CN102003349B - Large-scale wind power active power optimization method under limit state of wind power - Google Patents

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 more precisely the meritorious intelligent control system of a kind of large-scale cluster wind-powered electricity generation, and the meritorious optimization method of large-scale wind power under the wind-powered electricity generation constrained state that is realized 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 take the coal electricity as main power supply architecture, determined that the electric power system peak modulation capacity is not enough, be subjected to the restriction of peak modulation capacity, the low-load period may be forced to limit wind-powered electricity generation and exert oneself; Because wind-powered electricity generation exert oneself intrinsic randomness, intermittence, large-scale wind-electricity integration brings many impacts 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 large 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 take full advantage of.

Therefore, the meritorious intelligent control system of large-scale cluster wind-powered electricity generation is set, when wind-powered electricity generation is limited, the constraint conditios such as the automatic ability of sending according to electrical network, peak modulation capacity, calculating in real time the electrical network maximum wind 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 the maximized wind energy resources that utilizes 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 the maximized wind energy resources that utilizes.

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 large-scale wind power of realizing under the wind-powered electricity generation constrained state, control centre station is used for realizing whole system is carried out Real Time Monitoring, realize large-scale cluster wind-powered electricity generation gain merit intelligent control system Intelligent Coordinating Control Strategy, 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 the contents such as the runnability of the data such as the exerting oneself of each wind energy turbine set planned value data of calculating of the control terminal Real Time Monitoring by control centre station, wind energy turbine set operation, electrical network spare capacity, electrical network passage key sections and wind-powered electricity generation online main transformer trend, nargin and each wind energy turbine set device, control mode, action report;

2, above controlling center, the information between wind energy turbine set, control sub-station, the control centre station of be used for realizing 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, the trend that is used for each control section of Real-Time Monitoring electrical network, runnability, failure condition, the overload situations of detection line and key sections are delivered to controlling center and the control centre station of native system in real time, as the foundation of an important information source, calculating and the coordination control decision relevant with control strategy and important constraint conditio;

4, the wind energy turbine set real power control actuating station of the setting of each wind energy turbine set,

Wind energy turbine set real power control actuating station is used for exerting oneself of each wind energy turbine set of Real-Time Monitoring, and automatically distribute to each output of wind electric field plan according to the control centre station by the various methods of operation and control output of wind electric field, realize output of wind electric field maximization, optimization, the control of littleization of excision wind turbine generator maximum, maximum possible take full advantage of wind energy resources, and realize superly sending out alarm and overtime super sending out cut the machine function.

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 programming instruction of the software storage 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 realized, the method is according to the current running state of electrical network, the consideration wind-powered electricity generation is sent, the 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 the 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 issue the plan to each wind energy turbine set;

Step B, the existing commercial online software for calculation of use calculate the maximum permission of each period electrical network wind-powered electricity generation and exert oneself, and according to existing commercial calculated off-line software, calculate wind-powered electricity generation and send the section stability limitation;

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 to issue plan to each wind energy turbine set;

Transfinite if step G has, will exceed the limit part and again optimize distribution, until all wind energy turbine set, equipment and section do not transfinite, obtain last minute planning, and issue last minute planning to each wind energy turbine set.

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_initPlan}Be A wind energy turbine set original plan value, P _{A_cur}Exert 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:

$\mathrm{\α}=\frac{P_{A\_E}-P_{A\_\mathrm{Jx}}}{\mathrm{\Σ}{P}_E-\mathrm{\Σ}{P}_{\mathrm{Jx}}}---\left(2\right)$

In the formula: P _{A_E}Be the electric motor power of A wind energy turbine set, P _{A_Jx}Be 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, equal in the original plan without its desired plan value of wind energy turbine set of application;

D.2, permissible error definite value P is set _Dz, and with P _WPlanChangeWith P _DzCompare;

If P _DzPurpose be in the situation that electrical network wind-powered electricity generation maximum allows to exert oneself and changes not quite, and propose to add when exerting oneself application without wind energy turbine set, 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 needs recomputate plan, this value got 0;

If d.3 | P _WPlanChange|＜P _Dz, then each wind energy turbine set does not need plan for adjustment, finishes;

If P d.4 _WPlanChange〉=P _Dz, except 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;

If P d.5 _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 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 the wind energy turbine set of subduing available free capacity, this is subdued Shi Buhan application and adds the wind energy turbine set of exerting oneself, according to the formula of idle capacity than the wind energy turbine set of subduing available free capacity:

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:

$\mathrm{\β}=\frac{P_{\mathrm{APlan}}-P_{A\_\mathrm{cur}}}{P_{\mathrm{kxSum}}}---\left(5\right)$

If P _KxSum＜| P _WPlanChange|, then the wind energy turbine set of available free capacity subdue the plan equal actual value, then subdue the wind energy turbine set plan of super equal score value, 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 _AveTried 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

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 successively all super equal score value ratios 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 be down 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 again sub-distribution 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 nothing then enters step g .2; Give not super wind energy turbine set if having then will exceed part according to the working capacity score, again detect after divide, if having again superly, then again sub-distribution until do not surpass, then enters step g .2;

G.2 is there there equipment, the section volume that transfinites? if 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, until not super or relevant device, section all reach the full quota.

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, takes full advantage 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 Hexi Corridor electrical network, to be proven.

Description of drawings

Fig. 1 is the meritorious Structure of intelligent control system schematic diagram 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 the Security Checking flow chart.

Fig. 6 is node system figure.

Among Fig. 6: G1, G2, G3 and G4-wind energy turbine set, 1-the first wind-powered electricity generation branch road, 2-the 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 large-scale wind power of realizing under the wind-powered electricity generation constrained state.

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, describe as an example of node system shown in Figure 6 example, 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 the section stability limitation 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

Table 2: wind-powered electricity generation is sent the section stability limitation

Table 3: the generation schedule after the optimization

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), such 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

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, therefore 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 to 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), namely

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, by checking, without out-of-limit;

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 respectively to add the application 20MW that exerts oneself,

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 to 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, the available free capacity of wind energy turbine set G3, G4, 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 therefore subdue the plan of rear 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, therefore 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, find the first wind-powered electricity generation branch road 1 volume that transfinites after checking, therefore, according to step G, again subdue plan according to super equal score value ratio, 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;

Period 4 adds without the wind energy turbine set application 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 during without 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 first, subdue according to super equal score value ratio again, and form last minute planning;

According to step e, by checking, without out-of-limit;

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 the period 5 adds without the wind energy turbine set application exerts oneself, and according to step D, 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 without when application, P _DzValue is taken as 10,, the among the execution in step D be the step d.4, except 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, by checking, without out-of-limit;

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, by checking, without out-of-limit;

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, when having wind energy turbine set to propose to add to exert oneself application, P _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, by checking, without out-of-limit;

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;

Period 8 adds the application of exerting oneself without wind energy turbine set, 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 without when application, P _DzValue is taken as 10, and the d.4 step among the execution in step D is except 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 first, subdue according to super equal score value ratio again, and form last minute planning;

According to step e, by checking, without out-of-limit;

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, can find out that this last minute planning is to each wind energy turbine set justice;

According to step e, by checking, without out-of-limit;

According to step F, the plan that issues is to each wind energy turbine set.

Example shows, uses this method satisfying 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 (5)

1. the meritorious optimization method of the large-scale wind power under the wind-powered electricity generation constrained state, the programming instruction of the software storage 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 realized, the method is according to the current running state of electrical network, the consideration wind-powered electricity generation is sent, peak regulation constraint conditio, 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 the 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 issue the plan to each wind energy turbine set;

Step B, the existing commercial online software for calculation of use calculate the maximum permission of each period electrical network wind-powered electricity generation and exert oneself, and according to existing commercial calculated off-line software, calculate wind-powered electricity generation and send the section stability limitation;

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 to issue plan to each wind energy turbine set;

Transfinite if step G has, will exceed the limit part and again optimize distribution, until all wind energy turbine set, equipment and section do not transfinite, obtain last minute planning, and issue last minute planning to each wind energy turbine set,

H, next computing cycle, repeating step B～G.

2. the meritorious optimization method of the large-scale wind power under a kind of wind-powered electricity generation constrained state as claimed in claim 1, in the described steps A, the formula of certain wind energy turbine set in the zone-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_initPlan}Be A wind energy turbine set original plan value, P _{A_cur}Exert 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 ∑ _PwCurBe 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:

In the formula: P _{A_E}Be the electric motor power of A wind energy turbine set, P _{A_Jx}Be 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.

3. the meritorious optimization method of the large-scale wind power under a kind of wind-powered electricity generation constrained state as claimed in claim 1 or 2, 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, equal in the original plan without its desired plan value of wind energy turbine set of application;

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, get 10MW; When wind energy turbine set had application, this value got 0;

If d.3 | P _WPlanChange|＜P _Dz, then each wind energy turbine set does not need plan for adjustment, finishes;

If P d.4 _WPlanChange〉=P _Dz, except 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;

If P d.5 _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 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 the wind energy turbine set of subduing available free capacity, this is subdued Shi Buhan application and adds the wind energy turbine set of exerting oneself, according to the formula of idle capacity than the wind energy turbine set of subduing available free capacity:

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:

If P _KxSum＜| P _WPlanChange|, then the wind energy turbine set of available free capacity subdue the plan equal actual value, then subdue the wind energy turbine set plan of super equal score value, 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 _AveTried to achieve by following formula:

P _ave＝α*P _wPlanMax。

4. the meritorious optimization method of the large-scale wind power under a kind of wind-powered electricity generation constrained state as claimed in claim 3,

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 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 successively all super equal score value ratios 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 be down 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).

5. the meritorious optimization method of the large-scale wind power under a kind of wind-powered electricity generation constrained state as claimed in claim 4, among the described step G, the again sub-distribution of the volume that transfinites comprises following steps:

G.1 is there the wind energy turbine set plan to exceed working capacity? if nothing then enters step g .2; Give not super wind energy turbine set if having then will exceed part according to the working capacity score, again detect after divide, if having again superly, then again sub-distribution until do not surpass, then enters step g .2;

G.2 is there there equipment, the section volume that transfinites? if 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, until not super or relevant device, section all reach the full quota.

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