Wind power plant equivalent value modeling method based on main ingredient analysis method and layered clustering algorithm

Abstract

The invention discloses a wind power plant equivalent value modeling method based on a main ingredient analysis method and a layered clustering algorithm. The method comprises the following steps of extracting 13 complete state variables for expressing the operation state of a wind power unit according to a built mathematical model of a built doubly feed induction generator; on the basis of a mainingredient analysis method, extracting a primary variable expressing the main oscillation features of the state variable in 13 station variables; using the primary variable as a grouping index; usinga layered cluster algorithm for performing clustering grouping on the wind power plant of the doubly feed induction generator; according to the result of the primary variable clustering, dividing thewind power plant into a plurality of machine unit groups; on the basis of the division result, building a wind power plant equivalent value model. The calculation complexity is low; the realization is easy; the application range is wider; the practical requirements of dynamic equivalent value analysis of the wind power plant can be well met; good theoretical basis is provided for analysis of theelectric power system safety and stability after the wind power integration.

Description

technical field [0001] The invention belongs to the technical field of power systems, and in particular relates to a wind farm equivalent modeling method based on a principal component analysis method and a hierarchical clustering algorithm. Background technique [0002] For the research on the safe and stable operation of the power system after wind power is connected to the grid, the primary problem is to build a more accurate wind farm model. If a detailed model of the wind farm is established, it will increase the difficulty of modeling the entire power system. At the same time, the model is difficult to correct, and the time domain simulation time is greatly increased. In practical engineering applications, the entire wind farm is often regarded as a microgrid, and its impact on the power grid is considered. Therefore, it is necessary to build an equivalent model to characterize the operating state of the entire wind farm. The requirements for the model are: the model ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a wind farm equivalent modeling method based on principal component analysis and hierarchical clustering algorithm to solve the problem of high computational complexity and difficulty in existing wind farm models. Realization, failure to meet the actual needs of wind farm dynamic equivalent analysis and other issues

Images