Wind power plant aggregation equivalent modeling method based on principal component analysis and clustering algorithm

Abstract

The invention discloses a wind power plant aggregation equivalent modeling method based on principal component analysis and a clustering algorithm, which aims at the characteristics of complex operation state and high data dimension of a wind turbine generator, considers the influence of variable correlation and data redundancy on a grouping effect, and adopts the principal component analysis and the DBSCAN clustering algorithm to group a wind power plant. According to the method, grouping indexes are selected according to unit types to extract operation data, principal component analysis is applied to carry out dimension reduction processing on the data, a DBSCAN algorithm is applied to carry out unit group division, a capacity weighting method is adopted to calculate equivalent unit parameters, equivalent wind speed is calculated with the principle that input wind energy is equal, and current collection line equivalent parameters are calculated according to an equal power loss method. The established equivalent model can accurately represent the operation characteristics of the wind power plant and is used for analyzing a grid-connected simulation result, and the method plays a very important role in researching the characteristics of a large-scale wind power plant access power system, reducing the requirements on simulation hardware performance, saving simulation time and maintaining the safe and stable operation of the power system.

Description

technical field [0001] The invention belongs to the field of electrical engineering, and specifically relates to a wind farm aggregation equivalent modeling method based on principal component analysis and clustering algorithm. Background technique [0002] With the continuous development of wind power generation technology, the construction of large-scale wind farms has become the main trend of developing and utilizing wind energy in the future. At present, large-scale wind farms generally contain dozens or even hundreds of wind turbines. If a detailed model is established for each wind turbine, the grid-connected operation characteristics of the wind farm can be analyzed more accurately, and the coupling between the station and the grid can be studied. Mechanism, so as to provide theoretical basis and effective information for the safe and stable operation of wind farms after they are connected to the grid and the planning and design of power systems. However, if a detail...

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Problems solved by technology

[0004] The purpose of the present invention is to solve the current large-scale wind farm simulation speed is slow, the accuracy is poor, and the hardware requirements are high. Wind power related research urgently needs an equivalent simulation model that can represent the dynamic characteristics of the wind farm, and the existing aggregation equivalent modeling method has poor accuracy. , which is difficult to apply to the equivalent modeling of wind farms, a method of aggregated equivalent modeling of wind farms based on principal component analysis and clustering algorithms is provided

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