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

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 di...

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Main Authors: Mahmuda Begum, Mohsen Eskandari, Mohammad Abuhilaleh, Li Li, Jianguo Zhu
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/10/4/399
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author Mahmuda Begum
Mohsen Eskandari
Mohammad Abuhilaleh
Li Li
Jianguo Zhu
author_facet Mahmuda Begum
Mohsen Eskandari
Mohammad Abuhilaleh
Li Li
Jianguo Zhu
author_sort Mahmuda Begum
collection DOAJ
description 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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spelling doaj.art-840d81bc6f1e4b5ba3d2e0489a02977c2023-12-03T12:45:26ZengMDPI AGElectronics2079-92922021-02-0110439910.3390/electronics10040399Fuzzy-Based Distributed Cooperative Secondary Control with Stability Analysis for MicrogridsMahmuda Begum0Mohsen Eskandari1Mohammad Abuhilaleh2Li Li3Jianguo Zhu4Faculty of Engineering and IT, University of Technology Sydney, Ultimo 2007, AustraliaFaculty of Engineering, School of Electrical Engineering and Telecommunication, University of New South Wales, Sydney 2052, AustraliaFaculty of Engineering and IT, University of Technology Sydney, Ultimo 2007, AustraliaFaculty of Engineering and IT, University of Technology Sydney, Ultimo 2007, AustraliaSchool of Electrical and Information Engineering, University of Sydney, Camperdown 2006, AustraliaThis 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.https://www.mdpi.com/2079-9292/10/4/399distributed secondary controlconsensus controlfuzzy logicmicrogridstability analysis
spellingShingle Mahmuda Begum
Mohsen Eskandari
Mohammad Abuhilaleh
Li Li
Jianguo Zhu
Fuzzy-Based Distributed Cooperative Secondary Control with Stability Analysis for Microgrids
Electronics
distributed secondary control
consensus control
fuzzy logic
microgrid
stability analysis
title Fuzzy-Based Distributed Cooperative Secondary Control with Stability Analysis for Microgrids
title_full Fuzzy-Based Distributed Cooperative Secondary Control with Stability Analysis for Microgrids
title_fullStr Fuzzy-Based Distributed Cooperative Secondary Control with Stability Analysis for Microgrids
title_full_unstemmed Fuzzy-Based Distributed Cooperative Secondary Control with Stability Analysis for Microgrids
title_short Fuzzy-Based Distributed Cooperative Secondary Control with Stability Analysis for Microgrids
title_sort fuzzy based distributed cooperative secondary control with stability analysis for microgrids
topic distributed secondary control
consensus control
fuzzy logic
microgrid
stability analysis
url https://www.mdpi.com/2079-9292/10/4/399
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AT mohseneskandari fuzzybaseddistributedcooperativesecondarycontrolwithstabilityanalysisformicrogrids
AT mohammadabuhilaleh fuzzybaseddistributedcooperativesecondarycontrolwithstabilityanalysisformicrogrids
AT lili fuzzybaseddistributedcooperativesecondarycontrolwithstabilityanalysisformicrogrids
AT jianguozhu fuzzybaseddistributedcooperativesecondarycontrolwithstabilityanalysisformicrogrids