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UPFC control method based on nerve network sliding mode control

A neural network and control method technology, which is applied in the field of power electronic control, can solve the problems of high requirements for mathematical modeling of the system, weak robustness, and difficulty in obtaining satisfactory control effects, and achieves good adaptability and robustness. Easy-to-implement, dynamic results

Active Publication Date: 2016-06-01
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +1
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Problems solved by technology

[0005] The UPFC converter control method that has been adopted so far is mainly based on the classic PI control theory, which requires high mathematical modeling of the system, and it is difficult to obtain a satisfactory control effect, and its robustness is not strong.

Method used

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  • UPFC control method based on nerve network sliding mode control
  • UPFC control method based on nerve network sliding mode control
  • UPFC control method based on nerve network sliding mode control

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Embodiment Construction

[0026] specific implementation

[0027] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0028] Principle of the present invention is specifically described as follows:

[0029] (1) The disturbance observer based on sliding mode variable structure control needs to be controlled in the decoupled system state space, and the system state equations of the parallel side and series side in the two-phase rotating coordinate system are respectively established by using coordinate transformation:

[0030] { L E i · E d = ...

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Abstract

The invention provides an UPFC control method based on nerve network sliding mode control, which utilizes a converter targeting a parallel connection side and a serial connection side, and, on the basis of the vector control, constructs the state space of the parallel connection side and the serial connection side of the converter, adopts the radial basic function (RBF) nerve network algorithm and the momentum factor based on the classic gradient decedent algorithm to perform regulation on the hidden layer node center, the node width and the network weight value. The UPFC control method disclosed by the invention can realize the whole process adaptive control of the sliding mode state, removes the sensitivity of the sliding mode control to the external parameters, realizes the decoupling control of the active power and the reactive power, inhibits the oscillation during the system interference, and fast approaches the object value of the system operation. The structure is simple and the operation is reliable, and has good adaptability and robustness. The invention makes up the blanket in the field and provides necessary technical support and the beneficial reference to the improvement of unifying power flow controller stable control system.

Description

technical field [0001] The invention relates to a control method of a unified power flow controller (UPFC) converter, belongs to the technical field of power electronic control, and specifically relates to a UPFC control method based on neural network sliding mode control. Background technique [0002] The concept of Unified Power Flow Controller (UPFC for short) was first proposed by L. Gyugyi et al. in 1992. Foreign countries studied UPFC earlier. In 1998, the first device in the world was used for 138kV high-voltage transmission in the United States. The successful operation on the line is enough to show that the hardware implementation of UPFC is completely feasible, and the current project is running well. However, our country started relatively late, and began to study after 1995. [0003] As a series-parallel hybrid FACTS element, the unified power flow controller (UPFC) can flexibly control the power flow distribution and node voltage on the controlled transmission ...

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/04
Inventor 卫鹏刘建坤周前
Owner STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST
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