Fuzzy-Based Distributed Cooperative Secondary Control with Stability Analysis for Microgrids

Begum, M; Eskandari, M; Abuhilaleh, M; Li, L; Zhu, J

Fuzzy-Based Distributed Cooperative Secondary Control with Stability Analysis for Microgrids

Begum, M

Eskandari, M

Abuhilaleh, M

Li, L

Zhu, J

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Publisher:: MDPI AG
Publication Type:: Journal Article
Citation:: Electronics, 2021, 10, (4), pp. 1-25
Issue Date:: 2021-02-07

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Field	Value	Language
dc.contributor.author	Begum, M https://orcid.org/0000-0001-9389-5816
dc.contributor.author	Eskandari, M https://orcid.org/0000-0003-1185-9585
dc.contributor.author	Abuhilaleh, M https://orcid.org/0000-0002-6850-2969
dc.contributor.author	Li, L https://orcid.org/0000-0001-8485-2216
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047
dc.date.accessioned	2021-11-25T02:22:15Z
dc.date.available	2021-11-25T02:22:15Z
dc.date.issued	2021-02-07
dc.identifier.citation	Electronics, 2021, 10, (4), pp. 1-25
dc.identifier.issn	2079-9292
dc.identifier.issn	2079-9292
dc.identifier.uri	http://hdl.handle.net/10453/151832
dc.description.abstract	This research suggests a novel distributed cooperative control methodology for a secondary controller in islanded microgrids (MGs). The proposed control technique not only brings back the frequency/voltage to its reference values, but also maintains precise active and reactive power-sharing among distributed generation (DG) units by means of a sparse communication system. Due to the dynamic behaviour of distributed secondary control (DSC), stability issues are a great concern for a networked MG. To address this issue, the stability analysis is undertaken systematically, utilizing the small-signal state-space linearized model of considering DSC loops and parameters. As the dynamic behaviour of DSC creates new oscillatory modes, an intelligent fuzzy logic-based parameter-tuner is proposed for enhancing the system stability. Accurate tuning of the DSC parameters can develop the functioning of the control system, which increases MG stability to a greater extent. Moreover, the performance of the offered control method is proved by conducting a widespread simulation considering several case scenarios in MATLAB/Simscape platform. The proposed control method addresses the dynamic nature of the MG by supporting the plug-and-play functionality, and working even in fault conditions. Finally, the convergence and comparison study of the offered control system is shown.
dc.language	English
dc.publisher	MDPI AG
dc.relation.ispartof	Electronics
dc.relation.isbasedon	10.3390/electronics10040399
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0906 Electrical and Electronic Engineering
dc.title	Fuzzy-Based Distributed Cooperative Secondary Control with Stability Analysis for Microgrids
dc.type	Journal Article
utslib.citation.volume	10
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CCET - Centre for Clean Energy Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2021-11-25T02:22:09Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	10
utslib.citation.issue	4

Abstract:

This research suggests a novel distributed cooperative control methodology for a secondary controller in islanded microgrids (MGs). The proposed control technique not only brings back the frequency/voltage to its reference values, but also maintains precise active and reactive power-sharing among distributed generation (DG) units by means of a sparse communication system. Due to the dynamic behaviour of distributed secondary control (DSC), stability issues are a great concern for a networked MG. To address this issue, the stability analysis is undertaken systematically, utilizing the small-signal state-space linearized model of considering DSC loops and parameters. As the dynamic behaviour of DSC creates new oscillatory modes, an intelligent fuzzy logic-based parameter-tuner is proposed for enhancing the system stability. Accurate tuning of the DSC parameters can develop the functioning of the control system, which increases MG stability to a greater extent. Moreover, the performance of the offered control method is proved by conducting a widespread simulation considering several case scenarios in MATLAB/Simscape platform. The proposed control method addresses the dynamic nature of the MG by supporting the plug-and-play functionality, and working even in fault conditions. Finally, the convergence and comparison study of the offered control system is shown.

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http://hdl.handle.net/10453/151832