CN102003349A - Large-scale wind power active power optimization method under limit state of wind power - Google Patents

Large-scale wind power active power optimization method under limit state of wind power Download PDF

Info

Publication number
CN102003349A
CN102003349A CN2010105394482A CN201010539448A CN102003349A CN 102003349 A CN102003349 A CN 102003349A CN 2010105394482 A CN2010105394482 A CN 2010105394482A CN 201010539448 A CN201010539448 A CN 201010539448A CN 102003349 A CN102003349 A CN 102003349A
Authority
CN
China
Prior art keywords
turbine set
energy turbine
wind energy
wind
plan
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN2010105394482A
Other languages
Chinese (zh)
Other versions
CN102003349B (en
Inventor
杨玉林
曹银利
行舟
罗剑波
李雪明
崔岗
伏岁林
陈振鬟
赵杰
李晓虎
张柏林
陈永华
刘平
徐海波
许士光
梁磊
王阳
胡仁芝
陈征
肖柱
王忠明
孙丽娟
刘天翼
张正勤
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Gansu Electric Power Co Ltd
Original Assignee
State Grid Gansu Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Gansu Electric Power Co Ltd filed Critical State Grid Gansu Electric Power Co Ltd
Priority to CN2010105394482A priority Critical patent/CN102003349B/en
Publication of CN102003349A publication Critical patent/CN102003349A/en
Application granted granted Critical
Publication of CN102003349B publication Critical patent/CN102003349B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/72Wind turbines with rotation axis in wind direction
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/76Power conversion electric or electronic aspects

Landscapes

  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention relates to a large-scale cluster wind power active power intelligent control system. The system comprises a control center station, a control master station, a control slave system and a wind power plant control executive station, wherein the control center station is connected with the control master station through a special fiber channel; the control master station is connected with the control slave system through a special fiber channel; and the control master station is connected with the wind power plant control executive station through a special fiber channel. A software is installed in the central processing unit of the control center station and can realize the large-scale wind power active power optimization method under the limit state of wind power. The optimization method is as follows: according to the current operating condition of the grid, the constraint conditions such as the sending of wind power and peak shaving are considered, the maximum allowable output of wind power in the next period is calculated in each fixed period; and the active power intelligent control system optimizes the plan of each wind power plant according to the changes of the maximum allowable output and the additional output application of each wind power plant, thus the utilization rate of the wind energy can be increased. By adopting the method, the safety and stability of the operation of the grid can be increased, the generating capacity of the wind power plant can be increased and the wind energy resources can be fully utilized.

Description

Large-scale wind power under the wind-powered electricity generation constrained state optimization method of gaining merit
Technical field
The invention belongs to the Power System and its Automation technical field, the present invention relates to the meritorious intelligent control system of a kind of large-scale cluster wind-powered electricity generation more precisely, and the meritorious optimization method of large-scale wind power under the wind-powered electricity generation constrained state that realizes by the meritorious intelligent control system of large-scale cluster wind-powered electricity generation.
Background technique
The area that wind resource enriches is generally all away from load centre, electric network composition is generally weak, some method of operation, the operation period wind-powered electricity generation send face limited, China is based on the power supply architecture of coal electricity, determined electric power system peak modulation capacity deficiency, be subjected to the restriction of peak modulation capacity, the low-load period may be forced to limit wind-powered electricity generation and be exerted oneself; Because wind-powered electricity generation exert oneself intrinsic randomness, intermittence, large-scale wind-electricity integration brings many influences for the dispatching of power netwoks operation in addition, as, easily produce the overstable limit operation of interconnection trend etc., threaten the safe and stable operation of electrical network.
Wind-powered electricity generation is gained merit and also is in the manual control stage at present, the dispatcher is for guaranteeing power grid security, conservative wind-powered electricity generation maximum is allowed to exert oneself according to working capacity than all giving each wind energy turbine set, because each wind energy turbine set wind regime is not quite similar, the wind energy turbine set plan that wind speed is big may be not enough, the wind energy turbine set plan that wind speed is little may be tood many or too much for use, and wind energy is difficult to make full use of.
Therefore, the meritorious intelligent control system of large-scale cluster wind-powered electricity generation is set, when wind-powered electricity generation is limited, constraint conditios such as the automatic ability of sending, peak modulation capacity according to electrical network, calculating the maximum wind-powered electricity generation of electrical network in real time allows to exert oneself, optimize wind-powered electricity generation according to the working capacity of each wind energy turbine set and wind regime and exert oneself, can guarantee maximizing wind power utilization resource under the power grid security prerequisite.
Summary of the invention
The technical problem to be solved in the present invention provides the meritorious intelligent control system of a kind of large-scale cluster wind-powered electricity generation, and by the meritorious optimization method of large-scale wind power under the meritorious intelligent control system realization of the large-scale cluster wind-powered electricity generation wind-powered electricity generation constrained state, thereby guaranteeing under the power grid security prerequisite maximizing wind power utilization resource.
It is as follows that the present invention solves the problems of the technologies described above the technological scheme of taking:
A kind of large-scale cluster wind-powered electricity generation intelligent control system of gaining merit, this system comprises:
1, control centre station, the central processing unit (CPU) at this control centre station is equipped with the software of the meritorious optimization method of realizing under the wind-powered electricity generation constrained state of large-scale wind power, the control centre station is used for realizing whole system is monitored in real time, realize large-scale cluster wind-powered electricity generation gain merit the intelligent coordinated control strategy of intelligent control system, planned value real-time calculating and issue, automatic reply that wind energy turbine set adds the application of exerting oneself, apply for the major functions such as switching of switching, the method for operation and the control mode of algorithm and track algorithm; And monitor the contents such as runnability, control mode, action report of the data such as the exerting oneself of each wind energy turbine set planned value data, wind energy turbine set operation, electrical network spare capacity, the crucial section of electrical network passage and wind-powered electricity generation online main transformer trend, nargin of calculating and each wind energy turbine set device in real time by the control terminal at control centre station;
2, above controlling center, be used to realize information between wind energy turbine set, control sub-station, the control centre station gather and exchange, install operation information on send and issue, the real time down of planned value that calculating is stood by control centre etc.;
3, two above control sub-stations, be used for monitoring in real time the trend of each control section of electrical network, the controlling center and the control centre that runnability, failure condition, the overload situations of detection line and crucial section are delivered to native system in real time stand, as an important information source, calculating and the foundation of coordination control decision and the important constraint conditio relevant with control strategy;
4, the meritorious control of the wind energy turbine set of the setting of each wind energy turbine set actuating station,
The meritorious control of wind energy turbine set actuating station is used for monitoring in real time exerting oneself of each wind energy turbine set, and according to control centre station distributing to each output of wind electric field scheduled conrol output of wind electric field automatically by the various methods of operation, realize output of wind electric field maximization, optimization, the little chemical control system of excision wind turbine generator maximum, maximum possible make full use of wind energy resources, and realize a super alarm and the overtime super cutter function of sending out sent out.
Adopt the special optic fibre passage between control centre station and the controlling center, adopt the special optic fibre passage between controlling center and the control sub-station, also adopt the special optic fibre passage between controlling center and the control actuating station; In order to guarantee reliability, between control centre station and the controlling center, between controlling center and each control sub-station, controlling center and the control actuating station, preferably take dual-fiber-channel, guarantee the reliability of information transmission.
Large-scale wind power under a kind of wind-powered electricity generation constrained state provided by the present invention optimization method of gaining merit, the software program stored of the meritorious optimization method of the large-scale wind power under the realization wind-powered electricity generation constrained state that the central processing unit (CPU) that relies on control centre to stand is equipped with is instructed and is realized, this method is according to the current running state of electrical network, the consideration wind-powered electricity generation is sent, constraint conditios such as peak regulation, per fixed cycle, for example 5 minutes, the wind-powered electricity generation maximum of calculating the next cycle allows to exert oneself, meritorious intelligent control system allows the application of exerting oneself that adds that the variation of exerting oneself and each wind energy turbine set propose according to the wind-powered electricity generation maximum, optimize the plan of each wind energy turbine set, thereby improve utilization ratio of wind energy; Specifically comprise following steps:
Steps A, according to the electrical network practical operation situation, each wind energy turbine set original plan in the computational domain, and the plan that issues is to each wind energy turbine set;
Step B, the existing commercial online software for calculation of use calculate the maximum wind-powered electricity generation that allows of each period electrical network and exert oneself, and according to existing commercial calculated off-line software, the calculating wind-powered electricity generation is sent section and stablized limit;
Step C, receive the application of exerting oneself that adds that each wind energy turbine set proposes;
Step D, according to next period electrical network maximum allow wind-powered electricity generation to exert oneself and each wind energy turbine set is currently exerted oneself, current planning, proposition add the application of exerting oneself, optimize that each wind energy turbine set is meritorious plans; Obtain the new plan of each wind energy turbine set;
Whether step e, check have the wind energy turbine set plan to exceed the wind energy turbine set working capacity, and whether check has relevant device, section exceeds limit; As not transfiniting, then enter step F; If any transfiniting, then enter step G;
If step F does not transfinite, should new plan be exactly last minute planning then, and will newly plan the plan of issuing to each wind energy turbine set;
Transfinite if step G has, will exceed limit part optimized distribution once more, do not transfinite, obtain last minute planning, and issue last minute planning to each wind energy turbine set until all wind energy turbine set, equipment and section.
H, next computing cycle, repeating step B~G.
The above-mentioned steps flow process is referring to Fig. 2.
Among the above-mentioned steps A, certain wind energy turbine set in the zone, for example the formula of A wind energy turbine set original plan is:
P A_initPlan=P A_cur+α(P wPlanMax-∑P wCur) (1)
In the formula: P A_initPlanBe A wind energy turbine set original plan value, P A_curExert oneself P for the A wind energy turbine set is current WPlanMaxFor the current maximum wind-powered electricity generation that allows of electrical network is exerted oneself ∑ P WCurBe the current summation of exerting oneself of all wind energy turbine set in the zone, α is the ratio that A wind energy turbine set working capacity accounts for the total working capacity of wind energy turbine set, and α is tried to achieve by following formula:
α = P A _ E - P A _ Jx Σ P E - Σ P Jx - - - ( 2 )
In the formula: P A_EBe the electric motor power of A wind energy turbine set, P A_JxBe A wind energy turbine set maintenance capacity, ∑ P EFor all wind energy turbine set electric motor powers and, ∑ P JxFor all wind energy turbine set maintenance capacities and.
Among the above-mentioned steps D, optimize the meritorious plan of each wind energy turbine set and comprise following steps, flow process is referring to Fig. 3:
D.1 calculate the wind-powered electricity generation plan total amount that needs adjustment, formula is:
P wPlanChange=P wPlanMax-∑P wPlan (3)
In the formula: P WPlanChangeBe the plan total amount that needs are adjusted, P WPlanMaxFor the current wind-powered electricity generation maximum of electrical network allows to exert oneself ∑ P WPlanFor current all wind energy turbine set desired plan and, have the wind energy turbine set desired plan value of application to equal to add in the original plan the application value, its desired plan value of wind energy turbine set of not having application equals in the original plan;
D.2, permissible error definite value P is set Dz, and with P WPlanChangeWith P DzCompare;
If P DzPurpose be to change under the little situation in order to allow in electrical network wind-powered electricity generation maximum to exert oneself, and do not have wind energy turbine set and propose to add when exerting oneself application, frequent plan for adjustment, this deviation definite value is considered according to power grid security nargin, is generally got 10MW; When wind energy turbine set had application, because of needs recomputate plan, this value got 0;
D.3 if | P WPlanChange|<P Dz, then each wind energy turbine set does not need plan for adjustment, finishes;
D.4 if P WPlanChange〉=P Dz, except that the desired plan value that satisfies each wind energy turbine set, again with P WPlanChangeDistribute to each wind energy turbine set according to the working capacity ratio, finish;
D.5 if P WPlanChange≤ (P Dz), then need to subdue altogether from each wind energy turbine set | P WPlanChange| plan just can meet the demands, and at first calculates total idle capacity P KxSum, the idle capacity brainchild does not contain application and adds the wind energy turbine set of exerting oneself greater than the plan and the actual difference of exerting oneself of actual wind energy turbine set of exerting oneself during the computation-free capacity here; With P WPlanChangeWith P KxSumCompare, whether differentiate P KxSum〉=| P WPlanChange|?,
If P KxSum〉=| P WPlanChange|, then according to idle capacity than subduing the wind energy turbine set that idle capacity is arranged, this is subdued the Shi Buhan application and adds the wind energy turbine set of exerting oneself, according to idle capacity than the formula of subduing the wind energy turbine set that idle capacity is arranged:
P ANewPlan=P APlan-β|P wPlanChange| (4)
In the formula, P ANewPlanFor the A wind energy turbine set is subdued plan after the free time, P APlanBe A wind energy turbine set original plan, β is the ratio that A wind energy turbine set idle capacity accounts for total idle capacity, and β is tried to achieve by following formula:
β = P APlan - P A _ cur P kxSum - - - ( 5 )
If P KxSum<| P WPlanChange|, then there is the wind energy turbine set of idle capacity to subdue plan and equals actual value, subdue the wind energy turbine set plan of super equal score value then, the equal score value P here AveFinger allows the wind-powered electricity generation maximum to exert oneself according to working capacity than the value of all giving each wind energy turbine set, P AveTry to achieve by following formula;
P ave=α*P wPlanMax
Among the steps d .5, described wind energy turbine set plan step of subduing super equal score value is as follows:
D.5.1 calculate all super equal score value P AveThe wind energy turbine set planned value surpass the total capacity P of equal score value OverSum, the total capacity that the planned value here surpasses super equal score value equals all wind energy turbine set planned values and the equal score value P of wind energy turbine set AveThe difference sum, calculate and to subdue the meritorious total amount P that also need subdue behind the idle capacity j,
P j=|P wPlanChange|-P kxSum (6)
And comparison P OverSumWith P jIf, P j>P OverSum, the wind energy turbine set of super equal score value is subdued plan to equal score value;
If P j≤ P OverSum, then:
D.5.2 calculate the super equal score value ratio of wind energy turbine set of super equal score value
Figure BSA00000340645500052
In the formula, P MidplanBe the plan after subduing through idle capacity of certain wind energy turbine set, P AveEqual score value for this wind energy turbine set;
D.5.3 obtain the number n of the wind energy turbine set of super equal score value, and the k of each super equal score value wind energy turbine set is sorted from big to small k 1>k 2>k 3>k 4...>k n
D.5.4 calculate all super equal score value ratios successively greater than k iWind energy turbine set fall the plan to super equal score value ratio be k iAfter the plan total amount P that can fall K_i, i=2,3...n;
D.5.5 obtain and satisfy P K_i>P jThe time i minimum value x;
D.5.6 all super equal score value ratios are higher than k X-1The plan of wind energy turbine set to reduce to super equal score value ratio be k X-1, calculating the meritorious total amount of falling is P x
D.5.7 the meritorious total amount that also need fall is (P j-P x), be higher than k from all super equal score value ratios xWind energy turbine set in, according to working capacity than co-falling plan (P j-P x).
Above-mentioned steps flow process d.5.2~d.5.7 is referring to Fig. 4.
Among the above-mentioned steps G, the distribution once more of the volume that transfinites comprises following steps, and flow process is referring to Fig. 5:
G.1 is there the wind energy turbine set plan to exceed working capacity? if do not have, then enter step g .2; Give not super wind energy turbine set if having then will exceed part according to the working capacity score, detect once more after having divided, if having superly again, then sub-distribution again until what do not have to surpass, enters step g .2 then;
G.2 is there there equipment, the section volume that transfinites? if it is super, then subdue the plan that exceeds the wind energy turbine set that comprises in limit equipment, the section, subdue according to the method for reducing among the steps d .5, part be will exceed again and the equipment of the volume of not transfiniting, the wind energy turbine set under the section given, and then check, all reach the full quota until not super or relevant device, section.
The beneficial effect that the present invention has:
The first, method of the present invention is applied to can improve the security and stability of operation of power networks in the meritorious intelligent control system of wind-powered electricity generation, improves the wind energy turbine set generated energy, makes full use of wind energy resources;
The second, method simple possible.
Three, the meritorious intelligent control system of large-scale cluster wind-powered electricity generation has the effect that improves west of a river wind-powered electricity generation comprehensive utilization ratio to come into operation half a year at the west of a river, Gansu electrical network through facts have proved.
Description of drawings
Fig. 1 is the meritorious intelligent control system structural representation of large-scale cluster wind-powered electricity generation.
Fig. 2 is the flow chart of the meritorious optimization method of large-scale wind power under the wind-powered electricity generation constrained state.
Fig. 3 is for optimizing wind energy turbine set plan flow chart.
Fig. 4 is for subduing super equal score value plan flow chart.
Fig. 5 is that safety is checked flow chart.
Fig. 6 is node system figure.
Among Fig. 6: G1, G2, G3 and G4-wind energy turbine set, the 1-first wind-powered electricity generation branch road, the 2-second wind-powered electricity generation branch road, the total road of 3-wind-powered electricity generation, 4-wind-powered electricity generation net.
The large-scale cluster wind-powered electricity generation of the embodiment intelligent control system embodiment that gains merit
As shown in Figure 1: a kind of large-scale cluster wind-powered electricity generation provided by the invention intelligent control system of gaining merit, comprise: a control centre station, a controlling center, two control sub-stations, four wind energy turbine set control actuating stations, adopt the special optic fibre passage to be connected between control centre station and the controlling center, adopt the special optic fibre passage to be connected between controlling center and the control sub-station, controlling center with control that employing special optic fibre passage is connected between the actuating station.
The central processing unit (CPU) at control centre station is equipped with the software of the meritorious optimization method of realizing under the wind-powered electricity generation constrained state of large-scale wind power.
In order to guarantee reliability, between control centre station and the controlling center, between controlling center and each control sub-station, controlling center and the control actuating station, taked dual-fiber-channel, guarantee the reliability of information transmission.
The embodiment of the meritorious optimization method of the large-scale wind power under the wind-powered electricity generation constrained state, with node system shown in Figure 6 is that example describes, wind energy turbine set G1, G2, G3, G4 working capacity all are 100MW, the electric energy of wind energy turbine set G1, G2 is merged into the first wind-powered electricity generation branch road 1, after being collected to the total road 3 of wind-powered electricity generation, the electric energy that the electric energy of wind energy turbine set G3, G4 is merged into the second wind-powered electricity generation branch road, 2, the first wind-powered electricity generation branch roads 1 and the second wind-powered electricity generation branch road 2 outputs to wind-powered electricity generation net 4.
According to step B requirement, calculate according to the online software for calculation of existing commerce that the day part electrical network is maximum to be allowed wind-powered electricity generation to exert oneself to see Table 1, calculate wind-powered electricity generation according to PSASP software and send section and stablize limit and see Table 2; Wind-powered electricity generation plan after the optimization sees Table 3, and all units are MW.
Table 1: the maximum wind-powered electricity generation that allows of electrical network is exerted oneself
Figure BSA00000340645500081
Table 2: wind-powered electricity generation is sent section and is stablized limit
Figure BSA00000340645500082
Table 3: the generation schedule after the optimization
Figure BSA00000340645500083
In this example, permissible error definite value P DzGet 10MW.
In the table 3, certain period planned value be according to the last period plan, exert oneself, application value and the maximum of this period allow wind-powered electricity generation to exert oneself to draw, equal original plan when moving for the first time.
Period 1 is moved for the first time, and according to steps A, each wind energy turbine set plan equals original plan, calculates each wind energy turbine set original plan according to formula (1), as the original plan of G1:
P A_initPlan=P A_cur+ α (P WPlanMax-∑ P WCur)=30+ (280-30-30-50-50) * 1/4=60, wherein
Figure BSA00000340645500091
Period 2, maximum permission wind-powered electricity generation is exerted oneself constant, and in the period 1, does not have wind energy turbine set to propose to add the application of exerting oneself, so periods 2 plan does not need to adjust;
Period 3, maximum permission wind-powered electricity generation is exerted oneself constant, and wind energy turbine set G1 the wind comes from the period 2, proposes to add the application 16MW that exerts oneself, and the desired plan value of wind energy turbine set G1 is 60+16=76MW, according to step D, draws the wind-powered electricity generation plan total amount that need regulate according to formula (3):
P WPlanChange=P WPlanMax-∑ P WPlan=280-(60+16)-60-80-80=-16 is because P is satisfied in (16)<0 WPlanChange≤ (P Dz), when wind energy turbine set has application, P DzValue is taken as 0, and the among the execution in step D be the step d.5, does not contain application during the computation-free capacity and adds the wind energy turbine set of exerting oneself, and calculates total idle capacity and is:
P kxSum=(P G2_Plan-P G2_cur)+(P G3_plan-P G3_cur)+(P G4_plan-P G4_cur)=(60-40)+(80-50)+(80-50)=80MW,
According to formula (5), promptly
Figure BSA00000340645500092
Draw:
The ratio of wind energy turbine set G2, G3, G4 idle capacity is respectively 20/80,30/80, and 30/80;
According to formula (4), i.e. P ANewPlan=P APlan-β | P WPlanChange| draw:
Plan=P of wind energy turbine set G2 ANewPlan=P APlan-β | P WPlanChange|=60-16*2/8=56MW,
The plan that in like manner draws wind energy turbine set G3, G4 is respectively 74MW, 74MW;
According to step e,, no out-of-limit by checking;
According to step F, the plan that issues is to each wind energy turbine set;
Period 4, maximum permission wind-powered electricity generation is exerted oneself constant, and in the period 3, wind energy turbine set G1, G2 propose to add the application 20MW that exerts oneself respectively,
According to step D, the plan of wind energy turbine set G1, G2 added 20MW respectively after, wind energy turbine set G1, G2 desired plan value are respectively 96MW, 76MW, the plan summation becomes 320MW, allows gross capability 280MW;
According to formula (3), i.e. P WPlanChange=P WPlanMax-∑ P WPlan, drawing need be from four wind energy turbine set G3, G4, G3 and G4 plan for adjustment total amount:
P WPlanChange=P WPlanMax-∑ P WPlan=(280-320)=-40MW, because P is satisfied in (40)<0 WPlanChange≤ (P Dz), when wind energy turbine set has application, P DzValue is taken as 0, and the among the execution in step D be the step d.5, and wind energy turbine set G3, G4 have idle capacity, and the computation-free total capacity is
P kxSum=(P G3_plan-P G3_cur)+(P G4_plan-P G4_cur)=(74-60)+(74-60)=28MW,
Since 28<40, equal the actual 60MW of exerting oneself so subdue the plan of back wind energy turbine set G 3, G4, also need the amount of subduing P after calculating is subdued according to formula (6) j=| P WPlanChange|-P KxSum=40-28=12MW, subdue plan according to super equal score value ratio again, the identical 280/4=70 of equal score value of wind energy turbine set G1, G2, G3 and G4, wind energy turbine set G1, G2 are super, and equal score value ratio is respectively 96/70,76/70, wind energy turbine set G1 and G2 planned value surpass the total capacity P of equal score value OverSumEqual 32MW, satisfy P j<P OverSum, wind energy turbine set G1 subdues super equal score value ratio when identical with wind energy turbine set G2, can the amount of subduing be 20MW, so only need checking electric field G1, draws wind energy turbine set G1 plan and is 84MW, and wind energy turbine set G2 plan is 76MW;
According to step e, check the back and find the first wind-powered electricity generation branch road 1 volume that transfinites, so,, subdue plan according to super equal score value ratio once more according to step G, finally draw wind energy turbine set G1 plan 75MW, wind energy turbine set G2 plans 75MW, and the first wind-powered electricity generation branch road 1 part 10MW that transfinites gives and transfinite device-independent wind energy turbine set G3 and wind energy turbine set G4, the plan of wind energy turbine set G3 and wind energy turbine set G4 all becomes 65MW, forms last minute planning and is issued to wind energy turbine set;
Period 5, electrical network is maximum to allow the wind-powered electricity generation decline of exerting oneself;
No wind energy turbine set application of periods 4 adds exerts oneself;
According to step D, according to formula (3), calculating needs to adjust wind-powered electricity generation plan total amount:
P WPlanChange=P WPlanMax-∑ P WPlan=200-280=-80, because (80)<(10), when wind energy turbine set does not have application, P DzValue is taken as 10,, satisfy P WPlanChange≤ (P Dz), the among the execution in step D be the step d.5, the free time that disappears earlier, subdue according to super equal score value ratio again, and form last minute planning;
According to step e,, no out-of-limit by checking;
According to step F, the plan that issues is to each wind energy turbine set;
Period 6, electrical network is maximum to allow wind-powered electricity generation increases of exerting oneself, and no wind energy turbine set application of periods 5 adds exerts oneself, according to step D, and according to formula (3), needs adjustment wind-powered electricity generation plan total amount:
P WPlanChange=P WPlanMax-∑ P WPlan=220-200=20, because 20>10, satisfy P WPlanChange〉=P Dz, when wind energy turbine set does not have application, P DzValue is taken as 10,, the among the execution in step D be the step d.4, except that the desired plan value that satisfies each wind energy turbine set, again with P WPlanChangeDistribute to each wind energy turbine set according to the working capacity ratio, form last minute planning;
According to step e,, no out-of-limit by checking;
According to step F, the plan that issues is to each wind energy turbine set;
Period 7, electrical network is maximum to allow the wind-powered electricity generation decline of exerting oneself;
Period 6, wind energy turbine set G3, G4 the wind comes from, proposes to add the application of exerting oneself, and all be 20MW, wind energy turbine set G3, G4 desired plan value all are 75MW;
According to step D, according to formula (3), calculating needs to adjust wind-powered electricity generation plan total amount:
P WPlanChange=P WPlanMax-∑ P WPlan=210-(220+40)=-50 is because P is satisfied in (50)<0 WPlanChange≤ (P Dz), when wind energy turbine set has application, P DzValue is taken as 0, and the among the execution in step D be the step d.5, and this moment, wind energy turbine set G1, G2 were calm, and idle total capacity is:
P KxSum=(P G1_plan-P G1_cur)+(P G2_plan-P G2_cur)=(55-35)+(55-25)=50MW, only subdue just satisfied requirement, the formation last minute planning subdued of idle capacity;
According to step e,, no out-of-limit by checking;
According to step F, the plan that issues is to each wind energy turbine set;
Period 8, electrical network is maximum to allow the wind-powered electricity generation increase of exerting oneself;
Period 7, wind energy turbine set G3, G4 the wind comes from, proposes to add the application of exerting oneself, and all be 20MW, wind energy turbine set G3, G4 desired plan value all are 95MW;
According to step D, according to formula (3), calculating needs to adjust wind-powered electricity generation plan total amount:
P WPlanChange=P WPlanMax-∑ P WPlan=240-(210+40)=-10 according to (2) step of D step, proposes to add when exerting oneself application P as wind energy turbine set DzGet 0, P is satisfied in (10)<0 WPlanChange≤ (P Dz), the among the execution in step D be the step d.5, and this moment, wind energy turbine set G1, G2 were calm, and idle total capacity be (35-30)+(25-20)=10MW, only subdues idle capacity and just satisfies and subdue requirement, the formation last minute planning;
According to step e,, no out-of-limit by checking;
According to step F, the plan that issues is to each wind energy turbine set;
Period 9, the maximum wind-powered electricity generation that allows is exerted oneself change greatly;
Periods 8, no wind energy turbine set added the application of exerting oneself, and according to step D, according to formula (3), calculating needs to adjust wind-powered electricity generation plan total amount:
P WPlanChange=P WPlanMax-∑ P WPlan=280-240=40, because 40>10, satisfy P WPlanChange〉=P Dz, when wind energy turbine set does not have application, P DzValue is taken as 10, and the d.4 step among the execution in step D is except that the desired plan value that satisfies each wind energy turbine set, again with P WPlanChangeDistribute to each wind energy turbine set according to the working capacity ratio, the plan of wind energy turbine set G1, G2, G3 and G4 is respectively 40MW, 30MW, 105MW and 105MW;
Check according to step e, wind energy turbine set G3, G4 all exceed working capacity 5MW;
According to step G, this amount is given wind energy turbine set G1, G2, the plan that draws wind energy turbine set G1, G2 is respectively 45MW, 35MW, forms last minute planning and is issued to wind energy turbine set;
Period 10, the maximum wind-powered electricity generation that allows is exerted oneself constant;
Periods 9 wind energy turbine set G3, G4 the wind comes from, propose to add the application of exerting oneself, and be respectively 20MW, 30MW, wind energy turbine set G3, G4 desired plan value all are 65MW;
According to step D, according to formula (3), calculating needs to adjust wind-powered electricity generation plan total amount;
P WPlanChange=P WPlanMax-∑ P WPlan=280-(280+50)=-50 is because P is satisfied in (50)<0 WPlanChange≤ (P Dz), when wind energy turbine set has application, P DzValue is taken as 0, and the among the execution in step D be the step d.5, the free time that disappears earlier, subdue according to super equal score value ratio again, and form last minute planning;
According to step e,, no out-of-limit by checking;
According to step F, the plan that issues is to each wind energy turbine set;
Period 11, the maximum wind-powered electricity generation that allows is exerted oneself constant;
Period 10, all the wind comes from, wind energy turbine set G1, G2, G3 and G4 propose to add the application of exerting oneself, and applications are respectively 15MW, 15MW, 20MW and 20MW, and the desired plan value is respectively 80MW, 80MW, 95MW and 95MW;
According to step D, according to formula (3), calculating needs to adjust wind-powered electricity generation plan total amount:
P WPlanChange=P WPlanMax-∑ P WPlan=280-(80+80+95+95)=-70 is because P is satisfied in (70)<0 WPlanChange≤ (P Dz), when wind energy turbine set has application, P DzValue is taken as 0; Among the execution in step D the be the step d.5, does not have idle capacity, subdues according to super equal score value ratio, forms last minute planning, and this last minute planning is to each wind energy turbine set justice as can be seen;
According to step e,, no out-of-limit by checking;
According to step F, the plan that issues is to each wind energy turbine set.
Example shows, utilization this method can satisfy under the prerequisite of power grid security, in conjunction with wind-powered electricity generation exert oneself randomness, intermittent characteristics, according to complementary between the wind-powered electricity generation and consider fairness to be optimized distribution, guarantees the wind-powered electricity generation maximization of exerting oneself.

Claims (9)

1. the one kind large-scale meritorious intelligent control system of cluster wind-powered electricity generation is characterized in that this system comprises: control centre station, controlling center, control sub-station, wind energy turbine set control actuating station; Adopt the special optic fibre passage to be connected between control centre station and the controlling center, adopt the special optic fibre passage to be connected between controlling center and the control sub-station, controlling center controls with wind energy turbine set that employing special optic fibre passage is connected between the actuating station.
2. a kind of large-scale cluster wind-powered electricity generation as claimed in claim 1 intelligent control system of gaining merit, it is characterized in that: the control centre station is one, and controlling center is one, and control sub-station is two, and wind energy turbine set control actuating station is four.
3. a kind of large-scale cluster wind-powered electricity generation as claimed in claim 1 or 2 intelligent control system of gaining merit is characterized in that: the central processing unit (CPU) at control centre station is equipped with the software of the meritorious optimization method of realizing under the wind-powered electricity generation constrained state of large-scale wind power.
4. a kind of large-scale cluster wind-powered electricity generation as claimed in claim 3 intelligent control system of gaining merit, it is characterized in that: the special optic fibre passage that connects between control centre station and the controlling center is a dual-fiber-channel, the special optic fibre passage that connects between controlling center and the control sub-station is a dual-fiber-channel, and the special optic fibre passage that connects between controlling center and the wind energy turbine set control actuating station is a dual-fiber-channel.
5. the meritorious optimization method of the large-scale wind power under the wind-powered electricity generation constrained state, the software program stored of the meritorious optimization method of the large-scale wind power under the realization wind-powered electricity generation constrained state that the central processing unit (CPU) that relies on control centre to stand is equipped with is instructed and is realized, this method is according to the current running state of electrical network, the consideration wind-powered electricity generation is sent, constraint conditios such as peak regulation, the wind-powered electricity generation maximum that per fixed cycle is calculated the next cycle allows to exert oneself, meritorious intelligent control system allows the application of exerting oneself that adds that the variation of exerting oneself and each wind energy turbine set propose according to the wind-powered electricity generation maximum, optimize the plan of each wind energy turbine set, thereby improve utilization ratio of wind energy; Specifically comprise following steps:
Steps A, according to the electrical network practical operation situation, each wind energy turbine set original plan in the computational domain, and the plan that issues is to each wind energy turbine set;
Step B, the existing commercial online software for calculation of use calculate the maximum wind-powered electricity generation that allows of each period electrical network and exert oneself, and according to existing commercial calculated off-line software, the calculating wind-powered electricity generation is sent section and stablized limit;
Step C, receive the application of exerting oneself that adds that each wind energy turbine set proposes;
Step D, according to next period electrical network maximum allow wind-powered electricity generation to exert oneself and each wind energy turbine set is currently exerted oneself, current planning, proposition add the application of exerting oneself, optimize that each wind energy turbine set is meritorious plans; Obtain the new plan of each wind energy turbine set;
Whether step e, check have the wind energy turbine set plan to exceed the wind energy turbine set working capacity, and whether check has relevant device, section exceeds limit; As not transfiniting, then enter step F; If any transfiniting, then enter step G;
If step F does not transfinite, should new plan be exactly last minute planning then, and will newly plan the plan of issuing to each wind energy turbine set;
Transfinite if step G has, will exceed limit part optimized distribution once more, do not transfinite, obtain last minute planning, and issue last minute planning to each wind energy turbine set until all wind energy turbine set, equipment and section.
H, next computing cycle, repeating step B~G.
6. the optimization method of gaining merit of the large-scale wind power under a kind of wind-powered electricity generation constrained state as claimed in claim 5, in the described steps A, certain wind energy turbine set in the zone, for example the formula of A wind energy turbine set original plan is:
P A_initPlan=P A_cur+α(P wPlanMax-∑P wCur) (1)
In the formula: P A_initPlanBe A wind energy turbine set original plan value, P A_curExert oneself P for the A wind energy turbine set is current WPlanMaxFor the current maximum wind-powered electricity generation that allows of electrical network is exerted oneself ∑ P WCurBe the current summation of exerting oneself of all wind energy turbine set in the zone, α is the ratio that A wind energy turbine set working capacity accounts for the total working capacity of wind energy turbine set, and α is tried to achieve by following formula:
α = P A _ E - P A _ Jx Σ P E - Σ P Jx - - - ( 2 )
In the formula: P A_EBe the electric motor power of A wind energy turbine set, P A_JxBe A wind energy turbine set maintenance capacity, ∑ P EFor all wind energy turbine set electric motor powers and, ∑ P JxFor all wind energy turbine set maintenance capacities and.
7. as the meritorious optimization method of the large-scale wind power under claim 5 or the 6 described a kind of wind-powered electricity generation constrained state, among the described step D, optimize the meritorious plan of each wind energy turbine set and comprise following steps:
D.1 calculate the wind-powered electricity generation plan total amount that needs adjustment, formula is:
P wPlanChange=P wPlanMax-∑P wPlan (3)
In the formula: P WPlanChangeBe the plan total amount that needs are adjusted, P WPlanMaxFor the current wind-powered electricity generation maximum of electrical network allows to exert oneself ∑ P WPlanFor current all wind energy turbine set desired plan and, have the wind energy turbine set desired plan value of application to equal to add in the original plan the application value, its desired plan value of wind energy turbine set of not having application equals in the original plan;
D.2, permissible error definite value P is set Dz, and with P WPlanChangeWith P DzCompare;
Deviation definite value P DzConsider according to power grid security nargin, generally get 10MW; When wind energy turbine set had application, this value got 0;
D.3 if | P WPlanChange|<P Dz, then each wind energy turbine set does not need plan for adjustment, finishes;
D.4 if P WPlanChange〉=P Dz, except that the desired plan value that satisfies each wind energy turbine set, again with P WPlanChangeDistribute to each wind energy turbine set according to the working capacity ratio, finish;
D.5 if P WPlanChange≤ (P Dz), then need to subdue altogether from each wind energy turbine set | P WPlanChange| plan just can meet the demands, and at first calculates total idle capacity P KxSum, the idle capacity brainchild does not contain application and adds the wind energy turbine set of exerting oneself greater than the plan and the actual difference of exerting oneself of actual wind energy turbine set of exerting oneself during the computation-free capacity here; With P WPlanChangeWith P KxSumCompare, whether differentiate P KxSum〉=| P WPlanChange|?,
If P KxSum〉=| P WPlanChange|, then according to idle capacity than subduing the wind energy turbine set that idle capacity is arranged, this is subdued the Shi Buhan application and adds the wind energy turbine set of exerting oneself, according to idle capacity than the formula of subduing the wind energy turbine set that idle capacity is arranged:
P ANewPlan=P APlan-β|P wPlanChange| (4)
In the formula, P ANewPlanFor the A wind energy turbine set is subdued plan after the free time, P APlanBe A wind energy turbine set original plan, β is the ratio that A wind energy turbine set idle capacity accounts for total idle capacity, and β is tried to achieve by following formula:
β = P APlan - P A _ cur P kxSum - - - ( 5 )
If P KxSum<| P WPlanChange|, then there is the wind energy turbine set of idle capacity to subdue plan and equals actual value, subdue the wind energy turbine set plan of super equal score value then, the equal score value P here Ave, refer to the wind-powered electricity generation maximum is allowed to exert oneself according to working capacity than the value of all giving each wind energy turbine set, P AveTry to achieve by following formula;
P ave=α*P wPlanMax
8. the optimization method of gaining merit of the large-scale wind power under a kind of wind-powered electricity generation constrained state as claimed in claim 7,
Among the described steps d .5, described wind energy turbine set plan step of subduing super equal score value is as follows:
D.5.1 calculate all super equal score value P AveThe wind energy turbine set planned value surpass the total capacity P of equal score value OverSum, the total capacity that the planned value here surpasses super equal score value equals all wind energy turbine set planned values and the equal score value P of wind energy turbine set AveThe difference sum, calculate and to subdue the meritorious total amount P that also need subdue behind the idle capacity j,
P j=|P wPlanChange|-P kxSum (6)
And comparison P OverSumWith P jIf, P j>P OverSum, the wind energy turbine set of super equal score value is subdued plan to equal score value;
If P j≤ P OverSum, then:
D.5.2 calculate the super equal score value ratio of wind energy turbine set of super equal score value
Figure FSA00000340645400041
In the formula, P MidplanBe the plan after subduing through idle capacity of certain wind energy turbine set, P AveEqual score value for this wind energy turbine set;
D.5.3 obtain the number n of the wind energy turbine set of super equal score value, and the k of each super equal score value wind energy turbine set is sorted from big to small k 1>k 2>k 3>k 4...>k n
D.5.4 calculate all super equal score value ratios successively greater than k iWind energy turbine set fall the plan to super equal score value ratio be k iAfter the plan total amount P that can fall K_i, i=2,3...n;
D.5.5 obtain and satisfy P K_i>P jThe time i minimum value x;
D.5.6 all super equal score value ratios are higher than k X-1The plan of wind energy turbine set to reduce to super equal score value ratio be k X-1, calculating the meritorious total amount of falling is P x
D.5.7 the meritorious total amount that also need fall is (P j-P x), be higher than k from all super equal score value ratios xWind energy turbine set in, according to working capacity than co-falling plan (P j-P x).
9. the optimization method of gaining merit of the large-scale wind power under a kind of wind-powered electricity generation constrained state as claimed in claim 8, among the described step G, the distribution once more of the volume that transfinites comprises following steps:
G.1 is there the wind energy turbine set plan to exceed working capacity? if do not have, then enter step g .2; Give not super wind energy turbine set if having then will exceed part according to the working capacity score, detect once more after having divided, if having superly again, then sub-distribution again until what do not have to surpass, enters step g .2 then;
G.2 is there there equipment, the section volume that transfinites? if it is super, then subdue the plan that exceeds the wind energy turbine set that comprises in limit equipment, the section, subdue according to the method for reducing among the steps d .5, part be will exceed again and the equipment of the volume of not transfiniting, the wind energy turbine set under the section given, and then check, all reach the full quota until not super or relevant device, section.
CN2010105394482A 2010-11-05 2010-11-05 Large-scale wind power active power optimization method under limit state of wind power Expired - Fee Related CN102003349B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2010105394482A CN102003349B (en) 2010-11-05 2010-11-05 Large-scale wind power active power optimization method under limit state of wind power

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2010105394482A CN102003349B (en) 2010-11-05 2010-11-05 Large-scale wind power active power optimization method under limit state of wind power

Publications (2)

Publication Number Publication Date
CN102003349A true CN102003349A (en) 2011-04-06
CN102003349B CN102003349B (en) 2013-02-06

Family

ID=43810982

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2010105394482A Expired - Fee Related CN102003349B (en) 2010-11-05 2010-11-05 Large-scale wind power active power optimization method under limit state of wind power

Country Status (1)

Country Link
CN (1) CN102003349B (en)

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102780237A (en) * 2012-08-13 2012-11-14 山东大学 Limited control system and method for large-scale highly-concentrated wind power generation ramp
CN102842916A (en) * 2011-08-31 2012-12-26 山东电力集团公司青岛供电公司 Information acquisition method, scheduling method and system for grid connection of multiple wind farms
CN103050989A (en) * 2012-10-11 2013-04-17 中国电力科学研究院 Active power intelligent control system and method for cluster wind farm
CN103219751A (en) * 2013-05-08 2013-07-24 东南大学 Control method of active power of clustered wind power plants
CN103400217A (en) * 2013-07-10 2013-11-20 国电南瑞科技股份有限公司 Wind power compatibility network safety analysis method for coordinated dispatching of wind power and conventional energy sources
WO2013174090A1 (en) * 2012-05-22 2013-11-28 中国电力科学研究院 Wind farm active power controlling method for improving the generating efficiency of the wind farm
CN106026178A (en) * 2016-07-15 2016-10-12 许继集团有限公司 Regional multi-distributed-power-supply autonomous power generation control method and device
CN107846045A (en) * 2017-11-28 2018-03-27 国网甘肃省电力公司电力科学研究院 The control method that a kind of battery energy storage system tracing wind-light plan is contributed
CN108448655A (en) * 2018-02-13 2018-08-24 中国电力科学研究院有限公司 A kind of passive power grid wide area electricity-generating control method and system
CN114156934A (en) * 2021-11-04 2022-03-08 云南电网有限责任公司 Wind-water coordination active real-time control method based on online dynamic quota adjustment
CN114665521A (en) * 2022-04-19 2022-06-24 南方电网科学研究院有限责任公司 Multi-offshore wind power plant coordination control system

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1959136A2 (en) * 2007-02-01 2008-08-20 REpower Systems AG Wind park including wind energy arrays with turn angle moved towards each other
CN101286643A (en) * 2008-06-12 2008-10-15 国网南京自动化研究院 Wind power field energy management system having power grid access control function
CN101764413A (en) * 2009-11-25 2010-06-30 中国电力科学研究院 System simulation method for connecting large-scale wind power into power grid in centralization way
CN101860042A (en) * 2010-05-14 2010-10-13 许继集团有限公司 Method for cooperatively controlling active power of wind farm

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1959136A2 (en) * 2007-02-01 2008-08-20 REpower Systems AG Wind park including wind energy arrays with turn angle moved towards each other
CN101286643A (en) * 2008-06-12 2008-10-15 国网南京自动化研究院 Wind power field energy management system having power grid access control function
CN101764413A (en) * 2009-11-25 2010-06-30 中国电力科学研究院 System simulation method for connecting large-scale wind power into power grid in centralization way
CN101860042A (en) * 2010-05-14 2010-10-13 许继集团有限公司 Method for cooperatively controlling active power of wind farm

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
《电力系统自动化》 20100910 李雪明 等 大型集群风电有功智能控制系统设计 59-63 1-4 第34卷, 第17期 *

Cited By (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102842916A (en) * 2011-08-31 2012-12-26 山东电力集团公司青岛供电公司 Information acquisition method, scheduling method and system for grid connection of multiple wind farms
WO2013029562A1 (en) * 2011-08-31 2013-03-07 山东电力集团公司青岛供电公司 Information sampling method, dispatching method and system used for grid-connected wind farms
CN105162171A (en) * 2011-08-31 2015-12-16 山东电力集团公司青岛供电公司 Scheduling system for grid connection of multiple wind electric fields
WO2013174090A1 (en) * 2012-05-22 2013-11-28 中国电力科学研究院 Wind farm active power controlling method for improving the generating efficiency of the wind farm
CN102780237A (en) * 2012-08-13 2012-11-14 山东大学 Limited control system and method for large-scale highly-concentrated wind power generation ramp
CN102780237B (en) * 2012-08-13 2015-09-30 山东大学 The limited control system that extensive height concentrates wind power generation to climb and method
CN103050989B (en) * 2012-10-11 2016-04-20 中国电力科学研究院 A kind of cluster wind power plant active power intelligent control system and method
CN103050989A (en) * 2012-10-11 2013-04-17 中国电力科学研究院 Active power intelligent control system and method for cluster wind farm
CN103219751A (en) * 2013-05-08 2013-07-24 东南大学 Control method of active power of clustered wind power plants
CN103219751B (en) * 2013-05-08 2015-04-29 东南大学 Control method of active power of clustered wind power plants
CN103400217A (en) * 2013-07-10 2013-11-20 国电南瑞科技股份有限公司 Wind power compatibility network safety analysis method for coordinated dispatching of wind power and conventional energy sources
CN103400217B (en) * 2013-07-10 2016-06-01 国电南瑞科技股份有限公司 Wind-powered electricity generation and conventional energy resources coordinated scheduling wind-powered electricity generation consistency network security analytical procedure
CN106026178A (en) * 2016-07-15 2016-10-12 许继集团有限公司 Regional multi-distributed-power-supply autonomous power generation control method and device
CN106026178B (en) * 2016-07-15 2019-08-23 许继集团有限公司 A kind of more distributed generation resources self-discipline electricity-generating control methods in region and device
CN107846045A (en) * 2017-11-28 2018-03-27 国网甘肃省电力公司电力科学研究院 The control method that a kind of battery energy storage system tracing wind-light plan is contributed
CN107846045B (en) * 2017-11-28 2023-06-02 国网甘肃省电力公司电力科学研究院 Control method for tracking wind-solar planned output of battery energy storage system
CN108448655A (en) * 2018-02-13 2018-08-24 中国电力科学研究院有限公司 A kind of passive power grid wide area electricity-generating control method and system
CN114156934A (en) * 2021-11-04 2022-03-08 云南电网有限责任公司 Wind-water coordination active real-time control method based on online dynamic quota adjustment
CN114156934B (en) * 2021-11-04 2024-01-26 云南电网有限责任公司 Wind-water coordination active real-time control method based on online dynamic quota adjustment
CN114665521A (en) * 2022-04-19 2022-06-24 南方电网科学研究院有限责任公司 Multi-offshore wind power plant coordination control system
CN114665521B (en) * 2022-04-19 2023-03-10 南方电网科学研究院有限责任公司 Multi-offshore wind power plant coordination control system

Also Published As

Publication number Publication date
CN102003349B (en) 2013-02-06

Similar Documents

Publication Publication Date Title
CN102003349B (en) Large-scale wind power active power optimization method under limit state of wind power
CN102064562B (en) Active power optimization method for combined transmission of wind power and thermal power
CN108092324B (en) AGC control system and control method for wind power participating in peak shaving frequency modulation
CN102280878B (en) Wind power penetration optimization evaluation method based on SCED
CN103050989B (en) A kind of cluster wind power plant active power intelligent control system and method
Yuan et al. Cross-regional integrated transmission of wind power and pumped-storage hydropower considering the peak shaving demands of multiple power grids
CN102097828A (en) Wind power optimal scheduling method based on power forecast
CN108123492A (en) A kind of generation schedule optimization method a few days ago for considering thermoelectricity electricity accumulation of heat combined adjusting peak
CN102003337A (en) Active power control method of master station-end wind power field subject to wind power grid integration
CN103545848B (en) Active power of photovoltaic power station group control method for coordinating
CN114243709A (en) Scheduling operation method capable of adjusting resource layering and grading at demand side
CN112886624B (en) Three-station-in-one substation energy storage device planning and designing system and method
Li et al. Integration and energy management of large-scale lithium-ion battery energy storage station
Yang et al. Multi-Objective optimal scheduling of island microgrids considering the uncertainty of renewable energy output
Li et al. A coordinated peak shaving strategy using neural network for discretely adjustable energy-intensive load and battery energy storage
CN104253439B (en) Battery energy storage power station reactive power is distributed and control method
CN102184468A (en) Active scheduling method for intermittent energy power generation
CN116308874A (en) Regional carbon emission flow analysis method based on electric power system carbon emission flow theory
CN109004641A (en) A kind of microgrid source net lotus control method for coordinating based on energy source optimization scheduling
CN115473282B (en) Stepped hydropower and photovoltaic complementary power generation system and control method
CN113991659B (en) Distributed power supply cluster scheduling method, device and storage medium for power grid peak regulation and voltage regulation
Xu et al. A new operation model of HVDC tie-line for promoting renewable energy accommodation
Chen et al. Potential Assessment Method of Integrated Demand Response and Its Utilization in Park Operation
Qi et al. Study on the cooperative optimized operation of power system source-grid-load-storage based on Gurobi mathematical programming
Huang et al. Low-carbon economic dispatch of virtual power plant considering uncertainty of wind power

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
C17 Cessation of patent right
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20130206

Termination date: 20131105