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Distributed state fusion estimation method of wind driven generator

A technology of wind generator and fusion estimation, which is applied in the direction of control generator, motor generator control, generator control circuit, etc., and can solve the problems of known statistical characteristics of noise and unknown statistical characteristics of noise, etc.

Inactive Publication Date: 2020-10-23
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0004] In order to solve the problem of known noise statistical characteristics and improve the accuracy of state estimation, the present invention proposes a distributed fusion estimation method with unknown noise statistical characteristics

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  • Distributed state fusion estimation method of wind driven generator
  • Distributed state fusion estimation method of wind driven generator
  • Distributed state fusion estimation method of wind driven generator

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Embodiment Construction

[0046] The present invention will be further described below in conjunction with the accompanying drawings.

[0047] refer to Figure 1 ~ Figure 4, a distributed state fusion estimation method of a wind power generator, said method comprising the following steps:

[0048] Step 1: Establish the mathematical model of the doubly-fed induction generator, the process is as follows:

[0049] The mathematical model of double-fed induction generator is a high-order, nonlinear, strongly coupled multivariable system. In order to establish the mathematical model, the following assumptions are made: 1.1. Neglecting the space harmonics, the magnetic potential is distributed sinusoidally along the air gap circumference; 1.2 . Neglecting the saturation of the magnetic circuit, the self-inductance and mutual inductance of each winding are linear; 1.3. The influence of frequency and temperature changes on the winding resistance is not considered; 1.4. When the stator current flows to the moto...

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Abstract

The invention discloses a distributed state fusion estimation method for a wind driven generator under the condition that noise statistical characteristics are unknown. The distributed state fusion estimation method comprises the steps of: proposing a mathematical model of a doubly-fed induction generator; establishing a state space model of the generator; designing a distributed fusion estimationmethod with unknown noise statistical characteristics; setting motor parameters, and solving two optimization problems to obtain a local optimal gain and a distributed weighted fusion matrix; and performing iterative updating to obtain fusion estimation of a generator state. The new distributed fusion estimation method is provided by the invention for solving the state estimation problem of the wind driven generator when the noise statistical characteristics cannot be accurately obtained, and is high in estimation precision.

Description

technical field [0001] The invention mainly aims at the state monitoring of the wind power generator, and estimates the state of the wind power generator through multi-sensor fusion technology. Background technique [0002] As the world's environmental problems become increasingly severe, the international community pays more and more attention to issues such as energy security, ecological pollution, and climate anomalies. It has become the consensus of countries all over the world to reduce the use of fossil energy and accelerate the development and utilization of renewable energy. Among them, wind power plays an important role in the development of renewable energy and has been applied on a large scale around the world. Wind power generation is a process in which wind kinetic energy is converted into mechanical kinetic energy and then converted into electrical energy. Its working principle is to use the power of wind to drive the windmill blades to rotate, and then use the...

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Application Information

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IPC IPC(8): H02P9/00H02P21/14H02P101/15H02P103/10
CPCH02P9/007H02P21/14H02P2101/15H02P2103/10
Inventor 陈博杨盛伟王如生
Owner ZHEJIANG UNIV OF TECH
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