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Bandwidth optimization control method for multi-grid-connected inverter system

A technology of inverter system and optimal control, which is applied in the direction of AC network circuit, single-network parallel feeding arrangement, circuit device, etc., can solve the problem of not considering the system bandwidth and other problems

Active Publication Date: 2019-04-05
广州保瓦电子科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The virtual impedance method that has been applied to multiple parallel systems is mostly used to solve the problem of power sharing among multiple units, without considering the system bandwidth problem caused by multiple parallel connections

Method used

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  • Bandwidth optimization control method for multi-grid-connected inverter system
  • Bandwidth optimization control method for multi-grid-connected inverter system
  • Bandwidth optimization control method for multi-grid-connected inverter system

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0092] 1. Resonance and control bandwidth analysis of multiple grid-connected inverter systems

[0093] Multi-inverter parallel system

[0094] Such as figure 1 Shown is a schematic diagram of parallel operation of multiple grid-connected inverters, and the nth renewable energy distributed generator (distributed generator, DG) is connected to the point of common coupling (point of common coupling, PCC). At the same time, the common bus is connected with loads, including harmonic generating loads and normal loads, and connected to the power grid with line impedance Zg. Inverter side filter inductance L of each inverter 1 , Network measurement filter inductance L 2 , filter capacitor C f form the inverter LCL filter, L g , R g is the grid impedance; u a , u b , u c is the three-phase voltage of the grid.

[0095] Such as figure 2 Shown is the control block diagram of the grid side current of the inverter system,

[0096] in K p is the scale coefficient of the qu...

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Abstract

The invention discloses a bandwidth optimization control method for a multi-grid-connected inverter system. The multi-grid-connected inverter system comprises multiple connected grid-connected inverter modules; and each grid-connected converter module comprises an inverter and an LCL filter which are connected, wherein the LCL filter comprises an inverter-side filter inductor L<1>, a network-sidefilter inductor L<2> and a filter capacitor C<f>. Bandwidth optimization is achieved by adopting at least one of the following methods: 1, inductors L<1d> and L<2d> are connected to the inverter-sideinductor L<1> and the network-side inductor L<2> equivalently in series; and 2, inductors L<cd> and C<d> are connected to the filter capacitor C<f> equivalently in parallel. According to the bandwidthoptimization control method for the multi-grid-connected inverter system, a control system can be significantly optimized.

Description

technical field [0001] The invention relates to a bandwidth optimization control method of a multi-grid-connected inverter system. Background technique [0002] In recent years, renewable energy power generation technologies represented by wind power and photovoltaics have developed rapidly. Renewable energy or energy storage systems generally use inverters as grid-connected interfaces. Unlike traditional grids that add additional active filters to compensate for harmonics, the inverters in the distributed generation system already have a harmonic compensation function, that is, the inverter completes the harmonic current while ensuring the traditional grid-connected inverter power output. The compensation function greatly reduces the cost of harmonic compensation, device volume and maintenance costs, and improves the cost performance of grid-connected inverters. [0003] With the continuous access of renewable energy input terminals, a large number of inverters operate at ...

Claims

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Application Information

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IPC IPC(8): H02J3/38
CPCH02J3/38H02J2203/20
Inventor 于晶荣邓礼敏陈壮深胡光文郭炳权蔡彬弟
Owner 广州保瓦电子科技有限公司
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