CN107658912A - A kind of active power controller method for improving wind power plant performance driving economy - Google Patents
A kind of active power controller method for improving wind power plant performance driving economy Download PDFInfo
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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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- 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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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Abstract
The invention discloses a kind of active power controller method for improving wind power plant performance driving economy, and it carries out Power Control according to the priority by carrying out priority ranking to wind power plant unit based on performance driving economy to wind power plant unit；The priority is ranked up according to the order of unit operation economic index from big to small.The active power controller method computing of the present invention is quick, and response is timely, on the basis of net side scheduling requirement is met, optimizes the economical operation of wind power plant itself, is advantageous to the long-run development of Wind Power Generation Industry.
Description
Technical field
The present invention relates to wind-powered electricity generation control technology field, more particularly to a kind of wattful power for improving wind power plant performance driving economy
Rate control method.
Background technology
Energy industry is in the transition period, and it is two key points to make the transition that new energy scale, traditional energy, which clean,
The online difficulty problem that new energy scale faces, main cause are that new energy can not realize that intelligence is excellent as traditional energy
Change scheduling and economical operation.Constantly become big, the unstability of running of wind generating set with grid-connected unit scale is participated in, especially
The fluctuation of active power causes certain impact to power network.The method used at present is that wind power plant is directly adjusted by power network AGC
Section, but with net side stabilize to starting point wind power plant real power control strategy be likely to result in largely abandon wind, unit frequently opens
Stop, unit fatigue operation and network loss it is serious situations such as, so as to have influence on the economical operation of wind power plant itself, this is to Wind Power Generation Industry
Long-run development can cause tremendous influence.
In the research for wind field power optimization strategy, it is divided into three classes substantially, it is main that wind power plant participates in the research of AGC frequency modulation
It is to meet that grid requirements are attached most importance to, the actual conditions of wind power plant is not taken into full account with large area easily occur and abandon wind etc.
Consequence；Regulation of the energy storage device for active power of wind power field is limited, and energy storage technology is also in development, not yet big rule
Mould is promoted, therefore achievement in research is difficult to field application；The research of wind power plant power system optimal dispatch is mainly in power distribution mistake
Seek a kind of optimal algorithm in journey, optimize particle cluster algorithm, neural network algorithm etc., optimize power distribution, but complicated calculation
The cost of method is the increase of operation time and the delay of response speed, it is difficult to meets wind power plant actual motion requirement.Therefore, how
A kind of wind power plant field level active power controller method for the purpose of economical operation, the real current important R＆D target of category can be founded
One of.
The content of the invention
It is an object of the invention to provide a kind of active power controller method for improving wind power plant performance driving economy, make its computing
Quickly, response is timely, on the basis of net side scheduling requirement is met, optimizes the economical operation of wind power plant itself, is advantageous to wind-powered electricity generation
The long-run development of industry, so as to avoid the existing active power controller method stable based on net side often occur it is substantial amounts of abandon wind,
Situations such as unit frequent start-stop, serious unit fatigue operation and network loss.
To achieve the above object, the present invention adopts the following technical scheme that：
A kind of active power controller method for improving wind power plant performance driving economy, the control method are based on performance driving economy
Priority ranking is carried out to wind power plant unit, and Power Control is carried out to wind power plant unit according to the priority；It is described preferential
Level is ranked up according to the order of unit operation economic index from big to small, and the unit operation economic index passes through following
Calculating process obtains：
A. set the object function of unit operation economic index as：
T=max (a)+min (L)+min (t) (1)
A is networking electricity price in formula (1), and l is collection linear distance, and t is in fortune duration；
B. turn to formula (1) target is same：
C. three factors in formula (2) are normalized；
D. the weight of three factors after normalization is solved, calculating target function.
As a further improvement, three factors are normalized using deviation Standardization Act in the step C.
Weight is solved using objective and subjective synthetic approach in the step D.
In the objective and subjective synthetic approach, objective weight method uses Information Entropy, and the subjective method of weighting uses expert method.
The step C is specifically included：
Three factors are normalized using the transfer function of following formula (3)：
Max is the maximum of sample data in formula (3), and min is the minimum value of sample data；
Three factors are respectively x after normalizationa、xlAnd xt, the object function is：
The step D is specifically included：
Establish one-dimensional matrix X=(xi)1×n：
Each factor weight is：
In formula (5)：Hi=-Kfilnfi,
Subjective weight assignment is carried out using expert method, provides constraints：wa＞ wl＞ wt；
Then each factor weight determining type is：
The object function solving result is：
Ti=waxa+wlxl+wtxt (6)
T in formula (6)iFor the performance driving economy index of i-th of unit, waFor networking electricity price weight, wlFor collection linear distance power
Weight, wtFor in fortune duration weight.
It is described that priority ranking is carried out to wind power plant unit based on performance driving economy, and according to described priority to wind-powered electricity generation
Field unit carries out Power Control and specifically included：
S1：Collection wind power plant set state information and the real-time power output P of wind power plant PCC points in real timewf, electric network active work(
Rate dispatch command PrefWith wind power prediction value Ppwf；
S2：By computer-assisted classification it is to include following five class according to the set state information of collection：I class mark post unit, II classes exist
Fortune unit, III class failure unit, IV class unit to be launched, V class must start up unit；
S3：The priority of wind power plant unit is judged according to the performance driving economy index of unit；
S4：P is instructed according to current schedulingref, wind power prediction value PpwfAnd the real-time power output P of wind power plant PCC pointswf,
Calculating difference Δ P,
As Δ P ＞ 0, following steps S5 is performed；As Δ P ＜ 0, following steps S6 is performed；
S5：Increasing Power Control is carried out respectively with reference to unit classification, and according to the priority of unit；
S6：Drop Power Control is carried out respectively with reference to unit classification, and according to the priority of unit；
S7：Return to step S1, into next controlling cycle.
In the step S2, set state information includes unit realtime power pwf, mark post unit flag bit Ep, temperature pre-warning
Signal Tem, fault-signal Er.
The step S2 is specifically included：
S2-1：Judge unit realtime power pwf, pwf＞ 0, then perform step S2-2；pwf=0, then perform step S2-3；
S2-2：Judge mark post unit flag bit Ep, Ep=1, unit is I class mark post units；Ep=0, unit are that II classes exist
Transport unit；
S2-3：Judge unit fault flag Er, Er=0, then perform step S2-4；Er=1, then unit is Group III event
Hinder unit；
S2-4：Judge unit temperature pre-warning signal Tem, Tem=0, unit is IV classes unit to be launched；Tem=1, unit
Unit is must start up for V classes.
The step S5 is specifically included：
S5-1：Calculate mark post unit and must start up power adjustable section allowance after power of the assembling unit increase：
ΔPz=Δ P- Δs P1a-ΔP5a
In formula：ΔP1aIncrease power, Δ P for mark post unit5aIncrease power to must start up unit；
S5-2：Calculate the power that can be lifted in fortune unit：
ΔP2a=P2pre-P2wf
In formula：P2preFor in fortune unit wind power prediction value, P2wfFor in fortune unit realtime power；
S5-3：Calculate the power threshold that can be lifted after unit to be launched all starts：
ΔP4a=P4pre
In formula：P4preFor unit wind power prediction value to be launched；
Then whole wind power plant current period can hoisting power be：
ΔPa=Δ P2a+ΔP4a
S5-4：If Δ Pz≤ΔP2a, then according to unit priority orders, successively in fortune unit transmit power adjustment life
Order, until meeting condition：
S5-5：If Δ P2a≤ΔP≤ΔPa, then all power in fortune unit are all first adjusted to predicted value, now：Δ
P '=Δ P- Δs P2a, and according to unit priority orders, start unit to be launched successively to wind power prediction value, until meeting bar
Part：
S5-6：If Δ Pz＞ Δs Pa, then it is pre- wind power will to be all adjusted in the operation power of fortune unit and unit to be launched
Measured value.
The step S6 is specifically included：
S6-1：Calculate the reducible power when transporting unit and all running to lowest threshold：
In formula：N is in fortune unit number of units；
S6-2：Calculate the cpable of lowering power after unit full cut-off machine is transported：
S6-3：Reducible power when calculating mark post unit operation to lowest threshold：
In formula：M is mark post unit number of units；
S6-4：Cpable of lowering power after calculating mark post unit full cut-off machine：
Then whole wind power plant is in current period cpable of lowering power：
ΔPd=Δ P2d+ΔP1d
S6-5：If | Δ P |≤Δ P2l, then according to unit priority orders are being transported, successively by all in fortune unit operation work(
Rate is adjusted to minimum operation threshold value plow, until meeting condition：
S6-6：If Δ P2l≤|ΔP|≤ΔP2d, then shut down successively by fortune unit priority, until meeting condition：
S6-7：If | Δ P | ＞ Δs P2d, now, Δ P '=Δ P+ Δs P2d, drop Power Control is carried out to mark post unit, if |
ΔP′|≤ΔP1l, meet drop power control requirements, then according to unit priority orders, successively adjust mark post unit operation power
It is whole to plow, until meeting condition：
S6-8：If Δ P1l≤|ΔP′|≤ΔP1d, then shut down successively by mark post unit priority, until meeting condition：
S6-9：If | Δ P ' | ＞ Δs P1d, all compressor emergency shutdowns of wind power plant are controlled.
Due at least there is advantages below using above-mentioned technical proposal, the present invention：
The present invention is realized by rational computer-assisted classification and unit economy priority ranking to increasing/drop power process
Accurate control, is effectively reduced network loss and start-stop time, improves networking income, while dispatching of power netwoks is met, make wind
The income of electric field operation reaches maximum, realizes the target of wind power plant economical operation.
Brief description of the drawings
Above-mentioned is only the general introduction of technical solution of the present invention, in order to better understand the technological means of the present invention, below
With reference to accompanying drawing, the present invention is described in further detail with embodiment.
Fig. 1 is the flow chart of the active power controller method of the raising wind power plant performance driving economy of the present invention.
Fig. 2 is the particular flow sheet of computer-assisted classification step.
Embodiment
The present invention provides a kind of active power controller method for improving wind power plant performance driving economy, and this method is meeting net side
On the basis of scheduling requirement, with reference to wind power plant self-operating state, run in the optimal method of benefit, so as to improve wind power plant fortune
Row economy.
Mainly, control method of the invention by based on performance driving economy to wind power plant unit carry out priority ranking,
And Power Control is carried out to wind power plant unit according to the priority；The priority is according to unit operation economic index from big
It is ranked up to small order.
Specifically, as shown in figure 1, the present invention a kind of raising wind power plant performance driving economy active power controller method,
Mainly include the following steps that：
Step 1：The set state information that collection wind farm monitoring system provides in real time, the real-time output work of wind power plant PCC points
Rate, network re-active power dispatch command, wind power prediction value；
Step 2：Unit is divided into by five classes according to the set state information of collection：Mark post unit, in fortune unit, machine to be launched
Group, it is necessary to start unit, failure unit；
Step 3：Unit operation economy priority level is judged according to the set state information of collection.
Step 4：According to wind power plant realtime power PwfRespectively P is instructed with this periodic schedulingrefAnd wind power prediction value
PpwfDifference DELTA P, Δ P ＞ 0 adjust direction for increase power, perform step 5, Δ P ＜ 0 adjust direction for drop power, perform step
6；
Step 5：With reference to unit classification, and carry out unit according to the unit priority in step 3 and increase Power Control；
Step 6：Unit drop Power Control is carried out with reference to unit classification, and according to the unit priority in step 3；
Step 7：After the completion of above-mentioned steps, the action of this periodic Control is completed, return to step 1.
As shown in Fig. 2 the step 2 specifically includes following steps：
In the step 2, particular state information is unit realtime power pwf, mark post unit flag bit Ep, temperature pre-warning letter
Number Tem, fault-signal Er, step comprise the following steps：
Step 2-1：Judge unit realtime power pwf, pwf＞ 0, then perform step 2-2, pwf=0, then perform step 2-3；
Step 2-2：Judge mark post unit flag bit Ep, Ep=1, unit is mark post unit, and type is I classes, Ep=0, machine
Group is that type is II classes in fortune unit；
Step 2-3：Judge unit fault flag Er, Er=0, then performing step 2-4, Er=1., then unit is failure machine
Group, type are Group III；
Step 2-4：Judging unit temperature pre-warning signal Tem, Tem=0, unit is unit to be launched, and type is IV classes,
Tem=1, for unit to must start up unit, type is V classes.
In the step 3, particular state information is networking electricity price a, collects linear distance l, in fortune duration t, unit operation economy
The object function of property is：
T=max (a)+min (L)+min (t)
Target is same to be turned to：
The unit of each factor and the order of magnitude are different in formula, can not be compared, therefore it is determined that being needed before weight
Each factor is normalized, min-max Standardization Acts are used in the present invention, also makes deviation standardize, is to initial data
Linear transformation, makes result fall on [0,1] section, and transfer function is as follows：
Max is the maximum of sample data in formula, and min is the minimum value of sample data.Three factor difference after normalization
For:xa, xlAnd xt, object function is：
The present invention is solved using objective and subjective synthetic approach to the weight of three factors in object function, and objective weight solves
Method is Information Entropy, and solution procedure is as follows：
Because object function is minimum optimal, therefore a kind of scheme is only existed, i.e., only need to establish one-dimensional matrix X=
(xi)1×n：
Hi=-Kfilnfi
Then each index weights are：
Expert method is used during subjective weight assignment, provides constraints：
wa＞ wl＞ wt
Then each factor weight determining type is：
Object function solving result is：
Ti=waxa+wlxl+wtxt
T in formulaiFor i-th unit operation economic index, waFor networking electricity price weight, wlFor line concentration distance weighting, wtFor
Duration weight is being transported, according to TiOrder from small to large is ranked up to unit.
Δ P specific discriminate is as follows in the step 4：
Increase comprising the following steps that for Power Control in the step 5：
Step 5-1：Calculate mark post unit and must start up power adjustable section allowance after power of the assembling unit increase：
ΔPz=Δ P- Δs P1a-ΔP5a
In formula：ΔP1aIncrease power, Δ P for mark post unit5aIncrease power to must start up unit.
Step 5-2：Calculate the power that can be lifted in fortune unit：
ΔP2a=P2pre-P2wf
In formula：P2preFor in fortune unit wind power prediction value, P2wfFor in fortune unit realtime power.
Step 5-3：Calculate the power threshold that can be lifted after unit to be launched all starts：
ΔP4a=P4pre
In formula：P4preFor unit wind power prediction value to be launched.Then whole wind power plant can hoisting power in this cycle：
ΔPa=Δ P2a+ΔP4a
Step 5-4：If Δ Pz≤ΔP2a, i.e., it is all when the operation power for transporting unit is all adjusted to wind power prediction value,
Meet to increase power control requirements, then according to unit priority orders, successively in fortune unit transmit power adjustment order, Zhi Daoman
Sufficient condition：
The power summation lifted meets to require.
Step 5-5：If Δ P2a≤ΔP≤ΔPa, i.e., it is all to be adjusted to highest in the fortune power of the assembling unit and be not met by requiring,
And need to start unit to be launched, then all power in fortune unit are all first adjusted to predicted value, now：Δ P '=Δ P- Δs
P2a, then according to unit priority orders, unit to be launched is started successively to wind power prediction value, until meeting condition：
Start power of the assembling unit sum to meet to require.
Step 5-6：If Δ Pz＞ Δs Pa, i.e. wind power plant power-adjustable threshold value is less than dispatching requirement threshold value, then needs to transport
The operation power of unit and unit to be launched is all adjusted to wind power prediction value, meets adjustment needs to greatest extent.
Comprising the following steps that for Power Control is dropped in the step 6：
Step 6-1：Calculate the reducible power when transporting unit and all running to lowest threshold：
In formula：N is in fortune unit number of units.
Step 6-2：Calculate the cpable of lowering power after unit full cut-off machine is transported：
Step 6-3：Reducible power when calculating mark post unit operation to lowest threshold：
In formula：M is mark post unit number of units.
Step 6-4：Cpable of lowering power after calculating mark post unit full cut-off machine：
Then whole wind power plant is in this cycle cpable of lowering power：
ΔPd=Δ P2d+ΔP1d
Step 6-5：If | Δ P |≤Δ P2l, i.e., it is all when the fortune power of the assembling unit is all adjusted to minimum operation threshold value, meet drop
Power control requirements, then according to unit priority orders, it will be adjusted successively in fortune unit operation power to plow, until meeting bar
Part：
The power reduced meets to require.
Step 6-6：If Δ P2l≤|ΔP|≤ΔP2d, i.e., it is all to be all adjusted to minimum operation threshold value not in the fortune power of the assembling unit
It can meet to require needs, now control strategy becomes to turn to and shut down successively by fortune unit priority, until meeting condition：
The power reduced meets to require.
Step 6-7：If | Δ P | ＞ Δs P2d, i.e., can not meet to drop power requirement, now, Δ P ' in fortune unit full cut-off machine
=Δ P+ Δs P2d, it is necessary to drop Power Control is carried out to mark post unit, if | Δ P ' |≤Δ P1l, i.e., all mark post powers of the assembling unit are all
When being adjusted to minimum operation threshold value, meet drop power control requirements, then according to unit priority orders, successively transport mark post unit
Row power is adjusted to plow, until meeting condition：
The power reduced meets to require.
Step 6-8：If Δ P1l≤|ΔP′|≤ΔP1d, i.e., all mark post powers of the assembling unit are all adjusted to minimum operation threshold value
It can not meet to require needs, now control strategy becomes to turn to and shut down successively by mark post unit priority, until meeting condition：
The power reduced meets to require.
Step 6-9：If | Δ P ' | ＞ Δs P1d, i.e., all mark post compressor emergency shutdowns can not meet to require, now need wind
All compressor emergency shutdowns control of electric field.
In summary, the set state information that the present invention gathers according to wind farm monitoring system first enters Mobile state to unit
Classification；It is then determined that unit allocation strategy, in the case where considering the factors such as rate for incorporation into the power network, network loss, using subjective and objective combination weights method pair
The priority of control strategy carries out tax power and sequence, by judging the difference of dispatching of power netwoks instruction and wind power prediction value, carries out
Lifting/lowering Power Control, wind power plant performance driving economy is improved to greatest extent, improves on-road efficiency, is advantageous to Wind Power Generation Industry
Long-run development.
The above described is only a preferred embodiment of the present invention, any formal limitation not is made to the present invention, this
Art personnel make a little simple modification, equivalent variations or modification using the technology contents of the disclosure above, all fall within this hair
In bright protection domain.
Claims (11)
- A kind of 1. active power controller method for improving wind power plant performance driving economy, it is characterised in that the control method is based on Performance driving economy carries out priority ranking to wind power plant unit, and carries out power control to wind power plant unit according to the priority System；The priority is ranked up according to the order of unit operation economic index from big to small, the unit operation economy Index is obtained by following calculating process：A. set the object function of unit operation economic index as：T=max (a)+min (L)+min (t) (1)A is networking electricity price in formula (1), and l is collection linear distance, and t is in fortune duration；B. turn to formula (1) target is same：<mrow> <mi>T</mi> <mo>=</mo> <mi>min</mi> <mo>&lsqb;</mo> <mfrac> <mn>1</mn> <mi>a</mi> </mfrac> <mo>+</mo> <mi>L</mi> <mo>+</mo> <mi>t</mi> <mo>&rsqb;</mo> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>2</mn> <mo>)</mo> </mrow> </mrow>C. three factors in formula (2) are normalized；D. the weight of three factors after normalization is solved, calculating target function.
- 2. a kind of active power controller method for improving wind power plant performance driving economy according to claim 1, its feature exist In three factors are normalized using deviation Standardization Act in the step C.
- 3. a kind of active power controller method for improving wind power plant performance driving economy according to claim 1, its feature exist In being solved in the step D using objective and subjective synthetic approach to weight.
- 4. a kind of active power controller method for improving wind power plant performance driving economy according to claim 3, its feature exist In in the objective and subjective synthetic approach, objective weight method uses Information Entropy, and the subjective method of weighting uses expert method.
- 5. a kind of active power controller method for improving wind power plant performance driving economy according to claim 1, its feature exist In the step C is specifically included：Three factors are normalized using the transfer function of following formula (3)：<mrow> <msup> <mi>x</mi> <mo>*</mo> </msup> <mo>=</mo> <mfrac> <mrow> <mi>x</mi> <mo>-</mo> <mi>min</mi> </mrow> <mrow> <mi>max</mi> <mo>-</mo> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>3</mn> <mo>)</mo> </mrow> </mrow>Max is the maximum of sample data in formula (3), and min is the minimum value of sample data；Three factors are respectively x after normalizationa、xlAnd xt, the object function is：
- 6. a kind of active power controller method for improving wind power plant performance driving economy according to claim 5, its feature exist In the step D is specifically included：Establish one-dimensional matrix X=(xi)1×n：Each factor weight is：In formula (5)：Hi=-Kfilnfi,Subjective weight assignment is carried out using expert method, provides constraints：wa＞ wl＞ wt；Then each factor weight determining type is：<mrow> <msub> <mi>w</mi> <mi>i</mi> </msub> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <msub> <mi>w</mi> <mi>i</mi> </msub> <mo>=</mo> <mfrac> <mrow> <mn>1</mn> <mo>-</mo> <msub> <mi>H</mi> <mi>i</mi> </msub> </mrow> <mrow> <mi>n</mi> <mo>-</mo> <munderover> <mo>&Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>H</mi> <mi>i</mi> </msub> </mrow> </mfrac> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>w</mi> <mi>a</mi> </msub> <mo>></mo> <msub> <mi>w</mi> <mi>l</mi> </msub> <mo>></mo> <msub> <mi>w</mi> <mi>t</mi> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow>The object function solving result is：Ti=waxa+wlxl+wtxt (6)T in formula (6)iFor the performance driving economy index of i-th of unit, waFor networking electricity price weight, wlFor line concentration distance weighting, wtFor In fortune duration weight.
- 7. a kind of active power controller method of raising wind power plant performance driving economy according to claim any one of 1-6, Characterized in that, described carry out priority ranking based on performance driving economy to wind power plant unit, and according to described priority pair Wind power plant unit carries out Power Control and specifically included：S1：Collection wind power plant set state information and the real-time power output P of wind power plant PCC points in real timewf, network re-active power adjust Degree instruction PrefWith wind power prediction value Ppwf；S2：By computer-assisted classification it is to include following five class according to the set state information of collection：I class mark post unit, II classes are in fortune machine Group, III class failure unit, IV class unit to be launched, V class must start up unit；S3：The priority of wind power plant unit is judged according to the performance driving economy index of unit；S4：P is instructed according to current schedulingref, wind power prediction value PpwfAnd the real-time power output P of wind power plant PCC pointswf, calculate Difference DELTA P,As Δ P ＞ 0, following steps S5 is performed；As Δ P ＜ 0, following steps S6 is performed；S5：Increasing Power Control is carried out respectively with reference to unit classification, and according to the priority of unit；S6：Drop Power Control is carried out respectively with reference to unit classification, and according to the priority of unit；S7：Return to step S1, into next controlling cycle.
- 8. a kind of active power controller method for improving wind power plant performance driving economy according to claim 7, its feature exist In in the step S2, set state information includes unit realtime power pwf, mark post unit flag bit Ep, temperature pre-warning signal Tem, fault-signal Er.
- 9. a kind of active power controller method for improving wind power plant performance driving economy according to claim 8, its feature exist In the step S2 is specifically included：S2-1：Judge unit realtime power pwf, pwf＞ 0, then perform step S2-2；pwf=0, then perform step S2-3；S2-2：Judge mark post unit flag bit Ep, Ep=1, unit is I class mark post units；Ep=0, unit are II classes in fortune machine Group；S2-3：Judge unit fault flag Er, Er=0, then perform step S2-4；Er=1, then unit is Group III failure machine Group；S2-4：Judge unit temperature pre-warning signal Tem, Tem=0, unit is IV classes unit to be launched；Tem=1, unit are V classes It must start up unit.
- 10. a kind of active power controller method for improving wind power plant performance driving economy according to claim 7, its feature exist In the step S5 is specifically included：S5-1：Calculate mark post unit and must start up power adjustable section allowance after power of the assembling unit increase：ΔPz=Δ P- Δs P1a-ΔP5aIn formula：ΔP1aIncrease power, Δ P for mark post unit5aIncrease power to must start up unit；S5-2：Calculate the power that can be lifted in fortune unit：ΔP2a=P2pre-P2wfIn formula：P2preFor in fortune unit wind power prediction value, P2wfFor in fortune unit realtime power；S5-3：Calculate the power threshold that can be lifted after unit to be launched all starts：ΔP4a=P4preIn formula：P4preFor unit wind power prediction value to be launched；Then whole wind power plant current period can hoisting power be：ΔPa=Δ P2a+ΔP4aS5-4：If Δ Pz≤ΔP2a, then according to unit priority orders, order successively being adjusted in fortune unit transmit power, directly To meeting condition：<mrow> <msub> <mi>&Delta;P</mi> <mi>z</mi> </msub> <mo>=</mo> <munder> <mo>&Sigma;</mo> <mi>i</mi> </munder> <msub> <mi>&Delta;p</mi> <mrow> <mi>i</mi> <mn>2</mn> <mi>a</mi> </mrow> </msub> </mrow>S5-5：If Δ P2a≤ΔP≤ΔPa, then all power in fortune unit are all first adjusted to predicted value, now：Δ P '= ΔP-ΔP2a, and according to unit priority orders, start unit to be launched successively to wind power prediction value, until meeting condition：<mrow> <msup> <mi>&Delta;P</mi> <mo>&prime;</mo> </msup> <mo>=</mo> <munder> <mo>&Sigma;</mo> <mi>i</mi> </munder> <msub> <mi>&Delta;p</mi> <mrow> <mi>i</mi> <mn>4</mn> </mrow> </msub> </mrow>S5-6：If Δ Pz＞ Δs Pa, then wind power prediction will be all adjusted in the operation power of fortune unit and unit to be launched Value.
- 11. a kind of active power controller method for improving wind power plant performance driving economy according to claim 7, its feature exist In the step S6 is specifically included：S6-1：Calculate the reducible power when transporting unit and all running to lowest threshold：<mrow> <msub> <mi>&Delta;P</mi> <mrow> <mn>2</mn> <mi>l</mi> </mrow> </msub> <mo>=</mo> <munderover> <mo>&Sigma;</mo> <mi>i</mi> <mi>n</mi> </munderover> <mrow> <mo>(</mo> <msub> <mi>p</mi> <mrow> <mi>i</mi> <mi>w</mi> <mi>f</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>p</mi> <mrow> <mi>l</mi> <mi>o</mi> <mi>w</mi> </mrow> </msub> <mo>)</mo> </mrow> </mrow>In formula：N is in fortune unit number of units；S6-2：Calculate the cpable of lowering power after unit full cut-off machine is transported：<mrow> <msub> <mi>&Delta;P</mi> <mrow> <mn>2</mn> <mi>d</mi> </mrow> </msub> <mo>=</mo> <munderover> <mo>&Sigma;</mo> <mi>i</mi> <mi>n</mi> </munderover> <msub> <mi>p</mi> <mrow> <mi>i</mi> <mi>w</mi> <mi>f</mi> </mrow> </msub> </mrow>S6-3：Reducible power when calculating mark post unit operation to lowest threshold：<mrow> <msub> <mi>&Delta;P</mi> <mrow> <mn>1</mn> <mi>l</mi> </mrow> </msub> <mo>=</mo> <munderover> <mo>&Sigma;</mo> <mi>i</mi> <mi>m</mi> </munderover> <mrow> <mo>(</mo> <msub> <mi>p</mi> <mrow> <mi>i</mi> <mi>w</mi> <mi>f</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>p</mi> <mrow> <mi>l</mi> <mi>o</mi> <mi>w</mi> </mrow> </msub> <mo>)</mo> </mrow> </mrow>In formula：M is mark post unit number of units；S6-4：Cpable of lowering power after calculating mark post unit full cut-off machine：<mrow> <msub> <mi>&Delta;P</mi> <mrow> <mn>1</mn> <mi>d</mi> </mrow> </msub> <mo>=</mo> <munderover> <mo>&Sigma;</mo> <mi>i</mi> <mi>m</mi> </munderover> <msub> <mi>p</mi> <mrow> <mi>i</mi> <mi>w</mi> <mi>f</mi> </mrow> </msub> </mrow>Then whole wind power plant is in current period cpable of lowering power：ΔPd=Δ P2d+ΔP1dS6-5：If | Δ P |≤Δ P2l, then according to unit priority orders are being transported, adjusted successively by all in fortune unit operation power It is whole to minimum operation threshold value plow, until meeting condition：<mrow> <mo>|</mo> <mrow> <mi>&Delta;</mi> <mi>P</mi> </mrow> <mo>|</mo> <mo>=</mo> <munder> <mo>&Sigma;</mo> <mi>i</mi> </munder> <mrow> <mo>(</mo> <msub> <mi>p</mi> <mrow> <mi>w</mi> <mi>f</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>p</mi> <mrow> <mi>l</mi> <mi>o</mi> <mi>w</mi> </mrow> </msub> <mo>)</mo> </mrow> </mrow>S6-6：If Δ P2l≤|ΔP|≤ΔP2d, then shut down successively by fortune unit priority, until meeting condition：<mrow> <mrow> <mo>|</mo> <mrow> <mi>&Delta;</mi> <mi>P</mi> </mrow> <mo>|</mo> </mrow> <mo>=</mo> <munder> <mo>&Sigma;</mo> <mi>i</mi> </munder> <msub> <mi>p</mi> <mrow> <mi>i</mi> <mi>w</mi> <mi>f</mi> </mrow> </msub> </mrow>S6-7：If | Δ P | ＞ Δs P2d, now, Δ P '=Δ P+ Δs P2d, drop Power Control is carried out to mark post unit, if | Δ P ' | ≤ΔP1l, meet drop power control requirements, then according to unit priority orders, successively by mark post unit operation power adjust to plow, until meeting condition：<mrow> <mo>|</mo> <mrow> <msup> <mi>&Delta;P</mi> <mo>&prime;</mo> </msup> </mrow> <mo>|</mo> <mo>=</mo> <munder> <mo>&Sigma;</mo> <mi>i</mi> </munder> <mrow> <mo>(</mo> <msub> <mi>p</mi> <mrow> <mi>w</mi> <mi>f</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>p</mi> <mrow> <mi>l</mi> <mi>o</mi> <mi>w</mi> </mrow> </msub> <mo>)</mo> </mrow> </mrow>S6-8：If Δ P1l≤|ΔP′|≤ΔP1d, then shut down successively by mark post unit priority, until meeting condition：<mrow> <mrow> <mo>|</mo> <mrow> <msup> <mi>&Delta;P</mi> <mo>&prime;</mo> </msup> </mrow> <mo>|</mo> </mrow> <mo>=</mo> <munder> <mo>&Sigma;</mo> <mi>i</mi> </munder> <msub> <mi>p</mi> <mrow> <mi>i</mi> <mi>w</mi> <mi>f</mi> </mrow> </msub> </mrow>S6-9：If | Δ P ' | ＞ Δs P1d, all compressor emergency shutdowns of wind power plant are controlled.
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|---|---|---|---|---|
| CN108446792A (en) * | 2018-02-22 | 2018-08-24 | 国电南瑞科技股份有限公司 | A kind of optimization method of the iteration between Evolution Paths and the object of planning |
| CN109347143A (en) * | 2018-11-21 | 2019-02-15 | 三重能有限公司 | Wind field output power method of adjustment and device |
| CN110048468A (en) * | 2019-05-08 | 2019-07-23 | 华北电力科学研究院有限责任公司 | Thermal power plant set reformation method and device |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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-
2017
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Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105811472A (en) * | 2016-04-14 | 2016-07-27 | 国电联合动力技术有限公司 | Wind farm economy-based active power adjusting method and system |
Non-Patent Citations (1)
| Title |
|---|
| 曾雪婷等: "基于动态调峰裕度的风电并网协调优化调度", 《电网技术》 * |
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|---|---|---|---|---|
| CN108446792A (en) * | 2018-02-22 | 2018-08-24 | 国电南瑞科技股份有限公司 | A kind of optimization method of the iteration between Evolution Paths and the object of planning |
| CN108446792B (en) * | 2018-02-22 | 2021-11-05 | 国电南瑞科技股份有限公司 | Optimization method for iteration between evolution path and planning target |
| CN109347143A (en) * | 2018-11-21 | 2019-02-15 | 三重能有限公司 | Wind field output power method of adjustment and device |
| CN110048468A (en) * | 2019-05-08 | 2019-07-23 | 华北电力科学研究院有限责任公司 | Thermal power plant set reformation method and device |
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