Forecast model-based DC power spring control method

A technology of electric springs and predictive models, applied in AC network circuits, AC network voltage adjustment, electrical components, etc., can solve the problems of PI control lack of process dynamic understanding, lack of coupling information between variables, and difficulty in maintaining global performance, etc., to achieve Strong anti-interference ability, strong robustness and simple algorithm

Pending Publication Date: 2019-09-06
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology

[0004] At present, PI controllers are widely used in engineering. PI control is suitable for linear and nonlinear processes. It does not need to know the object model, has few parameters and is easy to debug. It can meet the general performance requirements of converters. However, PI controllers mainly play their advantages in loop control. When the control d

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  • Forecast model-based DC power spring control method
  • Forecast model-based DC power spring control method
  • Forecast model-based DC power spring control method

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Embodiment Construction

[0049] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0050] like figure 2 As shown, a DC electric spring control method based on a predictive model includes the following steps:

[0051] S1. Obtain the reference value of the inductance current of the LC filter based on the topology of the main circuit of the DC power spring;

[0052] S2. Based on the simplified model of the switch state of the DC power spring, a discrete prediction model of the DC power spring is obtained;

[0053]S3, establishing an objective function with the inductor current of the LC filter as the control variable;

[0054] S4. Combining the reference value of the inductor current of the LC filter and the discrete prediction model, the objective function is solved to obtain the optimal solution of the state of the DC power spring switch;

[0055] S5. According to the optimal solution of the state of the DC power spring swi

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Abstract

The invention relates to a forecast model-based DC power spring control method. The forecast model-based DC power spring control method comprises the steps of S1, obtaining an inductance current reference value of an LC filter according to a main circuit topological structure of a DC power spring main; S2, obtaining a discrete forecast model of the DC power spring according to a switch state simplification model of the DC power spring; S3, building a target function taking an inductance current of the LC filter as a control variable; S4, solving the target function by combining the inductancecurrent value of the LC filter and the discrete forecast model, and obtaining optimal solution of a switch state of the DC power spring; and S5, controlling a switch tube in a single-phase DC/DC converter to be switched on and switched off according to the optimal solution of the switch state of the DC power spring. Compared with the part art, the forecast model is utilized, the target function taking the inductance current as the control variable is built, the switch state of the DC power spring is corrected according to real-time information, and the forecast model-based DC power spring control method has the advantages of simple algorithm and high robustness.

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Application Information

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Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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