TY - GEN
T1 - Fuzzy Controllers Based BMS with Multiport DC to DC Converter for DC Microgrid
AU - Muduli, Utkal Ranjan
AU - El Moursi, Mohamed Shawky
AU - Al Hosani, Khalifa
AU - Al-Durra, Ahmed
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This research addresses the challenge of ensuring stable energy management in DC microgrids powered by diverse renewable sources. The primary objective is to develop a robust Battery Energy Management System (BEMS) integrated with a multiport DC-to-DC converter to efficiently manage renewable energy inputs and maintain system stability. A shared DC bus connects a solar facility, wind power plant, and battery bank, with a Takagi-Sugeno Fuzzy controller governing the multiport converter. This controller ensures consistent voltage regulation and optimal system performance under varying conditions, such as fluctuating wind speeds, solar irradiance, and load demands. The methodology incorporates Maximum Power Point Tracking (MPPT) for renewable inputs and effective battery coordination. The results, demonstrated using OPAL-RT modules in diverse operational scenarios, validate the approach's efficiency. This study advances the understanding of DC microgrid energy management and provides a scalable solution for sustainable and reliable power supply systems.
AB - This research addresses the challenge of ensuring stable energy management in DC microgrids powered by diverse renewable sources. The primary objective is to develop a robust Battery Energy Management System (BEMS) integrated with a multiport DC-to-DC converter to efficiently manage renewable energy inputs and maintain system stability. A shared DC bus connects a solar facility, wind power plant, and battery bank, with a Takagi-Sugeno Fuzzy controller governing the multiport converter. This controller ensures consistent voltage regulation and optimal system performance under varying conditions, such as fluctuating wind speeds, solar irradiance, and load demands. The methodology incorporates Maximum Power Point Tracking (MPPT) for renewable inputs and effective battery coordination. The results, demonstrated using OPAL-RT modules in diverse operational scenarios, validate the approach's efficiency. This study advances the understanding of DC microgrid energy management and provides a scalable solution for sustainable and reliable power supply systems.
KW - Battery Energy Management System
KW - DC Microgrid
KW - Fuzzy Logic Control Systems
KW - Multiport DC-to-DC Converter
KW - Renewable Energy Integration
UR - https://www.scopus.com/pages/publications/105007890157
U2 - 10.1109/SPIES63782.2024.10983321
DO - 10.1109/SPIES63782.2024.10983321
M3 - Conference contribution
AN - SCOPUS:105007890157
T3 - 2024 6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024
SP - 360
EP - 365
BT - 2024 6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024
Y2 - 4 December 2024 through 6 December 2024
ER -