Unlock instant, AI-driven research and patent intelligence for your innovation.

A wide-range regulation method of dab converter based on multi-mode model prediction

A model prediction, converter technology, applied in output power conversion devices, DC power input conversion to DC power output, instruments, etc., can solve problems such as self-parameter disturbance, external load disturbance, and inability to guarantee the operation of DAB converters. Achieve the effect of enhancing robustness, maintaining dynamic response, improving transmission efficiency and dynamic response

Active Publication Date: 2021-07-13
STATE GRID LIAONING ELECTRIC POWER RES INST +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] A big problem with model predictive control is that it depends on the accuracy of the model parameters, but in the actual working environment, due to the disturbance of its own parameters and external load disturbances caused by complex conditions of temperature and stray loss, it is necessary to control the DAB Transformer parameters are identified online to improve tracking performance, that is, model parameters are corrected in real time to improve the robustness of the DAB converter
[0007] Under actual operating conditions, various working conditions will be encountered. Only one operating mode cannot guarantee that the DAB converter can operate under a wide range of voltage conditions. It is necessary to conduct research on this to improve the robustness of the control system.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A wide-range regulation method of dab converter based on multi-mode model prediction
  • A wide-range regulation method of dab converter based on multi-mode model prediction
  • A wide-range regulation method of dab converter based on multi-mode model prediction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] The specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0056] A wide-range control method for DAB converter based on multi-mode model prediction, figure 1 It is a flow chart of a DAB converter wide-range control method based on multi-mode model prediction in the present invention. The secondary side real-time voltage and voltage given value are obtained through voltage collection; the voltage range is judged, and the mode type is selected according to the voltage fluctuation. When the voltage fluctuation is 10% or more, select mode A, and the control strategy of mode A is the dual-objective optimization of the coordinated control of current stress optimization strategy and model predictive control strategy; when the voltage fluctuation is within 5% to 10%, select mode B , the control strategy of mode B is the same as that of mode A, on this basis, the improved Kalman filter is introduced to id...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a wide-range control method for a DAB converter based on multi-mode model prediction, and relates to the technical field of new energy and DC micro-grid conversion. The invention adopts multi-mode control to realize the operation of the DAB converter in a wider voltage range, and optimizes different control targets through mode recognition, which is more suitable for complex working conditions and maintains the normal operation of the DAB converter. Mode A, mode B, and mode C are used to control the DAB converter in a wide range, which improves the transmission efficiency and dynamic response of the DAB converter, and reduces the amount of calculation without affecting the steady-state operation without the Kalman filter. The invention can effectively improve the three aspects of dynamic performance, steady-state transmission efficiency and robustness for the DAB converter in a wide range.

Description

technical field [0001] The invention relates to the technical field of new energy and DC micro-grid conversion, in particular to a wide-range control method for a DAB converter based on multi-mode model prediction. Background technique [0002] With the gradual depletion of fossil energy, countries have begun to attach importance to the development of clean energy and non-fossil energy. After decades of development, renewable energy can now be connected on a large scale and promote the transition from traditional power grids to smart grids, which is in line with current national policies. Require. At present, the most widely used form is the DC microgrid, one of which is the direct-to-direct conversion as the interface of photovoltaic arrays, fuel cells, and high-power energy storage capacitors. At the same time, the DC-DC converter in the field of electric vehicles is also one of the hotspots worldwide. In the field of electric vehicle charging station conversion technolog...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H02M3/335
CPCH02M3/33576H02M1/0003H02M1/0025
Inventor 张钊孙秋野王盼峰张潇桐马大中王刚孙家正孙峰蔡智阳黄雨佳李胜辉张佳豪戈阳阳谢赐戬付尧赵清松
Owner STATE GRID LIAONING ELECTRIC POWER RES INST