Abstract

Microgrids are described as linking many power sources (renewable energy and traditional sources) to meet the load consumption in real-time. Because renewable energy sources are intermittent, battery storage systems are required, typically used as a backup system. An energy management strategy (EMS) is required to govern power flows across the entire microgrid. In recent research, various methods have been proposed for controlling the micro-grids, especially voltage and frequency control. This study introduces a microgrid system, an overview of local control in the microgrid, and an efficient EMS for effective microgrid operations using three smart controllers for optimal microgrid stability. We design the microgrid, which is made up of renewable solar generators and wind sources, Li-ion battery storage system, backup electrical grids, and AC/DC loads, considering all of the functional needs of a microgrid EMS and microgrid stability. In addition, the battery energy storage is managed through the performance control of battery charging and discharging using an efficiency controller. The proposed control system is based on the optimum supply of loads through the available renewable sources and the battery State of Charge (SOC). The simulation results using MATLAB/Simulink show the desirable performance of the three control techniques (PID, Artificial Neural Network, and Fuzzy Logic) proposed for microgrid stability (in terms of power supply, voltage stability at the DC Bus, and frequency variation at the AC Bus).

Publication Date

12-2021

Document Type

Master's Project

Student Type

Graduate

Degree Name

Electrical Engineering (MS)

Department, Program, or Center

Graduate Programs & Research

Advisor

Abdulla Ismail

Campus

RIT Dubai

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