Hybrid energy management system for microgrids

• Main Author: Wong, Jared Quan Yi
• Other Authors: Wang Youyi
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Electrical and electronic engineering::Computer hardware, software and systems; Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/149636
• Institution: Nanyang Technological University

Global warming issue has contributed to the rise of renewable energy system in the world today. Hence, the demand for renewable energy is inevitably high alongside with its renewable energy to the grid system and energy storage. This report reviews the author’s valuable experience in collaboration with ERI@N for its Final Year Project (FYP) from Aug 2020 to May 2021 in Nanyang Technological University, School of Electrical and Electronic Engineering. Hybrid Energy Management System for Microgrids is presented below, which includes a comprehensive study on hybrid energy storage (batteries and supercapacitors) and power electronic converters, selection of appropriate power converters to control the energy flow, followed by setting up the models (Battery, Supercapacitor and Power Converters), and lastly, evaluate the overall system performance in MATLAB/Simulink environment. Solar panel will be chosen as the power source, along with MPPT as its desired charge controller. Due to the precise accuracy of achieving maximum power point, INC algorithm is paired with MPPT. Despite being costly, lithium-ion battery is selected for the energy storage because of its high energy density and efficiency. In terms of the properties for supercapacitors, hybrid capacitor stands out. However, for Simulink simulation purpose, only EDLC is available. Hence EDLC is selected. Lastly to further improve the efficiency of the system, boost converters will be used for the battery storage and solar PV whereas inverters to the load.