TY - GEN
T1 - Energy Management System Based on Finite State Machine for Battery-Supercapacitor Hybrid Energy Storage System on Standalone Photovoltaic
AU - Hilmi, M.
AU - Lystianingrum, Vita
AU - Romlie, Mohd Fakhizan
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The increasing adoption of renewable energy, particularly solar power, is a current focal point due to its easy installation, cost-effectiveness, and operational flexibility. Batteries, commonly used for energy storage, face challenges of high cost and a short lifespan due to low power density. To address these issues, the integration of batteries and supercapacitors in hybrid storage has gained popularity. This study employs the Finite State Machine (FSM) method, considering the state of charge (SoC) of storage, to efficiently regulate power sharing in a hybrid energy storage system (HESS). The hybrid storage system is connected to standalone solar panels, coupled by a DC bus voltage linked to the load. The control strategy manages PV mode and Load mode to ensure energy balance, avoiding overcharging and over-discharging of both storages. Simulations, and varying irradiation levels, demonstrate that the enhanced energy management system using FSM effectively controls power flow, PV mode, and load. Additionally, the stability of the DC bus voltage is maintained with minimal fluctuation.
AB - The increasing adoption of renewable energy, particularly solar power, is a current focal point due to its easy installation, cost-effectiveness, and operational flexibility. Batteries, commonly used for energy storage, face challenges of high cost and a short lifespan due to low power density. To address these issues, the integration of batteries and supercapacitors in hybrid storage has gained popularity. This study employs the Finite State Machine (FSM) method, considering the state of charge (SoC) of storage, to efficiently regulate power sharing in a hybrid energy storage system (HESS). The hybrid storage system is connected to standalone solar panels, coupled by a DC bus voltage linked to the load. The control strategy manages PV mode and Load mode to ensure energy balance, avoiding overcharging and over-discharging of both storages. Simulations, and varying irradiation levels, demonstrate that the enhanced energy management system using FSM effectively controls power flow, PV mode, and load. Additionally, the stability of the DC bus voltage is maintained with minimal fluctuation.
KW - Finite state machine
KW - HESS
KW - Stateflow
KW - filtering-based control
UR - http://www.scopus.com/inward/record.url?scp=85191686473&partnerID=8YFLogxK
U2 - 10.1109/ICPEA60617.2024.10498346
DO - 10.1109/ICPEA60617.2024.10498346
M3 - Conference contribution
AN - SCOPUS:85191686473
T3 - 2024 IEEE 4th International Conference in Power Engineering Applications: Powering the Future: Innovations for Sustainable Development, ICPEA 2024
SP - 91
EP - 96
BT - 2024 IEEE 4th International Conference in Power Engineering Applications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference in Power Engineering Applications, ICPEA 2024
Y2 - 4 March 2024 through 5 March 2024
ER -