@inproceedings{85dde6e694314a8ba67a307ab8f59aa3,
title = "Fuzzy Rule-based Adaptive Virtual Inertia Control for Enhancing Multi-Region Micro-grid Dynamic Response",
abstract = "The necessity to maintain frequency stabilization in low-inertia microgrids (MG) while incorporating renewable energy sources (RES) significantly hinders system inertia restoration. To solve this issue, virtual inertia control (VIC)-based energy storage would boost the inertia of MGs. However, the fixed virtual inertia factor used in this methodology highlights challenges with frequency regulation (FR) of MGs with varying RES intermittency. The fixed virtual inertia factor or suboptimal value selection could lead to severe frequency fluctuations in the grid. Therefore, to overcome the issue mentioned above and provide adaptive inertia management, which is essential for functional MG operation with RES penetration, this work suggests a rule-based self-adaptive VIC technique that makes use of the fuzzy logic control principle.",
keywords = "frequency stabilization, fuzzy logic, Microgrids (MGs), optimal self-adaptive VIC, virtual inertia control (VIC)",
author = "Abhishek Saxena and Ravi Shankar and \{Al Zaabi\}, Omar and \{Al Hosani\}, Khalifa and Muduli, \{Utkal Ranjan\}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 ; Conference date: 11-03-2023 Through 12-03-2023",
year = "2023",
doi = "10.1109/GlobConHT56829.2023.10087873",
language = "British English",
series = "2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023",
address = "United States",
}
