Wind turbine active power optimization distribution method, system, device and storage medium

Abstract

The application discloses a kind of wind turbine active power optimization distribution method, system, device and storage medium, the wind turbine in the wind farm of the present application method is classified twice, and priority regulating unit group and standby regulating unit group are screened out, according to the change of grid frequency, in combination with the available regulating margin of priority regulating unit group and standby regulating unit group, select wind turbine to carry out wind farm power regulating amount distribution. According to the change trend of the active power output of wind turbine in future multiple time periods, wind turbine group can be reasonably divided, the adjusting frequency of wind turbine is reduced, and the influence of frequent adjustment on the service life of wind turbine is reduced. Meanwhile, the active power output distribution of each wind turbine in the wind farm is optimized, the active power loss of the wind farm is reduced, the operation and management level of the wind farm is improved, and the economic benefit of the wind farm is greatly improved.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of active power control technology in wind farm of new energy power generation technology, and particularly relates to a wind turbine active power optimization distribution method, system, device and storage medium. BACKGROUND

[0002] With the increasing proportion of wind turbine installed capacity in total installed capacity, the large fluctuation of power sent to the power grid by the wind power plant will bring more and more hidden troubles to the stable operation of the power grid. Therefore, it is an urgent problem to be solved to realize the controllability of the wind farm power.

[0003] The active power control requirements of the wind farm are specified in detail in the standard of "Technical Regulation for Wind Farm Integration into Power System Part 1: Onshore Wind Power" (GB / T 19963.1-2021). The above standard provides that "the wind farm should be equipped with an active power control system with active power regulation capability", "when the active power of the wind farm is more than 20% of the total rated power, the wind farm should be able to realize continuous smooth adjustment of the active power and participate in the active power control of the power system", "the wind farm should be able to automatically calculate the theoretical available power and standby capacity of the wind farm, and have the functions of reducing the total active power, increasing the total active power, and changing the active power change rate and other automatic generation control functions". It can be seen that the active power control technology of the wind farm plays a crucial role in the grid connection of the wind farm.

[0004] The active power distribution scheme currently used in the wind farm is relatively simple, and the direct start-stop machine or average distribution method is mostly used to adjust the power.

[0005] The direct start-stop machine adjustment method has the following defects: 1) frequent start-stop of the wind turbine will affect the service life of the wind turbine, and the wind turbine needs a certain time to start and stop, resulting in slow adjustment speed; 2) the adjustment force is large, and accurate adjustment cannot be achieved. In order not to exceed the limit of adjustment, a certain margin must be left, so that the active power of the wind farm on the grid can only be maintained at a relatively low value, which damages the economic benefit of the wind farm; 3) the life balance of the wind turbines in the whole field is not considered. When the power is continuously increased and decreased, some wind turbines may be frequently started and stopped, while other wind turbines do not participate in the adjustment, which eventually leads to the imbalance of the service life of the wind turbines in the whole wind farm and increases the maintenance difficulty. SUMMARY

[0006] The purpose of the present application is to provide a wind turbine active power optimization distribution method, system, device and storage medium to solve the technical problems caused by the direct start-stop machine adjustment method in the prior art.

[0007] In order to achieve the above purpose, the present application adopts the following technical scheme:

[0008] In a first aspect, the present invention provides a method for optimizing the allocation of active power in a wind turbine generator set, comprising the following steps:

[0009] The wind turbines in the wind farm are divided into groups of wind turbines that cannot be regulated and several groups of wind turbines that can be regulated.

[0010] Based on the ultra-short-term power prediction change value of the wind turbines in the wind turbine group that can participate in regulation, the wind turbines in the wind turbine group that can participate in regulation are classified into the priority regulation group or the standby regulation group.

[0011] Based on the current frequency change of the power grid, calculate the total change in active power that the wind farm should adjust.

[0012] The maximum theoretical active power of the wind farm is calculated based on short-term wind power forecast data. Based on the ratio between the maximum theoretical active power of the wind farm and the rated power of the wind farm, the adjustable active power margin of each priority regulating unit group and the standby regulating unit group is calculated.

[0013] Based on the adjustable active power margin, wind turbine units are selected from the priority regulating unit group and the standby regulating unit group to allocate the power regulation amount of the wind farm.

[0014] As an optional embodiment of the present invention, the wind turbines in the wind farm are divided into a group of wind turbines that cannot participate in regulation and a group of wind turbines that can participate in regulation. The specific method is as follows:

[0015] Wind turbines that are out of service or under maintenance are classified into groups of wind turbines that cannot be regulated; wind turbines of the same manufacturer and model that are in normal operation are classified into groups of wind turbines that can be regulated, and these groups of wind turbines that can be regulated are numbered.

[0016] As an optional embodiment of the present invention, the wind turbines in the wind turbine group that can participate in regulation are divided into a priority regulation turbine group or a standby regulation turbine group, and the specific method is as follows:

[0017] Based on real-time wind speed data and ultra-short-term wind power forecast data, the ultra-short-term power forecast change ΔP of the wind turbines in the wind turbine group that can participate in regulation at time T2 relative to time T1 is calculated. r If ΔP r If ΔP > 0, then the current wind turbine will be assigned to the priority regulating unit group. r If the value is less than 0, the current wind turbine will be classified as a standby regulating unit group.

[0018] As an optional embodiment of the present invention, the ultra-short-term power prediction change value ΔP r The calculation method is as follows:

[0019] ΔP r = P r,2 - P r,1 (1)

[0020] wherein P r,1 is the first moment power value, P r,2 is the predicted second moment power value.

[0021] As an optional solution of the present application, the calculation method of the total active power adjustment amount ΔP of the wind farm is as follows

[0022]

[0023] wherein Kf is the active frequency modulation coefficient; P N is the rated power of the wind farm, in units of megawatts (MW); f N is the rated frequency of the power system, in units of hertz (Hz); and Δf is the frequency deviation of the power system, in units of hertz (Hz).

[0024] As an optional solution of the present application, based on the proportional relationship between the maximum theoretical active power of the wind farm and the rated power of the wind farm, the adjustable active power margin of each priority regulation unit group and standby regulation unit group is calculated, in the specific manner as follows:

[0025] (1) When the maximum theoretical active power P is in the range of 60%P N ~ 90%P N , the following is performed:

[0026] The adjustable active power margin ΔP yx of the priority regulation unit group Ω yx is calculated.

[0027]

[0028] 45%P≤P yx ≤95%P (4)

[0029] ΔP yx = P yx，r，2 - P yx，r，1 (5)

[0030] wherein M indicates the number of priority regulation unit groups, M≥1, and 1≤i≤M; P yx indicates the total adjustable active power of the priority regulation unit groups; indicates the adjustable active power of the Mth priority regulation unit group; P yx，r，1 indicates the first moment total adjustable active power of the priority regulation unit groups, P yx，r，2 indicates the second moment total adjustable active power of the priority regulation unit groups.

[0031] When ΔP yx ≥ ΔP, the adjustable active power margin ΔP yx of the priority regulating unit group Ω yx can meet the total active power change ΔP;

[0032] When ΔP yx < ΔP, the adjustable active power margin ΔP yx of the priority regulating unit group Ω yx cannot meet the total active power change ΔP, and the regulating power shortage ΔP yx of the priority regulating unit group Ω yx，q is calculated:

[0033] ΔP yx，q = ΔP - ΔP yx (6)

[0034] The adjustable active power margin ΔP by of the standby regulating unit group Ω by is calculated:

[0035]

[0036] ΔP by = P by，r，2 - P by，r，1 (8)

[0037] wherein m represents the number of standby regulating unit groups, m≥1, and 1≤j≤m; P by represents the total adjustable active power of the standby regulating unit groups; represents the adjustable active power of the mth standby regulating unit group; P by，r，1 represents the total adjustable active power of the standby regulating unit groups at the first time, P by，r，2 represents the total adjustable active power of the standby regulating unit groups at the second time;

[0038] (2) If the active power P at this time is within the range of 30%P N ~ 40%P N :

[0039] The adjustable active power margin ΔP yx of the priority regulating unit group Ω yx is calculated:

[0040]

[0041] 50%P≤P yx ≤90%P (10)

[0042] ΔP yx = P yx，r，2 - Pyx，r，1 (11)

[0043] wherein, M refers to the number of priority regulating unit groups, M≥1, and 1≤i≤M; P yx refers to the total adjustable active power of the priority regulating unit groups; refers to the adjustable active power of the Mth priority regulating unit group; P yx，r,1 refers to the total adjustable active power of the priority regulating unit groups at the first time, P yx，r,2 refers to the total adjustable active power of the priority regulating unit groups at the second time.

[0044] When ΔP yx ≥ΔP, the adjustable active power margin ΔP yx of the priority regulating unit group Ω yx can meet the total active power change amount ΔP;

[0045] When ΔP yx <ΔP, the adjustable active power margin ΔP yx of the priority regulating unit group Ω yx cannot meet the total active power change amount ΔP, at this time, the regulating power shortage ΔP yx of the priority regulating unit group Ω yx，q is calculated:

[0046] ΔP yx，q =ΔP-AP yx (12)

[0047] The adjustable active power margin ΔP by of the standby regulating unit group Ω by is calculated:

[0048]

[0049] ΔP by =P by，r，2 -P by，r，1 (14)

[0050] wherein, m refers to the number of standby regulating unit groups, m≥1, and 1≤j≤m; P by refers to the total adjustable active power of the standby regulating unit groups; refers to the adjustable active power of the mth standby regulating unit group; P by，r,1 refers to the total adjustable active power of the standby regulating unit groups at the first time, P by，r,2 refers to the total adjustable active power of the standby regulating unit groups at the second time.

[0051] As an optional solution of the present application, the wind power adjustment amount distribution is allocated to the wind power units selected from the priority adjustment unit group and the standby adjustment unit group based on the adjustable active power margin, and the specific mode is as follows:

[0052] (1) When the adjustment power shortage ΔP yx of the priority adjustment unit group Ω yx，q ≤ 0, only the priority adjustment unit group participates in the adjustment;

[0053] The active power adjustment proportion K M of each priority adjustment unit group and the active power adjustment proportion μ yx of each priority adjustment unit in the priority adjustment unit group are calculated:

[0054]

[0055]

[0056] Wherein, M indicates the number of priority adjustment unit groups, x indicates the number of priority adjustment units, and x≥1;

[0057] The active power adjustment amount ΔP x，M of each priority adjustment unit in each priority adjustment unit group is calculated:

[0058] ΔP x，M = K M × μ yx × ΔP (17)

[0059] The active power adjustment amount adjustment instruction is issued to each wind power unit;

[0060] (2) When the adjustment power shortage ΔP yx of the priority adjustment unit group Ω yx，q > 0, the adjustable active power margin ΔP yx of the priority adjustment unit group is used up, and at this time, the standby adjustment unit group also participates in the adjustment;

[0061] The active power adjustment amount of the standby adjustment unit group is calculated:

[0062] ΔP by = ΔP-ΔP yx (18)

[0063] The active power adjustment proportion K m of each standby adjustment unit group and the active power adjustment proportion μ by of each standby adjustment unit in the standby adjustment unit group are calculated:

[0064]

[0065]

[0066] Wherein, m refers to the number of standby regulating unit groups, y refers to the number of standby regulating units, y≥1;

[0067] Calculate the active power regulation amount ΔP of each standby regulating unit in each standby regulating unit group y，m

[0068] ΔP y，m =K m ×μ by ×ΔP (21)

[0069] The active power regulation amount is sent to each wind turbine generator as a regulation instruction.

[0070] In the second aspect of the present application, a system for implementing the wind turbine active power optimization distribution method is provided, comprising:

[0071] A first classification module is configured to divide the wind turbine generators in the wind farm into a non-participating regulating wind turbine generator group and N participating regulating wind turbine generator groups.

[0072] A second classification module is configured to divide the wind turbine generators in the Mth participating regulating wind turbine generator group into the Mth priority regulating wind turbine generator group or the Mth standby regulating wind turbine generator group according to the ultra-short-term power prediction change value of the wind turbine generators in the Mth participating regulating wind turbine generator group.

[0073] A first calculation module is configured to calculate the total active power change amount that the wind farm should adjust according to the current frequency change amount of the power grid.

[0074] A second calculation module is configured to calculate the maximum theoretical active power of the wind farm according to the short-term wind power prediction data, and calculate the adjustable active power margin of each priority regulating wind turbine generator group and standby regulating wind turbine generator group based on the proportional relationship between the maximum theoretical active power of the wind farm and the rated power of the wind farm.

[0075] A third calculation module is configured to select wind turbine generators from the priority regulating wind turbine generator group and standby regulating wind turbine generator group for wind farm power regulation amount distribution based on the adjustable active power margin.

[0076] In the third aspect of the present application, a computer device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the wind turbine active power optimization distribution method described above when executing the computer program.

[0077] In a fourth aspect, the present application provides a computer readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the wind turbine active power optimization distribution method.

[0078] The present application has the following advantages:

[0079] The wind turbine active power optimization distribution method provided by the embodiments of the present application is suitable for a new energy station with wind turbines of two or more types or from two or more manufacturers. The method classifies the wind turbines in the wind farm twice, screens out a priority regulation unit group and a standby regulation unit group, selects wind turbines for wind farm power regulation according to the change of the grid frequency and the available regulation margin of the priority regulation unit group and the standby regulation unit group. The method can reasonably divide the wind turbine groups according to the change trend of the active power output of the wind turbines in multiple time periods, reduce the regulation frequency of the wind turbines, and reduce the impact of frequent regulation on the service life of the wind turbines. Meanwhile, the method optimizes the active power output distribution of the wind turbines in the wind farm, reduces the active power output loss of the wind farm, improves the operation and management level of the wind farm, and greatly improves the economic benefit of the wind farm. BRIEF DESCRIPTION OF DRAWINGS

[0080] The accompanying drawings, which form a part of this application, are included to provide a further understanding of the application, and are incorporated in and constitute a part of this application. The embodiments of the application illustrated in the drawings, and their description thereto, are presented and described exclusively by way of explanation of the application, and are not intended to limit the application unduly.

[0081] Figure 1 is a flow chart of the wind turbine active power optimization distribution method of the wind farm according to an embodiment of the present application.

[0082] Figure 2 is a logic diagram of the wind turbine active power optimization distribution method of the wind farm according to an embodiment of the present application.

[0083] Figure 3 is a power prediction diagram according to an embodiment of the present application. DETAILED DESCRIPTION

[0084] The present application will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments. It should be noted that the embodiments and features in the embodiments in the present application can be combined with each other without conflict.

[0085] The following detailed description is exemplary and is intended to provide further explanation of the present application. Unless otherwise specified, all technical terms used in the present application have the same meanings as understood by those skilled in the art. The terms used in the present application are only used to describe the specific embodiments and are not intended to limit the exemplary embodiments according to the present application.

[0086] The embodiment of the application provides a wind turbine active power optimization distribution method, system, device and storage medium, which is suitable for a new energy station of wind turbines equipped with two or more wind turbine models or wind turbine manufacturers. The operation constraint conditions of the wind turbine are fully considered, as many wind turbines as possible are allowed to participate in power regulation, and the wind turbine can quickly respond to frequency modulation instructions. Meanwhile, the number of wind turbine regulation is reduced, the influence of frequent regulation on the service life of the wind turbine is reduced, and the long-term stable operation of the wind turbine is beneficial. The characteristics of different types of wind turbines are parameterized, and the wind turbines of various types can be adapted.

[0087] As shown in Figure 1 A wind turbine active power optimization distribution method comprises the following steps:

[0088] S1, the wind turbines in the wind farm are divided into a non-participating regulation wind turbine group and N participating regulation wind turbine groups.

[0089] Specifically, in the embodiment, the wind turbines in the whole field are preliminarily distributed according to the wind turbine state, the wind turbine manufacturer and the wind turbine model, and are divided into a non-participating regulation wind turbine group, a first participating regulation wind turbine group, a second participating regulation wind turbine group and the like. For example, first, the wind turbine state is judged, if the wind turbine is in a shutdown state or a maintenance state, the wind turbine is divided into a non-participating regulation wind turbine group; among the wind turbines in normal operation, wind turbines of the same manufacturer and the same model are divided into a participating regulation wind turbine group according to the wind turbine manufacturer and the wind turbine model, and the several participating regulation wind turbine groups divided are numbered, such as a first participating regulation wind turbine group, a second participating regulation wind turbine group, and the like, until all the wind turbines are divided.

[0090] S2, according to the ultra-short-term power prediction change value of the wind turbine in the Mth participating regulation wind turbine group, the wind turbine in the Mth participating regulation wind turbine group is divided into the Mth priority regulation unit group or the Mth standby regulation unit group.

[0091] Specifically, in the embodiment, according to the real-time wind speed data and the ultra-short-term wind power prediction data, the ultra-short-term power prediction change value ΔP of the wind turbine in the Mth participating regulation wind turbine group at T2 relative to T1 is calculated. r If ΔP r > 0, the current wind turbine is divided into the Mth priority regulation unit group, if ΔP r < 0, the current wind turbine is divided into the Mth standby regulation unit group, such as a first priority regulation wind turbine group, a second priority regulation wind turbine group and the like, a first standby regulation wind turbine group, a second standby regulation wind turbine group and the like.

[0092] Specifically, the calculation method of the first group of wind turbine generators participating in the adjustment of the ultra-short-term power prediction change value ΔP of the wind turbine generator group at T2 relative to T1 is as follows: r

[0093] ΔP r = P r，2 -P r，1 (1)

[0094] In the formula, P r,1 is the ultra-short-term power prediction value at T1, and P r,2 is the ultra-short-term power prediction value at T2.

[0095] If ΔP r > 0, the wind turbine generator is divided into a priority adjustment group Ω yx，1 , and if ΔP r < 0, the wind turbine generator is divided into a standby adjustment group Ω by，1 ; until all wind turbine generators in the first group of wind turbine generators participating in the adjustment of the ultra-short-term power prediction change value ΔP of the wind turbine generator group are divided. The wind turbine generators in the second group of wind turbine generators participating in the adjustment are divided into a priority adjustment group Ω yx，2 and a standby adjustment group Ω by，2 in the same way. The same method is used.

[0096] S3, according to the current frequency change of the power grid, the total active power change value that the wind farm should adjust is calculated.

[0097] The calculation method of the total active power change value ΔP that the wind farm should adjust is as follows

[0098]

[0099] In the formula, Kf is the active frequency regulation coefficient; P N is the rated power of the wind farm, in megawatts (MW); f N is the rated frequency of the power system, in hertz (Hz); and △f is the frequency deviation of the power system, in hertz (Hz).

[0100] S4, the maximum theoretical active power of the wind farm is calculated according to the short-term wind power prediction data, and the adjustable active power margin of each priority adjustment group and standby adjustment group is calculated based on the proportional relationship between the maximum theoretical active power of the wind farm and the rated power of the wind farm.

[0101] First, the maximum theoretical active power P of the whole field is calculated according to the short-term wind power prediction data;

[0102] (1) When the maximum theoretical active power P is in the range of 60% P N ~ 90% P N : ​

[0103] Calculate the priority control unit group Ω yx Adjustable active power margin ΔP yx ;

[0104]

[0105] 45% P≤P yx ≤95%P (4)

[0106] ΔP yx =P yx，r，2 -P yx，r，1 (5)

[0107] Where M refers to the number of priority control units, M≥1, and 1≤i≤M; P yx This refers to prioritizing the adjustment of the total adjustable active power of the generator group; P refers to the adjustable active power of the Mth priority regulating unit group; yx，r,1 This refers to prioritizing the adjustment of the total adjustable active power of the generating unit group at the first moment, P. yx，r,2 This refers to prioritizing the adjustment of the total adjustable active power of the generating unit group in the second time step;

[0108] When ΔP yx When ≥ΔP, prioritize adjusting the unit group Ω. yx Adjustable active power margin ΔP yx It can satisfy the total change in active power ΔP;

[0109] When ΔP yx When <ΔP, prioritize adjusting the unit group Ω. yx Adjustable active power margin ΔP yx If the total change in active power ΔP cannot be satisfied, then the priority regulation unit group Ω should be calculated. yx Regulated power deficit ΔP yx，q :

[0110] ΔP yx，q =ΔP - ΔP yx (6)

[0111] Calculate the standby regulating unit group Ω by Adjustable active power margin ΔP by :

[0112]

[0113] ΔP by =P by，r，2 -P by，r，1 (8)

[0114] Where m refers to the number of standby regulating units, m≥1, and 1≤j≤m; P byPtotal refers to the total adjustable active power of the standby regulating unit group; Pm refers to the adjustable active power of the mth standby regulating unit group; by，r,1 Ptotal1 refers to the total adjustable active power of the standby regulating unit group at the first time; by，r,2 Ptotal2 refers to the total adjustable active power of the standby regulating unit group at the second time.

[0115] (2) If the active power P at this time is in the range of 30%P N ~ 40%P N :

[0116] The adjustable active power margin ΔP yx of the priority regulating unit group Ω yx is calculated as follows:

[0117]

[0118] 50%P≤P yx ≤90%P (10)

[0119] ΔP yx = P yx，r，2 - P yx，r，1 (11)

[0120] Wherein, M refers to the number of priority regulating unit groups, M≥1, and 1≤i≤M; P yx Ptotal refers to the total adjustable active power of the priority regulating unit group; Pm refers to the adjustable active power of the Mth priority regulating unit; yx，r，1 Ptotal1 refers to the total adjustable active power of the priority regulating unit group at the first time; yx，r，2 Ptotal2 refers to the total adjustable active power of the priority regulating unit group at the second time.

[0121] When ΔP yx ≥ ΔP, the adjustable active power margin ΔP yx of the priority regulating unit group Ω yx can meet the total active power change ΔP;

[0122] When ΔP yx < ΔP, the adjustable active power margin ΔP yx of the priority regulating unit group Ω yx cannot meet the total active power change ΔP, and the regulating power shortage ΔP yx of the priority regulating unit group Ω yx，q is calculated as follows:

[0123] ΔP yx，q = ΔP- ΔP yx (12)

[0124] The standby regulating unit group Ωby Adjustable active power margin ΔP by :

[0125]

[0126] ΔP by =P by，r，2 -P by，r，1 (14)

[0127] Where m refers to the number of standby regulating units, m≥1, and 1≤j≤m; P by The total adjustable active power of the standby regulating unit group; P refers to the adjustable active power of the m-th standby regulating unit group; by，r，1 P refers to the total adjustable active power of the standby regulating unit group at the first moment. by，r，2 The second moment refers to the total adjustable active power of the standby regulating unit group.

[0128] S5. Based on the adjustable active power margin, wind turbine units are selected from the priority regulating unit group and the standby regulating unit group to allocate the power regulation amount of the wind farm.

[0129] (1) When the priority adjustment unit group Ω yx Regulated power deficit ΔP yx，q When the value is ≤0, only the priority regulating unit group participates in regulation;

[0130] Calculate the active power regulation ratio K for each priority regulation unit group. M and the active power regulation ratio μ of each priority regulating unit in the priority regulating unit group. yx :

[0131]

[0132]

[0133] Where n refers to the number of priority regulating units, x refers to the number of priority regulating units, and x≥1;

[0134] Calculate the active power regulation ΔP for each priority regulating unit in each priority regulating unit group. x，M

[0135] ΔP x，M =K M ×μ yx ×ΔP (17)

[0136] The active power adjustment command is sent to each wind turbine unit.

[0137] (2) When prioritizing the adjustment of unit group Ω yx Regulated power deficit ΔPyx，q When t = 0, the adjustable active power margin ΔP of the priority regulating unit group is adjusted first yx When all the adjustable active power margins of the priority regulating unit group are exhausted, the standby regulating unit group also participates in the regulation;

[0138] The active power regulation amount of the standby regulating unit group is calculated as follows:

[0139] ΔP by = ΔP - ΔP yx (18)

[0140] The active power regulation proportion K of each standby regulating unit group is calculated as follows: m and the active power regulation proportion μ of each standby regulating unit in the standby regulating unit group is calculated as follows: by :

[0141]

[0142]

[0143] wherein m represents the number of standby regulating unit groups, y represents the number of standby regulating units, and y ≥ 1;

[0144] The active power regulation amount ΔP of each standby regulating unit in each standby regulating unit group is calculated as follows: y，m

[0145] ΔP y，m = K m × μ by × ΔP (21)

[0146] The active power regulation amount is sent to each wind turbine as a regulation instruction.

[0147] S6, set a control period, and return to step S1 to perform the next control period when the control period meets the condition.

[0148] Example verification

[0149] Suppose that the installed capacity of a grid-connected wind farm is 30 MW, which includes 6 A2000 wind turbines of 2 MW from A manufacturer, 6 A1500 wind turbines of 1.5 MW from A manufacturer, and 5 B1800 wind turbines of 1.8 MW from B manufacturer, which are numbered as 1# machine, 2# machine, …, 16# machine, and 17# machine, respectively.

[0150] Among them, 6# machine and 17# machine are in a maintenance shutdown state, and the remaining 15 machines have the power prediction values in the next 1 hour as shown in Table 1. Figure 3 and Table 1.

[0151] Table 1: Status table of wind turbines in a grid-connected wind farm

[0152]

[0153] First, based on step 1), the units are initially allocated: Units 6 and 17 are divided into wind turbine groups that cannot participate in regulation, units 1 to 5 are divided into wind turbine groups that can participate in regulation (Group 1), units 7 to 12 are divided into wind turbine groups that can participate in regulation (Group 2), and units 13 to 16 are divided into wind turbine groups that can participate in regulation (Group 3).

[0154] 2. Based on step 2), optimize the allocation of each group of wind turbine units that can participate in regulation.

[0155] according to Figure 3 As shown in the power prediction diagram, among the No. 1 adjustable wind turbine group, the ultra-short-term power prediction change ΔP of units 1, 2, 4, and 5 at time T3 relative to time T2 is... r >0, therefore it is classified as a priority regulating unit group Ω yx，1 The ultra-short-term power prediction change value ΔP of Unit 3 at time T3 relative to time T2 r <0, therefore it is classified as a standby regulating unit group Ω by，1 .

[0156] Similarly, in the group of wind turbine units that can participate in regulation, the ultra-short-term power prediction change value ΔP of units #7 and #9 to #12 at time T3 relative to time T2 is... r >0, therefore it is classified as a priority regulating unit group Ω yx，2 The ultra-short-term power prediction change value ΔP of Unit 8 at time T3 relative to time T2 r <0, therefore it is classified as a standby regulating unit group Ω by，2 .

[0157] In the group of wind turbine units that can participate in regulation, the ultra-short-term power prediction change value ΔP of unit #14 at time T3 relative to time T2 is... r >0, therefore it is classified as a priority regulating unit group Ω yx，3 The ultra-short-term power prediction change ΔP of units #13, #15, and #16 at time T3 relative to time T2 r <0, therefore it is classified as a standby regulating unit group Ω by，3 .

[0158] 3. When the grid frequency is disturbed at time T2, with a disturbance frequency of f = 50.3Hz, the change in the current active power of the wind farm calculated in step 3) is as follows:

[0159]

[0160] IV. Calculate the maximum theoretical active power P = 18.1 MW of the whole field at T2 according to the short-term wind power prediction data.

[0161] Calculate the adjustable active power capacity ΔP of the priority regulating unit group Ω according to step 4) yx yx :

[0162]

[0163]

[0164] ΔP yx = P yx，r，2 - P yx，r，1 = 16.1-10.7 = 5.4 (MW) > ΔP

[0165] V. Judge the regulating power shortage of the priority regulating unit group Ω according to step 5) yx :

[0166] ΔP yx，q = ΔP - ΔP yx = 3-5.4 = -2.4 < 0

[0167] It is indicated that only the priority regulating unit group participates in the regulation.

[0168] 1. Calculate the active power regulating proportion K1 of the No. 1 priority regulating unit group and the active power regulating proportion μ of each priority regulating unit in the No. 1 regulating unit group yx :

[0169]

[0170]

[0171] The calculation steps are similar, so the calculation steps are omitted to obtain the active power regulating proportion μ of each priority regulating unit in the No. 1 regulating unit group:

[0172] μ yx，2# = 30.95%

[0173] μ yx，4# = 28.57%

[0174] μ yx，5# = 11.90%

[0175] Calculate the active power regulating amount ΔP of each priority regulating unit in the No. 1 priority regulating unit group x，1 :

[0176] ΔP 1#，1 = K1 × μ yx，1# ​XAP = 39.25% x 28.57% x (-3) = -0.336 (MW)

[0177] AP 2#，1 = -0.364 (MW)

[0178] AP 4#，1 = -0.336 (MW)

[0179] AP 5#，1 = -0.140 (MW)

[0180] 2, Calculate the active power regulation ratio K2 of the No. 2 priority regulation unit group and the active power regulation ratio μ of each priority regulation unit in the No. 2 priority regulation unit group yx :

[0181]

[0182]

[0183] The calculation steps are similar, so the calculation steps are omitted to obtain the active power regulation ratio μ of each priority regulation unit in the No. 2 priority regulation unit group:

[0184] μ yx，9# = 21.57%

[0185] μ yx，10# = 19.61%

[0186] μ yx，11# = 23.53%

[0187] μ yx，12# = 13.72%

[0188] Calculate the active power regulation amount ΔP of each priority regulation unit in the No. 2 priority regulation unit group x，2 :

[0189] AP 7#，2 = K2 x μ yx，7# x AP = 47.66% x 21.57% x (-3) = -0.308 (MW)

[0190] AP 9#，2 = -0.308 (MW)

[0191] AP 10#，2 = -0.280 (MW)

[0192] AP 11#，2 = -0.336 (MW)

[0193] AP 12#，2 = -0.196 (MW)

[0194] 3. Calculate the active power regulation proportion K3 of the No. 3 priority regulation unit group and the active power regulation proportion μ of each priority regulation unit in the No. 3 regulation unit group yx :

[0195]

[0196]

[0197] Calculate the active power regulation amount ΔP of each priority regulation unit in the No. 3 priority regulation unit group x，3 :

[0198] ΔP 14#，2 = K3 x μ yx，14# x ΔP = 13.08% x 100% x (-3) = -0.392 (MW)

[0199] Six, issue the instruction to start the regulation.

[0200] The second aspect of the present application provides a system for implementing the above-mentioned wind turbine active power optimization distribution method, comprising:

[0201] A first classification module is configured to divide the wind turbines in the wind farm into a non-participating regulation wind turbine group and N participating regulation wind turbine groups;

[0202] A second classification module is configured to divide the wind turbines in the Mth participating regulation wind turbine group into the Mth priority regulation unit group or the Mth standby regulation unit group according to the ultra-short-term power prediction change value of the wind turbines in the Mth participating regulation wind turbine group;

[0203] A first calculation module is configured to calculate the total active power change amount that the wind farm should adjust according to the current frequency change amount of the power grid;

[0204] A second calculation module is configured to calculate the maximum theoretical active power of the wind farm according to the short-term wind power prediction data, and calculate the adjustable active power margin of each priority regulation unit group and standby regulation unit group based on the proportional relationship between the maximum theoretical active power of the wind farm and the rated power of the wind farm;

[0205] A third calculation module is configured to select wind turbines from the priority regulation unit group and standby regulation unit group for wind farm power regulation amount distribution based on the adjustable active power margin.

[0206] The third aspect of the present application provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned wind turbine active power optimization distribution method when executing the computer program.

[0207] In a fourth aspect, the present application provides a computer readable storage medium, which stores a computer program. The computer program, when executed by a processor, implements the wind turbine active power optimization distribution method as described above.

[0208] Those skilled in the art will understand that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk memory, CD-ROM, optical memory, etc.) containing computer-usable program code.

[0209] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing apparatus to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing apparatus generate a means for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus that implements the functions specified in the flowcharts and / or block diagrams.

[0210] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to work in a specific manner, so that the instructions stored in the computer readable memory produce a manufacture product including instruction apparatus, which implements the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus that implements the functions specified in the flowcharts and / or block diagrams.

[0211] These computer program instructions can also be loaded into a computer or other programmable data processing apparatus, so that a series of operation steps are performed on the computer or other programmable data processing apparatus to produce a computer-implemented process, so that the instructions executed on the computer or other programmable data processing apparatus provide a process for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus that implements the functions specified in the flowcharts and / or block diagrams.

[0212] It is apparent that the application can be carried out by other embodiments that do not depart from the spirit or essential characteristics thereof. Thus, the embodiments disclosed in this specification are to be considered in all respects as illustrative and not restrictive, and all changes coming within the meaning and equivalency range of the application are intended to be embraced therein.

Claims

1. A method for optimizing active power distribution in a wind turbine generator system, the method comprising: The method comprises the following steps: The wind turbines in the wind farm are divided into a group of wind turbines that cannot participate in regulation and a plurality of groups of wind turbines that can participate in regulation; The wind turbines in the group of wind turbines that can participate in regulation are divided into a group of priority regulation wind turbines or a group of standby regulation wind turbines according to the ultra-short-term power prediction change value of the wind turbines in the group of wind turbines that can participate in regulation; The total active power change value that the wind farm should adjust is calculated according to the current frequency change value of the power grid; The maximum theoretical active power of the wind farm is calculated according to short-term wind power prediction data, and the adjustable active power margin of each group of priority regulation wind turbines and each group of standby regulation wind turbines is calculated based on the proportional relationship between the maximum theoretical active power of the wind farm and the rated power of the wind farm; The wind turbines are selected from the group of priority regulation wind turbines and the group of standby regulation wind turbines based on the adjustable active power margin to distribute the wind farm power regulation value, which comprises the following steps: (1) When the maximum theoretical active power P is in the range of 60%P N ~ 90%P N , the maximum active power P is limited to 90%P Computing a regulatable active power margin ΔP yx for a group of priority regulating units Ω yx ; Wherein, M indicates the number of priority regulating unit groups, M≥1, and 1≤i≤M; P yx indicates the total adjustable active power of the priority regulating unit groups; indicates the adjustable active power of the Mth priority regulating unit group; P yx，r,1 indicates the total adjustable active power of the priority regulating unit groups at the first time; P yx，r,2 indicates the total adjustable active power of the priority regulating unit groups at the second time; (2) If the active power P is in the interval range of 30%P N ~ 40%P N at this time: Computing the adjustable active power margin ΔP yx of the priority regulating unit group Ω yx : Wherein, M indicates the number of priority regulating unit groups, M≥1, and 1≤i≤M; P yx indicates the total adjustable active power of the priority regulating unit groups; indicates the adjustable active power of the Mth priority regulating unit group; P yx，r,1 indicates the total adjustable active power of the priority regulating unit groups at the first time point, P yx，r,2 indicates the total adjustable active power of the priority regulating unit groups at the second time point.

2. The wind turbine active power optimization allocation method of claim 1, wherein, The wind turbines in the wind farm are divided into a group of wind turbines that cannot participate in regulation and a plurality of groups of wind turbines that can participate in regulation, and the specific method is as follows: The wind turbines in the wind farm are divided into a group of wind turbines that cannot participate in regulation and a plurality of groups of wind turbines that can participate in regulation, and the specific method is as follows:

3. The wind turbine active power optimization allocation method of claim 1, wherein, The wind turbines in the group of wind turbines that can participate in regulation are divided into a group of priority regulation wind turbines or a group of standby regulation wind turbines, and the specific method is as follows: According to real-time wind speed data and ultra-short-term wind power prediction data, the ultra-short-term power prediction change value ΔP of the wind turbine in the wind turbine group that can participate in adjustment at T2 relative to T1 is calculated r If ΔP rr >0, the current wind turbine is divided into the priority adjustment group, and if ΔP r <0, the current wind turbine is divided into the standby adjustment group.

4. The wind turbine active power optimization allocation method of claim 3, wherein, Ultra-short-term power prediction change value ΔP r is calculated as follows: ΔP r = P r,2 - P r,1 (1) where P r,1 is the first time power value, P r,2 is the predicted second time power value.

5. The wind turbine active power optimization allocation method of claim 4, wherein, The total active power change value that the wind farm should adjust is calculated according to the current frequency change value of the power grid where: Kf is the active frequency regulation coefficient; P N is the rated power of the wind farm; f N is the rated frequency of the power system; and △f is the power system frequency deviation.

6. The wind turbine active power optimization allocation method of claim 5, wherein, The maximum theoretical active power of the wind farm is calculated according to short-term wind power prediction data, and the adjustable active power margin of each group of priority regulation wind turbines and each group of standby regulation wind turbines is calculated based on the proportional relationship between the maximum theoretical active power of the wind farm and the rated power of the wind farm; (1) when the maximum theoretical active power P is in the interval range of 60%P N ~ 90%P N , the control system 1 is configured to control the power converter 2 to operate in the first operating mode. Computing the adjustable active power margin ΔP yx of the priority regulating unit group Ω yx ; When ΔP yx ≥ ΔP, the adjustable active power margin ΔP yx of the unit group Ω yx can meet the total active power change amount ΔP; When ΔP yx When ΔP yx When ΔP yx When ΔP yx When ΔP yx，q : ΔP yx，q = ΔP - ΔP yx (6) Computing a reserve regulating unit group Ω by adjustable active power margin ΔP by : ΔP by = P by，r,2 - P by，r,1 (8) Wherein, m indicates the number of standby regulating unit groups, m≥1, and 1≤j≤m; P by indicates the total adjustable active power of the standby regulating unit groups; P Ωby，m indicates the adjustable active power of the mth standby regulating unit group; P by，r,1 indicates the total adjustable active power of the standby regulating unit groups at the first time; P by，r,2 indicates the total adjustable active power of the standby regulating unit groups at the second time; (2) If the active power P is in the interval range of 30%P N ~ 40%P N at this time: When ΔP yx ≥ ΔP, the adjustable active power margin ΔP yx of the unit group Ω yx can meet the total active power change amount ΔP; When ΔP yx < ΔP, the adjustable active power margin ΔP yx of the group of priority regulating units Ω yx cannot satisfy the total active power change ΔP yx , the regulating power shortage ΔP yx，q of the group of priority regulating units Ω is calculated. ΔP yx，q = ΔP - ΔP yx (12) Computing a reserve regulating unit group Ω by adjustable active power margin ΔP by : ΔP by = v by，r,2 - P by，r,1 (14) Wherein, m indicates the number of standby regulating unit groups, m≥1, and 1≤j≤m; P by indicates the total adjustable active power of the standby regulating unit groups; P Ωby，m indicates the adjustable active power of the mth standby regulating unit group; P by，r,1 indicates the total adjustable active power of the standby regulating unit groups at the first time; P by，r,2 indicates the total adjustable active power of the standby regulating unit groups at the second time.

7. The wind turbine active power optimization allocation method of claim 6, wherein, The wind turbines are selected from the group of priority regulation wind turbines and the group of standby regulation wind turbines based on the adjustable active power margin to distribute the wind farm power regulation value, which comprises the following steps: (1) When the priority regulating unit group Ω yx has a power shortage ΔP yx，q ≤0, only the priority regulating unit group participates in the regulation. calculating an active power regulation proportion K of each priority regulation unit group M and an active power regulation proportion μ of each priority regulation unit in the priority regulation unit group yx : Wherein, M indicates the number of priority regulation wind turbine groups, x indicates the number of priority regulation wind turbines, and x≥1; calculating an active power adjustment amount ΔP of each priority regulating unit in each priority regulating unit group x，M ΔP x，M = K M x μ yx x ΔP (17) The active power regulation value is distributed to each wind turbine according to the regulation instruction; (2) When the regulating power shortage ΔP of the priority regulating unit group Ω yx > 0, the adjustable active power margin ΔP of the priority regulating unit group is used up, at which time the standby regulating unit group also participates in the regulation; yx，q yx regulating unit group is used up, at which time the standby regulating unit group also participates in the regulation;​ The active power regulation value of the standby regulation wind turbine group is calculated as follows: ΔP by = ΔP - ΔP yx (18) calculating an active power regulation proportion K of each reserve regulating unit group m and an active power regulation proportion μ of each reserve regulating unit in the reserve regulating unit group by : Wherein, m indicates the number of standby regulation wind turbine groups, y indicates the number of standby regulation wind turbines, and y≥1; calculating an active power adjustment amount ΔP of each backup regulating unit in each backup regulating unit group y，m ΔP y，m = K m x μ by x ΔP (21) The active power regulation value is distributed to each wind turbine according to the regulation instruction.

8. A system for implementing the method of claim 1 for optimizing the active power distribution of a wind turbine, characterized by, It comprises: The first classification module is used for dividing the wind turbines in the wind farm into a group of wind turbines that cannot participate in regulation and a plurality of groups of wind turbines that can participate in regulation; The second classification module is used for dividing the wind turbines in the group of wind turbines that can participate in regulation into a group of priority regulation wind turbines or a group of standby regulation wind turbines according to the ultra-short-term power prediction change value of the wind turbines in the group of wind turbines that can participate in regulation The first calculation module is used for calculating the total active power change value that the wind farm should adjust according to the current frequency change value of the power grid; The second calculation module is used for calculating the maximum theoretical active power of the wind farm according to short-term wind power prediction data, and calculating the adjustable active power margin of each group of priority regulation wind turbines and each group of standby regulation wind turbines based on the proportional relationship between the maximum theoretical active power of the wind farm and the rated power of the wind farm; The third computing module is configured to select wind turbines from the priority regulating unit group and the standby regulating unit group based on the adjustable active power margin to perform wind farm power regulation amount distribution.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The processor executes the computer program to implement the wind turbine active power optimization distribution method of any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1-9. The computer program is executed by the processor to implement the wind turbine active power optimization distribution method of any one of claims 1 to 7.

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