A large-scale wind power plant topology planning method and device
A large-scale wind farm, wind power technology, applied in data processing applications, forecasting, instruments, etc., can solve problems such as low efficiency of topology solution, achieve the effect of simple algorithm, low solution difficulty, and improved solution efficiency
Pending Publication Date: 2019-05-28
江苏安纳泰克能源服务有限公司
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[0005] The purpose of the present invention is to provide a large-scale wind farm topology planning method and device, which can solve the problem of low topology solution efficiency when using genetic algorithm, fuzzy C-means algorithm, etc. to plan wind farm topology
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[0050] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
[0051] figure 1 It is a flowchart of a large-scale wind farm topology planning method provided by an embodiment of the present application. The method includes at least the following steps:
[0052] Step 101, acquire the unit positions of n wind turbines in the target wind farm, where n is a positive integer.
[0053] Wherein, the unit location may be the geographic location of each wind turbine; or, it may also be the position on the plane coordinate where the target wind farm is located.
[0054] Suppose there are n wind turbines in the target wind farm, denoted as (x 1 , x 2 ,...,x n), where x n Indicates the two-dimensional position of the nth wind turbine on th...
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The invention relates to a large-scale wind power plant topology planning method and device, and belongs to the technical field of wind power plant engineering. The method comprises the steps of obtaining the positions of n wind turbine generators in a target wind power plant; based on a k-means clustering algorithm, clustering the n wind turbine generators into k wind turbine generator groups according to the positions of the wind turbine generators; for each wind power group in the k wind power groups, determining a minimum spanning tree in the wind power group based on a Prim algorithm to obtain a topological connection mode of the k wind power groups, so that the problem that the topology solving efficiency is low when a genetic algorithm, a fuzzy C-means algorithm and the like are used for planning the wind power plant topology can be solved. Due to the fact that the k-means clustering algorithm and the Prim algorithm are simple in algorithm and low in solving difficulty, the solving efficiency of the topology can be improved.
Description
technical field [0001] The invention relates to a large-scale wind farm topology planning method, which belongs to the technical field of wind farm engineering. Background technique [0002] In recent years, the wind power industry is in the initial stage of steady development. As an important clean energy, wind power has a long way to go in the future. my country's offshore wind energy resources are abundant, and offshore wind energy resources available for development have reached 500 million kilowatts. For offshore wind power operators, as the capacity of offshore wind farms increases and the distance from the shore increases, the topology design of the internal collection network of offshore wind farms is becoming increasingly important. [0003] At present, domestic and foreign research on how to plan the internal topology of offshore wind farms is relatively single. Usually, when doing topology planning, commonly used methods include genetic algorithm, fuzzy C-means ...
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Login to View More IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06K9/62
Inventor 吴飞唐志强陈思
Owner 江苏安纳泰克能源服务有限公司