Fuzzy Rule-based Adaptive Virtual Inertia Control for Enhancing Multi-Region Micro-grid Dynamic Response

被引：0

作者：

Saxena, Abhishek ^{[1
,2
]}

Shankar, Ravi ^{[1
]}

Al Zaabi, Omar ^{[2
]}

Al Hosani, Khalifa ^{[2
]}

Muduli, Utkal Ranjan ^{[2
]}

机构：

[1] Natl Inst Technol, Dept Elect Engn, Patna 800005, Bihar, India

[2] Khalifa Univ, Adv Power & Energy Ctr APEC, Dept EECS, Abu Dhabi 127788, U Arab Emirates

来源：

2023 IEEE IAS GLOBAL CONFERENCE ON RENEWABLE ENERGY AND HYDROGEN TECHNOLOGIES, GLOBCONHT | 2023年

关键词：

Microgrids (MGs); virtual inertia control (VIC); frequency stabilization; optimal self-adaptive VIC; fuzzy logic;

D O I：

10.1109/GLOBCONHT56829.2023.10087873

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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.

引用

页数：6

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