CN112636386B - Distributed wind power cluster control method and system based on dynamic partition - Google Patents
Distributed wind power cluster control method and system based on dynamic partition Download PDFInfo
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- H—ELECTRICITY
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Abstract
The invention discloses a distributed wind power cluster control method and system based on dynamic partitioning, wherein the method comprises the following steps: forming a plurality of partition schemes for each time section according to the power grid characteristics and the wind power generation condition; calculating the cost of autonomous control of each area under each partition scheme; integrating the information of all the partition autonomous control costs to form an optimal partition scheme of all the time periods; and partitioning the distributed wind power according to an optimal partitioning scheme of each time period to form a plurality of clusters, and controlling wind power units in the area in the clusters. The system comprises a wind power cluster coordination control module, a regional control module and a regional control module, wherein the wind power cluster coordination control module is used for forming a regional scheme and generating regional control modules corresponding to the number of the regional areas; and the area management and control module is used for calculating the cost of autonomous control of the local cluster area and controlling the wind power unit of the local area. The invention can reduce the wind abandoning, reduce the network loss and the control cost of the wind turbine, ensure that the whole operation cost of the distributed wind power is the lowest, and has the control rapidity and convenient maintenance.
Description
Technical Field
The invention relates to the technical field of wind power generation, in particular to a distributed wind power cluster control method and system based on dynamic partitioning.
Background
Distributed wind power is located near the center of a power load, and is not used for the purpose of large-scale remote power transmission, and generated power is nearby and is accessed to the network and consumed locally.
Wind power output is mainly affected by wind speed, and has strong uncertainty in time and space. When the wind power output is smaller than the load demand, the large power grid is required to transmit power to balance the supply and demand or cut the load, so that the line loss is increased or the production operation loss is caused; when the wind power output is greater than the load demand, the wind power output is reduced, and the wind abandoning phenomenon is generated. In addition, wind power construction is usually far from a central network, and the grid structure is weak. The large-scale wind power with the characteristics of intermittent output and fluctuation can be connected to influence the safe and stable operation of the power grid.
The distributed wind power distribution points are more, the regulation and control range is wide, and the control method at the present stage is mainly divided into a centralized type and an on-site type. The centralized control has overall performance, but has strong dependence on communication efficiency, and particularly when the number of nodes is large, the operation efficiency is low, and the adjustment is lagged; the in-situ control can quickly adjust the local area, but is not easy to realize global optimization. The method has the advantages of combining the existing two control modes, the whole distributed wind power can be divided into a plurality of clusters, each cluster is controlled in a centralized manner, and in-situ control is realized in a cluster area.
The prior art has focused mainly on the in-situ control of a single area or single wind farm, as in the patent of the invention of publication nos. CN106130068A and CN106159961a, which obviously cannot be applied to distributed point-rich distributed discharges; the invention patent such as bulletin No. CN108899927A and bulletin No. CN109659947A is used for carrying out partition control on distributed wind power based on the network topology position, and the wind power output characteristic and the load characteristic are not considered, so that the load shedding or wind abandoning phenomenon is easy to generate; in addition, the invention patent such as publication number CN110994702a considers the active/reactive-voltage sensitivity in zoning, making zoning for zone control more reasonable. However, the existing partition technology is a fixed partition performed according to a certain scene section, and under the actual conditions that wind power output has randomness and load power demand changes with time, the wind abandoning phenomenon is easy to generate or network line loss is increased.
Disclosure of Invention
In view of the above, an object of the embodiments of the present invention is to provide a distributed wind power cluster control method and system based on dynamic partitioning, which can form a plurality of partition schemes for distributed wind power control of each time section according to regional typical solar wind speed characteristics, network load characteristics and wind power topology positions, and select an optimal partition scheme for the distributed wind power cluster control, so that wind abandoning can be reduced, line loss and fan control cost can be reduced, overall operation cost of the distributed wind power can be minimized, and control rapidity can be considered; the control system based on the control method carries out partition treatment and wind power control in each area on the partition module respectively, so that the operation speed can be increased, and the maintenance is convenient.
In a first aspect, an embodiment of the present invention provides a distributed wind power cluster control method based on dynamic partitioning, including:
and forming a plurality of partition schemes for each time section according to the power grid characteristics and the wind power generation condition.
And calculating the cost of autonomous control of each area under each partition scheme.
And integrating the information of all the partition autonomous control costs under each partition scheme, and sequentially forming the optimal partition scheme of all the time periods.
And partitioning the distributed wind power into clusters according to an optimal partitioning scheme of each time period, and controlling the wind power units in each region.
With reference to the first aspect, the embodiment of the present invention provides a first possible implementation manner of the first aspect, where the power grid characteristics and wind power generation conditions include:
wind power topology location.
Network load characteristics.
Regional typical solar and wind speed characteristics.
With reference to the first aspect, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where the calculating a cost of autonomous control over each area under each partition scheme includes:
minimum value min f=λ of area autonomous control cost 1 F 1 +λ 2 F 2 +λ 3 F 3 ，F 1 Punishment of costs for regional wind curtailment, F 2 For controlling and adjusting the cost of the fan, F 3 For regional line loss cost, lambda 1 、λ 2 、λ 3 Is F 1 、F 2 、F 3 Weight coefficient of (c) in the above-mentioned formula (c).
Wherein, regional abandoned wind punishment costK 1 Punishment cost per unit of waste air proportion, P t Calculating the total power P of the wind power generation of the region under the current time section ref At the wind speed of the current time section, regional windThe force generation can generate total power.
Wherein, the fan controls the adjustment costK 2 The cost of the proportion of times per unit of each fan in the area is regulated, M is the total number of fans in the area, and N mt The number of times of adjustment of the mth fan in the area is calculated and is +.>The total times can be adjusted for the m-th fan in the area.
Cost of regional line loss F 3 ＝K 3 P losst Wherein K is 3 Is the unit line loss cost, P losst And (5) obtaining the regional bus loss calculated under the current time section.
With reference to the first aspect, the embodiment of the present invention provides a third possible implementation manner of the first aspect, where the lowest value function of the autonomous control cost of the area is solved under a constraint condition.
The constraint conditions include:
the constraint of the power flow,wherein P is j Active power injected for each node, Q j Reactive power injected for each node, U k For the current voltage amplitude of the region k node, U j For the current voltage amplitude of the node of the region j, G jk And B jk Being the transadmittance of the j-node and the k-node of the region, θ jk The voltage phase difference between the j node and the k node of the region is shown, and n is the total number of the nodes of the region.
The node voltage is constrained by the voltage at the node,wherein U is j Is the voltage magnitude at node j in the region,respectively the inner sections of the regionThe voltage amplitude at point j is minimum and maximum.
The constraint of wind power generation,wherein P is i Active power of the ith wind power generation unit in the area, P i max Maximum active power of the ith wind power generation unit in the area, Q i Reactive power for the i-th wind power generation unit in the area,/->The minimum and maximum reactive power of the i-th wind power generation unit in the area are respectively.
The fan is regulated for times constraint,wherein N is m For the number of times of adjustment of the m-th fan of the zone, < +.>The total times can be adjusted for the m-th fan in the area.
With reference to the first aspect, an embodiment of the present invention provides a fourth possible implementation manner of the first aspect, where the integrating information of all partition autonomous control costs under each partition scheme forms an optimal partition scheme for all time periods, including:
integrating the information of the autonomous control cost of each area under all partition schemes;
and comparing the sum of the autonomous control costs of all the subareas under each scheme to obtain the scheme with the minimum sum of the autonomous control costs of all the subareas, which is the optimal subarea scheme under the time section.
And sequentially obtaining the optimal partition schemes of all the time periods, and storing.
With reference to the first aspect, an embodiment of the present invention provides a fifth possible implementation manner of the first aspect, where the partitioning, according to an optimal partitioning scheme of each time period, of distributed wind power into clusters, each area controlling an internal wind power unit includes:
and partitioning the distributed wind power according to the obtained optimal partitioning scheme of each time period to form a plurality of clusters.
And each area controls the wind power units in the area according to the autonomous control method obtained by the lowest autonomous control cost of the area.
In a second aspect, the embodiment of the invention also provides a distributed wind power cluster control system based on dynamic partitioning, which comprises a wind power cluster coordination control module and a region management and control module.
The wind power cluster coordination control module is used for forming a plurality of partition schemes, and each scheme forms a regional management control module with corresponding partition quantity.
The regional management and control module is used for calculating the cost of autonomous control of the regional and controlling the wind power unit of the regional.
With reference to the second aspect, the embodiment of the present invention provides a first possible implementation manner of the second aspect, where the wind power cluster coordination control module includes:
and the partition calculation unit is used for forming a plurality of partition schemes for each time section according to the power grid characteristics and the wind power generation condition.
And the cost calculation unit is used for calculating the cost of autonomous control of all areas under each partition scheme.
And the synthesis unit is used for synthesizing the information of the cost of all the partition schemes and sequentially forming the optimal partition scheme of all the time periods.
In a third aspect, embodiments of the present invention also provide a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method as described above when executing the computer program.
In a fourth aspect, embodiments of the present invention also provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method as described above.
The embodiment of the invention has the beneficial effects that:
according to the distributed wind power cluster control method and system based on dynamic partitioning, a plurality of partitioning schemes are formed for distributed wind power control of each time section according to regional typical solar wind speed characteristics, network load characteristics and wind power topological positions, the optimal partitioning scheme is selected for partitioning cluster control, wind abandoning can be reduced, line loss and fan control cost are reduced, the overall operation cost of distributed wind power is the lowest, and control rapidity is considered; the control system based on the control method carries out partition treatment and wind power control in each area on the partition module respectively, so that the operation speed can be increased, and the maintenance is convenient.
Drawings
For a clearer description of the technical solutions of the embodiments of the present invention, the following brief description of the drawings is given for the purpose of the embodiments, it being understood that the following drawings only illustrate some embodiments of the present invention and should not be considered as limiting the scope, and that other related drawings can be obtained according to these drawings without the need of inventive effort for a person skilled in the art.
The distributed wind power cluster control method and system based on dynamic partitioning of the invention are described in further detail below with reference to the accompanying drawings and detailed description.
FIG. 1 is a flow chart of a distributed wind power cluster control method based on dynamic partitioning;
FIG. 2 is a schematic view of typical solar and wind speeds in a region of a distributed wind farm according to the present invention;
FIG. 3 is a daily life load schematic diagram of a region of a distributed wind power cluster according to the invention;
FIG. 4 is a schematic diagram of agricultural loads in a region of a distributed wind power cluster according to the present invention;
FIG. 5 is a schematic diagram of a traditional industrial daily load in a region of a distributed wind power cluster according to the present invention;
FIG. 6 is a schematic diagram of a commercial daily load of a region of a distributed wind farm according to the present invention;
FIG. 7 is a schematic diagram of an IEEE33 node power distribution network model constructed in a partitioning scheme of the invention and including distributed wind power access.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention.
Some embodiments of the present invention are described in detail below with reference to the accompanying drawings. The following embodiments and features of the embodiments may be combined with each other without conflict.
Referring to fig. 1 to 7, a first embodiment of the present invention provides a distributed wind power cluster control method based on dynamic partitioning, including:
and forming a plurality of partition schemes for each time section according to the power grid characteristics and the wind power generation condition.
And calculating the cost of autonomous control of each area under each partition scheme.
And integrating the information of all the partition autonomous control costs under each partition scheme, and sequentially forming the optimal partition scheme of all the time periods.
And partitioning the distributed wind power into clusters according to an optimal partitioning scheme of each time period, and controlling the wind power units in each region.
With reference to the first aspect, the embodiment of the present invention provides a first possible implementation manner of the first aspect, where the power grid characteristics and wind power generation conditions include:
wind power topology location.
Network load characteristics.
Regional typical solar and wind speed characteristics.
Wherein, regional wind speed is measured at a typical daily whole point in a certain region to form a daily wind speed curve, as shown in fig. 2. As can be seen, the overall difference in wind speed within the day is large and the fluctuation is small within a short period of time. Distributed wind power is often built in suburban, rural or mountain areas, and typical daily load curves of various types are shown in fig. 3 to 6. And (5) researching and analyzing the duty ratio of various types of loads in the region to obtain the overall daily load characteristic of the region.
An IEEE33 node power distribution network model containing distributed wind power access is constructed as shown in fig. 7. For example, according to wind power topological position, network load characteristic and typical solar wind speed characteristic, according to the principle that after the division, at least one controllable wind power generation unit and one load node are contained in the area, one wind power access node or the load node can only be positioned in one division and the area to keep electrical connectivity, a division scheme can be formed under a certain time section: (I) WT1 and nodes 22, 23, 24 are divided into region I; WT2 and nodes 25, 26, 27 are divided into region II; WT3, WT4 and nodes 28, 29, 30, 31, 32 are divided into region III; WT10 and nodes 18, 19, 20, 21 are divided into region IV; WT8, WT9 and nodes 12, 13, 14, 15, 16, 17 are divided into regions V; WT5, WT6, WT7 and nodes 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 are divided into areas VI; (ii) region I, VI, V, VI is unchanged; the region II and the region III are combined into one region; (iii) region I, II, III, IV, V is unchanged; region VI is divided into two regions: WT5, WT6 and nodes 1, 2, 3, 4, 5, 6, 7, 8 are divided into one region; WT7 and nodes 9, 10, 11 are divided into one region, etc.
The calculating the cost of each area for autonomous control under each partition scheme comprises the following steps:
minimum value minf=λ of area autonomous control cost 1 F 1 +λ 2 F 2 +λ 3 F 3 ，F 1 Punishment of costs for regional wind curtailment, F 2 For controlling and adjusting the cost of the fan, F 3 For regional line loss cost, lambda 1 、λ 2 、λ 3 Is F 1 、F 2 、F 3 Weight coefficient of (c) in the above-mentioned formula (c).
Wherein, regional abandoned wind punishment costK 1 Punishment cost per unit of waste air proportion, P t Calculating the total power P of the wind power generation of the region under the current time section ref The total power of regional wind power generation can be generated at the wind speed of the current time section.
Wherein, the fan controls the adjustment costK 2 The cost of the proportion of times per unit of each fan in the area is regulated, M is the total number of fans in the area, and N mt The number of times of adjustment of the mth fan in the area is calculated and is +.>The total times can be adjusted for the m-th fan in the area.
Cost of regional line loss F 3 ＝K 3 P losst Wherein K is 3 Is the unit line loss cost, P losst And (5) obtaining the regional bus loss calculated under the current time section.
And solving the lowest value function of the autonomous control cost of the area under the constraint condition.
The constraint conditions include:
the constraint of the power flow,wherein P is j Active power injected for each node, Q j Reactive power injected for each node, U k For the current voltage amplitude of the region k node, U j For the current voltage amplitude of the node of the region j, G jk And B jk Being the transadmittance of the j-node and the k-node of the region, θ jk The voltage phase difference between the j node and the k node of the region is shown, and n is the total number of the nodes of the region.
The node voltage is constrained by the voltage at the node,wherein U is j Is the voltage magnitude at node j in the region,the voltage amplitude of the node j in the region is minimum and maximum respectively.
The constraint of wind power generation,wherein P is i Active power of the ith wind power generation unit in the area, P i max Maximum active power of the ith wind power generation unit in the area, Q i Reactive power for the i-th wind power generation unit in the area,/->The minimum and maximum reactive power of the i-th wind power generation unit in the area are respectively.
The fan is regulated for times constraint,wherein N is m For the number of times of adjustment of the m-th fan of the zone, < +.>The total times can be adjusted for the m-th fan in the area.
The method for forming the optimal partition scheme of all time periods by integrating the information of all the partition autonomous control costs under each partition scheme comprises the following steps:
and integrating the information of the autonomous control cost of each area under all the partition schemes.
And comparing the sum of the autonomous control costs of all the subareas under each scheme to obtain the scheme with the minimum sum of the autonomous control costs of all the subareas, which is the optimal subarea scheme under the time section.
And sequentially obtaining the optimal partition schemes of all the time periods, and storing.
The method for partitioning distributed wind power into clusters according to the optimal partitioning scheme of each time period comprises the steps of:
and partitioning the distributed wind power according to the obtained optimal partitioning scheme of each time period to form a plurality of clusters.
And each area controls the wind power units in the area according to the autonomous control method obtained by the lowest autonomous control cost of the area.
The second embodiment of the invention provides a distributed wind power cluster control system based on dynamic partitioning, which comprises a wind power cluster coordination control module and a region management control module.
The wind power cluster coordination control module is used for forming a plurality of partition schemes, and each scheme forms a regional management control module with corresponding partition quantity.
The regional management and control module is used for calculating the cost of autonomous control of the regional and controlling the wind power unit of the regional.
Wherein, wind power cluster coordination control module includes:
and the partition calculation unit is used for forming a plurality of partition schemes for each time section according to the power grid characteristics and the wind power generation condition.
And the cost calculation unit is used for calculating the cost of autonomous control of all areas under each partition scheme.
And the comprehensive unit is used for integrating the information of all the partition autonomous control costs and sequentially forming an optimal partition scheme of all the time periods.
A third embodiment of the invention provides a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method as described above when executing the computer program.
A fourth embodiment of the invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method as described above.
The embodiment of the invention aims to protect a distributed wind power cluster control method and system based on dynamic partitioning, and the distributed wind power cluster control method and system have the following effects:
according to the regional typical solar wind speed characteristics, the network load characteristics and the wind power topological positions, a plurality of partition schemes are formed for distributed wind power control of each time section, and the optimal partition scheme is selected for partition cluster control, so that the wind abandoning, the line loss and the fan control cost can be reduced, the overall operation cost of the distributed wind power is minimum, and the control rapidity is considered; the control system based on the control method carries out partition treatment and wind power control in each area on the partition module respectively, so that the operation speed can be increased, and the maintenance is convenient.
The computer program product of the distributed wind power cluster control method and device provided by the embodiment of the invention comprises a computer readable storage medium storing program codes, and the instructions included in the program codes can be used for executing the method in the previous method embodiment, and specific implementation can be referred to the method embodiment and will not be repeated here.
Specifically, the storage medium can be a general storage medium, such as a mobile magnetic disk, a hard disk, and the like, and when the computer program on the storage medium is executed, the distributed wind power cluster control method can be executed, so that the operation speed can be increased, and the maintenance is convenient.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer readable storage medium executable by a processor. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Finally, it should be noted that: the above examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1. A distributed wind power cluster control method based on dynamic partitioning is characterized by comprising the following steps:
forming a plurality of partition schemes for each time section according to the power grid characteristics and the wind power generation condition;
calculating the cost of autonomous control of each area under each partition scheme;
synthesizing information of autonomous control cost of all the subareas under each subarea scheme, and sequentially forming an optimal subarea scheme of all time periods;
partitioning the distributed wind power according to an optimal partitioning scheme of each time period to form clusters, and controlling internal wind power units in each region;
the calculating the cost of each area for autonomous control under each partition scheme includes:
minimum value minf=λ of area autonomous control cost 1 F 1 +λ 2 F 2 +λ 3 F 3 ，F 1 Punishment of costs for regional wind curtailment, F 2 For controlling and adjusting the cost of the fan, F 3 For regional line loss cost, lambda 1 、λ 2 、λ 3 Is F 1 、F 2 、F 3 Weight coefficient of (2);
wherein, regional abandoned wind punishment costK 1 Punishment cost per unit of waste air proportion, P t Calculating the total power P of the wind power generation of the region under the current time section ref At the wind speed of the current time section, the zoneThe total power of the field wind power generation can be generated;
wherein, the fan controls the adjustment costK 2 The cost of the proportion of times per unit of each fan in the area is regulated, M is the total number of fans in the area, and N mt The number of times of adjustment of the mth fan in the area is calculated and is +.>The total times of the mth fans in the area can be adjusted;
cost of regional line loss F 3 ＝K 3 P losst Wherein K is 3 Is the unit line loss cost, P losst And (5) obtaining the regional bus loss calculated under the current time section.
2. The distributed wind power cluster control method based on dynamic partitioning according to claim 1, wherein the grid characteristics and wind power generation conditions comprise:
wind power topology location;
network load characteristics;
regional typical solar and wind speed characteristics.
3. The distributed wind power cluster control method based on dynamic partitioning according to claim 1, wherein the lowest value function of the area autonomous control cost is solved under constraint conditions;
the constraint conditions include:
the constraint of the power flow,wherein P is j Active power injected for each node, Q j Reactive power injected for each node, U k For the current voltage amplitude of the region k node, U j For the current voltage amplitude of the node of the region j, G jk And B jk For the j-node and k-node of the regionAdmittance, theta jk The voltage phase difference between the j node and the k node of the region is obtained, and n is the total number of the nodes of the region;
the node voltage is constrained by the voltage at the node,wherein U is j Is the voltage amplitude of node j in the region, +.>The voltage amplitude of the node j in the region is minimum and maximum respectively;
the constraint of wind power generation,wherein P is i Active power of the ith wind power generation unit in the area, P i max Maximum active power of the ith wind power generation unit in the area, Q i Reactive power for the i-th wind power generation unit in the area,/->Minimum reactive power and maximum reactive power of the ith wind power generation unit in the area respectively;
the fan is regulated for times constraint,wherein N is m For the number of times of adjustment of the m-th fan of the zone, < +.>The total times can be adjusted for the m-th fan in the area.
4. The distributed wind power cluster control method based on dynamic partitioning according to claim 1, wherein the integrating the information of all the partition autonomous control costs under each partition scheme sequentially forms an optimal partition scheme of all the time periods, and includes:
integrating the information of the autonomous control cost of each area under all partition schemes;
comparing the sum of the autonomous control costs of all the subareas under each scheme to obtain the scheme with the minimum sum of the autonomous control costs of all the subareas, which is the optimal subarea scheme under the time section;
and sequentially obtaining the optimal partition schemes of all the time periods, and storing.
5. The distributed wind power cluster control method based on dynamic partitioning according to claim 1, wherein the partitioning of distributed wind power according to an optimal partitioning scheme for each time period forms clusters, and each region controls internal wind power units, and the method comprises the following steps:
partitioning the distributed wind power according to the obtained optimal partitioning scheme of each time period to form a plurality of clusters;
and each area controls the wind power units in the area according to the autonomous control method obtained by the lowest autonomous control cost of the area.
6. The distributed wind power cluster control system based on the dynamic partition is characterized by comprising a wind power cluster coordination control module and a region management control module;
the wind power cluster coordination control module is used for forming a plurality of partition schemes for each time section according to the power grid characteristics and the wind power generation conditions, and each scheme forms regional management and control modules with corresponding partition quantity;
the regional management and control module is used for calculating the cost of autonomous control of the regional and controlling the wind power unit of the regional;
calculating the cost of autonomous control of each area under each partition scheme, including:
minimum value minf=λ of area autonomous control cost 1 F 1 +λ 2 F 2 +λ 3 F 3 ，F 1 Punishment of costs for regional wind curtailment, F 2 For controlling and adjusting the cost of the fan, F 3 For regional line loss cost, lambda 1 、λ 2 、λ 3 Is F 1 、F 2 、F 3 Weight coefficient of (2);
wherein, regional abandoned wind punishment costK 1 Punishment cost per unit of waste air proportion, P t Calculating the total power P of the wind power generation of the region under the current time section ref The total power of regional wind power generation can be generated under the wind speed of the current time section;
wherein, the fan controls the adjustment costK 2 The cost of the proportion of times per unit of each fan in the area is regulated, M is the total number of fans in the area, and N mt The number of times of adjustment of the mth fan in the area is calculated and is +.>The total times of the mth fans in the area can be adjusted;
cost of regional line loss F 3 ＝K 3 P losst Wherein K is 3 Is the unit line loss cost, P losst And (5) obtaining the regional bus loss calculated under the current time section.
7. The distributed wind power cluster control system based on dynamic partitioning of claim 6, wherein the wind power cluster coordination control module comprises:
the partition computing unit is used for forming a plurality of partition schemes for each time section according to the power grid characteristics and the wind power generation conditions;
the cost calculation unit is used for calculating the cost of autonomous control of all areas under each partition scheme;
and the synthesis unit is used for synthesizing the information of the cost of all the partition schemes and sequentially forming the optimal partition scheme of all the time periods.
8. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 5 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, implements the method according to any one of claims 1 to 5.
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