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Wind power plant parameter identification and dynamic equivalence method based on operation data

A technology for parameter identification and operation data, applied in the field of value, which can solve the problems of identification and model verification of wind turbines and control systems, the validity of equivalent parameters of grouped units remains to be discussed, and the validity of equivalent parameters is negotiated.

Active Publication Date: 2014-06-25
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

[0010] In addition, after searching, it was found that the Chinese patent application number is: 20110162399.X, and the name is: a dynamic equivalent method for large-scale wind farms with doubly-fed wind turbines. The units in the same group will be equivalent to one machine, and then the equivalent wind speed input to the equivalent machine will be calculated, and the equivalent parameters of the grouped units will be obtained; however, the application does not identify the parameters of the wind turbine and the control system and model verification, the validity of the equivalent parameters of grouping units is open to question; the Chinese patent application number is: 200910238099.8, and the name is: a wind farm equivalent modeling method for large-scale wind power centralized access to the power grid. The electrical distance between the grid-connected points of each wind farm in the power grid, the topological distribution of the wind turbines in the field, the model and the control mode, the coherent wind turbine group identification clustering method is used to determine the coherent wind turbine group, and the weighted equivalent parameter aggregation method is used to obtain the equivalent value According to the static equivalent theory, the dynamic electrical parameters of the wind turbines are approximately equivalent to the form of the equivalent machine connected in series with the equivalent impedance, and the relevant static parameters are obtained to obtain the equivalent model of the wind farm
However, the application uses the weighted equivalent parameter aggregation method to obtain the dynamic electrical parameters of the equivalent wind turbines. The parameters of a single generator come from the manufacturer's given or empirical values, and the validity of the equivalent parameters is also open to question.
[0011] According to the search, at present, based on the operation data, the parameter identification of the generator and the control system of the wind farm containing the doubly-fed wind turbine is carried out, and on this basis, the optimization algorithm is used to carry out the dynamic equivalent modeling research. There is no relevant report, which is blank

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  • Wind power plant parameter identification and dynamic equivalence method based on operation data
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  • Wind power plant parameter identification and dynamic equivalence method based on operation data

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[0066] The present invention will be described in further detail below in conjunction with the embodiments and accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0067] figure 1It is the general flow chart of the wind farm parameter identification and dynamic equivalence modeling method based on operating data including doubly-fed wind turbines in the present invention. The method includes the following steps: step a: perform parameter identification on the power and current controller parameters of the wind turbine control model based on measured data, and verify the generality of the identification results; The characteristic variables of the unit and the wind farm are divided into clusters by applying the improved fuzzy K-means dynamic clustering algorithm; steps c : Based on the global optimal position mutation particle swarm optimization algorithm, the network simplification and parameter aggregation of the wind farm are carrie...

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Abstract

The invention discloses a wind power plant parameter identification and dynamic equivalence method based on operation data, comprising the following steps of a) performing recognition on wind generation set control model parameters based on testing data, b) combining with operation data and choosing characteristic variables reflecting the wind generation set and the wind power plant under influence and utilizing the improved fuzzy K average value dynamic clustering algorithm to perform cluster division, c) performing network simplification and parameter optimizing to obtain a wind power plant dynamic equivalence model based on global optimal position mutation particle swarm algorithm, and d) under disturbance input, comparing the wind power dynamic equivalence model with the detailed model dynamic respond to verify the validity of the equivalence model. The wind field dynamic equivalence model constructed by the invention can accurately reflect the dynamic characteristics of grid-connection points of the wind plant and have important construction application values, and can be used in the analysis of the stability of the double-fed wind power plant access power system and provide theory support for the programming and operation scheduling of the wind power plant power system.

Description

technical field [0001] The invention belongs to the field of electric power system modeling in smart grids, and in particular relates to a wind farm parameter identification and dynamic equivalent method based on operating data. Background technique [0002] Wind power is currently the most mature technology in the development and utilization of renewable energy, the most large-scale development and the most promising power generation method for commercialization. , has been paid more and more attention by countries all over the world and has been widely developed and utilized. In recent years, wind power has become the fastest-growing power generation method, and the development speed of wind power in the world is more than 30% every year. The manufacturing level and control technology of large-scale wind turbines have been continuously improved, and the capacity of commercial wind turbines has increased from the original tens of kilowatts to the current 3-10MW. After bein...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38G06F17/50
CPCY02E10/76
Inventor 赵卓立杨苹尹旭许志荣
Owner SOUTH CHINA UNIV OF TECH
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