False Data Injection Attacks (FDIAs) pose significant security threats to microgrids (MGs) by compromising data integrity, disrupting operations, and leading to incorrect decision-making. This paper provides an in-depth examination of FDIA methods specifically targeting smart inverters in MGs, focusing on how attackers exploit vulnerabilities in the grid’s communication systems by altering measurement and control data. The study analyzes various types of attacks, including both stealthy and non-stealthy FDIAs, and evaluates their effects on microgrid operations, such as distributed energy resource management, state estimation, and load balancing. By thoroughly analyzing FDIA techniques and their impacts, this study provides valuable insights for researchers and industry professionals working to strengthen smart inverters against evolving cyber threats.