A class of optimization methods for doubly-fed fans based on proportional-integral-derivative control

A proportional-integral-derivative, optimization method, applied in wind power generation, climate change adaptation, single-grid parallel feeding arrangement, etc., can solve problems such as increasing faults, avoid overshoot, improve long adjustment time, and reduce the impact of integral saturation Effect

Active Publication Date: 2022-04-01
GUANGXI UNIV +1
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Problems solved by technology

However, due to the existence of components such as brushes and gearboxes in double-fed motors, the probability of failure will increase, so the control strategy of double-fed motors is particularly important.

Method used

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  • A class of optimization methods for doubly-fed fans based on proportional-integral-derivative control
  • A class of optimization methods for doubly-fed fans based on proportional-integral-derivative control
  • A class of optimization methods for doubly-fed fans based on proportional-integral-derivative control

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Embodiment Construction

[0028] A kind of double-fed fan optimization method based on the idea of ​​proportional integral differential control proposed by the present invention is described in detail in conjunction with the accompanying drawings as follows:

[0029] figure 1 It is a structural schematic diagram of a doubly-fed wind power generation system according to the method of the present invention. Both the rotor side and the stator side of the doubly-fed fan can be connected to the AC power grid. Unlike the direct connection of the stator side to the power grid, the rotor side is connected to the power grid through a set of 'back-to-back' converters. The main function of the converter near the rotor is to adjust the rotor speed, control the active power output, and complete the maximum power point tracking. The main function of the converter near the AC grid side is to maintain the constant voltage of the branch bus, keep the active power balance of the control system, and participate in the r...

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Abstract

The invention provides a doubly-fed wind turbine optimization method based on proportional-integral-derivative control ideas. The purpose of the method is to optimize the control parameters of the current doubly-fed wind power generation system, complete maximum power point tracking, and optimize the economy and safety of system operation. The present invention proposes a class of optimization methods based on proportional-integral-derivative control ideas, including proportional-integral-derivative optimization methods, fractional-order proportional-integral-derivative optimization methods, active disturbance rejection optimization methods, and fractional-order active disturbance rejection optimization methods. Such methods can optimize control The proportional-integral controller parameters in the system minimize the deviation and improve the response time and control accuracy of the controller. The invention integrates the optimization method based on the control idea with the classic structure of the doubly-fed fan, optimizes the controller parameters through the optimization method based on the control idea, minimizes the system control deviation, and makes the operating curve and the maximum power curve approach.

Description

technical field [0001] The invention belongs to the field of renewable energy power generation in power systems, relates to a class of optimization methods, and is suitable for parameter optimization of double-fed wind turbines in power systems. Background technique [0002] The concept of energy crisis has been deeply rooted in the hearts of the people, and it is the common wish of people all over the world to find new energy sources for sustainable development. At present, in most parts of the world, clean energy such as wind energy, solar energy, and tidal energy are only supplements to traditional fossil energy, and have not completely replaced fossil energy. The reasons are that new energy sources have higher requirements on the environment, and some technologies are immature. However, with the rapid growth of the global economy and the increasing population, the demand for energy per capita has greatly increased. This provides an opportunity for sustainable developme...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/38
CPCY02A30/60Y02E10/76
Inventor 殷林飞高奇高放唐崇健刘小祥吴小宽陈磊杨兴恒苏宏发
Owner GUANGXI UNIV
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