Wind power plant clustering method based on CLARANS clustering

Abstract

The conventional equivalent modeling mode of a wind power plant is single-machine equivalent modeling. A plurality of wind power units in the wind power plant are equivalent to one machine, and the sum of the machine power of the plurality of individual wind power units is the total mechanical input power of the wind power plant. As the large wind power plant is big in occupied area and numerous in quantity of the wind power units, and the wind speed, terrain air temperature and other factors of the environments where the different wind power units are located are very different from one another, a big error may be caused by simply adopting the single-machine equivalent modeling mode, thus being unreasonable to a certain extent. The aim of the invention is to provide a new wind power plant clustering classification method aiming at modeling of the large wind power plant. The classification clustering of the wind power units of the large wind power plant is objectively performed by selecting the multi-machine equivalent mode and adopting the clustering analysis algorithm based on numerical taxonomy. Compared with the conventional wind power unit classification method, the wind power plant clustering method based on CLARANS clustering has the advantages of being objective, stable and high in feasibility.

Description

technical field [0001] The invention belongs to the field of power system simulation modeling, in particular to a method for clustering wind farm units based on CLARANS clustering. technical background [0002] In the process of dynamic simulation research on large-scale wind farms, wind farm modeling is an essential part. The idea of ​​wind farm modeling is mainly divided into two directions. One is to regard the wind farm as a whole composed of dozens to hundreds of wind turbines, and to carry out detailed analysis of multiple generators, multiple step-up transformers and a large number of connecting lines. modeling. The detailed modeling of wind turbines is already very complicated. Simultaneous dynamic modeling of dozens to hundreds of wind turbines will increase the order of the power system, increase the time for power flow calculation, and greatly increase the time for time-domain simulation. The second is to regard the wind farm equivalent as a whole composed of on...

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Problems solved by technology

[0008] Aiming at the problem of aggregation and division of wind power units proposed in the technical background, to achieve the purpose of the invention, the division method of wind farm units using CLARANS clustering is used to solve the problem of clustering of a large number of wind farm units in the process of equivalent modeling of wind farms

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