@inproceedings{068e47e8f67642cabb5f9f545a0ddbff,
title = "Fuzzy Logic Control Based Energy Management Strategy for Renewable Energy System",
abstract = "It is necessary to have an energy management strategy (EMS) to control the operation of the different components inside renewable system. In renewable hybrid power system containing fuel cell (FC), battery storage (BS) and supercapacitor (SC) (FC/BS/SC), the main objective is to minimize the hydrogen consumption of fuel cell. In FC/BS/SC system, the battery is helping the FC when the load power is high while SC is working at the load transient or load fast change. The management strategy is based on fuzzy logic control (FLC). It is used to manage optimally the load demand among the different components of FC/BS/SC system. Modeling and simulation of the different system components have been performed using the Matlab/Simulink software. Simulation results reveal the ability of EMS based on FLC to optimize the system performance. In this paper, an energy management strategy was designed to achieve this objective.",
keywords = "Energy efficiency, Energy management strategy, Fuel cell, Supercapacitor",
author = "Baset, \{Diana Abd El\} and Hegazy Rezk and Mohamed Hamada",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2nd International Youth Conference on Radio Electronics, Electrical and Power Engineering, REEPE 2020 ; Conference date: 12-03-2020 Through 14-03-2020",
year = "2020",
month = mar,
doi = "10.1109/REEPE49198.2020.9059203",
language = "English",
series = "Proceedings of the 2nd 2020 International Youth Conference on Radio Electronics, Electrical and Power Engineering, REEPE 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Rinat Nasyrov and Mohamed Tolba",
booktitle = "Proceedings of the 2nd 2020 International Youth Conference on Radio Electronics, Electrical and Power Engineering, REEPE 2020",
address = "United States",
}
