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Improving power sharing in islanded networked microgrids using fuzzy-based consensus control

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Dec 2018 Australia Publisher:Elsevier BVJournal:Sustainable Energy, Grids and Networks, volume 16, pages 259-269 (issn: 2352-4677,

Authors: Mohsen Eskandari; Li Li; Mohammad. H. Moradi;

doi: 10.1016/j.segan.2018.09.001

handle: 1959.4/unsworks_65853

Improving power sharing in islanded networked microgrids using fuzzy-based consensus control

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Abstract

Abstract The rising world-wide trend toward developing clean energy resources has caused dispersed installation of renewable energy resources (RESs) in distribution grids. Microgrid (MG) concept is proposed as a key factor in optimal and secure integration of, mostly converter-based, RESs into power systems. One of the major challenges related to MG control is ineffectiveness of droop control in accurate power sharing which is affected by the feeder impedance. In this paper, a fuzzy-based consensus control protocol is developed to address this issue in multi-bus MGs (MBMGs). Consensus signals are inserted into the conventional droop controller as complementary part to overcome the drawback of the droop control in power sharing in MBMGs. Dynamic fuzzy coefficients of consensus signals are designed to model X/R ratio of the grid impedance in the control system. In addition, a novel small signal model of MBMG is developed, by considering the conventional droop control, MBMG power network and power lines impedance to design and assess performance of the control system. Consensus control is also incorporated into the proposed control system of MBMG to analyze the stability. Simulation results are presented to assess effectiveness of the control strategy in MATLAB\Simulink.

Country

Australia

Related Organizations

UNSW Sydney
Australia
Bu-Ali Sina University
Iran (Islamic Republic of)
University of Technology Sydney
Australia
University of Technology Sydney
Australia
Bu-Ali Sina University
Iran (Islamic Republic of)

Keywords

anzsrc-for: 4009 Electronics, 13 Climate Action, 621, 620, anzsrc-for: 40 Engineering, 4009 Electronics, 7 Affordable and Clean Energy, 4008 Electrical Engineering, Sensors and Digital Hardware, anzsrc-for: 4008 Electrical Engineering, anzsrc-for: 0906 Electrical and Electronic Engineering, 40 Engineering

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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%