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

Abstract

A large cluster wind power active power intelligent control system, including: a control center station, a control master station, a control substation, and a wind farm control execution station; the control center station and the control master station are connected by a dedicated optical fiber channel, and the control master station The sub-stations are connected by a dedicated fiber channel, and the control master station and the wind farm control execution station are connected by a dedicated fiber channel. The central processor of the control center station is equipped with software to realize the large-scale wind power active power optimization method under the wind power limited state. This method calculates the next cycle every fixed cycle according to the current operating state of the power grid and considering constraints such as wind power transmission and peak regulation. The maximum allowable output of wind power, the active intelligent control system optimizes the plan of each wind farm according to the change of the maximum allowable output of wind power and the application for additional power put forward by each wind farm, so as to improve the utilization rate of wind energy. The method can improve the safety and stability of the grid operation, increase the power generation capacity of the wind farm, and make full use of wind energy resources.

Description

Large-scale wind power active power optimization method under wind power constraints

technical field

The invention belongs to the field of electric power system and its automation technology. More precisely, the invention relates to a large-scale cluster wind power active intelligent control system, and a large-scale wind power active power intelligent control system under the wind power limited state. Optimization.

Background technique

Regions rich in wind resources are generally far away from the load center, and the power grid structure is generally weak. In some operation modes and operation periods, the transmission of wind power is limited. my country's coal-based power supply structure determines that the peak-shaving capacity of the power system is insufficient. Due to the limitation of peak-shaving capacity, wind power output may be forced to be limited during low-load periods; in addition, due to the inherent randomness and intermittent nature of wind power output, large-scale wind power grid-connected will have many impacts on power grid dispatching operations, for example, it is easy to generate tie-line power flow Ultra-stable limit operation, etc., threaten the safe and stable operation of the power grid.

At present, the active power of wind power is still in the stage of manual control. In order to ensure the safety of the power grid, dispatchers distribute the conservative maximum allowable output of wind power to each wind farm according to the operating capacity ratio. The plans may not be sufficient, and the plans for wind farms with low wind speed may not be exhausted, making it difficult to make full use of wind energy.

Therefore, a large-scale cluster wind power active power intelligent control system is set up. When wind power is limited, it can automatically calculate the maximum allowable wind power output of the power grid in real time according to the constraints such as the power grid’s transmission capacity and peak shaving capacity. According to the operating capacity and wind conditions of each wind farm Optimizing wind power output can maximize the use of wind energy resources on the premise of ensuring grid security.

Contents of the invention

The technical problem to be solved by the present invention is to provide a large-scale cluster wind power active power intelligent control system, and realize the large-scale wind power active power optimization method under the condition of wind power limitation through the large-scale cluster wind power active power intelligent control system, so that under the premise of ensuring the safety of the power grid, Maximize the use of wind energy resources.

The technical scheme that the present invention solves the problems of the technologies described above is as follows:

A large cluster wind power active intelligent control system, the system includes:

1. A control center station. The central processor of the control center station is equipped with software to realize the large-scale wind power active power optimization method under the condition of wind power limitation. The control center station is used to realize real-time monitoring of the entire system and realize large-scale wind power clusters The main functions of the active intelligent control system are intelligent coordination control strategies, real-time calculation and issuance of planned values, automatic approval of wind farm application for additional output, switching of application algorithms and tracking algorithms, switching of operating modes and control modes; and through the control center The control terminal of the station monitors and calculates the planned value data of each wind farm in real time, the output of wind farm operation, the reserve capacity of the grid, the key sections of the grid channel, the wind power grid grid main transformer flow, margin and other data, as well as the operation status and control of each wind farm device. mode, action report, etc.;

2. More than one control master station is used to realize the information aggregation and exchange between the wind farm, the control sub-station and the control center station, the upload and release of device operation information, and the real-time release of the planned value calculated by the control center station wait;

3. More than two control sub-stations are used to monitor the power flow of each control section of the power grid in real time, and send the operation conditions, fault conditions, and overload conditions of the detection lines and key sections to the control master station and control center station of the system in real time. As an important source of information related to control strategies, the basis for calculation and coordination of control decisions, and important constraints;

4. Wind farm active power control execution stations set up in each wind farm,

The wind farm active power control execution station is used to monitor the output of each wind farm in real time, and according to the control center station, according to various operation modes, it is automatically assigned to each wind farm output plan to control the output of the wind farm, so as to realize the maximum, optimization, and cut off of the wind farm output. Minimize the control of wind turbines, make full use of wind energy resources as much as possible, and realize the functions of over-generation alarm and over-time over-power cut-off.

A dedicated fiber channel is used between the control center station and the control master station, a dedicated fiber channel is used between the control master station and the control sub-station, and a dedicated fiber channel is used between the control master station and the control execution station; in order to ensure reliability, the control center Between the control station and the control master station, between the control master station and each control sub-station, between the control master station and the control execution station, it is best to adopt dual fiber optic channels to ensure the reliability of information transmission.

A large-scale wind power active power optimization method under the limited wind power state provided by the present invention relies on the program instructions stored in the software installed in the central processor of the control center station to realize the large-scale wind power active power optimization method under the wind power limited state According to the current operating state of the power grid, this method considers constraints such as wind power transmission and peak regulation, and calculates the maximum allowable output of wind power in the next cycle every fixed period, such as 5 minutes, and the active intelligent control system is based on the change of the maximum allowable output of wind power And each wind farm's application for additional power, optimize the plan of each wind farm, so as to improve the utilization rate of wind energy; specifically include the following steps:

Step A. According to the actual operation of the power grid, calculate the initial plan of each wind farm in the area, and issue the plan to each wind farm;

Step B. Use the existing commercial online calculation software to calculate the maximum allowable wind power output of the power grid in each period, and calculate the stability limit of the wind power transmission section according to the existing commercial offline calculation software;

Step C, receiving the application for adding power from each wind farm;

Step D, optimize the active power plan of each wind farm according to the maximum allowable wind power output of the power grid in the next period, the current output of each wind farm, the current plan, and the application for additional output; obtain the new plan of each wind farm;

Step E, check whether there is any wind farm plan that exceeds the operating capacity of the wind farm, and check whether there are related equipment and sections that exceed the limit; if there is no limit, go to step F; if there is an limit, go to step G;

Step F, if there is no overrun, the new plan is the final plan, and the new plan is issued to each wind farm;

Step G. If there is an overrun, optimize the allocation of the overrun part again until all wind farms, equipment and sections do not exceed the limit, obtain the final plan, and issue the final plan to each wind farm.

H. For the next calculation cycle, repeat steps B to G.

Refer to Figure 2 for the flow of the above steps.

In the above step A, the calculation formula of a certain wind farm in the area, for example, the initial plan of wind farm A is:

P _{A_initPlan} = P _{A_cur} +α(P _wPlanMax -∑P _wCur ) (1)

In the formula: P _{A_initPlan} is the initial plan value of A wind farm, P _{A_cur} is the current output of A wind farm, P _wPlanMax is the current maximum allowable wind power output of the grid, ΣP _wCur is the sum of the current output of all wind farms in the area, and α is A wind farm The ratio of the operating capacity to the total operating capacity of the wind farm, α is obtained by the following formula:

$\mathrm{<span\; class="notranslate">\; \&alpha;</span>}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; A</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; E.</span>}}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; A</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; Jx</span>}}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; E.</span>}}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; Jx</span>}}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; )</span>$

In the formula: P _{A_E} is the installed capacity of wind farm A, P _{A_Jx} is the maintenance capacity of wind farm A, ΣP _E is the sum of installed capacity of all wind farms, and ΣP _Jx is the sum of maintenance capacity of all wind farms.

In the above step D, optimizing the active power plan of each wind farm includes the following steps, and the process is shown in Figure 3:

d.1 Calculate the total amount of wind power plan that needs to be adjusted, the calculation formula is:

P _wPlanChange = P _wPlanMax -∑P _wPlan (3)

In the formula: P _wPlanChange is the total amount of the plan that needs to be adjusted, P _wPlanMax is the current maximum allowable wind power output of the power grid, ∑P _wPlan is the expected plan sum of all current wind farms, and the expected plan value of the applied wind farm is equal to the original plan plus the application value, For wind farms without application, the expected plan value is equal to the original plan;

d.2 Set the allowable deviation value P _dz , and compare P _wPlanChange with P _dz ;

The purpose of setting P _dz is to adjust the plan infrequently when the maximum allowable wind power output of the power grid does not change much, and no wind farm applies for additional power. The deviation is set according to the safety margin of the power grid, and is generally taken as 10MW; When the wind farm has an application, because the plan needs to be recalculated, the value is set to 0;

d.3 If |P _wPlanChange |<P _dz , then each wind farm does not need to adjust the plan, end;

d.4 If P _wPlanChange ≥ P _dz , in addition to meeting the expected planned value of each wind farm, distribute P _wPlanChange to each wind farm according to the operating capacity ratio, and end;

d.5 If P _wPlanChange ≤(-P _dz ), then the |P _wPlanChange | plan must be reduced from all wind farms to meet the requirements. First, calculate the total idle capacity P _kxSum , where the idle capacity refers to the wind farm whose plan is greater than the actual output The difference between the planned and actual output, and the wind farms applying for additional output are not included in the calculation of idle capacity; compare P _wPlanChange with P _kxSum to determine whether P _kxSum ≥ |P _wPlanChange |? ,

If P _kxSum ≥|P _wPlanChange |, reduce the wind farms with idle capacity according to the ratio of idle capacity. The reduction does not include the wind farms that apply for additional output. The calculation formula for reducing the wind farms with idle capacity is according to the ratio of idle capacity:

P _ANewPlan ＝P _APlan -β | P _wPlanChange | (4)

In the formula, P _ANewPlan is the plan of wind farm A after reducing idleness, P _APlan is the original plan of wind farm A, β is the ratio of idle capacity of wind farm A to the total idle capacity, and β is obtained by the following formula:

$\mathrm{<span\; class="notranslate">\; \&beta;</span>}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; APlan</span>}}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; A</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; cur</span>}}}{{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; kxSum</span>}}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 5</span>}<span\; class="notranslate">\; )</span>$

If P _kxSum <|P _wPlanChange |, the wind farm reduction plan with free capacity is equal to the actual value, and then the wind farm plan that exceeds the average value is reduced. The average value _Pave here refers to the maximum allowable output of wind power according to the operating capacity ratio The value evenly distributed to each wind farm, P _ave is obtained by the following formula;

P _ave =α*P _wPlanMax

In step d.5, the steps of the wind farm plan for reducing the super-average value are as follows:

d.5.1 Calculate the total capacity P _overSum of all planned values of wind farms exceeding the average value P _ave , where the total capacity of the planned value exceeding the average value is equal to the planned value of all wind farms and the average value of the wind farm The sum of the differences of P _ave is used to calculate the total amount of active power P _j that needs to be reduced after reducing the idle capacity,

P _j ＝|P _wPlanChange |-P _kxSum (6)

And compare P _overSum with P _j , if P _j >P _overSum , the reduction plan of wind farms with super-average value is equal to the average value;

If P _j ≤ P _overSum , then:

式中，P_Midplan为某风电场经过空闲容量消减后的计划，P_ave为该风电场的均分值；d.5.2 Calculation of the proportion of wind farms that exceed the average score

In the formula, P _Midplan is the plan of a certain wind farm after the idle capacity is reduced, and P _ave is the average value of the wind farm;

d.5.3 Get the number n of wind farms with super-average value, and sort the k of each super-average wind farm from large to small, k ₁ >k ₂ >k ₃ >k ₄ ...>k _n ;

d.5.4 Calculate in turn all the wind farms whose super-average ratio is greater than _ki , the planned total amount P _{k_i} that can be reduced after the super-average ratio is _ki , i=2, 3...n;

d.5.5 Calculate the minimum value x of i when P _{k_i} > P _j is satisfied;

d.5.6 Reduce the plan of all wind farms whose super-average ratio is higher than k _x-1 to k _x-1 , and calculate the total amount of active power reduction to be P _x ;

d.5.7 The total amount of active power that needs to be reduced is (P _j -P _x ). From all wind farms whose super-average share value ratio is higher than k _x , the total reduction plan is (P _j -P _x ) according to the operating capacity ratio.

Refer to FIG. 4 for the flow chart of the above steps d.5.2 to d.5.7.

In the above step G, the redistribution of excess quota includes the following steps, and the process is shown in Figure 5:

g.1 Are any wind farms planned to exceed operating capacity? If there is no, go to step g.2; if there is, distribute the excess part to the wind farms that have not been exceeded according to the operating capacity ratio, and check again after the distribution is completed. Step g.2;

g.2 Is there any equipment and section exceeding the quota? If it exceeds, reduce the excess equipment and the wind farm plan included in the section, and reduce it according to the reduction method in step d. Check until there is no excess or the relevant equipment and sections reach the limit.

The beneficial effect that the present invention has:

First, the method of the present invention is applied in a wind power active intelligent control system, which can improve the safety and stability of the power grid operation, increase the power generation of wind farms, and make full use of wind energy resources;

Second, the method is simple and feasible.

Third, the large-scale cluster wind power active intelligent control system has been put into use in Gansu Hexi Power Grid for half a year, and it has been proved by practice to improve the comprehensive utilization efficiency of Hexi wind power.

Description of drawings

Figure 1 is a schematic diagram of the structure of a large cluster wind power intelligent control system.

Fig. 2 is a flow chart of a large-scale wind power active power optimization method in a wind power limited state.

Figure 3 is a flow chart of optimizing wind farm planning.

Figure 4 is a flowchart of the plan to reduce the super-average score.

Figure 5 is a safety check flow chart.

Figure 6 is a node system diagram.

In Fig. 6: G1, G2, G3 and G4-wind farm, 1-first wind power branch, 2-second wind power branch, 3-wind power main road, 4-wind power grid.

Specific implementation methods Embodiment of large-scale cluster wind power active power intelligent control system

As shown in Figure 1: a large-scale cluster wind power active intelligent control system provided by the present invention includes: a control center station, a control master station, two control sub-stations, four wind farm control execution stations, the control center station and The dedicated fiber channel connection is adopted between the control master stations, the dedicated fiber channel connection is adopted between the control master station and the control sub-stations, and the dedicated fiber channel connection is adopted between the control master station and the control execution station.

The central processor of the control center station is equipped with software to realize the large-scale wind power active power optimization method under the condition of wind power constraints.

In order to ensure reliability, dual optical fiber channels are adopted between the control center station and the control master station, between the control master station and each control sub-station, and between the control master station and the control execution station to ensure the reliability of information transmission.

The embodiment of the large-scale wind power active power optimization method under the condition of wind power constraints is illustrated by taking the node system shown in Figure 6 as an example. The operating capacities of wind farms G1, G2, G3, and G4 are all 100MW, and the The electric energy is merged into the first wind power branch 1, and the electric energy of the wind farms G3 and G4 is merged into the second wind power branch 2. Wind grid4.

According to the requirements of step B, the maximum allowable wind power output of the power grid in each period is calculated according to the existing commercial online calculation software, as shown in Table 1, and the stability limit of the wind power transmission section calculated according to the PSASP software is shown in Table 2; the optimized wind power plan is shown in Table 3, all units for MW.

Table 1: The maximum allowable wind power output of the grid

Table 2: Stability Limits for Wind Power Transmission Sections

Table 3: Optimized power generation plan

In this example, the allowable deviation value P _dz is taken as 10MW.

In Table 3, the planned value of a certain period is obtained based on the plan, output, application value of the previous period and the maximum allowable wind power output in this period, and it is equal to the initial plan during the initial operation.

For the initial operation of period 1, according to step A, the plan of each wind farm is equal to the initial plan, and the initial plan of each wind farm is calculated according to formula (1), such as the initial plan of G1:

P _{A_initPlan} =P _{A_cur} +α(P _wPlanMax -ΣP _wCur )=30+(280-30-30-50-50)×1/4=60, where

In period 2, the maximum allowable wind power output remains unchanged, and in period 1, no wind farm has applied for additional output, so the plan for period 2 does not need to be adjusted;

In period 3, the maximum allowable wind power output remains unchanged. In period 2, when the wind comes from wind farm G1, an application for additional output of 16MW is proposed. The expected planned value of wind farm G1 is 60+16=76MW. According to step D, according to formula (3) Calculate the total wind power plan that needs to be adjusted:

P _wPlanChange ＝P _wPlanMax -∑P _wPlan ＝280-(60+16)-60-80-80＝-16, since (-16)<0 satisfies P _wPlanChange ≤(-P _dz ), when the wind farm has an application , the value of P _dz is taken as 0, and step d.5 in step D is executed, and the wind farms applying for additional output are not included in the calculation of idle capacity, and the total idle capacity is calculated as:

P _kxSum = ( _{PG2_Plan -PG2_cur} )+( _{PG3_plan -PG3_cur} )+( _{PG4_plan -PG4_cur} )=(60-40)+(80-50)+(80-50)=80MW,

得出：According to formula (5), that is

inferred:

The proportions of idle capacity of wind farms G2, G3, and G4 are 20/80, 30/80, and 30/80, respectively;

According to formula (4), ie P _ANewPlan ＝P _APlan -β|P _wPlanChange |

The plan of the wind farm G2 = P _ANewPlan = P _APlan -β | P _wPlanChange | = 60-16*2/8 = 56MW,

Similarly, the plans of wind farms G3 and G4 are 74MW and 74MW respectively;

According to step E, pass the check, without exceeding the limit;

According to step F, issue the plan to each wind farm;

In time period 4, the maximum allowable wind power output remains unchanged. In time period 3, wind farms G1 and G2 respectively apply for an additional output of 20MW,

According to step D, after adding 20MW to the plans of wind farms G1 and G2 respectively, the expected planned values of wind farms G1 and G2 are 96MW and 76MW respectively, and the total plan becomes 320MW, allowing a total output of 280MW;

According to the formula (3), that is, P _wPlanChange = P _wPlanMax -∑P _wPlan , it is obtained that the total amount of the plan needs to be adjusted from the four wind farms G3, G4, G3 and G4:

P _wPlanChange ＝P _wPlanMax -∑P _wPlan ＝(280-320)＝-40MW, since (-40)<0 satisfies P _wPlanChange ≤(-P _dz ), when the wind farm has an application, the value of P _dz is taken as 0, Execute step d.5 in step D, the wind farms G3 and G4 have free capacity, and the total free capacity is calculated as

P _kxSum = (P _{G3_plan} -P _{G3_cur} )+(P _{G4_plan} -P _{G4_cur} )=(74-60)+(74-60)=28MW,

Since 28<40, the plans of wind farms G 3 and G4 after the reduction are equal to the actual output of 60MW. According to formula (6), the amount of reduction to be reduced after the reduction is calculated P _j =|P _wPlanChange |-P _kxSum =40-28=12MW, Then according to the reduction plan of the ratio of super-average value, the average value of wind farms G1, G2, G3 and G4 are the same 280/4=70, and the proportions of wind farms G1 and G2 are respectively 96/70, 76/70, The total capacity P _overSum of wind farms G1 and G2 whose plan values exceed the average value is equal to 32MW, satisfying P _j < P _overSum , and when the proportion of wind farm G1 to reduce the over-average value is the same as that of wind farm G2, the amount that can be reduced is 20MW, so only The wind farm G1 is reduced, and the wind farm G1 is planned to be 84MW, and the wind farm G2 is planned to be 76MW;

According to step E, after checking, it is found that the first wind power branch 1 exceeds the limit. Therefore, according to step G, the plan is again reduced according to the proportion of the super-average score, and finally the wind farm G1 plan is 75MW, and the wind farm G2 plan is 75MW. 10MW of the overrun portion of wind power branch 1 is allocated to wind farm G3 and wind farm G4 that have nothing to do with the overrun equipment, and the plans for both wind farm G3 and wind farm G4 are changed to 65MW, forming the final plan and sending it to the wind farm;

During period 5, the maximum allowable wind power output of the grid decreases;

During period 4, there is no application for additional output from the wind farm;

According to step D, according to formula (3), calculate the total amount of wind power plan that needs to be adjusted:

P _wPlanChange = P _wPlanMax -∑P _wPlan = 200-280 = -80, since (-80) < (-10), when there is no application for the wind farm, the value of P _dz is taken as 10, satisfying P _wPlanChange ≤ (-P _dz ), execute step d.5 in step D, eliminate idleness first, and then reduce according to the ratio of super-average scores to form the final plan;

According to step E, pass the check, without exceeding the limit;

According to step F, issue the plan to each wind farm;

In period 6, the maximum allowable wind power output of the grid increases, and in period 5 there is no wind farm application for additional output. According to step D, according to formula (3), the total amount of wind power plan needs to be adjusted:

P _wPlanChange ＝P _wPlanMax -∑P _wPlan ＝220-200＝20, since 20>10, satisfy P _wPlanChange ≥ P _dz , when there is no application for the wind farm, the value of P _dz is set to 10, and the d in step D is executed .4 step, in addition to satisfying the expected plan value of each wind farm, then distribute P _wPlanChange to each wind farm according to the operating capacity ratio to form the final plan;

According to step E, pass the check, without exceeding the limit;

According to step F, issue the plan to each wind farm;

During period 7, the maximum allowable wind power output of the grid decreases;

In time period 6, when the wind comes from wind farms G3 and G4, an application for additional power is submitted, both of which are 20MW, and the expected planned value of wind farms G3 and G4 is both 75MW;

According to step D, according to formula (3), calculate the total amount of wind power plan that needs to be adjusted:

P _wPlanChange ＝P _wPlanMax -∑P _wPlan ＝210-(220+40)＝-50, since (-50)＜0, satisfy P _wPlanChange ≤(-P _dz ), when the wind farm has an application, the value of P _dz is is 0, execute step d.5 in step D. At this time, there is no wind in wind farms G1 and G2, and the total idle capacity is:

P _kxSum = (P _{G1_plan} -P _{G1_cur} ) + (P _{G2_plan} -P _{G2_cur} ) = (55-35) + (55-25) = 50MW, only reduce the idle capacity to meet the reduction requirements, forming the final plan;

According to step E, pass the check, without exceeding the limit;

According to step F, issue the plan to each wind farm;

Period 8, the maximum allowable wind power output of the grid increases;

In time period 7, when the wind comes from wind farms G3 and G4, an application for additional power is submitted, both of which are 20MW, and the expected planned value of wind farms G3 and G4 is both 95MW;

According to step D, according to formula (3), calculate the total amount of wind power plan that needs to be adjusted:

P _wPlanChange ＝P _wPlanMax -∑P _wPlan ＝240-(210+40)＝-10, according to step (2) of step D, when a wind farm puts forward an application for additional power, P _dz takes 0, (-10 ) < 0, satisfy P _wPlanChange ≤ (-P _dz ), and execute step d.5 in step D. At this time, there is no wind in wind farms G1 and G2, and the total idle capacity is (35-30)+(25-20) = 10MW, the reduction requirement can be met only by reducing the idle capacity, forming the final plan;

According to step E, pass the check, without exceeding the limit;

According to step F, issue the plan to each wind farm;

Period 9, the maximum allowable wind power output increases;

In time period 8, when there is no application for additional output from the wind farm, follow step D and formula (3) to calculate the total amount of wind power plan that needs to be adjusted:

P _wPlanChange = P _wPlanMax -∑P _wPlan = 280-240 = 40, since 40>10, satisfy P _wPlanChange ≥ P _dz , when there is no application for the wind farm, the value of P _dz is set to 10, and d.4 in step D is executed In the first step, in addition to meeting the expected plan value of each wind farm, P _wPlanChange is allocated to each wind farm according to the operating capacity ratio. The plans of wind farms G1, G2, G3 and G4 are 40MW, 30MW, 105MW and 105MW respectively;

Check according to step E, wind farms G3 and G4 both exceed the operating capacity by 5MW;

According to step G, this amount is distributed to wind farms G1 and G2, and the plans of wind farms G1 and G2 are obtained to be 45MW and 35MW respectively, and the final plan is formed and sent to the wind farms;

During period 10, the maximum allowable wind power output remains unchanged;

Wind farms G3 and G4 in time period 9, apply for additional power, respectively 20MW and 30MW, and the expected planned values of wind farms G3 and G4 are both 65MW;

According to step D, according to formula (3), calculate the total amount of wind power plan that needs to be adjusted;

P _wPlanChange ＝P _wPlanMax -∑P _wPlan ＝280-(280+50)＝-50, since (-50)<0, satisfying P _wPlanChange ≤(-P _dz ), when the wind farm has an application, the value of P _dz is is 0, execute step d.5 in step D, eliminate idleness first, and then reduce according to the ratio of super-average score to form the final plan;

According to step E, pass the check, without exceeding the limit;

According to step F, issue the plan to each wind farm;

During period 11, the maximum allowable wind power output remains unchanged;

In time period 10, when all winds come in, wind farms G1, G2, G3 and G4 all apply for additional power, the application volumes are 15MW, 15MW, 20MW and 20MW respectively, and the expected planned values are 80MW, 80MW, 95MW and 95MW respectively;

According to step D, according to formula (3), calculate the total amount of wind power plan that needs to be adjusted:

P _wPlanChange ＝P _wPlanMax -∑P _wPlan ＝280-(80+80+95+95)＝-70, since (-70)＜0, satisfy P _wPlanChange ≤(-P _dz ), when the wind farm has an application, The value of P _dz is set to 0; step d.5 in step D is executed, there is no free capacity, and the final plan is formed according to the ratio of the super-average score. It can be seen that this final plan is fair to all wind farms;

According to step E, pass the check, without exceeding the limit;

According to step F, distribute the plan to each wind farm.

Examples show that this method can be used to optimize the distribution of wind power output and ensure the maximum wind power output on the premise of satisfying the security of the power grid, combining the randomness and intermittent characteristics of wind power output, according to the complementarity between wind power and considering fairness.

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_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:

$\mathrm{\&alpha;}=\frac{P_{A\_E}-P_{A\_\mathrm{Jx}}}{\mathrm{\&Sigma;}{P}_E-\mathrm{\&Sigma;}{P}_{\mathrm{Jx}}}---\left(2\right)$

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.

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:

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

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

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.

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