Model prediction control method for inhibiting low-frequency oscillation of electric power system based on controllable reactor

A technology of model predictive control and low-frequency oscillation, applied in general control systems, control/regulation systems, adaptive control, etc., can solve problems such as unsatisfactory controller performance

Active Publication Date: 2016-09-28
SOUTHEAST UNIV
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Problems solved by technology

The disadvantage is that it is impossible to consider the constraints of the operating range of the device when designing the controller. Only a limiting link can b

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  • Model prediction control method for inhibiting low-frequency oscillation of electric power system based on controllable reactor
  • Model prediction control method for inhibiting low-frequency oscillation of electric power system based on controllable reactor
  • Model prediction control method for inhibiting low-frequency oscillation of electric power system based on controllable reactor

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[0040] figure 2 In order to realize the block diagram of the Matlab and PSCAD interactive simulation system based on the model predictive control method of the controllable reactor to suppress the low frequency oscillation of the power system of the present invention, the real-time system data obtained by the PSCAD operation at the current sampling time is input into MATLAB for model predictive control, and the calculated The control variable prediction result is returned to PSCAD. In the next step, PSCAD uses the new parameters to run the real-time simulation program, and again imports the data into MATLAB for control and calculation, and returns the result.

[0041] The core of PSCAD simulation software is EMTDC, which consists of two modules, namely System Dynamics and Network solution. Its dynamic program modules include Digital Dynamic Simulation (DSDYN) and Digital Simulation Output (DSOUT) Two subroutines, DSDYN can call an external Fortran subroutine, enable the MATLAB d...

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Abstract

The invention provides a model prediction control method for inhibiting low-frequency oscillation of an electric power system based on a controllable reactor. Through establishing electromagnetic transient simulation software PSCAD and an Matlab interactive simulation platform, a power system model which comprises the controllable reactor is established, thereby accurately describing a system real-time sate. The future dynamic track of a variable is controlled through a prediction system by means of the model prediction control method based on model characteristics of rolling optimization and feedback correction, and a real device adjustment range is visually added into an algorithm as a restraining condition, thereby improving defects caused by incapability of processing a system restraining condition according to a traditional method. The model prediction control method improves robustness and real-time performance of a controller through rolling optimization and feedback correction mechanisms. The model prediction control method further has advantages of flexibly processing restraining conditions for device control parameters, and improving negative effect of output upper/lower limit of a device and a time constant to controller performance.

Description

technical field [0001] The invention belongs to the field of power system stability and control, and in particular relates to a model predictive control method for suppressing low-frequency oscillation of a power system based on a controllable reactor. Background technique [0002] The main feature of model predictive control is online rolling optimization, and its control object is the trajectory of the control variable, and the optimization and solution of the system objective function is completed by predicting a certain performance index. The model predictive control algorithm combines rolling optimization with feedback correction to find the optimal solution for the time window corresponding to the current moment, and at the same time predicts and compensates future errors, forming a closed-loop optimal control. The model predictive control algorithm obtains accurate prediction of the future dynamic trajectory of the system by keeping the system model unchanged, reducin...

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/048
Inventor 林克曼林明耀李念万秋兰
Owner SOUTHEAST UNIV
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