CN107947246A - A kind of wind-powered electricity generation power generation Distribution Indexes for considering frequency modulation additional issue and additional issue appraisal procedure - Google Patents

A kind of wind-powered electricity generation power generation Distribution Indexes for considering frequency modulation additional issue and additional issue appraisal procedure Download PDF

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CN107947246A
CN107947246A CN201711126400.7A CN201711126400A CN107947246A CN 107947246 A CN107947246 A CN 107947246A CN 201711126400 A CN201711126400 A CN 201711126400A CN 107947246 A CN107947246 A CN 107947246A
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mrow
wind
msub
electricity generation
powered electricity
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CN107947246B (en
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罗浩成
宁剑
胡泽春
谢旭
江长明
牛四清
杨健
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Tsinghua University
North China Grid Co Ltd
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North China Grid Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/48Controlling the sharing of the in-phase component
    • H02J3/386
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/76Power conversion electric or electronic aspects

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Wind Motors (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Control Of Eletrric Generators (AREA)

Abstract

The invention discloses a kind of wind-powered electricity generation power generation Distribution Indexes for considering frequency modulation additional issue and additional issue appraisal procedure, belong to electric system real power control technical field.For this method first by relevant information in Automatic Generation Control information system, calculating the maximum of each province's tune wind-powered electricity generation virtual robot arm can use output and reality to contribute;Subdispatch center instructs situation according to the whole network wind electricity digestion space and frequency modulation, calculates the whole network wind-powered electricity generation regulating command;Subdispatch center can be used according to the maximum of each province's tune wind-powered electricity generation virtual robot arm and contribute, and consider its history power producing characteristics, distribute the wind-powered electricity generation regulating command of each provincial control centre;And according to regulating command data and metric data, the peak regulation increment life insurance and frequency modulation increment life insurance of assessment each province's tune wind-powered electricity generation virtual robot arm.The present invention participates in power grid frequency modulation with lifting system regulation performance while wind is abandoned in reduction by introducing Wind turbines, and considers regulating command distributional equity and rewards and punishments mechanism, and lifting wind-powered electricity generation participates in the reliability that power grid is adjusted.

Description

A kind of wind-powered electricity generation power generation Distribution Indexes for considering frequency modulation additional issue and additional issue appraisal procedure
Technical field
The invention belongs to electric system real power control technical field, and in particular to a kind of wind-powered electricity generation power generation for considering frequency modulation additional issue Distribution Indexes and additional issue appraisal procedure.
Background technology
The renewable energy power generation protruded as a kind of technology maturation, economic benefit, wind-power electricity generation are sent out over the past two decades Exhibition is swift and violent, is increasingly becoming one of the main source of electric energy supply.As wind-power electricity generation installation and the continuous of grid-connected scale are lifted, Its randomness and the intermittent influence to power system security stable operation gradually show:Adjusted for the hour level of electric system Degree, the intermittence and uncertainty of wind-powered electricity generation will in Unit Combination, tie line plan, climbing is spare etc. brings difficulty;For Minute level and second level scheduling, the fluctuation of wind-powered electricity generation will be controlled in system frequency, interconnection fluctuation adjustment etc. bring difficulty.
With the continuous development of wind-power electricity generation control technology, wind power plant, which is just progressively possessing, to be received electric power system dispatching, participates in The ability of electric power system dispatching operation, includes operation of power networks as one of managed resource using wind-power electricity generation and has been possibly realized.At present, The major control means of China's grid connected wind power are still planned a few days ago using wind power plant tracking, this is this means that the actual motion of wind power plant Still it is open loop operation.However, the formulation planned is predicted dependent on wind power output and load prediction a few days ago, it predicts that error will be to wind Electric field and the actual motion of electric system bring tremendous influence, may not only cause the utilizing status of wind power resources bad, but also may Cause electric system to adjust spare capacity to exhaust, reduce the economy and security of operation of power networks.
To solve this problem, patent " the wind-powered electricity generation additional issue control method that a kind of point of tune-province's tune two-stage is coordinated " (patent application Number:CN201610626975.4 a kind of wind-powered electricity generation closed loop control method) is disclosed, by dividing the coordination of tune-province's tune, wind-powered electricity generation power generation to refer to Target calculates and distribution, realizes that wind-power electricity generation participates in the operation with closed ring of electric system peak regulation.Further, due to peak regulation difficulty Caused by limit wind under the conditions of, if the available output and corresponding profile constraints of wind-powered electricity generation still have more than needed, suitable control can be used Strategy makes Wind turbines participate in electric system Automatic Generation Control, while lifting system frequency modulation performance, realizes that wind-powered electricity generation is issued additional. But this method does not consider the history power producing characteristics of Wind turbines and adjusts to show, and the quality of regulation performance does not give carry out rewards and punishments.
A kind of patent " Wind turbines participate in the control method for coordinating of electric system Automatic Generation Control " (number of patent application: CN201610248302.X wind-powered electricity generation frequency modulation issues additional control method under the conditions of) disclosing a kind of limit wind, and this method is in Region control The heart calculates the regulating command of Wind turbines based on Model Predictive Control thought, is calculated respectively by pro rate in provincial control centre The regulating command of wind power plant.But this method in computational methods of the subdispatch center based on Model Predictive Control is thought based on optimization Think, it calculates real-time and engineering availability is not high;It does not consider distributional equity and prize specifically when regulating command distributes Punish mechanism.
The content of the invention
The purpose of the present invention is in place of overcome the deficiencies in the prior art, a kind of wind-powered electricity generation for considering frequency modulation additional issue of proposition generates electricity Distribution Indexes and additional issue appraisal procedure.The present invention combines the operating status of Wind turbines, Region control constraint and Wind turbines Historical performance shows, it can be achieved that reasonable computation, distribution and the after-action review of wind-powered electricity generation power generation index.
The present invention proposes a kind of wind-powered electricity generation power generation Allocation method for considering frequency modulation additional issue, it is characterised in that including following Step:
1) collecting all wind power plant maximums in the whole network by Automatic Generation Control information system AGC can be with output with actually going out Power, and profile constraints information, calculating the maximum of each province's tune wind-powered electricity generation virtual robot arm can use output and reality to contribute;Calculation formula is such as Under:
Wherein,The maximum of wind-powered electricity generation virtual robot arm j is adjusted to use output to save,Adjust wind-powered electricity generation virtual robot arm j's to save Actual to contribute, j adjusts wind-powered electricity generation virtual robot arm numbering to save;PA,iOutput can be used for the maximum of wind power plant i;PW,iFor the reality of wind power plant i Contribute on border;And SkWind-powered electricity generation maximum, which can be used, under respectively section k contributes and the capacity-constrained of section k, k=1, and 2 ..., M, k Numbered for section, M is section sum;NW,kAnd NG,kThe conventional power plant under wind power plant sum and section k under respectively section k is total Number;PG,iReal-time for conventional power unit i is contributed;L adjusts wind-powered electricity generation virtual robot arm sum to save;
2) subdispatch center instructs situation according to the whole network wind electricity digestion space and frequency modulation, calculates the adjusting of the whole network wind-powered electricity generation and refers to Order;Comprise the following steps that:
2-1) calculate the whole network wind-powered electricity generation power generation index
2-2) judge whether wind-powered electricity generation participates in frequency modulation in region;Comprise the following steps that:
2-2-1) judge that the whole network wind-powered electricity generation maximum can be used to contributeWhether the whole network wind-powered electricity generation power generation index is more thanIfThen illustrate that wind power output is limited in region, enter step 2-2-2);Otherwise in region wind power output not by Limit, wind-powered electricity generation is not involved in frequency modulation in region, and method terminates;
2-2-2) judge whether wind-powered electricity generation is in output ramp up in region:If wind-powered electricity generation is in climbing rank of contributing in region Section, then wind-powered electricity generation is not involved in frequency modulation in region, and method terminates;If wind-powered electricity generation is not in output ramp up in region, wind in region Electricity participates in frequency modulation, enters step 2-3);
Situation 2-3) is instructed according to the whole network wind electricity digestion space and frequency modulation, calculates the whole network wind-powered electricity generation regulating command, calculation formula It is as follows:
Wherein,For the whole network wind-powered electricity generation regulating command, PARRInstructed for the whole network frequency modulation, α participates in sharing for frequency modulation for wind-powered electricity generation and is Number;
3) subdispatch center can be used according to the maximum of each province's tune wind-powered electricity generation virtual robot arm and contribute, and consider that each province's tune wind-powered electricity generation is empty Intend unit history power producing characteristics, distribute the wind-powered electricity generation regulating command of each provincial control centre;Comprise the following steps that:
3-1) calculate the adjusting power distribution of each province's tune wind-powered electricity generation virtual robot arm shares weight coefficient;
Save the new energy ultra-short term precision of prediction c for adjusting wind-powered electricity generation virtual robot arm jp,jIt is defined as follows:
In formula, Ppredict,jBeing saved for the non-limit wind period adjusts the prediction of wind-powered electricity generation virtual robot arm j ultra-short terms to contribute, Pactual,jFor non-limit The wind period, which saves, adjusts wind-powered electricity generation virtual robot arm j to send power in fact, and D limits wind period predicted time point quantity, IC to be in a few days non-jWind-powered electricity generation is adjusted to save Virtual robot arm j installed capacitys;
Save the regulation performance score s for adjusting wind-powered electricity generation virtual robot arm jp,jThe province of chosen area control adjusts the tune of wind-powered electricity generation virtual robot arm j Save Performance Evaluation index;
The ultra-short term precision of prediction a reference value for saving and adjusting wind-powered electricity generation virtual robot arm j is calculated respectivelyWith regulation performance score a reference valueExpression formula is as follows:
Wherein,For cp,jWeekly or monthly average value,For sp,jWeekly or monthly average value;
Save the adjusting power distribution of tune wind-powered electricity generation virtual robot arm j shares weight coefficient WjCalculation expression is as follows:
Wherein, a and b is respectively precision of prediction index weights coefficient and regulation performance index weights coefficient;
3-2) distribute the wind-powered electricity generation regulating command of the wind-powered electricity generation virtual robot arm of each provincial control centre;
Save the regulating command I for adjusting wind-powered electricity generation virtual robot arm jW,jCalculation formula is as follows:
The present invention proposes a kind of wind-powered electricity generation power generation index additional issue appraisal procedure for considering frequency modulation additional issue, it is characterised in that including Following steps:
1) collecting all wind power plant maximums in the whole network by Automatic Generation Control information system AGC can be with output with actually going out Power, and profile constraints information, calculating the maximum of each province's tune wind-powered electricity generation virtual robot arm can use output and reality to contribute;Calculation formula is such as Under:
Wherein,The maximum of wind-powered electricity generation virtual robot arm j is adjusted to use output to save,Adjust wind-powered electricity generation virtual robot arm j's to save Actual to contribute, j adjusts wind-powered electricity generation virtual robot arm numbering to save;PA,iOutput can be used for the maximum of wind power plant i;PW,iFor the reality of wind power plant i Contribute on border;And SkWind-powered electricity generation maximum, which can be used, under respectively section k contributes and the capacity-constrained of section k, k=1, and 2 ..., M, k Numbered for section, M is section sum;NW,kAnd NG,kThe conventional power plant under wind power plant sum and section k under respectively section k is total Number;PG,iReal-time for conventional power unit i is contributed;L adjusts wind-powered electricity generation virtual robot arm sum to save;
2) subdispatch center instructs situation according to the whole network wind electricity digestion space and frequency modulation, calculates the adjusting of the whole network wind-powered electricity generation and refers to Order;Comprise the following steps that:
2-1) calculate the whole network wind-powered electricity generation power generation index
2-2) judge whether wind-powered electricity generation participates in frequency modulation in region;Comprise the following steps that:
2-2-1) judge that the whole network wind-powered electricity generation maximum can be used to contributeWhether the whole network wind-powered electricity generation power generation index is more thanIfThen wind power output is limited in region, enters step 2-2-2);Otherwise wind power output is not limited in region, area Wind-powered electricity generation is not involved in frequency modulation in domain, and method terminates;
2-2-2) judge whether wind-powered electricity generation is in output ramp up in region:If wind-powered electricity generation is in climbing rank of contributing in region Section, then wind-powered electricity generation is not involved in frequency modulation in region, and method terminates;If wind-powered electricity generation is not in output ramp up in region, wind in region Electricity participates in frequency modulation, enters step 2-3);
Situation 2-3) is instructed according to the whole network wind electricity digestion space and frequency modulation, calculates the whole network wind-powered electricity generation regulating command, calculation formula It is as follows:
Wherein,For the whole network wind-powered electricity generation regulating command, PARRInstructed for the whole network frequency modulation, α participates in sharing for frequency modulation for wind-powered electricity generation and is Number;
3) subdispatch center can be used according to the maximum of each province's tune wind-powered electricity generation virtual robot arm and contribute, and consider that each province's tune wind-powered electricity generation is empty Intend unit history power producing characteristics, distribute the wind-powered electricity generation regulating command of each provincial control centre;Comprise the following steps that:
3-1) calculate the adjusting power distribution of each province's tune wind-powered electricity generation virtual robot arm shares weight coefficient;
Save the new energy ultra-short term precision of prediction c for adjusting wind-powered electricity generation virtual robot arm jp,jIt is defined as follows:
In formula, Ppredict,jBeing saved for the non-limit wind period adjusts the prediction of wind-powered electricity generation virtual robot arm j ultra-short terms to contribute, Pactual,jFor non-limit The wind period, which saves, adjusts wind-powered electricity generation virtual robot arm j to send power in fact, and D limits wind period predicted time point quantity, IC to be in a few days non-jWind-powered electricity generation is adjusted to save Virtual robot arm j installed capacitys;
Save the regulation performance score s for adjusting wind-powered electricity generation virtual robot arm jp,jThe province of chosen area control adjusts the tune of wind-powered electricity generation virtual robot arm j Save Performance Evaluation index;
The ultra-short term precision of prediction a reference value for saving and adjusting wind-powered electricity generation virtual robot arm j is calculated respectivelyWith regulation performance score benchmark ValueExpression formula is as follows:
Wherein,For cp,jWeekly or monthly average value,For sp,jWeekly or monthly average value;
Save the adjusting power distribution of tune wind-powered electricity generation virtual robot arm j shares weight coefficient WjCalculation expression is as follows:
Wherein, a and b is respectively precision of prediction index weights coefficient and regulation performance index weights coefficient;
3-2) distribute the wind-powered electricity generation regulating command of the wind-powered electricity generation virtual robot arm of each provincial control centre;
Save the regulating command I for adjusting wind-powered electricity generation virtual robot arm jW,jCalculation formula is as follows:
4) according to regulating command data and metric data, the peak regulation increment life insurance and tune of assessment each province's tune wind-powered electricity generation virtual robot arm Frequency increment life insurance;Comprise the following steps that:
4-1) matching saves the regulating command for adjusting wind-powered electricity generation virtual robot arm in sequential and reality is contributed, and it is virtual to obtain province's tune wind-powered electricity generation The actual output of unit and corresponding response time when saving the regulating command degree of correlation maximum for adjusting wind-powered electricity generation virtual robot arm;
The order whole continuous regulation and control period is a time window, will be saved under the time window and adjusts wind-powered electricity generation virtual robot arm j's Actual contribute carries out transverse translation along time shaft, and the actual output for adjusting wind-powered electricity generation virtual robot arm j is saved after being translated and is saved and adjusts wind-powered electricity generation The corresponding response time of regulating command maximum relation degree of virtual robot arm j;Wherein, maximum relation degree rjCalculation formula is such as Under:
Wherein, δjAdjust the corresponding response time of wind-powered electricity generation virtual robot arm j maximum relation degrees to save, R (x, y) for ask for Measure x and the function of the vector y degrees of correlation;IW,j(t) the province's tune wind-powered electricity generation virtual robot arm j regulating commands for being moment t,For when Carve the actual outputs of province tune wind-powered electricity generation virtual robot arm j of t;
4-2) calculate the increment life insurance for saving the increment life insurance for adjusting wind-powered electricity generation virtual robot arm to participate in peak regulation and frequency modulation;
It will save and adjust wind-powered electricity generation virtual robot arm j is actual to contributeWind instruction is manually limited with the simulation for saving tune wind-powered electricity generation virtual robot arm j PC,jAccording to step 4-1) the response time δ that is calculatedjTranslated, the province's tune wind-powered electricity generation respectively obtained after translation is virtual The actual output of unit jThe simulation of wind-powered electricity generation virtual robot arm j is adjusted manually to limit wind instruction with the province after translation
Save the peak regulation increment life insurance for adjusting wind-powered electricity generation virtual robot arm jWith frequency modulation increment life insuranceCalculation expression difference It is as follows:
Wherein, Δ t is an AGC instruction cycle duration.
The features of the present invention and beneficial effect are:
The present invention considers that wind-powered electricity generation participates in frequency modulation control to realize that electricity is issued additional, with reference to the fortune of Wind turbines under the conditions of wind is limited The historical performance performance of row state, Region control constraint and Wind turbines carries out the distribution of wind-powered electricity generation power generation index, and subsequent right Peak regulation, frequency modulation two benches increment life insurance are rationally assessed.Frequency modulation is participated in by wind-powered electricity generation, the present invention can abandon wind-powered electricity generation amount in reduction While, realize the wind-powered electricity generation power generation Distribution Indexes for considering rewards and punishments mechanism, promote the lifting of wind-powered electricity generation regulation performance.
Brief description of the drawings
Fig. 1 is a kind of wind-powered electricity generation power generation Distribution Indexes of consideration frequency modulation additional issue of the present invention and the flow for issuing additional appraisal procedure Figure.
Embodiment
A kind of wind-powered electricity generation power generation Distribution Indexes for considering frequency modulation additional issue proposed by the present invention and additional issue appraisal procedure, with reference to The drawings and specific embodiments are further described as follows.
A kind of wind-powered electricity generation power generation Distribution Indexes for considering frequency modulation additional issue proposed by the present invention and additional issue appraisal procedure, overall flow As shown in Figure 1, comprise the following steps:
1) it can be used and contributed and reality by all wind power plant maximums in Automatic Generation Control information (AGC) systematic collection the whole network Contribute, and the profile constraints information from AGC system, calculates the maximum of each province's tune wind-powered electricity generation virtual robot arm and can use and contribute and real Contribute on border;Calculation formula is as follows:
Wherein,The maximum of wind-powered electricity generation virtual robot arm j is adjusted to use output to save,Adjust wind-powered electricity generation virtual robot arm j's to save Actual to contribute, j adjusts wind-powered electricity generation virtual robot arm numbering to save;PA,i(unit of contributing can be used for the maximum of wind power plant i:MW);PW,iFor wind Actual output (the unit of electric field i:MW);And SkWind-powered electricity generation maximum, which can be used, under respectively section k contributes with the capacity of section k about Beam, k=1,2 ..., M, k be section numbering, M (saves tune and may have multiple wind-powered electricity generations under its command and send out bases, and each wind for section sum Electricity is sent out base and is usually sent out by a section.);NW,kAnd NG,kUnder wind power plant sum and section k under respectively section k Conventional power plant sum;PG,iReal-time for conventional power unit i is contributed;L adjusts wind-powered electricity generation virtual robot arm sum to save.In the present invention, the whole network is Refer to all power grids of subdispatch center administration, it is made of multiple control zones;Save the machine adjusted and be responsible for each control zone scheduling Structure.
2) subdispatch center instructs situation according to the whole network wind electricity digestion space and frequency modulation, calculates the adjusting of the whole network wind-powered electricity generation and refers to Order.Comprise the following steps that:
2-1) calculate the whole network wind-powered electricity generation power generation index for considering peak regulation constraintThe computational methods of the index are (for existing skill Art) it should be chosen according to the scheduling mechanism and regulation and control resource at subdispatch center, its factor mainly considered includes:Bear in region Lotus prediction, region tie line plan, minimum adjustable, the reserved lower spinning reserve of region system fire tuning electricity, hydroenergy storage station are drawn water hair Electrical power etc..
Especially, in the present embodiment, calculated using equation below
Wherein, VfFor ultra-short term (ultra-short term be often referred to future 5 to 1 it is small when load variations situation Prediction), PtieFor inter- regional dispatch plan, Vh-regFor the minimum adjustable output of region system fire tuning electricity, Vr-regFor reserved lower rotation It is spare, Vr-plantContribute for power plant for self-supply, VpumpDraw water generated output for hydroenergy storage station.
2-2) judge whether wind-powered electricity generation participates in frequency modulation in region, and wind-powered electricity generation is by all province's tune wind-powered electricity generation virtual machines of the whole network in the region Group is formed;Comprise the following steps that:
2-2-1) judge whether wind power output is limited in region, that is, judge that the whole network wind-powered electricity generation maximum can be used and contributeIt is It is no to be more than the whole network wind-powered electricity generation power generation indexIfThen wind power output is limited in region, enters step 2-2- 2);Otherwise wind power output is not limited in region, and wind-powered electricity generation is not involved in frequency modulation in region, and method terminates;
2-2-2) judge whether wind-powered electricity generation is in output ramp up in region:If wind-powered electricity generation is in climbing rank of contributing in region Section, then wind-powered electricity generation is not involved in frequency modulation in region, and method terminates;If wind-powered electricity generation is not in output ramp up in region, wind in region Electricity may participate in frequency modulation, enter step 2-3).
Especially, the present embodiment is using the whole network wind-powered electricity generation power generation indexStability bandwidth VRWWhether locate as wind-powered electricity generation in region In the basis for estimation of output ramp up, VRWCalculated using equation below:
Wherein,For the whole network generate electricity index next time point (i.e. after five minutes) predicted value.If VRW≤ 5%, then Think that wind-powered electricity generation is not in output ramp up in region;Otherwise it is assumed that wind-powered electricity generation is in output ramp up in region.
2-3) according to the whole network wind electricity digestion space and frequency modulation instruction situation, (all AGC systems carry the meter of the calculating instruction Calculate function), the whole network wind-powered electricity generation regulating command is calculated, calculation formula is as follows:
Wherein,For the whole network wind-powered electricity generation regulating command (unit:MW), PARR(unit is instructed for the whole network frequency modulation:MW), α is wind Electricity participation frequency modulation shares coefficient (value range is 0~1, embodiment value 0.6).Above formula shows that the adjusting of the whole network wind-powered electricity generation refers to Order, is to be superimposed FM signal on existing wind-powered electricity generation gross capability;Meanwhile it need to ensure that the regulating command after superposition is sent out more than the whole network wind-powered electricity generation Electric indexWind is abandoned to reduce, can ensure regulation performance with contributing less than the whole network wind-powered electricity generation maximum.
3) subdispatch center can be used according to the maximum of each province's tune wind-powered electricity generation virtual robot arm and contribute, and consider that each province's tune wind-powered electricity generation is empty Intend unit history power producing characteristics, distribute the wind-powered electricity generation regulating command of each provincial control centre.
In order to ensure the fairness during generation of electricity by new energy Distribution Indexes, and consider each control zone in prediction a few days ago, reality When the specific manifestation in link such as response, the evaluation index to the prediction of new energy ultra-short term, real-time response can be introduced, with reference to wind-powered electricity generation Virtual robot arm maximum can be used and contributed, and tried to achieve each province's tune wind-powered electricity generation virtual robot arm and adjusted the weight of sharing of power distribution, and then distribute each The wind-powered electricity generation regulating command of provincial control centre.Comprise the following steps that:
3-1) calculate the adjusting power distribution of each province's tune wind-powered electricity generation virtual robot arm shares weight coefficient.The weight coefficient is to be based on The maximum of each province's tune wind-powered electricity generation virtual robot arm can be used and contributed, and via to new energy ultra-short term precision of prediction and regulation performance score two The amendment of a index obtains.
Save the new energy ultra-short term precision of prediction c for adjusting wind-powered electricity generation virtual robot arm jp,jIt is defined as follows:
In formula, Ppredict,jBeing saved for the non-limit wind period adjusts the prediction of wind-powered electricity generation virtual robot arm j ultra-short terms to contribute, Pactual,jFor non-limit The wind period, which saves, adjusts wind-powered electricity generation virtual robot arm j to send power in fact, and D saves predicted time point quantity (generally 288 for the in a few days non-limit wind period A point), ICjWind-powered electricity generation virtual robot arm j installed capacitys are adjusted to save.
Save the regulation performance score s for adjusting wind-powered electricity generation virtual robot arm jp,jThe province tune wind-powered electricity generation virtual robot arm j of usual chosen area control Regulation performance evaluation index;Especially, the index of correlation of AGC examination compensation is referred to, it is every as defined in " two detailed rules and regulations " Regulating index;
In order to guarantee fairness and real-time, can rolling calculation above-mentioned two index, and choose the weekly of two indices or Monthly average valueSubsequently to be calculated.In order to during generation of electricity by new energy Distribution Indexes more liberally Meter and above-mentioned two index, tackle it and are modified, and to each index, can make the average value of itself divided by each control zone index For parameter, its result of calculation can be expressed as the ultra-short term precision of prediction a reference value of province tune wind-powered electricity generation virtual robot arm jWith Regulation performance score a reference valueExpression formula is as follows:
Above-mentioned calculating process may be such that influence of the two indices to allocation result more to carry out perunit to two indices respectively It is close, easy to the selection of follow-up weight coefficient.
Save the adjusting power distribution of tune wind-powered electricity generation virtual robot arm j shares weight coefficient WjCalculation expression is as follows:
Wherein, a and b is respectively precision of prediction index weights coefficient and regulation performance index weights coefficient, and value range is equal For 0~1.Especially, the present embodiment takes a=b=0.5.
3-2) distribute the wind-powered electricity generation regulating command of the wind-powered electricity generation virtual robot arm of each provincial control centre.
Save the regulating command I for adjusting wind-powered electricity generation virtual robot arm jW,jCalculation formula is as follows:
4) according to regulating command data and metric data, the peak regulation increment life insurance and tune of assessment each province's tune wind-powered electricity generation virtual robot arm Frequency increment life insurance.Comprise the following steps that:
4-1) matching saves the regulating command for adjusting wind-powered electricity generation virtual robot arm in sequential and reality is contributed, and it is virtual to obtain province's tune wind-powered electricity generation The actual output of unit and corresponding response time when saving the regulating command degree of correlation maximum for adjusting wind-powered electricity generation virtual robot arm;Consider whole A continuous regulation and control period is a time window (continuous regulation and control include only peak regulation and peak-frequency regulation), is issued in the time window Save and adjust the regulating command of wind-powered electricity generation virtual robot arm to be performed after certain fixed delay by wind-powered electricity generation.To determine the fixed delay, will can save Adjust the actual output of wind-powered electricity generation virtual robot arm j to carry out transverse translation along time shaft, the reality for adjusting wind-powered electricity generation virtual robot arm j is saved after being translated Border output response time corresponding with the regulating command maximum relation degree for saving tune wind-powered electricity generation virtual robot arm j.Wherein, maximal correlation Spend rjCalculation formula is as follows:
Wherein, δjAdjust the corresponding response time of wind-powered electricity generation virtual robot arm j maximum relation degrees to save, R (x, y) for ask for Measure x and the function of the vector y degrees of correlation.IW,j(t) regulating command of wind-powered electricity generation virtual robot arm j is adjusted for the province of moment t,For Each province's tune wind-powered electricity generation virtual robot arm of moment t is actual to contribute;
4-2) calculate the increment life insurance for saving the increment life insurance for adjusting wind-powered electricity generation virtual robot arm to participate in peak regulation and frequency modulation.
It will save and adjust wind-powered electricity generation virtual robot arm j is actual to contributeWind instruction is manually limited with the simulation for saving tune wind-powered electricity generation virtual robot arm j PC,j(PC,jCan choose limit the wind period it is minimum wind-powered electricity generation power generation index) according to the response time δ being calculatedjTranslated, Respectively obtain the actual output that the province after translation adjusts wind-powered electricity generation virtual robot arm jAdjust wind-powered electricity generation virtual robot arm j's with the province after translation Simulation manually limit wind instructionFor calculating frequency modulation increment life insurance.
Save the peak regulation increment life insurance for adjusting wind-powered electricity generation virtual robot arm jWith frequency modulation increment life insuranceCalculation expression difference It is as follows:
Wherein,WithProvince after the actual output of province tune wind-powered electricity generation virtual robot arm j after respectively translating and translation The simulation of wind-powered electricity generation virtual robot arm j is adjusted manually to limit wind instruction, Δ t is an AGC instruction cycle duration.
By issue additional assessment, it can be achieved that peak regulation, frequency modulation increment life insurance distribution decouple calculate, using as to Wind turbines into The basis of row compensation.

Claims (6)

1. a kind of wind-powered electricity generation power generation Allocation method for considering frequency modulation additional issue, it is characterised in that comprise the following steps:
1) collecting all wind power plant maximums in the whole network by Automatic Generation Control information system AGC can use output to contribute with actual, And profile constraints information, calculating the maximum of each province's tune wind-powered electricity generation virtual robot arm can use output and reality to contribute;Calculation formula is as follows:
<mrow> <msubsup> <mi>P</mi> <mrow> <mi>A</mi> <mo>,</mo> <mi>k</mi> </mrow> <mrow> <mi>L</mi> <mi>I</mi> <mi>N</mi> <mi>E</mi> </mrow> </msubsup> <mo>=</mo> <mi>min</mi> <mrow> <mo>(</mo> <msub> <mi>S</mi> <mi>k</mi> </msub> <mo>-</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <msub> <mi>N</mi> <mrow> <mi>G</mi> <mo>,</mo> <mi>k</mi> </mrow> </msub> </munderover> <msub> <mi>P</mi> <mrow> <mi>G</mi> <mo>,</mo> <mi>i</mi> </mrow> </msub> <mo>,</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <msub> <mi>N</mi> <mrow> <mi>W</mi> <mo>,</mo> <mi>k</mi> </mrow> </msub> </munderover> <msub> <mi>P</mi> <mrow> <mi>A</mi> <mo>,</mo> <mi>i</mi> </mrow> </msub> <mo>)</mo> </mrow> <mo>,</mo> <mi>k</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mn>...</mn> <mo>,</mo> <mi>M</mi> </mrow>
<mrow> <msubsup> <mi>P</mi> <mrow> <mi>A</mi> <mo>,</mo> <mi>j</mi> </mrow> <mrow> <mi>A</mi> <mi>R</mi> <mi>E</mi> <mi>A</mi> </mrow> </msubsup> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>M</mi> </munderover> <msubsup> <mi>P</mi> <mrow> <mi>A</mi> <mo>,</mo> <mi>k</mi> </mrow> <mrow> <mi>L</mi> <mi>I</mi> <mi>N</mi> <mi>E</mi> </mrow> </msubsup> <mo>,</mo> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mn>...</mn> <mo>,</mo> <mi>L</mi> </mrow>
<mrow> <msubsup> <mi>P</mi> <mrow> <mi>W</mi> <mo>,</mo> <mi>j</mi> </mrow> <mrow> <mi>A</mi> <mi>R</mi> <mi>E</mi> <mi>A</mi> </mrow> </msubsup> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </munderover> <msub> <mi>P</mi> <mrow> <mi>W</mi> <mo>,</mo> <mi>i</mi> </mrow> </msub> <mo>,</mo> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mn>...</mn> <mo>,</mo> <mi>L</mi> </mrow>
Wherein,The maximum of wind-powered electricity generation virtual robot arm j is adjusted to use output to save,To save the reality for adjusting wind-powered electricity generation virtual robot arm j Contribute, j adjusts wind-powered electricity generation virtual robot arm numbering to save;PA,iOutput can be used for the maximum of wind power plant i;PW,iFor actually going out for wind power plant i Power;And SkUnder respectively section k wind-powered electricity generation maximum can use contribute and section k capacity-constrained, k=1,2 ..., M, k be disconnected Face is numbered, and M is section sum;NW,kAnd NG,kThe conventional power plant sum under wind power plant sum and section k under respectively section k; PG,iReal-time for conventional power unit i is contributed;L adjusts wind-powered electricity generation virtual robot arm sum to save;
2) subdispatch center instructs situation according to the whole network wind electricity digestion space and frequency modulation, calculates the whole network wind-powered electricity generation regulating command;Tool Body step is as follows:
2-1) calculate the whole network wind-powered electricity generation power generation index
2-2) judge whether wind-powered electricity generation participates in frequency modulation in region;Comprise the following steps that:
2-2-1) judge that the whole network wind-powered electricity generation maximum can be used to contributeWhether the whole network wind-powered electricity generation power generation index is more thanIfThen wind power output is limited in region, enters step 2-2-2);Otherwise wind power output is not limited in region, area Wind-powered electricity generation is not involved in frequency modulation in domain, and method terminates;
2-2-2) judge whether wind-powered electricity generation is in output ramp up in region:If wind-powered electricity generation is in output ramp up in region, Wind-powered electricity generation is not involved in frequency modulation in region, and method terminates;If wind-powered electricity generation is not in output ramp up in region, wind-powered electricity generation participates in region Frequency modulation, enters step 2-3);
Situation 2-3) is instructed according to the whole network wind electricity digestion space and frequency modulation, calculates the whole network wind-powered electricity generation regulating command, calculation formula is as follows:
<mrow> <msubsup> <mi>I</mi> <mi>W</mi> <mrow> <mi>A</mi> <mi>l</mi> <mi>l</mi> </mrow> </msubsup> <mo>=</mo> <mi>max</mi> <mrow> <mo>(</mo> <mi>min</mi> <mo>(</mo> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>L</mi> </munderover> <msubsup> <mi>P</mi> <mrow> <mi>W</mi> <mo>,</mo> <mi>j</mi> </mrow> <mrow> <mi>A</mi> <mi>R</mi> <mi>E</mi> <mi>A</mi> </mrow> </msubsup> <mo>+</mo> <msub> <mi>&amp;alpha;P</mi> <mrow> <mi>A</mi> <mi>R</mi> <mi>R</mi> </mrow> </msub> <mo>,</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>L</mi> </munderover> <msubsup> <mi>P</mi> <mrow> <mi>A</mi> <mo>,</mo> <mi>j</mi> </mrow> <mrow> <mi>A</mi> <mi>R</mi> <mi>E</mi> <mi>A</mi> </mrow> </msubsup> </mrow> <mo>)</mo> <mo>,</mo> <msubsup> <mi>I</mi> <mi>W</mi> <mrow> <mi>P</mi> <mi>e</mi> <mi>a</mi> <mi>k</mi> </mrow> </msubsup> <mo>)</mo> </mrow> </mrow>
Wherein,For the whole network wind-powered electricity generation regulating command, PARRInstructed for the whole network frequency modulation, α shares coefficient for wind-powered electricity generation participation frequency modulation;
3) subdispatch center can be used according to the maximum of each province's tune wind-powered electricity generation virtual robot arm and contribute, and consider each province's tune wind-powered electricity generation virtual machine Group history power producing characteristics, distribute the wind-powered electricity generation regulating command of each provincial control centre;Comprise the following steps that:
3-1) calculate the adjusting power distribution of each province's tune wind-powered electricity generation virtual robot arm shares weight coefficient;
Save the new energy ultra-short term precision of prediction c for adjusting wind-powered electricity generation virtual robot arm jp,jIt is defined as follows:
<mrow> <msub> <mi>c</mi> <mrow> <mi>p</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>=</mo> <mn>1</mn> <mo>-</mo> <msqrt> <mfrac> <mrow> <munder> <mo>&amp;Sigma;</mo> <mi>D</mi> </munder> <msup> <mrow> <mo>(</mo> <mo>|</mo> <msub> <mi>P</mi> <mrow> <mi>p</mi> <mi>r</mi> <mi>e</mi> <mi>d</mi> <mi>i</mi> <mi>c</mi> <mi>t</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>P</mi> <mrow> <mi>a</mi> <mi>c</mi> <mi>t</mi> <mi>u</mi> <mi>a</mi> <mi>l</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>|</mo> <mo>/</mo> <msub> <mi>IC</mi> <mi>j</mi> </msub> <mo>)</mo> </mrow> <mn>2</mn> </msup> </mrow> <mi>D</mi> </mfrac> </msqrt> <mo>,</mo> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mn>...</mn> <mo>,</mo> <mi>L</mi> </mrow>
In formula, Ppredict,jBeing saved for the non-limit wind period adjusts the prediction of wind-powered electricity generation virtual robot arm j ultra-short terms to contribute, Pactual,jFor it is non-limit wind when Section, which saves, adjusts wind-powered electricity generation virtual robot arm j to send power in fact, and D limits wind period predicted time point quantity, IC to be in a few days non-jAdjust wind-powered electricity generation virtual to save Unit j installed capacitys;
Save the regulation performance score s for adjusting wind-powered electricity generation virtual robot arm jp,jThe province of chosen area control adjusts the modulability of wind-powered electricity generation virtual robot arm j Can evaluation index;
The ultra-short term precision of prediction a reference value for saving and adjusting wind-powered electricity generation virtual robot arm j is calculated respectivelyWith regulation performance score a reference value Expression formula is as follows:
<mrow> <msubsup> <mi>c</mi> <mrow> <mi>p</mi> <mo>,</mo> <mi>j</mi> </mrow> <mo>*</mo> </msubsup> <mo>=</mo> <mfrac> <msub> <mi>c</mi> <mrow> <mi>p</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <msub> <mover> <mi>c</mi> <mo>&amp;OverBar;</mo> </mover> <mrow> <mi>c</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> </mfrac> </mrow>
<mrow> <msubsup> <mi>s</mi> <mrow> <mi>p</mi> <mo>,</mo> <mi>j</mi> </mrow> <mo>*</mo> </msubsup> <mo>=</mo> <mfrac> <msub> <mi>s</mi> <mrow> <mi>p</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <msub> <mover> <mi>s</mi> <mo>&amp;OverBar;</mo> </mover> <mrow> <mi>p</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> </mfrac> </mrow>
Wherein,For cp,jWeekly or monthly average value,For sp,jWeekly or monthly average value;
Save the adjusting power distribution of tune wind-powered electricity generation virtual robot arm j shares weight coefficient WjCalculation expression is as follows:
<mrow> <msub> <mi>W</mi> <mi>j</mi> </msub> <mo>=</mo> <mfrac> <mrow> <msubsup> <mi>P</mi> <mrow> <mi>A</mi> <mo>,</mo> <mi>j</mi> </mrow> <mrow> <mi>A</mi> <mi>R</mi> <mi>E</mi> <mi>A</mi> </mrow> </msubsup> <mo>&amp;CenterDot;</mo> <mrow> <mo>(</mo> <mi>a</mi> <mo>&amp;CenterDot;</mo> <msubsup> <mi>c</mi> <mrow> <mi>p</mi> <mo>,</mo> <mi>j</mi> </mrow> <mo>*</mo> </msubsup> <mo>+</mo> <mi>b</mi> <mo>&amp;CenterDot;</mo> <msubsup> <mi>s</mi> <mrow> <mi>p</mi> <mo>,</mo> <mi>j</mi> </mrow> <mo>*</mo> </msubsup> <mo>)</mo> </mrow> </mrow> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>L</mi> </munderover> <msubsup> <mi>P</mi> <mrow> <mi>A</mi> <mo>,</mo> <mi>j</mi> </mrow> <mrow> <mi>A</mi> <mi>R</mi> <mi>E</mi> <mi>A</mi> </mrow> </msubsup> <mo>&amp;CenterDot;</mo> <mrow> <mo>(</mo> <mi>a</mi> <mo>&amp;CenterDot;</mo> <msubsup> <mi>c</mi> <mrow> <mi>p</mi> <mo>,</mo> <mi>j</mi> </mrow> <mo>*</mo> </msubsup> <mo>+</mo> <mi>b</mi> <mo>&amp;CenterDot;</mo> <msubsup> <mi>s</mi> <mrow> <mi>p</mi> <mo>,</mo> <mi>j</mi> </mrow> <mo>*</mo> </msubsup> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>,</mo> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mn>...</mn> <mo>,</mo> <mi>L</mi> </mrow>
Wherein, a and b is respectively precision of prediction index weights coefficient and regulation performance index weights coefficient;
3-2) distribute the wind-powered electricity generation regulating command of the wind-powered electricity generation virtual robot arm of each provincial control centre;
Save the regulating command I for adjusting wind-powered electricity generation virtual robot arm jW,jCalculation formula is as follows:
<mrow> <msub> <mi>I</mi> <mrow> <mi>W</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>=</mo> <msubsup> <mi>I</mi> <mi>W</mi> <mrow> <mi>A</mi> <mi>l</mi> <mi>l</mi> </mrow> </msubsup> <mo>&amp;times;</mo> <msub> <mi>W</mi> <mi>j</mi> </msub> <mo>,</mo> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mn>...</mn> <mo>,</mo> <mi>L</mi> <mo>.</mo> </mrow>
2. the method as described in claim 1, it is characterised in that the step 2-1) in the whole network wind-powered electricity generation power generation indexCalculate Method is as follows:
<mrow> <msubsup> <mi>I</mi> <mi>W</mi> <mrow> <mi>P</mi> <mi>e</mi> <mi>a</mi> <mi>k</mi> </mrow> </msubsup> <mo>=</mo> <msub> <mi>V</mi> <mi>f</mi> </msub> <mo>-</mo> <msub> <mi>P</mi> <mrow> <mi>t</mi> <mi>i</mi> <mi>e</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>V</mi> <mrow> <mi>h</mi> <mo>-</mo> <mi>r</mi> <mi>e</mi> <mi>g</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>V</mi> <mrow> <mi>r</mi> <mo>-</mo> <mi>r</mi> <mi>e</mi> <mi>g</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>V</mi> <mrow> <mi>r</mi> <mo>-</mo> <mi>p</mi> <mi>l</mi> <mi>a</mi> <mi>n</mi> <mi>t</mi> </mrow> </msub> <mo>+</mo> <msub> <mi>V</mi> <mrow> <mi>p</mi> <mi>u</mi> <mi>m</mi> <mi>p</mi> </mrow> </msub> </mrow>
Wherein, VfFor ultra-short term, PtieFor inter- regional dispatch plan, Vh-regIt may bring up for region system fire tuning electricity minimum Power, Vr-regFor reserved lower spinning reserve, Vr-plantContribute for power plant for self-supply, VpumpDraw water generated output for hydroenergy storage station.
3. the method as described in claim 1, it is characterised in that the step 2-2-2) in judge whether wind-powered electricity generation is in region Output ramp up, specific method are as follows:
Calculate the whole network wind-powered electricity generation power generation indexStability bandwidth, expression formula is as follows:
<mrow> <msub> <mi>VR</mi> <mi>W</mi> </msub> <mo>=</mo> <mfrac> <mrow> <mo>|</mo> <msubsup> <mi>I</mi> <mrow> <mi>W</mi> <mo>,</mo> <mi>f</mi> </mrow> <mrow> <mi>P</mi> <mi>e</mi> <mi>a</mi> <mi>k</mi> </mrow> </msubsup> <mo>-</mo> <msubsup> <mi>I</mi> <mi>W</mi> <mrow> <mi>P</mi> <mi>e</mi> <mi>a</mi> <mi>k</mi> </mrow> </msubsup> <mo>|</mo> </mrow> <msubsup> <mi>I</mi> <mi>W</mi> <mrow> <mi>P</mi> <mi>e</mi> <mi>a</mi> <mi>k</mi> </mrow> </msubsup> </mfrac> <mo>&amp;times;</mo> <mn>100</mn> <mi>%</mi> </mrow>
Wherein,For the whole network generate electricity index next time point predicted value;
If VRW≤ 5%, then wind-powered electricity generation is not in output ramp up in region;Otherwise wind-powered electricity generation is in output ramp up in region.
4. a kind of wind-powered electricity generation power generation index additional issue appraisal procedure for considering frequency modulation additional issue, it is characterised in that comprise the following steps:
1) collecting all wind power plant maximums in the whole network by Automatic Generation Control information system AGC can use output to contribute with actual, And profile constraints information, calculating the maximum of each province's tune wind-powered electricity generation virtual robot arm can use output and reality to contribute;Calculation formula is as follows:
<mrow> <msubsup> <mi>P</mi> <mrow> <mi>A</mi> <mo>,</mo> <mi>k</mi> </mrow> <mrow> <mi>L</mi> <mi>I</mi> <mi>N</mi> <mi>E</mi> </mrow> </msubsup> <mo>=</mo> <mi>min</mi> <mrow> <mo>(</mo> <msub> <mi>S</mi> <mi>k</mi> </msub> <mo>-</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <msub> <mi>N</mi> <mrow> <mi>G</mi> <mo>,</mo> <mi>k</mi> </mrow> </msub> </munderover> <msub> <mi>P</mi> <mrow> <mi>G</mi> <mo>,</mo> <mi>i</mi> </mrow> </msub> <mo>,</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <msub> <mi>N</mi> <mrow> <mi>W</mi> <mo>,</mo> <mi>k</mi> </mrow> </msub> </munderover> <msub> <mi>P</mi> <mrow> <mi>A</mi> <mo>,</mo> <mi>i</mi> </mrow> </msub> <mo>)</mo> </mrow> <mo>,</mo> <mi>k</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mn>...</mn> <mo>,</mo> <mi>M</mi> </mrow>
<mrow> <msubsup> <mi>P</mi> <mrow> <mi>A</mi> <mo>,</mo> <mi>j</mi> </mrow> <mrow> <mi>A</mi> <mi>R</mi> <mi>E</mi> <mi>A</mi> </mrow> </msubsup> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>M</mi> </munderover> <msubsup> <mi>P</mi> <mrow> <mi>A</mi> <mo>,</mo> <mi>k</mi> </mrow> <mrow> <mi>L</mi> <mi>I</mi> <mi>N</mi> <mi>E</mi> </mrow> </msubsup> <mo>,</mo> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mn>...</mn> <mo>,</mo> <mi>L</mi> </mrow>
<mrow> <msubsup> <mi>P</mi> <mrow> <mi>W</mi> <mo>,</mo> <mi>j</mi> </mrow> <mrow> <mi>A</mi> <mi>R</mi> <mi>E</mi> <mi>A</mi> </mrow> </msubsup> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </munderover> <msub> <mi>P</mi> <mrow> <mi>W</mi> <mo>,</mo> <mi>i</mi> </mrow> </msub> <mo>,</mo> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mn>...</mn> <mo>,</mo> <mi>L</mi> </mrow>
Wherein,The maximum of wind-powered electricity generation virtual robot arm j is adjusted to use output to save,To save the reality for adjusting wind-powered electricity generation virtual robot arm j Contribute, j adjusts wind-powered electricity generation virtual robot arm numbering to save;PA,iOutput can be used for the maximum of wind power plant i;PW,iFor actually going out for wind power plant i Power;And SkUnder respectively section k wind-powered electricity generation maximum can use contribute and section k capacity-constrained, k=1,2 ..., M, k be disconnected Face is numbered, and M is section sum;NW,kAnd NG,kThe conventional power plant sum under wind power plant sum and section k under respectively section k; PG,iReal-time for conventional power unit i is contributed;L adjusts wind-powered electricity generation virtual robot arm sum to save;
2) subdispatch center instructs situation according to the whole network wind electricity digestion space and frequency modulation, calculates the whole network wind-powered electricity generation regulating command;
Comprise the following steps that:
2-1) calculate the whole network wind-powered electricity generation power generation index
2-2) judge whether wind-powered electricity generation participates in frequency modulation in region;Comprise the following steps that:
2-2-1) judge that the whole network wind-powered electricity generation maximum can be used to contributeWhether the whole network wind-powered electricity generation power generation index is more thanIfThen wind power output is limited in region, enters step 2-2-2);Otherwise wind power output is not limited in region, area Wind-powered electricity generation is not involved in frequency modulation in domain, and method terminates;
2-2-2) judge whether wind-powered electricity generation is in output ramp up in region:If wind-powered electricity generation is in output ramp up in region, Wind-powered electricity generation is not involved in frequency modulation in region, and method terminates;If wind-powered electricity generation is not in output ramp up in region, wind-powered electricity generation participates in region Frequency modulation, enters step 2-3);
Situation 2-3) is instructed according to the whole network wind electricity digestion space and frequency modulation, calculates the whole network wind-powered electricity generation regulating command, calculation formula is as follows:
<mrow> <msubsup> <mi>I</mi> <mi>W</mi> <mrow> <mi>A</mi> <mi>l</mi> <mi>l</mi> </mrow> </msubsup> <mo>=</mo> <mi>max</mi> <mrow> <mo>(</mo> <mi>min</mi> <mo>(</mo> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>L</mi> </munderover> <msubsup> <mi>P</mi> <mrow> <mi>W</mi> <mo>,</mo> <mi>j</mi> </mrow> <mrow> <mi>A</mi> <mi>R</mi> <mi>E</mi> <mi>A</mi> </mrow> </msubsup> <mo>+</mo> <msub> <mi>&amp;alpha;P</mi> <mrow> <mi>A</mi> <mi>R</mi> <mi>R</mi> </mrow> </msub> <mo>,</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>L</mi> </munderover> <msubsup> <mi>P</mi> <mrow> <mi>A</mi> <mo>,</mo> <mi>j</mi> </mrow> <mrow> <mi>A</mi> <mi>R</mi> <mi>E</mi> <mi>A</mi> </mrow> </msubsup> </mrow> <mo>)</mo> <mo>,</mo> <msubsup> <mi>I</mi> <mi>W</mi> <mrow> <mi>P</mi> <mi>e</mi> <mi>a</mi> <mi>k</mi> </mrow> </msubsup> <mo>)</mo> </mrow> </mrow>
Wherein,For the whole network wind-powered electricity generation regulating command, PARRInstructed for the whole network frequency modulation, α shares coefficient for wind-powered electricity generation participation frequency modulation;
3) subdispatch center can be used according to the maximum of each province's tune wind-powered electricity generation virtual robot arm and contribute, and consider each province's tune wind-powered electricity generation virtual machine Group history power producing characteristics, distribute the wind-powered electricity generation regulating command of each provincial control centre;Comprise the following steps that:
3-1) calculate the adjusting power distribution of each province's tune wind-powered electricity generation virtual robot arm shares weight coefficient;
Save the new energy ultra-short term precision of prediction c for adjusting wind-powered electricity generation virtual robot arm jp,jIt is defined as follows:
<mrow> <msub> <mi>c</mi> <mrow> <mi>p</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>=</mo> <mn>1</mn> <mo>-</mo> <msqrt> <mfrac> <mrow> <munder> <mo>&amp;Sigma;</mo> <mi>D</mi> </munder> <msup> <mrow> <mo>(</mo> <mo>|</mo> <msub> <mi>P</mi> <mrow> <mi>p</mi> <mi>r</mi> <mi>e</mi> <mi>d</mi> <mi>i</mi> <mi>c</mi> <mi>t</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>P</mi> <mrow> <mi>a</mi> <mi>c</mi> <mi>t</mi> <mi>u</mi> <mi>a</mi> <mi>l</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>|</mo> <mo>/</mo> <msub> <mi>IC</mi> <mi>j</mi> </msub> <mo>)</mo> </mrow> <mn>2</mn> </msup> </mrow> <mi>D</mi> </mfrac> </msqrt> <mo>,</mo> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mn>...</mn> <mo>,</mo> <mi>L</mi> </mrow>
In formula, Ppredict,jBeing saved for the non-limit wind period adjusts the prediction of wind-powered electricity generation virtual robot arm j ultra-short terms to contribute, Pactual,jFor it is non-limit wind when Section, which saves, adjusts wind-powered electricity generation virtual robot arm j to send power in fact, and D limits wind period predicted time point quantity, IC to be in a few days non-jAdjust wind-powered electricity generation virtual to save Unit j installed capacitys;
Save the regulation performance score s for adjusting wind-powered electricity generation virtual robot arm jp,jThe province of chosen area control adjusts the modulability of wind-powered electricity generation virtual robot arm j Can evaluation index;
The ultra-short term precision of prediction a reference value for saving and adjusting wind-powered electricity generation virtual robot arm j is calculated respectivelyWith regulation performance score a reference value Expression formula is as follows:
<mrow> <msubsup> <mi>c</mi> <mrow> <mi>p</mi> <mo>,</mo> <mi>j</mi> </mrow> <mo>*</mo> </msubsup> <mo>=</mo> <mfrac> <msub> <mi>c</mi> <mrow> <mi>p</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <msub> <mover> <mi>c</mi> <mo>&amp;OverBar;</mo> </mover> <mrow> <mi>p</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> </mfrac> </mrow>
<mrow> <msubsup> <mi>s</mi> <mrow> <mi>p</mi> <mo>,</mo> <mi>j</mi> </mrow> <mo>*</mo> </msubsup> <mo>=</mo> <mfrac> <msub> <mi>s</mi> <mrow> <mi>p</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <msub> <mover> <mi>s</mi> <mo>&amp;OverBar;</mo> </mover> <mrow> <mi>p</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> </mfrac> </mrow>
Wherein,For cp,jWeekly or monthly average value,For sp,jWeekly or monthly average value;
Save the adjusting power distribution of tune wind-powered electricity generation virtual robot arm j shares weight coefficient WjCalculation expression is as follows:
<mrow> <msub> <mi>W</mi> <mi>j</mi> </msub> <mo>=</mo> <mfrac> <mrow> <msubsup> <mi>P</mi> <mrow> <mi>A</mi> <mo>,</mo> <mi>j</mi> </mrow> <mrow> <mi>A</mi> <mi>R</mi> <mi>E</mi> <mi>A</mi> </mrow> </msubsup> <mo>&amp;CenterDot;</mo> <mrow> <mo>(</mo> <mi>a</mi> <mo>&amp;CenterDot;</mo> <msubsup> <mi>c</mi> <mrow> <mi>p</mi> <mo>,</mo> <mi>j</mi> </mrow> <mo>*</mo> </msubsup> <mo>+</mo> <mi>b</mi> <mo>&amp;CenterDot;</mo> <msubsup> <mi>s</mi> <mrow> <mi>p</mi> <mo>,</mo> <mi>j</mi> </mrow> <mo>*</mo> </msubsup> <mo>)</mo> </mrow> </mrow> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>L</mi> </munderover> <msubsup> <mi>P</mi> <mrow> <mi>A</mi> <mo>,</mo> <mi>j</mi> </mrow> <mrow> <mi>A</mi> <mi>R</mi> <mi>E</mi> <mi>A</mi> </mrow> </msubsup> <mo>&amp;CenterDot;</mo> <mrow> <mo>(</mo> <mi>a</mi> <mo>&amp;CenterDot;</mo> <msubsup> <mi>c</mi> <mrow> <mi>p</mi> <mo>,</mo> <mi>j</mi> </mrow> <mo>*</mo> </msubsup> <mo>+</mo> <mi>b</mi> <mo>&amp;CenterDot;</mo> <msubsup> <mi>s</mi> <mrow> <mi>p</mi> <mo>,</mo> <mi>j</mi> </mrow> <mo>*</mo> </msubsup> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>,</mo> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mn>...</mn> <mo>,</mo> <mi>L</mi> </mrow>
Wherein, a and b is respectively precision of prediction index weights coefficient and regulation performance index weights coefficient;
3-2) distribute the wind-powered electricity generation regulating command of the wind-powered electricity generation virtual robot arm of each provincial control centre;
Save the regulating command I for adjusting wind-powered electricity generation virtual robot arm jW,jCalculation formula is as follows:
<mrow> <msub> <mi>I</mi> <mrow> <mi>W</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>=</mo> <msubsup> <mi>I</mi> <mi>W</mi> <mrow> <mi>A</mi> <mi>l</mi> <mi>l</mi> </mrow> </msubsup> <mo>&amp;times;</mo> <msub> <mi>W</mi> <mi>j</mi> </msub> <mo>,</mo> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mn>...</mn> <mo>,</mo> <mi>L</mi> </mrow>
4) according to regulating command data and metric data, the peak regulation increment life insurance and frequency modulation for assessing each province's tune wind-powered electricity generation virtual robot arm increase Generated energy;Comprise the following steps that:
4-1) matching saves the regulating command for adjusting wind-powered electricity generation virtual robot arm in sequential and reality is contributed, and obtains province's tune wind-powered electricity generation virtual robot arm It is actual to contribute and corresponding response time when saving the regulating command degree of correlation maximum for adjusting wind-powered electricity generation virtual robot arm;
The order whole continuous regulation and control period is a time window, and the reality for adjusting wind-powered electricity generation virtual robot arm j will be saved under the time window Contribute and carry out transverse translation along time shaft, the actual output for adjusting wind-powered electricity generation virtual robot arm j is saved after being translated and is saved and adjusts wind-powered electricity generation virtual The corresponding response time of regulating command maximum relation degree of unit j;Wherein, maximum relation degree rjCalculation formula is as follows:
<mrow> <msub> <mi>r</mi> <mi>j</mi> </msub> <mo>=</mo> <munder> <mi>max</mi> <mrow> <msub> <mi>&amp;delta;</mi> <mi>j</mi> </msub> <mo>=</mo> <mn>0</mn> <mo>-</mo> <mn>5</mn> <mi>min</mi> </mrow> </munder> <mi>R</mi> <mrow> <mo>(</mo> <msub> <mi>I</mi> <mrow> <mi>W</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>,</mo> <msubsup> <mi>P</mi> <mrow> <mi>W</mi> <mo>,</mo> <mi>j</mi> </mrow> <mrow> <mi>A</mi> <mi>R</mi> <mi>E</mi> <mi>A</mi> </mrow> </msubsup> <mo>(</mo> <mrow> <mi>t</mi> <mo>+</mo> <msub> <mi>&amp;delta;</mi> <mi>j</mi> </msub> </mrow> <mo>)</mo> <mo>)</mo> </mrow> <mo>,</mo> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mn>...</mn> <mo>,</mo> <mi>L</mi> </mrow>
Wherein, δjAdjust the corresponding response time of wind-powered electricity generation virtual robot arm j maximum relation degrees to save, R (x, y) for ask for vector x and The function of the vectorial y degrees of correlation;IW,j(t) the province's tune wind-powered electricity generation virtual robot arm j regulating commands for being moment t,For moment t's Save and adjust wind-powered electricity generation virtual robot arm j is actual to contribute;
4-2) calculate the increment life insurance for saving the increment life insurance for adjusting wind-powered electricity generation virtual robot arm to participate in peak regulation and frequency modulation;
It will save and adjust wind-powered electricity generation virtual robot arm j is actual to contributeWind instruction P is manually limited with the simulation for saving tune wind-powered electricity generation virtual robot arm jC,jPress According to step 4-1) the response time δ that is calculatedjTranslated, respectively obtain the province tune wind-powered electricity generation virtual robot arm j after translation Actual outputThe simulation of wind-powered electricity generation virtual robot arm j is adjusted manually to limit wind instruction with the province after translation
Save the peak regulation increment life insurance for adjusting wind-powered electricity generation virtual robot arm jWith frequency modulation increment life insuranceCalculation expression difference it is as follows:
<mrow> <msubsup> <mi>E</mi> <mi>j</mi> <mrow> <mi>P</mi> <mi>e</mi> <mi>a</mi> <mi>k</mi> </mrow> </msubsup> <mo>=</mo> <mo>&amp;Sigma;</mo> <mrow> <mo>(</mo> <msubsup> <mi>P</mi> <mrow> <mi>W</mi> <mo>,</mo> <mi>j</mi> </mrow> <mrow> <mi>A</mi> <mi>R</mi> <mi>E</mi> <mi>A</mi> <mo>,</mo> <mo>*</mo> </mrow> </msubsup> <mo>-</mo> <msubsup> <mi>P</mi> <mrow> <mi>C</mi> <mo>,</mo> <mi>j</mi> </mrow> <mo>*</mo> </msubsup> <mo>)</mo> </mrow> <mfrac> <mrow> <msubsup> <mi>I</mi> <mi>W</mi> <mrow> <mi>P</mi> <mi>e</mi> <mi>a</mi> <mi>k</mi> </mrow> </msubsup> <mo>&amp;times;</mo> <msub> <mi>W</mi> <mi>j</mi> </msub> <mo>-</mo> <msubsup> <mi>P</mi> <mrow> <mi>C</mi> <mo>,</mo> <mi>j</mi> </mrow> <mo>*</mo> </msubsup> </mrow> <mrow> <msub> <mi>I</mi> <mrow> <mi>W</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>-</mo> <msubsup> <mi>P</mi> <mrow> <mi>C</mi> <mo>,</mo> <mi>j</mi> </mrow> <mo>*</mo> </msubsup> </mrow> </mfrac> <mi>&amp;Delta;</mi> <mi>t</mi> <mo>,</mo> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mn>...</mn> <mo>,</mo> <mi>L</mi> </mrow>
<mrow> <msubsup> <mi>E</mi> <mi>j</mi> <mrow> <mi>Re</mi> <mi>g</mi> </mrow> </msubsup> <mo>=</mo> <mi>&amp;Sigma;</mi> <mrow> <mo>(</mo> <msubsup> <mi>P</mi> <mrow> <mi>W</mi> <mo>,</mo> <mi>j</mi> </mrow> <mrow> <mi>A</mi> <mi>R</mi> <mi>E</mi> <mi>A</mi> <mo>,</mo> <mo>*</mo> </mrow> </msubsup> <mo>-</mo> <msubsup> <mi>P</mi> <mrow> <mi>C</mi> <mo>,</mo> <mi>j</mi> </mrow> <mo>*</mo> </msubsup> <mo>)</mo> </mrow> <mfrac> <mrow> <msub> <mi>I</mi> <mrow> <mi>W</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>-</mo> <msubsup> <mi>I</mi> <mi>W</mi> <mrow> <mi>P</mi> <mi>e</mi> <mi>a</mi> <mi>k</mi> </mrow> </msubsup> <mo>&amp;times;</mo> <msub> <mi>W</mi> <mi>j</mi> </msub> </mrow> <mrow> <msub> <mi>I</mi> <mrow> <mi>W</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>-</mo> <msubsup> <mi>P</mi> <mrow> <mi>C</mi> <mo>,</mo> <mi>j</mi> </mrow> <mo>*</mo> </msubsup> </mrow> </mfrac> <mi>&amp;Delta;</mi> <mi>t</mi> <mo>,</mo> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mn>...</mn> <mo>,</mo> <mi>L</mi> </mrow>
Wherein, Δ t is an AGC instruction cycle duration.
5. method as claimed in claim 4, it is characterised in that the step 2-1) in the whole network wind-powered electricity generation power generation indexCalculate Method is as follows:
<mrow> <msubsup> <mi>I</mi> <mi>W</mi> <mrow> <mi>P</mi> <mi>e</mi> <mi>a</mi> <mi>k</mi> </mrow> </msubsup> <mo>=</mo> <msub> <mi>V</mi> <mi>f</mi> </msub> <mo>-</mo> <msub> <mi>P</mi> <mrow> <mi>i</mi> <mi>t</mi> <mi>e</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>V</mi> <mrow> <mi>h</mi> <mo>-</mo> <mi>r</mi> <mi>e</mi> <mi>g</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>V</mi> <mrow> <mi>r</mi> <mo>-</mo> <mi>r</mi> <mi>e</mi> <mi>g</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>V</mi> <mrow> <mi>r</mi> <mo>-</mo> <mi>p</mi> <mi>l</mi> <mi>a</mi> <mi>n</mi> <mi>t</mi> </mrow> </msub> <mo>+</mo> <msub> <mi>V</mi> <mrow> <mi>p</mi> <mi>u</mi> <mi>m</mi> <mi>p</mi> </mrow> </msub> </mrow>
Wherein, VfFor ultra-short term, PtieFor inter- regional dispatch plan, Vh-regIt may bring up for region system fire tuning electricity minimum Power, Vr-regFor reserved lower spinning reserve, Vr-plantContribute for power plant for self-supply, VpumpDraw water generated output for hydroenergy storage station.
6. method as claimed in claim 4, it is characterised in that the step 2-2-2) in judge whether wind-powered electricity generation is in region Output ramp up, specific method are as follows:
Calculate the whole network wind-powered electricity generation power generation indexStability bandwidth, expression formula is as follows:
<mrow> <msub> <mi>VR</mi> <mi>W</mi> </msub> <mo>=</mo> <mfrac> <mrow> <mo>|</mo> <msubsup> <mi>I</mi> <mrow> <mi>W</mi> <mo>,</mo> <mi>f</mi> </mrow> <mrow> <mi>P</mi> <mi>e</mi> <mi>a</mi> <mi>k</mi> </mrow> </msubsup> <mo>-</mo> <msubsup> <mi>I</mi> <mi>W</mi> <mrow> <mi>P</mi> <mi>e</mi> <mi>a</mi> <mi>k</mi> </mrow> </msubsup> <mo>|</mo> </mrow> <msubsup> <mi>I</mi> <mi>W</mi> <mrow> <mi>P</mi> <mi>e</mi> <mi>a</mi> <mi>k</mi> </mrow> </msubsup> </mfrac> <mo>&amp;times;</mo> <mn>100</mn> <mi>%</mi> </mrow>
Wherein,For the whole network generate electricity index next time point predicted value;
If VRW≤ 5%, then wind-powered electricity generation is not in output ramp up in region;Otherwise wind-powered electricity generation is in output ramp up in region.
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