Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Model Predictive Control Method and System for Parallel Converter Based on Virtual Capacitor

A technology of model predictive control and virtual capacitance, applied in the direction of converting AC power input to DC power output, electrical components, output power conversion devices, etc., can solve distribution errors, differential voltage regulation performance, and reactive power distribution of converters Error and other problems, to achieve the effect of fast response, good voltage regulation ability, and accurate distribution

Active Publication Date: 2022-03-29
SHANDONG UNIV
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, feeder current measurements are required for impedance estimation, distribution errors remain during load changes, and can lead to poor voltage regulation performance
[0005] The inventor found that when the VSCs are running in parallel, the existing droop control will lead to an error in the distribution of reactive power among the converters

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
  • Model Predictive Control Method and System for Parallel Converter Based on Virtual Capacitor
  • Model Predictive Control Method and System for Parallel Converter Based on Virtual Capacitor
  • Model Predictive Control Method and System for Parallel Converter Based on Virtual Capacitor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 2

[0090] This embodiment provides a virtual capacitance-based parallel converter model predictive control system, which specifically includes the following modules:

[0091] a reactive power comparison module, which is used to obtain the output reactive power of the converter and compare it with the reference reactive power;

[0092] A virtual capacitor reactance adjustment module, which is used to automatically adjust the virtual capacitor reactance according to the comparison result of the output reactive power and the reference reactive power; wherein, the virtual capacitor is connected in series or in parallel to each parallel converter circuit;

[0093]A predictive model reference voltage calculation module, which is used to make a difference after the current output by the virtual capacitor is controlled by the droop control and the virtual impedance loop to obtain the predictive model reference voltage;

[0094] The optimal switch combination calculation module is used to...

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 belongs to the field of predictive control of AC micro-grids, and provides a model predictive control method and system for parallel converters based on virtual capacitors. Among them, the control method includes obtaining the output reactive power of the converter, and comparing it with the reference reactive power; according to the comparison result of the output reactive power and the reference reactive power, automatically adjusting the reactance of the virtual capacitor; wherein, the virtual capacitor is connected in series Or connect in parallel to each parallel converter circuit; the current output by the virtual capacitor is controlled by the droop control and the virtual impedance loop to make a difference to obtain the reference voltage of the prediction model; the reference voltage of the prediction model is used as the input of the prediction model control , optimize the corresponding cost function in the predictive model control strategy, and obtain the optimal switch combination corresponding to the minimized cost function, so as to optimally control the converter and enable it to obtain equal or proportional reactive power sharing.

Description

technical field [0001] The invention belongs to the field of predictive control of AC microgrids, and in particular relates to a model predictive control method and system for parallel converters based on virtual capacitors. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] The demand for renewable energy sources in power systems is growing rapidly. These renewable energy sources are also known as distributed generation (DG) because they can be located at multiple locations in a microgrid. DG usually requires voltage source conversion (VSC) to provide stable and safe power to loads connected to the microgrid. Droop control is an important method for power distribution in parallel VSCs. However, the mismatch of feeder impedance and droop coefficient of VSCs will lead to reactive power distribution errors among distributed VSCs connected in ...

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): H02M7/493H02J3/46H02J3/50
CPCH02M7/493H02J3/46H02J3/50
Inventor 张祯滨欧路利可·巴巴悠米李真董政李昱
Owner SHANDONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com