22nd Electrical Power Distribution Conference (EPDC 2017) , 2017-04-19

Title : ( Load sharing control of parallel inverters with uncertainty in the output filter impedances for islanding operation of AC micro-grid )

Authors: pourya sarvghadi , Mohammad Monfared ,

Citation: BibTeX | EndNote

Abstract

Parallel connection of inverter modules is a solution to increase reliability, efficiency and redundancy of inverters in Micro-Grid system. Proper load sharing among parallel inverters is a key point. The circulating current among the inverters can greatly reduce the efficiency or even cause instability of the system. In this paper, a control strategy for improving the load sharing performance in order to reduce the circulating current among parallel inverters in islanding micro-grid is proposed. The control strategy includes an estimator for filter parameters, which compensates for any possible uncertainty or drift of their value. Also a double loop feedback control, with an outer voltage and inner current control, is adopted that provides excellent operation at transient and steady-state conditions. Finally, the proposed control and estimation algorithms are confirmed through simulations of two 2kW parallel connected single phase inverters.

Keywords

, parallel inverters, Load sharing, circulating current, Predictive control
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@inproceedings{paperid:1063974,
author = {Sarvghadi, Pourya and Monfared, Mohammad},
title = {Load sharing control of parallel inverters with uncertainty in the output filter impedances for islanding operation of AC micro-grid},
booktitle = {22nd Electrical Power Distribution Conference (EPDC 2017)},
year = {2017},
location = {سمنان, IRAN},
keywords = {parallel inverters; Load sharing; circulating current; Predictive control},
}

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%0 Conference Proceedings
%T Load sharing control of parallel inverters with uncertainty in the output filter impedances for islanding operation of AC micro-grid
%A Sarvghadi, Pourya
%A Monfared, Mohammad
%J 22nd Electrical Power Distribution Conference (EPDC 2017)
%D 2017

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