TY - GEN
T1 - Battery Saving Mode in Grid-Forming Battery Storage Systems for Islanded Microgrids
AU - Abdalla, Ammar Atif
AU - El Moursi, Mohamed Shawky
AU - El-Fouly, Tarek H.M.
AU - Al Hosani, Khalifa Hassan
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This study presents a novel control strategy for Photovoltaic (PV) power plant controllers, emphasizing their integral role in grid regulations. Modern PV power plants are increasingly required to participate intelligently in grid services during operation. Our proposed PV power plant controller is a smart, sophisticated structure, capable of operating in various modes based on the network status. It monitors the charging level of the connected Battery Energy Storage System (BESS) and the demand load to ensure effective battery management. In islanded microgrids, especially those powered by PV systems, maintaining the health of BESS is crucial. We introduce a grid-forming operation and a battery saving (BS) mode for BESS. The BESS operates in two primary modes: discharging when demand exceeds PV-generated power, and charging when generation surpasses demand. A significant challenge arises as the battery nears its maximum State of Charge (SOCmax), risking overcharging and reduced lifespan. To address this, we propose an algorithm that adjusts the PV system to operate sub-optimally, deviating from the Maximum Power Point Tracking (MPPT) mode. This adjustment prevents engagement of the charging mode at SOCmax. Simulation results show that our algorithm facilitates seamless transitions between battery modes during grid formation, ensuring voltage and frequency stability without compromise.
AB - This study presents a novel control strategy for Photovoltaic (PV) power plant controllers, emphasizing their integral role in grid regulations. Modern PV power plants are increasingly required to participate intelligently in grid services during operation. Our proposed PV power plant controller is a smart, sophisticated structure, capable of operating in various modes based on the network status. It monitors the charging level of the connected Battery Energy Storage System (BESS) and the demand load to ensure effective battery management. In islanded microgrids, especially those powered by PV systems, maintaining the health of BESS is crucial. We introduce a grid-forming operation and a battery saving (BS) mode for BESS. The BESS operates in two primary modes: discharging when demand exceeds PV-generated power, and charging when generation surpasses demand. A significant challenge arises as the battery nears its maximum State of Charge (SOCmax), risking overcharging and reduced lifespan. To address this, we propose an algorithm that adjusts the PV system to operate sub-optimally, deviating from the Maximum Power Point Tracking (MPPT) mode. This adjustment prevents engagement of the charging mode at SOCmax. Simulation results show that our algorithm facilitates seamless transitions between battery modes during grid formation, ensuring voltage and frequency stability without compromise.
KW - Battery storage system
KW - grid-forming control
KW - MPP operation
KW - photovoltaic system
KW - solar curtailment
UR - http://www.scopus.com/inward/record.url?scp=85195791769&partnerID=8YFLogxK
U2 - 10.1109/ICIT58233.2024.10540953
DO - 10.1109/ICIT58233.2024.10540953
M3 - Conference contribution
AN - SCOPUS:85195791769
T3 - Proceedings of the IEEE International Conference on Industrial Technology
BT - ICIT 2024 - 2024 25th International Conference on Industrial Technology
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th IEEE International Conference on Industrial Technology, ICIT 2024
Y2 - 25 March 2024 through 27 March 2024
ER -