluctuation.Wind-powered electricity generation daily fluctuation amplitude peak is up to installed capacity 80%, and certain anti-tune peak character is presented.Photovoltaic generation is influenced by day-night change, Changes in weather, mobile cloud layer, is equally deposited In intermittent and fluctuation.After regenerative resource accesses electric system at high proportion, the burden of system adjustment, normal power supplies are added Not only to follow load variations, it is also necessary to which balance new energy goes out fluctuation.Regenerative resource, which is contributed, exceedes system adjustment scope When, it is necessary to control is contributed to ensure system dynamic equilibrium, will be produced and be abandoned wind, abandons optical phenomenon.Regenerative resource dissolve problem with System adjustment ability is closely related.Therefore peak-load regulating ability is one of key factor for influencing wind electricity digestion capability.
In addition, in electric power interacted system, electric network transportation ability equally plays wind electricity digestion capability very important effect. Due to interacted system can utilize each system load characteristic between generating set forced outage dispersiveness and mutually carry For supporting capacity, therefore, each system has the abundant intensity of higher during than isolated operation；Conversely, as kept and not interconnecting phase Same reliability level, the then result interconnected can reduce the spare capacity needed for each system.Interconnection obtain actual benefit with The installed capacity of each system and type, the transmission capacity and forced outage rate of interconnection, the load level of each system, correlation And uncertainty, and it is in case of emergency mutually all related to factors such as the protocol forms supported between system.Therefore, how On the premise of the safe and reliable operation of system, consider influence regenerative resource digestion capability a variety of factors it is particularly important that.
The content of the invention
In view of the above-mentioned problems, the object of the present invention is to provide a kind of assessment of electric power interacted system regenerative resource digestion capability Analysis method, this method can characterize intuitively, exactly each region send point, transmission of electricity situation and it is each when etching system wind electricity digestion Space；Planning stage can be according to criteria evaluation system performance, the weak link of identifying system；Operation phase can determine that interacted system Send by electric power and electricity.
To realize above-mentioned technical purpose, the present invention takes following technical scheme：
1. a kind of electric power interacted system regenerative resource digestion capability analysis and assessment method, comprises the following steps：
1) relevant parameter and load data of each generating set are obtained
Generating set relevant parameter includes type, capacity, the number of units of generating set, also needs the average coal consumption of fired power generating unit Rate, forced outage rate, minimum technology output, climbing rate, required repair time and fuel price；Wind turbines location is gone through History, which is contributed, to be counted；The sunrise force curve of photovoltaic unit location；Load data includes each regional typical day load curve Or yearly load curve；
2) dry run cycle T is set
Dry run cycle T be set to one day 24 it is small when acute assessment, or for 1 year 8760 it is small when long-term evaluation；
3) according to photovoltaic power generation output forecasting curve amendment original loads curve
Wind power output model is established according to wind power output prediction, for solving the distribution of wind-powered electricity generation prediction deviation available capacity；Will Wind power output deviation is divided into multiple states, and statistics obtains the corresponding Probability p of each state, and convolution obtains wind-powered electricity generation available capacity point The prediction curve of cloth；
4) each region minimum load of t moment is calculated
Each region minimum load is tried to achieve according to the output and unit creep speed of last moment；Each area used is calculated first Domain minimum load must open the sum of minimum start output of fired power generating unit for the same day；
5) compare net load and each region minimum load, determine to support area, area of receiving aid, and by being distributed based on available capacity Stochastic Production Simulation determine receive aid institute's electricity demand desired value and probability of receiving aid；
6) region residue available capacity distribution is tried to achieve according to support area's available capacity distribution, and establishes model of power transmission system To obtain effective transmission line capability distribution, active power support capacity distribution is tried to achieve with reference to the distribution of region residue available capacity is supported；
7) capacity distribution is supported by each support area's active power in face of area's expected loss of energy of receiving aid and determines that each area supports Amount and each unit generation amount and reliability index；
8) regenerative resource digestion capability is assessed
Evaluation index includes wind electricity digestion amount in cycle T, abandons wind probability, abandons air quantity and a certain moment wind power is flexible Scope.
Minimum start output G total in each region in the step 4)t minIt can be calculated with following formula：
In formula, G represents total fired power generating unit number；qFOR,kRepresent the outage rate of kth platform unit；Pt LOAD,kRepresent t moment kth The LOADING RATES of platform unit；P't kminRepresent the minimum load of t moment kth platform unit；LOADING RATES and unit minimum load calculation formula It is as follows：
Pt LOAD,k=Pt LOLP,k-1
P't kmin=Pt-1 k-ΔPk,down
In formula, Pt-1 kRepresent the output of kth platform unit last moment；ΔPk,downRepresent the downward climbing of kth platform unit Rate.
If unit is sent outside, then LOADING RATES also needs to consider that circuit can convey probability：
Determine to support area in the step 5), the specific method of receive aid area and desired value needed for receiving aid is：
(1) it is directed to t moment load Lt, the t periods photovoltaic, the wind-powered electricity generation that are obtained by step 3) predict output, light are subtracted with load Volt and wind-powered electricity generation prediction contribute and obtain the net load L of conventional power unitt o：
In formula,Respectively photovoltaic, wind-powered electricity generation prediction are contributed；
(2) by t moment net load compared with fired power generating unit minimum load in step 4), if Lt o＜ GminThe then region Sent outside for electric power and support area；
(3) if Lt o＞ Gmin, then receive aid area for regenerative resource；When external regenerative resource is insufficient for local electricity During missing, local thermoelectricity first participates in convolution, considers further that external thermoelectricity is supported；T moment region expected loss of energy is required Support capacity desired value.
The step 6) is divided into following steps：
(1) area's residue available capacity distributed problem solving is supported
The available capacity distribution function obtained by preceding k unit convolution is represented by Fk(x), in the probability point of available capacity Every bit in Butut represents probability of the power generation capacity less than x provided at the moment, i.e., in face of load Lt, power generation capacity be less than Lt Probability be Fk(Lt), that is, to load L behind the loading of preceding k unittLoad-loss probability Pt LOLP,k；It is smaller in load, it is defeated In the case that electric channel is limited, remaining available capacity describes what is be underutilized after having undertaken local load with unit Unit generation ability；
On the basis of known unit available capacity probability distribution, if each region output L of t momenttWhen corresponding mistake load When probability is less than conventional reliability index, then it represents that the region is enough the local load of reliably supply and is used with remaining available capacity To send outside.So, local load L is reliably supplied in this areatOn the basis of unit residue available capacity be less than or equal to x probability It is represented by conditional probabilityI.e. script available capacity is less than or equal to x+LtProbability：
Wherein x ∈ (0, Cr-Lt), CrFor the sum of installed capacity of all units in region, i.e.,
Consider x=0 and x ＜ Cr-LtSituation, draw conditional probability：
Unit residue available capacity is further obtained to be distributed as：
Wherein, unit residual capacity is distributedIn point represent effecting surplus capacity be more than or equal to x probability, and unit Residual capacity is a non-negative stochastic variable, therefore probability of the unit residue available capacity less than or equal to 0 is 0；
(2) model of power transmission system is established
For different interacted systems, passway for transmitting electricity can be alternating current circuit or DC line；To transnational interacted system length away from Demand of sending outside from, large capacity uses direct current transportation, and DC power transmission line sends probabilistic model outside：
There are three kinds of normal operation, monopole locking and bipolar locking situations in DC operation, for a maximum transmission work( The bipolar DC that rate is, the cumulative distribution function of effective transmission line capability are：
In formula, ql,DAnd ql,SRespectively bipolar emergency shut-down coefficient, monopole emergency shut-down coefficient；WithRespectively direct current Maximum transmission power during bipolar, monopolar operation；
Support area's residue available capacity and capacity distribution function is supported to area's active power of receiving aidRepresent as follows：
Herein, active power supports capacity distribution functionRepresent that available capacity of effectively supporting is more than the general of x Rate.And in formula, Xs、Xr、XlRepresent that active power supports capacity, support area's effecting surplus capacity, DC line and can use transmission of electricity respectively The stochastic variable of capacity；It can further obtain:
Wherein,Represent that active power supports the possible maximum of capacity：
WithRespectively represent t moment support area's effecting surplus capacity maximum and power transmission capacity of pow most Big value.
Each area's support amount and each unit generation amount and reliability index are determined in the step 7)：
Trying to achieve each unit generation amount then needs residue after further studying t moment loading k platform units to use transmission line capability point Cloth：
In formula,For preceding k platforms unit generated energy, that is, t when load k platform units after electric power support amount；
Active power supports capacity distribution after t moment loading k platform units：
To load L behind preceding k platforms unit loadingtLoss of load probability：
Expected loss of energy：
In face of load LtWhen before the total expected production energy of k unit be：
In face of load Lt, the expected production energy of k-th of unit is：
The bound of regenerative resource consumption amount in the step 8)：
(1) regenerative resource consumption amount in cycle T：
In formula,Represent the power generating value of the equivalent multimode unit of k-th of Wind turbines prediction deviation.
(2) regenerative resource abandons wind probability, abandons air quantity in cycle T：
(3) bound of certain moment whole region regenerative resource consumption amount：
The a certain moment whole region institute of whole region is determined in the case of assuming transmission line capability abundance based on thermoelectricity flexibility Maximum, the minimum value of wind-powered electricity generation can be dissolved：
The t moment whole region amount of adjusting：
In formula, Mk(t) it is unit maintenance parameter, is otherwise 0 when t moment unit has repair schedule to be for 1；ΔPk,up tWith ΔPk,down tRepresent respectively when t kth platform unit can flexible modulation power up and down, can be expressed from the next：
In formula, Pk,upAnd Pk,downRespectively kth platform unit climbing rate up and down；Pk,NFor the specified of kth platform unit Power；Pk,minContribute for the minimum technology of kth platform unit；
It is that whole region wind electricity digestion amount scope is that then t moment wind power is flexible：
Due to taking above technical scheme, it has the advantages that the present invention：
The present invention due to using the Stochastic Production Simulation based on available capacity method combination unit climb, the start-stop time and The ability of the factors such as rack characterization electric system consumption wind-powered electricity generation, and consider in the calculating process of wind-powered electricity generation generated output and generated energy To unit forced outage rate, transmission line of electricity outage rate and capacity-constrained and peak-load regulating ability.System it is safe and reliable, warp The wind electricity digestion capability obtained on the premise of Ji operation can characterize electric system intuitively, exactly and disappear closer to reality Receive the ability of wind-powered electricity generation, and then plan and run for regional power grid wind-powered electricity generation and important evidence is provided.
Brief description of the drawings
Fig. 1 is wind power output prediction deviation probability density function schematic diagram；
Fig. 2 is the probability distribution schematic diagram of available capacity；
Fig. 3 is the probability distribution schematic diagram of remaining available capacity；
Fig. 4 is the analysis method flow chart of the electric power interacted system wind electricity digestion capability of the present invention.
Embodiment
The present invention is described in detail below with reference to the accompanying drawings and embodiments.
As shown in figure 4, a kind of electric power interacted system regenerative resource digestion capability analysis and assessment method, including following step Suddenly：
1) relevant parameter and load data of each generating set are obtained.Wherein, generating set relevant parameter includes generator Group type, capacity, number of units, also need the average coa consumption rate, forced outage rate, minimum technology of fired power generating unit to contribute, climbing rate, institute Need repair time and fuel price；The history of Wind turbines location, which is contributed, to be counted；The daily output of photovoltaic unit location Curve.Load data needs the typical day load curve or yearly load curve of each regional (country).
2) dry run cycle T is set, the acute assessment of one day 24h can be set to, or 1 year the long-term of 8760h is commented Estimate.Operation and decision-making of the sequential production simulation to electricity generation system all play an important role, the wherein production simulation of short-term time scale Time is generally a few houres to tens hours, can be provided really for the mode of optimizing the system operation, raising wind-powered electricity generation balanced capacity Scenario simulation, rational generation schedule is provided for traffic department；The production simulated time of long time scale can be several months or number Year, the annual wind-powered electricity generation power balance situation under the conditions of different installation scales, power grid architecture etc. can be simulated, is the operation of wind-powered electricity generation year Mode, industrial development planning and power grid construction planning provide reference frame.
3) according to photovoltaic power generation output forecasting curve amendment original loads curve；Wind power output uses more shapes based on wind-powered electricity generation prediction States model.Wind power output deviation is divided into n state, statistics obtains the corresponding Probability p of each state, and convolution, which obtains wind-powered electricity generation, to be had Imitate capacity distribution.
4) t moment system minimum load is calculated.The system minimum load is different from fired power generating unit minimum technology output, needs root Tried to achieve according to the output and unit creep speed of last moment.It is the motor that must open fire on the same day to calculate system minimum load used first The sum of group minimum technology output.
5) compare net load and system minimum load, determine to support area, area of receiving aid.And by being distributed based on available capacity Stochastic Production Simulation determines receive aid institute's electricity demand desired value and probability of receiving aid.
6) region residue available capacity distribution is tried to achieve according to support area's available capacity distribution, and establishes model of power transmission system To obtain effective transmission line capability distribution, active power support capacity distribution is tried to achieve with reference to the distribution of region residue available capacity is supported.
7) capacity distribution is supported by each support area's active power in face of area's expected loss of energy of receiving aid and determines that each area supports Amount and each unit generation amount and reliability index.
8) regenerative resource digestion capability is assessed.Evaluation index includes wind electricity digestion amount in cycle T, to abandon wind general Rate, abandon air quantity and certain t moment wind power flexibility scope.
Due to photovoltaic, compared with wind-powered electricity generation, it is contributed with respect to rule in the step 3), so wind-powered electricity generation prediction deviation is only considered herein, Photovoltaic prediction is contributed to be deducted directly as load in load curve.By actual wind power outputRepresent as follows：
In formula,To predict wind-powered electricity generation value；For wind-powered electricity generation prediction deviation, the deviation be obey average be 0, variance be's The stochastic variable of normal distribution, according to correlative study, which is calculated by following formula：
In formula, CWIFor wind power plant total installation of generating capacity.
, will herein using prediction deviation as generator processingAs generating set.Due to its output be an obedience just The stochastic variable of state distribution, can do following discrete approximation processing, become multimode unit, be incorporated into production simulation immediately In convolutional calculation.
As shown in Figure 1Probability density function, it is continuous type function, for convenience calculate, can by the function draw It is divided into limited a section, and it is approximate as the desired value in the section, interval probability density integral functional value by the use of certain point value in section Equal to the probability of the section desired value.
The section number divided is more, and approximation is better, but calculation amount is bigger.7 sections, such as Fig. 1 are divided at this Shown, the multiple of the digital representation standard deviation of abscissa, each siding-to-siding block length is equal to 1 standard deviation.The probability density product in section Score value is from left to right calculated by following formula：
In formula,
After discrete processes, wind-powered electricity generation prediction deviation has 7 specific power generating values, and it is each contribute have it is corresponding general Rate, it can thus be assumed that unit of the deviation for 7 states, corresponding probability is equivalent to forced outage rate, so as to be incorporated into immediately In the convolutional calculation for producing simulation.The wind power plant at t-th of moment predicts that output deviation and its corresponding probability are：
qwt={ pc1,pc2,…,pc7}
Under normal circumstances only comprising stopping transport and running two states in fired power generating unit model, the method is in conventional electric power generation unit Reliability modeling in be feasible because the drop volume operating status time of conventional electric power generation unit is shorter, can ignore substantially.
In formula：CiFor the installed capacity of unit i, MW；qFOR,iFor the forced outage rate of unit i.
Similarly, the capacity probability distribution of wind-powered electricity generation prediction deviation equivalent unit can be obtained by prediction wind power output：
The distribution of wind power plant available capacity is expressed as：
Based on available capacity distribution can each generating set of computing system it is expected generated energy and reliability index, including system Load-loss probability (loss of load probability, LOLP) and expected loss of energy (energy expectation Not served, EENS).Wherein, load-loss probability will be used for follow-up computing system minimum load as unit LOADING RATES.
Minimum start output G total in district system in the step 4)t minIt can be calculated with following formula：
In formula, G represents total fired power generating unit number；qFOR,kRepresent the outage rate of kth platform unit；Pt LOAD,kRepresent t moment kth The LOADING RATES of platform unit；P't kminRepresent the minimum load of t moment kth platform unit.LOADING RATES and unit minimum load calculation formula It is as follows：
Pt LOAD,k=Pt LOLP,k-1
P't kmin=Pt-1 k-ΔPk,down
In formula, Pt-1 kRepresent the output of kth platform unit last moment；ΔPk,downRepresent the downward climbing of kth platform unit Rate.
If unit is sent outside, then LOADING RATES also needs to consider that circuit can convey probability：
Determine to support area in the step 5), the specific method of receive aid area and desired value needed for receiving aid is：
Step 5.1：For t moment load Lt, the t periods photovoltaic, the wind-powered electricity generation that are obtained by step 3) are predicted output, are subtracted with load Photovoltaic and wind-powered electricity generation is gone to predict to contribute and obtain the net load of conventional power unit：
In formula,Respectively photovoltaic, wind-powered electricity generation prediction are contributed.
Step 5.2：By t moment net load compared with fired power generating unit minimum load in step 4), if Lt o＜ GminThen should Sent outside for electric power and support area in region.
Step 5.3：If Lt o＞ Gmin, then receive aid area for regenerative resource.When external regenerative resource is insufficient for local When electricity lacks, local thermoelectricity first participates in convolution, considers further that external thermoelectricity is supported.T moment region expected loss of energy is Required support capacity desired value.
The step 6) is divided into following several steps：
Step 6.1：Support area's residue available capacity distributed problem solving
The available capacity distribution function obtained by preceding k unit convolution is represented by Fk(x), it is general such as Fig. 2 available capacities Shown in rate distribution map, every bit represents that the power generation capacity of moment offer is less than the probability of x in figure, i.e., in face of load Lt, power generation Capacity is less than LtProbability be Fk(Lt), that is, to load L behind the loading of preceding k unittLoad-loss probability Pt LOLP,k.But Load is smaller, and in the case that passway for transmitting electricity is limited, unit still has certain generating capacity after having undertaken local load, at this time may be used The unit generation ability being underutilized is described with unit residue available capacity.
On the basis of known unit available capacity probability distribution, if t moment system output LtWhen it is corresponding mistake load it is general When rate is much smaller than conventional reliability index, then it represents that the region is enough the local load of reliably supply and is used with remaining available capacity To send outside.So, local load L is reliably supplied in this areatOn the basis of unit residue available capacity be less than or equal to x probability It is represented by conditional probabilityI.e. script available capacity is less than or equal to x+LtProbability：
As shown in Figure 3.Wherein x ∈ (0, Cr-Lt), CrFor the sum of installed capacity of all units in region, i.e.,
Consider x=0 and x ＜ Cr-LtSituation, draw conditional probability：
Unit residue available capacity is further obtained to be distributed as：
Wherein, unit residual capacity is distributedIn point represent effecting surplus capacity be more than or equal to x probability, and unit Residual capacity is a non-negative stochastic variable, therefore probability of the unit residue available capacity less than or equal to 0 is 0.
Step 6.2：Model of power transmission system is established
For different interacted systems, passway for transmitting electricity may be alternating current circuit or DC line, and direct current transportation relatively exchanges defeated The advantages of electric, is：
1. convey equal-wattage, DC line low cost.Transmission line of alternation current needs three conducting wires, and DC line only needs One (monopole) or two (bipolar)；
2. DC line active loss is small；
3. direct current transportation limits from transmission distance.Because DC line does not have reactance, there is no stability problem.
4. direct current transportation governing speed is fast, reliable.Adjusting that can be easily and fast by thyristor converter device is active Power.During using bipolar line, when a pole failure, it is another extremely can the earth or water be used as circuit, continue the power of conveying half, Improve reliability of operation.
Therefore use direct current transportation relatively inexpensive transnational interacted system long range, the demand of sending outside of large capacity.It is controlled Flexibly, the characteristics of adjustment capability is strong will be greatly promoted new energy and be dissolved in the range of greater room.DC power transmission line is sent outside Probabilistic model：
There are three kinds of normal operation, monopole locking and bipolar locking situations in DC operation.For a maximum transmission work( The bipolar DC that rate is, the cumulative distribution function of effective transmission line capability are：
In formula, ql,DAnd ql,SRespectively bipolar emergency shut-down coefficient, monopole emergency shut-down coefficient；WithRespectively direct current Maximum transmission power during bipolar, monopolar operation.
Actual capacity of supporting depends on two aspects：One is supporting area possesses effecting surplus capacity, the second is transmission line of electricity Possess the ability for conveying these residual capacities enough, enable effecting surplus electric power with certain probability by line transmission to receiving aid Region.Therefore support area's residue available capacity and capacity distribution function is supported to area's active power of receiving aidRepresent as follows：
Herein, active power supports capacity distribution functionRepresent that available capacity of effectively supporting is more than the general of x Rate.And in formula, Xs、Xr、XlRepresent that active power supports capacity, support area's effecting surplus capacity, DC line and can use transmission of electricity respectively The stochastic variable of capacity.It can further obtain:
Wherein,
Cs=min (Cr,max,Cl,max)
Cr,maxAnd Cl,maxRepresent to support the maximum of area's effecting surplus capacity and the maximum of power transmission capacity of pow respectively.
The step 7) is definite each by supporting the support capacity distribution of area's active power in face of area's expected loss of energy of receiving aid Area's support amount and each unit generation amount and reliability index.
Trying to achieve each unit generation amount then needs residue after further studying t moment loading k platform units to use transmission line capability point Cloth：
In formula,For preceding k platforms unit generated energy, that is, t when load k platform units after electric power support amount.
Active power supports capacity distribution after t moment loading k platform units：
To load L behind preceding k unit loadingtLoss of load probability：
Expected loss of energy：
In face of load LtWhen before the total expected production energy of k unit be：
In face of load Lt, the expected production energy of k-th of unit is：
Regenerative resource digestion capability, which carries out evaluation index, in the step 8) includes regenerative resource consumption in cycle T Measure, abandon wind probability, abandoning air quantity and the bound of certain moment whole system regenerative resource consumption amount：
1. regenerative resource consumption amount in cycle T：
In formula,Represent the power generating value of the equivalent multimode unit of k-th of Wind turbines prediction deviation.
2. regenerative resource abandons wind probability, abandons air quantity in cycle T：
3. the bound of certain moment whole system regenerative resource consumption amount：
Electric system flexibility concept is introduced, studies the bound that a certain section system allows wind-powered electricity generation to fluctuate.Based on thermoelectricity Flexibility is assumed to determine that etching system can dissolve the maximum of wind-powered electricity generation, minimum value when system is a certain in the case of transmission line capability abundance.
T moment system adjustable section amount：
In formula, Mk(t) it is unit maintenance parameter, is otherwise 0 when t moment unit has repair schedule to be for 1；ΔPk,up tWith ΔPk,down tRepresent respectively when t kth platform unit can flexible modulation power up and down, can be expressed from the next：
In formula, Pk,upAnd Pk,downRespectively kth platform unit climbing rate up and down；Pk,NFor the specified of kth platform unit Power；Pk,minContribute for the minimum technology of kth platform unit.
It is that system wind electricity digestion amount scope is that then t moment wind power is flexible：

Claims (6)

  1. A kind of 1. electric power interacted system regenerative resource digestion capability analysis and assessment method, it is characterised in that comprise the following steps：
    1) relevant parameter and load data of each generating set are obtained
    Generating set relevant parameter includes type, capacity, the number of units of generating set, also needs the average coa consumption rate, strong of fired power generating unit Compel outage rate, minimum technology output, climbing rate, required repair time and fuel price；The history of Wind turbines location goes out Power counts；The sunrise force curve of photovoltaic unit location；Load data includes each regional typical day load curve or year Load curve；
    2) dry run cycle T is set
    Dry run cycle T be set to one day 24 it is small when acute assessment, or for 1 year 8760 it is small when long-term evaluation；
    3) according to photovoltaic power generation output forecasting curve amendment original loads curve
    Wind power output model is established according to wind power output prediction, for solving the distribution of wind-powered electricity generation prediction deviation available capacity；By wind-powered electricity generation Output deviation is divided into multiple states, and statistics obtains the corresponding Probability p of each state, and convolution obtains the distribution of wind-powered electricity generation available capacity Prediction curve；
    4) each region minimum load of t moment is calculated
    Each region minimum load is tried to achieve according to the output and unit creep speed of last moment；Each region used is calculated first most Small contribute must open the sum of minimum start output of fired power generating unit for the same day；
    5) compare net load and each region minimum load, determine support area, area of receiving aid, and by based on available capacity be distributed with Machine production simulation determines receive aid institute's electricity demand desired value and probability of receiving aid；
    6) region residue available capacity distribution is tried to achieve according to support area's available capacity distribution, and establishes model of power transmission system to obtain It is distributed to effective transmission line capability, active power support capacity distribution is tried to achieve with reference to the distribution of region residue available capacity is supported；
    7) in face of receive aid area's expected loss of energy by it is each support area's active power support capacity distribution determine each area's support amount and Each unit generation amount and reliability index；
    8) regenerative resource digestion capability is assessed
    Evaluation index includes wind electricity digestion amount in cycle T, abandons wind probability, abandons air quantity and a certain moment wind power flexibility model Enclose.
  2. 2. electric power interacted system regenerative resource digestion capability analysis and assessment method according to claim 1, its feature exist In：Minimum start output G total in each region in the step 4)t minIt can be calculated with following formula：
    <mrow> <msub> <msup> <mi>G</mi> <mi>t</mi> </msup> <mi>min</mi> </msub> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>G</mi> </munderover> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <msub> <mi>q</mi> <mrow> <mi>F</mi> <mi>O</mi> <mi>R</mi> <mo>,</mo> <mi>k</mi> </mrow> </msub> <mo>)</mo> </mrow> <msub> <msup> <mi>P</mi> <mi>t</mi> </msup> <mrow> <mi>L</mi> <mi>O</mi> <mi>A</mi> <mi>D</mi> <mo>,</mo> <mi>k</mi> </mrow> </msub> <msub> <msup> <mi>P</mi> <mrow> <mo>&amp;prime;</mo> <mi>t</mi> </mrow> </msup> <mrow> <mi>k</mi> <mi>min</mi> </mrow> </msub> </mrow>
    In formula, G represents total fired power generating unit number；qFOR,kRepresent the outage rate of kth platform unit；Pt LOAD,kRepresent t moment kth platform machine The LOADING RATES of group；P't kminRepresent the minimum load of t moment kth platform unit；LOADING RATES and unit minimum load calculation formula are such as Under：
    Pt LOAD,k=Pt LOLP,k-1
    P't kmin=Pt-1 k-ΔPk,down
    In formula, Pt-1 kRepresent the output of kth platform unit last moment；ΔPk,downRepresent the downward climbing rate of kth platform unit.
    If unit is sent outside, then LOADING RATES also needs to consider that circuit can convey probability：
    <mrow> <msub> <msup> <mi>P</mi> <mi>t</mi> </msup> <mrow> <mi>LOAD</mi> <mo>,</mo> <mi>k</mi> </mrow> </msub> <mo>=</mo> <msub> <msup> <mi>P</mi> <mi>t</mi> </msup> <mrow> <mi>LOLP</mi> <mo>,</mo> <mi>k</mi> <mo>-</mo> <mn>1</mn> </mrow> </msub> <msubsup> <mi>P</mi> <mrow> <mi>l</mi> <mo>-</mo> <mi>r</mi> <mo>,</mo> <mi>k</mi> </mrow> <mi>t</mi> </msubsup> <mrow> <mo>(</mo> <msup> <mi>L</mi> <mi>t</mi> </msup> <mo>)</mo> </mrow> <mo>.</mo> </mrow>
  3. 3. electric power interacted system regenerative resource digestion capability analysis and assessment method according to claim 2, its feature exist In：Determine to support area in the step 5), the specific method of receive aid area and desired value needed for receiving aid is：
    (1) it is directed to t moment load Lt, the t periods photovoltaic, the wind-powered electricity generation that are obtained by step 3) predict output, photovoltaic and wind are subtracted with load Electricity prediction, which is contributed, obtains the net load L of conventional power unitt o：
    <mrow> <msub> <msup> <mi>L</mi> <mi>t</mi> </msup> <mi>o</mi> </msub> <mo>=</mo> <msup> <mi>L</mi> <mi>t</mi> </msup> <mo>-</mo> <msubsup> <mi>P</mi> <mi>p</mi> <mi>t</mi> </msubsup> <mo>-</mo> <msubsup> <mi>P</mi> <mi>f</mi> <mi>t</mi> </msubsup> </mrow>
    In formula,Respectively photovoltaic, wind-powered electricity generation prediction are contributed；
    (2) by t moment net load compared with fired power generating unit minimum load in step 4), if Lt o＜ GminThen the region is electricity Power, which is sent outside, supports area；
    (3) if Lt o＞ Gmin, then receive aid area for regenerative resource；When external regenerative resource is insufficient for local electricity missing When, local thermoelectricity first participates in convolution, considers further that external thermoelectricity is supported；T moment region expected loss of energy is supported needed for being Capacity desired value.
  4. 4. electric power interacted system regenerative resource digestion capability analysis and assessment method according to claim 1, its feature exist In：The step 6) is divided into following steps：
    (1) area's residue available capacity distributed problem solving is supported
    The available capacity distribution function obtained by preceding k unit convolution is represented by Fk(x), in the probability distribution graph of available capacity In every bit represent the moment provide power generation capacity be less than x probability, i.e., in face of load Lt, power generation capacity be less than LtIt is general Rate is Fk(Lt), that is, to load L behind the loading of preceding k unittLoad-loss probability Pt LOLP,k；Smaller in load, transmission of electricity is logical In the case that road is limited, remaining available capacity describes the unit being underutilized after having undertaken local load with unit Generating capacity；
    On the basis of known unit available capacity probability distribution, if each region output L of t momenttWhen corresponding load-loss probability it is small When conventional reliability index, then it represents that beyond the region is enough the local load of reliably supply and is used with remaining available capacity Send.So, local load L is reliably supplied in this areatOn the basis of unit residue available capacity can table less than or equal to the probability of x It is shown as conditional probabilityI.e. script available capacity is less than or equal to x+LtProbability：
    Pr t(x|Lt)=Fk(x+Lt)
    Wherein x ∈ (0, Cr-Lt), CrFor the sum of installed capacity of all units in region, i.e.,
    <mrow> <msub> <mi>C</mi> <mi>r</mi> </msub> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </munderover> <msub> <mi>C</mi> <mi>i</mi> </msub> </mrow>
    Consider x=0 and x ＜ Cr-LtSituation, draw conditional probability：
    <mrow> <msubsup> <mi>P</mi> <mi>r</mi> <mi>t</mi> </msubsup> <mrow> <mo>(</mo> <mi>x</mi> <mo>|</mo> <msup> <mi>L</mi> <mi>t</mi> </msup> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <mn>0</mn> <mo>,</mo> <mi>x</mi> <mo>&amp;le;</mo> <mn>0</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>F</mi> <mi>k</mi> </msub> <mrow> <mo>(</mo> <mi>x</mi> <mo>+</mo> <msup> <mi>L</mi> <mi>t</mi> </msup> <mo>)</mo> </mrow> <mo>,</mo> <mn>0</mn> <mo>&lt;</mo> <mi>x</mi> <mo>&amp;le;</mo> <msubsup> <mi>C</mi> <mi>r</mi> <mi>t</mi> </msubsup> <mo>-</mo> <msup> <mi>L</mi> <mi>t</mi> </msup> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>1</mn> <mo>,</mo> <mi>x</mi> <mo>&gt;</mo> <msubsup> <mi>C</mi> <mi>r</mi> <mi>t</mi> </msubsup> <mo>-</mo> <msup> <mi>L</mi> <mi>t</mi> </msup> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow>
    Unit residue available capacity is further obtained to be distributed as：
    <mrow> <msubsup> <mi>P</mi> <mi>r</mi> <mi>t</mi> </msubsup> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>=</mo> <mn>1</mn> <mo>-</mo> <msubsup> <mi>P</mi> <mi>r</mi> <mi>t</mi> </msubsup> <mrow> <mo>(</mo> <mi>x</mi> <mo>|</mo> <msup> <mi>L</mi> <mi>t</mi> </msup> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <mn>1</mn> <mo>,</mo> <mi>x</mi> <mo>&amp;le;</mo> <mn>0</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>1</mn> <mo>-</mo> <msub> <mi>F</mi> <mi>k</mi> </msub> <mrow> <mo>(</mo> <mi>x</mi> <mo>+</mo> <msup> <mi>L</mi> <mi>t</mi> </msup> <mo>)</mo> </mrow> <mo>,</mo> <mn>0</mn> <mo>&lt;</mo> <mi>x</mi> <mo>&amp;le;</mo> <msubsup> <mi>C</mi> <mi>r</mi> <mi>t</mi> </msubsup> <mo>-</mo> <msup> <mi>L</mi> <mi>t</mi> </msup> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>0</mn> <mo>,</mo> <mi>x</mi> <mo>&gt;</mo> <msubsup> <mi>C</mi> <mi>r</mi> <mi>t</mi> </msubsup> <mo>-</mo> <msup> <mi>L</mi> <mi>t</mi> </msup> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow>
    Wherein, unit residual capacity distribution Pr t(x) point in represents that effecting surplus capacity is more than or equal to x probability, and unit is remaining Capacity is a non-negative stochastic variable, therefore probability of the unit residue available capacity less than or equal to 0 is 0；
    (2) model of power transmission system is established
    For different interacted systems, passway for transmitting electricity can be alternating current circuit or DC line；To transnational interacted system over long distances, greatly The demand of sending outside of capacity uses direct current transportation, and DC power transmission line sends probabilistic model outside：
    There are three kinds of normal operation, monopole locking and bipolar locking situations in DC operation, it is for a maximum transmission power Bipolar DC, the cumulative distribution function of effective transmission line capability is：
    <mrow> <msubsup> <mi>P</mi> <mi>l</mi> <mi>t</mi> </msubsup> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <mn>1</mn> <mo>,</mo> <mi>x</mi> <mo>&amp;le;</mo> <mn>0</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>1</mn> <mo>-</mo> <msub> <mi>q</mi> <mrow> <mi>l</mi> <mo>,</mo> <mi>D</mi> </mrow> </msub> <mo>,</mo> <mn>0</mn> <mo>&lt;</mo> <mi>x</mi> <mo>&amp;le;</mo> <msubsup> <mi>C</mi> <mrow> <mi>l</mi> <mo>,</mo> <mi>S</mi> </mrow> <mi>t</mi> </msubsup> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>1</mn> <mo>-</mo> <msub> <mi>q</mi> <mrow> <mi>l</mi> <mo>,</mo> <mi>D</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>q</mi> <mrow> <mi>n</mi> <mo>,</mo> <mi>S</mi> </mrow> </msub> <mo>,</mo> <msubsup> <mi>C</mi> <mrow> <mi>l</mi> <mo>,</mo> <mi>S</mi> </mrow> <mi>t</mi> </msubsup> <mo>&lt;</mo> <mi>x</mi> <mo>&amp;le;</mo> <msubsup> <mi>C</mi> <mrow> <mi>l</mi> <mo>,</mo> <mi>D</mi> </mrow> <mi>t</mi> </msubsup> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>0</mn> <mo>,</mo> <mi>x</mi> <mo>&gt;</mo> <msubsup> <mi>C</mi> <mrow> <mi>l</mi> <mo>,</mo> <mi>D</mi> </mrow> <mi>t</mi> </msubsup> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow>
    In formula, ql,DAnd ql,SRespectively bipolar emergency shut-down coefficient, monopole emergency shut-down coefficient；WithRespectively DC bipolar, Maximum transmission power during monopolar operation；
    Support area's residue available capacity and capacity distribution function P is supported to area's active power of receiving aidsT (x) represents as follows：
    Ps t(x)=P { Xs>=x }=P { min (Xr,Xl)≥x}
    Herein, active power supports capacity distribution function PsT (x) represents available and effectively supports the probability that capacity is more than x.And In formula, Xs、Xr、XlRepresent that active power supports capacity, support area's effecting surplus capacity, DC line and can use transmission line capability respectively Stochastic variable；It can further obtain:
    <mrow> <msubsup> <mi>P</mi> <mi>s</mi> <mi>t</mi> </msubsup> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <mn>1</mn> <mo>,</mo> <mi>x</mi> <mo>&amp;le;</mo> <mn>0</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msubsup> <mi>P</mi> <mi>r</mi> <mi>t</mi> </msubsup> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <msubsup> <mi>P</mi> <mi>l</mi> <mrow> <mi>t</mi> <mo>-</mo> <mn>1</mn> </mrow> </msubsup> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>,</mo> <mn>0</mn> <mo>&lt;</mo> <mi>x</mi> <mo>&lt;</mo> <msubsup> <mi>C</mi> <mi>s</mi> <mi>t</mi> </msubsup> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>0</mn> <mo>,</mo> <mi>x</mi> <mo>&gt;</mo> <msubsup> <mi>C</mi> <mi>s</mi> <mi>t</mi> </msubsup> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow>
    Wherein,Represent that active power supports the possible maximum of capacity：
    <mrow> <msubsup> <mi>C</mi> <mi>s</mi> <mi>t</mi> </msubsup> <mo>=</mo> <mi>m</mi> <mi>i</mi> <mi>n</mi> <mrow> <mo>(</mo> <msubsup> <mi>C</mi> <mrow> <mi>r</mi> <mo>,</mo> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> <mi>t</mi> </msubsup> <mo>,</mo> <msubsup> <mi>C</mi> <mrow> <mi>l</mi> <mo>,</mo> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> <mi>t</mi> </msubsup> <mo>)</mo> </mrow> </mrow>
    WithRepresent that t moment supports the maximum of area's effecting surplus capacity and the maximum of power transmission capacity of pow respectively.
  5. 5. electric power interacted system regenerative resource digestion capability analysis and assessment method according to claim 1, its feature exist In：Each area's support amount and each unit generation amount and reliability index are determined in the step 7)：
    Trying to achieve each unit generation amount then needs residue after further studying t moment loading k platform units to be distributed with transmission line capability：
    <mrow> <msubsup> <mi>P</mi> <mrow> <mi>l</mi> <mo>-</mo> <mi>r</mi> <mo>,</mo> <mi>k</mi> </mrow> <mi>t</mi> </msubsup> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <mn>1</mn> <mo>,</mo> <mi>x</mi> <mo>&amp;le;</mo> <mn>0</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>1</mn> <mo>-</mo> <msub> <mi>q</mi> <mrow> <mi>l</mi> <mo>,</mo> <mi>D</mi> </mrow> </msub> <mo>,</mo> <mn>0</mn> <mo>&lt;</mo> <mi>x</mi> <mo>&amp;le;</mo> <msubsup> <mi>C</mi> <mrow> <mi>l</mi> <mo>,</mo> <mi>S</mi> </mrow> <mi>t</mi> </msubsup> <mo>-</mo> <msubsup> <mi>E</mi> <mi>k</mi> <mi>t</mi> </msubsup> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>1</mn> <mo>-</mo> <msub> <mi>q</mi> <mrow> <mi>l</mi> <mo>,</mo> <mi>D</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>q</mi> <mrow> <mi>n</mi> <mo>,</mo> <mi>S</mi> </mrow> </msub> <mo>,</mo> <msubsup> <mi>C</mi> <mrow> <mi>l</mi> <mo>,</mo> <mi>S</mi> </mrow> <mi>t</mi> </msubsup> <mo>-</mo> <msubsup> <mi>E</mi> <mi>k</mi> <mi>t</mi> </msubsup> <mo>&lt;</mo> <mi>x</mi> <mo>&amp;le;</mo> <msubsup> <mi>C</mi> <mrow> <mi>l</mi> <mo>,</mo> <mi>D</mi> </mrow> <mi>t</mi> </msubsup> <mo>-</mo> <msubsup> <mi>E</mi> <mi>k</mi> <mi>t</mi> </msubsup> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>0</mn> <mo>,</mo> <mi>x</mi> <mo>&gt;</mo> <msubsup> <mi>C</mi> <mrow> <mi>l</mi> <mo>,</mo> <mi>D</mi> </mrow> <mi>t</mi> </msubsup> <mo>-</mo> <msubsup> <mi>E</mi> <mi>k</mi> <mi>t</mi> </msubsup> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow>
    In formula,For preceding k platforms unit generated energy, that is, t when load k platform units after electric power support amount；
    Active power supports capacity distribution after t moment loading k platform units：
    <mrow> <msubsup> <mi>P</mi> <mrow> <mi>s</mi> <mo>,</mo> <mi>k</mi> </mrow> <mi>t</mi> </msubsup> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <mn>1</mn> <mo>,</mo> <mi>x</mi> <mo>&amp;le;</mo> <mn>0</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msubsup> <mi>P</mi> <mi>r</mi> <mi>t</mi> </msubsup> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <msubsup> <mi>P</mi> <mrow> <mi>l</mi> <mo>-</mo> <mi>r</mi> <mo>,</mo> <mi>k</mi> <mo>-</mo> <mn>1</mn> </mrow> <mi>t</mi> </msubsup> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>,</mo> <mn>0</mn> <mo>&lt;</mo> <mi>x</mi> <mo>&lt;</mo> <msub> <mi>C</mi> <mi>s</mi> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>0</mn> <mo>,</mo> <mi>x</mi> <mo>&gt;</mo> <msub> <mi>C</mi> <mi>s</mi> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow>
    To load L behind preceding k platforms unit loadingtLoss of load probability：
    <mrow> <msubsup> <mi>P</mi> <mrow> <mi>L</mi> <mi>O</mi> <mi>L</mi> <mi>P</mi> <mo>,</mo> <mi>k</mi> </mrow> <mi>t</mi> </msubsup> <mo>=</mo> <msubsup> <mi>P</mi> <mrow> <mi>s</mi> <mo>,</mo> <mi>k</mi> </mrow> <mi>t</mi> </msubsup> <mrow> <mo>(</mo> <msup> <mi>L</mi> <mi>t</mi> </msup> <mo>)</mo> </mrow> </mrow>
    Expected loss of energy：
    <mrow> <msubsup> <mi>E</mi> <mrow> <mi>E</mi> <mi>E</mi> <mi>N</mi> <mi>S</mi> <mo>,</mo> <mi>k</mi> </mrow> <mi>t</mi> </msubsup> <mo>=</mo> <msubsup> <mo>&amp;Integral;</mo> <mn>0</mn> <msup> <mi>L</mi> <mi>t</mi> </msup> </msubsup> <msubsup> <mi>P</mi> <mrow> <mi>s</mi> <mo>,</mo> <mi>k</mi> </mrow> <mi>t</mi> </msubsup> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mi>d</mi> <mi>x</mi> </mrow>
    In face of load LtWhen before the total expected production energy of k unit be：
    <mrow> <msubsup> <mi>E</mi> <mi>k</mi> <mi>t</mi> </msubsup> <mo>=</mo> <msubsup> <mo>&amp;Integral;</mo> <mn>0</mn> <msup> <mi>L</mi> <mi>t</mi> </msup> </msubsup> <mo>&amp;lsqb;</mo> <mn>1</mn> <mo>-</mo> <msubsup> <mi>P</mi> <mrow> <mi>s</mi> <mo>,</mo> <mi>k</mi> </mrow> <mi>t</mi> </msubsup> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>&amp;rsqb;</mo> <mi>d</mi> <mi>x</mi> </mrow>
    In face of load Lt, the expected production energy of k-th of unit is：
    <mrow> <msubsup> <mi>E</mi> <mrow> <mi>G</mi> <mo>,</mo> <mi>k</mi> </mrow> <mi>t</mi> </msubsup> <mo>=</mo> <msubsup> <mi>E</mi> <mi>k</mi> <mi>t</mi> </msubsup> <mo>-</mo> <msubsup> <mi>E</mi> <mrow> <mi>k</mi> <mo>-</mo> <mn>1</mn> </mrow> <mi>t</mi> </msubsup> <mo>=</mo> <msubsup> <mo>&amp;Integral;</mo> <mn>0</mn> <msup> <mi>L</mi> <mi>t</mi> </msup> </msubsup> <mrow> <mo>&amp;lsqb;</mo> <mrow> <msubsup> <mi>P</mi> <mrow> <mi>s</mi> <mo>,</mo> <mi>k</mi> </mrow> <mi>t</mi> </msubsup> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>-</mo> <msubsup> <mi>P</mi> <mrow> <mi>s</mi> <mo>,</mo> <mi>k</mi> <mo>-</mo> <mn>1</mn> </mrow> <mi>t</mi> </msubsup> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> <mo>&amp;rsqb;</mo> </mrow> <mi>d</mi> <mi>x</mi> <mo>.</mo> </mrow>
  6. 6. electric power interacted system regenerative resource digestion capability analysis and assessment method according to claim 1, its feature exist In：The bound of regenerative resource consumption amount in the step 8)：
    (1) regenerative resource consumption amount in cycle T：
    <mrow> <msub> <mi>E</mi> <mrow> <mi>c</mi> <mi>o</mi> <mi>n</mi> </mrow> </msub> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>t</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>T</mi> </munderover> <mrow> <mo>(</mo> <msubsup> <mi>P</mi> <mi>p</mi> <mi>t</mi> </msubsup> <mo>+</mo> <msubsup> <mi>P</mi> <mi>f</mi> <mi>t</mi> </msubsup> <mo>+</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </munderover> <msubsup> <mi>E</mi> <mrow> <mi>w</mi> <mo>,</mo> <mi>k</mi> </mrow> <mi>t</mi> </msubsup> <mo>)</mo> </mrow> </mrow>
    In formula,Represent the power generating value of the equivalent multimode unit of k-th of Wind turbines prediction deviation.
    (2) regenerative resource abandons wind probability, abandons air quantity in cycle T：
    <mrow> <msub> <mi>P</mi> <mrow> <mi>W</mi> <mi>A</mi> <mi>P</mi> </mrow> </msub> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>t</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>T</mi> </munderover> <msubsup> <mi>P</mi> <mrow> <mi>W</mi> <mi>A</mi> <mi>P</mi> </mrow> <mi>t</mi> </msubsup> <mo>=</mo> <mfrac> <mn>1</mn> <mi>T</mi> </mfrac> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>t</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>T</mi> </munderover> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <msub> <mi>F</mi> <mrow> <mi>w</mi> <mi>t</mi> </mrow> </msub> <mo>(</mo> <mrow> <msup> <mi>L</mi> <mi>t</mi> </msup> <mo>-</mo> <msubsup> <mi>G</mi> <mi>min</mi> <mi>t</mi> </msubsup> </mrow> <mo>)</mo> <mo>)</mo> </mrow> </mrow>
    <mrow> <msub> <mi>E</mi> <mrow> <mi>W</mi> <mi>A</mi> <mi>P</mi> </mrow> </msub> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>t</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>T</mi> </munderover> <msubsup> <mi>E</mi> <mrow> <mi>W</mi> <mi>A</mi> <mi>P</mi> </mrow> <mi>t</mi> </msubsup> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>t</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>T</mi> </munderover> <msubsup> <mo>&amp;Integral;</mo> <mrow> <msup> <mi>L</mi> <mi>t</mi> </msup> <mo>-</mo> <msubsup> <mi>G</mi> <mi>min</mi> <mi>t</mi> </msubsup> </mrow> <mi>&amp;infin;</mi> </msubsup> <mo>&amp;lsqb;</mo> <mn>1</mn> <mo>-</mo> <msub> <mi>F</mi> <mrow> <mi>w</mi> <mi>t</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>&amp;rsqb;</mo> <mi>d</mi> <mi>x</mi> </mrow>
    (3) bound of certain moment whole region regenerative resource consumption amount：
    Determine that a certain moment whole region of whole region can disappear in the case of assuming transmission line capability abundance based on thermoelectricity flexibility Receive maximum, the minimum value of wind-powered electricity generation：
    The t moment whole region amount of adjusting：
    <mrow> <msubsup> <mi>P</mi> <mrow> <mi>f</mi> <mo>,</mo> <mi>u</mi> <mi>p</mi> </mrow> <mi>t</mi> </msubsup> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>G</mi> </munderover> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <msub> <mi>M</mi> <mi>k</mi> </msub> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>)</mo> </mrow> <msup> <msub> <mi>&amp;Delta;P</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>u</mi> <mi>p</mi> </mrow> </msub> <mi>t</mi> </msup> </mrow>
    <mrow> <msubsup> <mi>P</mi> <mrow> <mi>f</mi> <mo>,</mo> <mi>d</mi> <mi>o</mi> <mi>w</mi> <mi>n</mi> </mrow> <mi>t</mi> </msubsup> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>G</mi> </munderover> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <msub> <mi>M</mi> <mi>k</mi> </msub> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>)</mo> </mrow> <msup> <msub> <mi>&amp;Delta;P</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>d</mi> <mi>o</mi> <mi>w</mi> <mi>n</mi> </mrow> </msub> <mi>t</mi> </msup> </mrow>
    In formula, Mk(t) it is unit maintenance parameter, is otherwise 0 when t moment unit has repair schedule to be for 1；ΔPk,up tAnd Δ Pk,down tRepresent respectively when t kth platform unit can flexible modulation power up and down, can be expressed from the next：
    <mrow> <msub> <msup> <mi>&amp;Delta;P</mi> <mi>t</mi> </msup> <mrow> <mi>k</mi> <mo>,</mo> <mi>u</mi> <mi>p</mi> </mrow> </msub> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <msubsup> <mi>P</mi> <mi>k</mi> <mrow> <mi>t</mi> <mo>-</mo> <mn>1</mn> </mrow> </msubsup> <mo>+</mo> <msub> <mi>P</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>u</mi> <mi>p</mi> </mrow> </msub> <mo>-</mo> <msubsup> <mi>P</mi> <mi>k</mi> <mi>t</mi> </msubsup> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <msub> <mi>P</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>N</mi> </mrow> </msub> <mo>&amp;GreaterEqual;</mo> <msubsup> <mi>P</mi> <mi>k</mi> <mrow> <mi>t</mi> <mo>-</mo> <mn>1</mn> </mrow> </msubsup> <mo>+</mo> <msub> <mi>P</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>u</mi> <mi>p</mi> </mrow> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>N</mi> </mrow> </msub> <mo>-</mo> <msubsup> <mi>P</mi> <mi>k</mi> <mi>t</mi> </msubsup> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <msub> <mi>P</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>N</mi> </mrow> </msub> <mo>&amp;le;</mo> <msubsup> <mi>P</mi> <mi>k</mi> <mrow> <mi>t</mi> <mo>-</mo> <mn>1</mn> </mrow> </msubsup> <mo>+</mo> <msub> <mi>P</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>u</mi> <mi>p</mi> </mrow> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow>
    <mrow> <msub> <msup> <mi>&amp;Delta;P</mi> <mi>t</mi> </msup> <mrow> <mi>k</mi> <mo>,</mo> <mi>d</mi> <mi>o</mi> <mi>w</mi> <mi>n</mi> </mrow> </msub> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <msubsup> <mi>P</mi> <mi>k</mi> <mi>t</mi> </msubsup> <mo>-</mo> <mrow> <mo>(</mo> <mrow> <msubsup> <mi>P</mi> <mi>k</mi> <mrow> <mi>t</mi> <mo>-</mo> <mn>1</mn> </mrow> </msubsup> <mo>-</mo> <msub> <mi>P</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>d</mi> <mi>o</mi> <mi>w</mi> <mi>n</mi> </mrow> </msub> </mrow> <mo>)</mo> </mrow> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <msubsup> <mi>P</mi> <mi>k</mi> <mrow> <mi>t</mi> <mo>-</mo> <mn>1</mn> </mrow> </msubsup> <mo>-</mo> <msub> <mi>P</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>d</mi> <mi>o</mi> <mi>w</mi> <mi>n</mi> </mrow> </msub> <mo>&amp;GreaterEqual;</mo> <msub> <mi>P</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>min</mi> </mrow> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msubsup> <mi>P</mi> <mi>k</mi> <mi>t</mi> </msubsup> <mo>-</mo> <msub> <mi>P</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>min</mi> </mrow> </msub> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <msubsup> <mi>P</mi> <mi>k</mi> <mrow> <mi>t</mi> <mo>-</mo> <mn>1</mn> </mrow> </msubsup> <mo>-</mo> <msub> <mi>P</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>d</mi> <mi>o</mi> <mi>w</mi> <mi>n</mi> </mrow> </msub> <mo>&lt;</mo> <msub> <mi>P</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>min</mi> </mrow> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow>
    In formula, Pk,upAnd Pk,downRespectively kth platform unit climbing rate up and down；Pk,NFor the rated power of kth platform unit； Pk,minContribute for the minimum technology of kth platform unit；
    It is that whole region wind electricity digestion amount scope is that then t moment wind power is flexible：
    <mrow> <msubsup> <mi>P</mi> <mi>W</mi> <mi>t</mi> </msubsup> <mo>-</mo> <msubsup> <mi>P</mi> <mrow> <mi>f</mi> <mo>,</mo> <mi>d</mi> <mi>o</mi> <mi>w</mi> <mi>n</mi> </mrow> <mi>t</mi> </msubsup> <mo>&amp;le;</mo> <msub> <msup> <mi>W</mi> <mi>t</mi> </msup> <mrow> <mi>R</mi> <mi>S</mi> </mrow> </msub> <mo>&amp;le;</mo> <msubsup> <mi>P</mi> <mi>W</mi> <mi>t</mi> </msubsup> <mo>+</mo> <msubsup> <mi>P</mi> <mrow> <mi>f</mi> <mo>,</mo> <mi>u</mi> <mi>p</mi> </mrow> <mi>t</mi> </msubsup> <mo>.</mo> </mrow>
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Application publication date: 20180420