Finite control set model predictive control method for lcl type energy storage converter

A technology of model predictive control and finite control set, applied in the direction of converting AC power input to DC power output, output power conversion device, AC network load balancing, etc., can solve the problem of reducing system performance, without considering the impact of control system Incoming current quality and other issues

Active Publication Date: 2021-03-02
安徽船途数字科技有限公司
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Problems solved by technology

[0004] In addition, traditional control methods do not take into account the impact of delay on the control system in practical applications, which greatly reduces system performance and affects the quality of incoming current

Method used

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  • Finite control set model predictive control method for lcl type energy storage converter
  • Finite control set model predictive control method for lcl type energy storage converter
  • Finite control set model predictive control method for lcl type energy storage converter

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Embodiment Construction

[0073] The invention discloses an improved finite control set model predictive control method for a battery energy storage converter including an LCL filter.

[0074] state variable estimation

[0075] The first content of the present invention is to estimate the converter side current, capacitor voltage and grid current according to the measured grid current. For the specific estimation method, see figure 1 . First, the LCL model is transformed into a state space equation, and then it is discretized to obtain a discretized LCL model.

[0076] x=[i 1 i 2 u c ] represent three state variables, v i Indicates the converter output voltage, v g Indicates the grid voltage, T s represents the sampling time; the state-space equation:

[0077]

[0078] in, B=[1 / L 1 0 0] T ,B d =[0-1 / L 2 0] T ,

[0079] Discretized LCL model:

[0080] x(k+1)=A 1 x(k)+B 1 v i (k)+B 2 v g (k) (2)

[0081]

[0082] Since the variable sampled in this example is the grid volt...

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Abstract

The invention discloses a finite control set model predictive control method for an LCL type energy storage converter, which combines state variable estimation with delay compensation, estimates converter side current, capacitor voltage and grid current by sampling grid current, and The error between the sampled grid current and the estimated grid current is passed through a correction matrix to reduce the impact caused by model mismatch and parameter drift, and then the estimated state variables are passed through a finite The control set model predicts the control algorithm to improve the system performance, and finally realizes the control of the LCL type energy storage converter. The invention can reduce the number of sensors, lower the cost, and improve the reliability of the system; combined with the delay compensation algorithm, the influence of the calculation delay on the performance of the system can be eliminated, and the quality of the incoming current can be improved.

Description

technical field [0001] The invention relates to the technical field of electrical automation and new energy electric energy conversion equipment, in particular to a finite control set model predictive control method for an LCL type energy storage converter. Background technique [0002] The energy storage converter (hereinafter referred to as the converter) is one of the key components in the distributed energy storage system, which can convert the DC power generated by the battery into AC power and integrate it into the grid, and realize the two-way transmission of energy. In order to make the incoming current conform to the harmonic standard, in addition to adopting many linear control strategies, many nonlinear control strategies are gradually applied to the energy storage converter. For example, with the improvement of DSP and FPGA computing speed in recent years, finite control set model predictive control has been widely used. The control method is simple to implement...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/32H02M7/5387
CPCH02J3/32H02M7/53871
Inventor 高宁陈小涛吴卫民陈昊李波
Owner 安徽船途数字科技有限公司
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