{"id":3152,"date":"2026-04-10T10:51:12","date_gmt":"2026-04-10T02:51:12","guid":{"rendered":"https:\/\/iweb20wp-b205b.url.tku.edu.tw\/jase\/?post_type=tkuisotope&p=3152"},"modified":"2026-06-10T18:38:42","modified_gmt":"2026-06-10T10:38:42","slug":"control-with-fault-detection-of-the-dc-microgrids-using-sdre-controller-observer","status":"publish","type":"tkuisotope","link":"\/jase\/?tkuisotope=control-with-fault-detection-of-the-dc-microgrids-using-sdre-controller-observer","title":{"rendered":"Control with Fault Detection of the DC Microgrids Using SDRE-Controller-Observer"},"content":{"rendered":"\n
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<\/i> 2024<\/a><\/p>\n<\/div>\n\n\n\n

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<\/i> Volume 27, Issue 4<\/a><\/p>\n<\/div>\n\n\n\n

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Linchao Ma1<\/i><\/a> and Jingkui Mao2<\/p>\n\n\n\n

1<\/sup>School of Electrical Engineering and Automation, Henan Institute of Technology, Xinxiang, Henan 453003, China<\/p>\n\n\n\n

2<\/sup>School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, Anhui 230009, China<\/p>\n<\/div>\n\n\n\n

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Received:\u00a0March 2, 2023
Accepted:\u00a0July 28, 2023
Publication Date:\u00a0April 10, 2026<\/p>\n<\/div>\n<\/div>\n\n\n\n

\"\u4e0a\u50b3\u5716\u7247\"\n\n\n

The studied microgrid<\/p>\n<\/div>\n<\/div>\n\n\n\n

<\/i> Copyright <\/strong>The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0)<\/a>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.<\/p>\n\n\n\n

Download Citation:\u00a0 BibTeX <\/a>| http:\/\/dx.doi.org\/10.6180\/jase.202404_27(4).0003<\/a>\u00a0\u00a0<\/p>\n\n\n\n

Download PDF<\/a><\/p>\n\n\n\n

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In the present work, using the State-Dependent Riccati Equation approach, the optimal optimizer-controller is designed for a small DC network isolated from the network. The objectives are to control the output voltage of the solar cell, as well as output voltages of the battery, the capacitor bank and the DC busbar, and to detect possible faults in a timely manner. In the State-Dependent Riccati Equation observer\u2013controller design process, a non-linear model is used for modeling the dynamic behavior of the microgrid in different operating conditions. The efficiency of the studied microgrid has been assessed in the presence of uncertainty in system parameters and measurement noise. The results of the simulations show the ability of the suggested approach to detect faults in a timely manner, not to recognize the disturbance as a fault, as well as the effective and resistant performance of the progressive controller even in the disturbance presence. Quantitatively, the proposed fault detection method was able to generate non-zero residual current in the presence of faults, allowing for fault detection by defining an appropriate threshold. The threshold used in the study was 50. Additionally, the fault detection system was able to avoid misdiagnosis of disturbances as faults.<\/p>\n\n\n\n

Keywords:\u00a0Micro grid, State-Dependent Riccati Equation, Fault Detection, DC network<\/em><\/p>\n\n\n\n

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