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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MDPI AG
2021-02-01
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Series: | Electronics |
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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. |
first_indexed | 2024-03-09T05:16:05Z |
format | Article |
id | doaj.art-840d81bc6f1e4b5ba3d2e0489a02977c |
institution | Directory Open Access Journal |
issn | 2079-9292 |
language | English |
last_indexed | 2024-03-09T05:16:05Z |
publishDate | 2021-02-01 |
publisher | MDPI AG |
record_format | Article |
series | Electronics |
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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