Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Model prediction current control method based on NPC topology grid connected inverter under asymmetric voltage

A technology of current control and model prediction, applied in the direction of converting AC power input to DC power output, electrical components, output power conversion devices, etc., can solve unbalanced distribution of single-phase load power consumption, unbalanced three-phase voltage of the grid, etc. problem, to achieve the effect of fast and simple design, fast dynamic response, and improved power quality

Active Publication Date: 2016-03-02
FUZHOU UNIV
View PDF3 Cites 32 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The occurrence of this type of asymmetric fault, the access of high-power single-phase loads, the unbalanced distribution of single-phase loads in the three-phase system, and the randomness of power consumption of single-phase loads will cause the three-phase voltage imbalance of the power grid.

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 prediction current control method based on NPC topology grid connected inverter under asymmetric voltage
  • Model prediction current control method based on NPC topology grid connected inverter under asymmetric voltage
  • Model prediction current control method based on NPC topology grid connected inverter under asymmetric voltage

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0059] This implementation provides a model predictive current control method for a three-phase grid-connected inverter based on NPC topology under asymmetric voltage, such as figure 1 , figure 2 and image 3 shown, including the following steps:

[0060] Step S1: as figure 1 The grid-connected main circuit system is shown, and the parameters of the grid-connected inverter system and the voltage level of the grid-connected point are selected. These parameters are selected as shown in Table 1 below, where V dc is the DC side voltage of the inverter; C 1 / C 2 is the DC side capacitance; L is the filter inductance; R is the equivalent resistance of the filter inductance; T s is the sampling time; e abc for grid voltage:

[0061] Table 1 System parameter selection block diagram

[0062]

[0063] Step S2: The total number of switching states m=27...

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 discloses a model prediction current control method based on an NPC topology grid connected inverter under asymmetric voltage, introducing the model prediction current control technology into the NPC grid connected inverter control. The model prediction current control method disclosed by the invention comprises steps of introducing decoupling double synchronization reference coordinate system phase-locked loop (DDSRF-PLL) phase lock technology to perform tracking on a positive sequence voltage phase angle in order to accurately track the positive sequence voltage phase angle under the condition that the power system has the asymmetric fault, on the basis, utilizing the DDSRF-PLL to decouple to obtain fundamental frequency voltage positive and negative sequence components, realizing a model prediction current control with the inhibition of the negative sequence current component, the active power oscillation and the reactive power oscillation as the control goal by combining with a instantaneous power theory, and adding a weight coefficient item into a cost function in order to guarantee the capacitor voltage balance on the DC side of the NPC grid connected inverter in the control process. In the whole control process, the invention reduces the usage of the PI controller, enhances the responding speed of the system, and enables the two sides of the grid connected inverter to have higher electric energy quality and stability.

Description

technical field [0001] The invention relates to the field of grid-connected inverter control, in particular to a model prediction current control method based on an NPC topology three-phase grid-connected inverter under asymmetric voltage. Background technique [0002] Looking at the research hotspots of new energy power generation systems in recent years and the research status at home and abroad, renewable new energy power generation technologies such as wind power generation and photovoltaic power generation have achieved unprecedented development. The new energy power generation system is a network dominated by inverters, so the development of new energy also drives the rapid development of power electronic converter technology. When the power grid system is in a stable operation state or a three-phase symmetrical fault occurs, the traditional proportional-integral (PI) control strategy based on the positive-sequence synchronous coordinate system can achieve a good contr...

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
IPC IPC(8): H02M7/487
CPCH02M7/487H02M1/0012
Inventor 金涛魏海斌张怡真郑先娜崔本丽
Owner FUZHOU UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products