Method for identifying parameters of synchronous wind-driven generators on basis of improved particle swarm optimization algorithm

A technology for synchronous wind power generation and particle swarm improvement, applied in calculation, calculation models, instruments, etc., can solve problems such as slow calculation speed, unidentifiable, and inability to reflect the steady-state, dynamic and transient characteristics of synchronous wind power generators, and achieve Improve the accuracy and reliability, improve the control effect, improve the effect of convergence speed and identification accuracy

Inactive Publication Date: 2014-01-29
STATE GRID GASU ELECTRIC POWER RES INST +1
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Problems solved by technology

However, it also has obvious limitations. Most of the optimization algorithms have problems such as poor convergence or slow calculation speed, which makes it difficult or impossible to identify the parameters of the synchronous wind turbine. Without a good control effect, it cannot reflect the steady-state, dynamic and transient characteristics of the synchronous wind turbine

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  • Method for identifying parameters of synchronous wind-driven generators on basis of improved particle swarm optimization algorithm
  • Method for identifying parameters of synchronous wind-driven generators on basis of improved particle swarm optimization algorithm
  • Method for identifying parameters of synchronous wind-driven generators on basis of improved particle swarm optimization algorithm

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Embodiment Construction

[0012] The present invention and its beneficial effects will be further described below in conjunction with the accompanying drawings.

[0013] A parameter identification method for synchronous wind turbines based on improved particle swarm optimization algorithm, which involves electrical parameter identification and mechanical parameter identification of synchronous wind turbines; Optimize its parameters, realize the intelligent optimization of parameters, and finally identify the electrical parameters and mechanical parameters of the synchronous wind turbine. The specific steps are as follows:

[0014] Establish a fifth-order practical model of a synchronous wind turbine: the fifth-order practical model of a synchronous wind turbine includes an electrical parameter identification model and a mechanical parameter identification model. Q and field winding The electromagnetic transient state of the rotor and the mechanical dynamics of the rotor, the fifth-order practical mo...

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Abstract

The invention discloses a method for identifying parameters of synchronous wind-driven generators on the basis of an improved particle swarm optimization algorithm. The method has the advantages that selection genetic operation, crossover genetic operation and mutation genetic operation are carried out on the basis of the particle swarm optimization algorithm, so that the global search capacity and the local search capacity of the particle swarm algorithm can be improved, and the convergence speed of the particle swarm algorithm can be increased; measured data are directly acquired via a control center, so that the parameters of the synchronous wind-driven generators can be identified in an online manner, an existing method for identifying parameters of wind-driven generators in an offline manner under the condition of machine halt is changed, and normal running of the synchronous wind-driven generators is unaffected; the identified parameters effectively conform to actual running conditions of the synchronous wind-driven generators, and accordingly steady states, dynamic states and transient characteristics of the synchronous wind-driven generators can be effectively reflected.

Description

technical field [0001] The invention relates to the technical field of parameter identification of wind power generators, in particular to a method for parameter identification of synchronous wind power generators using an improved particle swarm algorithm. Background technique [0002] A reasonable and accurate synchronous wind turbine model can better reflect the steady-state, dynamic and transient characteristics of synchronous wind turbines, improve the control effect of synchronous wind turbines, and study the impact of large-scale wind power grid integration on the power system must be It is necessary to establish an accurate mathematical model of the wind turbine and measure accurate system dynamic parameters. At present, there are mainly the following methods for parameter identification of generators: the frequency domain identification method is used to apply a disturbance signal with a certain frequency bandwidth on the motor to be identified, and according to the...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/00
Inventor 温志伟董海鹰李欣李宏伟赵严张翔
Owner STATE GRID GASU ELECTRIC POWER RES INST
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