Frequency Control of an Islanded Microgrid Based on Type-2 Fuzzy Logic Controller

Abstract

Microgrids offer a superior solution to traditional energy systems, especially in the quest to reduce pollution and enhance sustainability. This thesis explores the advanced control of frequency in islanded microgrids using Type 2 Fuzzy Logic Controllers. The research begins with an in-depth examination of microgrids, outlining their components, advantages, and the challenges they address. It then details the modeling of various energy sources, including photovoltaic systems, wind turbines, diesel generators, and hybrid electric vehicles, as well as energy storage solutions. The findings demonstrate that Type 2 Fuzzy Logic Controllers significantly enhance frequency stability, reduce response time, and minimize chattering, thereby paving the way for more resilient and efficient energy systems.