Energy storage converter improved finite set model prediction control method based on disturbance observation

A finite set model and predictive control technology, which is applied in the direction of prediction, output power conversion device, AC power input conversion to DC power output, etc., can solve the problem of out-of-control of the controlled object, high accuracy requirements of model parameters, and poor control effect And other issues

Active Publication Date: 2021-02-02
SHANGHAI MARITIME UNIVERSITY
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Problems solved by technology

However, model predictive control has high requirements on the accuracy of model parameters. If the paramete

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  • Energy storage converter improved finite set model prediction control method based on disturbance observation
  • Energy storage converter improved finite set model prediction control method based on disturbance observation
  • Energy storage converter improved finite set model prediction control method based on disturbance observation

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Embodiment Construction

[0062] The present invention will be further introduced by describing preferred specific embodiments in detail below in conjunction with the accompanying drawings.

[0063] The following is an example of a battery energy storage converter based on a three-phase two-level bidirectional AC-DC circuit and a single-inductance passive filter to describe the present invention in detail. figure 1 Schematic diagram of the structure of a T-type three-level power conversion system for battery energy storage applications, where U dc Indicates the DC voltage across the battery, i a i b i c Indicates the three-phase current flowing through the converter side inductance, u ga , u gb , u gc is the instantaneous value of the grid voltage. u a , u b , u c is the output voltage at the midpoint of each phase leg. L is the inductance of the passive filter, and R is its parasitic resistance.

[0064] The improved finite set model predictive control method of energy storage converter bas...

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Abstract

The invention discloses an energy storage converter improved finite control set model prediction control method based on disturbance observation. According to the method, a state observer is added inan algorithm process, uncertainty interference in a control loop serves as a variable, and the variable is estimated by the state observer and compensated in a prediction model. The method specifically comprises the steps of 1, adding uncertainty interference as a variable into a prediction model of the energy storage converter, and expanding a state space to obtain a system prediction model containing disturbance quantity; and 2, adding a feedback gain matrix on the basis of the rewritten system prediction model to construct a disturbance observer for estimating the disturbance quantity. According to the improved finite set model prediction control method, the influence of disturbance quantity on the system can be effectively solved, and the performance of the energy storage converter canbe further optimized.

Description

technical field [0001] The invention belongs to the related field of electric power automation equipment, in particular to an improved finite set model predictive control method for energy storage converters based on disturbance observation. Background technique [0002] Because of its low cost, fast response, low site requirements, and high energy density, battery energy storage technology is one of the effective means to solve power fluctuations in new energy power generation. The battery energy storage converter is a key electrical device in the battery energy storage system responsible for the conversion of battery DC energy to grid AC energy. Its control algorithm has a profound impact on system reliability, efficiency and power quality. [0003] Finite set model predictive control has the advantages of simple control and clear physical meaning, so it has been widely used in grid-connected converters, motor frequency converters and other equipment. However, model predi...

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Application Information

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IPC IPC(8): H02J3/32H02J3/00H02M7/483H02M7/537G06Q10/04G06F30/23
CPCH02J3/32H02J3/008H02M7/483H02M7/537G06Q10/04G06F30/23H02J2203/20
Inventor 高宁范淮裕朱立勋吴卫民
Owner SHANGHAI MARITIME UNIVERSITY
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