CN107968442A - A kind of power forecasting method in the new energy region based on Rolling optimal strategy - Google Patents
A kind of power forecasting method in the new energy region based on Rolling optimal strategy Download PDFInfo
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- CN107968442A CN107968442A CN201711386329.6A CN201711386329A CN107968442A CN 107968442 A CN107968442 A CN 107968442A CN 201711386329 A CN201711386329 A CN 201711386329A CN 107968442 A CN107968442 A CN 107968442A
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- 238000005096 rolling process Methods 0.000 title claims abstract description 25
- 238000013277 forecasting method Methods 0.000 title claims abstract description 10
- 238000000034 method Methods 0.000 claims abstract description 14
- 230000005622 photoelectricity Effects 0.000 claims description 70
- 230000005684 electric field Effects 0.000 claims description 51
- 230000003287 optical effect Effects 0.000 claims description 35
- 238000010248 power generation Methods 0.000 claims description 14
- 230000005611 electricity Effects 0.000 claims description 11
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- 238000011217 control strategy Methods 0.000 claims description 2
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- 238000005516 engineering process Methods 0.000 abstract description 7
- 238000005457 optimization Methods 0.000 abstract description 6
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- 230000000295 complement effect Effects 0.000 abstract description 4
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- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
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- 238000005243 fluidization Methods 0.000 description 1
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Classifications
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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
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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
A kind of power forecasting method in the new energy region based on Rolling optimal strategy is provided in the embodiment of the present invention, to build rolling scheduling, Real-Time Scheduling and the space-time cooperative Scheduling System controlled in real time.The present invention dissolves the control technology of a large amount of new energy after large-scale distributed power grid to realize as target to greatest extent, and using new energy regional prediction optimisation strategy as research object, the strategy based on rolling optimization predicts new energy area power through row.According to the scheduling method of " multi-source is complementary, multilevel coordination, refines step by step ", structure rolling scheduling, Real-Time Scheduling and the space-time cooperative Scheduling System controlled in real time.Rolling planning link is coordinated with looking back by itself prediction, has the ability in full control zone and all the period of time optimizing, is the basis of active power dispatch.
Description
Technical field
This disclosure relates to the electric powder prediction of new energy area power, more particularly to it is a kind of based on Rolling optimal strategy
The power forecasting method in new energy region.
Background technology
At present, large-scale distributed power supply is incorporated to electric system, this will produce the management and running of electric system huge
Influence.In this context, generation of electricity by new energy can form complementary Optimization of Energy Structure with water/thermoelectricity, improve the level of resources utilization
With clean level, reduce the energy cost and Environmental costs of economic growth, contribute to economy sustainable rapid growth.Due to
The strong randomness of wind/photoelectricity resource, predict that the features such as difficulty, anti-tune peak make it that electric network active scheduling controlling is further difficult, new energy
The development of source generation technology is, it is necessary to develop associated supporting regulation platform, further optimization and innovation running fluidization air flow,
Coordinate the scheduling sequence between the new energy technology including wind-powered electricity generation, photovoltaic generation etc. and traditional energy power generation, deeply excavate
Peak-load regulating potentiality.How on the premise of power grid security is ensured, at utmost using wind/photoelectricity resource, disappear as much as possible
One of common challenge that power grid where wind/photoelectricity of receiving has become current each wind/photoelectricity base faces.
The content of the invention
A kind of power forecasting method in the new energy region based on Rolling optimal strategy is provided in the embodiment of the present invention, with
Build rolling scheduling, Real-Time Scheduling and the space-time cooperative Scheduling System controlled in real time.
The present invention provides a kind of power forecasting method in the new energy region based on Rolling optimal strategy, including：
Judge whether cluster generated output surmounts preset upper limit；
If cluster generated output surmounts preset upper limit, each wind/light in new energy region is predicted according to security decision
Electricity sends out the power of section；
If cluster generated output not over preset upper limit, according to economic decision-making predict each wind in new energy region/
Photoelectricity sends out the power of section.
Preferably, it is described to judge whether cluster generated output surmounts preset upper limit and include：
Persistently track power grid wind/photoelectricity access state, and using the whole network AGC units backspin for nargin come dissolve wind/
Photoelectricity；
If AGC backspins are sent out for nargin deficiency or wind/photoelectricity, section is out-of-limit, and cluster generated output surmounts on default
Limit；
If AGC backspins are for nargin is sufficient and wind/photoelectricity sends out that section is not out-of-limit, and cluster generated output is not over pre-
If the upper limit.
Preferably, the security decision is a upper limit control strategy based on quadratic programming model, the basis
The power of each wind/photoelectricity submitting section includes in security decision prediction new energy region：
Set and eliminate the out-of-limit object function of sectionWherein, Ω is that there are out-of-limit
Section set, εsFor the correction dead band of wind/photoelectricity section, Δ PcRepresent the out-of-limit correction regulated quantity of section of j-th of section, P,
The active and active upper limit in real time is represented respectively,Provided by operations staff；
Precedence function is setWherein, UiFor electricity of the electric field with respect to reference point
Pressure, UlTo send out voltage of the section with respect to reference point,For UiVoltage phase angle,For UlVoltage phase angle, βilFor the i-th wind/light
The active active po wer sensitivity that section is sent out to l-th of wind/photoelectricity of electric field；
Wind/photoelectricity is set to send out the security constraints of section network, the security constraints include：
The active correction amount delta P of wind/optical electric fieldwChanges delta P active to sectioncInfluence：
ΔPc=S Δs Pw, wherein, S represents the active active po wer sensitivity square that section is sent out to wind/photoelectricity of wind/optical electric field
Battle array；
Wind/photoelectricity is active to adjust direction constraint：
In formula, SiRepresent active spirit of the active change to out-of-limit section of i-th of wind/optical electric field
Sensitivity；
Wind/optical electric field output active power output constraint：
Wherein,WithRepresent i-th wind/optical electric field respectively it is real-time contribute,
Output lower limit and estimate maximum output；
The security constraint that section network is sent out according to the object function, the precedence function and the wind/photoelectricity is pre-
Survey the power that each wind/photoelectricity in new energy region sends out section.
Preferably, it is described to predict that the power of each wind in new energy region/photoelectricity submitting section also wraps according to security decision
Include：
Judge that each wind in new energy region/photoelectricity sends out whether to still remain section in section out-of-limit；
Pacify if it is present sending out section feasible constraint condition using wind/photoelectricity to replace wind/photoelectricity to send out section network
Staff cultivation condition, the wind/photoelectricity send out section feasible constraint condition and are：
Preferably, it is described to predict that the power of each wind in new energy region/photoelectricity submitting section includes according to economic decision-making：
According to formula Δ PT=PL-PR, obtain channel margin Δ PT, wherein, PLFor the passage upper limit, PRFor actual power generation；
According to formulaThe capacity free degree ratio of each wind power plant is obtained, wherein, CfiFor the capacity of wind power plant i
The free degree, n are the quantity of unit in electric field,For the total capacity free degree of wind power plant；
According to formulaPT=P0+ΔPTObtain the control instruction of each wind power plant
PT；
According to the control instruction P of each wind power plantT, passage transmission power is sent out to corresponding.
Preferably, the method further includes：
Judge the control instruction P of each wind power plantTWhether corresponding actual power generation P is more thanR；
If the control instruction PTMore than corresponding actual power generation PR, then the maximum generation energy of each wind-powered electricity generation station is calculated
The deviation of power and the passage upper limit；
If the maximum generation ability of each wind-powered electricity generation station is less than the passage upper limit, each station freedom of entry power generation mode,
Cluster generated energy is all sent outside.
Preferably, under the free power generation mode, power grid can dissolve wind/photoelectricity nargin feasible constraints condition and be：
Wherein,Adjustment amount is controlled for i-th of freely sending out for wind/optical electric field,It is abundant that wind/photoelectricity can be dissolved for power grid
Degree.
Preferably, the constraints further includes：Freely send out control direction constraint：
Preferably, the constraints further includes：Wind/optical electric field capacity-constrained：Wherein,
For the capacity of i-th of wind/optical electric field.
The application's has the beneficial effect that：
A kind of power forecasting method in the new energy region based on Rolling optimal strategy is provided in the embodiment of the present invention, with
Build rolling scheduling, Real-Time Scheduling and the space-time cooperative Scheduling System controlled in real time.The present invention is to realize large-scale distributed electricity
The control technology for dissolving a large amount of new energy after source is grid-connected to greatest extent is target, using new energy regional prediction optimisation strategy to grind
Study carefully object, the strategy based on rolling optimization predicts new energy area power through row.According to " multi-source is complementary, multilevel coordination, step by step
The scheduling method of refinement ", structure rolling scheduling, Real-Time Scheduling and the space-time cooperative Scheduling System controlled in real time.Rolling planning ring
Section is coordinated with looking back by itself prediction, has the ability in full control zone and all the period of time optimizing, is the basis of active power dispatch.
Brief description of the drawings
Attached drawing herein is merged in specification and forms the part of this specification, shows the implementation for meeting the present invention
Example, and for explaining the principle of the present invention together with specification.
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is attached drawing needed in technology description to be briefly described, it should be apparent that, for those of ordinary skill in the art
Speech, without having to pay creative labor, can also obtain other attached drawings according to these attached drawings.
Fig. 1 is a kind of power forecasting method in the new energy region based on Rolling optimal strategy provided by the embodiments of the present application
Flow chart.
Embodiment
In order to make those skilled in the art more fully understand the technical solution in the present invention, below in conjunction with of the invention real
The attached drawing in example is applied, the technical solution in the embodiment of the present invention is clearly and completely described, it is clear that described implementation
Example is only part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this area is common
Technical staff's all other embodiments obtained without making creative work, should all belong to protection of the present invention
Scope.
The present invention dissolves the control technology of a large amount of new energy after large-scale distributed power grid to realize to greatest extent
For target, using new energy regional prediction optimisation strategy as research object, the strategy based on rolling optimization is to new energy area power
It is predicted.According to the scheduling method of " multi-source is complementary, multilevel coordination, refines step by step ", structure rolling scheduling, Real-Time Scheduling and reality
When the space-time cooperative Scheduling System that controls.Rolling planning link is coordinated with looking back by itself prediction, have in full control zone and
The ability of all the period of time optimizing, is the basis of active power dispatch.Therefore, rolling planning link is Real-Time Scheduling link and correction or lag ring
Section provides the operation reference value on basis, from the time, this be one from the respectant coordination of inverse time countershaft of rolling planning moment,
It may be considered and look back coordination.Specifically, please referring to Fig.1, it show one kind provided by the embodiments of the present application and is based on rolling optimization
The flow chart of the power forecasting method in the new energy region of strategy.As seen from Figure 1, this method includes the following steps：
Step S100：Judge whether cluster generated output surmounts preset upper limit, if cluster generated output surmounts on default
Limit, then perform step S200, if cluster generated output performs step S300 not over preset upper limit；
Step S200：The power of each wind in new energy region/photoelectricity submitting section is predicted according to security decision；
Step S300：The power of each wind in new energy region/photoelectricity submitting section is predicted according to economic decision-making.
The first step, security decision：
Judge whether cluster generated output gets over the upper limit, if so, upper limit control is carried out, if it is not, then being passed through into second step
Ji decision-making.
Persistently track power grid wind/photoelectricity access state, and using the whole network AGC units backspin for nargin come dissolve wind/
Photoelectricity, and send out section for nargin deficiency or wind/photoelectricity in AGC backspins and more prescribe a time limit, startup abandons air control system to ensure that power grid is pacified
Entirely.
When power grid is sent out there are wind/photoelectricity, section is active more to prescribe a time limit, and enables the out-of-limit Corrective control of section, eliminates section and get over
Limit, decision model is a quadratic programming, and object function is as follows：
Wherein, Ω represents that there are out-of-limit section set, εsDead band is corrected for wind/photoelectricity section；ΔPcRepresent to break for j-th
The out-of-limit correction regulated quantity of section in face, P,Its active and active upper limit in real time is represented respectively,Provided by operations staff；Target
It is out-of-limit that function promotes to eliminate wind/photoelectricity section, out-of-limit in order to ensure preferentially to eliminate section.
In formula, UiFor voltage of the electric field with respect to reference point, UlTo send out voltage of the section with respect to reference point,For UiElectricity
Press phase angle,For UlVoltage phase angle, βilThe active sensitive of section is sent out to l-th of wind/photoelectricity for the i-th wind/optical electric field is active
Degree.
In formula, S represents the active active po wer sensitivity matrix that section is sent out to wind/photoelectricity of wind/optical electric field；
Quadratic programming problem meets following constraints：
The active correction amount delta P of wind/optical electric fieldwChanges delta P active to sectioncInfluence：
ΔPc=S Δs PwFormula (4)
The active sensitivity that section is sent out to wind/photoelectricity of wind/optical electric field is generally just or to be similar to zero.In order to avoid
The wind/optical electric field that very little is influenced on out-of-limit section participates in active power adjustment, at the same avoid the occurrence of increase wind/photoelectricity active power output with
The opposite control instruction of orientation, introduces the active direction that adjusts of wind/photoelectricity and constrains：
In formula, SiRepresent active po wer sensitivity of the active change to out-of-limit section of i-th of wind/optical electric field.
Wind/optical electric field output active power output constraint：
In formula,Represent the contributing in real time of i-th wind/optical electric field, contribute and lower limit and estimate maximum output.
It is if still out-of-limit there are section in the result of decision：
In order to ensure that follow-up decision has solution, it is disconnected to replace wind/photoelectricity to send out to send out section feasible constraints using wind/photoelectricity
Torus network security constraint：
That is, the result of decision in this stage is to pick out the section and its slack that need relaxation.
Second step, economic decision-making
By the deviation between calculating upper limit and actual power generation, channel margin Δ P is obtainedT。
ΔPT=PL-PRFormula (9)
In formula, PLFor the passage upper limit, PRFor actual power generation.
As Δ PT＞ 0, illustrates that section also has channel margin, passage can be filled using conventional energy resource at this time.Root
According to the change of maximum allowable active power output and the space and time difference of the resource with reference to residing for each wind/optical electric field, analysis draws each electric field
Active power output plan；After Security Checking, which is issued to the real power control terminal of each electric field by system；
Electric field real power control device is distributed to unit according to the situation of each wind/photoelectricity unit in wind power plant, so as to realize maximum of contributing
It also assures that the stability for sending out passage while change.
The generated output of each station must assure that it is not out-of-limit under conditions of.
The difference that the capacity free degree of electric field is defined as the desired value of wind power plant and currently contributes：
In formula, C is the capacity free degree of electric field；For the predicted value of electric field；PiFor the current realtime power of electric field.That
Total capacity free degree of electric field is in wind power plant so the sum of capacity free degree of wind power generating set.
In formula, n is the quantity of unit in electric field.
In formula, CfiFor the capacity free degree of wind power plant i.
ΔPTEach station control instruction is allocated by clustered control allocation strategy：
In formula, kiFor a certain constant, 0 ＜ ki＜ 1.
Each station control instruction is：
PT=P0+ΔPTFormula (15)
Each station obtains control instruction PTAfterwards, to submitting passage transmission power.
3rd step, freely generates electricity
Under economic decision-making pattern, each station maximum generation ability and upper limit deviation are calculated.If maximum generation ability is less than
The passage upper limit, then each station freedom of entry hair-like state, cluster generated energy are all sent outside.
Each station power generation generates electricity by maximum capacity.
Air control system is abandoned based on minimum as a result, updating each variate-value：
Wind/photoelectricity nargin can be dissolved for power grid.Abandon wind for the minimum of i-th of wind/optical electric field and optimize and revise
Amount.IfIllustrate the ability for still having further consumption wind/photoelectricity by the decision-making in the first two stage, power grid.By
In decision-making above, wind/optical electric field maximum generation ability is predicted value, it is understood that there may be deviation.For this reason, introduce wind/optical electric field
Control model is freely sent out, i.e., using wind/optical electric field capacity as maximum generation ability, calculates each wind/light for meeting security constraint
Electric field output adjusted value, is reduced with maximum possible and abandons wind.
Construct following object function：
Wherein,Adjustment amount is controlled for i-th of freely sending out for wind/optical electric field.
Wind/photoelectricity nargin feasible constraint can be dissolved by sending out section feasible constraint and power grid except wind/photoelectricity, it is also necessary to be met
Following constraint：
(1) introduce and freely send out control direction and constrain, avoid freely sending out the phenomenon of wind/photoelectricity output reduction after controlling：
(2) wind/optical electric field capacity-constrained is introduced, is freely sent out in control, the maximum output of wind/optical electric field can break through it and estimate
Maximum output value, but it is limited to its wind/optical electric field capacity：
Wherein,Represent the capacity of i-th of wind/optical electric field.
By the out-of-limit Corrective control of the section of first stage, recognize and the impossible wind of relaxation/photoelectricity send out profile constraints,
By the economic policies of second stage, maximum consumption wind/photoelectricity, freely sends out decision-making by the phase III, further reduces and abandon
Wind may.
Rolling planning and the main purpose planned in real time are the unbalanced powers eliminated before the execution day during generation schedule
Amount；When power grid blocks, the trend for releasing section is out-of-limit；Enough adjusting spaces are reserved for second level AGC units, are ensured
The normal operation of AGC controlled stages, consumption new energy space is provided for control in real time.
Claims (9)
- A kind of 1. power forecasting method in the new energy region based on Rolling optimal strategy, it is characterised in that including：Judge whether cluster generated output surmounts preset upper limit；If cluster generated output surmounts preset upper limit, predict that each wind/photoelectricity is sent in new energy region according to security decision Go out the power of section；If cluster generated output predicts each wind/photoelectricity in new energy region not over preset upper limit according to economic decision-making Send out the power of section.
- 2. Forecasting Methodology according to claim 1, it is characterised in that described to judge whether cluster generated output surmounts default The upper limit includes：Wind/photoelectricity access state of power grid is persistently tracked, and wind/photoelectricity is dissolved for nargin using the backspin of the whole network AGC units；If AGC backspins are sent out for nargin deficiency or wind/photoelectricity, section is out-of-limit, and cluster generated output surmounts preset upper limit；If AGC backspins for nargin is sufficient and wind/photoelectricity to send out section not out-of-limit, cluster generated output is not on default Limit.
- 3. Forecasting Methodology according to claim 1, it is characterised in that the security decision is for one with quadratic programming model Based on upper limit control strategy, it is described to predict that each wind/photoelectricity in new energy region sends out the work(of section according to security decision Rate includes：Set and eliminate the out-of-limit object function of sectionWherein, Ω is that there are out-of-limit section Set, εsFor the correction dead band of wind/photoelectricity section, Δ PcRepresent the out-of-limit correction regulated quantity of section of j-th of section, P,Respectively Represent the active and active upper limit in real time,Provided by operations staff；Precedence function is setWherein, UiFor voltage of the electric field with respect to reference point, UlFor Voltage of the section with respect to reference point is sent out,For UiVoltage phase angle,For UlVoltage phase angle, βilHave for the i-th wind/optical electric field Work(sends out l-th of wind/photoelectricity the active po wer sensitivity of section；Wind/photoelectricity is set to send out the security constraints of section network, the security constraints include：The active correction amount delta P of wind/optical electric fieldwChanges delta P active to sectioncInfluence：ΔPc=S Δs Pw, wherein, S represents the active active po wer sensitivity matrix that section is sent out to wind/photoelectricity of wind/optical electric field；Wind/photoelectricity is active to adjust direction constraint：In formula, SiRepresent the active change of i-th of wind/optical electric field to the active sensitive of out-of-limit section Degree；Wind/optical electric field output active power output constraint：Wherein,WithRepresent that i-th of the real-time of wind/optical electric field is contributed, under output respectively Limit and estimate maximum output；The security constraint prediction that section network is sent out according to the object function, the precedence function and the wind/photoelectricity is new Each wind/photoelectricity sends out the power of section in energy region.
- 4. Forecasting Methodology according to claim 3, it is characterised in that described to be predicted according to security decision in new energy region The power that each wind/photoelectricity sends out section further includes：Judge that each wind in new energy region/photoelectricity sends out whether to still remain section in section out-of-limit；If it is present section feasible constraint condition is sent out using wind/photoelectricity to replace wind/photoelectricity to send out section network security about Beam condition, the wind/photoelectricity send out section feasible constraint condition and are：<mrow> <msub> <mi>P</mi> <mi>i</mi> </msub> <mo>+</mo> <msub> <mi>&Delta;P</mi> <mi>i</mi> </msub> <mo>&le;</mo> <mi>m</mi> <mi>a</mi> <mi>x</mi> <mo>{</mo> <msub> <mover> <mi>P</mi> <mo>&OverBar;</mo> </mover> <mi>i</mi> </msub> <mo>,</mo> <msub> <mi>P</mi> <mi>i</mi> </msub> <mo>+</mo> <msup> <msub> <mi>&Delta;P</mi> <mi>i</mi> </msub> <mi>c</mi> </msup> <mo>}</mo> <mo>.</mo> </mrow>
- 5. Forecasting Methodology according to claim 1, it is characterised in that described to be predicted according to economic decision-making in new energy region The power that each wind/photoelectricity sends out section includes：According to formula Δ PT=PL-PR, obtain channel margin Δ PT, wherein, PLFor the passage upper limit, PRFor actual power generation；According to formulaThe capacity free degree ratio of each wind power plant is obtained, wherein, CfiIt is free for the capacity of wind power plant i Degree, n are the quantity of unit in electric field,For the total capacity free degree of wind power plant；According to formulaPT=P0+ΔPTObtain the control instruction P of each wind power plantT；According to the control instruction P of each wind power plantT, passage transmission power is sent out to corresponding.
- 6. Forecasting Methodology according to claim 5, it is characterised in that the method further includes：Judge the control instruction P of each wind power plantTWhether corresponding actual power generation P is more thanR；If the control instruction PTMore than corresponding actual power generation PR, then calculate the maximum generation ability of each wind-powered electricity generation station with The deviation of the passage upper limit；If the maximum generation ability of each wind-powered electricity generation station is less than the passage upper limit, each station freedom of entry power generation mode, cluster Generated energy is all sent outside.
- 7. Forecasting Methodology according to claim 6, it is characterised in that under the free power generation mode, power grid can dissolve wind/ Photoelectricity nargin feasible constraints condition is：<mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> <msup> <mrow> <mo>(</mo> <msubsup> <mi>&Delta;P</mi> <mrow> <mi>a</mi> <mi>g</mi> <mi>c</mi> </mrow> <mrow> <mi>c</mi> <mi>a</mi> <mi>p</mi> </mrow> </msubsup> <mo>-</mo> <munder> <mo>&Sigma;</mo> <mrow> <mi>i</mi> <mo>&Element;</mo> <mi>&Omega;</mi> </mrow> </munder> <msubsup> <mi>&Delta;P</mi> <mi>i</mi> <mi>f</mi> </msubsup> <mo>)</mo> </mrow> <mn>2</mn> </msup> </mrow>Wherein, Δ Pi fAdjustment amount is controlled for i-th of freely sending out for wind/optical electric field,Wind/photoelectricity nargin can be dissolved for power grid.
- 8. Forecasting Methodology according to claim 7, it is characterised in that the constraints further includes：It is described freely to send out control Direction constraint processed：ΔPi f≥0。
- 9. Forecasting Methodology according to claim 8, it is characterised in that the constraints further includes：Wind/optical electric field capacity Constraint：Wherein,For the capacity of i-th of wind/optical electric field.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109800919A (en) * | 2019-01-30 | 2019-05-24 | 云南电网有限责任公司电力科学研究院 | A kind of regional wind power integrally active power forecasting method and device |
| CN110705739A (en) * | 2019-08-19 | 2020-01-17 | 中国电力科学研究院有限公司 | New energy power station power generation plan making method and system |
| CN111146814A (en) * | 2018-11-02 | 2020-05-12 | 国网冀北电力有限公司 | Wind and light cluster active control method and device, computer equipment and storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2014003783A (en) * | 2012-06-18 | 2014-01-09 | Mitsubishi Electric Corp | Power converter controller and multiplex winding-type motor drive unit |
| CN105244865A (en) * | 2015-07-21 | 2016-01-13 | 河南行知专利服务有限公司 | Power system safe and stable operation control method |
| CN106026169A (en) * | 2016-06-28 | 2016-10-12 | 南京邮电大学 | Decomposition-coordination optimization method based on multi-microgrid merging into power distribution network |
-
2017
- 2017-12-20 CN CN201711386329.6A patent/CN107968442A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2014003783A (en) * | 2012-06-18 | 2014-01-09 | Mitsubishi Electric Corp | Power converter controller and multiplex winding-type motor drive unit |
| CN105244865A (en) * | 2015-07-21 | 2016-01-13 | 河南行知专利服务有限公司 | Power system safe and stable operation control method |
| CN106026169A (en) * | 2016-06-28 | 2016-10-12 | 南京邮电大学 | Decomposition-coordination optimization method based on multi-microgrid merging into power distribution network |
Non-Patent Citations (2)
| Title |
|---|
| 段琴: "风电集群有功功率智能分配策略研究", 《CNKI中国优秀硕士学位论文全文数据库》 * |
| 王彬，等: "应用于高风电渗透率电网的风电调度实时控制方法与实现", 《电力系统自动化》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111146814A (en) * | 2018-11-02 | 2020-05-12 | 国网冀北电力有限公司 | Wind and light cluster active control method and device, computer equipment and storage medium |
| CN109800919A (en) * | 2019-01-30 | 2019-05-24 | 云南电网有限责任公司电力科学研究院 | A kind of regional wind power integrally active power forecasting method and device |
| CN109800919B (en) * | 2019-01-30 | 2023-07-11 | 云南电网有限责任公司电力科学研究院 | Regional wind farm overall active power prediction method and device |
| CN110705739A (en) * | 2019-08-19 | 2020-01-17 | 中国电力科学研究院有限公司 | New energy power station power generation plan making method and system |
| CN110705739B (en) * | 2019-08-19 | 2023-10-27 | 中国电力科学研究院有限公司 | New energy power station power generation plan making method and system |
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