Paper Key : IRJ************827
Author: Raj Kushal Tiwari
Date Published: 11 Jul 2024
Abstract
The growing adoption of solar microgrids presents unique challenges in terms of reliability and efficiency. Fault detection and diagnostics (FDD) play a critical role in maintaining optimal operation. This paper reviews various methodologies and technologies for FDD in solar microgrids, focusing on advances over the past decade. We analyze different approaches, including signal processing, machine learning, and model-based techniques, highlighting their strengths and limitations.