Self-tuning virtual synchronous generator control for improving frequency stability in autonomous photovoltaic-diesel microgrids
Abstract This paper investigates the use of a virtual synchronous generator (VSG) to improve frequency stability in an autonomous photovoltaic-diesel microgrid with energy storage. VSG control is designed to emulate inertial response and damping power via power injection from/to the energy storage s...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2017-12-01
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| Series: | Journal of Modern Power Systems and Clean Energy |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1007/s40565-017-0347-3 |
| _version_ | 1818961905244438528 |
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| author | Rongliang SHI Xing ZHANG Chao HU Haizhen XU Jun GU Wei CAO |
| author_facet | Rongliang SHI Xing ZHANG Chao HU Haizhen XU Jun GU Wei CAO |
| author_sort | Rongliang SHI |
| collection | DOAJ |
| description | Abstract This paper investigates the use of a virtual synchronous generator (VSG) to improve frequency stability in an autonomous photovoltaic-diesel microgrid with energy storage. VSG control is designed to emulate inertial response and damping power via power injection from/to the energy storage system. The effect of a VSG with constant parameters (CP-VSG) on the system frequency is analyzed. Based on the case study, self-tuning algorithms are used to search for optimal parameters during the operation of the VSG in order to minimize the amplitude and rate of change of the frequency variations. The performances of the proposed self-tuning (ST)-VSG, the frequency droop method, and the CP-VSG are evaluated by comparing their effects on attenuating frequency variations under load variations. For both simulated and experimental cases, the ST-VSG was found to be more efficient than the other two methods in improving frequency stability. |
| first_indexed | 2024-12-20T12:20:51Z |
| format | Article |
| id | doaj.art-4a1e7fcc31a746709ef1e9aa84c6c326 |
| institution | Directory Open Access Journal |
| issn | 2196-5625 2196-5420 |
| language | English |
| last_indexed | 2024-12-20T12:20:51Z |
| publishDate | 2017-12-01 |
| publisher | IEEE |
| record_format | Article |
| series | Journal of Modern Power Systems and Clean Energy |
| spelling | doaj.art-4a1e7fcc31a746709ef1e9aa84c6c3262022-12-21T19:41:00ZengIEEEJournal of Modern Power Systems and Clean Energy2196-56252196-54202017-12-016348249410.1007/s40565-017-0347-3Self-tuning virtual synchronous generator control for improving frequency stability in autonomous photovoltaic-diesel microgridsRongliang SHI0Xing ZHANG1Chao HU2Haizhen XU3Jun GU4Wei CAO5School of Electrical Engineering and Automation, Hefei University of TechnologySchool of Electrical Engineering and Automation, Hefei University of TechnologySchool of Electrical Engineering and Automation, Hefei University of TechnologySchool of Electrical Engineering and Automation, Hefei University of TechnologySchool of Electrical Engineering and Automation, Hefei University of TechnologySungrow Power Supply Co. Ltd.Abstract This paper investigates the use of a virtual synchronous generator (VSG) to improve frequency stability in an autonomous photovoltaic-diesel microgrid with energy storage. VSG control is designed to emulate inertial response and damping power via power injection from/to the energy storage system. The effect of a VSG with constant parameters (CP-VSG) on the system frequency is analyzed. Based on the case study, self-tuning algorithms are used to search for optimal parameters during the operation of the VSG in order to minimize the amplitude and rate of change of the frequency variations. The performances of the proposed self-tuning (ST)-VSG, the frequency droop method, and the CP-VSG are evaluated by comparing their effects on attenuating frequency variations under load variations. For both simulated and experimental cases, the ST-VSG was found to be more efficient than the other two methods in improving frequency stability.http://link.springer.com/article/10.1007/s40565-017-0347-3Virtual synchronous generator (VSG)Frequency stabilityAutonomous microgridSelf-tuning algorithmEnergy storage system |
| spellingShingle | Rongliang SHI Xing ZHANG Chao HU Haizhen XU Jun GU Wei CAO Self-tuning virtual synchronous generator control for improving frequency stability in autonomous photovoltaic-diesel microgrids Journal of Modern Power Systems and Clean Energy Virtual synchronous generator (VSG) Frequency stability Autonomous microgrid Self-tuning algorithm Energy storage system |
| title | Self-tuning virtual synchronous generator control for improving frequency stability in autonomous photovoltaic-diesel microgrids |
| title_full | Self-tuning virtual synchronous generator control for improving frequency stability in autonomous photovoltaic-diesel microgrids |
| title_fullStr | Self-tuning virtual synchronous generator control for improving frequency stability in autonomous photovoltaic-diesel microgrids |
| title_full_unstemmed | Self-tuning virtual synchronous generator control for improving frequency stability in autonomous photovoltaic-diesel microgrids |
| title_short | Self-tuning virtual synchronous generator control for improving frequency stability in autonomous photovoltaic-diesel microgrids |
| title_sort | self tuning virtual synchronous generator control for improving frequency stability in autonomous photovoltaic diesel microgrids |
| topic | Virtual synchronous generator (VSG) Frequency stability Autonomous microgrid Self-tuning algorithm Energy storage system |
| url | http://link.springer.com/article/10.1007/s40565-017-0347-3 |
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