CN108054790A - The active method for real-time optimization control of wind light generation cluster based on prediction output Approach by inchmeal - Google Patents
The active method for real-time optimization control of wind light generation cluster based on prediction output Approach by inchmeal Download PDFInfo
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- 238000005457 optimization Methods 0.000 title claims abstract description 20
- 238000000034 method Methods 0.000 title claims abstract description 17
- 238000013459 approach Methods 0.000 title claims abstract description 13
- 230000000452 restraining effect Effects 0.000 claims abstract description 7
- 230000005611 electricity Effects 0.000 claims description 11
- 238000012937 correction Methods 0.000 claims description 6
- 230000001960 triggered effect Effects 0.000 claims description 4
- 230000035945 sensitivity Effects 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 2
- 238000010248 power generation Methods 0.000 abstract description 7
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/48—Controlling the sharing of the in-phase component
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
Abstract
The invention discloses a kind of active method for real-time optimization control of wind light generation cluster based on prediction output Approach by inchmeal, belong to Power System and its Automation technical field.The present invention performs the variation tendency of the actual output in honourable power station and instruction difference in the period according to instruction, progressively to correct the prediction of the output in honourable power station.Based on linear programming algorithm, it is distribution foundation according to revised output predicted value, consider to influence the precision of prediction, Control performance standard, factor that instruct distribution, light Least-cost is abandoned as target to abandon wind, considering security scleronomic constraint, overall peak regulation constraint, honourable independent restraining, realize the optimization distribution of the honourable power station power generation command based on three public principles.The present invention takes full advantage of the generating capacity in honourable power station and the receiving ability of power grid, solves the problem of precision of prediction of generally existing in wind light generation cluster cutting-in control is poor, and wind light generation ability, power grid receive ability to underuse.
Description
Technical field
The invention belongs to Power System and its Automation technical field more particularly to one kind based on prediction output Approach by inchmeal
The active method for real-time optimization control of wind light generation cluster.
Background technology
The power generation characteristics of the new energy power stations such as wind-powered electricity generation, photovoltaic have the characteristics that fluctuation, randomness and intermittence, in order to true
The electric power in honourable power station is fully received on the premise of protecting electricity net safety stable, power grid regulation center not only needs to be grasped honourable power station
Grid-connected power prediction information, and will the grid-connected power in honourable power station can be controlled in real time.National standardization management
The GB/T 19963-2011 that the committee promulgates《Wind power plant access power system technology regulation》It is distinctly claimed that " wind power plant should configure
Active power controller system, possesses active power regulation ability, receive and active power that automated execution traffic department sends and
The control instruction of active power variation, it is ensured that active power of wind power field and active power variation are transported according to the set-point of traffic department
Row.In power system accident or in emergency circumstances, wind power plant should quickly control its defeated according to the instruction of electric power system dispatching department
The active power gone out ".What National Energy Board in 2011 promulgated《Wind farm power prediction forecast management Tentative Measures》In clearly " institute
There is the ability that the wind power plant being incorporated into the power networks should all possess wind power prediction forecast, and it is pre- to carry out wind power prediction on request
Report ", and propose wind farm power prediction forecast performance assessment criteria.National standard in 2012《Photo-voltaic power generation station accesses electric system
Technical stipulation》Draft for deliberation is by experts' evaluation, wherein pre- to the active power and power of photo-voltaic power generation station access electric system
Regulation has also been made in survey etc..
Document " large construction cluster wind-powered electricity generation active intelligence control system design " (Automation of Electric Systems, 2010 years volume 34 the
17 phases) propose two kinds of active power for wind power control models, when maximum output control model, according to power grid difference passway for transmitting electricity wind
Electric receiving ability is determined to access the maximum output upper limit value of the wind farm group of same passage, calculated further according to the rule set offline
The maximum output upper limit value of wherein each wind power plant；Second is that output tracing mode, wind power plant real-time tracking power generation command is had
Work(Power Control.
Patent application " main website end wind power station active power control method after wind-electricity integration " (application number：
201010555191.X) propose that Wind turbines " directly participate in frequency modulation " based on " power generation command tracking " based on wind power prediction
Supplemented by regional power grid active power dispatch frame, be primarily based on stable cross section limit requirements and calculate the wind for belonging to same passway for transmitting electricity
The gross capability limit value of electric field, then share factor pair by the synthesis of evaluation wind power plant prediction deviation, degree of regulation and governing speed etc.
The output of each wind power plant is shared.
Patent application " dynamic of active power of wind power field divides group control method " (application number：201210202621.9) in order to
The adjusting number of Wind turbines is reduced, reduces the power swing of Wind turbines, it is proposed that according to super short-period wind power prediction pair
Wind turbines carry out point group and distribution power method by ultra-short term changed power mode.
But existing technological achievement does not perform the actual output of period scene electric station grid connection and instruction difference according to instruction
Output predicted value is corrected, does not also consider electricity net safety stable constraint, honourable independent restraining, peak regulation constraint, realization is abandoned
Wind abandons the optimization distribution of the honourable power station active command of the minimum target of light.
The content of the invention
The purpose of the present invention is：In view of the deficiencies of the prior art, a kind of scene based on prediction output Approach by inchmeal is provided
Generate electricity the active method for real-time optimization control of cluster.This method using revised output predicted value as basic distribution foundation, then
Further consider precision of prediction, the regulation performance index in honourable power station, to influence the allocation proportion of active command, consider electricity
The constraint of net safety and stability, honourable independent restraining, whole peak regulation constraint, on the premise of above-mentioned constraint is met, light is abandoned most to abandon wind
Small is target, realizes that the honourable output of power station based on three public dispatching principles maximumlly optimizes distribution and closed-loop control.
The purpose of the present invention is being achieved through the following technical solutions, comprise the following steps：
1) calculated if first, be then directly entered step 3)；Otherwise, each honourable power station in the period is performed according to instruction
The variation tendency contributed in real time between active command, using the strategy of Approach by inchmeal, the output for correcting each honourable power station is pre-
Measured value；
2) the calculating trigger condition of detection wind light generation cluster active optimization control, the calculating trigger condition include in real time
Reach calculating cycle triggering, manually triggering and triggered by the grid-connected constraint of violation and the event formed of rationing the power supply, if meeting any meter
Trigger condition is calculated, then is entered step 3)；Otherwise, return to step 1)；
3) using the output predicted value in each honourable power station as distribution foundation, consider to influence precision of prediction and the control of instruction distribution
Performance indicator processed abandons light Least-cost as target to abandon wind, and meter and the relevant grid-connected constraint of wind light generation cluster are established and met about
The active optimization Controlling model of beam, the relevant grid-connected constraint of wind light generation cluster include safety and stability constraint, overall peak regulation
Constraint, honourable independent restraining and the constraint of the subregion manual command upper limit；
4) based on linear programming algorithm, the optimization distribution of wind light generation cluster active command is carried out, provides each wind-light-electricity
The epicycle active command stood.
Furthermore, the process that the output predicted value in each honourable power station is corrected in step 1) is as follows：
According to the estimated value of the real-time output predicted value contributed and each honourable power station is calculated by formula (1), further according to pre-
Survey the correction value that precision calculates the output predicted value in each honourable power station by formula (2)：
In formula (1), p 'p.j、pr.jAnd pc.j.t-1The estimated value of the output predicted value in respectively j-th honourable power station, reality
When contribute and upper wheel active command, k be calculate output predicted value estimated value estimation coefficient；
pp.j=Ap.jp′p.j (2)
In formula (2), pp.jFor the correction value of the output predicted value in j-th of honourable power station, Ap.jFor j-th honourable power station
Precision of prediction.
Furthermore, triggered for the grid-connected constraint of violation in step 2) and the event for composition of rationing the power supply, wherein violating simultaneously
The event triggering of net constraint determines that the event triggering rationed the power supply is determined by formula (4) by formula (3)：
In formula (3), M be the relevant grid-connected constraint of wind light generation cluster sum, ηiFor i-th of wind light generation collection faciation
The nargin for the grid-connected constraint closed, value range is in [- 1,1], f (ηi) it is corresponding ηiValue function, η is to violate grid-connected constraint
The state value of event triggering, if any ηiThen it is less than 1 less than or equal to 0, η, representative has grid-connected constraint to be breached, and meets event and touches
Clockwork spring part；
In formula (4), lpThe ratio for the electrical power that is limited, N be wind light generation cluster in honourable power station sum, lnumFor
It rations the power supply in wind light generation cluster the accounting in power station, ε is the accounting threshold value (generally taking 10%) of setting, wherein lnumPass through formula
(5) calculate：
In formula (5), ljFor the mark of rationing the power supply in j-th of honourable power station, determined by formula (6)：
If lpMore than the threshold value (generally 30%) of setting, that is, judge that wind light generation cluster, which occurs, rations the power supply, and meets event
Trigger condition.
Furthermore, in the step 3), the active optimization Controlling model for meeting and constraining is established by formula (7)：
In formula (7), wjWind of abandoning for j-th of honourable power station abandons light cost；pp.j.1Output for j-th of honourable power station is pre-
Measured value, when to calculate for the first time, pp.j.1For the initial value of the output predicted value in j-th of honourable power station, when not being to calculate for the first time,
pp.j.1Take pp.j；pc.jFor the epicycle active command in j-th of honourable power station；Pp.sumIt is total for the output predicted value of wind light generation cluster
With pass throughIt calculates, pp.j.1/Pp.sumFor the distribution factor according to wind-powered electricity generation output of power station prediction value decision, Ac.j、
Aother.jThe Control performance standard and other distribution factors in respectively j-th honourable power station；k1、k2、k3Respectively distribution factor,
The Control performance standard weight coefficient shared when distributing instruction with other distribution factors；ξi.jIt is j-th of honourable power station for the
The active po wer sensitivity of the safety margin of the relevant grid-connected constraint of i wind light generation cluster.
Compared with the prior art, beneficial effects of the present invention are embodied in：The present invention is not high for honourable precision of prediction at present
The problem of, by performing the analysis of the actual output in honourable power station and the variation tendency of instruction difference in the period to instruction, by
The prediction that step corrects honourable power station is contributed.Based on linear programming algorithm, it is distribution foundation according to revised output predicted value, examines
Consider the factors such as precision of prediction, the Control performance standard for influencing instruction distribution, abandon light Least-cost as target to abandon wind, considering security
The grid-connected constraints such as scleronomic constraint, overall peak regulation constraint, honourable independent restraining, realize the honourable power station power generation based on three public principles
The optimization distribution of instruction, takes full advantage of the generating capacity in honourable power station and the receiving ability of power grid, solves wind light generation collection
The problem of precision of prediction of generally existing is poor in group's cutting-in control, and wind light generation ability, power grid receive ability to underuse.
Description of the drawings
Fig. 1 is the flow diagram of the embodiment of the present invention.
Specific embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.
Embodiment 1：
One embodiment of the present of invention discloses a kind of active reality of wind light generation cluster based on prediction output Approach by inchmeal
When optimal control method, implementation step is as shown in Figure 1.
Step 1 describes in Fig. 1, is calculated if first, is then directly entered step 3；Otherwise, the period is performed according to instruction
The real-time variation tendency contributed between active command in interior each honourable power station, using the strategy of Approach by inchmeal, is corrected each
The output predicted value in honourable power station.Wherein, the process for correcting the output predicted value in each honourable power station is as follows：
According to the estimated value of the real-time output predicted value contributed and each honourable power station is calculated by formula (1), further according to pre-
Survey the correction value that precision calculates the output predicted value in each honourable power station by formula (2)：
In formula (1), p 'p.j、pr.jAnd pc.j.t-1The estimated value of the output predicted value in respectively j-th honourable power station, reality
When contribute and upper wheel active command, k be calculate output predicted value estimated value estimation coefficient；
pp.j=Ap.jp′p.j (2)
In formula (2), pp.jFor the correction value of the output predicted value in j-th of honourable power station, Ap.jFor j-th honourable power station
Precision of prediction.
Step 2 describes in Fig. 1, detects the calculating trigger condition of wind light generation cluster active optimization control, institute in real time
Stating calculating trigger condition includes reaching calculating cycle triggering, manually triggering and by the grid-connected constraint of violation and the event formed of rationing the power supply
Triggering, if meeting any calculating trigger condition, enters step 3；Otherwise, return to step 1.For violating grid-connected constraint and rationing the power supply
The event triggering of composition, wherein the event triggering for violating grid-connected constraint is determined by formula (3), the event triggering rationed the power supply passes through
Formula (4) determines：
In formula (3), M be the relevant grid-connected constraint of wind light generation cluster sum, ηiFor i-th of wind light generation collection faciation
The nargin for the grid-connected constraint closed, value range is in [- 1,1], f (ηi) it is corresponding ηiValue function, η is to violate grid-connected constraint
The state value of event triggering, if any ηiThen it is less than 1 less than or equal to 0, η, representative has grid-connected constraint to be breached, and meets event and touches
Clockwork spring part；
In formula (4), lpThe ratio for the electrical power that is limited, N be wind light generation cluster in honourable power station sum, lnumFor
It rations the power supply in wind light generation cluster the accounting in power station, ε is the accounting threshold value (generally taking 10%) of setting, wherein lnumPass through formula
(5) calculate：
In formula (5), ljFor the mark of rationing the power supply in j-th of honourable power station, determined by formula (6)：
If lpMore than the threshold value (generally 30%) of setting, that is, judge that wind light generation cluster, which occurs, rations the power supply, and meets event
Trigger condition.
Step 3 describes in Fig. 1, using the output predicted value in each honourable power station as distribution foundation, considers to influence instruction
The precision of prediction and Control performance standard of distribution abandon light Least-cost as target to abandon wind, and meter and wind light generation cluster are relevant
Grid-connected constraint, establishes the active optimization Controlling model for meeting constraint, and the relevant grid-connected constraint of wind light generation cluster includes peace
Full scleronomic constraint, overall peak regulation constraint, honourable independent restraining and the constraint of the subregion manual command upper limit.Specifically, formula is passed through
(7) come establish meet constraint active optimization Controlling model：
In formula (7), wjWind of abandoning for j-th of honourable power station abandons light cost；pp.j.1Output for j-th of honourable power station is pre-
Measured value, when to calculate for the first time, pp.j.1For the initial value of the output predicted value in j-th of honourable power station, when not being to calculate for the first time,
pp.j.1Take pp.j；pc.jFor the epicycle active command in j-th of honourable power station；Pp.sumIt is total for the output predicted value of wind light generation cluster
With pass throughIt calculates, pp.j.1/Pp.sumFor the distribution factor according to wind-powered electricity generation output of power station prediction value decision, Ac.j、
Aother.jThe Control performance standard and other distribution factors in respectively j-th honourable power station；k1、k2、k3Respectively distribution factor,
The Control performance standard weight coefficient shared when distributing instruction with other distribution factors；ξi.jIt is j-th of honourable power station for the
The active po wer sensitivity of the safety margin of the relevant grid-connected constraint of i wind light generation cluster.
Step 4 describes in Fig. 1, based on linear programming algorithm, carries out the optimization point of wind light generation cluster active command
Match somebody with somebody, provide the epicycle active command in each honourable power station.
Although the present invention has been described by way of example and in terms of the preferred embodiments, embodiment is not for limiting the present invention's.Not
In the spirit and scope for departing from the present invention, any equivalence changes done or retouching also belong to the protection domain of the present invention.Cause
This protection scope of the present invention should be using the content that claims hereof is defined as standard.
Claims (4)
1. the active method for real-time optimization control of wind light generation cluster based on prediction output Approach by inchmeal, which is characterized in that including
Following steps：
1) calculated if first, be then directly entered step 3)；Otherwise, the real-time of each honourable power station in the period is performed according to instruction
The variation tendency contributed between active command, using the strategy of Approach by inchmeal, the output predicted value in each honourable power station of amendment；
2) the calculating trigger condition of detection wind light generation cluster active optimization control, the calculating trigger condition include reaching in real time
It calculating cycle triggering, manually triggering and is triggered by violating grid-connected constraint and the event that forms of rationing the power supply, is touched if meeting any calculate
3) clockwork spring part then enters step；Otherwise, return to step 1)；
3) using the output predicted value in each honourable power station as distribution foundation, consider to influence the precision of prediction and controlling of instruction distribution
Energy index, light Least-cost is abandoned as target to abandon wind, and meter and the relevant grid-connected constraint of wind light generation cluster establish and meet constraint
Active optimization Controlling model, the relevant grid-connected constraint of wind light generation cluster includes safety and stability constraint, overall peak regulation constrains,
Honourable independent restraining and the constraint of the subregion manual command upper limit；
4) based on linear programming algorithm, the optimization distribution of wind light generation cluster active command is carried out, provides each honourable power station
Epicycle active command.
2. the wind light generation cluster active real-time optimal control side according to claim 1 based on prediction output Approach by inchmeal
Method, which is characterized in that the process that the output predicted value in each honourable power station is corrected in step 1) is as follows：
According to the estimated value of the real-time output predicted value contributed and each honourable power station is calculated by formula (1), further according to prediction essence
Degree calculates the correction value of the output predicted value in each honourable power station by formula (2)：
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In formula (1), p 'p.j、pr.jAnd pc.j.t-1The estimated value of the output predicted value in respectively j-th honourable power station is contributed in real time
With upper wheel active command, k is the estimation coefficient for the estimated value for calculating output predicted value；
pp.j=Ap.jp′p.j (2)
In formula (2), pp.jFor the correction value of the output predicted value in j-th of honourable power station, Ap.jFor the prediction in j-th of honourable power station
Precision.
3. the wind light generation cluster active real-time optimal control side according to claim 2 based on prediction output Approach by inchmeal
Method, which is characterized in that triggered for the grid-connected constraint of violation in step 2) and the event for composition of rationing the power supply, wherein violating grid-connected constraint
Event triggering determine that the event triggering rationed the power supply is determined by formula (4) by formula (3)：
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In formula (3), M be the relevant grid-connected constraint of wind light generation cluster sum, ηiIt is relevant for i-th of wind light generation cluster
The nargin of grid-connected constraint, value range is in [- 1,1], f (ηi) it is corresponding ηiValue function, η is the event for violating grid-connected constraint
The state value of triggering, if any ηiThen it is less than 1 less than or equal to 0, η, representative has grid-connected constraint to be breached, and meets event triggering item
Part；
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In formula (4), lpThe ratio for the electrical power that is limited, N be wind light generation cluster in honourable power station sum, lnumIt is sent out for scene
It rations the power supply in electric cluster the accounting in power station, ε is the accounting threshold value of setting, wherein lnumIt is calculated by formula (5)：
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<msub>
<mi>l</mi>
<mi>j</mi>
</msub>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>5</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula (5), ljFor the mark of rationing the power supply in j-th of honourable power station, determined by formula (6)：
<mrow>
<msub>
<mi>l</mi>
<mi>j</mi>
</msub>
<mo>=</mo>
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<mn>1</mn>
</mtd>
<mtd>
<mrow>
<msub>
<mi>p</mi>
<mrow>
<mi>c</mi>
<mo>.</mo>
<mi>j</mi>
<mo>.</mo>
<mi>t</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msub>
<mo>&le;</mo>
<msub>
<mi>p</mi>
<mrow>
<mi>p</mi>
<mo>.</mo>
<mi>j</mi>
</mrow>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mrow>
<msub>
<mi>p</mi>
<mrow>
<mi>c</mi>
<mo>.</mo>
<mi>j</mi>
<mo>.</mo>
<mi>t</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msub>
<mo>></mo>
<msub>
<mi>p</mi>
<mrow>
<mi>p</mi>
<mo>.</mo>
<mi>j</mi>
</mrow>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>6</mn>
<mo>)</mo>
</mrow>
</mrow>
If lpMore than the threshold value of setting, that is, judge that wind light generation cluster, which occurs, rations the power supply, and meets trigger conditions.
4. the wind light generation cluster active real-time optimal control side according to claim 3 based on prediction output Approach by inchmeal
Method, which is characterized in that in the step 3), the active optimization Controlling model for meeting and constraining is established by formula (7)：
<mrow>
<mo>{</mo>
<mtable>
<mtr>
<mtd>
<mrow>
<mi>m</mi>
<mi>i</mi>
<mi>n</mi>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>N</mi>
</munderover>
<msub>
<mi>w</mi>
<mi>j</mi>
</msub>
<mfrac>
<mrow>
<msub>
<mi>k</mi>
<mn>1</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>p</mi>
<mrow>
<mi>p</mi>
<mo>.</mo>
<mi>j</mi>
<mn>.1</mn>
</mrow>
</msub>
<mo>/</mo>
<msub>
<mi>P</mi>
<mrow>
<mi>p</mi>
<mo>.</mo>
<mi>s</mi>
<mi>u</mi>
<mi>m</mi>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<mo>+</mo>
<msub>
<mi>k</mi>
<mn>2</mn>
</msub>
<msub>
<mi>A</mi>
<mrow>
<mi>c</mi>
<mo>.</mo>
<mi>j</mi>
</mrow>
</msub>
<mo>+</mo>
<msub>
<mi>k</mi>
<mn>3</mn>
</msub>
<msub>
<mi>A</mi>
<mrow>
<mi>o</mi>
<mi>t</mi>
<mi>h</mi>
<mi>e</mi>
<mi>r</mi>
<mo>.</mo>
<mi>j</mi>
</mrow>
</msub>
</mrow>
<mrow>
<msub>
<mi>k</mi>
<mn>1</mn>
</msub>
<mo>+</mo>
<msub>
<mi>k</mi>
<mn>2</mn>
</msub>
<mo>+</mo>
<msub>
<mi>k</mi>
<mn>3</mn>
</msub>
</mrow>
</mfrac>
<mrow>
<mo>(</mo>
<msub>
<mi>p</mi>
<mrow>
<mi>p</mi>
<mo>.</mo>
<mi>j</mi>
<mn>.1</mn>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>p</mi>
<mrow>
<mi>c</mi>
<mo>.</mo>
<mi>j</mi>
</mrow>
</msub>
<mo>)</mo>
</mrow>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mtable>
<mtr>
<mtd>
<mrow>
<mi>s</mi>
<mo>.</mo>
<mi>t</mi>
<mo>.</mo>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>p</mi>
<mrow>
<mi>c</mi>
<mo>.</mo>
<mi>j</mi>
</mrow>
</msub>
<mo>&le;</mo>
<msub>
<mi>p</mi>
<mrow>
<mi>p</mi>
<mo>.</mo>
<mi>j</mi>
<mn>.1</mn>
</mrow>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mtd>
</mtr>
<mtr>
<mtd>
<mtable>
<mtr>
<mtd>
<mrow>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>N</mi>
</munderover>
<mrow>
<mo>(</mo>
<msub>
<mi>p</mi>
<mrow>
<mi>c</mi>
<mo>.</mo>
<mi>j</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>p</mi>
<mrow>
<mi>r</mi>
<mo>.</mo>
<mi>j</mi>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<mo>*</mo>
<msub>
<mi>&xi;</mi>
<mrow>
<mi>i</mi>
<mo>.</mo>
<mi>j</mi>
</mrow>
</msub>
<mo>+</mo>
<msub>
<mi>&eta;</mi>
<mi>i</mi>
</msub>
<mo>></mo>
<mn>0</mn>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mn>3</mn>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<mi>M</mi>
</mrow>
</mtd>
</mtr>
</mtable>
</mtd>
</mtr>
</mtable>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>7</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula (7), wjWind of abandoning for j-th of honourable power station abandons light cost；pp.j.1For the output prediction in j-th of honourable power station
Value, when to calculate for the first time, pp.j.1For the initial value of the output predicted value in j-th of honourable power station, when not being to calculate for the first time,
pp.j.1Take pp.j；pc.jFor the epicycle active command in j-th of honourable power station；Pp.sumIt is total for the output predicted value of wind light generation cluster
With pass throughIt calculates, pp.j.1/Pp.sumFor the distribution factor according to wind-powered electricity generation output of power station prediction value decision, Ac.j、
Aother.jThe Control performance standard and other distribution factors in respectively j-th honourable power station；k1、k2、k3Respectively distribution factor,
The Control performance standard weight coefficient shared when distributing instruction with other distribution factors；ξi.jIt is j-th of honourable power station for the
The active po wer sensitivity of the safety margin of the relevant grid-connected constraint of i wind light generation cluster.
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| WO2020088206A1 (en) * | 2018-10-31 | 2020-05-07 | 国电南瑞科技股份有限公司 | Weight and constraint associated adjustment-based real-time power generation control optimization decision method for power grid |
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| CN113054688A (en) * | 2021-04-06 | 2021-06-29 | 华中科技大学 | Renewable energy cluster output distributed coordination control method considering uncertainty |
| CN114070201A (en) * | 2021-12-06 | 2022-02-18 | 国网河北省电力有限公司经济技术研究院 | Distributed photovoltaic monitoring control system |
| CN114070201B (en) * | 2021-12-06 | 2024-03-15 | 国网河北省电力有限公司经济技术研究院 | Distributed photovoltaic monitoring control system |
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